Temperature compensation method and device for electro-optical effect voltage sensor

Abstract

The invention provides an electro-optical effect voltage sensor temperature compensation method and device, and belongs to the field of electro-optical effect voltage sensors. The method comprises the following steps: acquiring a working environment and operation time of a target electro-optical effect voltage sensor; according to the operation time and a preset temperature prediction model, obtaining an initial prediction temperature of the target electro-optical effect voltage sensor in the prediction time period; the initial prediction temperature is corrected according to the working environment, and the prediction temperature of the target electro-optical effect voltage sensor in the prediction time period is obtained; and performing temperature compensation on the measurement voltage of the target electro-optical effect voltage sensor according to the predicted temperature and a preset temperature compensation model to obtain the temperature compensation voltage of the target electro-optical effect voltage sensor. According to the invention, temperature compensation can be carried out on the electro-optical effect voltage sensor without a temperature sensor, so that the target electro-optical effect voltage sensor can be better suitable for a high-voltage measurement scene.

Description

Technical Field

[0001] The present invention relates to the technical field of electro-optic effect voltage sensors, and in particular, to a temperature compensation method and device for an electro-optic effect voltage sensor. Background Art

[0002] With the continuous development of the power system, its requirements for intelligence, digitization, large capacity, etc. have brought new challenges to voltage sensing devices. Compared with traditional contact voltage transformers, the optical voltage sensor based on the Pockels effect (also known as the electro-optic effect voltage sensor) has the advantages of non-contact measurement, lightweight and miniaturization of the sensing device, low manufacturing cost, fast measurement response, wide bandwidth, etc., so it has a good application prospect. However, the temperature drift problem of the optical voltage sensor has always been a major problem in the practical process.

[0003] In order to solve the temperature drift problem and eliminate the adverse effects brought by temperature changes, many methods such as the dual optical path compensation method, the dual crystal compensation method, and the software compensation method have been tried. However, the dual optical path compensation method can improve the sensor stability to a certain extent, but there are differences in the optoelectronic conversion coefficients on different optical paths and the measurement results are scattered, resulting in an unsatisfactory compensated result. The dual crystal compensation method can better compensate for temperature drift, but according to its compensation principle, it can be known that in the ideal state, the two crystals need to have exactly the same physical size and optical properties. Therefore, the dual crystal compensation method has high requirements for the quality, size processing, and direction assembly of the two crystals. The software compensation method can, to a certain extent, make up for the disadvantages of hardware compensation methods such as the dual optical path compensation method and the dual crystal compensation method, which are difficult to debug in actual operation and are not conducive to popularization and application. However, there is less research on the software compensation method in the field of optical voltage sensors. Usually, a temperature sensor needs to be installed inside the optical voltage sensor to collect the temperature in real time to correct the output of the optical voltage sensor. But this method requires adding a temperature sensor on the one hand, and on the other hand, for the special high-voltage measurement environment of the power system, its insulation problem also needs to be solved. Summary of the Invention

[0004] The embodiments of the present invention provide a temperature compensation method and device for an electro-optic effect voltage sensor to solve the problems of adding a temperature sensor and limited high-voltage measurement scenarios when performing software-based temperature compensation on an electro-optic effect voltage sensor.

[0005] In a first aspect, the embodiments of the present invention provide a temperature compensation method for an electro-optic effect voltage sensor, including:

[0006] Obtain the working environment and operating time of the target electro-optic effect voltage sensor;

[0007] According to the operating time and the preset temperature prediction model, obtain the initial predicted temperature of the target electro-optic effect voltage sensor during the prediction period, where the preset temperature prediction model is the temperature prediction model of the voltage-sensitive unit of the target electro-optic effect voltage sensor;

[0008] Correct the initial predicted temperature according to the working environment to obtain the predicted temperature of the target electro-optic effect voltage sensor during the prediction period;

[0009] Perform temperature compensation on the measured voltage of the target electro-optic effect voltage sensor according to the predicted temperature and the preset temperature compensation model to obtain the temperature-compensated voltage of the target electro-optic effect voltage sensor.

[0010] In a possible implementation, the working environment includes ambient temperature, ambient humidity, ambient light intensity, and ambient wind speed;

[0011] Correct the initial predicted temperature according to the working environment to obtain the predicted temperature of the target electro-optic effect voltage sensor during the prediction period, including:

[0012] Determine a first influence coefficient according to the ambient humidity, a second influence coefficient according to the ambient light intensity, and a third influence coefficient according to the ambient wind speed;

[0013] Correct the ambient temperature according to the ambient temperature, the initial predicted temperature, the first influence coefficient, the second influence coefficient, and the third influence coefficient to obtain the predicted surface temperature of the target electro-optic effect voltage sensor;

[0014] Correct the initial predicted temperature according to the predicted surface temperature to obtain the predicted temperature of the target electro-optic effect voltage sensor during the prediction period.

[0015] In a possible implementation, correcting the ambient temperature according to the ambient temperature, the initial predicted temperature, the first influence coefficient, the second influence coefficient, and the third influence coefficient to obtain the predicted surface temperature of the target electro-optic effect voltage sensor includes:

[0016] According to Obtain the predicted surface temperature of the target electro-optic effect voltage sensor;

[0017] where, T s is the predicted surface temperature of the target electro-optic effect voltage sensor, β is the second temperature influence coefficient, T 0 is the ambient temperature, T p0 is the initial predicted temperature, k 1 、k 2 are constants, α is the first influence coefficient, and σ is the third influence coefficient.

[0018] In a possible implementation, correcting the initial predicted temperature according to the predicted surface temperature to obtain the predicted temperature of the target electro-optic effect voltage sensor during the prediction period includes:

[0019] According to obtain the predicted temperature of the target electro-optic effect voltage sensor during the prediction period;

[0020] wherein, T p is the predicted temperature of the target electro-optic effect voltage sensor during the prediction period, T p0 is the initial predicted temperature, and T s is the predicted surface temperature.

[0021] In a possible implementation, the construction process of the preset temperature prediction model is as follows:

[0022] Obtain a training set, where the training set has temperature data of voltage-sensitive units of electro-optic effect voltage sensors with different structural forms at different operating times;

[0023] According to the training set, for each structural form, fit the relationship between the corresponding temperature data and the operating time to obtain a preset temperature prediction model for electro-optic effect voltage sensors of each structural form.

[0024] In a possible implementation, obtaining the initial predicted temperature of the target electro-optic effect voltage sensor during the prediction period according to the operating time and the preset temperature prediction model includes:

[0025] Obtain the preset temperature prediction model corresponding to the structural form of the target electro-optic effect voltage sensor, denoted as the target temperature prediction model;

[0026] Predict the temperature of the target electro-optic effect voltage sensor during the prediction period according to the operating time and the target temperature prediction model to obtain the initial predicted temperature of the target electro-optic effect voltage sensor during the prediction period.

[0027] In a possible implementation, after obtaining the training set, it further includes:

[0028] According to the training set, using each structural form and operating time of the electro-optic effect voltage sensor as inputs, and the temperature data of the voltage-sensitive unit of the electro-optic effect voltage sensor in this structural form and this operating time as outputs, train the initial neural network model to obtain the preset temperature prediction model.

[0029] In a possible implementation, the construction process of the preset temperature compensation model is as follows:

[0030] When the temperature of the voltage-sensitive unit of the electro-optic effect voltage sensor is at different temperature values, obtain the measured voltage value output by the electro-optic effect voltage sensor and the corresponding actual voltage value;

[0031] Fit the relationship between the actual voltage value, the measured voltage value and different temperature values to obtain the preset temperature compensation model.

[0032] In a possible implementation manner, performing temperature compensation on the measured voltage of the target electro-optic effect voltage sensor according to the predicted temperature and the preset temperature compensation model to obtain the temperature compensation voltage of the target electro-optic effect voltage sensor, including:

[0033] Modify the preset temperature compensation model according to the working environment and the running time to obtain the target temperature compensation model corresponding to the target electro-optic effect voltage sensor;

[0034] Perform temperature compensation on the measured voltage of the target electro-optic effect voltage sensor according to the predicted temperature and the target temperature compensation model to obtain the temperature compensation voltage of the target electro-optic effect voltage sensor.

[0035] In a second aspect, an embodiment of the present invention provides an electro-optic effect voltage sensor temperature compensation device, including:

[0036] An acquisition module, configured to acquire the working environment and running time of the target electro-optic effect voltage sensor;

[0037] A first processing module, configured to obtain an initial predicted temperature of the target electro-optic effect voltage sensor in a prediction period according to the running time and a preset temperature prediction model, where the preset temperature prediction model is a temperature prediction model of the voltage-sensitive unit of the target electro-optic effect voltage sensor;

[0038] A second processing module, configured to correct the initial predicted temperature according to the working environment to obtain the predicted temperature of the target electro-optic effect voltage sensor in the prediction period;

[0039] A temperature compensation module, configured to perform temperature compensation on the measured voltage of the target electro-optic effect voltage sensor according to the predicted temperature and the preset temperature compensation model to obtain the temperature compensation voltage of the target electro-optic effect voltage sensor.

[0040] An embodiment of the present invention provides a temperature compensation method and device for an electro-optic effect voltage sensor. By obtaining the working environment and operating time of the target electro-optic effect voltage sensor, the initial predicted temperature of the target electro-optic effect voltage sensor during the prediction period can be obtained first according to the operating time and a preset temperature prediction model. Wherein, the preset temperature prediction model is the temperature prediction model of the voltage-sensitive unit of the target electro-optic effect voltage sensor. Then, the initial predicted temperature is corrected according to the working environment, and the predicted temperature of the target electro-optic effect voltage sensor during the prediction period can be obtained more accurately. Furthermore, the measured voltage of the target electro-optic effect voltage sensor is temperature-compensated according to the predicted temperature and a preset temperature compensation model to obtain the temperature-compensated voltage of the target electro-optic effect voltage sensor, so that the target electro-optic effect voltage sensor can be temperature-compensated without adding a temperature sensor, enabling the target electro-optic effect voltage sensor to be better applicable to high-voltage measurement scenarios. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required for use in the embodiments or the description of the prior art. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0042] Figure 1 is a flowchart of the temperature compensation method for the electro-optic effect voltage sensor provided by the embodiment of the present invention;

[0043] Figure 2 is a flowchart of correcting the initial predicted temperature provided by the embodiment of the present invention;

[0044] Figure 3 is a schematic diagram of the temperature compensation device for the electro-optic effect voltage sensor provided by the embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0045] In the following description, specific details such as specific system structures and technologies are proposed for the purpose of illustration rather than limitation, so as to thoroughly understand the embodiments of the present invention. However, those skilled in the art should clearly understand that the present invention can also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to avoid unnecessary details from interfering with the description of the present invention.

[0046] To make the purpose, technical solutions, and advantages of the present invention clearer, the following will be described through specific embodiments in conjunction with the drawings.

[0047] Figure 1The implementation flowchart of the temperature compensation method for the electro-optic effect voltage sensor provided by the embodiment of the present invention is described in detail as follows:

[0048] Step 101, obtain the working environment and running time of the target electro-optic effect voltage sensor.

[0049] Among them, the target electro-optic effect voltage sensor can be an electro-optic effect voltage sensor that is in use and needs temperature compensation.

[0050] Exemplarily, in order to facilitate the subsequent implementation of the temperature compensation of the target electro-optic effect voltage sensor without adding a temperature sensor, when obtaining the working environment of the target electro-optic effect voltage sensor, the working environment that affects the temperature of the voltage-sensitive unit of the target electro-optic effect voltage sensor can be obtained, such as the ambient temperature, ambient humidity, ambient light intensity, ambient wind speed, etc. of the target electro-optic effect voltage sensor.

[0051] Among them, the working environment data such as ambient temperature, ambient humidity, ambient light intensity, and ambient wind speed can be obtained based on the meteorological data of the location where the target electro-optic effect voltage sensor is located, and there is no need to add other sensors, so as to avoid the limitation of the application environment that may be brought by adding sensors as much as possible.

[0052] On this basis, the influence of the running time of the target electro-optic effect voltage sensor on the voltage-sensitive unit is also considered, and the running time of the target electro-optic effect voltage sensor from the start of use to the current moment when temperature compensation is required is obtained.

[0053] Step 102, obtain the initial predicted temperature of the target electro-optic effect voltage sensor in the prediction period according to the running time and the preset temperature prediction model.

[0054] Among them, the preset temperature prediction model is the temperature prediction model of the voltage-sensitive unit of the target electro-optic effect voltage sensor.

[0055] Exemplarily, the construction process of the preset temperature prediction model can be:

[0056] Obtain a training set, and the training set has temperature data of the voltage-sensitive units of electro-optic effect voltage sensors with different structural forms at different running times.

[0057] According to the training set, for each structural form, fit the relationship between the corresponding temperature data and the running time to obtain the preset temperature prediction model of the electro-optic effect voltage sensor of each structural form.

[0058] Correspondingly, obtaining the initial predicted temperature of the target electro-optic effect voltage sensor in the prediction period according to the running time and the preset temperature prediction model can include:

[0059] A preset temperature prediction model corresponding to the structural form of the target electro-optical effect voltage sensor is obtained and recorded as a target temperature prediction model.

[0060] The temperature of the target electro-optical effect voltage sensor in the prediction period is predicted according to the running time and the target temperature prediction model to obtain an initial predicted temperature of the target electro-optical effect voltage sensor in the prediction period.

[0061] In this embodiment, it is considered that the electro-optical effect voltage sensor has a variety of structural forms, such as a longitudinal modulation type electro-optical voltage sensor, a transverse modulation type electro-optical voltage sensor, etc., and different structural forms may have different corresponding preset temperature prediction models due to structural differences. Therefore, in acquiring the training set, the temperature data corresponding to each structural form of the electro-optical effect voltage sensor at different operating times can be acquired according to the different structural forms, so as to construct a preset temperature prediction model for each structural form, so as to more accurately obtain the predicted temperature of the target electro-optical effect voltage sensor.

[0062] Exemplarily, the process of constructing the preset temperature prediction model may also be:

[0063] A training set is obtained, wherein the training set includes temperature data of voltage sensitive units of electro-optical effect voltage sensors with different structural forms at different operating times.

[0064] According to the training set, the initial neural network model is trained with each structural form and operating time of the electro-optical effect voltage sensor as input and the temperature data of the voltage sensitive unit of the electro-optical effect voltage sensor under the structural form and the operating time as output to obtain a preset temperature prediction model.

[0065] Correspondingly, at this time, based on the operating time and the preset temperature prediction model, the initial predicted temperature of the target electro-optical effect voltage sensor in the prediction period is obtained, that is, the operating time and structural form of the target electro-optical effect voltage sensor are input into the preset temperature prediction model to obtain the corresponding initial predicted temperature.

[0066] In this embodiment, the initial neural network model is trained by taking each structural form and operating time of the electro-optical effect voltage sensor as input and the temperature data of the voltage sensitive unit of the electro-optical effect voltage sensor under the structural form and the operating time as output to obtain a preset temperature prediction model. This allows for relatively accurate prediction of the temperatures of electro-optical effect voltage sensors with different structural forms without the need to construct multiple preset temperature prediction models.

[0067] Step 103, correcting the initial predicted temperature according to the working environment to obtain the predicted temperature of the target electro-optical effect voltage sensor in the predicted period.

[0068] In this embodiment, in order to accurately predict the temperature of the voltage-sensitive unit of the target electro-optic effect voltage sensor and then perform accurate temperature compensation on it, based on the initial predicted temperature obtained from the preset temperature prediction model, the influence of the working environment of the target electro-optic effect voltage sensor on the temperature of its voltage-sensitive unit is also considered. The initial predicted temperature is corrected by the ambient temperature, ambient humidity, ambient light intensity, ambient wind speed, etc. of the target electro-optic effect voltage sensor, so as to more accurately obtain the predicted temperature of the target electro-optic effect voltage sensor during the prediction period.

[0069] Step 104, perform temperature compensation on the measured voltage of the target electro-optic effect voltage sensor according to the predicted temperature and the preset temperature compensation model to obtain the temperature-compensated voltage of the target electro-optic effect voltage sensor.

[0070] Exemplarily, the construction process of the preset temperature compensation model can be as follows:

[0071] When the temperature of the voltage-sensitive unit of the electro-optic effect voltage sensor is at different temperature values, obtain the measured voltage value output by the electro-optic effect voltage sensor and the corresponding actual voltage value.

[0072] Fit the relationship between the actual voltage value, the measured voltage value, and different temperature values to obtain the preset temperature compensation model.

[0073] Alternatively, use different temperature values and their corresponding measured voltage values as inputs, and the corresponding actual voltage values as outputs to train another initial neural network model or deep learning model to obtain the preset temperature compensation model.

[0074] After constructing the preset temperature compensation model, use the predicted temperature and the measured voltage of the target electro-optic effect voltage sensor as dependent variables or inputs, and substitute them into the preset temperature compensation model to obtain the temperature-compensated voltage of the target electro-optic effect voltage sensor.

[0075] In the embodiment of the present invention, by obtaining the working environment and running time of the target electro-optic effect voltage sensor, the initial predicted temperature of the target electro-optic effect voltage sensor during the prediction period can be obtained first according to the running time and the preset temperature prediction model. Wherein, the preset temperature prediction model is the temperature prediction model of the voltage-sensitive unit of the target electro-optic effect voltage sensor. Then, the initial predicted temperature is corrected according to the working environment, and the predicted temperature of the target electro-optic effect voltage sensor during the prediction period can be obtained more accurately. Furthermore, the measured voltage of the target electro-optic effect voltage sensor is temperature-compensated according to the predicted temperature and the preset temperature compensation model to obtain the temperature-compensated voltage of the target electro-optic effect voltage sensor, so that the temperature compensation of the target electro-optic effect voltage sensor can be performed without adding a temperature sensor, enabling the target electro-optic effect voltage sensor to be better applicable to high-voltage measurement scenarios.

[0076] In one embodiment, the working environment may include ambient temperature, ambient humidity, ambient light intensity, and ambient wind speed.

[0077] Correspondingly, as Figure 2 shown, correcting the initial predicted temperature according to the working environment to obtain the predicted temperature of the target electro-optic effect voltage sensor during the prediction period may include:

[0078] Step 201, determining a first influence coefficient according to the ambient humidity, a second influence coefficient according to the ambient light intensity, and a third influence coefficient according to the ambient wind speed.

[0079] Step 202, correcting the ambient temperature according to the ambient temperature, the initial predicted temperature, the first influence coefficient, the second influence coefficient, and the third influence coefficient to obtain the predicted surface temperature of the target electro-optic effect voltage sensor.

[0080] Step 203, correcting the initial predicted temperature according to the predicted surface temperature to obtain the predicted temperature of the target electro-optic effect voltage sensor during the prediction period.

[0081] Exemplarily, when obtaining the training set for constructing the preset temperature prediction model, it can be carried out under the set ambient temperature, set ambient humidity, set ambient light intensity, and set ambient wind speed to provide a basis for subsequently measuring the first influence coefficient, the second influence coefficient, and the third influence coefficient.

[0082] Among them, when determining the set ambient temperature, set ambient humidity, set ambient light intensity, and set ambient wind speed, the first influence coefficient can be obtained according to the difference between the ambient humidity and the set ambient humidity, the second influence coefficient can be obtained according to the ratio of the ambient light intensity to the set ambient light intensity, and the third influence coefficient can be obtained according to the difference between the ambient wind speed and the set ambient wind speed.

[0083] On this basis, considering that the ambient temperature, ambient humidity, ambient light intensity, ambient wind speed, etc. mainly affect the surface temperature of the target electro-optic effect voltage sensor, and the surface temperature of the target electro-optic effect voltage sensor will further affect the temperature of the voltage sensing unit of the target electro-optic effect voltage sensor. Therefore, first correct the ambient temperature according to the ambient temperature, the initial predicted temperature, the first influence coefficient, the second influence coefficient, and the third influence coefficient to obtain the predicted surface temperature of the target electro-optic effect voltage sensor, and then correct the initial predicted temperature according to the predicted surface temperature to obtain the predicted temperature of the target electro-optic effect voltage sensor during the prediction period.

[0084] Exemplarily, correcting the ambient temperature according to the ambient temperature, the initial predicted temperature, the first influence coefficient, the second influence coefficient, and the third influence coefficient to obtain the predicted surface temperature of the target electro-optic effect voltage sensor may include:

[0085] According to Obtain the predicted surface temperature of the target electro-optic effect voltage sensor.

[0086] Wherein, T s is the predicted surface temperature of the target electro-optic effect voltage sensor, β is the second temperature influence coefficient, T 0 is the ambient temperature, T p0 is the initial predicted temperature, k 1 and k 2 are constants that can be determined by fitting solution, α is the first influence coefficient, and σ is the third influence coefficient.

[0087] In this embodiment, considering that the surface temperature of the target electro-optic effect voltage sensor ultimately tends to the ambient temperature, and moreover, the ambient light intensity has a relatively large influence on the surface temperature of the target electro-optic effect voltage sensor, the ambient humidity and ambient wind speed have relatively small influences on the surface temperature of the target electro-optic effect voltage sensor, and when the difference between the surface temperature of the target electro-optic effect voltage sensor and the ambient temperature is larger, the influences of the ambient humidity and ambient wind speed on the surface temperature of the target electro-optic effect voltage sensor are greater, and when the difference between the surface temperature of the target electro-optic effect voltage sensor and the ambient temperature is smaller, the influences of the ambient humidity and ambient wind speed on the surface temperature of the target electro-optic effect voltage sensor are smaller. Therefore, the surface temperature of the target electro-optic effect voltage sensor can be estimated according to the formula as the predicted surface temperature of the target electro-optic effect voltage sensor.

[0088] Exemplarily, correcting the initial predicted temperature according to the predicted surface temperature to obtain the predicted temperature of the target electro-optic effect voltage sensor during the prediction period may include:

[0089] According to Obtain the predicted temperature of the target electro-optic effect voltage sensor during the prediction period.

[0090] Wherein, T p is the predicted temperature of the target electro-optic effect voltage sensor during the prediction period, T p0 is the initial predicted temperature, and T s is the predicted surface temperature.

[0091] In this embodiment, after obtaining the predicted surface temperature of the target electro-optic effect voltage sensor, further consider the influence of the predicted surface temperature of the target electro-optic effect voltage sensor on the temperature of the voltage sensing unit of the target electro-optic effect voltage sensor, and then make a further correction according to the difference between the predicted surface temperature of the target electro-optic effect voltage sensor and the initial predicted temperature of the voltage sensing unit of the target electro-optic effect voltage sensor, so that the predicted temperature of the target electro-optic effect voltage sensor during the prediction period is closer to the true value.

[0092] In one embodiment, temperature compensation is performed on the measured voltage of the target electro-optic effect voltage sensor according to the predicted temperature and the preset temperature compensation model to obtain the temperature compensation voltage of the target electro-optic effect voltage sensor, which may include:

[0093] Modify the preset temperature compensation model according to the working environment and running time to obtain the target temperature compensation model corresponding to the target electro-optic effect voltage sensor.

[0094] Perform temperature compensation on the measured voltage of the target electro-optic effect voltage sensor according to the predicted temperature and the target temperature compensation model to obtain the temperature compensation voltage of the target electro-optic effect voltage sensor.

[0095] In this embodiment, considering the problem that the preset temperature compensation model constructed according to the temperature of the voltage-sensitive unit of the electro-optic effect voltage sensor, the measured voltage value output by the electro-optic effect voltage sensor, and the corresponding actual voltage value has poor adaptability and it is difficult to obtain a more accurate temperature compensation effect in actual application, it is considered to modify the preset temperature compensation model according to the working environment and running time of the target electro-optic effect voltage sensor. First, obtain the target temperature compensation model for the target electro-optic effect voltage sensor, and then perform temperature compensation on the measured voltage of the target electro-optic effect voltage sensor according to the predicted temperature and the target temperature compensation model to more accurately obtain the temperature compensation voltage of the target electro-optic effect voltage sensor.

[0096] It should be understood that the magnitudes of the sequence numbers of the steps in the above embodiments do not mean the order of execution. The order of execution of each process should be determined by its function and internal logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.

[0097] The following is the device embodiment of the present invention. For the details not described in detail, reference may be made to the corresponding method embodiment above.

[0098] Figure 3 The structural schematic diagram of the electro-optic effect voltage sensor temperature compensation device provided by the embodiment of the present invention is shown. For the convenience of description, only the parts related to the embodiment of the present invention are shown and are described in detail as follows:

[0099] As Figure 3 shown, the electro-optic effect voltage sensor temperature compensation device includes: an acquisition module 31, a first processing module 32, a second processing module 33, and a temperature compensation module 34.

[0100] The acquisition module 31 is used to acquire the working environment and running time of the target electro-optic effect voltage sensor.

[0101] The first processing module 32 is configured to obtain an initial predicted temperature of the target electro-optic effect voltage sensor during a prediction period according to the operating time and a preset temperature prediction model, where the preset temperature prediction model is a temperature prediction model of a voltage-sensitive unit of the target electro-optic effect voltage sensor.

[0102] The second processing module 33 is configured to correct the initial predicted temperature according to the working environment to obtain a predicted temperature of the target electro-optic effect voltage sensor during the prediction period.

[0103] The temperature compensation module 34 is configured to perform temperature compensation on the measured voltage of the target electro-optic effect voltage sensor according to the predicted temperature and a preset temperature compensation model to obtain a temperature-compensated voltage of the target electro-optic effect voltage sensor.

[0104] In an embodiment of the present invention, by obtaining the working environment and operating time of the target electro-optic effect voltage sensor, the initial predicted temperature of the target electro-optic effect voltage sensor during the prediction period can be first obtained according to the operating time and the preset temperature prediction model. Here, the preset temperature prediction model is a temperature prediction model of the voltage-sensitive unit of the target electro-optic effect voltage sensor. Then, by correcting the initial predicted temperature according to the working environment, the predicted temperature of the target electro-optic effect voltage sensor during the prediction period can be obtained more accurately. Furthermore, by performing temperature compensation on the measured voltage of the target electro-optic effect voltage sensor according to the predicted temperature and the preset temperature compensation model, a temperature-compensated voltage of the target electro-optic effect voltage sensor is obtained, so that temperature compensation can be performed on the target electro-optic effect voltage sensor without adding a temperature sensor, enabling the target electro-optic effect voltage sensor to be better applicable to high-voltage measurement scenarios.

[0105] In a possible implementation manner, the working environment includes ambient temperature, ambient humidity, ambient light intensity, and ambient wind speed; the second processing module 33 can be configured to determine a first influence coefficient according to the ambient humidity, determine a second influence coefficient according to the ambient light intensity, and determine a third influence coefficient according to the ambient wind speed; correct the ambient temperature according to the ambient temperature, the initial predicted temperature, the first influence coefficient, the second influence coefficient, and the third influence coefficient to obtain a predicted surface temperature of the target electro-optic effect voltage sensor; and correct the initial predicted temperature according to the predicted surface temperature to obtain a predicted temperature of the target electro-optic effect voltage sensor during the prediction period.

[0106] In a possible implementation manner, the second processing module 33 can be configured to obtain a predicted surface temperature of the target electro-optic effect voltage sensor.

[0107] where, T sis the predicted surface temperature of the target electro-optic effect voltage sensor, β is the second temperature influence coefficient, T 0 is the ambient temperature, T p0 is the initial predicted temperature, k 1 、k 2 is a constant, α is the first influence coefficient, and σ is the third influence coefficient.

[0108] In a possible implementation manner, the second processing module 33 can be used to obtain the predicted temperature of the target electro-optic effect voltage sensor during the prediction period.

[0109] where T p is the predicted temperature of the target electro-optic effect voltage sensor during the prediction period, T p0 is the initial predicted temperature, T s is the predicted surface temperature.

[0110] In a possible implementation manner, the construction process of the preset temperature prediction model is as follows:

[0111] Obtain a training set, where the training set contains temperature data of the voltage-sensitive unit of electro-optic effect voltage sensors with different structural forms at different operating times.

[0112] According to the training set, for each structural form, fit the relationship between the corresponding temperature data and the operating time to obtain the preset temperature prediction model of the electro-optic effect voltage sensor of each structural form.

[0113] In a possible implementation manner, the first processing module 32 can be used to obtain the preset temperature prediction model corresponding to the structural form of the target electro-optic effect voltage sensor, denoted as the target temperature prediction model; predict the temperature of the target electro-optic effect voltage sensor during the prediction period according to the operating time and the target temperature prediction model, and obtain the initial predicted temperature of the target electro-optic effect voltage sensor during the prediction period.

[0114] In a possible implementation manner, after obtaining the training set, it further includes: according to the training set, using each structural form and operating time of the electro-optic effect voltage sensor as inputs, and using the temperature data of the voltage-sensitive unit of the electro-optic effect voltage sensor in this structural form and this operating time as outputs, training the initial neural network model to obtain the preset temperature prediction model.

[0115] In a possible implementation manner, the construction process of the preset temperature compensation model is as follows:

[0116] When the temperature of the voltage-sensitive unit of the electro-optic effect voltage sensor is at different temperature values, obtain the measured voltage value output by the electro-optic effect voltage sensor and the corresponding actual voltage value.

[0117] Fit the relationship between the actual voltage value, the measured voltage value, and different temperature values to obtain the preset temperature compensation model.

[0118] In a possible implementation manner, the temperature compensation module 34 can be used to correct the preset temperature compensation model according to the working environment and the running time to obtain the target temperature compensation model corresponding to the target electro-optic effect voltage sensor; perform temperature compensation on the measured voltage of the target electro-optic effect voltage sensor according to the predicted temperature and the target temperature compensation model to obtain the temperature compensation voltage of the target electro-optic effect voltage sensor.

[0119] In the above embodiments, the descriptions of the various embodiments have their own emphases. For parts not detailed or recorded in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0120] Those of ordinary skill in the art can realize that the templates, units, and algorithm steps of the examples described in combination with the embodiments disclosed herein can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods for each specific application to implement the described functions, but such implementation should not be considered to exceed the scope of the present invention.

[0121] If the module / unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, to implement all or part of the processes in the above method embodiments of the present invention, it can also be completed by a computer program instructing relevant hardware. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by a processor, the steps of the above embodiments of the temperature compensation method for the electro-optic effect voltage sensor can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in the form of source code, object code, executable file, or some intermediate form, etc. The computer-readable medium can include: any entity or device capable of carrying the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory, random access memory, electrical carrier signal, telecommunication signal, and software distribution medium, etc.

[0122] The embodiments described above are only used to illustrate the technical solutions of the present invention, rather than to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be included in the protection scope of the present invention.

Claims

1. A temperature compensation method for an electro-optical effect voltage sensor, characterized in that: include: Obtain the working environment and operating time of the target electro-optical effect voltage sensor; According to the operating time and a preset temperature prediction model, an initial predicted temperature of the target electro-optical effect voltage sensor in a prediction period is obtained, wherein the preset temperature prediction model is a temperature prediction model of a voltage sensitive unit of the target electro-optical effect voltage sensor; Correcting the initial predicted temperature according to the working environment to obtain a predicted temperature of the target electro-optical effect voltage sensor in a predicted period; The measured voltage of the target electro-optical effect voltage sensor is temperature compensated according to the predicted temperature and the preset temperature compensation model to obtain the temperature compensated voltage of the target electro-optical effect voltage sensor.

2. The temperature compensation method for an electro-optical effect voltage sensor according to claim 1, characterized in that: The working environment includes ambient temperature, ambient humidity, ambient light intensity and ambient wind speed; The initial predicted temperature is corrected according to the working environment to obtain a predicted temperature of the target electro-optical effect voltage sensor in a predicted period, including: Determine a first influence coefficient according to the ambient humidity, determine a second influence coefficient according to the ambient light intensity, and determine a third influence coefficient according to the ambient wind speed; Correcting the ambient temperature according to the ambient temperature, the initial predicted temperature, the first influence coefficient, the second influence coefficient, and the third influence coefficient to obtain a predicted surface temperature of the target electro-optical effect voltage sensor; The initial predicted temperature is corrected according to the predicted surface temperature to obtain a predicted temperature of the target electro-optical effect voltage sensor in a predicted period of time.

3. The temperature compensation method for an electro-optical effect voltage sensor according to claim 2, characterized in that: The ambient temperature is corrected according to the ambient temperature, the initial predicted temperature, the first influence coefficient, the second influence coefficient, and the third influence coefficient to obtain a predicted surface temperature of a target electro-optical effect voltage sensor, including: according to obtaining a predicted surface temperature of a target electro-optical effect voltage sensor; Among them, T s is the predicted surface temperature of the target electro-optical effect voltage sensor, β is the second temperature influence coefficient, T0 is the ambient temperature, T p0 is the initial predicted temperature, k1 and k2 are constants, α is the first influence coefficient, and σ is the third influence coefficient.

4. The temperature compensation method for an electro-optical effect voltage sensor according to claim 2, characterized in that: The initial predicted temperature is corrected according to the predicted surface temperature to obtain a predicted temperature of the target electro-optical effect voltage sensor in the predicted period, including: according to Obtaining a predicted temperature of a target electro-optical effect voltage sensor in a predicted period of time; Among them, T p is the predicted temperature of the target electro-optical effect voltage sensor during the prediction period, T p0 is the initial predicted temperature, T s is the predicted surface temperature.

5. The temperature compensation method for an electro-optical effect voltage sensor according to claim 1, characterized in that: The construction process of the preset temperature prediction model is as follows: Acquire a training set, wherein the training set includes temperature data of voltage sensitive units of electro-optical effect voltage sensors with different structural forms at different operating times; According to the training set, for each structural form, the relationship between the corresponding temperature data and the operating time is fitted to obtain a preset temperature prediction model for the electro-optical effect voltage sensor of each structural form.

6. The temperature compensation method for an electro-optical effect voltage sensor according to claim 5, characterized in that: According to the operating time and the preset temperature prediction model, obtaining the initial predicted temperature of the target electro-optical effect voltage sensor in the prediction period includes: Acquire a preset temperature prediction model corresponding to the structure of the target electro-optical effect voltage sensor, recorded as a target temperature prediction model; The temperature of the target electro-optical effect voltage sensor in the prediction period is predicted according to the operating time and the target temperature prediction model to obtain an initial predicted temperature of the target electro-optical effect voltage sensor in the prediction period.

7. The temperature compensation method for an electro-optical effect voltage sensor according to claim 5, characterized in that: After obtaining the training set, the method further includes: According to the training set, the initial neural network model is trained with each structural form and operating time of the electro-optical effect voltage sensor as input and the temperature data of the voltage sensitive unit of the electro-optical effect voltage sensor under the structural form and the operating time as output to obtain the preset temperature prediction model.

8. The temperature compensation method for an electro-optical effect voltage sensor according to claim 1, characterized in that: The construction process of the preset temperature compensation model is: When the temperature of the voltage sensitive unit of the electro-optical effect voltage sensor is different, obtaining a measured voltage value and a corresponding actual voltage value output by the electro-optical effect voltage sensor; The relationship between the actual voltage value, the measured voltage value and different temperature values ​​is fitted to obtain the preset temperature compensation model.

9. The temperature compensation method for an electro-optical effect voltage sensor according to claim 1, characterized in that: Performing temperature compensation on the measured voltage of the target electro-optical effect voltage sensor according to the predicted temperature and the preset temperature compensation model to obtain the temperature compensated voltage of the target electro-optical effect voltage sensor includes: Modifying a preset temperature compensation model according to the working environment and the operating time to obtain a target temperature compensation model corresponding to the target electro-optical effect voltage sensor; The measured voltage of the target electro-optical effect voltage sensor is temperature compensated according to the predicted temperature and the target temperature compensation model to obtain the temperature compensated voltage of the target electro-optical effect voltage sensor.

10. A temperature compensation device for an electro-optical effect voltage sensor, characterized in that: include: An acquisition module, used for acquiring the working environment and operating time of the target electro-optical effect voltage sensor; A first processing module, configured to obtain an initial predicted temperature of a target electro-optical effect voltage sensor in a predicted period according to the operating time and a preset temperature prediction model, wherein the preset temperature prediction model is a temperature prediction model of a voltage sensitive unit of the target electro-optical effect voltage sensor; A second processing module is used to correct the initial predicted temperature according to the working environment to obtain a predicted temperature of the target electro-optical effect voltage sensor in a predicted period; The temperature compensation module is used to perform temperature compensation on the measured voltage of the target electro-optical effect voltage sensor according to the predicted temperature and a preset temperature compensation model to obtain the temperature compensated voltage of the target electro-optical effect voltage sensor.

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