Power distribution network box type equipment fault monitoring method and system

Abstract

The invention relates to the technical field of power distribution equipment fault detection, and discloses a power distribution net box type equipment fault monitoring method and system. The fault monitoring system comprises an information acquisition module and an analysis module. The information acquisition module comprises a plurality of input end information acquisition units, a plurality of input end information acquisition units and an environment acquisition unit. Acquiring first information data of a corresponding power distribution input end through an input end information acquisition unit; acquiring second information data of a corresponding output end through an output end information acquisition unit; acquiring environment information data around the power distribution network box type equipment through an environment acquisition unit; and finally, analyzing according to the first information data, the second information data and the environment information data through an analysis module, and judging whether the power distribution network box type equipment has a fault or not. The fault can be found in time, and the fault information is sent to the management personnel, so that the management personnel can maintain the fault in time, and accidents are prevented.

Description

Technical Field

[0001] The present invention relates to the technical field of power distribution equipment fault detection, and in particular to a method and system for monitoring faults of box-type equipment in a power distribution network. Background Art

[0002] Distribution network box equipment, also known as prefabricated substation, is an important component of modern power systems; distribution network box equipment usually integrates high-voltage switchgear, transformers, low-voltage switchgear and other devices into one to distribute power to various power terminal areas.

[0003] Usually, some distribution network box-type equipment is placed outdoors. In order to ensure the normal operation of the distribution network box-type equipment, staff will conduct regular maintenance. In addition, a variety of sensors are usually installed on the distribution network box-type equipment to collect real-time data of the distribution network box-type equipment for monitoring the distribution network box-type equipment.

[0004] However, when some invisible faults occur in the distribution network box-type equipment, they cannot be observed with the naked eye and can only be obtained through data analysis. The real-time data collected by each sensor is large, and the number of distribution network box-type equipment that the staff is responsible for is large. Therefore, it is difficult for the staff to analyze the operation status of the distribution network box-type equipment in real time based on the collected real-time data. Summary of the invention

[0005] The purpose of the present invention is to provide a method and system for monitoring faults of distribution network box-type equipment to solve the following technical problems: How to collect data to automatically determine whether a distribution network box-type equipment has failed.

[0006] The purpose of the present invention can be achieved through the following technical solutions: A distribution network box-type equipment fault monitoring system is applied to a distribution network box-type equipment, wherein the distribution network box-type equipment comprises a box body, a plurality of distribution input terminals and a plurality of distribution output terminals arranged on the box body, and the fault monitoring system comprises: An information collection module, including a plurality of input terminal information collection units, a plurality of input terminal information collection units and an environment collection unit; The input terminal information collection unit corresponds to the power distribution input terminal one by one, and is used to collect first information data of the corresponding power distribution input terminal; The output terminal information collection unit corresponds to the power distribution output terminal one by one, and is used to collect the second information data of the corresponding output terminal; The environment collection unit is used to collect environmental information data around the distribution network box-type equipment; The analysis module is used to analyze the first information data, the second information data and the environmental information data to determine whether there is a fault in the distribution network box-type equipment.

[0007] As a further solution of the present invention: the first information data includes real-time input power; the second information data includes output power and output voltage; and the environmental information data includes ambient temperature and ambient humidity.

[0008] As a further solution of the present invention: the analysis process of the analysis module includes the following steps: S10: Obtaining a loss deviation index by analyzing input power of each power distribution input terminal, output power of each power distribution output terminal, and environmental information data; S20: Analyzing the output voltage of each power distribution output terminal to obtain a voltage fault index; S30: Obtain a fault judgment index by analyzing the voltage fault index and the loss deviation index, and judge whether there is a fault in the distribution network box-type equipment according to the fault judgment index.

[0009] As a further solution of the present invention: the loss deviation index is obtained by the formula: Calculating the loss deviation index ; in, is the number of input terminals of the distribution network box-type equipment, ; is the number of output terminals of the distribution network box-type equipment, ; is a randomly selected time period, ; For the randomly selected The start time of a time period; For the randomly selected The length of the time period; For the The real-time input power curve of each input terminal changes with time; For the The real-time output power curve of each output terminal changes with time; The current preset loss rate.

[0010] As a further solution of the present invention: the voltage fault index is obtained by the formula: Calculating the Voltage Fault Index ; in, is the first judgment function, when hour, ;when hour, ; For the The real-time output voltage curve of each output terminal changes with time; Preset output voltage for output terminal; is a first preset error value; is a second preset error value; For the The output terminals are The maximum value of the deviation between the real-time output voltage and the preset output voltage in a randomly selected time period; is the first weight coefficient; is the second weight coefficient; is the first preset constant; is the second preset constant.

[0011] As a further solution of the present invention: the fault judgment index is obtained by the formula: Calculate the fault judgment index ; in, is the second judgment function, when hour, ;when hour, ; when When the power distribution network box-type equipment is faulty, the power distribution network box-type equipment is faulty; otherwise, the power distribution network box-type equipment is faulty.

[0012] As a further solution of the present invention: the current preset loss rate The following steps are involved: S100: Obtaining a preset loss change curve of the loss rate of the distribution network box-type equipment under a preset state versus the usage time ; S200: By formula: Calculate the current preset loss rate ; in, The usage time of the distribution network box-type equipment; It is the preset loss rate under the preset state of current usage duration; is the current time; is the temperature variation curve of ambient temperature over time; is the preset temperature; is a third preset error value; It is the humidity variation curve of ambient humidity over time; is a third preset error value; is the weight coefficient No. 1; is the second weight coefficient; is the third preset constant; It is the fourth preset constant.

[0013] A method for monitoring faults of distribution network box-type equipment comprises the following steps: S1: Collecting first information data corresponding to the power distribution input terminal through the input terminal information collection unit; S2: second information data through the output terminal information collection unit and the power distribution output terminal; S3: Collect environmental information data around the distribution network box-type equipment through the environment collection unit; S4: The analysis module analyzes the first information data, the second information data and the environmental information data to determine whether there is a fault in the distribution network box-type equipment; if the judgment result is that there is a fault, an early warning is issued.

[0014] Beneficial effects of the present invention: The present invention collects first information data corresponding to the power distribution input end through an input end information collection unit; collects second information data corresponding to the output end through an output end information collection unit; collects environmental information data around the distribution network box-type equipment through an environment collection unit; finally, an analysis module performs analysis based on the first information data, the second information data and the environmental information data to determine whether there is a fault in the distribution network box-type equipment; the fault is discovered in time, and the fault information is sent to management personnel, so that the management personnel can repair the fault in time to prevent accidents. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] The present invention will be further described below in conjunction with the accompanying drawings.

[0016] Figure 1 A system module framework diagram of an embodiment of the present invention; Figure 2 The present invention is a method flow chart of an embodiment of the present invention. DETAILED DESCRIPTION

[0017] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions 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.

[0018] See also Figure 1 As shown, in one embodiment, a distribution network box-type equipment fault monitoring system is provided, which is applied to a distribution network box-type equipment, wherein the distribution network box-type equipment includes a box body, a plurality of distribution input terminals and a plurality of distribution output terminals arranged on the box body; the fault monitoring system includes: An information collection module, including a plurality of input terminal information collection units, a plurality of input terminal information collection units and an environment collection unit; The input terminal information collection unit corresponds to the power distribution input terminal one by one, and is used to collect first information data of the corresponding power distribution input terminal; The output terminal information collection unit corresponds to the power distribution output terminal one by one, and is used to collect the second information data of the corresponding output terminal; The environment collection unit is used to collect environmental information data around the distribution network box-type equipment; An analysis module, used to analyze the first information data, the second information data and the environmental information data to determine whether there is a fault in the distribution network box-type equipment; Through the above technical scheme, this embodiment collects the first information data of the corresponding distribution input end through the input end information collection unit; collects the second information data of the corresponding output end through the output end information collection unit; collects the environmental information data around the distribution network box-type equipment through the environment collection unit; finally, the analysis module analyzes the first information data, the second information data and the environmental information data to determine whether there is a fault in the distribution network box-type equipment; realizes timely detection of faults, and sends the fault information to the management personnel, so that the management personnel can repair the faults in time to prevent accidents.

[0019] As an implementation mode of the present invention, the first information data includes real-time input power; the second information data includes output power and output voltage; the environmental information data includes environmental temperature and environmental humidity; Through the above technical solution, this embodiment sets an electric meter at each power distribution output end and power distribution input end to obtain input power, output power and output voltage, and sets a temperature sensor and a humidity sensor on the box to obtain the ambient temperature and ambient humidity.

[0020] As an implementation manner of the present invention, the analysis process of the analysis module includes the following steps: S10: Obtaining a loss deviation index by analyzing input power of each power distribution input terminal, output power of each power distribution output terminal, and environmental information data; S20: Analyzing the output voltage of each power distribution output terminal to obtain a voltage fault index; S30: Obtain a fault judgment index by analyzing the voltage fault index and the loss deviation index, and judge whether there is a fault in the distribution network box-type equipment according to the fault judgment index; Through the above technical scheme, this embodiment first analyzes the input power of each distribution input terminal, the output power of each distribution output terminal and the environmental information data to obtain the loss deviation index; then analyzes the output voltage of each distribution output terminal to obtain the voltage fault index; finally, the voltage fault index and the loss deviation index are analyzed to obtain the fault judgment index, and whether there is a fault in the distribution network box-type equipment is judged according to the fault judgment index; the fault is discovered in time, and the fault information is sent to the management personnel, so that the management personnel can repair the fault in time to prevent accidents.

[0021] As an embodiment of the present invention, the loss deviation index is obtained by the formula: Calculating the loss deviation index ; in, is the number of input terminals of the distribution network box-type equipment, ; is the number of output terminals of the distribution network box-type equipment, ; Randomly selected time periods, ; For the randomly selected The start time of a time period; For the randomly selected The length of the time period; For the The real-time input power curve of each input terminal changes with time; For the The real-time output power curve of each output terminal changes with time; is the current preset loss rate; Through the above technical solution, this embodiment For the randomly selected In the time period The accumulated amount of input power at each input terminal; For the randomly selected In the time period The accumulated amount of input power at each input terminal; For the randomly selected The accumulated amount of input power at all input terminals within a time period; For the randomly selected The cumulative output power of all output terminals in a time period; For the randomly selected The difference between the accumulated input power of all input terminals and the accumulated output power of all output terminals in a time period; For the randomly selected The loss rate of distribution network box-type equipment within a time period; Randomly selected for distribution network box equipment The average loss rate for a period of time; Randomly selected for distribution network box equipment The difference between the average loss rate in a time period and the current preset loss rate; when When , it means that the average loss rate is greater than the current preset loss rate, so the possibility of equipment failure is high, and the distribution network box equipment is randomly selected. The difference between the average loss rate of a time period and the current preset loss rate The larger the loss deviation index The bigger; when When , it means that the average loss rate is less than the current preset loss rate, so the possibility of equipment failure is small, and the distribution network box equipment is randomly selected. The difference between the average loss rate of a time period and the current preset loss rate The larger the absolute value of The smaller.

[0022] As an implementation mode of the present invention, the voltage fault index is obtained by the formula: Calculating the Voltage Fault Index ; in, is the first judgment function, when hour, ;when hour, ; For the The real-time output voltage curve of each output terminal changes with time; Preset output voltage for output terminal; is a first preset error value; is a second preset error value; For the The output terminals are The maximum value of the deviation between the real-time output voltage and the preset output voltage in a randomly selected time period; is the first weight coefficient; is the second weight coefficient; is the first preset constant; is the second preset constant; Through the above technical solution, this embodiment For the The output terminal is randomly selected The cumulative output voltage within a time period; For the The output terminal is randomly selected The average output voltage in a time period; For the The output terminals are randomly selected The average output voltage in a time period; For the The output terminals are randomly selected The absolute value of the first difference between the average output voltage in a time period and the preset output voltage at the output terminal indicates the first The output terminals are randomly selected The deviation between the average output voltage in a time period and the preset output voltage at the output end; For the The output terminals are randomly selected a second difference between an absolute value of a first difference between an average output voltage in a time period and a preset output voltage at the output terminal and a first preset error value; The first judgment function In In the formula Middle Reference ; when , explain The output terminals are randomly selected The deviation between the average output voltage in a time period and the preset output voltage at the output terminal is within a first preset error value, so there is no fault. ; when , explain The output terminals are randomly selected The deviation between the average output voltage in a time period and the preset output voltage at the output terminal exceeds the first preset error value, so there may be a fault. ; And the first The output terminals are randomly selected The second difference between the absolute value of the first difference between the average output voltage in a time period and the preset output voltage at the output terminal and the first preset error value The larger the voltage fault index The bigger; is a randomly selected output terminal that may have a fault The cumulative value of the deviation between the average output voltage in a time period and the preset output voltage at the output end; The larger the value, the greater the probability of failure. Therefore, the voltage failure index The bigger; For the The output terminals are a third difference between the maximum deviation between the real-time output voltage and the preset output voltage in a randomly selected time period and the second preset error value; The output terminals are The maximum deviation between the real-time output voltage and the preset output voltage in a randomly selected time period is calculated by The real-time output voltage variation curve over time in a randomly selected time period and the preset output voltage at the output end are analyzed and obtained. The specific analysis process is the existing technology and will not be described in detail here. The first judgment function In In the formula Middle Reference ; when , explain The output terminals are The maximum value of the deviation between the real-time output voltage and the preset output voltage in a randomly selected time period is within the second preset error value, so there is no fault. ; when , explain The output terminals are The maximum value of the deviation between the real-time output voltage and the preset output voltage in a randomly selected time period exceeds the second preset error value, so there may be a fault. ; No. The output terminals are The third difference between the maximum deviation between the real-time output voltage and the preset output voltage in a randomly selected time period and the second preset error value The larger the value, the greater the possibility of a fault. Therefore, the voltage fault index The bigger; For output terminals that may have a fault a cumulative value of a third difference between a maximum deviation of the real-time output voltage and the preset output voltage and a second preset error value within a randomly selected time period; The output terminal that may have a fault is The cumulative value of the third difference between the maximum deviation of the real-time output voltage and the preset output voltage in a randomly selected time period and the second preset error value The larger the voltage fault index The bigger; It should be noted that the preset output voltage , the first preset error value , the second preset error value , the first weight coefficient , the second weight coefficient , the first preset constant and the second preset constant It is a preset value obtained based on experience and will not be described in detail here.

[0023] As an implementation mode of the present invention, the fault judgment index is obtained by the formula Calculate the fault judgment index ; in, is the second judgment function, when hour, ;when hour, ; when When the box-type equipment of the distribution network is faulty, the box-type equipment of the distribution network is faulty; otherwise, the box-type equipment of the distribution network is faulty; Through the above technical solution, the second judgment function of this embodiment In In the formula Middle Reference ; when When the distribution network box-type equipment has a small loss deviation, the possibility of failure is low. ; when When the power distribution network box-type equipment has a large loss deviation, the possibility of failure is high. ; The second judgment function In In the formula Middle Reference ; when When the voltage of the distribution network box-type equipment fails, the possibility of voltage failure is small. ;when When the voltage of the distribution network box-type equipment is high, it indicates that the possibility of voltage failure is high. ; Therefore, when ,Right now When the power distribution network box-type equipment is faulty, the power distribution network box-type equipment is faulty; otherwise, the power distribution network box-type equipment is faulty.

[0024] As an implementation mode of the present invention, the current preset loss rate The following steps are involved: S100: Obtaining a preset loss change curve of the loss rate of the distribution network box-type equipment under a preset state versus the usage time ; S200: By formula:

[0025] Calculate the current preset loss rate ; in, The usage time of the distribution network box-type equipment; It is the preset loss rate under the preset state of current usage duration; is the current time; is the temperature variation curve of ambient temperature over time; is the preset temperature; is a third preset error value; It is the humidity variation curve of ambient humidity over time; is a third preset error value; is the weight coefficient No. 1; is the second weight coefficient; is the third preset constant; is the fourth preset constant; Through the above technical solution, this embodiment The use time of box-type equipment in the distribution network During the process, the ambient temperature and the preset temperature The difference exceeds the temperature accumulation value of the third preset error value; Temperature accumulation value The larger the value, the longer the box-type equipment in the distribution network is used. During the process, the greater the deviation between the ambient temperature and the preset temperature, the faster the aging of the distribution network box equipment will be. Therefore, the current preset loss rate The bigger; The use time of box-type equipment in the distribution network During the process, the ambient humidity and the preset humidity The difference exceeds the humidity accumulation value of a fourth preset error value; Humidity cumulative value The larger the value, the longer the box-type equipment in the distribution network is used. During the process, the greater the deviation between the ambient humidity and the preset humidity, the faster the aging of the distribution network box equipment will be. Therefore, the current preset loss rate The bigger; It should be noted that the preset temperature , the third preset error value , the fourth preset error value , weight coefficient No. 1 , weight coefficient No. 2 , the third preset constant and the fourth preset constant is the preset value, obtained based on experience; the loss rate of the distribution network box-type equipment in the preset state changes with the preset loss change curve of the usage time The preset loss rate under the preset state of current usage duration is obtained through experiments According to the preset loss change curve The method for obtaining is prior art and will not be described in detail here.

[0026] See also Figure 2 As shown, a method for monitoring faults of distribution network box-type equipment includes the following steps: S1: Collecting first information data corresponding to the power distribution input terminal through the input terminal information collection unit; S2: second information data through the output terminal information collection unit and the power distribution output terminal; S3: Collect environmental information data around the distribution network box-type equipment through the environment collection unit; S4: The analysis module analyzes the first information data, the second information data and the environmental information data to determine whether there is a fault in the distribution network box-type equipment; if the judgment result is that there is a fault, an early warning is issued.

[0027] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A distribution network box-type equipment fault monitoring system, applied to a distribution network box-type equipment, the distribution network box-type equipment comprising a box body, a plurality of distribution input terminals and a plurality of distribution output terminals arranged on the box body, characterized in that: The fault monitoring system comprises: An information collection module, including a plurality of input terminal information collection units, a plurality of input terminal information collection units and an environment collection unit; The input terminal information collection unit corresponds to the power distribution input terminal one by one, and is used to collect first information data of the corresponding power distribution input terminal; The output terminal information collection unit corresponds to the power distribution output terminal one by one, and is used to collect the second information data of the corresponding output terminal; The environment collection unit is used to collect environmental information data around the distribution network box-type equipment; The analysis module is used to analyze the first information data, the second information data and the environmental information data to determine whether there is a fault in the distribution network box-type equipment.

2. A distribution network box-type equipment fault monitoring system according to claim 1, characterized in that: The first information data includes real-time input power; the second information data includes output power and output voltage; and the environmental information data includes environmental temperature and environmental humidity.

3. A distribution network box-type equipment fault monitoring system according to claim 2, characterized in that: The analysis process of the analysis module includes the following steps: S10: Obtaining a loss deviation index by analyzing input power of each power distribution input terminal, output power of each power distribution output terminal, and environmental information data; S20: Analyzing the output voltage of each power distribution output terminal to obtain a voltage fault index; S30: Obtain a fault judgment index by analyzing the voltage fault index and the loss deviation index, and judge whether there is a fault in the distribution network box-type equipment according to the fault judgment index.

4. A distribution network box-type equipment fault monitoring system according to claim 3, characterized in that: The loss deviation index is given by the formula: Calculating the loss deviation index ; in, is the number of input terminals of the distribution network box-type equipment, ; is the number of output terminals of the distribution network box-type equipment, ; is a randomly selected time period, ; For the randomly selected The start time of a time period; For the randomly selected The length of the time period; For the The real-time input power curve of each input terminal changes with time; For the The real-time output power curve of each output terminal changes with time; The current preset loss rate.

5. A distribution network box-type equipment fault monitoring system according to claim 4, characterized in that: The voltage fault index is given by the formula: Calculating the Voltage Fault Index ; in, is the first judgment function, when hour, ;when hour, ; For the The real-time output voltage curve of each output terminal changes with time; Preset output voltage for output terminal; is a first preset error value; is a second preset error value; For the The output terminals are The maximum value of the deviation between the real-time output voltage and the preset output voltage in a randomly selected time period; is the first weight coefficient; is the second weight coefficient; is the first preset constant; is the second preset constant.

6. A distribution network box-type equipment fault monitoring system according to claim 5, characterized in that: The fault judgment index is obtained by the formula: Calculate the fault judgment index ; in, is the second judgment function, when hour, ;when hour, ; when When the power distribution network box-type equipment is faulty, the power distribution network box-type equipment is faulty; otherwise, the power distribution network box-type equipment is faulty.

7. A distribution network box-type equipment fault monitoring system according to claim 6, characterized in that: Current preset loss rate The following steps are involved: S100: Obtaining a preset loss change curve of the loss rate of the distribution network box-type equipment under a preset state versus the usage time ; S200: By formula: Calculate the current preset loss rate ; in, The usage time of the distribution network box-type equipment; It is the preset loss rate under the preset state of current usage duration; is the current time; is the temperature variation curve of ambient temperature over time; is the preset temperature; is a third preset error value; It is the humidity variation curve of ambient humidity over time; is a third preset error value; is the weight coefficient No. 1; is the second weight coefficient; is the third preset constant; It is the fourth preset constant.

8. A distribution network box-type equipment fault monitoring method, applicable to a distribution network box-type equipment fault monitoring system according to any one of claims 1 to 7, characterized in that: The following steps are involved: S1: Collecting first information data corresponding to the power distribution input terminal through the input terminal information collection unit; S2: second information data through the output terminal information collection unit and the power distribution output terminal; S3: Collect environmental information data around the distribution network box-type equipment through the environment collection unit; S4: The analysis module analyzes the first information data, the second information data and the environmental information data to determine whether there is a fault in the distribution network box-type equipment; if the judgment result is that there is a fault, an early warning is issued.

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