Urban lighting line fault rapid positioning system and method

Abstract

The invention discloses an urban lighting line fault rapid positioning system and method, relates to the technical field of lighting line detection, solves the technical problem that line abnormity cannot be evaluated according to parameter analysis during urban lighting efficiency detection in the prior art, and particularly relates to line fault detection on an urban lighting line. Performing parameter analysis according to a real-time urban lighting line to deduce whether the current line is abnormal, collecting line operation information, substituting the line operation information into a formula to obtain a line analysis detection coefficient of the supply network in an operation period, and comparing the coefficients to obtain whether the line is abnormal; the fault type analysis unit analyzes the line fault type of the supply network, and analyzes and deduces the line fault type in the current supply network according to the real-time data.

Description

Technical Field

[0001] The present invention relates to the technical field of lighting circuit detection, and in particular to a system and method for quickly locating faults of urban lighting circuits. Background Art

[0002] Urban lighting lines are a vital part of urban infrastructure; urban lighting lines include power transmission lines that lighting facilities such as street lights and landscape lights rely on, and they are important in many aspects; in order to ensure the normal operation of urban lighting lines, it is necessary to strengthen daily inspections and maintenance work, use advanced technologies and equipment to improve the stability and reliability of the lines, and at the same time fully consider the layout and development of lighting lines in urban planning.

[0003] However, in the existing technology, it is not possible to evaluate line abnormalities based on parameter analysis when detecting urban lighting efficiency, so that timely positioning is impossible. In addition, it is not possible to classify faults based on real-time fault analysis, and the line detection efficiency cannot be guaranteed. At the same time, it is impossible to detect interference with the supply network and ensure whether the operating environment is qualified during the lighting process, which reduces the operational qualification.

[0004] In view of the above technical defects, a solution is now proposed. Summary of the invention

[0005] The purpose of the present invention is to solve the above-mentioned problems and to provide a system and method for quickly locating urban lighting line faults.

[0006] The purpose of the present invention can be achieved through the following technical solutions:

[0007] A system for quickly locating faults in urban lighting lines, comprising a line fault detection platform, wherein the line fault detection platform is communicatively connected with:

[0008] The line parameter analysis and detection unit is used to detect line faults on urban lighting lines. It performs parameter analysis on real-time urban lighting lines to infer whether the current line is abnormal. It collects line operation information, substitutes it into the formula to obtain the line analysis and detection coefficient of the supply network during the operation period, and compares the coefficients to determine whether the line is abnormal.

[0009] The fault type analysis unit is used to analyze the line fault type of the supply network, infer the line fault type in the current supply network based on real-time data analysis, mark the line with abnormal line parameter analysis as a faulty line segment, collect the line parameter floating time of the faulty line segment and build the fault period in combination with the current system time, collect the duration impact information and floating speed information, and classify the fault type based on information comparison;

[0010] The interference detection and analysis unit is used to perform interference detection and analysis on the supply network, obtain control impact data and floating impact data, and infer whether the interference detection is normal based on data analysis;

[0011] The positioning accuracy assessment unit is used to assess the accuracy of fault positioning in the supply network, collect maintenance process information and maintenance completion information, and infer whether the accuracy assessment is normal based on information comparison.

[0012] As a preferred embodiment of the present invention, the line operation information includes the maximum span value of the electrical parameter value fluctuation of any section of the supply network when the real-time supply power of the supply network is not adjusted during the operation period, the maximum increase value of the operating temperature rise of any section of the supply network when the real-time supply power of the supply network is adjusted during the operation period, and the frequency of continuous increase in the electrical parameter floating span and the multiple values ​​of the electrical parameter control quantity of any section of the supply network at the same time during the operation period.

[0013] As a preferred embodiment of the present invention, if the line analysis detection coefficient of the supply network during the operation period does not exceed the line analysis detection coefficient threshold, then the line parameter analysis and detection of the supply network during the operation period is determined to be normal; if the line analysis detection coefficient of the supply network during the operation period exceeds the line analysis detection coefficient threshold, then the line parameter analysis and detection of the supply network during the operation period is determined to be abnormal.

[0014] As a preferred embodiment of the present invention, the duration impact information and the floating speed information are respectively the ratio of the duration of the line parameter floating of the fault line section of the fault line section within the fault period to the buffer time corresponding to the line parameter value moving to the red line value threshold at the current floating average speed, and the peak speed of the fault line section distance extended after the line parameter of the fault line section within the fault period floats.

[0015] As a preferred embodiment of the present invention, if the duration impact information value exceeds the duration ratio threshold, and the floating speed information exceeds the speed peak threshold, the fault type of the faulty line section within the fault period is set to a slow-time high-span impact type;

[0016] If the duration impact information does not exceed the duration ratio threshold, and the floating speed information exceeds the speed peak threshold, the fault type of the faulty line section within the fault period is set to the instantaneous high span impact type;

[0017] If the duration impact information exceeds the duration ratio threshold, and the floating speed information does not exceed the speed peak threshold, the fault type of the faulty line section within the fault period is set to a slow-time low-span impact type;

[0018] If the duration impact information does not exceed the duration ratio threshold, and the floating speed information does not exceed the speed peak threshold, the fault type of the faulty line section within the fault period is set to the instantaneous low span impact type.

[0019] As a preferred embodiment of the present invention, the control influence data and the floating influence data are respectively the mean deviation between the controllable amount of the influence data of any line segment during the operation of the supply network and the real-time floating amount, and the excess of the floating speed of the electrical parameters of the current line segment during the floating control of the influence data of the line segment during the operation of the supply network and the set floating speed.

[0020] As a preferred embodiment of the present invention, if the control influence data exceeds the deviation mean threshold, or the floating influence data exceeds the speed excess threshold, then it is determined that the interference detection analysis is abnormal;

[0021] If the control impact data does not exceed the deviation mean threshold, and the floating impact data does not exceed the speed excess threshold, the interference detection analysis is determined to be normal.

[0022] As a preferred embodiment of the present invention, the maintenance process information and the maintenance end information are respectively the decreasing span of the speed of increase of the number of faulty line segments when the supply network performs maintenance on the location of the faulty line segment, and the duration that the proportion of faulty line segments in the supply network still exceeds the proportion threshold after the supply network completes the maintenance of the current faulty segment location.

[0023] As a preferred embodiment of the present invention, if the maintenance process information exceeds the speed drop span threshold, or the maintenance end information exceeds the duration threshold, then the fault location accuracy assessment in the supply network is determined to be abnormal; if the maintenance process information does not exceed the speed drop span threshold, and the maintenance end information does not exceed the duration threshold, then the fault location accuracy assessment in the supply network is determined to be normal.

[0024] A method for quickly locating urban lighting line faults, the specific locating steps are as follows:

[0025] Step 1: Line parameter analysis and detection: perform line fault detection on the urban lighting line, infer whether the current line is abnormal based on the real-time urban lighting line parameter analysis, collect line operation information, substitute it into the formula to obtain the line analysis detection coefficient of the supply network during the operation period, and determine whether the line is abnormal based on the coefficient comparison;

[0026] Step 2: Fault type analysis: Analyze the line fault types of the supply network. Infer the line fault types in the current supply network based on real-time data analysis. Mark the lines with abnormal line parameter analysis as faulty line segments. Collect the floating time of line parameters of the faulty line segments and build the fault period in combination with the current system time. Collect the duration impact information and floating speed information, and classify the fault types based on information comparison.

[0027] Step 3: Interference detection analysis: Conduct interference detection analysis on the supply network, obtain control impact data and floating impact data, and infer whether the interference detection is normal based on data analysis;

[0028] Step 4: Positioning accuracy assessment: Conduct an accuracy assessment on the fault location of the supply network, collect maintenance process information and maintenance completion information, and infer whether the accuracy assessment is normal based on information comparison.

[0029] Compared with the prior art, the present invention has the following beneficial effects:

[0030] 1. In the present invention, line fault detection is performed on the urban lighting line, and parameter analysis is performed on the real-time urban lighting line to infer whether there is an abnormality in the current line, which is convenient for timely line positioning detection, and can also timely warn and regulate line faults, so as to ensure the operation efficiency of the urban lighting line; the line fault type analysis is performed on the supply network, and the line fault type in the current supply network is inferred based on real-time data analysis, so as to improve the supply network line detection efficiency, ensure the operation stability of the supply network line, and facilitate timely detection and warning of faults.

[0031] 2. In the present invention, interference detection and analysis is performed on the supply network, and the real-time operating environment of the supply network is detected through the supply network interference detection and analysis to avoid supply network failures caused by the operating environment, so that there is still a risk of failure after maintenance is completed, which reduces the accuracy of supply network fault location maintenance and also reduces the operational qualification of the supply network; the accuracy of the supply network fault location is evaluated, and the positioning accuracy evaluation is used to infer whether the current supply network fault location detection meets the actual operating requirements, ensuring that the positioning detection can perform fault maintenance and repair in a timely manner, thereby reducing the impact of supply network failures. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0033] Figure 1 It is a principle block diagram of the present invention. DETAILED DESCRIPTION

[0034] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0035] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0036] See also Figure 1 As shown, a system for quickly locating faults in urban lighting lines includes a line fault detection platform, wherein the line fault detection platform is communicatively connected to a line parameter analysis and detection unit, a fault type analysis unit, an interference detection and analysis unit, and a positioning accuracy evaluation unit;

[0037] The line fault detection platform generates a line parameter analysis detection signal and sends the line parameter analysis detection signal to the line parameter analysis detection unit. After receiving the line parameter analysis detection signal, the line parameter analysis detection unit performs line fault detection on the urban lighting line, and infers whether there is an abnormality in the current line based on the real-time urban lighting line parameter analysis, so as to facilitate timely line positioning detection, and also timely early warning and control of line faults, so as to ensure the operation efficiency of the urban lighting line;

[0038] The operation time period of the urban lighting line is obtained and the urban lighting line that supplies power in real time during the operation time period is marked as a supply network, the maximum span value of the floating electrical parameter value of any section of the supply network when the real-time supply power of the supply network is not adjusted during the operation time period is obtained, and the maximum increase value of the operating temperature rise of any section of the supply network when the real-time supply power of the supply network is adjusted during the operation time period is obtained, and the maximum span value of the floating electrical parameter value of any section of the supply network when the real-time supply power of the supply network is not adjusted during the operation time period and the maximum increase value of the operating temperature rise of any section of the supply network when the real-time supply power of the supply network is adjusted during the operation time period are marked as SZF and WSK respectively; wherein the electrical parameters are represented by parameters such as current and voltage of the line; the frequency of continuous increase of the floating span of the electrical parameters and the multiple values ​​of the electrical parameter control quantity at the same time of any section of the supply network during the operation time period is obtained, and the frequency of continuous increase of the floating span of the electrical parameters and the multiple values ​​of the electrical parameter control quantity at the same time of any section of the supply network during the operation time period is marked as SGP;

[0039] The above collected data are uniformly marked as line operation information, and substituted into the formula to obtain the line analysis detection coefficient K of the supply network during the operation period. The formula is: Among them, fhj1, fhj2 and fhj3 are respectively the maximum growth value of the operating temperature rise of any section of the line, the maximum growth value of the operating temperature rise of any section of the line, and the preset proportional coefficient of the frequency of continuous increase of the excess value of the control quantity, and e is a natural constant, and α is an error correction factor, which is 0.98;

[0040] The route analysis detection coefficient K of the supply network during the operation period is compared with the route analysis detection coefficient threshold:

[0041] If the line analysis detection coefficient K of the supply network during the operation period does not exceed the line analysis detection coefficient threshold, it is determined that the line parameter analysis detection of the supply network during the operation period is normal, and a line normal operation signal is generated and sent to the line fault detection platform;

[0042] If the line analysis detection coefficient K of the supply network during the operation period exceeds the line analysis detection coefficient threshold, the line parameter analysis detection of the supply network during the operation period is determined to be abnormal, a line operation abnormality signal is generated and the line operation abnormality signal is sent to the line fault detection platform. After the line fault detection platform receives the line operation abnormality signal, the supply volume of the line of the current supply network is reduced and continuously reduced to zero; at the same time, a fault type analysis signal is generated and the fault type analysis signal is sent to the fault type analysis unit;

[0043] After receiving the fault type analysis signal, the fault type analysis unit performs line fault type analysis on the supply network, and infers the line fault type in the current supply network based on real-time data analysis, thereby improving the line detection efficiency of the supply network, ensuring the operational stability of the supply network line, and facilitating timely detection and early warning of faults;

[0044] The line with abnormal line parameter analysis is marked as a faulty line segment, and the line parameter floating time of the faulty line segment is collected and the fault period is constructed in combination with the current system time. The ratio of the duration of the line parameter floating of the faulty line segment in the faulty line segment within the faulty line segment to the buffer time for the line parameter value to move to the red line value threshold at the current floating average speed is obtained. At the same time, the peak speed of the extended distance of the faulty line segment corresponding to the line parameter floating after the line parameter of the faulty line segment in ...

[0045] If the ratio of the duration of line parameter floating of the faulty line section of the faulty line section within the fault period to the buffer time for the line parameter value to move to the red line value threshold at the current floating average speed exceeds the time ratio threshold, and the speed peak of the extended distance of the faulty line section corresponding to the line parameter floating after the line parameter of the faulty line section within the fault period exceeds the speed peak threshold, then the fault type of the faulty line section within the fault period is set as the slow-time high-span impact type;

[0046] If the ratio of the duration of line parameter floating of the faulty line section of the faulty line section within the fault period to the buffer time for the line parameter value to move to the red line value threshold at the current floating average speed does not exceed the time ratio threshold, and the speed peak of the extended distance of the faulty line section corresponding to the line parameter floating after the line parameter of the faulty line section within the fault period exceeds the speed peak threshold, then the fault type of the faulty line section within the fault period is set to the instantaneous high span impact type;

[0047] If the ratio of the duration of line parameter floating of the faulty line section of the faulty line section within the fault period to the buffer time for the line parameter value to move to the red line value threshold at the current floating average speed exceeds the time ratio threshold, and the speed peak of the extended distance of the faulty line section corresponding to the line parameter floating after the line parameter of the faulty line section within the fault period does not exceed the speed peak threshold, then the fault type of the faulty line section within the fault period is set as the slow-time low-span impact type;

[0048] If the duration of line parameter floating of the faulty line section of the faulty line section within the fault period and the corresponding time ratio of the buffer time for the line parameter value to move to the red line value threshold at the current floating average speed do not exceed the time ratio threshold, and the speed peak of the extended distance of the faulty line section corresponding to the line parameter floating after the line parameter of the faulty line section within the fault period does not exceed the speed peak threshold, then the fault type of the faulty line section within the fault period is set to the instantaneous low span impact type;

[0049] The fault type of the faulty line segment is sent to the line fault detection platform. After receiving the fault type of the faulty line segment, the line fault detection platform performs targeted maintenance on the faulty line segment, and the order of priority of each type of maintenance from high to low is instantaneous high span impact type, slow time high span impact type, instantaneous low span impact type, slow time low span impact type; at the same time, the monitoring period of the slow time type is shorter than the monitoring period of the instantaneous type;

[0050] During the real-time classification of fault types, the line fault detection platform generates an interference detection and analysis signal and sends the interference detection and analysis signal to the interference detection and analysis unit. After receiving the interference detection and analysis signal, the interference detection and analysis unit performs interference detection and analysis on the supply network. The real-time operation environment of the supply network is detected through the supply network interference detection and analysis to avoid supply network failures caused by the operation environment, so that there is still a risk of failure after maintenance is completed, which reduces the accuracy of supply network fault location maintenance and also reduces the operation qualification of the supply network.

[0051] According to the historical operation analysis of the supply network, the floating trend of the electrical parameters of the faulty line segment and the floating trend of the surrounding environmental parameters are obtained. If the floating trend is not consistent at a single moment, the corresponding environmental parameters are set as the influencing data. The surrounding environmental parameters are parameters such as temperature, humidity, and wind force. The mean deviation between the controllable amount of the influencing data of any line segment and the real-time floating amount during the operation of the supply network is obtained. At the same time, the excess of the floating speed of the electrical parameters of the current line segment and the set floating speed during the floating control of the influencing data of the line segment during the operation of the supply network is obtained. The mean deviation between the controllable amount of the influencing data of any line segment and the real-time floating amount, and the excess of the floating speed of the electrical parameters of the current line segment and the set floating speed during the floating control of the influencing data of the line segment during the operation of the supply network are marked as control influencing data and floating influencing data, respectively, and compared with the deviation mean threshold and the speed excess threshold, respectively:

[0052] If the deviation mean of the controllable amount and the real-time floating amount of the influencing data of any line segment during the operation of the supply network exceeds the deviation mean threshold, or the excess of the floating speed of the electrical parameters of the current line segment and the set floating speed during the floating control of the influencing data of the line segment during the operation of the supply network exceeds the speed excess threshold, then the interference detection analysis is judged to be abnormal, an operation interference signal is generated and sent to the line fault detection platform. After receiving the operation interference signal, the line fault detection platform controls the surrounding environmental parameters during the maintenance of the faulty line segment of the supply network, and at the same time performs random inspections of the environmental parameters at any time during the monitoring period of the faulty line segment;

[0053] If the mean deviation between the controllable amount and the real-time floating amount of the influencing data of any line segment during the operation of the supply network does not exceed the mean deviation threshold, and the excess between the floating speed of the electrical parameters of the current line segment and the set floating speed during the floating control of the influencing data of the line segment during the operation of the supply network does not exceed the speed excess threshold, then it is determined that the interference detection and analysis is normal, a normal operation signal is generated, and the normal operation signal is sent to the line fault detection platform;

[0054] After receiving the normal operation signal, the line fault detection platform generates a positioning accuracy evaluation signal and sends the positioning accuracy evaluation signal to the positioning accuracy evaluation unit. After receiving the positioning accuracy evaluation signal, the positioning accuracy evaluation unit evaluates the accuracy of the fault location of the supply network, and infers whether the fault location detection of the current supply network meets the actual operation requirements through the positioning accuracy evaluation, ensuring that the positioning detection can perform fault maintenance and repair in time, thereby reducing the impact of the fault on the supply network;

[0055] The decreasing span of the speed of increasing the number of faulty line segments when the supply network performs faulty line segment location maintenance is obtained, and at the same time, the duration of the time that the proportion of faulty line segments in the supply network still exceeds the proportion threshold after the supply network completes the current faulty segment location maintenance is obtained. The decreasing span of the speed of increasing the number of faulty line segments when the supply network performs faulty line segment location maintenance and the duration of the time that the proportion of faulty line segments in the supply network still exceeds the proportion threshold after the supply network completes the current faulty segment location maintenance are marked as maintenance process information and maintenance end information, respectively, and compared with the speed decreasing span threshold and the duration threshold, respectively:

[0056] If the speed at which the number of faulty line segments increases when the supply network performs position maintenance on the faulty line segment exceeds the speed reduction span threshold, or if the duration for which the proportion of faulty line segments in the supply network still exceeds the proportion threshold after the supply network completes the position maintenance on the current faulty segment exceeds the duration threshold, it is determined that the fault location accuracy assessment in the supply network is abnormal, an accuracy abnormality signal is generated and sent to the line fault detection platform. After receiving the accuracy abnormality signal, the line fault detection platform re-detects the line segments on which fault detection has been completed in the current supply network, and shortens the monitoring period for the unfinished line segments.

[0057] If the decrease span of the speed of increasing the number of faulty line segments when the supply network performs the position maintenance of the faulty line segment does not exceed the speed decrease span threshold, and the duration that the proportion of faulty line segments in the supply network still exceeds the proportion threshold after the supply network completes the position maintenance of the current faulty segment does not exceed the duration threshold, then it is determined that the fault location accuracy assessment in the supply network is normal, and a normal accuracy signal is generated and sent to the line fault detection platform;

[0058] A method for quickly locating urban lighting line faults, the specific locating steps are as follows:

[0059] Step 1: Line parameter analysis and detection: perform line fault detection on the urban lighting line, infer whether the current line is abnormal based on the real-time urban lighting line parameter analysis, collect line operation information, substitute it into the formula to obtain the line analysis detection coefficient of the supply network during the operation period, and determine whether the line is abnormal based on the coefficient comparison;

[0060] Step 2: Fault type analysis: Analyze the line fault types of the supply network. Infer the line fault types in the current supply network based on real-time data analysis. Mark the lines with abnormal line parameter analysis as faulty line segments. Collect the floating time of line parameters of the faulty line segments and build the fault period in combination with the current system time. Collect the duration impact information and floating speed information, and classify the fault types based on information comparison.

[0061] Step 3: Interference detection analysis: Conduct interference detection analysis on the supply network, obtain control impact data and floating impact data, and infer whether the interference detection is normal based on data analysis;

[0062] Step 4: Positioning accuracy assessment: Conduct an accuracy assessment on the fault location of the supply network, collect maintenance process information and maintenance completion information, and infer whether the accuracy assessment is normal based on information comparison.

[0063] The above formulas are obtained by collecting a large amount of data and performing software simulation, and a formula close to the actual value is selected. The coefficients in the formula are set by technicians in this field according to actual conditions;

[0064] When the present invention is in use, the line parameter analysis and detection unit is used to perform line fault detection on the urban lighting line, infer whether the current line is abnormal based on the real-time urban lighting line parameter analysis, collect line operation information, substitute it into the formula to obtain the line analysis detection coefficient of the supply network in the operation period, and obtain whether the line is abnormal based on the coefficient comparison; the fault type analysis unit is used to perform line fault type analysis on the supply network, infer the line fault type in the current supply network based on the real-time data analysis, mark the line with abnormal line parameter analysis as a faulty line segment, and collect the line parameter floating time of the faulty line segment and construct the fault period in combination with the current system time, collect the duration impact information and the floating speed information, and divide the fault type based on the information comparison; the interference detection and analysis unit is used to perform interference detection and analysis on the supply network, obtain the control impact data and the floating impact data, and infer whether the interference detection is normal based on the data analysis; the positioning accuracy evaluation unit is used to evaluate the accuracy of the fault positioning of the supply network, collect the maintenance process information and the maintenance end information, and infer whether the accuracy evaluation is normal based on the information comparison.

[0065] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A system for quickly locating urban lighting line faults, characterized in that: It includes a line fault detection platform, wherein the communication connection of the line fault detection platform includes: The line parameter analysis and detection unit is used to detect line faults on urban lighting lines. It performs parameter analysis on real-time urban lighting lines to infer whether the current line is abnormal. It collects line operation information, substitutes it into the formula to obtain the line analysis and detection coefficient of the supply network during the operation period, and compares the coefficients to determine whether the line is abnormal. The fault type analysis unit is used to analyze the line fault type of the supply network, infer the line fault type in the current supply network based on real-time data analysis, mark the line with abnormal line parameter analysis as a faulty line segment, collect the line parameter floating time of the faulty line segment and build the fault period in combination with the current system time, collect the duration impact information and floating speed information, and classify the fault type based on information comparison; The interference detection and analysis unit is used to perform interference detection and analysis on the supply network, obtain control impact data and floating impact data, and infer whether the interference detection is normal based on data analysis; The positioning accuracy assessment unit is used to assess the accuracy of fault positioning in the supply network, collect maintenance process information and maintenance completion information, and infer whether the accuracy assessment is normal based on information comparison.

2. A system for quickly locating faults in urban lighting lines according to claim 1, characterized in that: The line operation information includes the maximum span value of the electrical parameter value fluctuation of any section of the supply network when the real-time supply power of the supply network is not adjusted during the operation period, the maximum increase value of the operating temperature rise of any section of the supply network when the real-time supply power of the supply network is adjusted during the operation period, and the frequency of continuous increase in the electrical parameter floating span and the multiple values ​​of the electrical parameter control quantity of any section of the supply network at the same time during the operation period.

3. A system for quickly locating faults in urban lighting lines according to claim 2, characterized in that: If the line analysis detection coefficient of the supply network during the operation period does not exceed the line analysis detection coefficient threshold, it is determined that the line parameter analysis detection of the supply network during the operation period is normal; If the line analysis detection coefficient of the supply network during the operation period exceeds the line analysis detection coefficient threshold, it is determined that the line parameter analysis detection of the supply network during the operation period is abnormal.

4. A system for quickly locating faults in urban lighting lines according to claim 1, characterized in that: The duration impact information and floating speed information are respectively the ratio of the duration of line parameter floating of the faulty line section within the fault period to the buffer time corresponding to the line parameter value moving to the red line value threshold at the current floating average speed, and the peak speed of the extended distance of the faulty line section corresponding to the line parameter floating after the line parameter of the faulty line section within the fault period floats.

5. A system for quickly locating faults in urban lighting lines according to claim 4, characterized in that: If the duration impact information value exceeds the duration ratio threshold, and the floating speed information exceeds the speed peak threshold, the fault type of the faulty line section within the fault period is set to a slow-time high-span impact type; If the duration impact information does not exceed the duration ratio threshold, and the floating speed information exceeds the speed peak threshold, the fault type of the faulty line section within the fault period is set to the instantaneous high span impact type; If the duration impact information exceeds the duration ratio threshold, and the floating speed information does not exceed the speed peak threshold, the fault type of the faulty line section within the fault period is set to a slow-time low-span impact type; If the duration impact information does not exceed the duration ratio threshold, and the floating speed information does not exceed the speed peak threshold, the fault type of the faulty line section within the fault period is set to the instantaneous low span impact type.

6. A system for quickly locating faults in urban lighting lines according to claim 1, characterized in that: The control influence data and floating influence data are respectively the mean deviation between the controllable amount and the real-time floating amount of the influence data of any line segment during the operation of the supply network, and the excess of the floating speed of the electrical parameters of the current line segment and the set floating speed when the influence data of the line segment during the operation of the supply network is floatingly controlled.

7. A system for quickly locating faults in urban lighting lines according to claim 6, characterized in that: If the control impact data exceeds the deviation mean threshold, or the floating impact data exceeds the speed excess threshold, the interference detection analysis is determined to be abnormal; If the control impact data does not exceed the deviation mean threshold, and the floating impact data does not exceed the speed excess threshold, then the interference detection analysis is determined to be normal.

8. The urban lighting line fault rapid location system according to claim 1 is characterized in that: The maintenance process information and maintenance completion information are respectively the decreasing span of the increasing speed of the faulty line segments when the supply network performs maintenance on the faulty line segment location, and the duration that the proportion of faulty line segments in the supply network still exceeds the proportion threshold after the supply network completes the maintenance of the current faulty segment location.

9. A system for quickly locating faults in urban lighting lines according to claim 8, characterized in that: If the maintenance process information exceeds the speed drop span threshold, or the maintenance end information exceeds the duration threshold, it is determined that the fault location accuracy assessment in the supply network is abnormal; If the maintenance process information does not exceed the speed drop span threshold, and the maintenance end information does not exceed the duration threshold, it is determined that the fault location accuracy assessment in the supply network is normal.

10. A method for quickly locating urban lighting line faults, characterized in that: A system for quickly locating faults in urban lighting lines as described in any one of claims 1 to 9 above.

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