Power transmission line safety early warning system based on big data

Abstract

The invention discloses a power transmission line safety early warning system based on big data, and particularly relates to the field of power, and the system comprises a time region division module, a line data collection module, a line data preprocessing module, a line data analysis module, a line comprehensive evaluation value calculation module, an operation state analysis module, a safety early warning module, and a man-machine interaction module. According to the invention, the operation time of the power transmission line is divided into sub-regions through the time region division module, the safety of the power transmission line is evaluated in three dimensions of environment stability, wire safety and power quality of the power transmission line, and the safety evaluation of the power transmission line is deeply analyzed; evaluation values, including an environment stability evaluation value, a lead safety evaluation value and a power quality evaluation value, of each sub-time region are extracted through a specific mathematical model, a comprehensive evaluation value analysis model is utilized to calculate a safety comprehensive evaluation index of the target power transmission line, and the accuracy of safety early warning of the system is improved.

Description

Technical Field

[0001] The present invention relates to the field of electric power technology, and more specifically, to a transmission line safety early warning system based on big data. Background Art

[0002] With the rapid development of the electric power industry, the scale of the power grid continues to expand. As an important part of the power system, the safe operation of transmission lines is of great significance to ensuring power supply, maintaining social stability and economic development. However, transmission lines span a wide area and a complex environment. They are easily affected by various factors such as natural disasters and external force damage, resulting in frequent line failures. Therefore, the power system has put forward higher requirements for the safety monitoring and early warning of transmission lines.

[0003] Traditional power transmission line safety warning systems generally use simple sensors for monitoring, including data acquisition modules, data analysis modules and safety warning modules. The data acquisition module uses many sensors, such as temperature sensors and humidity sensors, which can monitor the operating status and environmental conditions of the line in real time; the data analysis module is used to analyze the data from the data acquisition module, clean and integrate the temperature, humidity and electricity to obtain useful information, and store it in a database; the safety warning module warns of abnormal data stored in the database, and combines the experience of operation and maintenance personnel to predict and judge the operating status of the line based on the historical operating data, fault records and current environmental conditions of the line.

[0004] However, there are still some shortcomings in its actual use. For example, the use of traditional sensors in data acquisition modules can usually only monitor one or several parameters, which makes it difficult to fully reflect the operating status of the line and the sensor performance is limited; traditional sensors usually use wired transmission methods, and the data transmission distance and speed are limited, which makes it difficult to meet the needs of real-time monitoring and early warning; since the warning accuracy of traditional safety early warning modules is often low, false alarms or missed alarms are prone to occur; the operating environment and conditions of different lines are different, and the safety early warning module based on experience judgment is difficult to adapt to the conditions of all lines; therefore, the traditional transmission line safety early warning system has certain limitations in ensuring the safe operation of the line. Summary of the invention

[0005] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides a transmission line safety warning system based on big data, which solves the problems raised in the above-mentioned background technology through the following scheme.

[0006] To achieve the above object, the present invention provides the following technical solution: a transmission line safety early warning system based on big data, comprising:

[0007] Time zone division module: The terminal equipment of the transmission line is set as the monitoring area, and the monitoring area is divided into sub-time zones by equal time division, which are numbered 1, 2, ..., i, ..., n in sequence;

[0008] Line data acquisition module: collects data for each sub-time zone respectively to obtain line data for each sub-time zone, wherein the line data includes environmental stability data, conductor safety data and power quality data;

[0009] Line data preprocessing module: used to preprocess the collected line data and transmit the preprocessed data to the line data analysis module;

[0010] Line data analysis module: analyzes the data preprocessed by the line data preprocessing module through the corresponding mathematical models in each analysis unit, and transmits the analysis results to the line comprehensive evaluation value calculation module;

[0011] Line comprehensive evaluation value calculation module: including a comprehensive evaluation value analysis model, which is used to conduct a comprehensive analysis on the data of the target transmission line, import the data transmitted by the line data analysis module into the comprehensive evaluation value analysis model, calculate the comprehensive safety evaluation index of the target transmission line, and transmit it to the operation status analysis module;

[0012] Operation status analysis module: establishes a comprehensive safety assessment threshold, compares the comprehensive safety assessment threshold with the comprehensive safety assessment index of the target transmission line, determines the operation status of the target transmission line, and transmits the operation status of the target transmission line to the safety warning module;

[0013] Safety warning module: issues safety warnings based on target transmission lines in different operating states;

[0014] Human-computer interaction module: Displays the operation status of the transmission line on the terminal display screen and sends it to the operation and maintenance personnel terminal in a preset summary manner.

[0015] Preferably, the terminal devices are distributed at key positions of the transmission lines, including cable joints, towers, insulators and line crossing points. The terminal devices include high-precision sensors, a system central processor, a system operation database, an operation and maintenance personnel terminal and a power supply unit. The high-precision sensors are responsible for real-time collection of line data. The system central processor is used to centrally control the information text instructions output during the entire control process. The system operation database includes all data texts of the transmission line safety early warning system, and collects the information text output by each module in real time. The operation and maintenance personnel terminal is an information output device for receiving the transmission line safety early warning system, and the power supply unit provides stable power support for the entire terminal. The equal time division of each sub-time area selects the appropriate division time accuracy according to actual needs, including every hour, every minute, every half minute, every second and every half second.

[0016] Preferably, the line data acquisition module high-precision sensor collects line data of the monitoring area, including an environmental stability data acquisition unit, a conductor safety data acquisition unit, a power quality data acquisition unit and a line data transmission unit. The environmental stability data acquisition unit is used to collect environmental stability data, including the introduction terminal temperature, insulation body temperature, transmission line surface humidity and temperature gradient. The conductor safety data acquisition unit is used to collect conductor safety data, including conductor tension, conductor sag and conductor temperature. The power quality data acquisition unit is used to collect power quality data, including transmission active power, transmission voltage in-line power, voltage harmonics, current harmonics, phase current peak and three-phase average current.

[0017] Preferably, the line data preprocessing module includes a line data receiving unit, an environmental stability data preprocessing unit, a wire safety data preprocessing unit, a power quality data preprocessing unit and a data output unit. The line data receiving unit is used to receive data collected by the line data acquisition module; the environmental stability data preprocessing unit classifies and summarizes the collected environmental stability data to obtain the standard deviation of the introduction terminal temperature, the average value of the introduction terminal temperature, the standard deviation of the insulation temperature, the average value of the insulation temperature, the relative humidity and the temperature gradient change rate, which are respectively recorded as Cs, Cm, As, Am, Rh and Gt; the wire safety data preprocessing unit classifies and summarizes the collected wire safety data to obtain the wire wear, the wire temperature fluctuation value and the wire temperature average value, which are respectively recorded as Wb, Ws and Wm; the power quality data preprocessing unit classifies and summarizes the collected power quality data to obtain the harmonic distortion, the harmonic distortion rate, the power factor and the three-phase imbalance, which are respectively recorded as Fd, Fp, cosφ and Fl; the data output unit is used to transmit the preprocessed line data to the line data analysis module

[0018] Preferably, the environmental stability data preprocessing unit introduces the terminal temperature C in the i-th sub-time zone.i The standard deviation of the incoming terminal temperature and the average value of the incoming terminal temperature are calculated respectively, which can be expressed as follows: The temperature of the adiabatic body passing through the i-th sub-time zone is A i The standard deviation of the adiabatic body temperature and the average value of the adiabatic body temperature are calculated respectively, which can be expressed as follows: The surface humidity Ho of the transmission line passing through the i-th sub-time zone i and temperature gradient To i The temperature gradient change rate is calculated, which is specifically expressed as:

[0019]

[0020] Preferably, the conductor safety data preprocessing unit measures the conductor tension Tb in the i-th sub-time zone. i and wire curvature Sb i The wire wear rate is calculated and expressed as: The wire temperature W passing through the i-th sub-time zone i Calculate the conductor temperature fluctuation value and the conductor temperature average value, which can be expressed as:

[0021] Preferably, the power quality data preprocessing unit transmits active power P o And the input TV at power S o Calculate the power factor, which is specifically expressed as: cosφ=P o / S o ; The harmonic distortion is calculated by the voltage harmonic Udi and fundamental frequency amplitude Ubi in the i-th sub-time zone, which is specifically expressed as: The harmonic distortion rate is calculated by the maximum current harmonic value Idi and the fundamental current value Ibi in the i-th sub-time zone, which is specifically expressed as: The phase current peak value Pv and the three-phase average current Pa passing through the i-th sub-time zone are specifically expressed as:

[0022] Preferably, the line data analysis module includes a line data receiving unit, an environmental stability data analysis unit, a conductor safety data analysis unit and a power quality data analysis unit. The specific analysis process is as follows:

[0023] Line data receiving unit: used for receiving line data transmitted by the line data preprocessing module;

[0024] Environmental stability data analysis unit: used to analyze environmental stability data, establish an environmental stability data analysis model, and calculate the environmental stability assessment value of each sub-time zone based on the standard deviation of the introduced terminal temperature, the average value of the introduced terminal temperature, the standard deviation of the insulation temperature, the average value of the insulation temperature, the relative humidity, and the temperature gradient change rate. The specific analysis formula is:

[0025]

[0026] Among them, Cs i represents the standard deviation of the input terminal temperature in the ith sub-time zone, Cm represents the average value of the input terminal temperature, and C i represents the input terminal temperature in the ith sub-time zone, As i represents the standard deviation of the adiabatic body temperature in the ith sub-time zone, Am represents the average adiabatic body temperature, and A i represents the adiabatic temperature of the ith sub-time region, Gt i represents the temperature gradient change rate of the i-th sub-time region;

[0027] Conductor safety data analysis unit: used to analyze conductor safety data, establish a conductor safety data analysis model, and calculate the conductor safety assessment value of each sub-time zone based on conductor wear, conductor temperature fluctuation value and conductor temperature average value. The specific analysis formula is as follows:

[0028]

[0029] Where Z i represents the conductor safety assessment value of the ith sub-time zone, Wm i represents the conductor temperature in the ith sub-time zone, Wm represents the average conductor temperature, and Ws i represents the conductor temperature fluctuation value in the i-th sub-time zone, Ws i-1 represents the conductor temperature fluctuation value in the i-1th sub-time zone, Wb i represents the wire wear degree in the i-th sub-time zone;

[0030] Power quality data analysis unit: used to analyze power quality data, establish a power quality data analysis model, and calculate the power quality assessment value of each sub-time zone based on harmonic distortion, harmonic distortion rate, power factor and three-phase imbalance. The specific analysis formula is:

[0031]

[0032] Where n represents the total number of sub-time zones divided into the monitoring area, cosφ represents the power factor, Fd i Indicates the harmonic distortion of the ith sub-time region, Fpi represents the harmonic distortion rate of the ith sub-time region, Fl i represents the three-phase unbalance degree of the i-th sub-time zone;

[0033] Data transmission unit: transmits the analyzed data to the line comprehensive evaluation value calculation module.

[0034] Preferably, the line comprehensive evaluation value calculation module establishes a comprehensive evaluation value analysis model based on the environmental stability evaluation value, the conductor safety evaluation value and the power quality evaluation value, and calculates the safety comprehensive evaluation index, and its specific calculation formula is: Where P represents the comprehensive safety assessment index of the target transmission line, Y i represents the environmental stability assessment value of the ith sub-time zone, Z i represents the conductor safety assessment value of the ith sub-time zone, T i represents the power quality assessment value of the i-th sub-time zone, λ1, λ2 and λ3 are proportional coefficients corresponding to different assessment values, λ1>0, λ2>0, λ3>0.

[0035] Preferably, the comprehensive safety assessment threshold is specifically expressed as: yu =λ1×Y yu +λ2×Z yu +λ3×T yu , where Y yu represents the environmental stability threshold, Z yu Indicates the conductor safety threshold, T yu represents the power quality threshold, λ1, λ2 and λ3 are the proportional coefficients corresponding to different evaluation values, λ1>0, λ2>0, λ3>0, and the safety comprehensive evaluation threshold is compared with the safety comprehensive evaluation index of the target transmission line; if P<P yu , indicating that the comprehensive safety assessment threshold is greater than the comprehensive safety assessment index of the target transmission line, the target transmission line is safe, and the target transmission line is marked as in good condition; if P = P yu , indicating that the comprehensive safety assessment threshold is equal to the comprehensive safety assessment index of the target transmission line, the target transmission line is safe, and the target transmission line is marked as normal at this time; if P>P yu , indicating that the comprehensive safety assessment threshold is less than the comprehensive safety assessment index of the target transmission line, then the target transmission line is in an abnormal state, and the target transmission line is marked as an abnormal state at this time.

[0036] Preferably, the safety warning module includes a first warning unit and a second warning unit, the first warning unit is used to receive the target transmission line marked as being in a good state, and update the safety comprehensive evaluation index in the good state to a new safety comprehensive evaluation threshold; the second warning unit is used to receive the target transmission line marked as being in an abnormal state, and issue a warning to the operation and maintenance personnel terminal.

[0037] Technical effects and advantages of the present invention:

[0038] 1. The present invention divides the operation time of the transmission line into sub-areas through the time area division module, and each sub-time area operates independently, ensuring that the data can be processed efficiently; the transmission line safety is evaluated in real time and accurately in three dimensions of environmental stability, wire safety and power quality through high-precision sensors, ensuring the comprehensiveness and accuracy of the data source, and laying a solid data foundation for subsequent data analysis; the environmental stability, wire safety and power quality are deeply analyzed through the line data analysis module, and the evaluation values ​​of each sub-time area are extracted through a specific mathematical model, including the environmental stability evaluation value, the wire safety evaluation value and the power quality evaluation value. The modular design enhances the flexibility and scalability of the system;

[0039] 2. The comprehensive evaluation value calculation module of the line integrates the evaluation values ​​of various types of data, and uses the comprehensive evaluation value analysis model to calculate the comprehensive safety evaluation index of the target transmission line, which comprehensively reflects the safety status of the transmission line and provides a scientific basis for the overall operation status; the operation status analysis module compares the comprehensive safety evaluation threshold with the comprehensive safety evaluation index of the target transmission line to judge the operation status of the target transmission line, and makes corresponding warning signals according to different operation statuses, thereby improving the accuracy of the system's safety warning. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 It is a schematic diagram of the overall structure of the present invention.

[0041] Figure 2 It is a flow chart of the system operation of the present invention. DETAILED DESCRIPTION

[0042] 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.

[0043] As attached Figure 1A transmission line safety warning system based on big data is shown, including a time zone division module, a line data acquisition module, a line data preprocessing module, a line data analysis module, a line comprehensive evaluation value calculation module, an operation status analysis module, a safety warning module, and a human-computer interaction module.

[0044] The time area division module sets the location where the terminal equipment is installed on the transmission line as the monitoring area, and divides the monitoring area into various sub-time areas by equal time division, which are numbered 1, 2, ..., i, ..., n in sequence.

[0045] In this embodiment, it should be specifically explained that the terminal equipment is distributed at key positions of the transmission line, including cable joints, towers, insulators and line crossing points. The terminal equipment includes high-precision sensors, a system central processor, a system operation database, an operation and maintenance personnel terminal and a power supply unit. The high-precision sensor is responsible for real-time collection of line data. The system central processor is used to centrally control the information text instructions output during the entire control process. The system operation database includes all data texts of the transmission line safety early warning system, and collects the information text output by each module in real time. The operation and maintenance personnel terminal is an information output device for receiving the transmission line safety early warning system, and the power supply unit provides stable power support for the entire terminal; the equal time division of each sub-time area selects the appropriate division time accuracy according to actual needs, including every hour, every minute, every half minute, every second and every half second.

[0046] The line data acquisition module collects data for each sub-time zone respectively to obtain line data for each sub-time zone, wherein the line data includes environmental stability data, conductor safety data and power quality data.

[0047] In this embodiment, it is necessary to specifically explain that the line data acquisition module high-precision sensor collects line data of the monitoring area, including an environmental stability data acquisition unit, a conductor safety data acquisition unit, a power quality data acquisition unit and a line data transmission unit. The environmental stability data acquisition unit is used to collect environmental stability data, including the introduction terminal temperature, the insulation temperature, the surface humidity of the transmission line and the temperature gradient. The conductor safety data acquisition unit is used to collect conductor safety data, including conductor tension, conductor sag and conductor temperature. The power quality data acquisition unit is used to collect power quality data, including transmission active power, transmission voltage in-use power, voltage harmonics, current harmonics, phase current peak and three-phase average current.

[0048] Furthermore, by installing optical fiber sensors in the monitoring area to detect changes in light intensity, determine temperature changes, collect terminal temperatures, insulation temperatures, and conductor temperatures, and use humidity sensors to collect real-time surface humidity on the transmission line; the temperature gradient is measured by arranging multiple temperature sensors at different locations on the transmission line to measure the temperature at different locations, and using big data technology to obtain historical temperatures to reflect changes in temperature gradients; the conductor tension is measured by installing tension sensors to sense changes in the conductor tension in real time and convert them into electrical signals, which are usually installed at the connection point between the conductor and the tower or insulator string to ensure that changes in the conductor tension can be accurately captured; the conductor sag is measured by wireless Line sensing and wireless communication technology monitors the sag state of the conductor in real time; the active power of transmission is the power actually used to do work in the power grid, the real power of transmission is the consumption of all electric energy in the power grid, the voltage harmonics are the voltages of other frequency components in the voltage waveform except the fundamental wave, and the current harmonics are the currents of other frequency components in the current waveform except the fundamental wave, which are measured by the power quality monitoring device; the phase current peak is the maximum value reached by a certain phase current in a cycle, and the current waveform is observed and recorded by an oscilloscope to obtain the phase current peak; the three-phase average current is the average value of the three-phase current, and the three-phase current is collected simultaneously by the power parameter measuring instrument, and the three-phase average current is calculated.

[0049] The line data preprocessing module is used to preprocess the collected line data and transmit the preprocessed data to the line data analysis module.

[0050] In this embodiment, it should be specifically explained that the line data preprocessing module includes a line data receiving unit, an environmental stability data preprocessing unit, a wire safety data preprocessing unit, a power quality data preprocessing unit and a data output unit. The line data receiving unit is used to receive the data collected by the line data acquisition module; the environmental stability data preprocessing unit classifies and summarizes the collected environmental stability data to obtain the standard deviation of the incoming terminal temperature, the average value of the incoming terminal temperature, the standard deviation of the insulation temperature, the average value of the insulation temperature, the relative humidity and the temperature gradient change rate, which are respectively recorded as Cs, Cm, As, Am, Rh and Gt; the wire safety data preprocessing unit classifies and summarizes the collected wire safety data to obtain the wire wear, the wire temperature fluctuation value and the wire temperature average value, which are respectively recorded as Wb, Ws and Wm; the power quality data preprocessing unit classifies and summarizes the collected power quality data to obtain the harmonic distortion, the harmonic distortion rate, the power factor and the three-phase imbalance, which are respectively recorded as Fd, Fp, cosφ and Fl.

[0051] Furthermore, the environmental stability data preprocessing unit introduces the terminal temperature C in the i-th sub-time zone. iThe standard deviation of the incoming terminal temperature and the average value of the incoming terminal temperature are calculated respectively, which can be expressed as follows: The temperature of the adiabatic body passing through the i-th sub-time zone is A i The standard deviation of the adiabatic body temperature and the average value of the adiabatic body temperature are calculated respectively, which can be expressed as follows: The surface humidity Ho of the transmission line passing through the i-th sub-time zone i and temperature gradient To i The temperature gradient change rate is calculated, which is specifically expressed as: The conductor safety data preprocessing unit calculates the conductor tension Tb in the i-th sub-time zone. i and wire curvature Sb i The wire wear rate is calculated and expressed as: The wire temperature W passing through the i-th sub-time zone i Calculate the conductor temperature fluctuation value and the conductor temperature average value, which can be expressed as: The power quality data preprocessing unit transmits active power P o And the input TV at power S o Calculate the power factor, which is specifically expressed as: cosφ=P o / S o ; The harmonic distortion is calculated by the voltage harmonic Udi and fundamental frequency amplitude Ubi in the i-th sub-time zone, which is specifically expressed as: The harmonic distortion rate is calculated by the maximum current harmonic value Idi and the fundamental current value Ibi in the i-th sub-time zone, which is specifically expressed as: The phase current peak value Pv and the three-phase average current Pa passing through the i-th sub-time zone are specifically expressed as:

[0052] The line data analysis module analyzes the data preprocessed by the line data preprocessing module through the corresponding mathematical models in each analysis unit, and transmits the analysis results to the line comprehensive evaluation value calculation module.

[0053] In this embodiment, it should be specifically explained that the line data analysis module includes a line data receiving unit, an environmental stability data analysis unit, a conductor safety data analysis unit, and a power quality data analysis unit. The specific analysis process is as follows:

[0054] Line data receiving unit: used for receiving line data transmitted by the line data preprocessing module;

[0055] Environmental stability data analysis unit: used to analyze environmental stability data, establish an environmental stability data analysis model, and calculate the environmental stability assessment value of each sub-time zone based on the standard deviation of the introduced terminal temperature, the average value of the introduced terminal temperature, the standard deviation of the insulation temperature, the average value of the insulation temperature, the relative humidity, and the temperature gradient change rate. The specific analysis formula is:

[0056]

[0057] Among them, Cs i represents the standard deviation of the input terminal temperature in the ith sub-time zone, Cm represents the average value of the input terminal temperature, and C i represents the input terminal temperature in the ith sub-time zone, As i represents the standard deviation of the adiabatic body temperature in the ith sub-time zone, Am represents the average adiabatic body temperature, and A i represents the adiabatic temperature of the ith sub-time region, Gt i represents the temperature gradient change rate of the i-th sub-time region;

[0058] Conductor safety data analysis unit: used to analyze conductor safety data, establish a conductor safety data analysis model, and calculate the conductor safety assessment value of each sub-time zone based on conductor wear, conductor temperature fluctuation value and conductor temperature average value. The specific analysis formula is as follows:

[0059]

[0060] Where Z i represents the conductor safety assessment value of the ith sub-time zone, Wm i represents the conductor temperature in the ith sub-time zone, Wm represents the average conductor temperature, and Ws i represents the conductor temperature fluctuation value in the i-th sub-time zone, Ws i-1 represents the conductor temperature fluctuation value in the i-1th sub-time zone, Wb i represents the wire wear degree in the i-th sub-time zone;

[0061] Power quality data analysis unit: used to analyze power quality data, establish a power quality data analysis model, and calculate the power quality assessment value of each sub-time zone based on harmonic distortion, harmonic distortion rate, power factor and three-phase imbalance. The specific analysis formula is:

[0062]

[0063] Where n represents the total number of sub-time zones divided into the monitoring area, cosφ represents the power factor, Fd i Indicates the harmonic distortion of the ith sub-time region, Fpi represents the harmonic distortion rate of the ith sub-time region, Fl i represents the three-phase unbalance degree of the i-th sub-time zone;

[0064] Data transmission unit: transmits the analyzed data to the line comprehensive evaluation value calculation module.

[0065] The line comprehensive evaluation value calculation module includes a comprehensive evaluation value analysis model, which is used to conduct a comprehensive analysis on the data of the target transmission line. The data transmitted by the line data analysis module is imported into the comprehensive evaluation value analysis model, and the safety comprehensive evaluation index of the target transmission line is calculated and transmitted to the operation status analysis module.

[0066] In this embodiment, it should be specifically explained that the line comprehensive evaluation value calculation module establishes a comprehensive evaluation value analysis model based on the environmental stability evaluation value, the conductor safety evaluation value and the power quality evaluation value, and calculates the safety comprehensive evaluation index. The specific calculation formula is: Where P represents the comprehensive safety assessment index of the target transmission line, Y i represents the environmental stability assessment value of the ith sub-time zone, Z i represents the conductor safety assessment value of the ith sub-time zone, T i represents the power quality assessment value of the i-th sub-time zone, λ1, λ2 and λ3 are proportional coefficients corresponding to different assessment values, λ1>0, λ2>0, λ3>0.

[0067] The operation status analysis module establishes a comprehensive safety assessment threshold, compares the comprehensive safety assessment threshold with the comprehensive safety assessment index of the target transmission line, determines the operation status of the target transmission line, and transmits the operation status of the target transmission line to the safety warning module.

[0068] In this embodiment, it should be specifically explained that the comprehensive safety assessment threshold is specifically expressed as: yu =λ1×Y yu +λ2×Z yu +λ3×T yu , where Y yu represents the environmental stability threshold, Z yu Indicates the conductor safety threshold, T yu represents the power quality threshold, λ1, λ2 and λ3 are the proportional coefficients corresponding to different evaluation values, λ1>0, λ2>0, λ3>0, and the safety comprehensive evaluation threshold is compared with the safety comprehensive evaluation index of the target transmission line; if P<P yu , indicating that the comprehensive safety assessment threshold is greater than the comprehensive safety assessment index of the target transmission line, the target transmission line is safe, and the target transmission line is marked as in good condition; if P = P yu, indicating that the comprehensive safety assessment threshold is equal to the comprehensive safety assessment index of the target transmission line, the target transmission line is safe, and the target transmission line is marked as normal at this time; if P>P yu , indicating that the comprehensive safety assessment threshold is less than the comprehensive safety assessment index of the target transmission line, then the target transmission line is in an abnormal state, and the target transmission line is marked as an abnormal state at this time.

[0069] The safety warning module issues safety warnings according to the target transmission lines in different operating states.

[0070] In this embodiment, it should be specifically explained that the safety warning module includes a first warning unit and a second warning unit. The first warning unit is used to receive a target transmission line marked as being in a good state, and update the safety comprehensive evaluation index in the good state to a new safety comprehensive evaluation threshold; the second warning unit is used to receive a target transmission line marked as being in an abnormal state, and issue a warning to the operation and maintenance personnel terminal.

[0071] The human-computer interaction module is used to display the operation status of the transmission line on the terminal display screen and send it to the operation and maintenance personnel terminal in a preset summary manner.

[0072] In this embodiment, it should be specifically explained that the preset summary method includes any one of a report summary and a picture summary. When determining the preset summary method, it is necessary to select it according to the actual suitability. The operation and maintenance personnel use the summary content to safely handle the transmission line and troubleshoot the transmission line in abnormal status. The summary content includes the environmental stability, conductor safety, power quality and operating status of the target transmission line.

[0073] The present invention divides the operation time of the transmission line into sub-areas through a time area division module, and each sub-time area operates independently, thereby ensuring that data can be processed efficiently; the safety of the transmission line is evaluated in real time and accurately in three dimensions of environmental stability, conductor safety and power quality of the transmission line through high-precision sensors, thereby ensuring the comprehensiveness and accuracy of the data source and laying a solid data foundation for subsequent data analysis; the environmental stability, conductor safety and power quality are deeply analyzed through a line data analysis module, and the evaluation values ​​of each sub-time area are extracted through a specific mathematical model, including an environmental stability evaluation value, a conductor safety evaluation value and a power quality evaluation value, and the modular design enhances the flexibility and scalability of the system; the evaluation values ​​of various types of data are integrated through a line comprehensive evaluation value calculation module, and a safety comprehensive evaluation index of a target transmission line is calculated using a comprehensive evaluation value analysis model, which comprehensively reflects the safety status of the transmission line and provides a scientific basis for the overall operation status; the safety comprehensive evaluation threshold is compared with the safety comprehensive evaluation index of the target transmission line through an operation status analysis module, the operation status of the target transmission line is judged, and corresponding warning signals are made according to different operation statuses, thereby improving the accuracy of the safety warning of the system.

[0074] like Figure 2 This embodiment provides an operation process of a power transmission line safety early warning system based on big data, including the following steps:

[0075] S1: The location where the terminal equipment of the transmission line is installed is set as the monitoring area, and the monitoring area is divided into various sub-time areas by equal time division;

[0076] S2: Collect data for each sub-time zone respectively to obtain line data for each sub-time zone;

[0077] S3: used to pre-process the collected line data to obtain the standard deviation of the incoming terminal temperature, the average value of the incoming terminal temperature, the standard deviation of the insulator temperature, the average value of the insulator temperature, the temperature gradient change rate, the wire wear, the wire temperature fluctuation value, the wire temperature average value, the harmonic distortion, the harmonic distortion rate, the power factor and the three-phase imbalance;

[0078] S4: analyzing the data preprocessed by the line data preprocessing module through the corresponding mathematical models in each analysis unit, including an environmental stability data analysis unit, a conductor safety data analysis unit, and a power quality data analysis unit;

[0079] S5: Establish a comprehensive evaluation value analysis model, conduct a comprehensive analysis on the data of the target transmission line, import the data transmitted by the line data analysis module into the comprehensive evaluation value analysis model, and calculate the comprehensive safety evaluation index of the target transmission line;

[0080] S6: establishing a comprehensive safety assessment threshold, and comparing the comprehensive safety assessment threshold with the comprehensive safety assessment index of the target transmission line to determine the operating status of the target transmission line;

[0081] S7: issuing safety warnings according to target transmission lines in different operating states;

[0082] S8: Display the operation status of the transmission line on the terminal display screen and send it to the operation and maintenance personnel terminal in a preset summary method.

[0083] Secondly: In the drawings of the embodiments disclosed in the present invention, only the structures related to the embodiments disclosed in the present invention are involved, and other structures can refer to the general design. In the absence of conflict, the same embodiment and different embodiments of the present invention can be combined with each other;

[0084] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A transmission line safety early warning system based on big data, comprising a system operation database, a system central processor and an operation and maintenance personnel terminal, characterized in that: It also includes time zone division module, line data acquisition module, line data preprocessing module, line data analysis module, line comprehensive evaluation value calculation module, operation status analysis module, safety warning module, and human-computer interaction module: Time zone division module: The terminal equipment of the transmission line is set as the monitoring area, and the monitoring area is divided into sub-time zones by equal time division, which are numbered 1, 2, ..., i, ..., n in sequence; Line data acquisition module: collects data for each sub-time zone respectively to obtain line data for each sub-time zone, wherein the line data includes environmental stability data, conductor safety data and power quality data; Line data preprocessing module: used to preprocess the collected line data and transmit the preprocessed data to the line data analysis module; Line data analysis module: analyzes the data preprocessed by the line data preprocessing module through the corresponding mathematical models in each analysis unit, and transmits the analysis results to the line comprehensive evaluation value calculation module; Line comprehensive evaluation value calculation module: including a comprehensive evaluation value analysis model, which is used to conduct a comprehensive analysis on the data of the target transmission line, import the data transmitted by the line data analysis module into the comprehensive evaluation value analysis model, calculate the comprehensive safety evaluation index of the target transmission line, and transmit it to the operation status analysis module; Operation status analysis module: establishes a comprehensive safety assessment threshold, compares the comprehensive safety assessment threshold with the comprehensive safety assessment index of the target transmission line, determines the operation status of the target transmission line, and transmits the operation status of the target transmission line to the safety warning module; Safety warning module: issues safety warnings based on target transmission lines in different operating states; Human-computer interaction module: Displays the operation status of the transmission line on the terminal display screen and sends it to the operation and maintenance personnel terminal in a preset summary manner.

2. According to the big data-based power transmission line safety early warning system of claim 1, it is characterized by: The terminal equipment is distributed at key positions of the transmission line, including cable joints, towers, insulators and line crossing points. The terminal equipment includes high-precision sensors, a system central processor, a system operation database, an operation and maintenance personnel terminal and a power supply unit. The high-precision sensor is responsible for real-time collection of line data. The system central processor is used to centrally control the information text instructions output during the entire control process. The system operation database includes all data texts of the transmission line safety early warning system, and collects the information text output by each module in real time. The operation and maintenance personnel terminal is an information output device for receiving the transmission line safety early warning system, and the power supply unit provides stable power support for the entire terminal; the equal time division of each sub-time area selects the appropriate division time accuracy according to actual needs, including every hour, every minute, every half minute, every second and every half second.

3. According to the big data-based power transmission line safety early warning system of claim 1, it is characterized by: The line data acquisition module uses a high-precision sensor to collect line data in the monitoring area, including an environmental stability data acquisition unit, a conductor safety data acquisition unit, a power quality data acquisition unit and a line data transmission unit. The environmental stability data acquisition unit is used to collect environmental stability data, including the introduction terminal temperature, the insulation body temperature, the surface humidity and the temperature gradient of the transmission line. The conductor safety data acquisition unit is used to collect conductor safety data, including conductor tension, conductor sag and conductor temperature. The power quality data acquisition unit is used to collect power quality data, including transmission active power, transmission voltage in-line power, voltage harmonics, current harmonics, fundamental frequency amplitude, phase current peak value and three-phase average current.

4. The power transmission line safety early warning system based on big data according to claim 1 is characterized by: The line data preprocessing module includes a line data receiving unit, an environmental stability data preprocessing unit, a conductor safety data preprocessing unit, a power quality data preprocessing unit and a data output unit, and the line data receiving unit is used to receive the data collected by the line data collection module; The environmental stability data preprocessing unit classifies and summarizes the collected environmental stability data to obtain the standard deviation of the incoming terminal temperature, the average value of the incoming terminal temperature, the standard deviation of the insulator temperature, the average value of the insulator temperature, and the temperature gradient change rate, which are recorded as Cs, Cm, As, Am, and Gt respectively; the wire safety data preprocessing unit classifies and summarizes the collected wire safety data to obtain the wire wear degree, the wire temperature fluctuation value, and the wire temperature average value, which are recorded as Wb, Ws, and Wm respectively; The power quality data preprocessing unit classifies and summarizes the collected power quality data to obtain harmonic distortion, harmonic distortion rate, power factor and three-phase imbalance, which are recorded as Fd, Fp, cosφ and Fl respectively; the data output unit is used to transmit the preprocessed line data to the line data analysis module.

5. The power transmission line safety early warning system based on big data according to claim 1 is characterized by: The line data analysis module includes a line data receiving unit, an environmental stability data analysis unit, a conductor safety data analysis unit, a power quality data analysis unit and a data transmission unit. The specific analysis process is as follows: Line data receiving unit: used for receiving line data transmitted by the line data preprocessing module; Environmental stability data analysis unit: used to analyze environmental stability data, establish an environmental stability data analysis model, and calculate the environmental stability assessment value of each sub-time zone based on the standard deviation of the introduced terminal temperature, the average value of the introduced terminal temperature, the standard deviation of the insulation temperature, the average value of the insulation temperature, the relative humidity, and the temperature gradient change rate. The specific analysis formula is: Among them, Cs i represents the standard deviation of the input terminal temperature in the ith sub-time zone, Cm represents the average value of the input terminal temperature, and C i represents the input terminal temperature in the ith sub-time zone, As i represents the standard deviation of the adiabatic body temperature in the ith sub-time zone, Am represents the average adiabatic body temperature, and A i represents the adiabatic temperature of the ith sub-time region, Gt i represents the temperature gradient change rate of the i-th sub-time region; Conductor safety data analysis unit: used to analyze conductor safety data, establish a conductor safety data analysis model, and calculate the conductor safety assessment value of each sub-time zone based on conductor wear, conductor temperature fluctuation value and conductor temperature average value. The specific analysis formula is as follows: Where Z i represents the conductor safety assessment value of the ith sub-time zone, Wm i represents the conductor temperature in the ith sub-time zone, Wm represents the average conductor temperature, and Ws i represents the conductor temperature fluctuation value in the i-th sub-time zone, Ws i-1 represents the conductor temperature fluctuation value in the i-1th sub-time zone, Wb i represents the wire wear degree in the i-th sub-time zone; Power quality data analysis unit: used to analyze power quality data, establish a power quality data analysis model, and calculate the power quality assessment value of each sub-time zone based on harmonic distortion, harmonic distortion rate, power factor and three-phase imbalance. The specific analysis formula is: Where n represents the total number of sub-time zones divided into the monitoring area, cosφ represents the power factor, Fd i Indicates the harmonic distortion of the ith sub-time region, Fp i represents the harmonic distortion rate of the ith sub-time region, Fl i represents the three-phase unbalance degree of the i-th sub-time zone; Data transmission unit: transmits the analyzed data to the line comprehensive evaluation value calculation module.

6. The power transmission line safety early warning system based on big data according to claim 1 is characterized by: The line comprehensive evaluation value calculation module establishes a comprehensive evaluation value analysis model based on the environmental stability evaluation value, the conductor safety evaluation value and the power quality evaluation value, and calculates the safety comprehensive evaluation index. The specific calculation formula is: Where P represents the comprehensive safety assessment index of the target transmission line, Y i represents the environmental stability assessment value of the ith sub-time zone, Z i represents the conductor safety assessment value of the ith sub-time zone, T i represents the power quality assessment value of the i-th sub-time zone, λ1, λ2 and λ3 are proportional coefficients corresponding to different assessment values, λ1>0, λ2>0, λ3>0.

7. The power transmission line safety early warning system based on big data according to claim 1 is characterized by: The comprehensive safety assessment threshold is specifically expressed as: yu =λ1×Y yu +λ2×Z yu +λ3×T yu , where Y yu represents the environmental stability threshold, Z yu Indicates the conductor safety threshold, T yu represents the power quality threshold, λ1, λ2 and λ3 are proportional coefficients corresponding to different evaluation values, λ1>0, λ2>0, λ3>0, and the safety comprehensive evaluation threshold is compared with the safety comprehensive evaluation index of the target transmission line; If P<P yu , indicating that the comprehensive safety assessment threshold is greater than the comprehensive safety assessment index of the target transmission line, the target transmission line is safe, and the target transmission line is marked as in good condition; if P = P yu , indicating that the comprehensive safety assessment threshold is equal to the comprehensive safety assessment index of the target transmission line, then the target transmission line is safe, and the target transmission line is marked as normal at this time; If P>P yu , indicating that the comprehensive safety assessment threshold is less than the comprehensive safety assessment index of the target transmission line, then the target transmission line is in an abnormal state, and the target transmission line is marked as an abnormal state at this time.

8. The power transmission line safety early warning system based on big data according to claim 1 is characterized by: The safety warning module includes a first warning unit and a second warning unit. The first warning unit is used to receive a target transmission line marked as being in a good state and update the safety comprehensive evaluation index in the good state to a new safety comprehensive evaluation threshold; the second warning unit is used to receive a target transmission line marked as being in an abnormal state and issue a warning to the operation and maintenance personnel terminal.

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