Power distribution line hidden danger early warning method and system

Abstract

The invention discloses a distribution line hidden danger early warning method and system, and the method comprises the steps: receiving first monitoring data corresponding to a collection monitoring strategy and uploaded by each electric energy meter, judging whether an out-of-limit event exists at present based on the temperature of a first microcontroller unit, if yes, adjusting the collection monitoring strategy based on the out-of-limit event, and if not, adjusting the collection monitoring strategy based on the out-of-limit event; the acquisition and monitoring strategy is adjusted, the adjusted acquisition and monitoring strategy is issued to the electric energy meter, second monitoring data corresponding to the adjusted acquisition and monitoring strategy is received, and an impedance median value, a micro-control unit temperature median value and a micro-control unit temperature rise change rate are calculated based on second voltage, second current and second micro-control unit temperature in the second monitoring data; and whether the electric energy meter has a fault hidden danger is judged based on the impedance median value, the temperature median value of the micro-control unit and the temperature rise change rate of the micro-control unit, and if yes, fault hidden danger early warning information is generated, so that abnormal fluctuation data of voltage and current can be effectively obtained, the method is more accurate and reliable, and the early warning accuracy is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of electric energy metering and collection, and particularly to a hidden danger early warning method and system for a distribution line. Background Art

[0002] Hidden dangers of low-voltage power supply line faults have long been a difficult problem troubling on-site operation and maintenance. Currently, hidden dangers of low-voltage power supply line faults are usually discovered and repaired only after power outages or complaints are caused after the hidden dangers of faults break out, and the handling of hidden dangers of faults is belated.

[0003] In terms of using online monitoring of relevant data, the existing method provides an online early warning method for faults at the end of a low-voltage power supply line. By analyzing the voltage, current, and phase curve data of 96 samples per day of an electric energy meter, combining Kirchhoff's voltage and current laws with multiple linear regression analysis, an impedance calculation model for a low-voltage power supply line is established. When the located line impedance exceeds the threshold, go to the site for verification and repair.

[0004] Problems of the existing hidden danger early warning method for low-voltage power supply line faults are as follows: Using data analysis methods to achieve early warning of hidden dangers of faults at the end of a low-voltage power supply line, this method has high requirements for data quality. Voltage and current data are closely related to the user's electricity load situation. When the user's electricity load is small, it is impossible to regress a relatively accurate impedance value. At the same time, when regressing the impedance value through multiple linear regression, the sensitivity to abnormal data is insufficient, and effective information acquisition cannot be obtained for abnormal fluctuation data of voltage and current, resulting in missed judgment of abnormal impedance. Summary of the Invention

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

[0006] In order to solve the above technical problem, a technical solution adopted by the present invention is: A hidden danger early warning method for a distribution line, comprising the steps of: Issuing a collection and monitoring strategy to a plurality of electric energy meters; Receiving first monitoring data corresponding to the collection and monitoring strategy uploaded by each of the electric energy meters, the first monitoring data including the temperature of the first microcontroller unit of the electric energy meter; Judging whether there is an over-limit event currently based on the temperature of the first microcontroller unit. If so, adjusting the collection and monitoring strategy based on the over-limit event, and issuing the adjusted collection and monitoring strategy to the electric energy meter; Receiving second monitoring data corresponding to the adjusted collection and monitoring strategy uploaded by each of the electric energy meters, the second monitoring data including the second voltage, second current, and second microcontroller unit temperature of the electric energy 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, and determine whether there are potential fault hazards 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 hazard warning message.

[0007] To solve the above technical problems, another technical solution adopted by the present invention is: A potential fault warning system for a distribution line includes 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: Send the acquisition monitoring strategy to multiple electricity meters; Receive the first monitoring data corresponding to the acquisition monitoring strategy uploaded by each of the electricity meters. The first monitoring data includes the first microcontroller unit temperature of the electricity meter; Based on the first microcontroller unit temperature, determine whether there is an overlimit event currently. If so, adjust the acquisition monitoring strategy based on the overlimit 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 of the electricity meters. The second monitoring data includes the second voltage, the second current, and the second microcontroller unit temperature of the 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, and determine whether there are potential fault hazards 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 hazard warning message.

[0008] 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 median impedance value, the median microcontroller unit temperature, 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 are potential faults in the electricity meter based on the median impedance value, the median microcontroller unit temperature, and the microcontroller unit temperature rise change rate. If so, generating a potential fault warning message, which can adjust the acquisition 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 electricity meter based on the median impedance value, the median microcontroller unit temperature, and the microcontroller unit temperature rise change rate, which is more accurate and reliable, thereby improving the accuracy of the warning. BRIEF DESCRIPTION OF THE DRAWINGS

[0009] Figure 1 It 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; Figure 2 It 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

[0010] To describe in detail the technical content, the achieved objectives, and the effects of the present invention, the following is described in conjunction with the embodiments and with reference to the drawings.

[0011] Please refer to Figure 1 , a method for warning potential hazards in a distribution line, including the steps: Sending the acquisition and monitoring strategy to multiple electricity meters; 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; 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; 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; Calculate the median impedance value, the median microcontroller unit temperature, 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 are potential fault hazards in the electricity meter based on the median impedance value, the median microcontroller unit temperature, and the microcontroller unit temperature rise change rate. If so, generate a potential fault hazard warning message.

[0012] 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 and 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 and monitoring strategy based on the over-limit event, and send the adjusted acquisition and monitoring strategy to the electricity meter. Receive the second monitoring data corresponding to the adjusted acquisition and monitoring strategy uploaded by each electricity meter, calculate the median impedance value, the median microcontroller unit temperature, 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 are potential fault hazards in the electricity meter based on the median impedance value, the median microcontroller unit temperature, and the microcontroller unit temperature rise change rate. If so, generate a potential fault hazard warning message. It can adjust the acquisition and monitoring strategy in a timely manner after detecting an over-limit event, effectively obtain abnormal fluctuation data of voltage and current, comprehensively judge whether there are potential fault hazards in the electricity meter based on the median impedance value, the median microcontroller unit temperature, and the microcontroller unit temperature rise change rate, which is more accurate and reliable, thus improving the accuracy of early warning.

[0013] Further, the acquisition and monitoring strategy includes an acquisition period, a first preset value, and a second preset value; 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 and monitoring strategy based on the over-limit event and sending the adjusted acquisition and monitoring strategy to the electricity meter includes: 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; Judge 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 and monitoring strategy based on the over-limit event, and send the adjusted acquisition and monitoring strategy to the electricity meter.

[0014] As can be seen from the above description, generally, first judge whether the temperature change amount of the microcontroller unit of the electricity meter is greater than the preset value, or whether any microcontroller unit temperature is greater than the preset value. If it is greater, it is determined that there is an over-limit event currently, indicating that the electricity meter is very likely to be abnormal. At this time, adjust the acquisition and monitoring strategy to ensure that no abnormal data is missed.

[0015] Further, the calculating of 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 collection period includes: ; In the formula, represents the temperature change amount, T ij represents the i last temperature of the first microcontroller unit of the T i1 th electricity meter within the collection period, i i1 represents the first temperature of the first microcontroller unit of the

[0016] th electricity meter within the collection period. i As can be seen from the above description, by calculating the temperature change amount based on the last temperature of the first microcontroller unit of the i th electricity meter and the first temperature of the first microcontroller unit of the th electricity meter within the collection period, the temperature change trend and amplitude of the microcontroller unit within this period can be accurately determined, which is convenient for accurately judging whether there is an over-limit event.

[0017] Further, the calculating of 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 includes: Calculating the impedance value according to the second voltage and the second current; Determining the impedance median value from all the impedance values within the collection period; Determining the microcontroller unit temperature median value according to the second microcontroller unit temperature; Calculating the microcontroller unit temperature rise change rate according to the second microcontroller unit temperature.

[0018] As can be seen from the above description, by calculating the impedance median value and the microcontroller unit temperature median value, the influence of outliers on the calculation result can be effectively reduced, and the reliability of the calculation result can be improved.

[0019] Further, the first monitoring data further includes the first voltage and the first current of the electricity meter; The calculating of the impedance value according to the second voltage and the second current includes: In the formula, R ij represents the i th impedance value of the j th electricity meter within the collection period, Indicates the voltage change value before and after the trigger of the over-limit event, Indicates the current change value before and after the trigger of the over-limit event, U ij Indicates the first voltage when the over-limit event is triggered, I ij Indicates the first current when the over-limit event is triggered, U i(j-1) Indicates the voltage at the previous sampling point when the over-limit event is triggered, I i(j-1) Indicates the current at the previous sampling point when the over-limit event is triggered.

[0020] As can be seen from the above description, calculating the impedance value is beneficial for locating potential hazard positions.

[0021] Further, the calculating the microcontroller unit temperature rise change rate according to the second microcontroller unit temperature includes: ; In the formula, Indicates the microcontroller unit temperature rise change rate, 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.

[0022] As can be seen from the above description, calculating the microcontroller unit temperature rise change rate can facilitate more accurate monitoring of potential faults in the electricity meter.

[0023] Further, the judging whether there are potential faults in the electricity meter based on the impedance median value, the microcontroller unit temperature median value, and the microcontroller unit temperature rise change rate, and if so, generating potential fault warning information includes: Select a normal electricity meter in the same meter box as the electricity meter as a reference electricity meter, and obtain the reference impedance median value, the reference microcontroller unit temperature median value, and the reference microcontroller unit temperature rise change rate of the reference electricity meter; 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, judge whether there are potential faults in the electricity meter, and if so, generate potential fault warning information.

[0024] As can be seen from the above description, a normal electricity meter in the same meter box as the electricity meter to be detected is selected as the reference electricity meter, and relevant data of the reference electricity meter are obtained to participate in the subsequent judgment of potential faults in the electricity meter, making the early warning of potential faults more in line with the actual situation and improving the reliability of the early warning.

[0025] Further, based on the median impedance, the median microcontroller unit temperature, the microcontroller unit temperature rise change rate, the reference median impedance, the reference microcontroller unit temperature median value, and the reference microcontroller unit temperature rise change rate, it is determined whether there are potential faults in the electricity meter. If so, the generated potential fault warning information includes: If the median impedance is less than or equal to a third preset value, the reference median impedance is less than or equal to the third preset value, and the reference microcontroller unit temperature median value is less than or equal to a fourth preset value, while the microcontroller unit temperature median 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, a first potential fault warning information is generated, and the first potential fault warning information is the information that there are potential faults in the outgoing line side or the body of the electricity meter; If both the median impedance and the reference median impedance are less than or equal to the third preset value, the microcontroller unit temperature rise change rate is approximately equal to that of the reference microcontroller unit temperature rise change rate, and both the microcontroller unit temperature median value and the reference microcontroller unit temperature median value are greater than the fourth preset value, a second potential fault warning information is generated, and the second potential fault warning information 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; If the reference median impedance is less than or equal to the third preset value and the reference microcontroller unit temperature median value is less than or equal to the fourth preset value, while the median impedance is greater than the third preset value and the microcontroller unit temperature median 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, a third potential fault warning information is generated, and the third potential fault warning information is the information that there are potential faults in the incoming line side of the electricity meter.

[0026] As can be seen from the above description, judging potential faults based on the median impedance, the median microcontroller unit temperature, the microcontroller unit temperature rise change rate, the reference median impedance, 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 the problem lies in the line before the meter, the line after the meter, or other equipment in the meter box, effectively improving the accuracy and effectiveness of the potential fault warning.

[0027] Further, the acquisition and monitoring strategy further includes an acquisition frequency; Adjusting the acquisition and monitoring strategy based on the overlimit event includes: Reducing the acquisition period and the acquisition frequency based on the overlimit event.

[0028] As can be seen from the above description, reducing the acquisition period and the acquisition frequency based on the overlimit event enables more frequent data acquisition, so as to improve the comprehensiveness of data acquisition, avoid missing abnormal data, and improve the accuracy of early warning.

[0029] Please refer to Figure 2 , Another embodiment of the present invention provides a hidden danger early 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, each step in the above-mentioned hidden danger early warning method for a distribution line is implemented.

[0030] The above-mentioned hidden danger early warning method and system for a distribution line of the present invention can be applied to the hidden danger early warning scenario of a distribution line fault, which will be described below through specific embodiments: Please refer to Figure 1 , Embodiment 1 of the present invention is: A hidden danger early warning method for a distribution line includes the steps of: S1. Send the acquisition and monitoring strategy to multiple electric energy meters.

[0031] 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 actual situations. 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 times, a strategy function identifier, and a strategy allowed response times.

[0032] In an optional implementation manner, the acquisition and monitoring strategy is configured by the main station for collecting electricity consumption information and sent to the acquisition terminal, and the acquisition terminal sends the acquisition and monitoring strategy to multiple electric energy meters.

[0033] S2. Receive the first monitoring data corresponding to the acquisition and monitoring strategy uploaded by each electric energy meter. The first monitoring data includes the temperature of the first microcontroller unit (MCU) of the electric energy meter, the first voltage, and the first current of the electric energy meter.

[0034] S3. Judge whether there is an overlimit event currently based on the temperature of the first microcontroller unit. If so, adjust the acquisition and monitoring strategy based on the overlimit event, and send the adjusted acquisition and monitoring strategy to the electric energy meter, which specifically includes S31 - S32: S31. Calculate the temperature change amount based on the first first microcontroller unit temperature and the last first microcontroller unit temperature within the collection period, specifically: ; In the formula, represents the temperature change amount, T ij represents the i last first microcontroller unit temperature of the T i1 nth electricity meter within the collection period, i i1

[0035] S32. Determine whether the temperature change amount is greater than the first preset value, or whether any first microcontroller unit temperature within the collection period is greater than the second preset value. If so, determine that there is an overlimit event currently, adjust the collection monitoring strategy based on the overlimit event, and send the adjusted collection monitoring strategy to the electricity meter.

[0036] In an optional implementation manner, after determining that there is an overlimit event currently, it further includes: Freeze the first microcontroller unit temperature, the first voltage, and the first current of the electricity meter corresponding to the overlimit event.

[0037] Among them, the adjusting the collection monitoring strategy based on the overlimit event includes: Reducing the collection period and the collection frequency based on the overlimit event.

[0038] In an optional implementation manner, the adjusting the collection monitoring strategy based on the overlimit event further includes: Reducing the first preset value and the second preset value to ensure a more comprehensive perception of the status of the electricity meter.

[0039] S4. Receive the second monitoring data corresponding to the adjusted collection monitoring strategy uploaded by each electricity meter. The second monitoring data includes the second voltage, the second current, and the second microcontroller unit temperature of the electricity meter.

[0040] S5. 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 are potential fault hazards 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 hazard warning message, specifically including S51 - S56: S51. Calculate the impedance value based on the second voltage and the second current, specifically as follows: ; 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 the trigger of the over - limit event, represents the current change value before and after the trigger of the over - limit event, U ij represents the first voltage at the time of the trigger of the over - limit event, I ij represents the first current at the time of the trigger of the over - limit event, U i(j-1) represents the voltage at the previous sampling point at the time of the trigger of the over - limit event, I i(j-1) represents the current at the previous sampling point at the time of the trigger of the over - limit event.

[0041] S52. Determine the impedance median value from all the impedance values within the acquisition period.

[0042] Specifically, determine the median of all the impedance values within the acquisition period as the impedance median value.

[0043] S53. Determine the micro - control unit temperature median value based on the second micro - control unit temperature.

[0044] Specifically, determine the median of all the second micro - control unit temperatures within the acquisition period as the micro - control unit temperature median value.

[0045] S54. Calculate the micro - control unit temperature rise change rate based on the second micro - control unit temperature, specifically as follows: ; In the formula, represents the micro - control unit temperature rise change rate, T ij ' represents the last second micro - control unit temperature of the i th electricity meter within the acquisition period, T i1 ' represents the first second micro - control unit temperature of the i th electricity meter within the acquisition period.

[0046] S55. Select a normal electricity meter in the same meter cabinet as the electricity meter as the reference electricity meter, and obtain the reference impedance median value, reference micro - control unit temperature median value, and reference micro - control unit temperature rise change rate of the reference electricity meter.

[0047] S56. Based on the median impedance, the median microcontroller unit temperature, the rate of change of the microcontroller unit temperature rise, the reference median impedance, the reference median microcontroller unit temperature, and the reference rate of change of the microcontroller unit temperature rise, determine whether there are potential fault hazards in the electricity meter. If so, generate a potential fault hazard warning message, which specifically includes S561 - S563: S561. If the median impedance is less than or equal to a third preset value, the reference median impedance is less than or equal to the third preset value, and the reference median microcontroller unit temperature is less than or equal to a fourth preset value, while the median microcontroller unit temperature is greater than the fourth preset value, and the rate of change of the microcontroller unit temperature rise is several times that of the reference rate of change of the microcontroller unit temperature rise, 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 electricity meter.

[0048] The rate of change of the microcontroller unit temperature rise being several times that of the reference rate of change of the microcontroller unit temperature rise ensures that the rate of change of the microcontroller unit temperature rise is much greater than the reference rate of change of the microcontroller unit temperature rise.

[0049] S562. If both the median impedance and the reference median impedance are less than or equal to the third preset value, the rate of change of the microcontroller unit temperature rise is approximately equal to the reference rate of change of the microcontroller unit temperature rise, and both the median microcontroller unit temperature and the reference median microcontroller unit temperature 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 electricity meter in the meter box where the electricity meter is located.

[0050] When the rate of change of the microcontroller unit temperature rise is within the range of plus or minus 10% of the reference rate of change of the microcontroller unit temperature rise, it can be considered approximately equal to the reference rate of change of the microcontroller unit temperature rise.

[0051] S563. If the reference median impedance is less than or equal to the third preset value and the reference median microcontroller unit temperature is less than or equal to the fourth preset value, while the median impedance is greater than the third preset value and the median microcontroller unit temperature is greater than the fourth preset value, and the rate of change of the microcontroller unit temperature rise is several times that of the reference rate of change of the microcontroller unit temperature rise, then generate a third potential fault hazard warning message, and the third potential fault hazard warning message is the information that there are potential fault hazards on the incoming line side of the electricity meter.

[0052] Among them, the electricity meters in the case of S561 and the electricity meters in the case of S563 will have the moment of temperature rise 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.

[0053] After generating the early warning information for potential faults, it can be dispatched to on-site personnel for on-site verification.

[0054] The above-mentioned method for early warning of potential faults in a distribution line of the present invention does not require additional equipment. Only through software program upgrade, it realizes the second-level monitoring application of the distribution network impedance. Moreover, the present invention can adaptively configure the acquisition and monitoring strategy, realizing the transformation of the line fault handling from post-event treatment to pre-event and in-event online monitoring mode; when abnormal changes in temperature data are detected, the relevant data will be frozen, and the line impedance information will be calculated synchronously. Using the temperature information and impedance information to accurately warn the location and problems of potential faults, reducing the omission and false alarm of early warning events, and improving the accuracy of locating potential faults in the distribution network.

[0055] Please refer to Figure 2 , Embodiment 2 of the present invention is as follows: A distribution line potential fault early warning system, including a memory, a processor, and a computer program stored on the memory and operable on the processor. When the processor executes the computer program, it realizes each step in the distribution line potential fault early warning method in Embodiment 1.

[0056] 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 electricity 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 electricity meter. Receives second monitoring data corresponding to the adjusted collection and monitoring strategy uploaded by each electricity 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 hidden dangers 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, generates a hidden danger warning message. It can adjust the collection and monitoring strategy in time after detecting an over-limit event, effectively obtain abnormal fluctuation data of voltage and current, comprehensively determine whether there are hidden dangers 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, thus improving the accuracy of the warning. In addition, judging hidden dangers 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 hidden dangers, 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 hidden danger 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.

[0057] 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 included in the patent protection scope of the present invention by the same token.

Claims

1. A method for early warning of hidden dangers of power distribution lines, characterized in that: Includes steps: Send the collection and monitoring strategy to multiple electricity meters; 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; 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; Receiving second monitoring data corresponding to the adjusted acquisition monitoring strategy uploaded by each of the electric energy meters, the second monitoring data including a second voltage, a second current, and a second micro control unit temperature of the electric energy meter; Based on the second voltage, the second current and the second microcontroller unit temperature, the median impedance value, the median microcontroller unit temperature and the microcontroller unit temperature rise rate are calculated, and based on the median impedance value, the median microcontroller unit temperature and the microcontroller unit temperature rise rate, it is determined whether the electric energy meter has a potential fault. If so, potential fault warning information is generated.

2. A method for early warning of hidden dangers of power distribution lines according to claim 1, characterized in that: The acquisition monitoring strategy includes an acquisition period, a first preset value, and a second preset value; The determining whether there is an over-limit event 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 electric energy meter includes: Calculating a temperature variation according to a first first microcontroller unit temperature and a last first microcontroller unit temperature within the acquisition period; Determine whether the temperature change is greater than the first preset value, or whether the temperature of any first microcontroller unit within the acquisition period is greater than the second preset value. If so, determine that an out-of-limit event currently exists, adjust the acquisition monitoring strategy based on the out-of-limit event, and send the adjusted acquisition monitoring strategy to the electric energy meter.

3. A method for early warning of hidden dangers of power distribution lines according to claim 2, characterized in that: The calculating of the temperature variation according to the first first microcontroller unit temperature and the last first microcontroller unit temperature in the acquisition period comprises: ； 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.

4. A distribution line hidden danger early warning method according to claim 2, characterized in that: 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 comprises: calculating an impedance value according to the second voltage and the second current; Determining a median impedance value from all of the impedance values ​​within the acquisition period; Determine a median value of the micro control unit temperature according to the second micro control unit temperature; The temperature rise rate of the micro control unit is calculated according to the temperature of the second micro control unit.

5. A distribution line hidden danger early warning method according to claim 4, characterized in that: The first monitoring data also includes a first voltage and a first current of the electric energy meter; Calculating the impedance value according to the second voltage and the second current comprises: ； In the formula, R ij Indicates i The first time a power meter is collected during the collection cycle j The impedance value, Indicates the voltage change value before and after the over-limit event is triggered. Indicates the current change value before and after the over-limit event is triggered. U ij Indicates the first voltage when the limit-crossing event is triggered. I ij Indicates the first current when the limit-crossing event is triggered. U i(j-1) Indicates the voltage of the last sampling point when the limit crossing event is triggered. I i(j-1) Indicates the current at the last sampling point when the limit crossing event is triggered.

6. A method for early warning of hidden dangers of power distribution lines according to claim 4, characterized in that: Calculating the temperature rise rate of the microcontroller unit according to the temperature of the second microcontroller unit comprises: ； In the formula, Indicates the temperature rise rate of the microcontroller unit, T ij ' indicates the i The last second microcontroller temperature of an electric energy meter in the acquisition cycle, T i1 ' indicates the i The first and second microcontroller units temperatures of each electric energy meter during the acquisition cycle.

7. A method for early warning of hidden dangers of power distribution lines according to claim 1, characterized in that: The determining whether the electric energy meter has a potential fault based on the impedance median value, the microcontroller temperature median value, and the microcontroller temperature rise change rate, and if so, generating potential fault warning information includes: Select a normal electric energy meter in the same meter box as the electric energy meter as a reference electric energy meter, and obtain a reference impedance median value, a reference microcontroller unit temperature median value, and a reference microcontroller unit temperature rise change rate of the reference electric energy meter; Based on the median value of impedance, the median value of the microcontroller unit temperature, the temperature rise rate of the microcontroller unit, the median value of reference impedance, the median value of the reference microcontroller unit temperature and the temperature rise rate of the reference microcontroller unit, it is determined whether the electric energy meter has a potential fault. If so, potential fault warning information is generated.

8. A method for early warning of hidden dangers of power distribution lines according to claim 7, characterized in that: The judging whether the electric energy meter has a potential fault based on the impedance median value, the microcontroller unit temperature median value, the microcontroller unit temperature rise rate, the reference impedance median value, the reference microcontroller unit temperature median value, and the reference microcontroller unit temperature rise rate, and if so, generating potential fault warning information includes: If the impedance median value is less than or equal to the third preset value, the reference impedance median value is less than or equal to the third preset value, and the reference micro-control unit temperature median value is less than or equal to the fourth preset value, and the micro-control unit temperature median value is greater than the fourth preset value, and the micro-control unit temperature rise rate is several times the reference micro-control unit temperature rise rate, then first fault hidden danger warning information is generated, and the first fault hidden danger warning information is information that there is a fault hidden danger on the outlet side or the body of the electric energy meter; If the impedance median value and the reference impedance median value are both less than or equal to the third preset value, and the temperature rise change rate of the microcontroller unit is approximately equal to the temperature rise change rate of the reference microcontroller unit, and the microcontroller unit temperature median value and the reference microcontroller unit temperature median value are both greater than the fourth preset value, then second fault hidden danger warning information is generated, and the second fault hidden danger warning information is information that there is a fault hidden danger in equipment other than the electric energy meter in the meter box where the electric energy meter is located; 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 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 temperature is greater than the fourth preset value, and the temperature rise rate of the microcontroller is several times the temperature rise rate of the reference microcontroller, then a third fault hidden danger warning information is generated, and the third fault hidden danger warning information is information that there is a fault hidden danger on the incoming line side of the electric energy meter.

9. A method for early warning of hidden dangers of power distribution lines according to claim 2, characterized in that: The collection and monitoring strategy also includes collection frequency; The adjusting the acquisition monitoring strategy based on the limit-crossing event includes: The collection period and the collection frequency are reduced based on the limit-crossing event.

10. A power distribution line hidden danger early warning system, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, each step of the method for early warning of hidden dangers of power distribution lines according to any one of claims 1 to 9 is implemented.

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