An intelligent state monitoring method, system and device for a generator

Abstract

The present invention relates to the technical field of distribution monitoring, and particularly to an intelligent monitoring method, system and device for the state of a generator. The monitoring module of the present invention acquires the temperature of the generator, acquires power parameters, acquires the current and the voltage phase diagram. The compensation module includes a capacitor and a reactor. The regulation module includes a state monitoring unit and a control unit. The state monitoring unit calculates the characteristic parameters representing the operating state of the generator, classifies the operating state categories of the generator. The control unit selects an analysis method, 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, determines whether to start the compensation module according to the phase difference between the current and the voltage, acquires the ambient parameters around the generator, including the air temperature and the air humidity, determines whether there is an abnormality in the generator environment, or acquires the 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.

Description

Technical Field

[0001] The present invention relates to the technical field of distribution monitoring, and particularly to an intelligent state monitoring method, system and device for a generator. Background Art

[0002] The generator outlet circuit breaker is used in a power plant to quickly disconnect the generator from the system. It is a circuit breaker that can break large-amplitude currents and has excellent arc extinguishing functions. The generator outlet circuit breaker, especially for large-capacity ones, has an internal structure that includes electrical units such as arc contacts, main contacts, and arc extinguishing chambers, as well as complex mechanical drive mechanisms. Any problem with a single component may cause damage to the generator outlet circuit breaker.

[0003] Chinese Patent Publication No.: CN111555444A discloses an intelligent power distribution monitoring system, which includes 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 send working instructions to the data acquisition unit and the emergency processing unit; receive the data collected by the data acquisition unit, process and analyze the data, and packetize the processed data in a specified format and send it 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 units arranged at each monitoring point and perform real-time monitoring and control of the intelligent power distribution monitoring system through preset software.

[0004] However, the following problems still exist in the prior art.

[0005] In the prior art, the phase difference between the current and voltage in the generator and the influence of the generator temperature on the generator operation efficiency are not considered, and the operating state of the generator is not divided. As a result, the efficiency during the generator operation and the influence of the generator operating environment on the generator cannot be obtained in a timely manner, leading to problems of low monitoring reliability for the generator and poor power consumption reliability. Summary of the Invention

[0006] Therefore, the present invention provides an intelligent state monitoring method, system and device for a generator to overcome the problems in the prior art that the phase difference between the current and voltage in the generator and the generator temperature are not considered, and the operating state of the generator is not divided, so that the efficiency during the generator operation and the influence of the generator operating environment on the generator cannot be obtained in a timely manner, resulting in low monitoring reliability for the generator and poor power consumption reliability.

[0007] To achieve the above object, on the one hand, the present invention provides an intelligent state monitoring method for a generator, including:

[0008] A monitoring module obtains a number of parameters during the operation of the generator, where the number of parameters includes generator temperature, electrical parameters, current phase, and voltage phase;

[0009] A compensation module compensates for the inductive load and capacitive load of the generator respectively;

[0010] A regulation module calculates a generator operation state characterization parameter according to the phase difference between the current and the voltage in combination with the generator temperature, and divides the generator operation state category according to the generator operation state characterization parameter;

[0011] The regulation module selects an analysis method for the generator according to the generator operation state, where the analysis method includes obtaining a current phase diagram and a voltage phase diagram, dividing a number of time domains, identifying a characteristic time domain and a non-characteristic time domain according to the phase difference fluctuation value between the current and the voltage, determining whether to start the compensation module according to the phase difference between the current and the voltage, obtaining the ambient parameters around the generator, including air temperature and air humidity, and determining whether there is an abnormality in the generator environment;

[0012] Or, obtain electrical parameters to draw an electrical parameter trend diagram, identify the rising segment and the fluctuating segment of the electrical parameter trend diagram, and mark the rising segment and the fluctuating segment.

[0013] Further, the dividing the generator operation state category according to the generator operation state characterization parameter includes:

[0014] Comparing the generator operation state characterization parameter with a preset generator operation state characterization parameter comparison threshold,

[0015] If the generator operation state characterization parameter is greater than the preset generator operation state characterization parameter comparison threshold, the state monitoring unit divides the generator operation state category into an unstable tendency operation category;

[0016] If the generator operation state characterization parameter is less than or equal to the preset generator operation state characterization parameter comparison threshold, the state monitoring unit divides the generator operation state category into a stable tendency operation category.

[0017] Further, the control unit selects an analysis method according to the generator operation state category, where,

[0018] If the operating state category of the generator is the non - stable - tendency operating category, the control unit acquires the current phase diagram and the voltage phase diagram, divides several time domains, identifies the characteristic time domain and the non - characteristic time domain 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, acquires the ambient parameters around the generator, including the air temperature and the air humidity, and determines whether there is an abnormality in the generator environment;

[0019] If the operating state category of the generator is the stable - tendency operating category, the control unit acquires the power parameters to draw a power - parameter trend diagram, identifies the rising segment and the fluctuating segment of the power - parameter trend diagram, and marks the rising segment and the fluctuating segment.

[0020] Further, the process of identifying the characteristic time domain and the non - characteristic time domain according to the phase - difference fluctuation value between the current and the voltage includes:

[0021] Acquire the maximum phase difference and the minimum phase difference between the current and the voltage within the time domain;

[0022] Determine the difference between the maximum phase difference and the minimum phase difference between the current and the voltage as the phase - difference fluctuation value between the current and the voltage within the time domain;

[0023] Compare the phase - difference fluctuation value between the current and the voltage within the time domain with the preset phase - difference fluctuation - value comparison threshold;

[0024] If the phase - difference fluctuation value between the current and the voltage within the time domain is greater than the preset phase - difference fluctuation - value comparison threshold, the control unit identifies the time domain as the characteristic time domain;

[0025] If the phase - difference fluctuation value between the current and the voltage within the time domain is less than or equal to the preset phase - difference fluctuation - value comparison threshold, the control unit identifies the time domain as the non - characteristic time domain.

[0026] Further, determining whether to start the compensation module according to the phase difference between the current and the voltage includes:

[0027] Acquire the phase difference between the current and the voltage within the characteristic time domain;

[0028] Compare the phase difference between the current and the voltage with the preset phase - difference comparison threshold;

[0029] If the phase difference between the current and the voltage is greater than the preset phase - difference comparison threshold, it is determined to start the compensation module;

[0030] If the phase of the current leads the phase of the voltage, start the reactor; if the phase of the current lags behind the phase of the voltage, start the capacitor.

[0031] Further, acquiring the ambient parameters around the generator, including the air temperature and the air humidity, and determining whether there is an abnormality in the generator environment,

[0032] Obtain the ambient parameters around the generator in the non-characteristic time domain segment;

[0033] Compare the air temperature with the preset air temperature comparison threshold, and compare the air humidity with the preset air humidity comparison threshold;

[0034] If the first preset condition is satisfied, it is determined that there is an abnormality in the generator environment;

[0035] The first preset condition is that the air temperature is greater than the preset air temperature comparison threshold, or the air humidity is greater than the preset air humidity comparison threshold.

[0036] Further, the process of identifying the rising segment and the fluctuating segment of the power parameter trend graph includes:

[0037] Divide the power parameter trend graph into several trend segments;

[0038] Fit the trend segment curve with several linear straight lines within the preset slope range;

[0039] If the fitting degree of the trend segment curve and any linear straight line is greater than the preset fitting degree comparison threshold, identify the trend segment as the rising segment;

[0040] Obtain the maximum value and the minimum value of the power parameter within 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;

[0041] Compare the power parameter fluctuation value with the preset power parameter fluctuation value comparison threshold;

[0042] If the power parameter fluctuation value is greater than the preset power parameter fluctuation value comparison threshold, identify the trend segment as the fluctuating segment.

[0043] Further, the control unit marks the rising segment and the fluctuating segment by marking colors for the rising segment and the fluctuating segment, and the colors used for marking the rising segment and the fluctuating segment are different;

[0044] The monitoring module obtains power parameters including: current, voltage, and power factor.

[0045] On the other hand, the present invention provides a system applying the above-mentioned state intelligent monitoring method for a generator, including:

[0046] A monitoring module, including a temperature sensor arranged on the generator for obtaining the temperature of the generator, a multi-functional electric meter arranged on the generator for obtaining 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;

[0047] The compensation module includes a capacitor for compensating inductive loads and a reactor for compensating capacitive loads;

[0048] The regulation module, which is connected to the monitoring module and the compensation module, includes a status monitoring unit and a control unit;

[0049] The status monitoring unit is used to calculate the characterization parameters of the generator operation state according to the phase difference between the current and the voltage combined with the temperature, and divide the generator operation state categories according to the characterization parameters of the generator operation state;

[0050] The control unit is used to select the analysis method of the generator according to the generator operation state, including:

[0051] Obtain the current phase diagram and the voltage phase diagram, divide several time domain segments, identify the characteristic time domain segments and 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 parameters of the generator, including the air temperature and the air humidity, and determine whether there is an abnormality in the generator environment;

[0052] Or, obtain the power parameters and draw the power parameter trend diagram, identify the rising segment and the fluctuation segment of the power parameter trend diagram, and mark the rising segment and the fluctuation segment.

[0053] On the other hand, the present invention provides a device carrying the above system, including a housing; the monitoring module, the compensation module and the regulation module are integrally encapsulated in the housing.

[0054] Compared with the prior art, the monitoring module of the present invention obtains the generator temperature, obtains the power parameters, obtains the current and voltage phase diagrams, the compensation module includes a capacitor and a reactor, the regulation module includes a status monitoring unit and a control unit, the status monitoring unit calculates the characterization parameters of the generator operation state, divides the generator operation state categories, the control unit selects the analysis method, identifies the characteristic time domain segments and 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 ambient parameters of the generator, including the air temperature and the air humidity, and determines whether there is an abnormality in the generator environment, or obtains the power parameters and draws the power parameter trend diagram, identifies the rising segment and the fluctuation segment of the power parameter trend diagram. The present invention can improve the monitoring reliability of the generator, thereby improving the power consumption reliability.

[0055] In particular, the state monitoring unit of the present invention is used to calculate the characterization parameter of the generator operating state based on the phase difference between the current and the voltage in combination with the winding temperature. In an AC circuit, inductance will cause a phase difference between the voltage and the current. When a voltage is applied to an inductor, the current will lag behind the voltage, while capacitance will cause the current to lead the voltage. When a voltage is applied to a capacitor, the current will lead the voltage. When there is a phase difference between the current and the voltage, the operating efficiency of the generator is relatively low. The copper wire resistance in the generator will cause copper loss. When the winding temperature rises, the resistance of copper will increase, resulting in an increase in copper loss. A higher winding temperature will lead to higher copper loss, thereby reducing the efficiency of the generator. Therefore, the phase difference between the current and the voltage and the winding temperature are important influencing parameters affecting the operating efficiency of the generator. By calculating the characterization parameter of the generator operating state based on the phase difference between the current and the voltage and the winding temperature, a certain degree of characterization can be made on the stable tendency state of the generator operation. Calculating the characterization parameter of the generator operating state can provide data support for subsequent analysis, improve the monitoring reliability of the generator, and thus improve the power consumption reliability.

[0056] In particular, the state monitoring unit of the present invention divides the generator operating state categories according to the characterization parameter of the generator operating state. When the phase difference between the current and the voltage is large, the power factor is small, and at this time, the reactive power is large. When the winding temperature is high, the copper loss is higher at this time. Therefore, when the phase difference between the current and the voltage is large and the winding temperature is high, the operating state of the generator is less stable. By dividing the operating state of the generator, different analysis methods can be adopted for generators in different operating states, thereby improving the monitoring reliability of the generator and thus improving the power consumption reliability.

[0057] 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 a large fluctuation in the phase difference between the current and the voltage, the characteristic time domain segment and the non-characteristic time domain segment are identified through the phase difference fluctuation value. Thus, 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 generator operation. By adopting different analysis methods for different time domain segments, the monitoring reliability of the generator can be improved, and thus the power consumption reliability can be improved.

[0058] In particular, the control unit of the present invention identifies the rising segment and the fluctuating segment of the power parameter trend graph, marks the rising segment and the fluctuating segment. By identifying the rising segment and the fluctuating segment, it helps to analyze the performance of the generator, and evaluate the load condition, stability and response ability of the generator. By identifying these trends, opportunities for improving the generator can be identified, thereby improving the operating efficiency and reliability of the generator. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] Figure 1 is a flowchart of the method for intelligent monitoring of the state of the generator according to an embodiment of the invention;

[0060] Figure 2 is a structural diagram of the intelligent monitoring system for the state of the generator according to an embodiment of the invention;

[0061] Figure 3 is a structural diagram of the regulation module of the intelligent power distribution monitoring system according to an embodiment of the invention;

[0062] Figure 4 is a logical decision diagram for the state monitoring unit to classify the operating state of the generator according to an embodiment of the invention;

[0063] Figure 5 is a logical decision diagram for the control unit to determine whether there is an abnormality in the generator environment according to an embodiment of the invention. DETAILED DESCRIPTION OF THE INVENTION

[0064] In order to make the objectives and advantages of the present invention clearer and more understandable, the present invention will be 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.

[0065] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principles of the present invention and do not limit the protection scope of the present invention.

[0066] 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 directly connected, or indirectly connected through an intermediate medium, and it can be the communication inside 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 situations.

[0067] Please refer to Figures 1 - 5 as shown Figure 1 is a flowchart of the method for intelligent monitoring of the state of the generator according to an embodiment of the present invention; Figure 2Structural diagram of the state intelligent monitoring system of the generator in the invention embodiment; Figure 3 Structural diagram of the regulation module of the intelligent power distribution monitoring system in the invention embodiment; Figure 4 Logic decision diagram for the state monitoring unit in the invention embodiment to classify the operating states of the generator; Figure 5 Logic decision diagram for the control unit in the invention embodiment to determine whether there is an abnormality in the generator environment.

[0068] The state intelligent monitoring method of the generator in the invention embodiment includes,

[0069] Step S1: The monitoring module obtains several parameters during the operation of the generator, where the several parameters include generator temperature, power parameters, current phase, and voltage phase;

[0070] Step S2: The compensation module compensates the inductive load and capacitive load of the generator respectively;

[0071] Step S3: The regulation module calculates the operating state characterization parameter of the generator according to the phase difference between the current and the voltage combined with the generator temperature;

[0072] Step S4: Classify the operating state categories of the generator according to the operating state characterization parameter of the generator;

[0073] Step S5: The regulation module selects the analysis method for the generator according to the operating state of the generator;

[0074] Among them, the analysis method includes obtaining the current phase diagram and voltage phase diagram, dividing several time domains, identifying the characteristic time domain and non-characteristic time domain according to the phase difference fluctuation value between the current and the voltage, determining whether to start the compensation module according to the phase difference between the current and the voltage, obtaining the ambient parameters of the generator, including air temperature and air humidity, and determining whether there is an abnormality in the generator environment;

[0075] Or, obtain the power parameters to draw the power parameter trend diagram, identify the rising section and the fluctuation section of the power parameter trend diagram, and mark the rising section and the fluctuation section.

[0076] The state intelligent monitoring system of the generator of the present invention includes:

[0077] The monitoring module includes a temperature sensor arranged on the generator to obtain the generator temperature, a multi-functional electric meter arranged on the generator to obtain the power parameters, a phase monitoring unit arranged on the generator to obtain the current phase diagram, and a phase monitoring unit to obtain the voltage phase diagram;

[0078] The compensation module includes a capacitor for compensating the inductive load and a reactor for compensating the capacitive load;

[0079] A regulation module, which is connected to a monitoring module and a compensation module, includes a status monitoring unit and a control unit;

[0080] The status monitoring unit is used to calculate a generator operation status characterization parameter according to the phase difference between current and voltage in combination with temperature, and divide the generator operation status category according to the generator operation status characterization parameter;

[0081] The control unit is used to select an analysis method for the generator according to the generator operation status, including:

[0082] Obtain a current phase diagram and a voltage phase diagram, divide several time domains, identify a characteristic time domain and a non-characteristic time domain according to the phase difference fluctuation value between current and voltage, determine whether to start the compensation module according to the phase difference between current and voltage, obtain the ambient parameters around the generator, including air temperature and air humidity, and determine whether there is an abnormality in the generator environment;

[0083] Or, obtain power parameters to draw a power parameter trend diagram, identify the rising section and the fluctuating section of the power parameter trend diagram, and mark the rising section and the fluctuating section.

[0084] 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. For example, an infrared remote temperature sensor, which is the prior art and will not be limited anymore.

[0085] Specifically, the present invention does not limit the specific structure of the regulation module. The status monitoring unit and the control unit can both 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 the computer, which is the prior art and will not be elaborated anymore.

[0086] Specifically, the status monitoring unit calculates the generator operation status characterization parameter according to formula (1),

[0087]

[0088] In formula (1), W represents the generator operation status characterization parameter, φ represents the phase difference between current and voltage, φ0 represents the preset phase difference threshold of current and voltage, T represents the winding temperature, T0 represents the preset winding temperature threshold, and e represents the natural constant.

[0089] In this embodiment, φ0 and T0 are measured in advance through experiments. Among them, the generator operation is continuously monitored in advance to obtain the average phase difference φe between current and voltage, and let φ0 = a×φe, 1.2 < a < 1.3, a is the phase difference coefficient, obtain the average temperature Te of the winding, and let T0 = b×Te, 1.2 < b < 1.3, b is the temperature coefficient.

[0090] Specifically, the state monitoring unit of the present invention is used to calculate the characterization parameter of the generator operation state based on the phase difference between the current and the voltage in combination with the winding temperature. In an AC circuit, inductance will cause a phase difference between the voltage and the current. When a voltage is applied to an inductor, the current will lag behind the voltage, while capacitance will cause the current to lead the voltage. When a voltage is applied to a capacitor, the current will lead the voltage. When there is a phase difference between the current and the voltage, the operating efficiency of the generator is relatively low. The copper wire resistance in the generator will cause copper losses. When the winding temperature rises, the resistance of copper will increase, resulting in an increase in copper losses. A higher winding temperature will lead to higher copper losses, thereby reducing the efficiency of the generator. Therefore, the phase difference between the current and the voltage and the winding temperature are important influencing parameters affecting the operating efficiency of the generator. By calculating the characterization parameter of the generator operation state based on the phase difference between the current and the voltage and the winding temperature, a certain degree of characterization can be made on the stable tendency state of the generator operation. Calculating the characterization parameter of the generator operation state can provide data support for subsequent analysis, improve the monitoring reliability of the generator, and thus improve the power consumption reliability.

[0091] Specifically, the state monitoring unit divides the generator operation state categories according to the characterization parameter of the generator operation state, including:

[0092] Compare the characterization parameter of the generator operation state with the preset comparison threshold of the characterization parameter of the generator operation state.

[0093] If the characterization parameter of the generator operation state is greater than the preset comparison threshold of the characterization parameter of the generator operation state, the state monitoring unit divides the generator operation state category into the non-stable tendency operation category;

[0094] If the characterization parameter of the generator operation state is less than or equal to the preset comparison threshold of the characterization parameter of the generator operation state, the state monitoring unit divides the generator operation state category into the stable tendency operation category.

[0095] In this embodiment, the preset comparison threshold of the characterization parameter of the generator operation state is selected within the range of [1.55, 1.60].

[0096] Specifically, the state monitoring unit of the present invention divides the generator operation state categories according to the characterization parameter of the generator operation state. 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 losses are higher at this time. Therefore, when the phase difference between the current and the voltage is large and the winding temperature is high, the operation state of the generator is less stable. By dividing the operation state of the generator, different analysis methods can be adopted for generators in different operation states, thereby improving the monitoring reliability of the generator and thus improving the power consumption reliability.

[0097] Specifically, the control unit selects an analysis method according to the generator operation state category, where,

[0098] If the generator operation state category is an unstable tendency operation category, the control unit acquires the current phase diagram and the voltage phase diagram, divides several time domain segments, identifies the characteristic time domain segments and 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, acquires the ambient parameters around the generator, including the air temperature and the air humidity, and determines whether there is an abnormality in the generator environment;

[0099] If the generator operation state category is a stable tendency operation category, the control unit identifies the rising segments and the fluctuating segments of the power parameter trend diagram and marks the rising segments and the fluctuating segments.

[0100] Specifically, the control unit identifies the characteristic time domain segments and non-characteristic time domain segments according to the phase difference fluctuation value between the current and the voltage,

[0101] acquires the maximum phase difference and the minimum phase difference between the current and the voltage within the time domain segment;

[0102] determines the difference between the maximum phase difference and the minimum phase difference between the current and the voltage as the phase difference fluctuation value between the current and the voltage within the time domain segment;

[0103] compares the phase difference fluctuation value between the current and the voltage within the time domain segment with the preset phase difference fluctuation value comparison threshold;

[0104] If the phase difference fluctuation value between the current and the voltage within the time domain segment is greater than the preset phase difference fluctuation value comparison threshold, the control unit identifies the time domain segment as a characteristic time domain segment;

[0105] If the phase difference fluctuation value between the current and the voltage within the time domain segment is less than or equal to the preset phase difference fluctuation value comparison threshold, the control unit identifies the time domain segment as a non-characteristic time domain segment.

[0106] In this embodiment, the preset phase difference fluctuation value comparison threshold B0 is pre-measured experimentally, continuously acquires the phase difference fluctuation value during the operation of the generator, calculates the average phase difference fluctuation value Be, and sets B0 = c×Be, where c is the phase difference fluctuation coefficient and 1.2 < c < 1.3.

[0107] 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 a large fluctuation in the phase difference between the current and the voltage, the characteristic time domain segment and the non-characteristic time domain segment are identified through the phase difference fluctuation value, so that the load can be analyzed in the characteristic time domain segment and the load can be compensated, thereby improving the operation 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 power consumption reliability.

[0108] Specifically, the control unit determines whether to activate the compensation module according to the phase difference between the current and the voltage.

[0109] Obtain the phase difference between the current and the voltage within the characteristic time domain segment;

[0110] Compare the phase difference between the current and the voltage with the preset phase difference comparison threshold;

[0111] If the phase difference between the current and the voltage is greater than the preset phase difference comparison threshold, it is determined to activate the compensation module;

[0112] If the phase of the current leads the phase of the voltage, the reactor is activated. If the phase of the current lags behind the phase of the voltage, the capacitor is activated.

[0113] In this embodiment, the preset phase difference comparison threshold φb = d×φe, 1.2 < d < 1.4, and d is the phase difference comparison threshold coefficient.

[0114] Specifically, the control unit obtains the ambient parameters around the generator, including the air temperature and the air humidity, and determines whether there is an abnormality in the generator environment.

[0115] Obtain the ambient parameters around the generator within the non-characteristic time domain segment;

[0116] Compare the air temperature with the preset air temperature comparison threshold, and compare the air humidity with the preset air humidity comparison threshold;

[0117] If the first preset condition is satisfied, it is determined that there is an abnormality in the generator environment;

[0118] The first preset condition is that the air temperature is greater than the preset air temperature comparison threshold, or the air humidity is greater than the preset air humidity comparison threshold.

[0119] In this embodiment, the preset air temperature comparison threshold is selected in the range of [35°C, 40°C], and the preset air humidity comparison threshold is selected in the range of [65%, 70%].

[0120] Specifically, the control unit identifies the rising segment and the fluctuating segment of the power parameter trend graph,

[0121] and divides the power parameter trend graph into several trend segments;

[0122] fits the trend segment curve with several linear straight lines within a preset slope range;

[0123] If the fitting degree of the trend segment curve and any linear straight line is greater than the preset fitting degree comparison threshold, then the trend segment is identified as a rising segment;

[0124] Obtain the maximum value and the minimum value of the power parameter within 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;

[0125] Compare the power parameter fluctuation value with the preset power parameter fluctuation value comparison threshold;

[0126] If the power parameter fluctuation value is greater than the preset power parameter fluctuation value comparison threshold, then the trend segment is identified as a fluctuating segment.

[0127] In this embodiment, the preset slope range is that the slope value k of the linear straight line is [0.57, 1.73]. It can be understood that when fitting the trend segment curve with the linear straight line, the trend segment curve is fitted with several linear straight lines with slope values of 0.57 - 1.73. If the fitting degree of the trend segment curve and any of the linear straight lines is relatively high, it can be determined that the trend segment shows an upward trend, and the preset fitting degree comparison threshold is selected within the range of [0.7, 0.8].

[0128] In this embodiment, the trend segment curve can be fitted using analysis software, and the analysis software can be MATLAB, which is prior art.

[0129] In this embodiment, the preset comparison threshold for power parameter fluctuations includes a preset comparison threshold I0 for current fluctuations, a preset comparison threshold U0 for voltage fluctuations, and a preset comparison threshold PF0 for power factor. I0, U0, and PF0 are measured in advance through experiments. Continuously monitor the operation of the generator to obtain the power parameters of the generator. Every preset time, obtain the average current fluctuation value Ie, the average voltage fluctuation value Ue, and the average power factor fluctuation value PFe. The preset time is selected within the range of [30 min, 60 min]. Let I0 = r × Ie, where r is the current fluctuation coefficient, 1.1 < r < 1.2; U0 = f × Ue, where f is the voltage fluctuation coefficient, 1.1 < f < 1.2; PF0 = g × PFe, where 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 comparison threshold for power parameter fluctuations, compare the current fluctuation value with the preset comparison threshold for current fluctuations, compare the voltage fluctuation value with the preset comparison threshold for voltage fluctuations, and compare the power factor fluctuation value with the preset comparison threshold for power factor fluctuations.

[0130] Specifically, the marking of the rising section and the fluctuating section by the control unit includes:

[0131] The control unit marks the colors of the rising section and the fluctuating section;

[0132] Among them, the colors used to mark the rising section and the fluctuating section are different.

[0133] Specifically, the control unit of the present invention identifies the rising section and the fluctuating section of the power parameter trend graph, marks the rising section and the fluctuating section. By identifying the rising section and the fluctuating section, it is helpful to analyze the performance of the generator, and evaluate the load condition, stability and response ability of the generator. By identifying these trends, opportunities for improving the generator can be identified, thereby improving the operating efficiency and reliability of the generator.

[0134] Specifically, the power parameters obtained by the monitoring module include: current, voltage, and power factor.

[0135] So far, the technical solution of the present invention has been described in combination with the preferred embodiments shown in the 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 status of a generator, 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 capacitive load of the generator 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 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 status of a generator 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 status of a generator 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 status of a generator 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 status of a generator 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 status of a generator 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 status of a generator 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 status of a generator 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 status of a generator 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 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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