Line loss judgment method, device, equipment, storage medium and program product

Abstract

The present application relates to a method, device, equipment, storage medium and program product for line loss judgment. The method includes: obtaining theoretical line loss tables for multiple historical time periods of a power supply line, obtaining the difference between the number of metering devices in the current time period of the power supply line and the number of metering devices in each historical time period, comparing the difference with a preset threshold, and judging whether the actual line loss in the current time period is normal according to the comparison result and the theoretical line loss and line loss dates in each historical time period. In the method of the present application, by comparing the number of metering devices in the current time period of the power supply line with that in multiple historical time periods, and according to the difference between different numbers of metering devices, further judge whether the actual line loss is normal, fully considering the loss of the metering device itself and the misjudgment of the line loss value caused by the difference in the number of metering devices, making the line loss judgment method more accurate, and the method for obtaining the number of metering devices is simple and highly operable.

Description

Technical Field

[0001] The present application relates to the technical field of power systems, and particularly to a line loss judgment method, device, equipment, storage medium, and program product. Background Art

[0002] The line loss management of lines is a key task for power enterprises. Currently, the line loss judgment standard for lines is that a line loss rate between -2% and 5% is regarded as normal, otherwise it is abnormal. There may be a situation where the inherent line loss rate of a line is 0.1%, and there are already problems such as electricity theft, metering device failures, and incorrect archive data on the line. However, at this time, the obtained line loss rate is still 4%, which is within the judgment condition of -2% to 5% and is regarded as normal, resulting in an overly long abnormal duration and bringing great inconvenience and workload to subsequent processing. It is also possible that the inherent line loss rate of the line is 3.5% and the line is in a normal situation, but at this time, the obtained line loss rate is 6%, exceeding the judgment condition and being regarded as abnormal. Therefore, when judging line loss based on the default value of the industry standard, there is a problem of inaccurate judgment. Summary of the Invention

[0003] Based on this, it is necessary to provide a line loss judgment method, device, equipment, storage medium, and program product that can improve the accuracy of line loss judgment for the above technical problems.

[0004] In a first aspect, the present application provides a line loss judgment method, and the method includes:

[0005] Obtain theoretical line loss tables for multiple historical time periods of a power supply line, where the theoretical line loss tables include the number of metering devices and the theoretical line loss of the power supply line in each time period;

[0006] Obtain the difference between the number of metering devices in the current time period of the power supply line and the number of metering devices in each of the historical time periods;

[0007] Compare the difference with a preset threshold to obtain a comparison result;

[0008] Judge whether the actual line loss in the current time period is normal according to the comparison result and the theoretical line losses and line loss dates in each of the historical time periods.

[0009] In one embodiment, the judging whether the actual line loss in the current time period is normal according to the comparison result and the theoretical line losses in each of the historical time periods includes:

[0010] If there is a first historical time period in the comparison result where the difference is greater than or equal to the preset threshold, determine a second historical time period according to the current time period and the first historical time period; the time difference between the second historical time period and the current time period is the smallest;

[0011] Judge whether the actual line loss in the current time period is normal according to the theoretical line loss in the second historical time period.

[0012] In one embodiment, the judging whether the actual line loss in the current time period is normal according to the theoretical line loss in the second historical time period includes:

[0013] Determine an upper line loss value and a lower line loss value according to a preset upper ratio value, a lower ratio value and the theoretical line loss in the second historical time period;

[0014] If the actual line loss in the current time period is not greater than the upper line loss value and not less than the lower line loss value, determine that the actual line loss is normal.

[0015] In one embodiment, the method further includes:

[0016] If the actual line loss in the current time period is greater than the upper line loss value or less than the lower line loss value, determine that the actual line loss is abnormal.

[0017] In one embodiment, the judging whether the actual line loss in the current time period is normal according to the comparison result and the theoretical line loss in each historical time period includes:

[0018] If there is no first historical time period in the comparison result where the difference is greater than or equal to the preset threshold, judge whether the actual line loss in the current time period is within a preset line loss range;

[0019] If the actual line loss in the current time period is within the preset line loss range, determine that the actual line loss in the current time period is normal.

[0020] In one embodiment, the method further includes:

[0021] If the actual line loss in the current time period is outside the preset line loss range, determine that the actual line loss in the current time period is abnormal.

[0022] A first acquisition module, configured to acquire a theoretical line loss table of a plurality of historical time periods of a power supply line, where the theoretical line loss table includes the number of metering devices and the theoretical line loss of the power supply line in each time period;

[0023] A second acquisition module, configured to acquire the difference between the number of metering devices in the current time period of the power supply line and the number of metering devices in each of the historical time periods;

[0024] A comparison module, configured to compare the difference with a preset threshold to obtain a comparison result;

[0025] A judgment module, configured to judge whether the actual line loss in the current time period is normal according to the comparison result, the theoretical line losses in each historical time period, and the line loss dates.

[0026] In a third aspect, the present application further provides a computer device, which includes a memory and a processor. The memory stores a computer program, and when the processor executes the computer program, the following steps are implemented:

[0027] Obtain the theoretical line loss tables of multiple historical time periods of a power supply line, where the theoretical line loss tables include the number of metering devices and the theoretical line losses of the power supply line in each time period;

[0028] Obtain the difference between the number of metering devices in the current time period of the power supply line and the number of metering devices in each historical time period;

[0029] Compare the difference with a preset threshold to obtain a comparison result;

[0030] Judge whether the actual line loss in the current time period is normal according to the comparison result, the theoretical line losses in each historical time period, and the line loss dates.

[0031] In a fourth aspect, the present application further provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the following steps are implemented:

[0032] Obtain the theoretical line loss tables of multiple historical time periods of a power supply line, where the theoretical line loss tables include the number of metering devices and the theoretical line losses of the power supply line in each time period;

[0033] Obtain the difference between the number of metering devices in the current time period of the power supply line and the number of metering devices in each historical time period;

[0034] Compare the difference with a preset threshold to obtain a comparison result;

[0035] Judge whether the actual line loss in the current time period is normal according to the comparison result, the theoretical line losses in each historical time period, and the line loss dates.

[0036] In a fifth aspect, the present application further provides a computer program product, which includes a computer program. When the computer program is executed by a processor, the following steps are implemented:

[0037] Obtain the theoretical line loss tables of multiple historical time periods of a power supply line, where the theoretical line loss tables include the number of metering devices and the theoretical line losses of the power supply line in each time period;

[0038] Obtain the difference between the number of metering devices in the current time period of the power supply line and the number of metering devices in each of the historical time periods;

[0039] Compare the difference with a preset threshold to obtain a comparison result;

[0040] Based on the comparison result and the theoretical line losses and line loss dates of each of the historical time periods, determine whether the actual line loss in the current time period is normal.

[0041] The above line loss judgment method, device, equipment, storage medium and program product obtain the theoretical line loss tables of multiple historical time periods of the power supply line, and obtain the difference between the number of metering devices in the current time period of the power supply line and the number of metering devices in each historical time period, compare the difference with a preset threshold, and based on the comparison result and the theoretical line losses and line loss dates of each historical time period, determine whether the actual line loss in the current time period is normal. In the method of this application, by comparing the number of metering devices in the current time period of the power supply line with the number of metering devices in multiple historical time periods, and based on the difference between different numbers of metering devices, further determine whether the actual line loss is normal, fully considering the losses of the metering devices themselves and the misjudgment of the line loss value caused by the differences in the number of metering devices, making the line loss judgment method more accurate, and the method for obtaining the number of metering devices is simple and highly operable. Description of the Drawings

[0042] Figure 1 It is an application environment diagram of the line loss judgment method in an embodiment;

[0043] Figure 2 It is a flow schematic diagram of the line loss judgment method in an embodiment;

[0044] Figure 3 It is a flow schematic diagram of the line loss judgment method in another embodiment;

[0045] Figure 4 It is a flow schematic diagram of the line loss judgment method in another embodiment;

[0046] Figure 5 It is a structural block diagram of the line loss judgment device in an embodiment;

[0047] Figure 6 It is a structural block diagram of the line loss judgment device in another embodiment;

[0048] Figure 7 It is a structural block diagram of the line loss judgment device in another embodiment;

[0049] Figure 8 It is a structural block diagram of the line loss judgment device in another embodiment;

[0050] Figure 9It is a structural block diagram of a line loss judgment device in another embodiment;

[0051] Figure 10 It is a structural block diagram of a line loss judgment device in another embodiment;

[0052] Figure 11 It is an internal structure diagram of a computer device in an embodiment. Detailed implementation manners

[0053] In order to make the objectives, technical solutions and advantages of the present application clearer and more understandable, the present application will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0054] The line loss judgment method provided by the embodiments of the present application can be applied to, for example, Figure 1 the application environment shown in the figure. This application environment includes a computer device, and the computer device includes a processor, a memory and a network interface connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store power supply line loss information data. The network interface of the computer device is used to communicate with an external terminal through a network connection. The computer program, when executed by the processor, implements a line loss judgment method. Among them, the server can be implemented by an independent server or a server cluster composed of multiple servers.

[0055] In one embodiment, as shown in Figure 2 the figure, a line loss judgment method is provided. Taking the computer device in Figure 1 as an example, the method includes the following steps:

[0056] S201, obtain the theoretical line loss tables of a plurality of historical time periods of the power supply line. The theoretical line loss tables include the number of metering devices and the theoretical line loss of the power supply line in each time period.

[0057] Among them, the theoretical line loss tables include the number of metering devices and the theoretical line loss of the power supply line in each time period, and the theoretical line loss is the theoretical line loss determined in combination with the power supply transfer event.

[0058] In this embodiment, obtaining the theoretical line loss tables of a power supply line for multiple historical time periods can be the theoretical line loss tables of the same power supply line for multiple historical time periods. For example, for the theoretical line loss table of power supply line 1, in October 2021, the number of metering devices was 6 and the theoretical line loss was 2.1%, in September 2021, the number of metering devices was 3 and the theoretical line loss was 1.5%, in August 2021, the number of metering devices was 5 and the theoretical line loss was 1.4%... It can also be the theoretical line loss tables of multiple power supply lines for multiple historical time periods. For example, the theoretical line loss table includes power supply line 1, power supply line 2, and power supply line 3. In October 2021, for power supply line 1, the number of metering devices was 6 and the theoretical line loss was 2.1%, for power supply line 2, the number of metering devices was 2 and the theoretical line loss was 0.5%. In September 2021, for power supply line 1, the number of metering devices was 3 and the theoretical line loss was 1.5%, for power supply line 2, the number of metering devices was 4 and the theoretical line loss was 1.8%. In August 2021, for power supply line 1, the number of metering devices was 5 and the theoretical line loss was 1.4%, for power supply line 2, the number of metering devices was 5 and the theoretical line loss was 2.5%, etc.

[0059] S202. Obtain the difference between the number of metering devices in the current time period of the power supply line and the number of metering devices in each historical time period.

[0060] In this embodiment, the number of metering devices in each historical time period can be obtained from the theoretical line loss table, and the number of metering devices in the current time period of the power supply line can be obtained by using a computer device to obtain the image information in the power supply line and using image analysis technology to identify the number of metering devices. For example, the number of metering devices in the current time period (December 5, 2021) of power supply line 1 is 7. For power supply line 1, in November 2021, the number of metering devices was 2, in October 2021, the number of metering devices was 6, in September 2021, the number of metering devices was 3, in August 2021, the number of metering devices was 5... Then the differences between the number of metering devices in the current time period of power supply line 1 and the number of metering devices in each historical time period are 5, 1, 4, 2...

[0061] S203. Compare the difference with a preset threshold to obtain a comparison result.

[0062] In this embodiment, the preset threshold can be 10, 9, 5, etc., and there is no limitation in the embodiments of the present application. For example, the preset threshold is 2. The difference of the power supply line 1 is compared with the preset threshold. The difference between the metering devices of the power supply line 1 in the current time period and those in November 2021 and September 2021 is greater than the preset threshold. The difference between the metering devices in the current time period and those in October 2021 is less than the preset threshold, and the difference between the metering devices in the current time period and those in August 2021 is equal to the preset threshold.

[0063] S204. According to the comparison result, the theoretical line losses and line loss dates of each historical time period, determine whether the actual line loss in the current time period is normal.

[0064] In this embodiment, it is possible to determine whether the actual line loss in the current time period is normal according to the comparison result greater than the preset threshold, the theoretical line losses and line loss dates of each historical time period. For example, the difference between the metering devices of the power supply line 1 in the current time period and those in November 2021 and September 2021 is greater than the preset threshold. The theoretical line loss in November 2021 is 1.4%, and the theoretical line loss in September 2021 is 1.5%. The average value of the theoretical line losses in September 2021 and November 2021 is calculated, and it is determined whether the actual line loss in the current time period is normal according to the average value. It is also possible to determine whether the actual line loss in the current time period is normal according to the comparison result less than or equal to the preset threshold, the theoretical line losses and line loss dates of each historical time period. For example, the difference between the metering devices in October 2021 is less than the preset threshold, the difference between the metering devices in August 2021 is equal to the preset threshold. The theoretical line loss in October 2021 is 1.7%, and the theoretical line loss in August 2021 is 0.8%. The minimum theoretical line loss is used as the theoretical line loss to determine whether the actual line loss in the current time period is normal. There is no limitation in the embodiments of the present application.

[0065] In the above line loss judgment method, by obtaining the theoretical line loss table of multiple historical time periods of the power supply line, and obtaining the difference between the number of metering devices in the current time period of the power supply line and the number of metering devices in each historical time period, the difference is compared with the preset threshold. According to the comparison result, the theoretical line losses and line loss dates of each historical time period, determine whether the actual line loss in the current time period is normal. In the method of the present application, the number of metering devices in the current time period of the power supply line is compared with the number of metering devices in multiple historical time periods. According to the difference between different numbers of metering devices, it is further determined whether the actual line loss is normal, fully considering the loss of the metering device itself and the misjudgment of the line loss value caused by the difference in the number of metering devices, making the line loss judgment method more accurate, and the method for obtaining the number of metering devices is simple and highly operable.

[0066] The above Figure 2The method for judging line loss is introduced in the embodiments. Next, the following two cases are used to introduce "S204. According to the comparison result, the theoretical line loss and the line loss date of each historical time period, judge whether the actual line loss in the current time period is normal." As Figure 3 shown.

[0067] The first case includes the following steps: S301. If there is a first historical time period in the comparison result whose difference is greater than or equal to the preset threshold, then determine a second historical time period according to the current time period and the first historical time period; the time difference between the second historical time period and the current time period is the smallest.

[0068] In this embodiment, still taking the preset threshold in step S203 above as an example, the preset threshold is 2. The number of metering devices in the current time period of power supply line 1 is 7, the number of metering devices in November 2021 is 2, the number of metering devices in October 2021 is 6, the number of metering devices in September 2021 is 3, and the number of metering devices in August 2021 is 5. The difference between the current time period and the number of metering devices in November 2021 is 5, and the difference between the current time period and the number of metering devices in September 2021 is 4, that is, the difference is greater than the preset threshold. The difference between the current time period and the number of metering devices in August 2021 is 2, and the difference is equal to the preset threshold. Then, November 2021, September 2021, and August 2021 are determined as the first historical time periods. Further, the current time period is December 2021. Since the time difference between the metering devices in November 2021 and December 2021 is the smallest, the second historical time period is determined to be November 2021.

[0069] S302. Judge whether the actual line loss in the current time period is normal according to the theoretical line loss in the second historical time period.

[0070] In this embodiment, it can be determined that the actual line loss in the current time period is normal if the difference between the theoretical line loss in the second historical time period and the actual line loss in the current time period is less than or equal to a certain threshold, and the actual line loss in the current time period is considered abnormal if the difference between the actual line loss in the current time period and the theoretical line loss in the second historical time period is greater than the threshold. For example, if the actual line loss in the current time period is 2.5%, and the threshold is 0.2%, and the theoretical line loss in the second historical time period is 2.3%, then the difference between the theoretical line loss in the second historical time period and the actual line loss in the current time period is equal to the threshold of 0.2%, so the actual line loss in the current time period is normal; if the theoretical line loss in the second historical time period is 1.7%, then the difference between the theoretical line loss in the second historical time period and the actual line loss in the current time period is 0.8%, that is, greater than the threshold of 0.2%, so the actual line loss in the current time period is abnormal. It is also possible to directly compare the theoretical line loss and the actual line loss in the second historical time period. If the actual line loss in the current time period is greater than or equal to the theoretical line loss in the second historical time period, then the actual line loss in the current time period is abnormal; if the actual line loss in the current time period is less than the theoretical line loss in the second historical time period, then the actual line loss in the current time period is normal. For example, if the actual line loss in the current time period is 2.5%, and the theoretical line loss in the second historical time period is 2.3%, that is, the actual line loss in the current time period is greater than the theoretical line loss in the second historical time period, then the actual line loss in the current time period is abnormal; if the theoretical line loss in the second historical time period is 2.8%, that is, the actual line loss in the current time period is less than the theoretical line loss in the second historical time period, then the actual line loss in the current time period is normal.

[0071] In the embodiment of the present application, according to the comparison result, the theoretical line losses and line loss dates of each historical time period, it is determined whether the actual line loss in the current time period is normal. By finding the first historical time period in which the difference of the metering device is greater than or equal to the preset threshold, the second historical time period with the smallest time difference is determined from the first historical time period, and according to the theoretical line loss in the second historical time period and the actual line loss in the current time period, it is determined whether the actual line loss in the current time period is normal. In this method, the process of judging the line loss in the case of a large difference in the number of metering devices is introduced, fully considering the line loss caused by the metering device, making the line loss judgment more accurate, and the theoretical line losses of each historical time period have been pre-stored in the database. The method for obtaining the difference of the metering device and the actual line loss in the current time period is simple, and a judgment can be made quickly.

[0072] The second case includes the following steps: S303, if there is no first historical time period in the comparison result where the difference is greater than or equal to the preset threshold, then it is determined whether the actual line loss in the current time period is within the preset line loss range.

[0073] In this embodiment, among the multiple possible historical time periods, if there is no first historical time period in which the difference is greater than or equal to the preset threshold, or if there is no historical time period in the current time period, then it is determined according to whether the actual line loss in the current time period is within the preset line loss range. The preset line loss range can be 2.2% - 3%, or the preset line loss range can be 1% - 4%. The embodiments of the present application do not limit this. For example, the preset line loss range is -2% - 3.5%, and it is determined whether the actual line loss in the current time period is within the preset line loss range.

[0074] S304, if the actual line loss in the current time period is within the preset line loss range, it is determined that the actual line loss in the current time period is normal.

[0075] In this embodiment, for example, the preset threshold is 2, the number of metering devices in the current time period is 7, and the number of metering devices in each historical time period is 6, 8, 7, that is, there is no first historical time period in which the difference is greater than or equal to the preset threshold, or there is no historical time period in the current time period. If the actual line loss in the current time period is 2% and the preset line loss range is -2% - 3.5%, and the actual line loss in the current time period is within the preset line loss range, it is determined that the actual line loss in the current time period is normal.

[0076] S305, if the actual line loss in the current time period is outside the preset line loss range, it is determined that the actual line loss in the current time period is abnormal.

[0077] In this embodiment, for example, if the actual line loss in the current time period is 4% and the preset line loss range is -2% - 3.5%, and the actual line loss in the current time period is outside the preset line loss range, it is determined that the actual line loss in the current time period is abnormal.

[0078] In the embodiments of the present application, another case of determining whether the actual line loss in the current time period is normal according to the comparison result and the theoretical line loss and line loss date of each historical time period, that is, there is no first historical time period in which the difference is greater than or equal to the preset threshold in the comparison result. In this method, the difference in the number of metering devices is less than the preset threshold, which means that when comparing the power supply line in the current time period with each historical time period, the number of metering devices has not changed significantly, and there is no impact on the line loss caused by the number of metering devices. It is directly determined according to the preset line loss range, which simplifies the method of line loss judgment, improves the efficiency of line loss judgment, and also takes into account the case where there is no historical time period, improving the accuracy of line loss judgment.

[0079] In Figure 3 On this basis, the following focuses on elaborating the specific process of "S302, determining whether the actual line loss in the current time period is normal according to the theoretical line loss in the second historical time period", as Figure 4 shown, including the following steps:

[0080] S401. Determine the upper limit value and the lower limit value of the line loss according to the preset upper limit ratio value, the lower limit ratio value, and the theoretical line loss in the second historical time period.

[0081] In this embodiment, the preset upper limit ratio value and the lower limit ratio value may be specific values directly specified according to the actual situation. For example, the upper limit ratio value is 3% and the lower limit ratio value is 2%. Alternatively, they may be calculated based on the difference in the number of metering devices and the time difference between the second historical time period and the current time period. For example, the first base value is 0.05%. For each additional metering device above the preset threshold value, the first base value is increased by 0.02%. For each additional month in the time difference between the second historical time period and the current time period, the first base value is increased by 0.01%. Further, the upper limit ratio value and the lower limit ratio value may be the same. For example, the theoretical line loss in the second historical time period is 2.5%, and both the upper limit ratio value and the lower limit ratio value are 0.1%. The upper limit ratio value and the lower limit ratio value may also be different. For example, the theoretical line loss in the second historical time period is 2.5%, the upper limit ratio value is 0.1%, and the lower limit ratio value is 0.2%. The embodiments of the present application do not limit this.

[0082] In this embodiment, the upper limit value of the line loss may be the theoretical line loss in the second historical time period plus the upper limit ratio value, and the lower limit value of the line loss may be the theoretical line loss in the second historical time period minus the lower limit ratio value. For example, the theoretical line loss in the second historical time period is 2.5%, the upper limit ratio value is 0.2%, and the lower limit ratio value is 0.1%. Then the upper limit value of the line loss is 2.7%, and the lower limit value of the line loss is 2.4%. Alternatively, the upper limit value of the line loss may be the theoretical line loss in the second historical time period multiplied by the upper limit ratio value, and the lower limit value of the line loss may be the theoretical line loss in the second historical time period multiplied by the lower limit ratio value. For example, the theoretical line loss in the second historical time period is 2.5%, the upper limit ratio value is 2, and the lower limit ratio value is 1. Then the upper limit value of the line loss is 5%, and the lower limit value of the line loss is 2.5%.

[0083] S402. If the actual line loss in the current time period is not greater than the upper limit value of the line loss and not less than the lower limit value of the line loss, it is determined that the actual line loss is normal.

[0084] In this embodiment, if the actual line loss in the current time period is 2.46%, the upper limit value of the line loss is 2.6%, and the lower limit value of the line loss is 2.4%, and the actual line loss in the current time period is between the upper limit value and the lower limit value of the line loss, it is determined that the actual line loss is normal.

[0085] S403. If the actual line loss in the current time period is greater than the upper limit value of the line loss or less than the lower limit value of the line loss, it is determined that the actual line loss is abnormal.

[0086] In this embodiment, if the actual line loss in the current time period is 2.3%, the upper limit value of the line loss is 2.6%, and the lower limit value of the line loss is 2.4%, and the actual line loss in the current time period is less than the lower limit value of the line loss, it is determined that the actual line loss is abnormal. Or if the actual line loss in the current time period is 2.7%, and the actual line loss in the current time period is greater than the upper limit value of the line loss, it is determined that the actual line loss is abnormal.

[0087] In the embodiment of the present application, it is determined whether the actual line loss in the current time period is normal according to the actual line loss, the upper limit value of the line loss, and the lower limit value of the line loss in the current time period. In the method of the present application, when there are large differences in the number of metering devices, after determining the second historical time period closest to the current time period, based on the theoretical line loss in the second historical time period, according to the upper limit value of the ratio and the lower limit value of the ratio, the upper limit value and the lower limit value of the line loss are re-determined, and the line loss judgment range of the power supply line is appropriately changed, and the line loss judgment is more flexible. Moreover, by determining the upper and lower limit values of the line loss according to the theoretical line loss in the second historical time period (closest to the current time period), the state of the power supply line is closest to the current state, ensuring the accuracy rate of the line loss judgment of the power supply line.

[0088] It should be understood that although the steps in the flowcharts involved in the above embodiments are displayed in sequence according to the arrows, these steps do not necessarily need to be executed in the order indicated by the arrows. Unless there is a clear description in this article, the execution of these steps has no strict order limit, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above embodiments may include multiple steps or multiple stages. These steps or stages do not necessarily need to be executed at the same moment, but can be executed at different moments. The execution order of these steps or stages does not necessarily need to be sequential, but can be executed alternately or alternately with at least a part of other steps or steps or stages in other steps.

[0089] Based on the same inventive concept, the embodiment of the present application also provides a line loss judgment device for implementing the above-mentioned line loss judgment method. The implementation solution provided by this device to solve the problem is similar to the implementation solution described in the above method. Therefore, the specific limitations in one or more embodiments of the following line loss judgment device can refer to the limitations on the line loss judgment method in the above text, and will not be repeated here.

[0090] In one embodiment, as Figure 5 shown, a line loss judgment device is provided, including: a first acquisition module 11, a second acquisition module 12, a comparison module 13, and a judgment module 14, where:

[0091] The first acquisition module 11 is configured to acquire theoretical line loss tables of a power supply line for multiple historical time periods, where the theoretical line loss tables include the number of metering devices and the theoretical line loss of the power supply line in each time period.

[0092] The second acquisition module 12 is configured to acquire the difference between the number of metering devices in the current time period of the power supply line and the number of metering devices in each historical time period.

[0093] The comparison module 13 is configured to compare the difference with a preset threshold to obtain a comparison result.

[0094] The judgment module 14 is configured to judge whether the actual line loss in the current time period is normal according to the comparison result, the theoretical line loss in each historical time period, and the line loss date.

[0095] In one embodiment, as Figure 6 shown, the judgment module 14 includes:

[0096] The first determination unit 141 is configured to, when there is a first historical time period in the comparison result where the difference is greater than or equal to the preset threshold, determine a second historical time period according to the current time period and the first historical time period; the time difference between the second historical time period and the current time period is the smallest.

[0097] The first judgment unit 142 is configured to judge whether the actual line loss in the current time period is normal according to the theoretical line loss in the second historical time period.

[0098] In one embodiment, the first judgment unit 142 is configured to determine an upper line loss value and a lower line loss value according to a preset upper ratio value, a lower ratio value, and the theoretical line loss in the second historical time period; if the actual line loss in the current time period is not greater than the upper line loss value and not less than the lower line loss value, it is determined that the actual line loss is normal; if the actual line loss in the current time period is greater than the upper line loss value or less than the lower line loss value, it is determined that the actual line loss is abnormal.

[0099] In one embodiment, as Figure 7 shown, the judgment module 14 further includes:

[0100] The second judgment unit 143 is configured to, when there is no first historical time period in the comparison result where the difference is greater than or equal to the preset threshold, judge whether the actual line loss in the current time period is within a preset line loss range.

[0101] The second determination unit 144 is configured to, when the actual line loss in the current time period is within the preset line loss range, determine that the actual line loss in the current time period is normal.

[0102] In one embodiment, as Figure 8 shown, the judgment module 14 further includes:

[0103] A third determination unit 145, configured to determine that the actual line loss in the current time period is abnormal if the actual line loss in the current time period is outside the preset line loss range.

[0104] In one embodiment, as Figure 9 shown, a line loss judgment device is provided, and the device further includes:

[0105] A first determination module 15, configured to determine whether there is a power transfer event in the power supply line during a preset time period according to the line information of the power supply line;

[0106] A second determination module 16, configured to, if there is a power transfer event in the power supply line, determine at least two non-power-transfer time periods from the preset time period with the date of the power transfer event as a segmentation point; the non-power-transfer time periods include dates when there is no power transfer event.

[0107] In one embodiment, as Figure 10 shown, a line loss judgment device is provided, and the device further includes:

[0108] A third acquisition module 17, configured to acquire the theoretical line loss of the power supply line according to the line loss information of the power supply line in each non-power-transfer time period.

[0109] Each module in the above line loss judgment device can be implemented in whole or in part by software, hardware, and their combination. The above modules can be embedded in or independent of a processor in a computer device in the form of hardware, or stored in a memory in the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.

[0110] In one embodiment, a computer device is provided. The computer device can be a terminal, and its internal structure diagram can be as Figure 11As shown. The computer device includes a processor, a memory, a communication interface, a display screen, and an input device connected via a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be implemented through WIFI, a mobile cellular network, NFC (Near Field Communication), or other technologies. When the computer program is executed by the processor, it implements a method for judging line loss. The display screen of the computer device can be a liquid crystal display screen or an electronic ink display screen. The input device of the computer device can be a touch layer covering the display screen, or a button, a trackball, or a touchpad provided on the casing of the computer device, or an external keyboard, touchpad, or mouse, etc.

[0111] Those skilled in the art can understand that Figure 11 the structure shown in

[0112] is only a block diagram of some structures related to the solution of this application, and does not constitute a limitation on the computer device to which the solution of this application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine some components, or have different component arrangements.

[0113] Obtain the theoretical line loss tables of multiple historical time periods of the power supply line. The theoretical line loss table includes the number of metering devices and the theoretical line loss of the power supply line in each time period;

[0114] Obtain the difference between the number of metering devices in the current time period of the power supply line and the number of metering devices in each historical time period;

[0115] Compare the difference with a preset threshold to obtain a comparison result;

[0116] Judge whether the actual line loss in the current time period is normal according to the comparison result and the theoretical line loss and line loss dates of each historical time period.

[0117] In one embodiment, when the processor executes the computer program, it also implements the following steps:

[0118] If there is a first historical time period in the comparison result where the difference is greater than or equal to the preset threshold, then determine a second historical time period according to the current time period and the first historical time period; the time difference between the second historical time period and the current time period is the smallest;

[0119] Judge whether the actual line loss in the current time period is normal according to the theoretical line loss in the second historical time period.

[0120] In one embodiment, when the processor executes the computer program, the following steps are further implemented:

[0121] Determine the upper limit value and lower limit value of the line loss according to the preset upper limit value of the ratio, the lower limit value of the ratio, and the theoretical line loss in the second historical time period;

[0122] If the actual line loss in the current time period is not greater than the upper limit value of the line loss and not less than the lower limit value of the line loss, it is determined that the actual line loss is normal.

[0123] In one embodiment, when the processor executes the computer program, the following steps are further implemented:

[0124] If the actual line loss in the current time period is greater than the upper limit value of the line loss or less than the lower limit value of the line loss, it is determined that the actual line loss is abnormal.

[0125] In one embodiment, when the processor executes the computer program, the following steps are further implemented:

[0126] If there is no first historical time period in the comparison result where the difference is greater than or equal to the preset threshold, judge whether the actual line loss in the current time period is within the preset line loss range;

[0127] If the actual line loss in the current time period is within the preset line loss range, it is determined that the actual line loss in the current time period is normal.

[0128] In one embodiment, when the processor executes the computer program, the following steps are further implemented:

[0129] If the actual line loss in the current time period is outside the preset line loss range, it is determined that the actual line loss in the current time period is abnormal.

[0130] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the following steps are implemented:

[0131] Obtain the theoretical line loss table of multiple historical time periods of the power supply line. The theoretical line loss table includes the number of metering devices and the theoretical line loss of the power supply line in each time period;

[0132] Obtain the difference between the number of metering devices in the current time period of the power supply line and the number of metering devices in each historical time period;

[0133] Compare the difference with the preset threshold to obtain a comparison result;

[0134] Based on the comparison result and the theoretical line losses and line loss dates of each historical time period, determine whether the actual line loss in the current time period is normal.

[0135] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0136] If there is a first historical time period in the comparison result where the difference is greater than or equal to a preset threshold, then determine a second historical time period based on the current time period and the first historical time period; the time difference between the second historical time period and the current time period is the smallest;

[0137] Judge whether the actual line loss in the current time period is normal according to the theoretical line loss of the second historical time period.

[0138] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0139] Determine the upper limit value and the lower limit value of the line loss according to the preset upper limit value of the ratio, the lower limit value of the ratio, and the theoretical line loss of the second historical time period;

[0140] If the actual line loss in the current time period is not greater than the upper limit value of the line loss and not less than the lower limit value of the line loss, then determine that the actual line loss is normal.

[0141] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0142] If the actual line loss in the current time period is greater than the upper limit value of the line loss or less than the lower limit value of the line loss, then determine that the actual line loss is abnormal.

[0143] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0144] If there is no first historical time period in the comparison result where the difference is greater than or equal to the preset threshold, then judge whether the actual line loss in the current time period is within the preset line loss range;

[0145] If the actual line loss in the current time period is within the preset line loss range, then determine that the actual line loss in the current time period is normal.

[0146] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0147] If the actual line loss in the current time period is outside the preset line loss range, then determine that the actual line loss in the current time period is abnormal.

[0148] In one embodiment, a computer program product is provided, including a computer program, and when the computer program is executed by a processor, the following steps are implemented:

[0149] Obtain the theoretical line loss tables for multiple historical time periods of the power supply line. The theoretical line loss tables include the number of metering devices and the theoretical line loss of the power supply line in each time period.

[0150] Obtain the difference between the number of metering devices in the current time period of the power supply line and the number of metering devices in each historical time period.

[0151] Compare the difference with a preset threshold to obtain a comparison result.

[0152] Judge whether the actual line loss in the current time period is normal according to the comparison result, the theoretical line losses in each historical time period, and the line loss dates.

[0153] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0154] If there is a first historical time period in the comparison result where the difference is greater than or equal to the preset threshold, determine a second historical time period according to the current time period and the first historical time period; the time difference between the second historical time period and the current time period is the smallest.

[0155] Judge whether the actual line loss in the current time period is normal according to the theoretical line loss in the second historical time period.

[0156] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0157] Determine an upper line loss value and a lower line loss value according to a preset upper ratio value, a lower ratio value, and the theoretical line loss in the second historical time period.

[0158] If the actual line loss in the current time period is not greater than the upper line loss value and not less than the lower line loss value, determine that the actual line loss is normal.

[0159] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0160] If the actual line loss in the current time period is greater than the upper line loss value or less than the lower line loss value, determine that the actual line loss is abnormal.

[0161] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0162] If there is no first historical time period in the comparison result where the difference is greater than or equal to the preset threshold, judge whether the actual line loss in the current time period is within a preset line loss range.

[0163] If the actual line loss in the current time period is within the preset line loss range, determine that the actual line loss in the current time period is normal.

[0164] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0165] If the actual line loss in the current time period is outside the preset line loss range, it is determined that the actual line loss in the current time period is abnormal.

[0166] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties.

[0167] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above methods. Among them, any reference to a memory, database, or other medium used in the embodiments provided in this application can include at least one of non-volatile and volatile memories. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc. The databases involved in the embodiments provided in this application can include at least one of relational databases and non-relational databases. Non-relational databases can include distributed databases based on blockchain, etc., and are not limited thereto. The processors involved in the embodiments provided in this application can be general-purpose processors, central processors, graphics processors, digital signal processors, programmable logic devices, data processing logics based on quantum computing, etc., and are not limited thereto.

[0168] The technical features of the above embodiments can be combined arbitrarily. For the sake of concise description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as the scope recorded in this specification.

[0169] The above embodiments only express several implementation manners of the present application, and the description is relatively specific and detailed, but it should not be understood as a limitation to the patent scope of the present application. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present application, several deformations and improvements can still be made, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the appended claims.

Claims

1. A line loss judgment method, characterized in that, The method includes: Obtaining theoretical line loss tables for multiple historical time periods of a power supply line, where the theoretical line loss tables include the number of metering devices and the theoretical line loss of the power supply line in each time period; Obtaining the difference between the number of metering devices in the current time period of the power supply line and the number of metering devices in each of the historical time periods; Comparing the difference with a preset threshold to obtain a comparison result; Judging whether the actual line loss in the current time period is normal according to the comparison result, the theoretical line loss in each historical time period, and the line loss date; Among them, the judging whether the actual line loss in the current time period is normal according to the comparison result and the theoretical line loss in each historical time period includes: If there is a first historical time period in the comparison result where the difference is greater than or equal to the preset threshold, determining a second historical time period according to the current time period and the first historical time period; the time difference between the second historical time period and the current time period is the smallest; judging whether the actual line loss in the current time period is normal according to the theoretical line loss in the second historical time period; If there is no first historical time period in the comparison result where the difference is greater than or equal to the preset threshold, judging whether the actual line loss in the current time period is within a preset line loss range; if the actual line loss in the current time period is within the preset line loss range, determining that the actual line loss in the current time period is normal; if the actual line loss in the current time period is outside the preset line loss range, determining that the actual line loss in the current time period is abnormal.

2. The method according to claim 1, characterized in that, The judging whether the actual line loss in the current time period is normal according to the theoretical line loss in the second historical time period includes: Determining an upper line loss value and a lower line loss value according to a preset upper ratio value, a lower ratio value, and the theoretical line loss in the second historical time period; If the actual line loss in the current time period is not greater than the upper line loss value and not less than the lower line loss value, determining that the actual line loss is normal.

3. The method according to claim 2, wherein The method further includes: If the actual line loss in the current time period is greater than the upper line loss value or less than the lower line loss value, determining that the actual line loss is abnormal.

4. A line loss judgment device, characterized in that, The device includes: A first acquisition module for obtaining theoretical line loss tables for multiple historical time periods of a power supply line, where the theoretical line loss tables include the number of metering devices and the theoretical line loss of the power supply line in each time period; A second acquisition module for obtaining the difference between the number of metering devices in the current time period of the power supply line and the number of metering devices in each of the historical time periods; A comparison module for comparing the difference with a preset threshold to obtain a comparison result; A judgment module for judging whether the actual line loss in the current time period is normal according to the comparison result, the theoretical line loss in each historical time period, and the line loss date; Among them, the judgment module includes: A first determination unit, configured to, if there is a first historical time period in the comparison result where the difference is greater than or equal to the preset threshold, determine a second historical time period according to the current time period and the first historical time period; the time difference between the second historical time period and the current time period is the smallest; A first judgment unit, configured to judge whether the actual line loss in the current time period is normal according to the theoretical line loss in the second historical time period; The judgment module further includes: A second judgment unit, configured to, if there is no first historical time period in the comparison result where the difference is greater than or equal to the preset threshold, judge whether the actual line loss in the current time period is within a preset line loss range; a second determination unit, configured to, if the actual line loss in the current time period is within the preset line loss range, determine that the actual line loss in the current time period is normal; a third determination unit, configured to, if the actual line loss in the current time period is outside the preset line loss range, determine that the actual line loss in the current time period is abnormal.

5. A computer device, comprising a memory and a processor, the memory storing a computer program, characterized in that, When the processor executes the computer program, the steps of the method according to any one of claims 1 to 3 are implemented.

6. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, the steps of the method according to any one of claims 1 to 3 are implemented.

7. A computer program product comprising a computer program, characterized in that, When the computer program is executed by the processor, the steps of the method according to any one of claims 1 to 3 are implemented.

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