A method, device and computer-readable storage medium for correcting heat dissipation index

Abstract

The present invention provides a method, device and computer-readable storage medium for correcting a heat dissipation index, the method comprising: obtaining historical illuminance data of a tower to be tested for several days and first heat dissipation index data of the day; obtaining standardized data based on the historical illuminance data; calibrating all the shielding time periods of the standardized data in one day; determining the second heat dissipation index data corresponding to each shielding time period in the first heat dissipation index data, calculating the heat dissipation index mean of the first ten minutes of each shielding time period, and correcting the second heat dissipation index data. Compared with the prior art, the shielding time period is determined and calibrated based on standardized data, and the heat dissipation index data is corrected based on a heat dissipation index mean, which eliminates the influence of multiple factors on solar radiation, improves the accuracy of measurement, corrects the capacity increase margin of the transmission line and reduces the operation risk.

Description

Technical Field

[0001] The present invention relates to the field of electric power, and in particular to a method and device for correcting a heat dissipation index and a computer-readable storage medium. Background Art

[0002] The factors that affect the transmission capacity of the transmission line include wind speed, ambient temperature and solar radiation, all of which may affect the heat dissipation index. The prior art usually installs the heat dissipation environment monitoring equipment on the tower below the cross arm of the tower head, at the same height as the conductor, to measure heat dissipation environment parameters such as the heat dissipation index. However, the tower head of the tower usually has a cross arm extending to the side. At the same time of the day, solar radiation will be blocked by the angle steel of the tower head, or blocked by clouds at a certain moment. Therefore, direct sunlight cannot be monitored, and the heat dissipation index measurement result is equivalent to a cloudy day, which makes the measurement result tend to increase the capacity margin of the transmission line. If the capacity increase of the transmission line is guided by a value with a large capacity increase margin, the safety risk of the operation of the transmission line will increase. Summary of the invention

[0003] The present invention provides a method, device and computer-readable storage medium for correcting a heat dissipation index, which solves the problem of the influence of solar radiation blocked by a tower head on the heat dissipation index measurement result and improves the accuracy of heat dissipation index measurement.

[0004] In order to solve the above technical problem, an embodiment of the present invention provides a method for correcting a heat dissipation index, comprising:

[0005] Obtaining historical illumination data of the tower to be tested for several days and first heat dissipation index data of the day; wherein the first heat dissipation index data includes the heat dissipation index for 24 hours of the day;

[0006] According to the historical illumination data, obtaining standardized data;

[0007] Calibrate all occlusion time periods of the standardized data in one day;

[0008] Determine the second heat dissipation index data corresponding to each shielding time period in the first heat dissipation index data, calculate the heat dissipation index average of the first ten minutes of each shielding time period, and correct the second heat dissipation index data according to the heat dissipation index average.

[0009] As a preferred solution, the standardized data is obtained according to the historical illumination data, specifically:

[0010] The illuminance data at each moment within thirty days before the current day are determined, the average illuminance at each moment in the day is calculated respectively, and the average illuminance at each moment in the day is arranged into a standardized curve as the standardized data.

[0011] As a preferred solution, the calibration of all blocked time periods in the standardized data in a day is specifically: identifying and calibrating all time intervals in the standardized curve where the maximum illuminance within ten minutes is greater than twice the minimum illuminance as blocked time periods.

[0012] As a preferred solution, the second heat dissipation index data is corrected according to the heat dissipation index mean value, specifically: the second heat dissipation index data corresponding to the same shielding time period is corrected according to each heat dissipation index mean value.

[0013] As a preferred solution, the correction method is applied to a measuring device, wherein the measuring device comprises a remote terminal unit, a light illumination sensor and a heat index sensor; the remote terminal unit is connected to the light illumination sensor and the heat index sensor respectively;

[0014] The step of obtaining the historical illumination data of the tower to be tested for several days and the first heat dissipation index data of the day is specifically as follows:

[0015] The heat dissipation index of the tower to be measured is measured in real time by the heat dissipation index sensor, and after measuring the first heat dissipation index data of the day, the first heat dissipation index data is sent to the remote terminal unit;

[0016] The illuminance of the tower to be measured is measured in real time by the illuminance sensor, and the illuminance of several days is used as the illuminance historical data, and the illuminance historical data is sent to the remote terminal unit.

[0017] Correspondingly, an embodiment of the present invention further provides a device for correcting a heat dissipation index, comprising a data acquisition module, a standardization processing module, a calibration module and a correction module; wherein:

[0018] The data acquisition module is used to acquire the historical illumination data of the tower to be tested for several days and the first heat dissipation index data of the day; wherein the first heat dissipation index data includes the heat dissipation index of 24 hours of the day;

[0019] The standardization processing module is used to obtain standardized data according to the historical illumination data;

[0020] The calibration module is used to calibrate all the occlusion time periods of the standardized data in a day;

[0021] The correction module is used to determine the second heat dissipation index data corresponding to each blocking time period in the first heat dissipation index data, calculate the average heat dissipation index of the first ten minutes of each blocking time period, and correct the second heat dissipation index data according to the average heat dissipation index.

[0022] As a preferred solution, the standardization processing module obtains standardized data according to the historical illumination data, specifically:

[0023] The standardization processing module determines the illuminance data at each moment within thirty days before the current day, calculates the average illuminance at each moment in the day, and arranges the average illuminance at each moment in the day into a standardized curve as standardized data.

[0024] As a preferred solution, the calibration module calibrates all the blocked time periods in the standardized data in a day, specifically: the calibration module identifies and calibrates all time intervals in the standardized curve within ten minutes where the maximum illuminance is greater than twice the minimum illuminance as blocked time periods.

[0025] As a preferred solution, the correction module corrects the second heat dissipation index data according to the heat dissipation index mean value, specifically: the correction module corrects the second heat dissipation index data corresponding to the same shielding time period according to each heat dissipation index mean value.

[0026] Correspondingly, an embodiment of the present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium includes a stored computer program, wherein when the computer program is running, the device where the computer-readable storage medium is located is controlled to execute the method for correcting the heat dissipation index.

[0027] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0028] The embodiment of the present invention provides a method, device and computer-readable storage medium for correcting a heat dissipation index, the method comprising: obtaining illumination history data of several days and first heat dissipation index data of a tower to be tested for the day; the first heat dissipation index data includes the heat dissipation index of 24 hours on the day; obtaining standardized data according to the illumination history data; calibrating all the shielding time periods of the standardized data in one day; determining the second heat dissipation index data corresponding to each shielding time period in the first heat dissipation index data, calculating the heat dissipation index mean of the first ten minutes of each shielding time period, and correcting the second heat dissipation index data according to the heat dissipation index mean. Compared with the prior art, the shielding time period in one day is determined according to the standardized data and calibrated accordingly, and according to the calibration result, the first heat dissipation index data and the second heat dissipation index data are corrected based on the heat dissipation index mean of the first ten minutes of the shielding time period, thereby eliminating the influence of the shielding of solar radiation by factors such as tower head or cloud layer on the heat dissipation index, improving the accuracy of heat dissipation index measurement, and then correcting the capacity increase margin of the transmission line, thereby effectively reducing the risk of transmission line operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Figure 1: A schematic flow chart of an embodiment of the index correction method provided by the present invention.

[0030] Figure 2 : A schematic structural diagram of an embodiment of an index correction device provided by the present invention. DETAILED DESCRIPTION

[0031] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0032] Embodiment 1:

[0033] Please refer to Figure 1 , Figure 1 A method for correcting a heat dissipation index provided by an embodiment of the present invention includes steps S1 to S4, wherein:

[0034] Step S1, obtaining historical illumination data of the tower to be tested for several days and first heat dissipation index data of the current day; wherein the first heat dissipation index data includes the heat dissipation index of 24 hours of the current day.

[0035] In this embodiment, the correction method is applied to a measuring device, wherein the measuring device includes a remote terminal unit, a light illuminance sensor, and a heat index sensor; the remote terminal unit is respectively connected to the light illuminance sensor and the heat index sensor, and is used to communicate with a control center or other remote terminals, and the connection method includes but is not limited to electrical connection or communication connection.

[0036] The heat dissipation index belongs to the prior art. The usual measurement method includes the following steps: first, measure the heat capacity C and initial temperature T of the sample to be tested; heat the sample for a certain time t, and record the temperature change ΔT; thereby, the heat value Q released within the time t can be calculated, where:

[0037] Q = C * ΔT;

[0038] Furthermore, combined with the surface area s of the sample to be tested, the heat dissipation index H can be calculated according to the following formula:

[0039] H = Q / (s * t);

[0040] Therefore, the heat dissipation index can be understood as the heat released per unit area and per unit time at temperature T of the sample to be tested.

[0041] The method of obtaining the historical illumination data of the tower to be tested for several days and the first heat dissipation index data of the day is as follows:

[0042] The heat dissipation index of the tower to be measured is measured in real time by the heat dissipation index sensor, and after measuring the first heat dissipation index data of the day, the first heat dissipation index data is sent to the remote terminal unit.

[0043] The illuminance of the tower to be measured is measured in real time by the illuminance sensor, and the illuminance of several days is used as the illuminance historical data, and the illuminance historical data is sent to the remote terminal unit.

[0044] Step S2, obtaining standardized data according to the historical illumination data.

[0045] In this embodiment, the illuminance data at each time in the thirty days before the current day is determined, and each day has 24 hours of data, such as 11:30, 11:31, 11:32... and so on.

[0046] The average illuminance at each moment of the day is calculated separately, and the average illuminance at each moment such as 11:30, 11:31, 11:32, etc. is obtained, and the average illuminance at each moment of the day is arranged into a standardized curve as standardized data. It can be understood that the method of obtaining standardized data includes but is not limited to averaging processing, and averaging processing is only used as an example of this embodiment, and the form of standardized data is not limited to standardized curves. In the implementation of the embodiment of the present application, irregular blocking factors such as clouds, flying birds, and floating objects are actually taken into account through averaging processing, eliminating the influence of these blocking factors on the measurement results.

[0047] Step S3, calibrating all the occlusion time periods of the standardized data in one day.

[0048] In this embodiment, all time intervals in which the maximum illuminance within ten minutes in the standardized curve is greater than twice the minimum illuminance are identified and calibrated as the blocked time period. By implementing the embodiment of the present application, the time intervals with and without obstructions are actually identified and calibrated, and what is reflected in the data at this time is the change in illuminance. For example, before the tower head is blocked, the illuminance R is the value of sunlight, and it is a smooth curve at this time, while when the tower head is blocked, it is a curve with a significant step-like change. Regardless of the shape and size of the tower head, and the relative position of the tower head and the measuring device, and regardless of whether it is cloud blocking or bird blocking, what is ultimately reflected is the change in illuminance data in a certain period of time (for example, ten minutes).

[0049] Step S4, determining the second heat dissipation index data corresponding to each shielding time period in the first heat dissipation index data, calculating the average heat dissipation index of the first ten minutes of each shielding time period, and correcting the second heat dissipation index data according to the average heat dissipation index.

[0050] In this embodiment, according to the calibration result of step S3, that is, each calibrated blocking time period (which may be one or more blocking time periods in a day), each corresponding second heat dissipation index data is determined from the first heat dissipation index, and the average heat dissipation index of the first ten minutes of each blocking time period is calculated.

[0051] The second heat dissipation index data is corrected according to the heat dissipation index mean, specifically: the second heat dissipation index data corresponding to the same shielding time period is corrected according to each heat dissipation index mean. By implementing the embodiment of the present application, random factors such as clouds can be filtered out, and relatively fixed factors such as tower head shielding can also be filtered out. By determining the heat dissipation index corresponding to the shielding time period and the heat dissipation index mean of the first ten minutes of the shielding time period, the heat dissipation index in the shielding time period is replaced by the mean, which has a similar effect to compensation. At this time, the state of the conductor environment is more representative and authentic, and it can avoid falsely increasing the capacity margin of the wire and avoid the risks of heating and increased sag caused by excessively increasing the transmission capacity of the wire.

[0052] As an example of this embodiment, the heat P generated by the circuit at the temperature T can be calculated according to the measured heat dissipation index H and the total area S of the conductor, where P=H*S.

[0053] Therefore, combined with the maximum current carrying capacity that the conductor of the measured line can withstand under the environment of temperature T, that is, the current value I, the resistance value R of the conductor of the measured line under the same temperature can be obtained. By correcting the heat dissipation index and improving the accuracy of the heat dissipation index, the capacity increase of the transmission line can be effectively guided and the risks in the operation of the transmission line can be reduced.

[0054] Accordingly, refer to Figure 2 The embodiment of the present invention also provides a device for correcting a heat dissipation index, including a data acquisition module 101, a standardization processing module 102, a calibration module 103 and a correction module 104; wherein,

[0055] The data acquisition module 101 is used to acquire the historical illumination data of the tower to be tested for several days and the first heat dissipation index data of the day; wherein the first heat dissipation index data includes the heat dissipation index of 24 hours of the day;

[0056] The standardization processing module 102 is used to obtain standardized data according to the illumination history data;

[0057] The calibration module 103 is used to calibrate all the occlusion time periods of the standardized data in a day;

[0058] The correction module 104 is used to determine the second heat dissipation index data corresponding to each blocking time period in the first heat dissipation index data, calculate the average heat dissipation index of the first ten minutes of each blocking time period, and correct the second heat dissipation index data according to the average heat dissipation index.

[0059] In this embodiment, the standardization processing module 102 obtains the standardized data according to the illumination history data, specifically:

[0060] The standardization processing module 102 determines the illuminance data at each moment within thirty days before the current day, calculates the average illuminance at each moment in the day, and arranges the average illuminance at each moment in the day into a standardized curve as standardized data.

[0061] In this embodiment, the calibration module 103 calibrates all the blocked time periods of the standardized data in a day. Specifically, the calibration module 103 identifies and calibrates all time intervals in the standardized curve where the maximum illuminance within ten minutes is greater than twice the minimum illuminance as blocked time periods.

[0062] In this embodiment, the correction module 104 corrects the second heat dissipation index data according to the heat dissipation index mean value. Specifically, the correction module 104 corrects the second heat dissipation index data corresponding to the same shielding time period according to each heat dissipation index mean value.

[0063] An embodiment of the present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium includes a stored computer program, wherein when the computer program is executed, the device where the computer-readable storage medium is located is controlled to execute the method for correcting the heat dissipation index.

[0064] Wherein, if the module integrated in the device for correcting the heat dissipation index 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 such an understanding, the present invention implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. Wherein, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, U disk, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electrical carrier signal, telecommunication signal and software distribution medium, etc.

[0065] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0066] The embodiment of the present invention provides a method, device and computer-readable storage medium for correcting a heat dissipation index, the method comprising: obtaining illumination history data of several days and first heat dissipation index data of a tower to be tested for the day; the first heat dissipation index data includes the heat dissipation index of 24 hours on the day; obtaining standardized data according to the illumination history data; calibrating all the shielding time periods of the standardized data in one day; determining the second heat dissipation index data corresponding to each shielding time period in the first heat dissipation index data, calculating the heat dissipation index mean of the first ten minutes of each shielding time period, and correcting the second heat dissipation index data according to the heat dissipation index mean. Compared with the prior art, the shielding time period in one day is determined according to the standardized data and calibrated accordingly, and according to the calibration result, the first heat dissipation index data and the second heat dissipation index data are corrected based on the heat dissipation index mean of the first ten minutes of the shielding time period, thereby eliminating the influence of the shielding of solar radiation by factors such as tower head or cloud layer on the heat dissipation index, improving the accuracy of heat dissipation index measurement, and then correcting the capacity increase margin of the transmission line, thereby effectively reducing the risk of transmission line operation.

[0067] The specific embodiments described above further illustrate the purpose, technical solutions and beneficial effects of the present invention. It should be understood that the above description is only a specific embodiment of the present invention and is not intended to limit the scope of protection of the present invention. It is particularly pointed out that for those skilled in the art, any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for correcting the heat dissipation index, It is characterized in that include: Obtaining historical illumination data of the tower to be tested for several days and first heat dissipation index data of the day; wherein the first heat dissipation index data includes the heat dissipation index for 24 hours of the day; According to the historical illumination data, obtaining standardized data; Calibrate all occlusion time periods of the standardized data in one day; Determine the second heat dissipation index data corresponding to each shielding time period in the first heat dissipation index data, and calculate the average heat dissipation index of the first ten minutes of each shielding time period; And according to the heat dissipation index mean, the second heat dissipation index data is corrected, specifically: according to each heat dissipation index mean, the second heat dissipation index data corresponding to the same shielding time period is corrected.

2. A method for correcting a heat dissipation index as claimed in claim 1, It is characterized in that The step of obtaining standardized data according to the historical illumination data is specifically as follows: The illuminance data at each moment within thirty days before the current day are determined, the average illuminance at each moment in the day is calculated respectively, and the average illuminance at each moment in the day is arranged into a standardized curve as the standardized data.

3. A method for correcting a heat dissipation index as claimed in claim 2, It is characterized in that The calibrating of all the blocked time periods in the standardized data in one day is specifically: identifying and calibrating all the time intervals in the standardized curve within ten minutes where the maximum illuminance is greater than twice the minimum illuminance as the blocked time periods.

4. A method for correcting a heat dissipation index according to any one of claims 1 to 3, It is characterized in that The correction method is applied to a measuring device, wherein the measuring device comprises a remote terminal unit, a light illumination sensor and a heat index sensor; the remote terminal unit is connected to the light illumination sensor and the heat index sensor respectively; The step of obtaining the historical illumination data of the tower to be tested for several days and the first heat dissipation index data of the day is specifically as follows: The heat dissipation index of the tower to be measured is measured in real time by the heat dissipation index sensor, and after measuring the first heat dissipation index data of the day, the first heat dissipation index data is sent to the remote terminal unit; The illuminance of the tower to be measured is measured in real time by the illuminance sensor, and the illuminance of several days is used as the illuminance history data, and the illuminance history data is sent to the remote terminal unit.

5. A device for correcting the heat dissipation index, It is characterized in that It includes a data acquisition module, a standardization processing module, a calibration module and a correction module; wherein, The data acquisition module is used to acquire the historical illumination data of the tower to be tested for several days and the first heat dissipation index data of the day; wherein the first heat dissipation index data includes the heat dissipation index of 24 hours of the day; The standardization processing module is used to obtain standardized data according to the historical illumination data; The calibration module is used to calibrate all the occlusion time periods of the standardized data in a day; The correction module is used to determine the second heat dissipation index data corresponding to each shielding time period in the first heat dissipation index data, and calculate the heat dissipation index average value of the first ten minutes of each shielding time period; And according to the heat dissipation index mean, the second heat dissipation index data is corrected, specifically: the correction module corrects the second heat dissipation index data corresponding to the same shielding time period according to each heat dissipation index mean.

6. A device for correcting heat dissipation index as claimed in claim 5, It is characterized in that The standardization processing module obtains standardized data according to the illumination history data, specifically: The standardization processing module determines the illuminance data at each moment within thirty days before the current day, calculates the average illuminance at each moment in the day, and arranges the average illuminance at each moment in the day into a standardized curve as standardized data.

7. A device for correcting heat dissipation index as claimed in claim 6, It is characterized in that The calibration module calibrates all the blocked time periods of the standardized data in a day, specifically: the calibration module identifies and calibrates all time intervals in the standardized curve within ten minutes where the maximum illuminance is greater than twice the minimum illuminance as the blocked time periods.

8. A computer-readable storage medium, It is characterized in that The computer-readable storage medium includes a stored computer program, wherein when the computer program is executed, the device where the computer-readable storage medium is located is controlled to execute the method for correcting the heat dissipation index according to any one of claims 1 to 3.

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