A Hidden Danger Early Warning Method and System for Distribution Lines

Abstract

The present invention discloses a hidden danger warning method and system for a distribution line, which receives first monitoring data corresponding to a collection and monitoring strategy uploaded by each electric energy meter, determines whether there is an over-limit event currently based on the temperature of the first microcontroller unit therein. If so, adjusts the collection and monitoring strategy based on the over-limit event, and sends the adjusted collection and monitoring strategy to the electric energy meter, receives second monitoring data corresponding to the adjusted collection and monitoring strategy, calculates the impedance median value, the microcontroller unit temperature median value, and the microcontroller unit temperature rise change rate based on the second voltage, the second current, and the second microcontroller unit temperature in the second monitoring data, and determines whether there is a fault hidden danger in the electric energy meter based on the impedance median value, the microcontroller unit temperature median value, and the microcontroller unit temperature rise change rate. If so, generates a fault hidden danger warning information, which can effectively obtain abnormal fluctuation data of voltage and current, is more accurate and reliable, and thus improves the accuracy of the warning.

Description

Technical Field

[0001] The present invention relates to the technical field of electric energy metering and collection, and in particular to a method and system for early warning of hidden dangers of power distribution lines. Background Art

[0002] The hidden danger of low-voltage power supply line failure is a problem that has long plagued on-site operation and maintenance. Currently, the hidden danger of low-voltage power supply line failure is usually discovered and repaired only when it causes power outages or complaints after the failure occurs, and the hidden danger of failure is handled belatedly.

[0003] In terms of online monitoring of relevant data, the existing method provides an online early warning method for low-voltage power supply line end faults. By analyzing the voltage, current and phase curve data of 96 samples of the electric energy meter per day, combined with Kirchhoff's voltage and current law and multivariate linear regression analysis, a low-voltage power supply line impedance calculation model is established. When the line impedance exceeds the threshold, on-site inspection and maintenance are carried out.

[0004] The problems with the existing low-voltage power supply line fault hidden danger warning method are: using data analysis to achieve low-voltage power supply line end fault hidden danger warning, this method has high requirements on data quality, the voltage and current data are closely related to the user's power load, when the user's power load is not large, it is impossible to regress a more accurate impedance value, at the same time, the impedance value regression through multivariate linear regression is not sensitive enough to abnormal data, the abnormal fluctuation data of voltage and current cannot obtain effective information, resulting in impedance anomaly missed. Summary of the invention

[0005] The technical problem to be solved by the present invention is to provide a method and system for early warning of hidden dangers in power distribution lines, which can improve the accuracy of early warning.

[0006] In order to solve the above technical problems, a technical solution adopted by the present invention is:

[0007] A method for early warning of hidden dangers of power distribution lines, comprising the steps of:

[0008] Send the collection and monitoring strategy to multiple electricity meters;

[0009] Receiving first monitoring data corresponding to the acquisition monitoring strategy uploaded by each of the electric energy meters, wherein the first monitoring data includes a temperature of a first microcontroller unit of the electric energy meter;

[0010] Determine whether there is an over-limit event based on the temperature of the first microcontroller unit, and if so, adjust the acquisition monitoring strategy based on the over-limit event, and send the adjusted acquisition monitoring strategy to the electric energy meter;

[0011] Receiving second monitoring data corresponding to the adjusted acquisition and monitoring strategy uploaded by each of the electricity meters, where the second monitoring data includes the second voltage, second current, and second microcontroller unit temperature of the electricity meter;

[0012] Calculating the impedance median value, microcontroller unit temperature median value, and microcontroller unit temperature rise change rate based on the second voltage, second current, and second microcontroller unit temperature, and determining whether there are potential fault hazards in the electricity meter based on the impedance median value, microcontroller unit temperature median value, and microcontroller unit temperature rise change rate. If so, generating a potential fault hazard warning message.

[0013] To solve the above technical problems, another technical solution adopted by the present invention is:

[0014] A hidden danger warning system for a distribution line, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the computer program, the following steps are implemented:

[0015] Issuing an acquisition and monitoring strategy to multiple electricity meters;

[0016] Receiving first monitoring data corresponding to the acquisition and monitoring strategy uploaded by each of the electricity meters, where the first monitoring data includes the first microcontroller unit temperature of the electricity meter;

[0017] Determining whether there is an over-limit event currently based on the first microcontroller unit temperature. If so, adjusting the acquisition and monitoring strategy based on the over-limit event and issuing the adjusted acquisition and monitoring strategy to the electricity meter;

[0018] Receiving second monitoring data corresponding to the adjusted acquisition and monitoring strategy uploaded by each of the electricity meters, where the second monitoring data includes the second voltage, second current, and second microcontroller unit temperature of the electricity meter;

[0019] Calculating the impedance median value, microcontroller unit temperature median value, and microcontroller unit temperature rise change rate based on the second voltage, second current, and second microcontroller unit temperature, and determining whether there are potential fault hazards in the electricity meter based on the impedance median value, microcontroller unit temperature median value, and microcontroller unit temperature rise change rate. If so, generating a potential fault hazard warning message.

[0020] The beneficial effects of the present invention are as follows: receiving the first monitoring data corresponding to the acquisition and monitoring strategy uploaded by each electricity meter, determining whether there is an over-limit event currently based on the temperature of the first microcontroller unit therein, if so, adjusting the acquisition and monitoring strategy based on the over-limit event, and sending the adjusted acquisition and monitoring strategy to the electricity meter, receiving the second monitoring data corresponding to the adjusted acquisition and monitoring strategy uploaded by each electricity meter, calculating the impedance median value, the microcontroller unit temperature median value, and the microcontroller unit temperature rise change rate based on the second voltage, the second current, and the second microcontroller unit temperature in the second monitoring data, and determining whether there is a potential fault in the electricity meter based on the impedance median value, the microcontroller unit temperature median value, and the microcontroller unit temperature rise change rate, if so, generating a potential fault warning message, being able to adjust the acquisition and monitoring strategy in a timely manner after detecting an over-limit event, effectively obtaining abnormal fluctuation data of voltage and current, comprehensively determining whether there is a potential fault in the electricity meter based on the impedance median value, the microcontroller unit temperature median value, and the microcontroller unit temperature rise change rate, being more accurate and reliable, thereby improving the accuracy of the warning. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 is a flowchart of the steps of a method for warning potential hazards in a distribution line according to an embodiment of the present invention;

[0022] Figure 2 is a schematic structural diagram of a system for warning potential hazards in a distribution line according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0023] To describe the technical content, the achieved objectives, and the effects of the present invention in detail, the following is described in conjunction with the embodiments and with reference to the accompanying drawings.

[0024] Please refer to Figure 1 , a method for warning potential hazards in a distribution line, includes the steps:

[0025] Sending the acquisition and monitoring strategy to multiple electricity meters;

[0026] Receiving the first monitoring data corresponding to the acquisition and monitoring strategy uploaded by each of the electricity meters, the first monitoring data including the temperature of the first microcontroller unit of the electricity meter;

[0027] Determining whether there is an over-limit event currently based on the temperature of the first microcontroller unit, if so, adjusting the acquisition and monitoring strategy based on the over-limit event, and sending the adjusted acquisition and monitoring strategy to the electricity meter;

[0028] Receiving the second monitoring data corresponding to the adjusted acquisition and monitoring strategy uploaded by each of the electricity meters, the second monitoring data including the second voltage, the second current, and the second microcontroller unit temperature of the electricity meter;

[0029] Calculate the impedance median value, the microcontroller unit temperature median value, and the microcontroller unit temperature rise change rate based on the second voltage, the second current, and the second microcontroller unit temperature, and determine whether there is a potential fault in the electricity meter based on the impedance median value, the microcontroller unit temperature median value, and the microcontroller unit temperature rise change rate. If so, generate a potential fault warning message.

[0030] As can be seen from the above description, the beneficial effects of the present invention are as follows: Receive the first monitoring data corresponding to the acquisition monitoring strategy uploaded by each electricity meter, determine whether there is an over-limit event currently based on the temperature of the first microcontroller unit therein. If so, adjust the acquisition monitoring strategy based on the over-limit event, and send the adjusted acquisition monitoring strategy to the electricity meter. Receive the second monitoring data corresponding to the adjusted acquisition monitoring strategy uploaded by each electricity meter, calculate the impedance median value, the microcontroller unit temperature median value, and the microcontroller unit temperature rise change rate based on the second voltage, the second current, and the second microcontroller unit temperature in the second monitoring data, and determine whether there is a potential fault in the electricity meter based on the impedance median value, the microcontroller unit temperature median value, and the microcontroller unit temperature rise change rate. If so, generate a potential fault warning message, which can adjust the acquisition monitoring strategy in time after detecting an over-limit event, effectively obtain the abnormal fluctuation data of voltage and current, and comprehensively determine whether there is a potential fault in the electricity meter based on the impedance median value, the microcontroller unit temperature median value, and the microcontroller unit temperature rise change rate, which is more accurate and reliable, thereby improving the accuracy of the warning.

[0031] Further, the acquisition monitoring strategy includes an acquisition period, a first preset value, and a second preset value;

[0032] The step of determining whether there is an over-limit event currently based on the temperature of the first microcontroller unit, and if so, adjusting the acquisition monitoring strategy based on the over-limit event and sending the adjusted acquisition monitoring strategy to the electricity meter includes:

[0033] Calculate the temperature change amount based on the first temperature of the first microcontroller unit and the last temperature of the first microcontroller unit within the acquisition period;

[0034] Determine whether the temperature change amount is greater than the first preset value, or whether any first microcontroller unit temperature within the acquisition period is greater than the second preset value. If so, determine that there is an over-limit event currently, adjust the acquisition monitoring strategy based on the over-limit event, and send the adjusted acquisition monitoring strategy to the electricity meter.

[0035] From the above description, it can be seen that, in general, it is first determined whether the temperature change of the microcontroller unit of the electric energy meter is greater than the preset value, or whether the temperature of any microcontroller unit is greater than the preset value. If it is greater, it is determined that there is an out-of-limit event, indicating that the electric energy meter is very likely to have an abnormality. At this time, the collection and monitoring strategy is adjusted to ensure that no abnormal data is missed.

[0036] Further, the calculating the temperature variation according to the first first microcontroller unit temperature and the last first microcontroller unit temperature in the acquisition period comprises:

[0037] ;

[0038] In the formula, represents the temperature change, T ij Indicates i The last first microcontroller unit temperature of an electric energy meter in the acquisition cycle, T i1 Indicates i The first microcontroller unit temperature of an electric energy meter within the collection period.

[0039] From the above description, we can see that i The last first microcontroller unit temperature of an electric energy meter in the acquisition cycle and the i The temperature change of the first microcontroller unit of an electric energy meter within the acquisition period is calculated, which can accurately determine the temperature change trend and amplitude of the microcontroller unit within the period, so as to accurately determine whether there is an over-limit event.

[0040] Further, the calculating of the impedance median value, the microcontroller unit temperature median value and the microcontroller unit temperature rise rate based on the second voltage, the second current and the second microcontroller unit temperature includes:

[0041] calculating an impedance value according to the second voltage and the second current;

[0042] Determining a median impedance value from all of the impedance values within the acquisition period;

[0043] Determine a median value of the micro control unit temperature according to the second micro control unit temperature;

[0044] The temperature rise rate of the micro control unit is calculated according to the temperature of the second micro control unit.

[0045] It can be seen from the above description that by calculating the median value of impedance and the median value of temperature of the microcontroller unit, the influence of abnormal values on the calculation results can be effectively reduced, thereby improving the reliability of the calculation results.

[0046] Further, the first monitoring data further includes the first voltage and the first current of the electricity meter;

[0047] Calculating the impedance value according to the second voltage and the second current includes:

[0048] ;

[0049] In the formula, R ij represents the i th impedance value of the j th electricity meter within the acquisition period, represents the voltage change value before and after triggering the over-limit event, represents the current change value before and after triggering the over-limit event, U ij represents the first voltage when triggering the over-limit event, I ij represents the first current when triggering the over-limit event, U i(j-1) represents the voltage at the previous sampling point when triggering the over-limit event, I i(j-1) represents the current at the previous sampling point when triggering the over-limit event.

[0050] As can be seen from the above description, calculating the impedance value is beneficial for locating the hidden trouble position.

[0051] Further, calculating the temperature rise change rate of the microcontroller unit according to the second microcontroller unit temperature includes:

[0052] ;

[0053] In the formula, represents the temperature rise change rate of the microcontroller unit, T ij ' represents the last second microcontroller unit temperature of the i th electricity meter within the acquisition period, T i1 ' represents the first second microcontroller unit temperature of the i th electricity meter within the acquisition period.

[0054] As can be seen from the above description, calculating the temperature rise change rate of the microcontroller unit can facilitate more accurate fault hidden trouble monitoring of the electricity meter.

[0055] Further, judging whether there is a fault hidden trouble in the electricity meter based on the impedance median value, the microcontroller unit temperature median value, and the temperature rise change rate of the microcontroller unit, and if so, generating a fault hidden trouble warning message includes:

[0056] Select a normal electric energy meter in the same meter box as the said electric energy meter as the reference electric energy meter, and obtain the median value of the reference impedance, the median value of the temperature of the reference microcontroller unit, and the rate of change of the temperature rise of the reference microcontroller unit of the said reference electric energy meter;

[0057] Based on the median value of the impedance, the median value of the temperature of the microcontroller unit, the rate of change of the temperature rise of the microcontroller unit, the median value of the reference impedance, the median value of the temperature of the reference microcontroller unit, and the rate of change of the temperature rise of the reference microcontroller unit, determine whether there are potential fault hazards in the said electric energy meter. If so, generate a potential fault hazard warning message.

[0058] As can be seen from the above description, selecting a normal electric energy meter in the same meter box as the electric energy meter as the reference electric energy meter, and obtaining the relevant data of the reference electric energy meter to participate in the subsequent judgment of potential fault hazards of the electric energy meter, makes the potential fault hazard warning more in line with the actual situation and improves the reliability of the warning.

[0059] Further, the determining whether there are potential fault hazards in the said electric energy meter based on the median value of the impedance, the median value of the temperature of the microcontroller unit, the rate of change of the temperature rise of the microcontroller unit, the median value of the reference impedance, the median value of the temperature of the reference microcontroller unit, and the rate of change of the temperature rise of the reference microcontroller unit, and if so, generating a potential fault hazard warning message includes:

[0060] If the median value of the impedance is less than or equal to a third preset value, the median value of the reference impedance is less than or equal to the third preset value, and the median value of the temperature of the reference microcontroller unit is less than or equal to a fourth preset value, while the median value of the temperature of the microcontroller unit is greater than the fourth preset value, and the rate of change of the temperature rise of the microcontroller unit is several times that of the rate of change of the temperature rise of the reference microcontroller unit, then generate a first potential fault hazard warning message, and the first potential fault hazard warning message is the information that there are potential fault hazards on the outgoing line side or the body of the said electric energy meter;

[0061] If both the median value of the impedance and the median value of the reference impedance are less than or equal to the third preset value, the rate of change of the temperature rise of the microcontroller unit is approximately equal to the rate of change of the temperature rise of the reference microcontroller unit, and both the median value of the temperature of the microcontroller unit and the median value of the temperature of the reference microcontroller unit are greater than the fourth preset value, then generate a second potential fault hazard warning message, and the second potential fault hazard warning message is the information that there are potential fault hazards in the equipment other than the electric energy meter in the meter box where the said electric energy meter is located;

[0062] If the median value of the reference impedance is less than or equal to the third preset value and the median value of the reference microcontroller unit temperature is less than or equal to the fourth preset value, while the median value of the impedance is greater than the third preset value and the median value of the microcontroller unit temperature is greater than the fourth preset value, and the temperature rise change rate of the microcontroller unit is several times that of the reference microcontroller unit temperature rise change rate, then a third potential fault warning message is generated, and the third potential fault warning message is the information that there is a potential fault in the incoming line side of the electricity meter.

[0063] As can be seen from the above description, judging potential faults based on the median value of impedance, the median value of microcontroller unit temperature, the temperature rise change rate of the microcontroller unit, the median value of reference impedance, the median value of reference microcontroller unit temperature, and the temperature rise change rate of the reference microcontroller unit can not only accurately detect whether there are potential faults, but also locate whether there are problems with the line before the meter, the line after the meter, or other equipment problems in the meter box, effectively improving the accuracy and effectiveness of potential fault warnings.

[0064] Further, the acquisition and monitoring strategy further includes the acquisition frequency;

[0065] Adjusting the acquisition and monitoring strategy based on the out-of-limit event includes:

[0066] Reducing the acquisition period and the acquisition frequency based on the out-of-limit event.

[0067] As can be seen from the above description, reducing the acquisition period and the acquisition frequency based on the out-of-limit event makes the data acquisition more frequent, so as to improve the comprehensiveness of data acquisition, avoid missing abnormal data, and improve the accuracy of warnings.

[0068] Please refer to Figure 2 , another embodiment of the present invention provides a distribution line potential fault warning system, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the computer program, each step in the above distribution line potential fault warning method is implemented.

[0069] The above distribution line potential fault warning method and system of the present invention can be applied to the distribution line potential fault warning scenario, which will be described below through specific embodiments:

[0070] Please refer to Figure 1 , Embodiment 1 of the present invention is:

[0071] A distribution line potential fault warning method includes the steps of:

[0072] S1. Send the acquisition and monitoring strategy to multiple electricity meters.

[0073] Among them, the acquisition and monitoring strategy includes an acquisition period, an acquisition frequency, a first preset value, and a second preset value. The content of the acquisition and monitoring strategy can be flexibly set according to the actual situation. In an optional implementation manner, the acquisition and monitoring strategy may further include information such as a strategy name, a strategy type, a reading delay, a data storage count, a strategy function identifier, and a strategy allowed response count.

[0074] In an optional implementation manner, the acquisition and monitoring strategy is configured by the main station for collecting electricity information and sent to the acquisition terminal, and the acquisition terminal sends the acquisition and monitoring strategy to multiple electricity meters.

[0075] S2. Receive first monitoring data corresponding to the acquisition and monitoring strategy uploaded by each of the electricity meters. The first monitoring data includes the temperature of the first microcontroller unit (MCU) of the electricity meter, the first voltage, and the first current of the electricity meter.

[0076] S3. Based on the temperature of the first microcontroller unit, determine whether there is an over-limit event currently. If so, adjust the acquisition and monitoring strategy based on the over-limit event and send the adjusted acquisition and monitoring strategy to the electricity meter, which specifically includes S31 - S32:

[0077] S31. Calculate the temperature change amount according to the first temperature of the first microcontroller unit and the last temperature of the first microcontroller unit within the acquisition period, specifically:

[0078] ;

[0079] In the formula, represents the temperature change amount, T ij represents the i th electricity meter's last temperature of the first microcontroller unit within the acquisition period, T i1 represents the i th electricity meter's first temperature of the first microcontroller unit within the acquisition period.

[0080] S32. Determine whether the temperature change amount is greater than the first preset value, or whether any temperature of the first microcontroller unit within the acquisition period is greater than the second preset value. If so, determine that there is an over-limit event currently, adjust the acquisition and monitoring strategy based on the over-limit event, and send the adjusted acquisition and monitoring strategy to the electricity meter.

[0081] In an optional implementation manner, after determining that there is an over-limit event currently, it further includes:

[0082] Freeze the temperature of the first microcontroller unit, the first voltage, and the first current of the electricity meter corresponding to the over-limit event.

[0083] Among them, the adjustment of the acquisition and monitoring strategy based on the out-of-limit event includes:

[0084] Reducing the acquisition period and the acquisition frequency based on the out-of-limit event.

[0085] In an alternative embodiment, the adjustment of the acquisition and monitoring strategy based on the out-of-limit event further includes:

[0086] Reducing the first preset value and the second preset value to ensure a more comprehensive perception of the state of the electric energy meter.

[0087] S4. Receive the second monitoring data corresponding to the adjusted acquisition and monitoring strategy uploaded by each electric energy meter, where the second monitoring data includes the second voltage, the second current, and the temperature of the second microcontroller unit of the electric energy meter.

[0088] S5. Calculate the impedance median value, the median value of the microcontroller unit temperature, and the temperature rise change rate of the microcontroller unit based on the second voltage, the second current, and the temperature of the second microcontroller unit, and determine whether there are potential fault hazards in the electric energy meter based on the impedance median value, the median value of the microcontroller unit temperature, and the temperature rise change rate of the microcontroller unit. If so, generate a potential fault warning message, specifically including S51 - S56:

[0089] S51. Calculate the impedance value according to the second voltage and the second current, specifically:

[0090] ;

[0091] In the formula, R ij represents the i th impedance value of the j th electric energy meter within the acquisition period, represents the voltage change value before and after triggering the out-of-limit event, represents the current change value before and after triggering the out-of-limit event, U ij represents the first voltage when triggering the out-of-limit event, I ij represents the first current when triggering the out-of-limit event, U i(j-1) represents the voltage at the previous sampling point when triggering the out-of-limit event, I i(j-1) represents the current at the previous sampling point when triggering the out-of-limit event.

[0092] S52. Determine the impedance median value from all the impedance values within the acquisition period.

[0093] Specifically, determine the median value of all the impedance values within the acquisition period as the median impedance value.

[0094] S53. Determine the median value of the microcontroller unit temperature according to the temperature of the second microcontroller unit.

[0095] Specifically, determine the median value of all the temperatures of the second microcontroller units within the acquisition period as the median value of the microcontroller unit temperature.

[0096] S54. Calculate the temperature rise change rate of the microcontroller unit according to the temperature of the second microcontroller unit. Specifically:

[0097] ;

[0098] In the formula, represents the temperature rise change rate of the microcontroller unit, T ij ' represents the last temperature of the second microcontroller unit of the i th energy meter within the acquisition period, T i1 ' represents the first temperature of the second microcontroller unit of the i th energy meter within the acquisition period.

[0099] S55. Select a normal energy meter in the same meter box as the energy meter as the reference energy meter, and obtain the reference median impedance value, the reference median value of the microcontroller unit temperature, and the reference temperature rise change rate of the microcontroller unit of the reference energy meter.

[0100] S56. Based on the median impedance value, the median value of the microcontroller unit temperature, the temperature rise change rate of the microcontroller unit, the reference median impedance value, the reference median value of the microcontroller unit temperature, and the reference temperature rise change rate of the microcontroller unit, determine whether there are potential fault hazards in the energy meter. If so, generate a potential fault hazard warning message, which specifically includes S561 - S563:

[0101] S561. If the median impedance value is less than or equal to the third preset value, the reference median impedance value is less than or equal to the third preset value, and the reference median value of the microcontroller unit temperature is less than or equal to the fourth preset value, while the median value of the microcontroller unit temperature is greater than the fourth preset value, and the temperature rise change rate of the microcontroller unit is several times that of the reference temperature rise change rate of the microcontroller unit, then generate a first potential fault hazard warning message, and the first potential fault hazard warning message is the information that there are potential fault hazards on the outgoing line side or the body of the energy meter.

[0102] The temperature rise change rate of the microcontroller unit being several times that of the reference temperature rise change rate of the microcontroller unit ensures that the temperature rise change rate of the microcontroller unit is much greater than that of the reference temperature rise change rate of the microcontroller unit.

[0103] S562. If both the median impedance value and the reference median impedance value are less than or equal to the third preset value, and the temperature rise change rate of the microcontroller unit is approximately equal to the reference temperature rise change rate of the microcontroller unit, and both the median temperature value of the microcontroller unit and the reference median temperature value of the microcontroller unit are greater than the fourth preset value, then a second potential fault warning message is generated, and the second potential fault warning message is the information that there are potential faults in the equipment other than the electricity meter in the meter box where the electricity meter is located.

[0104] When the temperature rise change rate of the microcontroller unit is within the range of plus or minus 10% of the reference temperature rise change rate of the microcontroller unit, it can be considered approximately equal to the reference temperature rise change rate of the microcontroller unit.

[0105] S563. If the reference median impedance value is less than or equal to the third preset value and the reference median temperature value of the microcontroller unit is less than or equal to the fourth preset value, while the median impedance value is greater than the third preset value and the median temperature value of the microcontroller unit is greater than the fourth preset value, and the temperature rise change rate of the microcontroller unit is several times that of the reference temperature rise change rate of the microcontroller unit, then a third potential fault warning message is generated, and the third potential fault warning message is the information that there are potential faults on the incoming line side of the electricity meter.

[0106] Among them, the moment when the electricity meter in the case of S561 and the electricity meter in the case of S563 have a temperature rise will be ahead of the reference electricity meter, indicating that the temperature rise of other meters is caused by the heat conduction of the temperature rise of this electricity meter.

[0107] After generating the potential fault warning message, it can be dispatched to on-site personnel for on-site verification.

[0108] The above-mentioned method for warning potential faults in a distribution line of the present invention does not require adding equipment. Only through software program upgrade, it realizes the second-level monitoring application of the distribution network impedance. And the present invention can adaptively configure the acquisition and monitoring strategy, realizing the transformation of the line fault handling from post-treatment to pre-event and in-event online monitoring mode; when the change of temperature data is detected as abnormal, the relevant data will be frozen, and the line impedance information will be calculated synchronously, and the potential fault location and problems will be accurately warned by using the temperature information and impedance information, reducing the missed reports and false alarms of warning events, and improving the accuracy of locating potential faults in the distribution network.

[0109] Please refer to Figure 2 , the second embodiment of the present invention is:

[0110] A distribution line potential fault warning system, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the computer program, it realizes each step in the distribution line potential fault warning method in the first embodiment.

[0111] In summary, the present invention provides a hidden danger warning method and system for a distribution line, which receives first monitoring data corresponding to a collection and monitoring strategy uploaded by each electric energy meter, determines whether there is an over-limit event currently based on the temperature of the first microcontroller unit therein. If so, adjusts the collection and monitoring strategy based on the over-limit event, and sends the adjusted collection and monitoring strategy to the electric energy meter. Receives second monitoring data corresponding to the adjusted collection and monitoring strategy uploaded by each electric energy meter, calculates the impedance median value, the microcontroller unit temperature median value, and the microcontroller unit temperature rise change rate based on the second voltage, the second current, and the second microcontroller unit temperature in the second monitoring data, and determines whether there are potential faults in the electric energy meter based on the impedance median value, the microcontroller unit temperature median value, and the microcontroller unit temperature rise change rate. If so, generates a potential fault warning message. It can adjust the collection and monitoring strategy in a timely manner after detecting an over-limit event, effectively obtain abnormal fluctuation data of voltage and current, comprehensively determine whether there are potential faults in the electric energy meter based on the impedance median value, the microcontroller unit temperature median value, and the microcontroller unit temperature rise change rate, which is more accurate and reliable, thus improving the accuracy of the warning. In addition, judging potential faults based on the impedance median value, the microcontroller unit temperature median value, the microcontroller unit temperature rise change rate, the reference impedance median value, the reference microcontroller unit temperature median value, and the reference microcontroller unit temperature rise change rate can not only accurately detect whether there are potential faults, but also locate whether there is a problem with the line before the meter, the line after the meter, or other equipment problems in the meter box, effectively improving the accuracy and effectiveness of the potential fault warning. And reducing the collection period and collection frequency based on the over-limit event makes the data collection more frequent, so as to improve the comprehensiveness of data collection, avoid missing abnormal data, and improve the accuracy of the warning.

[0112] The above are only the embodiments of the present invention, and do not limit the patent scope of the present invention accordingly. Any equivalent transformation made by using the content of the specification and drawings of the present invention, or directly or indirectly applied in the relevant technical fields, shall be equally included in the patent protection scope of the present invention.

Claims

1. A hidden danger warning method for a distribution line, characterized in that, Including the steps: Issuing the acquisition and monitoring strategy to multiple electricity meters; Receiving first monitoring data corresponding to the acquisition and monitoring strategy uploaded by each of the electricity meters, where the first monitoring data includes the temperature of the first microcontroller unit of the electricity meter; Based on the temperature of the first microcontroller unit, determining whether there is an over-limit event currently. If so, adjusting the acquisition and monitoring strategy based on the over-limit event and issuing the adjusted acquisition and monitoring strategy to the electricity meter; Receiving second monitoring data corresponding to the adjusted acquisition and monitoring strategy uploaded by each of the electricity meters, where the second monitoring data includes the second voltage, second current, and second microcontroller unit temperature of the electricity meter; Calculating the median impedance value, median microcontroller unit temperature value, and microcontroller unit temperature rise change rate based on the second voltage, the second current, and the second microcontroller unit temperature, and determining whether there are potential fault hazards in the electricity meter based on the median impedance value, the median microcontroller unit temperature value, and the microcontroller unit temperature rise change rate. If so, generating a potential fault hazard warning message; The determining whether there are potential fault hazards in the electricity meter based on the median impedance value, the median microcontroller unit temperature value, and the microcontroller unit temperature rise change rate. If so, generating a potential fault hazard warning message includes: Selecting a normal electricity meter in the same meter box as the electricity meter as a reference electricity meter, and obtaining the reference median impedance value, reference median microcontroller unit temperature value, and reference microcontroller unit temperature rise change rate of the reference electricity meter; Determining whether there are potential fault hazards in the electricity meter based on the median impedance value, the median microcontroller unit temperature value, the microcontroller unit temperature rise change rate, the reference median impedance value, the reference median microcontroller unit temperature value, and the reference microcontroller unit temperature rise change rate. If so, generating a potential fault hazard warning message; The determining whether there are potential fault hazards in the electricity meter based on the median impedance value, the median microcontroller unit temperature value, the microcontroller unit temperature rise change rate, the reference median impedance value, the reference median microcontroller unit temperature value, and the reference microcontroller unit temperature rise change rate. If so, generating a potential fault hazard warning message includes: If the median impedance value is less than or equal to a third preset value, the reference median impedance value is less than or equal to the third preset value, and the reference median microcontroller unit temperature value is less than or equal to a fourth preset value, while the median microcontroller unit temperature value is greater than the fourth preset value, and the microcontroller unit temperature rise change rate is several times that of the reference microcontroller unit temperature rise change rate, then generating a first potential fault hazard warning message, where the first potential fault hazard warning message is information indicating that there are potential fault hazards on the outgoing line side or the body of the electricity meter; If both the median impedance value and the reference median impedance value are less than or equal to the third preset value, and the temperature rise change rate of the microcontroller unit is equal to the reference temperature rise change rate of the microcontroller unit, and both the median temperature value of the microcontroller unit and the reference median temperature value of the microcontroller unit are greater than the fourth preset value, then a second potential fault warning message is generated, where the second potential fault warning message is information indicating that there are potential faults in the equipment other than the electricity meter in the meter box where the electricity meter is located; If the reference median impedance value is less than or equal to the third preset value and the reference median temperature value of the microcontroller unit is less than or equal to the fourth preset value, while the median impedance value is greater than the third preset value and the median temperature value of the microcontroller unit is greater than the fourth preset value, and the temperature rise change rate of the microcontroller unit is several times that of the reference temperature rise change rate of the microcontroller unit, then a third potential fault warning message is generated, where the third potential fault warning message is information indicating that there are potential faults on the incoming line side of the electricity meter.

2. The hidden danger warning method for a power distribution line according to claim 1, characterized in that, The acquisition and monitoring strategy includes an acquisition period, a first preset value, and a second preset value; The method for determining whether there is an over-limit event currently based on the temperature of the first microcontroller unit, and if so, adjusting the acquisition and monitoring strategy based on the over-limit event and sending the adjusted acquisition and monitoring strategy to the electricity meter includes: Calculating the temperature change amount based on the first temperature of the first microcontroller unit and the last temperature of the first microcontroller unit within the acquisition period; Determining whether the temperature change amount is greater than the first preset value, or whether any temperature of the first microcontroller unit within the acquisition period is greater than the second preset value. If so, it is determined that there is an over-limit event currently, adjusting the acquisition and monitoring strategy based on the over-limit event, and sending the adjusted acquisition and monitoring strategy to the electricity meter.

3. The hidden danger warning method for a power distribution line according to claim 2, characterized in that The calculating the temperature change amount based on the first temperature of the first microcontroller unit and the last temperature of the first microcontroller unit within the acquisition period includes: ； Wherein, represents the temperature change amount, T ij represents the last first microcontroller unit temperature of the i th electricity meter within the acquisition period, T i1 represents the first first microcontroller unit temperature of the i th electricity meter within the acquisition period.

4. A hidden danger warning method for a distribution line according to claim 2, characterized in that, The calculating the median impedance value, the median temperature value of the microcontroller unit, and the temperature rise change rate of the microcontroller unit based on the second voltage, the second current, and the temperature of the second microcontroller unit includes: Calculating the impedance value according to the second voltage and the second current; Determining the median impedance value from all the impedance values within the acquisition period; Determining the median temperature value of the microcontroller unit according to the temperature of the second microcontroller unit; Calculating the temperature rise change rate of the microcontroller unit according to the temperature of the second microcontroller unit.

5. A hidden danger warning method for a power distribution line according to claim 4, characterized in that, The first monitoring data further includes the first voltage and the first current of the electricity meter; The calculating the impedance value according to the second voltage and the second current includes: ； Wherein, R ij represents the i th impedance value of the j th electricity meter within the acquisition period, represents the voltage change value before and after triggering the over-limit event, represents the current change value before and after triggering the over-limit event, U ij represents the first voltage at the time of triggering the over-limit event, I ij represents the first current at the time of triggering the over-limit event, U i(j-1) represents the voltage at the previous sampling point at the time of triggering the over-limit event, I i(j-1) represents the current at the previous sampling point at the time of triggering the over-limit event.

6. A hidden danger warning method for a distribution line according to claim 4, characterized in that, The calculating the temperature rise change rate of the microcontroller unit according to the temperature of the second microcontroller unit includes: ； Wherein, represents the temperature rise change rate of the microcontroller unit, T ij ' represents the i last temperature of the second microcontroller unit of the T i1 ' represents the i first temperature of the second microcontroller unit of the th electricity meter within the acquisition period.

7. A hidden danger warning method for a power distribution line according to claim 2, characterized in that, The acquisition and monitoring strategy further includes an acquisition frequency; The adjusting the acquisition and monitoring strategy based on the over-limit event includes: Reducing the acquisition period and the acquisition frequency based on the over-limit event.

8. A hidden danger early warning system for a distribution line, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements each step in the method for warning potential hazards in a distribution line according to any one of claims 1 to 7.

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