A method, system, device and medium for detecting abnormality of a transmission line

Abstract

The present invention discloses a method, system, device and medium for detecting abnormality of power transmission line, which comprehensively applies low-frequency characteristics and high-frequency characteristics, first uses low-frequency characteristics to preliminarily screen power-consuming equipment, and then uses high-frequency characteristics to refine and accurately judge power-consuming equipment. The accuracy is improved, and the power-consuming equipment used by the user is accurately judged. According to the actual power consumption of the power-consuming equipment, it is quickly judged whether the power transmission line connected to it has abnormal power consumption; it solves the technical problem that the existing detection method of power transmission line needs to spend a lot of manpower and material resources and is inefficient, and cannot quickly determine the abnormality of the power transmission line.

Description

Technical Field

[0001] The present invention relates to the technical field of electrical data detection, and in particular to a method, system, equipment and medium for detecting abnormality of a power transmission line. Background Art

[0002] At present, in the power grid distribution system, attention is paid to non-technical losses, focusing on detecting abnormal power consumption, reducing power losses, saving electric energy, ensuring the economic income of the power supply department, stabilizing the safe operation of the power grid, and rationally planning the development of the power grid, which plays a very important role in the construction of my country's electricity.

[0003] The load density of rural power grids is low, and the transmission lines in the power grid are long. Most of them are installed in open areas and around low-rise buildings. The installation is scattered and the line loss is relatively serious. The existing transmission line detection method is usually through manual inspection, which requires a lot of manpower and material resources and is inefficient, and cannot quickly determine the abnormality of the transmission line. Summary of the invention

[0004] The present invention provides a method, system, device and medium for detecting abnormalities in a power transmission line, which solves the technical problem that the existing detection method of power transmission lines is usually through manual patrol, which requires a lot of manpower and material resources and is inefficient, and cannot quickly determine the abnormalities of the power transmission line.

[0005] A first aspect of the present invention provides a method for detecting anomalies in a power transmission line, involving a plurality of power consumption anomaly detection devices, including:

[0006] When receiving the node abnormality information sent by the power consumption abnormality detection device, selecting the transmission line to which the node abnormality information belongs as the transmission line to be determined;

[0007] Acquire low-frequency characteristic data, event characteristic data and target power data corresponding to the transmission line to be judged;

[0008] According to the low-frequency characteristic data, a preset low-frequency characteristic standard database is retrieved to determine a plurality of initial low-frequency electrical equipment;

[0009] According to the event feature data, a preset feature key-value pair database is retrieved to match the power-consuming device consistent with the initial low-frequency power-consuming device as the intermediate detection power-consuming device;

[0010] Calculating detection high-frequency characteristic data corresponding to the target power data, and determining a target detection electrical device based on the detection high-frequency characteristic data and the target high-frequency characteristic data corresponding to the intermediate detection electrical device;

[0011] According to the target power data and the rated power data corresponding to the target detection electrical equipment, it is determined whether an abnormality occurs in the line corresponding to the transmission line to be determined.

[0012] Optionally, the low-frequency characteristic data includes a plurality of periodically acquired current effective values, and the step of retrieving a preset low-frequency characteristic standard database according to the low-frequency characteristic data to determine a plurality of initial low-frequency electrical devices includes:

[0013] Calculating a target current difference between the current effective values ​​of adjacent cycles;

[0014] Calculating the multiplication value between the target current difference and the preset target voltage to obtain the corresponding target power;

[0015] According to the target power, a preset low-frequency characteristic standard database is searched to determine the standard power range in which the target power is located;

[0016] A plurality of electrical devices associated with the standard power range are determined as initial low-frequency electrical devices.

[0017] Optionally, the event characteristic data includes season data, regional data and time data corresponding to the power transmission line to be determined, and the step of searching a preset characteristic key-value pair database according to the event characteristic data and matching a power consumer consistent with the initial low-frequency power consumer as an intermediate detection power consumer includes:

[0018] Using the season data, the region data and the time data, a corresponding composite key is generated;

[0019] Inputting the composite key into a preset feature key-value pair database to match a plurality of corresponding initial detection electrical devices;

[0020] The initial detection electrical equipment that is consistent with the initial low-frequency electrical equipment is selected as the intermediate detection electrical equipment.

[0021] Optionally, the event feature data further includes duration data, and after the step of using the season data, the region data and the time data to generate a corresponding composite key, the following steps are included:

[0022] The duration data is added to the composite key as a new composite key.

[0023] Optionally, the step of calculating the detection high-frequency characteristic data corresponding to the target power data, and determining the target detection electrical device based on the detection high-frequency characteristic data and the target high-frequency characteristic data corresponding to the intermediate detection electrical device, includes:

[0024] Calculating detection high-frequency characteristic data corresponding to the target power data;

[0025] Obtain target high-frequency characteristic data corresponding to the intermediate detection electrical equipment;

[0026] The detection high-frequency characteristic data is compared with the target high-frequency characteristic data, and the target detection electrical equipment is determined according to the comparison result.

[0027] Optionally, the detecting high-frequency characteristic data includes detecting current harmonics, detecting harmonic content and detecting total harmonic distortion, the target high-frequency characteristic data includes target current harmonics, target harmonic content and target harmonic distortion, and the step of comparing the detecting high-frequency characteristic data with the target high-frequency characteristic data and determining the target detection electrical equipment according to the comparison result includes:

[0028] comparing the detected current harmonics with the target current harmonics;

[0029] If the detection current harmonic is consistent with the target current harmonic, the electrical device is determined as the target detection electrical device;

[0030] If the detected current harmonic is inconsistent with the target current harmonic, comparing the detected harmonic content with the target harmonic content;

[0031] If the detected harmonic content rate is consistent with the target harmonic content rate, the electrical equipment is determined as the target detected electrical equipment;

[0032] If the detected harmonic content rate is inconsistent with the target harmonic content rate, comparing the detected harmonic total distortion rate with the target harmonic total distortion rate;

[0033] If the detected total harmonic distortion rate is consistent with the target total harmonic distortion rate, the electrical equipment is determined as the target detection electrical equipment.

[0034] Optionally, the target power data includes target current data, the rated power data includes rated current data, and the step of determining whether an abnormality occurs in the line corresponding to the to-be-determined power transmission line according to the target power data and the rated power data corresponding to the target detection electrical equipment comprises:

[0035] comparing the target current data with the rated current data;

[0036] If the target current data is consistent with the rated current data, it is determined that no abnormality occurs in the line corresponding to the transmission line to be determined;

[0037] If the target current data is inconsistent with the rated current data, it is determined that an abnormality occurs in the line corresponding to the transmission line to be determined.

[0038] A second aspect of the present invention provides a power transmission line anomaly detection system, involving multiple power consumption anomaly detection devices, including:

[0039] A line selection module, configured to select, when receiving node abnormality information sent by the power consumption abnormality detection device, a transmission line to which the node abnormality information belongs as a transmission line to be determined;

[0040] A data acquisition module, used to acquire low-frequency characteristic data, event characteristic data and target power data corresponding to the transmission line to be judged;

[0041] An initial low-frequency electrical equipment acquisition module is used to retrieve a preset low-frequency characteristic standard database according to the low-frequency characteristic data to determine a plurality of initial low-frequency electrical equipment;

[0042] An intermediate detection power-consuming device acquisition module is used to search a preset feature key-value pair database according to the event feature data, and match a power-consuming device consistent with the initial low-frequency power-consuming device as an intermediate detection power-consuming device;

[0043] A target detection electrical equipment acquisition module, used to calculate the detection high-frequency characteristic data corresponding to the target power data, and determine the target detection electrical equipment based on the detection high-frequency characteristic data and the target high-frequency characteristic data corresponding to the intermediate detection electrical equipment;

[0044] The judgment module is used to determine whether an abnormality occurs in the line corresponding to the transmission line to be judged based on the target power data and the rated power data corresponding to the target detection electrical equipment.

[0045] A third aspect of the present invention provides an electronic device, comprising a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the steps of the power transmission line abnormality detection method as described in any one of the above items.

[0046] A fourth aspect of the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed, implements the power transmission line anomaly detection method as described in any one of the above items.

[0047] It can be seen from the above technical solutions that the present invention has the following advantages:

[0048] When receiving the information of abnormal power data on the line node sent by the power consumption abnormality detection device, the node abnormality information is read, the transmission line to which the node abnormality information belongs is obtained as the transmission line to be judged, the corresponding current effective value data, season data, regional data, time data and current data of the transmission line are obtained, the low-frequency feature standard database is retrieved according to the low-frequency feature data on the transmission line, the initial low-frequency power equipment under the corresponding low-frequency feature data is matched, the preset feature key-value pair database is input according to the event feature data, the corresponding key value is matched and output, the power equipment corresponding to the key value is matched, and the power equipment consistent with the initial low-frequency power equipment is selected as the intermediate detection power equipment, and the detection high-frequency feature data corresponding to the target power data is compared with the target power equipment corresponding to the intermediate detection power equipment. The method can detect high-frequency characteristic data of the target, determine the target detection electrical equipment according to the comparison result, compare the detected target power data with the rated power data corresponding to the target detection electrical equipment, compare the target current data with the rated current data, and if the target current data is inconsistent with the rated current data, determine that the line corresponding to the transmission line to be determined is abnormal; solve the technical problem that the existing transmission line detection method is usually through manual patrol, which requires a lot of manpower and material resources and is inefficient, and cannot quickly determine the abnormality of the transmission line; the present invention is based on the characteristic data of the current, establishes a corresponding database, and after multiple screenings, accurately determines the electrical equipment used by the user, and quickly determines whether the connected transmission line has abnormal power consumption according to the actual power consumption of the electrical equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0050] Figure 1 A flowchart of a method for detecting abnormality of a power transmission line provided in Embodiment 1 of the present invention;

[0051] Figure 2 A flowchart of a method for detecting abnormality of a power transmission line provided in Embodiment 2 of the present invention;

[0052] Figure 3 This is a structural block diagram of a power transmission line anomaly detection system provided in Embodiment 3 of the present invention. DETAILED DESCRIPTION

[0053] The embodiments of the present invention provide a method, system, device and medium for detecting abnormalities in a power transmission line, which are used to solve the technical problem that the existing detection method of power transmission lines is usually through manual patrol, which requires a lot of manpower and material resources and is inefficient, and cannot quickly determine the abnormalities of the power transmission line.

[0054] In order to make the purpose, features and advantages of the present invention more obvious and easy to understand, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the embodiments described below are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0055] See also Figure 1 , Figure 1 A flowchart of the steps of a method for detecting abnormality of a power transmission line provided in Embodiment 1 of the present invention.

[0056] The present invention provides a method for detecting anomalies in a power transmission line, which involves multiple power consumption anomaly detection devices, including:

[0057] Step 101: When node abnormality information sent by a power consumption abnormality detection device is received, a transmission line to which the node abnormality information belongs is selected as a transmission line to be determined.

[0058] The power anomaly detection device refers to a device installed on the transmission line of the rural power grid to obtain line power data. It is composed of a power anomaly detection device, a main communication module and a server. There are multiple power anomaly detection devices, which are divided into a main power anomaly detection device and multiple branch power anomaly detection devices, which are used to detect the power data of the mainstream line and multiple branch lines.

[0059] Node abnormality information refers to the information on abnormal power data at the line node received by the power consumption abnormality detection device.

[0060] In an embodiment of the present invention, when information on abnormal power data on a line node sent by an abnormal power consumption detection device is received, the node abnormality information is read, and the transmission line to which the node abnormality information belongs is obtained as the transmission line to be determined.

[0061] Step 102: Obtain low-frequency characteristic data, event characteristic data and target power data corresponding to the transmission line to be determined.

[0062] Low-frequency characteristic data refers to the effective value data of the current of electrical equipment detected on the transmission line.

[0063] Event characteristic data refers to the season, region and time data of the transmission line.

[0064] The target power data refers to the detected current data on the transmission line.

[0065] In the embodiment of the present invention, effective value data of current, season data, region data, time data and current data corresponding to the transmission line are obtained.

[0066] Step 103: search a preset low-frequency characteristic standard database according to the low-frequency characteristic data to determine a plurality of initial low-frequency electrical devices.

[0067] The low-frequency characteristic standard database refers to a database established based on the standard low-frequency characteristics of electrical equipment.

[0068] In the embodiment of the present invention, a low-frequency characteristic standard database is retrieved according to the low-frequency characteristic data on the transmission line, and the initial low-frequency electrical equipment under the corresponding low-frequency characteristic data is matched.

[0069] Step 104: search a preset feature key-value pair database according to the event feature data, and match the power-consuming device that is consistent with the initial low-frequency power-consuming device as the intermediate detection power-consuming device.

[0070] The characteristic key-value database refers to a key-value database established based on the association between the season, region and time data of the transmission line and the power-consuming equipment, where the season data, region data and time data are used as keys and the power-consuming equipment is used as values.

[0071] In an embodiment of the present invention, a preset feature key-value pair database is input according to event feature data, the corresponding key value is matched and output, the electrical equipment corresponding to the key value is matched, and the electrical equipment consistent with the initial low-frequency electrical equipment is selected as the intermediate detection electrical equipment.

[0072] Step 105 : Calculate the detection high-frequency characteristic data corresponding to the target power data, and determine the target detection electrical equipment based on the detection high-frequency characteristic data and the target high-frequency characteristic data corresponding to the intermediate detection electrical equipment.

[0073] In the embodiment of the present invention, the detection high-frequency characteristic data corresponding to the target power data is compared with the target high-frequency characteristic data corresponding to the intermediate detection electrical equipment, and the target detection electrical equipment is determined according to the comparison result.

[0074] Step 106: Determine whether an abnormality occurs in the line corresponding to the transmission line to be determined based on the target power data and the rated power data corresponding to the target detection electrical equipment.

[0075] In an embodiment of the present invention, the detected target power data is compared with the rated power data corresponding to the target detected electrical equipment, and the target current data is compared with the rated current data. If the target current data is inconsistent with the rated current data, it is determined that an abnormality has occurred in the line corresponding to the transmission line to be judged.

[0076] In an embodiment of the invention, when information about abnormal power data on a line node sent by an abnormal power consumption detection device is received, the node abnormal information is read, the transmission line to which the node abnormal information belongs is obtained as the transmission line to be judged, the effective value data of the current, seasonal data, regional data, time data and current data corresponding to the transmission line are obtained, and a low-frequency feature standard database is retrieved according to the low-frequency feature data on the transmission line, and the initial low-frequency power equipment under the corresponding low-frequency feature data is matched, and a preset feature key-value pair database is input according to the event feature data, and the corresponding key value is matched and output, and the power equipment corresponding to the key value is matched, and the power equipment consistent with the initial low-frequency power equipment is selected as the intermediate detection power equipment, and the detection high-frequency feature data corresponding to the target power data is compared with the intermediate detection power equipment. The target high-frequency characteristic data corresponding to the target is used to determine the target detection electrical equipment according to the comparison result, the detected target power data is compared with the rated power data corresponding to the target detection electrical equipment, and the target current data is compared with the rated current data. If the target current data is inconsistent with the rated current data, it is determined that the line corresponding to the transmission line to be determined is abnormal; the existing transmission line detection method, which is usually through manual patrol, requires a lot of manpower and material resources and is inefficient, and cannot quickly determine the technical problem of abnormal transmission line; the present invention is based on the characteristic data of the current, establishes a corresponding database, and after multiple screenings, accurately determines the electrical equipment used by the user, and according to the actual power consumption of the electrical equipment, quickly determines whether the connected transmission line has abnormal power consumption.

[0077] See also Figure 2 , Figure 2 A flowchart of the steps of a method for detecting abnormality of a power transmission line provided in Embodiment 2 of the present invention.

[0078] The present invention provides a method for detecting anomalies in a power transmission line, which involves multiple power consumption anomaly detection devices, including:

[0079] Step 201: When node abnormality information sent by a power consumption abnormality detection device is received, a transmission line to which the node abnormality information belongs is selected as a transmission line to be determined.

[0080] The power anomaly detection device refers to a device installed on the transmission line of the rural power grid to obtain line power data. It is composed of a power anomaly detection device, a main communication module and a server; the power anomaly detection device includes a CPU module, a wireless module and a current transformer module; according to Kirchhoff's current law, the relationship between the branch currents at any node in the transmission line is determined, and the sum of all currents entering any node is equal to the sum of all currents leaving the node. Among them, the current of each branch and the total current are collected by the power anomaly detection device, and the collected data is transmitted to the main communication module through LORA. In this embodiment, the main communication module is preferably a concentrator, and the concentrator aggregates the data of each node to the server for processing. The processing output result can be divided into normal state, abnormal state and alarm state. The current transformer module is used to convert the AC current on the primary side to the AC current on the secondary side according to a certain ratio, so as to achieve isolation between the primary side and the secondary side and improve safety and stability.

[0081] Step 202: Obtain low-frequency characteristic data, event characteristic data and target power data corresponding to the transmission line to be determined.

[0082] In the embodiment of the present invention, the specific implementation process of step 202 is similar to step 102 and will not be repeated here.

[0083] Step 203: search a preset low-frequency characteristic standard database according to the low-frequency characteristic data to determine a plurality of initial low-frequency electrical devices.

[0084] Furthermore, the low-frequency characteristic data includes a plurality of periodically acquired current effective values, and step 203 may include the following sub-steps:

[0085] Step S11, calculating the target current difference between the effective current values ​​of adjacent cycles.

[0086] In the embodiment of the present invention, the effective value of the current is collected according to the period, and the effective value of the current I with the current collection period T is obtained. T , the previous acquisition cycle is I T-1 , calculate the target current difference between the effective current values ​​of adjacent cycles, the target current difference is ΔI=|I T -I T-1 |.

[0087] Step S12: Calculate the multiplication value between the target current difference and the preset target voltage to obtain the corresponding target power.

[0088] In the embodiment of the present invention, the multiplication value between the calculated target current difference and the preset target voltage is calculated to obtain the corresponding target power

[0089] In the embodiment of the present invention, the power of electrical appliances is: air conditioner 800-1000W, refrigerator 100-200W, washing machine 200-1000W, microwave oven 900-1300W, electric kettle: 1200W-2000W, rice cooker 500-1200W, induction cooker 800-2000W, range hood 100-200W, fan 50-150W, TV 100-200W, lighting 50-100W, electric water heater 1000-2000W.

[0090] Step S13: searching a preset low-frequency characteristic standard database according to the target power to determine the standard power range in which the target power is located.

[0091] In the embodiment of the present invention, a preset low-frequency feature standard database is searched according to the target power to match the standard power range where the target power is located.

[0092] Step S14: determine a plurality of electrical devices associated with the standard power range as initial low-frequency electrical devices.

[0093] In the embodiment of the present invention, according to the standard power range in which the target power is located, a plurality of electrical devices associated with the standard power range are determined as initial low-frequency electrical devices.

[0094] Step 204: search a preset feature key-value pair database according to the event feature data, and match the power-consuming device that is consistent with the initial low-frequency power-consuming device as the intermediate detection power-consuming device.

[0095] Furthermore, the event characteristic data includes season data, region data and time data corresponding to the transmission line to be determined, and step 204 may include the following sub-steps:

[0096] Step S21: Use season data, region data and time data to generate a corresponding composite key.

[0097] A composite key refers to a key composed of event feature data input into the feature key-value pair database. The event feature data may include season data, region data, and time data corresponding to the transmission line to be judged, and the composed key is used to construct a composite screening condition.

[0098] In the embodiment of the present invention, for example, 11 to 13 o'clock in the south in March is input as a composite key.

[0099] Step S22: input the composite key into a preset feature key-value pair database to match a plurality of corresponding initial detection electrical devices.

[0100] In the embodiment of the present invention, the composite key is input into a preset feature key-value pair database to obtain a corresponding key value, and a plurality of corresponding initial detection electrical devices are matched according to the key value.

[0101] Step S23: Selecting an initial detection electrical device that is consistent with the initial low-frequency electrical device as an intermediate detection electrical device.

[0102] Furthermore, the event feature data also includes duration data, and the following steps may be included after step S21:

[0103] Add duration data to the composite key as a new composite key.

[0104] In the embodiment of the present invention, duration data is added to further generate a new composite key.

[0105] Step 205: Calculate the detected high-frequency characteristic data corresponding to the target power data.

[0106] In the embodiment of the present invention, the corresponding detection high-frequency characteristic data is calculated according to the acquired target power data.

[0107] Detection of high-frequency characteristic data includes detection of current harmonics, detection of harmonic content rate and detection of total harmonic distortion rate;

[0108] Harmonics refers to the general term for all sinusoidal components whose frequencies are integer multiples of the original periodic current frequency when the non-sinusoidal periodic current function is expanded according to the Fourier series. Harmonic currents with a frequency equal to k times the original periodic current frequency are called kth harmonic currents.

[0109] The total harmonic distortion rate is the ratio of the effective value of the total harmonic current to the effective value of the fundamental current, expressed as a percentage.

[0110] The calculation formula for detecting the total harmonic distortion rate is:

[0111]

[0112] Among them, THD represents the total harmonic distortion rate, I H Indicates the total harmonic current effective value, I i Indicates the effective value of fundamental current.

[0113] The harmonic content rate detected refers to the ratio of the effective value of the hth harmonic current to the effective value of the fundamental current, expressed as a percentage.

[0114] The calculation formula for the hth detection harmonic content rate is:

[0115]

[0116] Among them, HRI h Indicates the harmonic content rate of the hth detection, I h Indicates the effective value of the hth harmonic current.

[0117] Step 206: Obtain target high-frequency characteristic data corresponding to the intermediate detection electrical equipment.

[0118] In the embodiment of the present invention, the high-frequency characteristic data corresponding to the intermediate detection electrical equipment may be obtained from a preset high-frequency characteristic data database.

[0119] Step 207 : Compare the detection high-frequency feature data with the target high-frequency feature data, and determine the target detection electrical equipment according to the comparison result.

[0120] Further, detecting high-frequency characteristic data includes detecting current harmonics, detecting harmonic content, and detecting total harmonic distortion, and target high-frequency characteristic data includes target current harmonics, target harmonic content, and target total harmonic distortion. Step 207 may include the following sub-steps:

[0121] Step S31 : comparing the detected current harmonics with the target current harmonics.

[0122] In the embodiment of the present invention, the current harmonics include 3rd harmonic, 5th harmonic, 7th harmonic, 9th harmonic, 11th harmonic and 13th harmonic.

[0123] Step S32: If the detected current harmonics are consistent with the target current harmonics, the electrical device is determined as the target detected electrical device.

[0124] In an embodiment of the present invention, the detection current harmonics are compared with the target current harmonics, wherein the 3rd harmonic, the 5th harmonic, the 7th harmonic, the 9th harmonic, the 11th harmonic and the 13th harmonic are compared in sequence. If one of the conditions is consistent, the electrical equipment with the consistent current harmonic comparison is used as the target detection electrical equipment.

[0125] Step S33: If the detected current harmonics are inconsistent with the target current harmonics, compare the detected harmonic content rate with the target harmonic content rate.

[0126] In an embodiment of the present invention, if the current harmonic comparison is inconsistent, the harmonic content rate is compared, and the harmonic content rate includes the 3rd harmonic content rate, the 5th harmonic content rate, the 7th harmonic content rate, the 9th harmonic content rate, the 11th harmonic content rate, and the 13th harmonic content rate.

[0127] Step S34: If the detected harmonic content rate is consistent with the target harmonic content rate, the electrical equipment is determined as the target detection electrical equipment.

[0128] In the embodiment of the present invention, the 3rd harmonic content, 5th harmonic content, 7th harmonic content, 9th harmonic content, 11th harmonic content and 13th harmonic content are compared in sequence. If one of the conditions is consistent, the electrical equipment with the consistent harmonic content is used as the target detection electrical equipment.

[0129] Step S35: If the detected harmonic content rate is inconsistent with the target harmonic content rate, compare the detected harmonic total distortion rate with the target harmonic total distortion rate.

[0130] In the embodiment of the present invention, if the harmonic content ratio comparison is inconsistent, the total harmonic distortion ratio is compared.

[0131] Step S36: If the detected total harmonic distortion rate is consistent with the target total harmonic distortion rate, the electrical equipment is determined as the target detection electrical equipment.

[0132] In the embodiment of the present invention, if the detected total harmonic distortion rate is consistent with the target total harmonic distortion rate, the electrical equipment is determined as the target detection electrical equipment.

[0133] The high-frequency characteristic data of each electrical equipment in the preset high-frequency characteristic data database are as follows, for example, refrigerator: 3rd harmonic 0.037A, 5th harmonic 0.011A, 7th harmonic 0.015A, 9th harmonic 0.0085A, 11th harmonic 0.0028A, 13th harmonic 0.004A, 3rd harmonic content 3.5%, 5th harmonic content 1.04%, 7th harmonic content 1.36%, 9th harmonic content 0.8%, 11th harmonic content 0.26%, 13th harmonic content 0.38%, total harmonic distortion 5.4.

[0134] Rice cooker: 3rd harmonic 0.056A, 5th harmonic 0.018A, 7th harmonic 0.015A, 9th harmonic 0.015A, 11th harmonic 0.0077A, 13th harmonic 0.0077A, 3rd harmonic content 2.4%, 5th harmonic content 0.78%, 7th harmonic content 0.62%, 9th harmonic content 0.64%, 11th harmonic content 0.33%, 13th harmonic content 0.32%, total harmonic distortion 2.6.

[0135] Induction cooker: 3rd harmonic 0.14A, 5th harmonic 0.042A, 7th harmonic 0.033A, 9th harmonic 0.046A, 11th harmonic 0.034A, 13th harmonic 0.028A, 3rd harmonic content 2.93%, 5th harmonic content 0.87%, 7th harmonic content 0.68%, 9th harmonic content 0.97%, 11th harmonic content 0.71%, 13th harmonic content 0.59%, total harmonic distortion rate 3.7.

[0136] Microwave oven: 3rd harmonic 1.7A, 5th harmonic 0.73A, 7th harmonic 0.23A, 9th harmonic 0.14A, 11th harmonic 0.074A, 13th harmonic 0.056A, 3rd harmonic content 31.81%, 5th harmonic content 13.55%, 7th harmonic content 4.77%, 9th harmonic content 2.55%, 11th harmonic content 1.37%, 13th harmonic content 1.04%, total harmonic distortion 35.7.

[0137] Step 208: Determine whether an abnormality occurs in the line corresponding to the transmission line to be determined based on the target power data and the rated power data corresponding to the target detection electrical equipment.

[0138] Further, the target power data includes target current data, and the rated power data includes rated current data. Step 208 may include the following sub-steps:

[0139] Step S41 : Compare the target current data with the rated current data.

[0140] In the embodiment of the present invention, the target current data is compared with the rated current data corresponding to the target detection electrical equipment.

[0141] Step S42: If the target current data is consistent with the rated current data, it is determined that no abnormality occurs in the line corresponding to the transmission line to be determined.

[0142] Step S43: If the target current data is inconsistent with the rated current data, it is determined that an abnormality occurs in the line corresponding to the transmission line to be determined.

[0143] The target power data also includes: target voltage data and target power data, and the rated power data also includes: rated voltage data and rated power data;

[0144] or

[0145] Compare the target voltage data with the rated voltage data.

[0146] In the embodiment of the present invention, the target voltage data is compared with the rated voltage data corresponding to the target detection electrical equipment.

[0147] If the target voltage data is consistent with the rated voltage data, it is determined that no abnormality occurs in the line corresponding to the transmission line to be determined.

[0148] If the target voltage data is inconsistent with the rated voltage data, it is determined that an abnormality occurs in the line corresponding to the transmission line to be determined.

[0149] or

[0150] Compare the target power data with the rated power data.

[0151] In the embodiment of the present invention, the target power data is compared with the rated power data corresponding to the target detection electrical equipment.

[0152] If the target power data is consistent with the rated power data, it is determined that no abnormality occurs in the line corresponding to the transmission line to be determined.

[0153] If the target power data is inconsistent with the rated power data, it is determined that an abnormality occurs in the line corresponding to the transmission line to be determined.

[0154] In an embodiment of the invention, when information about abnormal power data on a line node sent by an abnormal power consumption detection device is received, the node abnormal information is read, the transmission line to which the node abnormal information belongs is obtained as the transmission line to be judged, the effective value data of the current, season data, regional data, time data and current data corresponding to the transmission line are obtained, the low-frequency feature standard database is retrieved according to the low-frequency feature data on the transmission line, the initial low-frequency power equipment under the corresponding low-frequency feature data is matched, the preset feature key-value pair database is input according to the event feature data, the corresponding key value is matched and output, the power equipment corresponding to the key value is matched, and the power equipment consistent with the initial low-frequency power equipment is selected as the intermediate detection power equipment, the detection high-frequency feature data corresponding to the target power data is compared with the target high-frequency feature data corresponding to the intermediate detection power equipment, the target detection power equipment is determined according to the comparison result, and the detected The target power data is compared with the rated power data corresponding to the target detection power-consuming equipment, and the target current data is compared with the rated current data. If the target current data is inconsistent with the rated current data, it is determined that the line corresponding to the transmission line to be judged is abnormal; the existing transmission line detection method, which is usually through manual patrol, requires a lot of manpower and material resources and is inefficient, and cannot quickly determine the technical problem of abnormal transmission lines; the present invention is based on the rural power grid, and sets power consumption abnormality equipment according to the strategy of one main and multiple branches. At the same time, the low-frequency characteristics, event characteristics and high-frequency characteristic data of the current are used, and then the duration data is added to establish a composite key, and a corresponding database is established. The target power equipment is determined through multiple screening, which improves the accuracy, accurately determines the power equipment used by the user, and quickly determines whether the connected transmission line has abnormal power consumption according to the actual power consumption of the power equipment.

[0155] See also Figure 3 , Figure 3 This is a structural block diagram of a power transmission line anomaly detection system provided in Embodiment 3 of the present invention.

[0156] The present invention provides a power transmission line anomaly detection system, which involves multiple power consumption anomaly detection devices, including:

[0157] The line selection module 301 is used to select the transmission line to which the node abnormality information belongs as the transmission line to be determined when receiving the node abnormality information sent by the power consumption abnormality detection device.

[0158] The data acquisition module 302 is used to acquire low-frequency characteristic data, event characteristic data and target power data corresponding to the transmission line to be determined.

[0159] The initial low-frequency electrical equipment acquisition module 303 is used to search a preset low-frequency characteristic standard database according to the low-frequency characteristic data to determine a plurality of initial low-frequency electrical equipment.

[0160] The intermediate detection power-consuming device acquisition module 304 is used to search the preset feature key-value pair database according to the event feature data, and match the power-consuming device consistent with the initial low-frequency power-consuming device as the intermediate detection power-consuming device.

[0161] The target detection power equipment acquisition module 305 is used to calculate the detection high-frequency characteristic data corresponding to the target power data, and determine the target detection power equipment based on the detection high-frequency characteristic data and the target high-frequency characteristic data corresponding to the intermediate detection power equipment.

[0162] The judgment module 306 is used to determine whether an abnormality occurs in the line corresponding to the transmission line to be judged according to the target power data and the rated power data corresponding to the target detection electrical equipment.

[0163] Furthermore, the initial low-frequency electrical equipment acquisition module 303 includes:

[0164] The target current difference acquisition submodule is used to calculate the target current difference between the effective current values ​​of adjacent cycles.

[0165] The target power acquisition submodule is used to calculate the multiplication value between the target current difference and the preset target voltage to obtain the corresponding target power.

[0166] The standard power range acquisition submodule is used to search a preset low-frequency feature standard database according to the target power to determine the standard power range in which the target power is located.

[0167] The association submodule is used to determine multiple electrical devices associated with the standard power range as initial low-frequency electrical devices.

[0168] Furthermore, the event characteristic data includes season data, region data and time data corresponding to the power transmission line to be determined, and the intermediate detection power consumption equipment acquisition module 304 includes:

[0169] The first composite key generation submodule is used to generate a corresponding composite key using season data, region data and time data.

[0170] The matching submodule is used to input the composite key into a preset feature key-value pair database to match multiple corresponding initial detection electrical devices.

[0171] The selection submodule is used to select the initial detection electrical equipment that is consistent with the initial low-frequency electrical equipment as the target detection electrical equipment.

[0172] Furthermore, event feature data also includes duration data, including:

[0173] The second composite key generation submodule is used to add the duration data to the composite key as a new composite key.

[0174] Furthermore, the target detection electric device acquisition module 305 includes:

[0175] The detection high-frequency characteristic data acquisition submodule is used to calculate the detection high-frequency characteristic data corresponding to the target power data.

[0176] The target high-frequency characteristic data acquisition submodule is used to obtain the target high-frequency characteristic data corresponding to the target detection electrical equipment.

[0177] The determination submodule is used to compare the detection high-frequency feature data with the target high-frequency feature data, and determine the target detection electrical equipment according to the comparison result.

[0178] Further, detecting high-frequency characteristic data includes detecting current harmonics, detecting harmonic content rate and detecting total harmonic distortion rate, target high-frequency characteristic data includes target current harmonics, target harmonic content rate and target total harmonic distortion rate, and determining submodules include:

[0179] The first information processing subunit is used to compare the detected current harmonics with the target current harmonics.

[0180] The second information processing subunit is used to determine the electrical device as a target detection electrical device if the detection current harmonic is consistent with the target current harmonic.

[0181] The third information processing subunit is used to compare the detected harmonic content rate with the target harmonic content rate if the detected current harmonic is inconsistent with the target current harmonic.

[0182] The fourth information processing sub-unit is used to determine the electrical equipment as the target detection electrical equipment if the detected harmonic content rate is consistent with the target harmonic content rate.

[0183] The fifth information processing subunit is used to compare the detected harmonic total distortion rate with the target harmonic total distortion rate if the detected harmonic content rate is inconsistent with the target harmonic content rate.

[0184] The sixth information processing subunit is used to determine the electrical equipment as the target detection electrical equipment if the detected total harmonic distortion rate is consistent with the target total harmonic distortion rate.

[0185] Further, the target power data includes target current data, the rated power data includes rated current data, and the judgment module 306 includes:

[0186] The first comparison submodule is used to compare the target current data with the rated current data.

[0187] The first judgment submodule is used to determine that no abnormality occurs in the line corresponding to the transmission line to be judged if the target current data is consistent with the rated current data.

[0188] The second judgment submodule is used to determine that an abnormality occurs in the line corresponding to the transmission line to be judged if the target current data is inconsistent with the rated current data.

[0189] In an embodiment of the invention, when information about abnormal power data on a line node sent by an abnormal power consumption detection device is received, the node abnormal information is read, the transmission line to which the node abnormal information belongs is obtained as the transmission line to be judged, the effective value data of the current, season data, regional data, time data and current data corresponding to the transmission line are obtained, the low-frequency feature standard database is retrieved according to the low-frequency feature data on the transmission line, the initial low-frequency power equipment under the corresponding low-frequency feature data is matched, the preset feature key-value pair database is input according to the event feature data, the corresponding key value is matched and output, the power equipment corresponding to the key value is matched, and the power equipment consistent with the initial low-frequency power equipment is selected as the intermediate detection power equipment, the detection high-frequency feature data corresponding to the target power data is compared with the target high-frequency feature data corresponding to the intermediate detection power equipment, the target detection power equipment is determined according to the comparison result, and the detected The target power data is compared with the rated power data corresponding to the target detection power-consuming equipment, and the target current data is compared with the rated current data. If the target current data is inconsistent with the rated current data, it is determined that the line corresponding to the transmission line to be judged is abnormal; the existing transmission line detection method, which is usually through manual patrol, requires a lot of manpower and material resources and is inefficient, and cannot quickly determine the technical problem of abnormal transmission lines; the present invention is based on the rural power grid, and sets power consumption abnormality equipment according to the strategy of one main and multiple branches. At the same time, the low-frequency characteristics, event characteristics and high-frequency characteristic data of the current are used, and then the duration data is added to establish a composite key, and a corresponding database is established. The target power equipment is determined through multiple screening, which improves the accuracy, accurately determines the power equipment used by the user, and quickly determines whether the connected transmission line has abnormal power consumption according to the actual power consumption of the power equipment.

[0190] An electronic device according to an embodiment of the present invention includes: a memory and a processor, wherein a computer program is stored in the memory; when the computer program is executed by the processor, the processor executes a power transmission line abnormality detection method according to any of the above embodiments.

[0191] The memory can be an electronic memory such as a flash memory, an EEPROM (electrically erasable programmable read-only memory), an EPROM, a hard disk or a ROM. The memory has a storage space for a program code for executing any method step in the above method. For example, the storage space for the program code can include individual program codes for implementing the various steps in the above method respectively. These program codes can be read from or written to one or more computer program products. These computer program products include program code carriers such as a hard disk, a compact disk (CD), a memory card or a floppy disk. The program code can be compressed, for example, in an appropriate form. These codes, when run by a computing processing device, cause the computing processing device to perform the various steps in the method described above.

[0192] An embodiment of the present invention provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed, a method for detecting abnormalities in a power transmission line according to any embodiment of the present invention is implemented.

[0193] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0194] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0195] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0196] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0197] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.

[0198] As described above, the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features thereof may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for detecting abnormality in a power transmission line, characterized in that: Involving multiple power consumption anomaly detection devices, including: When receiving the node abnormality information sent by the power consumption abnormality detection device, selecting the transmission line to which the node abnormality information belongs as the transmission line to be determined; Acquire low-frequency characteristic data, event characteristic data and target power data corresponding to the transmission line to be judged; According to the low-frequency characteristic data, a preset low-frequency characteristic standard database is retrieved to determine a plurality of initial low-frequency electrical equipment; The low-frequency characteristic data includes a plurality of periodically acquired current effective values, and the step of retrieving a preset low-frequency characteristic standard database according to the low-frequency characteristic data to determine a plurality of initial low-frequency electrical devices includes: Calculating a target current difference between the current effective values ​​of adjacent cycles; Calculating the multiplication value between the target current difference and the preset target voltage to obtain the corresponding target power; According to the target power, a preset low-frequency characteristic standard database is searched to determine the standard power range in which the target power is located; Determining a plurality of electrical devices associated with the standard power range as initial low-frequency electrical devices; According to the event feature data, a preset feature key-value pair database is retrieved to match the power-consuming device consistent with the initial low-frequency power-consuming device as the intermediate detection power-consuming device; The event characteristic data includes season data, region data and time data corresponding to the power transmission line to be determined, and the step of searching a preset characteristic key-value pair database according to the event characteristic data and matching a power consumer consistent with the initial low-frequency power consumer as an intermediate detection power consumer includes: Using the season data, the region data and the time data, a corresponding composite key is generated; Inputting the composite key into a preset feature key-value pair database to match a plurality of corresponding initial detection electrical devices; Selecting the initial detection electrical equipment that is consistent with the initial low-frequency electrical equipment as the intermediate detection electrical equipment; Calculating detection high-frequency characteristic data corresponding to the target power data, and determining a target detection electrical device based on the detection high-frequency characteristic data and the target high-frequency characteristic data corresponding to the intermediate detection electrical device; According to the target power data and the rated power data corresponding to the target detection electrical equipment, it is determined whether an abnormality occurs in the line corresponding to the transmission line to be determined.

2. The power transmission line abnormality detection method according to claim 1, characterized in that: The event feature data also includes duration data. After the step of using the season data, the region data and the time data to generate a corresponding composite key, the method includes: The duration data is added to the composite key as a new composite key.

3. The power transmission line abnormality detection method according to claim 1, characterized in that: The step of calculating the detection high-frequency characteristic data corresponding to the target power data, and determining the target detection electrical device based on the detection high-frequency characteristic data and the target high-frequency characteristic data corresponding to the intermediate detection electrical device, includes: Calculating detection high-frequency characteristic data corresponding to the target power data; Obtain target high-frequency characteristic data corresponding to the intermediate detection electrical equipment; The detection high-frequency characteristic data is compared with the target high-frequency characteristic data, and the target detection electrical equipment is determined according to the comparison result.

4. The method for detecting abnormality of a power transmission line according to claim 3, characterized in that: The detecting high-frequency characteristic data includes detecting current harmonics, detecting harmonic content and detecting total harmonic distortion rate, the target high-frequency characteristic data includes target current harmonics, target harmonic content and target total harmonic distortion rate, and the step of comparing the detecting high-frequency characteristic data with the target high-frequency characteristic data and determining the target detection electrical equipment according to the comparison result includes: comparing the detected current harmonics with the target current harmonics; If the detection current harmonic is consistent with the target current harmonic, the electrical device is determined as the target detection electrical device; If the detected current harmonic is inconsistent with the target current harmonic, comparing the detected harmonic content with the target harmonic content; If the detected harmonic content rate is consistent with the target harmonic content rate, the electrical equipment is determined as the target detected electrical equipment; If the detected harmonic content rate is inconsistent with the target harmonic content rate, comparing the detected harmonic total distortion rate with the target harmonic total distortion rate; If the detected total harmonic distortion rate is consistent with the target total harmonic distortion rate, the electrical equipment is determined as the target detection electrical equipment.

5. The power transmission line abnormality detection method according to claim 1, characterized in that: The target power data includes target current data, the rated power data includes rated current data, and the step of determining whether an abnormality occurs in the line corresponding to the to-be-determined power transmission line according to the target power data and the rated power data corresponding to the target detection electrical equipment comprises: comparing the target current data with the rated current data; If the target current data is consistent with the rated current data, it is determined that no abnormality occurs in the line corresponding to the transmission line to be determined; If the target current data is inconsistent with the rated current data, it is determined that an abnormality occurs in the line corresponding to the transmission line to be determined.

6. A power transmission line anomaly detection system, characterized in that: Involving multiple power consumption anomaly detection devices, including: A line selection module, configured to select, when receiving node abnormality information sent by the power consumption abnormality detection device, a transmission line to which the node abnormality information belongs as a transmission line to be determined; A data acquisition module, used to acquire low-frequency characteristic data, event characteristic data and target power data corresponding to the transmission line to be judged; An initial low-frequency electrical equipment acquisition module is used to retrieve a preset low-frequency characteristic standard database according to the low-frequency characteristic data to determine a plurality of initial low-frequency electrical equipment; The low-frequency characteristic data includes a plurality of periodically acquired current effective values, and the initial low-frequency electrical equipment acquisition module includes: A target current difference acquisition submodule, used for calculating a target current difference between the current effective values ​​of adjacent cycles; A target power acquisition submodule, used to calculate the multiplication value between the target current difference and the preset target voltage to obtain the corresponding target power; A standard power range acquisition submodule is used to search a preset low-frequency feature standard database according to the target power to determine the standard power range in which the target power is located; An association submodule, used to determine a plurality of electrical devices associated with the standard power range as initial low-frequency electrical devices; An intermediate detection power-consuming device acquisition module is used to search a preset feature key-value pair database according to the event feature data, and match a power-consuming device consistent with the initial low-frequency power-consuming device as an intermediate detection power-consuming device; The event characteristic data includes season data, region data and time data corresponding to the power transmission line to be determined, and the intermediate detection power equipment acquisition module includes: A first composite key generation submodule, used to generate a corresponding composite key using the season data, the region data and the time data; A matching submodule, used for inputting the composite key into a preset feature key-value pair database to match a plurality of corresponding initial detection electrical devices; A selection submodule, used to select the initial detection electrical equipment that is consistent with the initial low-frequency electrical equipment as the intermediate detection electrical equipment; A target detection electrical equipment acquisition module, used to calculate the detection high-frequency characteristic data corresponding to the target power data, and determine the target detection electrical equipment based on the detection high-frequency characteristic data and the target high-frequency characteristic data corresponding to the intermediate detection electrical equipment; The judgment module is used to determine whether an abnormality occurs in the line corresponding to the transmission line to be judged based on the target power data and the rated power data corresponding to the target detection electrical equipment.

7. An electronic device, characterized in that: It comprises a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the steps of the power transmission line abnormality detection method according to any one of claims 1 to 5.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed, the power transmission line abnormality detection method according to any one of claims 1 to 5 is implemented.

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