Intelligent monitoring method, system and device for state of generator circuit breaker

Abstract

The invention relates to the technical field of power distribution monitoring, in particular to an intelligent monitoring method, system and device for the state of a generator circuit breaker, a monitoring module obtains the temperature of a generator, obtains electric power parameters and obtains current and voltage phase diagrams, and a compensation module comprises a capacitor and an electric reactor. The regulation and control module comprises a state monitoring unit and a control unit, the state monitoring unit calculates generator operation state characterization parameters and divides generator operation state categories, and the control unit selects an analysis mode and identifies a characteristic time domain segment and a non-characteristic time domain segment according to a phase difference fluctuation value of current and voltage; judging whether to start a compensation module or not according to the phase difference between the current and the voltage, acquiring surrounding environment parameters of the generator, including air temperature and air humidity, and judging whether the generator environment is abnormal or not, or acquiring electric power parameters to draw an electric power parameter trend chart, and identifying an ascending section and a fluctuation section of the electric power parameter trend chart; according to the invention, the monitoring reliability of the circuit breaker can be improved.

Description

Technical Field

[0001] The present invention relates to the technical field of power distribution monitoring, and in particular to a method, system and device for intelligently monitoring the status of a generator circuit breaker. Background Art

[0002] Generator outlet circuit breakers are used in power plants to quickly cut off the generator from the system. They are capable of breaking large currents and have excellent arc extinguishing functions. Generator outlet circuit breakers, especially large-capacity generator outlet circuit breakers, have internal structures that include electrical units such as arc contacts, main contacts, and arc extinguishing chambers, as well as complex mechanical transmission mechanisms. Any problem with any component may cause damage to the generator outlet circuit breaker.

[0003] Chinese patent publication number: CN111555444A, discloses an intelligent power distribution monitoring system, including a data acquisition unit, a data processing unit, an emergency processing unit and an intelligent monitoring unit; the data acquisition unit is arranged on each power distribution device in the power distribution cabinet, and is used to collect the working parameters of each power distribution device; the data processing unit is arranged in the power distribution cabinet, and is used to issue work instructions to the data acquisition unit and the emergency processing unit; the data collected by the data acquisition unit is received, the data is processed and analyzed, and the processed data is packaged in a specified format and sent to the intelligent monitoring unit; the emergency processing unit is arranged in the power distribution cabinet, and in an emergency, the data processing unit controls it to cut off the circuit and extinguish the fire; the intelligent monitoring unit is arranged in the power distribution control room, and is used to receive the data packets sent by the data processing unit arranged at each monitoring point, and the intelligent power distribution monitoring system is monitored and controlled in real time through the preset software.

[0004] However, there are still the following problems in the prior art: In the prior art, the influence of the phase difference between the current and voltage in the generator and the temperature of the generator on the operating efficiency of the generator is not considered, and the operating state of the generator is not divided, so that the efficiency of the generator during operation and the influence of the operating environment of the generator on the generator cannot be obtained in time, resulting in low monitoring reliability of the generator circuit breaker and poor power reliability. Summary of the invention

[0005] To this end, the present invention provides a method, system and device for intelligent monitoring of the status of a generator circuit breaker, so as to overcome the problem in the prior art that the phase difference between the current and voltage in the generator and the temperature of the generator are not considered, and the operating status of the generator is not divided, so that the efficiency of the generator during operation and the influence of the operating environment of the generator on the generator cannot be obtained in time, resulting in low monitoring reliability of the generator and poor power reliability.

[0006] To achieve the above object, the present invention provides, on one hand, a method for intelligently monitoring the state of a generator circuit breaker, comprising: The monitoring module obtains several parameters of the generator operation process, wherein the several parameters include the generator temperature, power parameters, current phase and voltage phase; The compensation module compensates the inductive load and the capacitive load of the generator circuit breaker respectively; The control module calculates the generator operation state characterization parameter according to the phase difference between the current and the voltage combined with the generator temperature, and classifies the generator operation state according to the generator operation state characterization parameter; The control module selects an analysis method for the generator circuit breaker according to the operating state of the generator, wherein the analysis method includes obtaining a current phase diagram and a voltage phase diagram, dividing a number of time domain segments, identifying characteristic time domain segments and non-characteristic time domain segments according to the phase difference fluctuation value between the current and voltage, determining whether to start the compensation module according to the phase difference between the current and voltage, obtaining the ambient environment parameters of the generator, including the air temperature and the air humidity, and determining whether there is any abnormality in the generator environment; Or, obtain power parameters to draw a power parameter trend graph, identify the rising segment and the fluctuating segment of the power parameter trend graph, and mark the rising segment and the fluctuating segment.

[0007] Furthermore, the classification of the generator operating state categories according to the generator operating state characterization parameters includes: The generator operating state characterization parameter is compared with the preset generator operating state characterization parameter comparison threshold value, If the generator operating state characterization parameter is greater than a preset generator operating state characterization parameter comparison threshold, the state monitoring unit classifies the generator operating state into an unstable tendency operating category; If the generator operating state characterization parameter is less than or equal to a preset generator operating state characterization parameter comparison threshold, the state monitoring unit classifies the generator operating state into a stable tendency operating category.

[0008] Furthermore, the control unit selects an analysis method according to the generator operation status category, wherein: If the generator operation state category is the unstable tendency operation category, the control unit obtains the current phase diagram and the voltage phase diagram, divides the time domain segments, identifies the characteristic time domain segments and the non-characteristic time domain segments according to the phase difference fluctuation value between the current and the voltage, determines whether to start the compensation module according to the phase difference between the current and the voltage, obtains the generator surrounding environment parameters, including air temperature and air humidity, and determines whether there is any abnormality in the generator environment; If the generator operation state category is a stable tendency operation category, the control unit obtains the power parameters to draw a power parameter trend graph, identifies the rising segment and the fluctuating segment of the power parameter trend graph, and marks the rising segment and the fluctuating segment.

[0009] Furthermore, the process of identifying the characteristic time domain segment and the non-characteristic time domain segment according to the phase difference fluctuation value between the current and the voltage includes: Obtain the maximum and minimum phase differences between current and voltage in the time domain segment; The difference between the maximum phase difference and the minimum phase difference between the current and the voltage is determined as the phase difference fluctuation value between the current and the voltage in the time domain segment; Compare the phase difference fluctuation value between the current and the voltage in the time domain segment with a preset phase difference fluctuation value comparison threshold; If the phase difference fluctuation value between the current and the voltage in the time domain segment is greater than a preset phase difference fluctuation value comparison threshold, the control unit identifies the time domain segment as a characteristic time domain segment; If the phase difference fluctuation value between the current and the voltage in the time domain segment is less than or equal to a preset phase difference fluctuation value comparison threshold, the control unit identifies the time domain segment as a non-characteristic time domain segment.

[0010] Further, the determining whether to start the compensation module according to the phase difference between the current and the voltage includes: Obtain the phase difference between current and voltage in a characteristic time domain segment; Comparing the phase difference between the current and the voltage with a preset phase difference comparison threshold; If the phase difference between the current and the voltage is greater than a preset phase difference comparison threshold, it is determined that the compensation module is started; If the phase of the current leads the phase of the voltage, the reactor is started, and if the phase of the current lags behind the phase of the voltage, the capacitor is started.

[0011] Furthermore, the generator environment parameters are obtained, including air temperature and air humidity, to determine whether there is any abnormality in the generator environment. Obtaining the environmental parameters around the generator in the non-characteristic time domain segment; Comparing the air temperature with a preset air temperature comparison threshold, and comparing the air humidity with a preset air humidity comparison threshold; If the first preset condition is met, it is determined that the generator environment is abnormal; The first preset condition is that the air temperature is greater than a preset air temperature comparison threshold, or the air humidity is greater than a preset air humidity comparison threshold.

[0012] Furthermore, the process of identifying the rising segment and the fluctuating segment of the power parameter trend graph includes: Divide the power parameter trend graph into several trend segments; Fitting the trend segment curve with several linear straight lines within a preset slope range; If the degree of fit between the trend segment curve and any linear straight line is greater than a preset degree of fit comparison threshold, the trend segment is identified as an ascending segment; Obtain the maximum value and the minimum value of the power parameter in the trend segment, and calculate the difference between the maximum value and the minimum value of the power parameter as the power parameter fluctuation value; comparing the power parameter fluctuation value with a preset power parameter fluctuation value comparison threshold; If the power parameter fluctuation value is greater than a preset power parameter fluctuation value comparison threshold, the trend segment is identified as a fluctuation segment.

[0013] Furthermore, the control unit marks the rising segment and the fluctuation segment by marking the rising segment and the fluctuation segment with different colors; The monitoring module acquires power parameters including current, voltage and power factor.

[0014] Another aspect of the present invention provides a system using the above-mentioned generator circuit breaker state intelligent monitoring method, comprising: A monitoring module, comprising a temperature sensor arranged on the generator for obtaining the temperature of the generator, a multi-function electric meter arranged on the generator for obtaining electric power parameters, a phase monitoring unit arranged on the generator for obtaining a current phase diagram, and a phase monitoring unit for obtaining a voltage phase diagram; A compensation module, including a capacitor for compensating an inductive load and a reactor for compensating a capacitive load; A control module, which is connected to the monitoring module and the compensation module, and includes a state monitoring unit and a control unit; The state monitoring unit is used to calculate the generator operation state characterization parameter according to the phase difference between the current and the voltage combined with the temperature, and classify the generator operation state category according to the generator operation state characterization parameter; The control unit is used to select an analysis method of the generator circuit breaker according to the operating state of the generator, including: Obtain the current phase diagram and the voltage phase diagram, divide them into several time domain segments, identify the characteristic time domain segments and the non-characteristic time domain segments according to the phase difference fluctuation value between the current and the voltage, determine whether to start the compensation module according to the phase difference between the current and the voltage, obtain the ambient environment parameters of the generator, including the air temperature and the air humidity, and determine whether there is any abnormality in the generator environment; Or, obtain power parameters to draw a power parameter trend graph, identify the rising segment and the fluctuating segment of the power parameter trend graph, and mark the rising segment and the fluctuating segment.

[0015] In another aspect, the present invention provides a device for carrying the above system, comprising a housing; the monitoring module, the compensation module and the control module are integrally packaged in the housing.

[0016] Compared with the prior art, the monitoring module of the present invention obtains the generator temperature, power parameters, current and voltage phase diagrams, the compensation module includes capacitors and reactors, the regulation module includes a state monitoring unit and a control unit, the state monitoring unit calculates the parameters characterizing the generator operating state, and classifies the generator operating state. The control unit selects an analysis method, identifies characteristic time domain segments and non-characteristic time domain segments according to the phase difference fluctuation values ​​of the current and voltage, determines whether to start the compensation module according to the phase difference between the current and voltage, obtains the environmental parameters surrounding the generator, including the air temperature and the air humidity, determines whether there is any abnormality in the generator environment, or obtains power parameters to draw a power parameter trend graph, and identifies the rising segment and the fluctuation segment of the power parameter trend graph. The present invention can improve the monitoring reliability of the generator, thereby improving the reliability of power use.

[0017] In particular, the state monitoring unit of the present invention is used to calculate the generator operating state characterization parameters based on the phase difference between current and voltage combined with the winding temperature. In an AC circuit, inductance will cause a phase difference between voltage and current. When voltage is applied to the inductor, the current will lag behind the voltage, while capacitance will cause the current to lead the voltage. When voltage is applied to the capacitor, the current will lead the voltage. When there is a phase difference between current and voltage, the generator operating efficiency is low. The copper wire resistance in the generator will cause copper loss. When the winding temperature rises, the copper resistance will increase, resulting in increased copper loss. Higher winding temperatures will lead to higher copper losses, thereby reducing the efficiency of the generator. Therefore, the phase difference between current and voltage and the winding temperature are important influencing parameters affecting the working efficiency of the generator. By calculating the generator operating state characterization parameters based on the current and voltage phase difference and the winding temperature, the stable tendency state of the generator operation can be characterized to a certain extent. Calculating the generator operating state characterization parameters can provide data support for subsequent analysis, improve the monitoring reliability of the generator, and thus improve the reliability of power use.

[0018] In particular, the status monitoring unit of the present invention classifies the generator operating status into categories according to the parameters characterizing the generator operating status. When the phase difference between the current and the voltage is large, the power factor is small, and the reactive power is large at this time. When the winding temperature is high, the copper loss is higher, so the phase difference between the current and the voltage is large. When the winding temperature is high, the operating status of the generator tends to be less stable. By classifying the operating status of the generator, different analysis methods can be adopted for generators in different operating statuses, thereby improving the monitoring reliability of the generator and thus improving the reliability of power use.

[0019] In particular, the control unit of the present invention identifies the characteristic time domain segment and the non-characteristic time domain segment according to the phase difference fluctuation value between the current and the voltage. The nature of the load determines the phase relationship between the current and the voltage. Since the change of the load will cause the phase difference between the current and the voltage to fluctuate greatly, the characteristic time domain segment and the non-characteristic time domain segment are identified by the phase difference fluctuation value, so that the load can be analyzed and compensated in the characteristic time domain segment, thereby improving the operating efficiency of the generator. When the phase difference fluctuation value is small, the operating environment of the generator is analyzed to obtain the possible impact of the operating environment of the generator on the operation of the generator. By adopting different analysis methods for different time domain segments, the monitoring reliability of the generator can be improved, thereby improving the reliability of power consumption.

[0020] In particular, the control unit of the present invention identifies the rising segment and the fluctuating segment of the power parameter trend graph, and marks the rising segment and the fluctuating segment. By identifying the rising segment and the fluctuating segment, it is helpful to analyze the performance of the generator and evaluate the load condition, stability and responsiveness of the generator. By identifying these trends, opportunities for generator improvement can be identified, thereby improving the operating efficiency and reliability of the generator. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 It is a flow chart of a method for intelligently monitoring the status of a generator circuit breaker according to an embodiment of the invention; Figure 2 It is a structural diagram of the state intelligent monitoring system of the generator circuit breaker according to an embodiment of the invention; Figure 3 This is a structural diagram of a control module of an intelligent power distribution monitoring system according to an embodiment of the invention; Figure 4 A logic decision diagram for classifying the operating status of a generator by a status monitoring unit of an embodiment of the invention; Figure 5 This is a logic determination diagram for the control unit of an embodiment of the invention to determine whether there is an abnormality in the generator environment. DETAILED DESCRIPTION

[0022] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0023] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0024] In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0025] See also Figure 1-Figure 5 As shown, Figure 1 It is a flow chart of a method for intelligently monitoring the state of a generator circuit breaker according to an embodiment of the present invention; Figure 2 It is a structural diagram of the state intelligent monitoring system of the generator circuit breaker according to an embodiment of the invention; Figure 3 This is a structural diagram of a control module of an intelligent power distribution monitoring system according to an embodiment of the invention; Figure 4 A logic decision diagram for classifying the operating status of a generator by a status monitoring unit of an embodiment of the invention; Figure 5 This is a logic determination diagram for the control unit of an embodiment of the invention to determine whether there is an abnormality in the generator environment.

[0026] The method for intelligently monitoring the state of a generator circuit breaker according to an embodiment of the present invention comprises: Step S1, the monitoring module obtains several parameters of the generator operation process, wherein the several parameters include the generator temperature, power parameters, current phase and voltage phase; Step S2, the compensation module compensates the inductive load and the capacitive load of the generator circuit breaker respectively; Step S3, the control module calculates the generator operating state characterization parameter according to the phase difference between the current and the voltage combined with the generator temperature; Step S4, classifying the generator operation status according to the generator operation status characterization parameter; Step S5, the control module selects an analysis method for the generator circuit breaker according to the generator operation state; The analysis method includes obtaining a current phase diagram and a voltage phase diagram, dividing the time domain into several time segments, identifying characteristic time segments and non-characteristic time segments according to the phase difference fluctuation value between the current and voltage, determining whether to start the compensation module according to the phase difference between the current and voltage, obtaining the ambient environment parameters of the generator, including air temperature and air humidity, and determining whether there is any abnormality in the generator environment; Or, obtain power parameters to draw a power parameter trend graph, identify the rising segment and the fluctuating segment of the power parameter trend graph, and mark the rising segment and the fluctuating segment.

[0027] The intelligent state monitoring system of the generator circuit breaker of the present invention comprises: A monitoring module, comprising a temperature sensor arranged on the generator for obtaining the temperature of the generator, a multi-function electric meter arranged on the generator for obtaining electric power parameters, a phase monitoring unit arranged on the generator for obtaining a current phase diagram, and a phase monitoring unit for obtaining a voltage phase diagram; A compensation module, including a capacitor for compensating an inductive load and a reactor for compensating a capacitive load; A control module, which is connected to the monitoring module and the compensation module, and includes a state monitoring unit and a control unit; The state monitoring unit is used to calculate the generator operation state characterization parameter according to the phase difference between the current and the voltage combined with the temperature, and classify the generator operation state category according to the generator operation state characterization parameter; The control unit is used to select an analysis method of the generator circuit breaker according to the operating state of the generator, including: Obtain the current phase diagram and the voltage phase diagram, divide them into several time domain segments, identify the characteristic time domain segments and the non-characteristic time domain segments according to the phase difference fluctuation value between the current and the voltage, determine whether to start the compensation module according to the phase difference between the current and the voltage, obtain the ambient environment parameters of the generator, including the air temperature and the air humidity, and determine whether there is any abnormality in the generator environment; Or, obtain power parameters to draw a power parameter trend graph, identify the rising segment and the fluctuating segment of the power parameter trend graph, and mark the rising segment and the fluctuating segment.

[0028] Specifically, the present invention does not limit the specific structure of the monitoring module. The phase monitoring unit can be a phase measuring instrument, and the temperature sensor can be any one of the existing temperature sensors, such as an infrared remote temperature sensor. This is a prior art and is not limited thereto.

[0029] Specifically, the present invention does not limit the specific structure of the control module. The state monitoring unit and the control unit can be composed of logic components or a combination of logic components. The logic components include a field programmable processor, a computer or a microprocessor in a computer. This is a prior art and will not be repeated here.

[0030] Specifically, the state monitoring unit calculates the generator operating state characterization parameter according to formula (1): (1) In formula (1), W represents the parameter characterizing the generator operating state, φ represents the phase difference between current and voltage, φ0 represents the preset current and voltage phase difference threshold, T represents the winding temperature, T0 represents the preset winding temperature threshold, and e represents a natural constant.

[0031] In this embodiment, φ0 and T0 are measured in advance by experiments, wherein the operation of the generator is continuously monitored in advance to obtain the average phase difference φe between the current and the voltage, and φ0=a×φe, 1.2<a<1.3, a is the phase difference coefficient, and the average temperature Te of the winding is obtained, and T0=b×Te, 1.2<b<1.3, b is the temperature coefficient.

[0032] Specifically, the state monitoring unit of the present invention is used to calculate the generator operating state characterization parameters based on the phase difference between current and voltage combined with the winding temperature. In an AC circuit, inductance will cause a phase difference between voltage and current. When voltage is applied to the inductor, the current will lag behind the voltage, while capacitance will cause the current to lead the voltage. When voltage is applied to the capacitor, the current will lead the voltage. When there is a phase difference between current and voltage, the generator operating efficiency is low. The copper wire resistance in the generator will cause copper loss. When the winding temperature rises, the copper resistance will increase, resulting in increased copper loss. Higher winding temperatures will lead to higher copper losses, thereby reducing the efficiency of the generator. Therefore, the phase difference between current and voltage and the winding temperature are important influencing parameters that affect the working efficiency of the generator. By calculating the generator operating state characterization parameters based on the current and voltage phase difference and the winding temperature, the stable tendency state of the generator operation can be characterized to a certain extent. Calculating the generator operating state characterization parameters can provide data support for subsequent analysis, improve the monitoring reliability of the generator, and thus improve the reliability of power use.

[0033] Specifically, the state monitoring unit classifies the generator operation state into categories according to the generator operation state characterization parameters, including: The generator operating state characterization parameter is compared with the preset generator operating state characterization parameter comparison threshold value, If the generator operating state characterization parameter is greater than a preset generator operating state characterization parameter comparison threshold, the state monitoring unit classifies the generator operating state into an unstable tendency operating category; If the generator operating state characterization parameter is less than or equal to a preset generator operating state characterization parameter comparison threshold, the state monitoring unit classifies the generator operating state into a stable tendency operating category.

[0034] In this embodiment, the preset generator operating state characterization parameter comparison threshold is selected within the range of [1.55, 1.60].

[0035] Specifically, the status monitoring unit of the present invention classifies the generator operating status into categories according to the parameters characterizing the generator operating status. When the phase difference between the current and the voltage is large, the power factor is small, and the reactive power is large at this time. When the winding temperature is high, the copper loss is higher, so the phase difference between the current and the voltage is large. When the winding temperature is high, the operating status of the generator tends to be less stable. By classifying the operating status of the generator, different analysis methods can be adopted for generators in different operating statuses, thereby improving the monitoring reliability of the generator and thus improving the reliability of power use.

[0036] Specifically, the control unit selects an analysis method according to the generator operation status category, wherein: If the generator operation state category is the unstable tendency operation category, the control unit obtains the current phase diagram and the voltage phase diagram, divides the time domain segments, identifies the characteristic time domain segments and the non-characteristic time domain segments according to the phase difference fluctuation value between the current and the voltage, determines whether to start the compensation module according to the phase difference between the current and the voltage, obtains the generator surrounding environment parameters, including air temperature and air humidity, and determines whether there is any abnormality in the generator environment; If the generator operation state category is a stable tendency operation category, the control unit identifies the rising segment and the fluctuating segment of the power parameter trend graph, and marks the rising segment and the fluctuating segment.

[0037] Specifically, the control unit identifies the characteristic time domain segment and the non-characteristic time domain segment according to the phase difference fluctuation value between the current and the voltage. Obtain the maximum and minimum phase differences between current and voltage in the time domain segment; The difference between the maximum phase difference and the minimum phase difference between the current and the voltage is determined as the phase difference fluctuation value between the current and the voltage in the time domain segment; Compare the phase difference fluctuation value between the current and the voltage in the time domain segment with a preset phase difference fluctuation value comparison threshold; If the phase difference fluctuation value between the current and the voltage in the time domain segment is greater than a preset phase difference fluctuation value comparison threshold, the control unit identifies the time domain segment as a characteristic time domain segment; If the phase difference fluctuation value between the current and the voltage in the time domain segment is less than or equal to a preset phase difference fluctuation value comparison threshold, the control unit identifies the time domain segment as a non-characteristic time domain segment.

[0038] In this embodiment, the preset phase difference fluctuation value comparison threshold B0 is pre-measured in experiments, the phase difference fluctuation value during the operation of the generator is continuously obtained, and the average phase difference fluctuation value Be is calculated. It is assumed that B0=c×Be, c is the phase difference fluctuation coefficient, 1.2<c<1.3.

[0039] Specifically, the control unit of the present invention identifies the characteristic time domain segment and the non-characteristic time domain segment according to the phase difference fluctuation value between the current and the voltage. The nature of the load determines the phase relationship between the current and the voltage. Since the change of the load will cause the phase difference between the current and the voltage to fluctuate greatly, the characteristic time domain segment and the non-characteristic time domain segment are identified by the phase difference fluctuation value. Therefore, the load can be analyzed and compensated in the characteristic time domain segment, thereby improving the operating efficiency of the generator. When the phase difference fluctuation value is small, the operating environment of the generator is analyzed to obtain the possible impact of the operating environment of the generator on the operation of the generator. By adopting different analysis methods for different time domain segments, the monitoring reliability of the generator can be improved, thereby improving the reliability of power consumption.

[0040] Specifically, the control unit determines whether to start the compensation module according to the phase difference between the current and the voltage. Obtain the phase difference between current and voltage in a characteristic time domain segment; Comparing the phase difference between the current and the voltage with a preset phase difference comparison threshold; If the phase difference between the current and the voltage is greater than a preset phase difference comparison threshold, it is determined that the compensation module is started; If the phase of the current leads the phase of the voltage, the reactor is started, and if the phase of the current lags behind the phase of the voltage, the capacitor is started.

[0041] In this embodiment, the preset phase difference contrast threshold φb=d×φe, 1.2<d<1.4, and d is the phase difference contrast threshold coefficient.

[0042] Specifically, the control unit obtains the parameters of the generator's surrounding environment, including air temperature and air humidity, and determines whether there is any abnormality in the generator environment. Obtaining the environmental parameters around the generator in the non-characteristic time domain segment; Comparing the air temperature with a preset air temperature comparison threshold, and comparing the air humidity with a preset air humidity comparison threshold; If the first preset condition is met, it is determined that the generator environment is abnormal; The first preset condition is that the air temperature is greater than a preset air temperature comparison threshold, or the air humidity is greater than a preset air humidity comparison threshold.

[0043] In this embodiment, the preset air temperature comparison threshold is selected within the range of [35° C., 40° C.], and the preset air humidity comparison threshold is selected within the range of [65%, 70%].

[0044] Specifically, the control unit identifies the rising segment and the fluctuating segment of the power parameter trend graph, Divide the power parameter trend graph into several trend segments; Fitting the trend segment curve with several linear straight lines within a preset slope range; If the degree of fit between the trend segment curve and any linear straight line is greater than a preset degree of fit comparison threshold, the trend segment is identified as an ascending segment; Obtain the maximum value and the minimum value of the power parameter in the trend segment, and calculate the difference between the maximum value and the minimum value of the power parameter as the power parameter fluctuation value; comparing the power parameter fluctuation value with a preset power parameter fluctuation value comparison threshold; If the power parameter fluctuation value is greater than a preset power parameter fluctuation value comparison threshold, the trend segment is identified as a fluctuation segment.

[0045] In this embodiment, the preset slope range is that the linear line slope value k is [0.57, 1.73]. It can be understood that when fitting the trend segment curve with the linear line, the trend segment curve is fitted with several linear lines with slope values ​​of 0.57-1.73. If the trend segment curve has a high degree of fit with any of the linear lines, it can be determined that the trend segment is on an upward trend. The preset fit comparison threshold is selected in the range of [0.7, 0.8].

[0046] In this embodiment, the trend segment curve can be fitted using analysis software, and the analysis software can be MATLAB, which is a prior art.

[0047] In this embodiment, the preset power parameter fluctuation value comparison threshold includes a preset current fluctuation value comparison threshold I0, a preset voltage fluctuation value comparison threshold U0, and a preset power factor comparison threshold PF0. I0, U0, and PF0 are pre-measured in the experiment. The generator operation is continuously monitored to obtain the power parameters of the generator. The average current fluctuation value Ie, the average voltage fluctuation value Ue, and the average power factor fluctuation value PFe are obtained at preset time intervals. The preset time is selected within the range of [30min, 60min]. Assume that I0=r×Ie, where r is the current fluctuation value. Dynamic coefficient, 1.1<r<1.2, U0=f×Ue, f is the voltage fluctuation coefficient, 1.1<f<1.2, PF0=g×PFe, g is the power factor fluctuation coefficient, 1.1<g<1.2. It can be understood that when comparing the power parameter fluctuation value with the preset power parameter fluctuation value comparison threshold, the current fluctuation value is compared with the preset current fluctuation value comparison threshold, the voltage fluctuation value is compared with the preset voltage fluctuation value comparison threshold, and the power factor fluctuation value is compared with the preset power factor fluctuation value comparison threshold.

[0048] Specifically, the control unit marks the rising segment and the fluctuating segment including: The control unit marks the rising segment and the fluctuating segment with colors; Among them, the colors used to mark the rising segment and the fluctuating segment are different.

[0049] Specifically, the control unit of the present invention identifies the rising segment and the fluctuating segment of the power parameter trend graph, and marks the rising segment and the fluctuating segment. By identifying the rising segment and the fluctuating segment, it is helpful to analyze the performance of the generator and evaluate the load condition, stability and responsiveness of the generator. By identifying these trends, opportunities for generator improvement can be identified, thereby improving the operating efficiency and reliability of the generator.

[0050] Specifically, the power parameters acquired by the monitoring module include: current, voltage and power factor.

[0051] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

Claims

1. A method for intelligent monitoring of the state of a generator circuit breaker, characterized in that: include: The monitoring module obtains several parameters of the generator operation process, wherein the several parameters include the generator temperature, power parameters, current phase and voltage phase; The compensation module compensates the inductive load and the capacitive load of the generator circuit breaker respectively; The control module calculates the generator operation state characterization parameter according to the phase difference between the current and the voltage combined with the generator temperature, and classifies the generator operation state according to the generator operation state characterization parameter; The control module selects an analysis method for the generator circuit breaker according to the operating state of the generator, wherein the analysis method includes obtaining a current phase diagram and a voltage phase diagram, dividing a number of time domain segments, identifying characteristic time domain segments and non-characteristic time domain segments according to the phase difference fluctuation value between the current and voltage, determining whether to start the compensation module according to the phase difference between the current and voltage, obtaining the ambient environment parameters of the generator, including the air temperature and the air humidity, and determining whether there is any abnormality in the generator environment; Or, obtain power parameters to draw a power parameter trend graph, identify the rising segment and the fluctuating segment of the power parameter trend graph, and mark the rising segment and the fluctuating segment.

2. The method for intelligent monitoring of the state of a generator circuit breaker according to claim 1, characterized in that: The classification of the generator operation status according to the generator operation status characterization parameter comprises: The generator operating state characterization parameter is compared with the preset generator operating state characterization parameter comparison threshold value, If the generator operating state characterization parameter is greater than a preset generator operating state characterization parameter comparison threshold, the state monitoring unit classifies the generator operating state into an unstable tendency operating category; If the generator operating state characterization parameter is less than or equal to a preset generator operating state characterization parameter comparison threshold, the state monitoring unit classifies the generator operating state into a stable tendency operating category.

3. The method for intelligent monitoring of the state of a generator circuit breaker according to claim 2, characterized in that: The control unit selects the analysis method according to the generator operating status category, where: If the generator operation state category is the unstable tendency operation category, the control unit obtains the current phase diagram and the voltage phase diagram, divides the time domain segments, identifies the characteristic time domain segments and the non-characteristic time domain segments according to the phase difference fluctuation value between the current and the voltage, determines whether to start the compensation module according to the phase difference between the current and the voltage, obtains the generator surrounding environment parameters, including air temperature and air humidity, and determines whether there is any abnormality in the generator environment; If the generator operation state category is a stable tendency operation category, the control unit obtains the power parameters to draw a power parameter trend graph, identifies the rising segment and the fluctuating segment of the power parameter trend graph, and marks the rising segment and the fluctuating segment.

4. The method for intelligent monitoring of the state of a generator circuit breaker according to claim 1, characterized in that: The process of identifying the characteristic time domain segment and the non-characteristic time domain segment according to the phase difference fluctuation value between the current and the voltage includes: Obtain the maximum and minimum phase differences between current and voltage in the time domain segment; The difference between the maximum phase difference and the minimum phase difference between the current and the voltage is determined as the phase difference fluctuation value between the current and the voltage in the time domain segment; Compare the phase difference fluctuation value between the current and the voltage in the time domain segment with a preset phase difference fluctuation value comparison threshold; If the phase difference fluctuation value between the current and the voltage in the time domain segment is greater than a preset phase difference fluctuation value comparison threshold, the control unit identifies the time domain segment as a characteristic time domain segment; If the phase difference fluctuation value between the current and the voltage in the time domain segment is less than or equal to a preset phase difference fluctuation value comparison threshold, the control unit identifies the time domain segment as a non-characteristic time domain segment.

5. The method for intelligent monitoring of the state of a generator circuit breaker according to claim 4, characterized in that: The step of determining whether to start the compensation module according to the phase difference between the current and the voltage includes: Obtain the phase difference between current and voltage in a characteristic time domain segment; Comparing the phase difference between the current and the voltage with a preset phase difference comparison threshold; If the phase difference between the current and the voltage is greater than a preset phase difference comparison threshold, it is determined that the compensation module is started; If the phase of the current leads the phase of the voltage, the reactor is started, and if the phase of the current lags behind the phase of the voltage, the capacitor is started.

6. The method for intelligent monitoring of the state of a generator circuit breaker according to claim 4, characterized in that: The generator environment parameters are obtained, including air temperature and air humidity, to determine whether the generator environment is abnormal. Obtaining the environmental parameters around the generator in the non-characteristic time domain segment; Comparing the air temperature with a preset air temperature comparison threshold, and comparing the air humidity with a preset air humidity comparison threshold; If the first preset condition is met, it is determined that the generator environment is abnormal; The first preset condition is that the air temperature is greater than a preset air temperature comparison threshold, or the air humidity is greater than a preset air humidity comparison threshold.

7. The method for intelligent monitoring of the state of a generator circuit breaker according to claim 1, characterized in that: The process of identifying the rising segment and the fluctuating segment of the power parameter trend graph includes: Divide the power parameter trend graph into several trend segments; Fitting the trend segment curve with several linear straight lines within a preset slope range; If the degree of fit between the trend segment curve and any linear straight line is greater than a preset degree of fit comparison threshold, the trend segment is identified as an ascending segment; Obtain the maximum value and the minimum value of the power parameter in the trend segment, and calculate the difference between the maximum value and the minimum value of the power parameter as the power parameter fluctuation value; comparing the power parameter fluctuation value with a preset power parameter fluctuation value comparison threshold; If the power parameter fluctuation value is greater than a preset power parameter fluctuation value comparison threshold, the trend segment is identified as a fluctuation segment.

8. The method for intelligent monitoring of the state of a generator circuit breaker according to claim 1, characterized in that: The control unit marks the rising segment and the fluctuation segment by marking the rising segment and the fluctuation segment with different colors; The monitoring module acquires power parameters including current, voltage and power factor.

9. A system using the method for intelligent monitoring of the state of a generator circuit breaker according to any one of claims 1 to 8, characterized in that: include: A monitoring module, comprising a temperature sensor arranged on the generator for obtaining the temperature of the generator, a multi-function electric meter arranged on the generator for obtaining electric power parameters, a phase monitoring unit arranged on the generator for obtaining a current phase diagram, and a phase monitoring unit for obtaining a voltage phase diagram; A compensation module, including a capacitor for compensating an inductive load and a reactor for compensating a capacitive load; A control module, which is connected to the monitoring module and the compensation module, and includes a state monitoring unit and a control unit; The state monitoring unit is used to calculate the generator operation state characterization parameter according to the phase difference between the current and the voltage combined with the temperature, and classify the generator operation state category according to the generator operation state characterization parameter; The control unit is used to select an analysis method of the generator circuit breaker according to the operating state of the generator, including: Obtain the current phase diagram and the voltage phase diagram, divide them into several time domain segments, identify the characteristic time domain segments and the non-characteristic time domain segments according to the phase difference fluctuation value between the current and the voltage, determine whether to start the compensation module according to the phase difference between the current and the voltage, obtain the ambient environment parameters of the generator, including the air temperature and the air humidity, and determine whether there is any abnormality in the generator environment; Or, obtain power parameters to draw a power parameter trend graph, identify the rising segment and the fluctuating segment of the power parameter trend graph, and mark the rising segment and the fluctuating segment.

10. A device carrying the system according to claim 9, characterized in that: It comprises a shell; the monitoring module, the compensation module and the control module are integrally packaged in the shell.

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