Method and device for predicting temperature trend of high voltage cable joint

Abstract

The application provides a high-voltage cable joint temperature trend prediction method and device, comprising: if it is judged that the first electric energy information is not located in the preset electric energy interval corresponding to the high-voltage cable joint, the time of obtaining the first electric energy information is taken as the first collection time; the collection time interval is obtained by calculation according to the first collection time and the preset time interval, the monitored area is continuously monitored, and the second temperature information of all second collection times located in the collection time interval is extracted; the temperature trend prediction model is calculated according to the first temperature information, the second temperature information, the first collection time, the second collection time and the current trend compensation weight, and the first temperature trend information is obtained; the preset temperature trend information is generated according to the attribute information and the rated voltage information corresponding to the high-voltage cable joint, and if the first temperature trend information is greater than or equal to the preset temperature trend information or the first temperature information is greater than or equal to the threshold temperature information, the first reminding information is output.

Description

Technical Field

[0001] This invention relates to the field of data processing technology, and in particular to a method and apparatus for predicting the temperature trend of high-voltage cable joints. Background Technology

[0002] High-voltage cable joints are components in cable lines used to connect two cable segments and improve the electric field at the ends of the cables. Long circuits necessitate connecting two or more cable segments, requiring straight-through joints. A straight-through joint is an accessory that connects two cables to form a continuous circuit; specifically, it refers to a joint where the metal outer shell of the joint is electrically continuous with the metal shield and insulation shield of the connected cables. In high-voltage lines, insulating joints are needed to achieve cross-connection and eliminate circulating currents generated by induced electromotive force in the metal sheath.

[0003] The temperature of a straight-through connector can reflect the condition of the circuit. Under normal operating conditions, a straight-through connector will have a relatively normal temperature. When operating abnormally, its temperature will not immediately reach the maximum abnormal value, but rather show a gradual upward trend. For example, in the event of a short circuit, the temperature of the straight-through connector may change from the normal 90 degrees Celsius to 250 degrees Celsius. At this point, the temperature will rise rapidly. Therefore, the temperature change trend can be used to determine if a short circuit has occurred and to take appropriate emergency actions and provide warnings.

[0004] However, in real-world applications, changes in electrical energy within the normal current range can also lead to temperature variations. Therefore, when using temperature variations to determine if a problem has occurred, it is necessary to monitor the corresponding electrical energy. Current technology cannot combine electrical energy and temperature variation trends to make a comprehensive judgment and determine if the circuit is abnormal, which in turn leads to delays in emergency response and alerts. Summary of the Invention

[0005] This invention provides a method and device for predicting the temperature trend of high-voltage cable joints. It can make a comprehensive judgment by combining the dimensions of electrical energy and temperature change trend to determine whether the line is abnormal and to promptly carry out emergency response and emergency alerts.

[0006] A first aspect of the present invention provides a method for predicting the temperature trend of a high-voltage cable joint, comprising:

[0007] Acquire the first electrical energy information of the high-voltage cable joint. If it is determined that the first electrical energy information is not located within the preset electrical energy range corresponding to the high-voltage cable joint, then the time when the first electrical energy information is acquired is taken as the first acquisition time.

[0008] The first temperature information of the monitored area of ​​the high-voltage cable joint corresponding to the first acquisition time is obtained. If the first temperature information is less than the threshold temperature information, the acquisition time period is calculated based on the first acquisition time and the preset time period. The monitored area is continuously monitored, and the second temperature information of all second acquisition times within the acquisition time period is extracted.

[0009] The current ambient temperature information of the high-voltage cable joint is obtained, and the temperature trend prediction model compares the current ambient temperature information with the preset ambient temperature information to obtain the current trend compensation weight of the high-voltage cable joint.

[0010] The temperature trend prediction model calculates the first temperature trend information based on the first temperature information, the second temperature information, the first acquisition time, the second acquisition time, and the current trend compensation weight.

[0011] Based on the attribute information and rated voltage information corresponding to the high-voltage cable joint, a preset temperature trend information is generated. If the first temperature trend information is greater than or equal to the preset temperature trend information or the first temperature information is greater than or equal to the threshold temperature information, a first reminder information is output.

[0012] If the first temperature trend information is less than the preset temperature trend information, the earliest collection time is calculated based on the current time and the preset time period. The first collection time before the earliest collection time is deleted, the second collection time corresponding to the earliest collection time is updated to the first collection time, and the current time is used as the second collection time.

[0013] Optionally, in one possible implementation of the first aspect, the step of acquiring the first temperature information of the monitored area of ​​the high-voltage cable joint corresponding to the first acquisition time, calculating the acquisition time period based on the first acquisition time and a preset time period, continuously monitoring the monitored area, and extracting the second temperature information of all second acquisition times within the acquisition time period includes:

[0014] The temperature in the monitored area of ​​the high-voltage cable joint is acquired in real time to generate a temperature time series, and the corresponding first temperature information in the temperature time series is determined based on the first acquisition time.

[0015] The monitored area is continuously monitored, and the time after the first collection time but within the collection period is taken as the second collection time, and the second temperature information at the second collection time is extracted.

[0016] Optionally, in one possible implementation of the first aspect, the step of obtaining the current ambient temperature information of the high-voltage cable joint, and the temperature trend prediction model comparing the current ambient temperature information with preset ambient temperature information to obtain the current trend compensation weight of the high-voltage cable joint, includes:

[0017] The temperature trend prediction model determines the preset trend compensation weights corresponding to the preset ambient temperature information;

[0018] The temperature trend prediction model compares the current ambient temperature information with preset ambient temperature information to obtain a temperature adjustment coefficient. Based on the temperature adjustment coefficient and the preset trend compensation weight, the current trend compensation weight is calculated using the following formula.

[0019]

[0020] Where M1 is the current trend compensation weight, T env For the current ambient temperature information, T pre To preset the ambient temperature information, G T M1 represents the normalized temperature value, and M2 represents the preset trend compensation weight.

[0021] Optionally, in one possible implementation of the first aspect, the temperature trend prediction model calculates first temperature trend information based on the first temperature information, the second temperature information, the first acquisition time, the second acquisition time, and the current trend compensation weight, including:

[0022] The temperature trend prediction model calculates based on the first temperature information, the second temperature information, the first acquisition time, and the second acquisition time to obtain the preliminary temperature trend from the first acquisition time to the second acquisition time.

[0023] The initial temperature trend is weighted by the current trend compensation weight to obtain first temperature trend information, which is then calculated using the following formula.

[0024]

[0025] Where L1 represents the first temperature trend information, T1 represents the first temperature information, and T represents the second temperature trend information. α This is to collect the αth second temperature information within the time period.

[0026] Optionally, in one possible implementation of the first aspect, it also includes:

[0027] The high-voltage cable connector includes a crimped connecting tube and a shield. The crimped connecting tube covers the cable body, and the shield wraps around the outside of the crimped connecting tube.

[0028] The monitored area is the outer surface of the crimped connector. The temperature of the outer surface of the crimped connector is monitored by a temperature sensor to obtain first temperature information and / or second temperature information.

[0029] Optionally, in one possible implementation of the first aspect, the step of generating preset temperature trend information based on the attribute information and rated voltage information corresponding to the high-voltage cable joint, and outputting a first reminder message if the first temperature trend information is greater than or equal to the preset temperature trend information, includes:

[0030] Obtain the first tube thickness information of the crimped connecting pipe of the high-voltage cable joint;

[0031] The influence coefficient of pipe thickness information is obtained by calculating based on the first pipe thickness information and the standard pipe thickness information.

[0032] The preset temperature trend information is obtained by calculating based on the influence coefficient of the tube thickness information, the standard temperature trend information, and the rated voltage information.

[0033] Optionally, in one possible implementation of the first aspect, the step of calculating the preset temperature trend information based on the tube thickness information influence coefficient, standard temperature trend information, and rated voltage information includes:

[0034] Obtain the energy influence coefficient corresponding to the rated voltage information, where each rated voltage information has a preset influence coefficient that corresponds to it in advance;

[0035] The preset temperature trend information is calculated based on the influence coefficient of the tube thickness information, the preset influence coefficient, and the standard temperature trend information. The preset temperature trend information is then calculated using the following formula.

[0036] L2=[1(x1-x2)·F x +z]·L3

[0037] Where L2 represents the preset temperature trend information, x1 represents the thickness information of the first tube body, x2 represents the thickness information of the standard tube body, and F... x The weighting value for the influence of the pipe body is given, where is the electrical energy influence coefficient, L3 represents the standard temperature trend information, and (x1-x2)·F x This is the influence coefficient of the tube thickness information.

[0038] Optionally, in one possible implementation of the first aspect, if the first temperature trend information is less than the preset temperature trend information, then calculating the earliest acquisition time based on the current time and the preset time period, deleting the first acquisition time before the earliest acquisition time, updating the second acquisition time corresponding to the earliest acquisition time to the first acquisition time, and using the current time as the second acquisition time, includes:

[0039] If the first temperature trend information is less than the preset temperature trend information and the first temperature information is less than the threshold temperature information, then the length of the current collection time period between the current time and the first collection time is obtained.

[0040] If the length of the current collection time is greater than the length of the preset time period, the earliest collection time is calculated based on the current time and the preset time period. The first collection time before the earliest collection time is deleted, and the second collection time corresponding to the earliest collection time is updated to the first collection time. The first collection time is continuously updated.

[0041] The current time is used as the second acquisition time, and the second acquisition time is continuously updated.

[0042] Optionally, in one possible implementation of the first aspect, it also includes:

[0043] If the first temperature trend information is determined to be less than 0, the first electrical energy information is located within the preset electrical energy range corresponding to the high-voltage cable joint.

[0044] Then stop monitoring the temperature of the monitored area.

[0045] A second aspect of the present invention provides a high-voltage cable joint temperature trend prediction device, comprising:

[0046] The acquisition module is used to acquire the first electrical energy information of the high-voltage cable joint. If it is determined that the first electrical energy information is not located within the preset electrical energy range corresponding to the high-voltage cable joint, the time when the first electrical energy information is acquired is taken as the first acquisition time.

[0047] The extraction module is used to obtain the first temperature information of the monitored area of ​​the high-voltage cable joint corresponding to the first acquisition time. If the first temperature information is less than the threshold temperature information, the acquisition time period is calculated according to the first acquisition time and the preset time period. The monitored area is continuously monitored, and the second temperature information of all second acquisition times within the acquisition time period is extracted.

[0048] The comparison module is used to obtain the current ambient temperature information of the high-voltage cable joint. The temperature trend prediction model compares the current ambient temperature information with the preset ambient temperature information to obtain the current trend compensation weight of the high-voltage cable joint.

[0049] The calculation module is used by the temperature trend prediction model to calculate the first temperature trend information based on the first temperature information, the second temperature information, the first acquisition time, the second acquisition time, and the current trend compensation weight.

[0050] The output module is used to generate preset temperature trend information based on the attribute information and rated voltage information corresponding to the high-voltage cable joint. If the first temperature trend information is greater than or equal to the preset temperature trend information or the first temperature information is greater than or equal to the threshold temperature information, then the first reminder information is output.

[0051] The update module is used to calculate the earliest acquisition time based on the current time and the preset time period if the first temperature trend information is less than the preset temperature trend information, delete the first acquisition time before the earliest acquisition time, update the second acquisition time corresponding to the earliest acquisition time to the first acquisition time, and use the current time as the second acquisition time.

[0052] Beneficial effects:

[0053] 1. This solution will continuously monitor the temperature change trend over a period of time when abnormal power information occurs, and determine whether the temperature change trend is normal. By combining the power dimension and the temperature change trend dimension, a comprehensive judgment can be made to determine whether the line is abnormal, and timely emergency response and emergency alerts can be carried out.

[0054] 2. This solution calculates temperature change trends by combining temperature time series data to obtain initial data for a given time period. It also incorporates the ambient temperature of the high-voltage cable joint as a compensation weight to adjust the initial data, resulting in a more accurate temperature change trend. Furthermore, this solution calculates a preset temperature trend that matches the current high-voltage cable joint by considering information such as the pipe thickness and rated voltage. Finally, the two are compared to obtain the comparison result. This solution considers multiple factors for comprehensive calculation and adjustment when calculating both the temperature change trend and the preset temperature trend, ensuring accuracy in both, thus enabling a more precise determination of whether the line is abnormal.

[0055] 3. When the first temperature trend information is less than the preset temperature trend information and the first temperature information is less than the threshold temperature information, this solution will continuously update the first and second acquisition times, thereby continuously monitoring the temperature change trend over a fixed period of time. In addition, when the first temperature trend information is less than 0 and the first power information is within the preset power range corresponding to the high-voltage cable joint, it indicates that the temperature and power have returned to normal, and temperature monitoring will stop. This solution can achieve fully automatic monitoring through the above methods, and provide timely emergency response and emergency alerts. Attached Figure Description

[0056] Figure 1 This is a schematic diagram of a scenario provided by an embodiment of the present invention;

[0057] Figure 2 This is a flowchart illustrating a method for predicting the temperature trend of a high-voltage cable joint according to an embodiment of the present invention.

[0058] Figure 3 This is a schematic diagram of the structure of a high-voltage cable joint temperature trend prediction device provided in an embodiment of the present invention.

[0059] In the diagram, 1 is a crimp-fit ​​connector; 2 is a shielding cover. Detailed Implementation

[0060] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0061] See Figure 1 This is a schematic diagram of a scenario provided by an embodiment of the present invention. The high-voltage cable connector includes a crimped connecting pipe 1 and a shield 2. The crimped connecting pipe 1 covers the cable body, and the shield 2 is wrapped around the outside of the crimped connecting pipe 1. In this solution, the outer surface of the crimped connecting pipe 1 is used as the monitored area. The temperature of the outer surface of the crimped connecting pipe 1 is monitored by a temperature sensor to obtain first temperature information and / or second temperature information.

[0062] See Figure 2 This is a flowchart illustrating a method for predicting the temperature trend of a high-voltage cable joint according to an embodiment of the present invention. The method includes steps S1-S6:

[0063] S1, acquire the first electrical energy information of the high-voltage cable joint. If it is determined that the first electrical energy information is not located within the preset electrical energy range corresponding to the high-voltage cable joint, then the time when the first electrical energy information is acquired is taken as the first acquisition time.

[0064] This solution obtains the first electrical energy information of the high-voltage cable joint in real time and judges it. When the first electrical energy information is not within the preset electrical energy range corresponding to the high-voltage cable joint, it indicates that the electrical energy information may be abnormal. For example, when the line is short-circuited, the electrical energy will be abnormal and not within the preset electrical energy range; or, when the line's electrical energy fluctuates, the electrical energy will also change and not be within the preset electrical energy range, but this is usually temporary and will recover quickly. For both of these situations, this solution uses the moment when the first electrical energy information is obtained as the first acquisition moment to start temperature acquisition. In the case of a short circuit, the temperature will rise rapidly and continuously, for example, from 90℃ to 250℃ within 3 seconds. In the case of fluctuations, the temperature will not rise rapidly and continuously, for example, from 90℃ to 120℃ within 3 seconds. This solution will judge the actual situation by obtaining the temperature change trend in the following ways.

[0065] The first electrical energy information can be voltage information, and the preset electrical energy range can be a preset voltage range. It is understood that different high-voltage cable joints correspond to different preset electrical energy ranges, and this solution will pre-determine the preset electrical energy range corresponding to each high-voltage cable joint.

[0066] S2, acquire the first temperature information of the monitored area of ​​the high-voltage cable joint corresponding to the first acquisition time. If the first temperature information is less than the threshold temperature information, calculate the acquisition time period based on the first acquisition time and the preset time period, continuously monitor the monitored area, and extract the second temperature information of all second acquisition times within the acquisition time period.

[0067] First, this solution obtains the first temperature information of the monitored area of ​​the high-voltage cable joint corresponding to the first acquisition time. If the first temperature information is less than the threshold temperature information, it means that the temperature at the first acquisition time is still within the normal range. This solution calculates the acquisition time period based on the first acquisition time and the preset time period, and continuously monitors the monitored area. At the same time, this solution extracts the second temperature information of all second acquisition times within the acquisition time period.

[0068] In some embodiments, S2 (acquiring the first temperature information of the monitored area of ​​the high-voltage cable joint corresponding to the first acquisition time, calculating the acquisition time period based on the first acquisition time and a preset time period, continuously monitoring the monitored area, and extracting the second temperature information of all second acquisition times within the acquisition time period) includes S21-S22:

[0069] S21, real-time acquisition of temperature within the monitored area of ​​the high-voltage cable joint generates a temperature time series, and the corresponding first temperature information in the temperature time series is determined based on the first acquisition time.

[0070] Understandably, this solution will obtain the temperature time series of the monitored area of ​​the high-voltage cable joint in real time. The temperature time series refers to temperature data with time information, for example, the temperature in the 1st second is 90℃, and the temperature in the 2nd second is 100℃. Subsequently, this solution will determine the corresponding first temperature information in the temperature time series based on the first acquisition time.

[0071] For example, if the first acquisition time is 1 second and the preset time period is 3 seconds, then the acquisition time period is 1 second to 4 seconds, and the temperature at 1 second is the first temperature information at the first acquisition time.

[0072] S22, continuously monitor the monitored area, and take the time after the first collection time but within the collection time period as the second collection time, and extract the second temperature information at the second collection time.

[0073] For example, if the first acquisition time is 1 second and the preset time period is 3 seconds, then the acquisition time period is 1 second to 4 seconds. The temperature at 1 second is the first temperature information at the first acquisition time, and the temperatures at 2 second, 3 second, and 4 second are the second temperature information at the second acquisition time.

[0074] This solution uses the above method to obtain temperature information changes over a period of time, and the temperature change trend can be obtained from these changes.

[0075] S3, obtain the current ambient temperature information of the high-voltage cable joint, and the temperature trend prediction model compares the current ambient temperature information with the preset ambient temperature information to obtain the current trend compensation weight of the high-voltage cable joint.

[0076] Understandably, this solution takes into account the different environments in which high-voltage cable joints are located, resulting in varying ambient temperatures. Ambient temperature affects the heat dissipation of high-voltage cable joints; therefore, this solution incorporates the current ambient temperature information. For example, in colder northern environments, such as -20℃, the high-voltage cable joint dissipates heat more quickly; conversely, in warmer southern environments, such as 20℃, the heat dissipation is slower. This solution compares the current ambient temperature information with preset ambient temperature information to determine the current trend compensation weight for the high-voltage cable joint.

[0077] In some embodiments, S3 (obtaining the current ambient temperature information of the high-voltage cable joint, and the temperature trend prediction model comparing the current ambient temperature information with preset ambient temperature information to obtain the current trend compensation weight of the high-voltage cable joint) includes S31-S32:

[0078] S31, the temperature trend prediction model determines the preset trend compensation weight corresponding to the preset ambient temperature information.

[0079] The temperature trend prediction model in this solution will determine the preset trend compensation weights corresponding to the preset ambient temperature information.

[0080] S32, the temperature trend prediction model compares the current ambient temperature information with preset ambient temperature information to obtain a temperature adjustment coefficient. Based on the temperature adjustment coefficient and the preset trend compensation weight, it calculates the current trend compensation weight using the following formula.

[0081]

[0082] Where M1 is the current trend compensation weight, T env For the current ambient temperature information, T preTo preset the ambient temperature information, G T M1 represents the normalized temperature value, and M2 represents the preset trend compensation weight.

[0083] In the above formula, T env -T pre This represents the difference between the current ambient temperature and the preset ambient temperature. Represents the temperature adjustment coefficient, when the current ambient temperature information T env With preset ambient temperature information T pre When they are equal, the current trend compensation weight M1 is equal to the preset trend compensation weight M2; when the current ambient temperature information T env For smaller sizes, T env -T pre The smaller the value of T, the smaller the current trend compensation weight M1 will be; when the current ambient temperature information T... env When T is larger, env -T pre The larger the value, the larger the current trend compensation weight M1 will be.

[0084] S4, the temperature trend prediction model calculates the first temperature trend information based on the first temperature information, the second temperature information, the first acquisition time, the second acquisition time, and the current trend compensation weight.

[0085] After obtaining the first temperature information, the second temperature information, the first acquisition time, the second acquisition time, and the current trend compensation weight, this scheme will perform a comprehensive calculation on the first temperature information, the second temperature information, the first acquisition time, the second acquisition time, and the current trend compensation weight to obtain the first temperature trend information.

[0086] In some embodiments, S4 (the temperature trend prediction model calculates the first temperature trend information based on the first temperature information, the second temperature information, the first acquisition time, the second acquisition time, and the current trend compensation weight) includes S41-S42:

[0087] S41, the temperature trend prediction model calculates based on the first temperature information, the second temperature information, the first acquisition time, and the second acquisition time to obtain the preliminary temperature trend from the first acquisition time to the second acquisition time.

[0088] The temperature trend prediction model of this scheme first calculates the first temperature information, the second temperature information, the first acquisition time, and the second acquisition time to obtain the preliminary temperature trend from the first acquisition time to the second acquisition time.

[0089] For example, the first acquisition time of this scheme is the 1st second, the first temperature information is 90℃, the second acquisition time is the 2nd second, the 3rd second, and the 4th second, the second temperature information in the 4th second is 180℃, then the preliminary temperature trend from the 1st second to the 4th second is 90℃.

[0090] S42, the preliminary temperature trend is weighted using the current trend compensation weight to obtain first temperature trend information, which is then calculated using the following formula.

[0091]

[0092] Where L1 represents the first temperature trend information, T1 represents the first temperature information, and T represents the second temperature trend information. α This is to collect the αth second temperature information within the time period.

[0093] In the above formula, (T) α -T1) represents the initial temperature trend. The current trend compensation weight represents the current trend compensation weight. The larger the current trend compensation weight, the larger the corresponding initial temperature trend L1. The smaller the current trend compensation weight, the smaller the corresponding initial temperature trend L1. This scheme combines the current trend compensation weight with the initial temperature trend offset to obtain a more accurate initial temperature trend L1.

[0094] It should be noted that T α To collect the αth second temperature information within a time period, for example, the first collection time of this scheme is the 1st second, the first temperature information is 90℃, the second collection times are the 2nd second, the 3rd second, and the 4th second, the second temperature information of the 2nd second is 100℃, the second temperature information of the 3rd second is 110℃, and the second temperature information of the 4th second is 150℃. Then the preliminary temperature trend from the 1st second to the 2nd second is 10℃, the preliminary temperature trend from the 1st second to the 3rd second is 20℃, and the preliminary temperature trend from the 1st second to the 4th second is 60℃.

[0095] S5. Generate preset temperature trend information based on the attribute information and rated voltage information corresponding to the high-voltage cable joint. If the first temperature trend information is greater than or equal to the preset temperature trend information or the first temperature information is greater than or equal to the threshold temperature information, then output the first reminder information.

[0096] It is understandable that different properties of high-voltage cable joints will result in different preset temperature trend information; similarly, different rated voltages of high-voltage cable joints will also result in different preset temperature trend information. This solution will obtain the property information and rated voltage information corresponding to the high-voltage cable joints, and then generate preset temperature trend information based on these information.

[0097] If the first temperature trend information is greater than or equal to the preset temperature trend information or the first temperature information is greater than or equal to the threshold temperature information, it indicates that the current temperature is abnormal. This solution will output the first reminder information to promptly alert the supervisors.

[0098] In some embodiments, S5 (generating preset temperature trend information based on the attribute information and rated voltage information corresponding to the high-voltage cable connector, and outputting a first reminder message if the first temperature trend information is greater than or equal to the preset temperature trend information) includes S51-S53:

[0099] S51, Obtain the first tube thickness information of the crimped connecting pipe of the high-voltage cable joint.

[0100] It is understandable that since the heat is generated by the cable and conducted from the inner wall of the crimped connecting pipe 1 to the outer wall of the crimped connecting pipe 1, and read by the temperature sensor, the thickness of the crimped connecting pipe 1 will affect the heat conduction of the cable. The thicker the pipe, the weaker the corresponding temperature conduction. Therefore, this solution will obtain the first tube body thickness information of the crimped connecting pipe 1 as an influencing factor in the relevant calculations.

[0101] S52, calculate the influence coefficient of pipe thickness information based on the first pipe thickness information and the standard pipe thickness information.

[0102] This solution calculates the thickness information of the first tube and the standard tube to obtain the influence coefficient of the tube thickness information. It can be understood that the thicker the first tube is, the weaker the heat conduction, and the greater the influence coefficient of the tube thickness information.

[0103] S53, calculate the preset temperature trend information based on the influence coefficient of the tube thickness information, the standard temperature trend information, and the rated voltage information.

[0104] After obtaining the influence coefficient of the pipe thickness information, this scheme will combine the standard temperature trend information and the rated voltage information to calculate the preset temperature trend information. It can be understood that the rated voltage information corresponds to the standard temperature trend information; for example, at 110KV, there is one standard temperature trend information, and at 220KV, there is another.

[0105] In some embodiments, S53 (calculating the preset temperature trend information based on the tube thickness information influence coefficient, the cover thickness influence coefficient, the standard temperature trend information, and the rated voltage information) includes S531-S532:

[0106] S531, obtain the energy influence coefficient corresponding to the rated voltage information, each rated voltage information has a preset influence coefficient that corresponds to it.

[0107] First, this solution will obtain the energy influence coefficient corresponding to the rated voltage information. Each rated voltage information has a preset influence coefficient that corresponds to it. The preset influence coefficient can be preset by the staff.

[0108] S532, based on the influence coefficient of the pipe thickness information, the preset influence coefficient, and the standard temperature trend information, the preset temperature trend information is calculated using the following formula.

[0109] L2 = [1 (x1-x2)·F] x +z]·L3

[0110] Where L2 represents the preset temperature trend information, x1 represents the thickness information of the first tube body, x2 represents the thickness information of the standard tube body, and F... x The weighting value for the influence of the pipe body is given, where is the electrical energy influence coefficient, L3 represents the standard temperature trend information, and (x1-x2)·F x This is the influence coefficient of the tube thickness information.

[0111] In the above formula, (x1-x2)·F x The influence coefficient of the pipe thickness information is: the larger the first pipe thickness information x1 is, the larger the corresponding influence coefficient of the pipe thickness information is. The resulting comprehensive influence coefficient is [1-(x1-x2)·F]. x The smaller the +z] value, the smaller the standard temperature trend information L3 will be, resulting in a smaller adjustment to obtain the preset temperature trend information L2 that conforms to the current high-voltage cable joint.

[0112] This solution uses the above method, combined with dimensions such as pipe thickness, to comprehensively calculate the preset temperature trend information L2 for the corresponding high-voltage cable joint.

[0113] S6, if the first temperature trend information is less than the preset temperature trend information, the earliest acquisition time is calculated based on the current time and the preset time period, the first acquisition time before the earliest acquisition time is deleted, the second acquisition time corresponding to the earliest acquisition time is updated to the first acquisition time, and the current time is used as the second acquisition time.

[0114] Understandably, if the initial temperature trend information is less than the preset temperature trend information, this solution will calculate the earliest acquisition time based on the current time and the preset time period, delete the first acquisition time before the earliest acquisition time, update the second acquisition time corresponding to the earliest acquisition time to the first acquisition time, and use the current time as the second acquisition time. Through this method, continuous temperature detection can be achieved.

[0115] In some embodiments, S6 (if the first temperature trend information is less than the preset temperature trend information, the earliest acquisition time is calculated based on the current time and the preset time period, the first acquisition time before the earliest acquisition time is deleted, the second acquisition time corresponding to the earliest acquisition time is updated to the first acquisition time, and the current time is used as the second acquisition time) includes S61-S63:

[0116] S61, if the first temperature trend information is less than the preset temperature trend information and the first temperature information is less than the threshold temperature information, then obtain the length of the current collection time period between the current time and the first collection time.

[0117] If the first temperature trend information is less than the preset temperature trend information and the first temperature information is less than the threshold temperature information, it means that the temperature in the current time period is in a normal state. This solution will obtain the length of the current collection time period between the current time and the first collection time.

[0118] For example, if the first acquisition time is the 1st second and the preset time period is 3 seconds, then the acquisition time period is from the 1st second to the 4th second, where the 1st second is the first acquisition time, and the 2nd second, the 3rd second, and the 4th second are the second acquisition times.

[0119] For example, if the current time is the 5th second, the length of the current acquisition time period between the current time (the 5th second) and the first acquisition time (the 1st second) is 4 seconds.

[0120] S62, if the length of the current collection time is greater than the length of the preset time period, the earliest collection time is calculated based on the current time and the preset time period, the first collection time before the earliest collection time is deleted, the second collection time corresponding to the earliest collection time is updated to the first collection time, and the first collection time is continuously updated.

[0121] For example, if the preset time period is 3 seconds and the current collection time is 4 seconds, and the current collection time is longer than the preset time period, this solution will calculate the earliest collection time (2nd second) based on the current time (5th second) and the preset time period (3 seconds). Then, it will delete the first collection time (1st second) before the earliest collection time (2nd second) and update the second collection time (2nd second) corresponding to the earliest collection time (2nd second) to the first collection time, and continuously update the first collection time.

[0122] S63 uses the current time as the second acquisition time and continuously updates the second acquisition time.

[0123] For example, this scheme updates the original time period from the 1st to the 4th second to the 2nd to the 5th second. It can be understood that this scheme, through the above method, can continuously update the first and second acquisition times, thereby continuously monitoring the temperature change trend over a fixed time period.

[0124] Based on the above embodiments, it also includes:

[0125] If the first temperature trend information is determined to be less than 0, and the first electrical energy information is located within the preset electrical energy range corresponding to the high-voltage cable joint, then the temperature monitoring of the monitored area will be stopped.

[0126] Understandably, when the first temperature trend information is less than 0, it indicates that the temperature is decreasing. When the first electrical energy information is within the preset electrical energy range corresponding to the high-voltage cable joint, it indicates that the line initially fluctuated. After a period of time, the fluctuation stopped and returned to normal. At this time, this solution will stop monitoring the temperature of the monitored area.

[0127] See Figure 3 This is a schematic diagram of a high-voltage cable joint temperature trend prediction device provided in an embodiment of the present invention. The high-voltage cable joint temperature trend prediction device includes:

[0128] The acquisition module is used to acquire the first electrical energy information of the high-voltage cable joint. If it is determined that the first electrical energy information is not located within the preset electrical energy range corresponding to the high-voltage cable joint, the time when the first electrical energy information is acquired is taken as the first acquisition time.

[0129] The extraction module is used to obtain the first temperature information of the monitored area of ​​the high-voltage cable joint corresponding to the first acquisition time. If the first temperature information is less than the threshold temperature information, the acquisition time period is calculated according to the first acquisition time and the preset time period. The monitored area is continuously monitored, and the second temperature information of all second acquisition times within the acquisition time period is extracted.

[0130] The comparison module is used to obtain the current ambient temperature information of the high-voltage cable joint. The temperature trend prediction model compares the current ambient temperature information with the preset ambient temperature information to obtain the current trend compensation weight of the high-voltage cable joint.

[0131] The calculation module is used by the temperature trend prediction model to calculate the first temperature trend information based on the first temperature information, the second temperature information, the first acquisition time, the second acquisition time, and the current trend compensation weight.

[0132] The output module is used to generate preset temperature trend information based on the attribute information and rated voltage information corresponding to the high-voltage cable joint. If the first temperature trend information is greater than or equal to the preset temperature trend information or the first temperature information is greater than or equal to the threshold temperature information, then the first reminder information is output.

[0133] The update module is used to calculate the earliest acquisition time based on the current time and the preset time period if the first temperature trend information is less than the preset temperature trend information, delete the first acquisition time before the earliest acquisition time, update the second acquisition time corresponding to the earliest acquisition time to the first acquisition time, and use the current time as the second acquisition time.

[0134] The present invention also provides a storage medium storing a computer program, which, when executed by a processor, is used to implement the methods provided in the various embodiments described above.

[0135] The storage medium can be a computer storage medium or a communication medium. A communication medium includes any medium that facilitates the transfer of computer programs from one location to another. A computer storage medium can be any available medium accessible to a general-purpose or special-purpose computer. For example, the storage medium is coupled to a processor, enabling the processor to read information from and write information to the storage medium. Alternatively, the storage medium can be a component of the processor. The processor and storage medium can reside in an Application Specific Integrated Circuit (ASIC). This ASIC can also be located within a user device. Alternatively, the processor and storage medium can exist as discrete components in a communication device. Storage media can be read-only memory (ROM), random access memory (RAM), CD-ROM, magnetic tape, floppy disk, and optical data storage devices, etc.

[0136] The present invention also provides a program product including execution instructions stored in a storage medium. At least one processor of the device can read the execution instructions from the storage medium, and the execution instructions by the at least one processor cause the device to implement the methods provided in the various embodiments described above.

[0137] In the above-described terminal or server embodiments, it should be understood that the processor can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), etc. The general-purpose processor can be a microprocessor or any conventional processor. The steps of the method disclosed in this invention can be directly manifested as execution by a hardware processor, or execution by a combination of hardware and software modules within the processor.

[0138] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features therein. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for high voltage cable joint temperature trend prediction, characterized by, The method comprises the following steps: acquiring first electrical energy information of the high-voltage cable joint, and if the first electrical energy information is not located in a preset electrical energy interval corresponding to the high-voltage cable joint, taking a time when the first electrical energy information is acquired as a first collection time; acquiring first temperature information of a monitored area of the high-voltage cable joint corresponding to the first collection time, and if the first temperature information is less than threshold temperature information, calculating a collection time interval according to the first collection time and a preset time interval, continuously monitoring the monitored area, and extracting second temperature information of all second collection times located in the collection time interval; acquiring current environmental temperature information of the high-voltage cable joint, and a temperature trend prediction model compares the current environmental temperature information with preset environmental temperature information to obtain a current trend compensation weight of the high-voltage cable joint, comprising: the temperature trend prediction model determines a preset trend compensation weight corresponding to the preset environmental temperature information; the temperature trend prediction model compares the current environmental temperature information with the preset environmental temperature information to obtain a temperature adjustment coefficient, and calculates the current trend compensation weight according to the temperature adjustment coefficient and the preset trend compensation weight; the temperature trend prediction model calculates first temperature trend information according to the first temperature information, the second temperature information, the first collection time, the second collection time, and the current trend compensation weight, comprising: the temperature trend prediction model calculates a preliminary temperature trend from the first collection time to the second collection time according to the first temperature information, the second temperature information, the first collection time, and the second collection time; the preliminary temperature trend is weighted by the current trend compensation weight to obtain the first temperature trend information; generating preset temperature trend information according to attribute information and rated voltage information corresponding to the high-voltage cable joint, and if the first temperature trend information is greater than or equal to the preset temperature trend information or the first temperature information is greater than or equal to the threshold temperature information, outputting first reminder information; if the first temperature trend information is less than the preset temperature trend information, calculating a first collection time according to a current time and a preset time interval, deleting the first collection time before the first collection time, updating the second collection time corresponding to the first collection time to the first collection time, and taking the current time as the second collection time.

2. The high-voltage cable joint temperature trend prediction method according to claim 1, wherein the first temperature information of the monitored area of the high-voltage cable joint corresponding to the first collection time is calculated according to the first collection time and the preset time interval, the monitored area is continuously monitored, and the second temperature information of all second collection times located in the collection time interval is extracted, comprising: real-time acquisition of temperature in the monitored area of the high-voltage cable joint generates a temperature time sequence, and the first temperature information corresponding to the temperature time sequence is determined according to the first collection time; continuously monitoring the monitored area, taking a time located after the first collection time and within the collection time interval as the second collection time, and extracting the second temperature information of the second collection time. ​ 3. The high-voltage cable joint temperature trend prediction method according to claim 1, wherein the obtaining of the current ambient temperature information of the high-voltage cable joint, and the comparison of the current ambient temperature information with preset ambient temperature information by the temperature trend prediction model to obtain a current trend compensation weight of the high-voltage cable joint, comprises: calculating the current trend compensation weight by the following formula, 4. The high-voltage cable joint temperature trend prediction method according to claim 3, wherein the calculation of the first temperature trend information by the temperature trend prediction model according to the first temperature information, the second temperature information, the first collection time, the second collection time, and the current trend compensation weight comprises: Wherein, M1 is a current trend compensation weight, T env is current ambient temperature information, T pre is preset ambient temperature information, G T is a temperature normalization value, and M2 is a preset trend compensation weight. calculating the first temperature trend information by the following formula, and further comprising: the high-voltage cable joint comprises a crimping type connecting pipe and a shielding cover, the crimping type connecting pipe covers a cable body, and the shielding cover is wrapped outside the crimping type connecting pipe; Wherein, L1 is the first temperature trend information, T1 is the first temperature information, T α is the αth second temperature information in the collection time period.

5. The high voltage cable joint temperature trend prediction method of claim 4, wherein, the monitored area is an outer surface of the crimping type connecting pipe, and the first temperature information and / or the second temperature information are obtained by monitoring the temperature of the outer surface of the crimping type connecting pipe by a temperature sensor.

6. The high-voltage cable joint temperature trend prediction method according to claim 5, wherein the generation of preset temperature trend information according to attribute information and rated voltage information corresponding to the high-voltage cable joint, and the output of first reminding information if the first temperature trend information is greater than or equal to the preset temperature trend information comprise: obtaining first pipe body thickness information of the crimping type connecting pipe of the high-voltage cable joint; calculating a pipe body thickness information influence coefficient according to the first pipe body thickness information and standard pipe body thickness information; calculating the preset temperature trend information according to the pipe body thickness information influence coefficient, standard temperature trend information, and rated voltage information.

7. The high-voltage cable joint temperature trend prediction method according to claim 6, wherein the calculation of the preset temperature trend information according to the pipe body thickness information influence coefficient, standard temperature trend information, and rated voltage information comprises: obtaining an electric energy influence coefficient corresponding to the rated voltage information, each rated voltage information having a preset influence coefficient pre-correspondingly set thereto; calculating the preset temperature trend information according to the pipe body thickness information influence coefficient, the preset influence coefficient, and the standard temperature trend information, the preset temperature trend information being calculated by the following formula, 8. The high-voltage cable joint temperature trend prediction method according to claim 6, wherein if the first temperature trend information is less than the preset temperature trend information, the calculation of a first collection time according to a current time and a preset time period, the deletion of the first collection time before the first collection time, the updating of a second collection time corresponding to the first collection time as the first collection time, and the taking of the current time as the second collection time comprises: if the first temperature trend information is less than the preset temperature trend information and the first temperature information is less than threshold temperature information, obtaining a length of a current collection time period between the current time and the first collection time. ​ ​ L2 = [1 - (x1 - x2) · F x + z] · L3 Wherein, L2 is preset temperature trend information, x1 is first pipe body thickness information, x2 is standard pipe body thickness information, F x is pipe body influence weight value, z is electric energy influence coefficient, L3 is standard temperature trend information, (x1-x2)·F x is pipe body thickness information influence coefficient. ​ ​ ​ If the length of the current collection time is greater than the length of the preset time period, the first collection time before the earliest collection time is deleted, the second collection time corresponding to the earliest collection time is updated to the first collection time, and the first collection time is continuously updated according to the current time and the preset time period. The current time is taken as the second collection time, and the second collection time is continuously updated.

9. The high voltage cable joint temperature trend prediction method of claim 8, wherein, Further comprising: If the first temperature trend information is less than 0 and the first electric energy information is located in the preset electric energy interval corresponding to the high-voltage cable joint, then the temperature monitoring of the monitored area is stopped.

10. A high voltage cable joint temperature trend prediction apparatus, characterized by, Comprising: The acquisition module is configured to acquire first electric energy information of the high-voltage cable joint, and if it is determined that the first electric energy information is not located in the preset electric energy interval corresponding to the high-voltage cable joint, the time when the first electric energy information is acquired is taken as the first collection time. The extraction module is configured to acquire first temperature information of a monitored area of the high-voltage cable joint corresponding to the first collection time, and if the first temperature information is less than the threshold temperature information, a collection time period is calculated according to the first collection time and the preset time period, the monitored area is continuously monitored, and second temperature information of all second collection times located in the collection time period is extracted. The comparison module is configured to acquire current environmental temperature information of the high-voltage cable joint, and a temperature trend prediction model compares the current environmental temperature information with preset environmental temperature information to obtain a current trend compensation weight of the high-voltage cable joint, comprising: The temperature trend prediction model determines a preset trend compensation weight corresponding to the preset environmental temperature information. The temperature trend prediction model compares the current environmental temperature information with the preset environmental temperature information to obtain a temperature adjustment coefficient, and calculates the current trend compensation weight according to the temperature adjustment coefficient and the preset trend compensation weight. The calculation module is configured to calculate, by the temperature trend prediction model, the first temperature trend information according to the first temperature information, the second temperature information, the first collection time, the second collection time, and the current trend compensation weight, comprising: The temperature trend prediction model calculates the first collection time to the second collection time to obtain a preliminary temperature trend according to the first temperature information, the second temperature information, the first collection time, and the second collection time. The preliminary temperature trend is weighted by the current trend compensation weight to obtain the first temperature trend information. The output module is configured to generate preset temperature trend information according to attribute information and rated voltage information corresponding to the high-voltage cable joint, and if the first temperature trend information is greater than or equal to the preset temperature trend information or the first temperature trend information is greater than or equal to the threshold temperature information, first reminder information is output. The update module is configured to calculate the earliest collection time according to the current time and the preset time period if the first temperature trend information is less than the preset temperature trend information, delete the first collection time before the earliest collection time, update the second collection time corresponding to the earliest collection time to the first collection time, and take the current time as the second collection time.

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