An electrical engineering automation monitoring system and method

Abstract

The present invention discloses an electrical engineering automation monitoring system and method, which relate to the field of electrical engineering monitoring technology. Through the cooperation of three algorithm units, a core architecture of the electrical engineering automation monitoring system is formed. The system comprehensively considers multiple influencing factors such as current fluctuation value, total harmonic distortion rate, and humidity of the air in the environment where the electrical equipment is located, and calculates the final output power P3. The system can accurately evaluate the operating efficiency of the equipment in the actual environment, can detect the efficiency decline caused by equipment aging or load imbalance, and optimize the power output of multiple electrical equipment by adjusting the load impedance Z or voltage V, thereby ensuring that multiple electrical equipment in the monitored electrical engineering can maintain maximum energy efficiency under different load conditions. The system can also adjust the monitoring cycle of multiple electrical equipment. Under limited monitoring resources, low-efficiency electrical equipment can be monitored and maintained, thereby improving the monitoring efficiency of the electrical engineering automation monitoring system.

Description

Technical Field

[0001] The present invention relates to the technical field of electrical engineering monitoring, and in particular to an electrical engineering automation monitoring system and method. Background Art

[0002] During the operation of electrical equipment in electrical engineering, its operating status needs to be monitored in real time, such as the collection and judgment of voltage and current signals. It is necessary to pay attention to and ensure the stability of its operation at all times to meet the technical requirements of high stability and high safety.

[0003] The current electrical engineering automation monitoring method in the existing technology often requires operation and maintenance personnel to regularly manually measure the voltage and current of electrical equipment in the electrical project through a multimeter to determine the operating energy efficiency of the electrical equipment. When there are multiple electrical devices in an electrical project, manual monitoring and maintenance will consume a lot of human resources. It is also difficult to accurately monitor the current fluctuations of multiple electrical devices during the operation of the electrical project, it is difficult to optimize the power output according to the environmental influences and actual operating status of multiple electrical devices, and it is difficult to focus on monitoring low-efficiency electrical equipment with limited monitoring resources.

[0004] Therefore, there is an urgent need for an electrical engineering automation monitoring system and method to solve the above problems. Summary of the Invention

[0005] The purpose of the present invention is to provide an electrical engineering automation monitoring system and method to solve the problems raised in the above background technology.

[0006] To achieve the above object, the present invention provides the following electrical engineering automation monitoring system, comprising:

[0007] The data collection module is used to monitor the current per minute of electrical equipment in electrical engineering through current probes, measure the voltage V and load impedance Z of electrical equipment through multimeters, and obtain the active power P of electrical equipment through smart meters and power analyzer meters. act , apparent power P app Upload to the database together;

[0008] It is also used to measure and monitor the fundamental wave amplitude I1 and the amplitudes of multiple harmonic components of electrical equipment in electrical engineering through a harmonic analyzer, and to measure the temperature inside the electrical engineering equipment and the humidity of the air in the environment where the electrical equipment is located through a temperature sensor and a humidity sensor, and upload them together to the database;

[0009] The data preprocessing module is used to decode and preprocess the data information in the database to obtain the parameters involved in the calculation in the calculation processing module;

[0010] The calculation processing module is used to substitute the parameter values ​​obtained after decoding preprocessing into the preliminary power algorithm unit to calculate the preliminary power P1 and the rated power and upload them to the database;

[0011] Used to input the calculated preliminary power P1 as an input parameter into the effective power algorithm unit to calculate the effective power P2 and upload it to the database;

[0012] It is also used to input the calculated preliminary power P1 and effective power P2 as input parameters to the final output power algorithm unit to calculate the final output power P3 of the electrical equipment after being affected by humidity and temperature;

[0013] The monitoring alarm and monitoring resource allocation module is used to provide alarms and monitor resource allocation when electrical equipment in electrical engineering is running at low power.

[0014] Optionally, the monitoring alarm and monitoring resource allocation specifically include:

[0015] In the database, 0.3 times the rated power is set as the low energy threshold, and 0.6 times the rated power is set as the warning threshold;

[0016] Comparing a plurality of different final output powers P3 calculated for a plurality of electrical equipment in electrical engineering with a low energy threshold and a warning threshold;

[0017] For electrical equipment whose final output power P3 is higher than the warning threshold, maintain a monitoring frequency of once every ten minutes;

[0018] For electrical equipment whose final output power P3 is lower than the warning threshold and higher than the low energy threshold, increase the monitoring frequency from once every ten minutes to once every minute;

[0019] For electrical equipment whose final output power P3 is lower than the low-energy threshold, an alarm is triggered to remind operation and maintenance personnel that the energy efficiency of the electrical equipment is low and maintenance is required.

[0020] Optionally, the calculation processing module includes a preliminary power algorithm unit, an effective power algorithm unit and a final output power algorithm unit.

[0021] Optionally, the preliminary power algorithm unit is as follows:

[0022] ;

[0023] in:

[0024] P1 stands for preliminary power:

[0025] V stands for voltage, in volts;

[0026] Z represents the load impedance in ohms;

[0027] In represents the current at the time of detection, in amperes;

[0028] Ipm represents the current at the last detection moment, in amperes;

[0029] β is the influence coefficient, which is used to adjust the influence of current fluctuation value on the calculation of preliminary power P1. Its value range is 0.1 to 5 and it can be self-adjusted in the electrical engineering automation monitoring system.

[0030] α represents the loss factor, which indicates the percentage of loss in the electrical system. It is obtained by subtracting the output power from the input power of the electrical system and then dividing it by the input power.

[0031] In the formula calculation:

[0032] This section indicates that under ideal conditions, the power in the electrical system is based on the relationship between the voltage V and the load impedance Z. That is, when there are no other factors affecting it, the power is proportional to the square of the voltage V and inversely proportional to the load impedance Z. When the voltage V in the electrical system increases and the load impedance Z remains unchanged, the calculated preliminary power P1 will increase. Conversely, when the voltage V in the electrical system remains unchanged and the load impedance Z increases, the calculated preliminary power P1 will decrease.

[0033] This part uses the current In at the detection time minus the current Ipm at the previous detection time to take the absolute value, which represents the current fluctuation value of the electrical system within ten minutes. This part indicates that the calculated current fluctuation value is multiplied by the influence coefficient β and then added to 1, which has a positive impact on the calculation of the preliminary power P1;

[0034] when When the current fluctuation value calculated in this part approaches 0, The value of this product term is close to 1, which means that there is almost no current fluctuation in the electrical system, so it will not affect the calculation of the preliminary power P1;

[0035] This part represents the reverse effect of the proportion of energy loss caused by losses in the electrical system on the calculation of the preliminary power P1. For example, when the input power is 1000W and the output power is 900W, the loss coefficient α = (1000-900) / 1000 = 0.1, which means that 10% of the power of the electrical system cannot be effectively used due to losses. The value of this part is 0.9, thereby reducing the calculated preliminary power P1.

[0036] Optionally, the effective power algorithm unit is as follows:

[0037] ;

[0038] in:

[0039] P2 represents the effective power:

[0040] P1 stands for preliminary power;

[0041] P act Represents active power, which is the actual effective power used to do useful work in electrical engineering systems, measured by smart meters and power analyzers;

[0042] P app Represents apparent power, which is the total power provided by the power supply in the electrical engineering system, measured by a smart meter;

[0043] Thd stands for total harmonic distortion, which is used to measure the degree of harmonic distortion in the power system to evaluate the distortion of current and voltage waveforms in electrical engineering systems;

[0044] γ is the adjustment coefficient, which is used to adjust the influence of the total harmonic distortion rate Thd on the calculation of the effective power P2. The value range is 0 to 1 and can be self-adjusted in the electrical engineering automation monitoring system.

[0045] In the formula calculation:

[0046] This part indicates the correction factor of harmonic distortion in the calculation of effective power P2. The total harmonic distortion rate Thd indicates the degree of distortion of the voltage or current waveform. The larger the harmonic distortion rate Thd, the more serious the waveform distortion, and the lower the effective value of the output power in the electrical engineering system. The smaller the calculated value of this part is, the lower the calculated effective power P2 will be;

[0047] This part represents the active power P in the electrical engineering system. act Used to divide the apparent power P app After that, we get the power factor, which reflects the efficiency of power use. When the active power P act When it increases, The value of this part will increase, thereby increasing the calculated effective power P2. Its value directly has a positive impact on the calculation of the effective power P2. The closer the value of this part is to 1, the more effective the conversion of most of the transmitted electrical energy in the electrical engineering system into useful work, the higher the efficiency of the power system, and the less energy waste.

[0048] Optionally, the total harmonic distortion rate Thd is calculated as follows:

[0049] ;

[0050] in:

[0051] Thd stands for total harmonic distortion;

[0052] I1 represents the fundamental amplitude, which is the main frequency component and is measured using a harmonic analyzer;

[0053] I2,I3,I4,……,I n Represents the amplitude of the harmonic component, measured using a harmonic analyzer;

[0054] In the formula calculation:

[0055] The ratio obtained by taking the square root of the sum of the squares of all harmonic components and dividing it by the fundamental amplitude I1 is the total harmonic distortion rate Thd.

[0056] Optionally, the final output power algorithm unit is as follows:

[0057] ;

[0058] in:

[0059] P3 represents the final output power;

[0060] P2 represents effective power;

[0061] Ah represents humidity, that is, the humidity of the air in the environment where the electrical equipment is located, which is measured in real time by a humidity sensor;

[0062] At represents temperature, that is, the temperature inside the electrical engineering equipment, which is measured in real time by a temperature sensor;

[0063] δ represents the humidity adjustment factor, which ranges from 0.001 to 0.01 and can be self-adjusted in the electrical engineering automation monitoring system. Specifically:

[0064] μ represents the temperature adjustment factor, which ranges from 0.001 to 0.01 and can be self-adjusted in the electrical engineering automation monitoring system;

[0065] In the formula calculation:

[0066] This part represents the influence factor of humidity Ah on the system output power P3. Humidity Ah and humidity adjustment factor δ work together to affect the calculation of system output power P3. When humidity Ah increases, This part is used as the numerator of the formula, and the calculated value is reduced, thereby reducing the calculated system output power P3;

[0067] This part represents the influence factor of temperature At on the system output power P3, and represents the correction coefficient of temperature At on the system output power. The humidity Ah and the temperature adjustment factor μ work together to affect the calculation of the system output power P3. When the temperature At rises, This part is used as the denominator of the formula, and the calculated value increases, thereby reducing the calculated system output power P3, because high temperature will cause the performance of electrical equipment to degrade.

[0068] An electrical engineering automation monitoring method is as follows:

[0069] The current probe in the data collection module monitors the current per minute of the electrical equipment in the electrical engineering, the multimeter measures the voltage V and load impedance Z of the electrical equipment, and then the smart meter and power analyzer meter measure the active power P of the electrical equipment. act , apparent power P app Upload to the database together;

[0070] The harmonic analyzer in the data collection module measures and monitors the fundamental wave amplitude I1 and the amplitudes of multiple harmonic components of electrical equipment in the electrical engineering. The temperature sensor and humidity sensor measure the temperature inside the electrical engineering equipment and the humidity of the air in the environment where the electrical equipment is located, and upload them together to the database;

[0071] The data information in the database is decoded and preprocessed by the data processing module to obtain the parameters involved in the calculation in the calculation processing module;

[0072] Substitute the parameter values ​​obtained after decoding preprocessing into the preliminary power algorithm unit of the calculation processing module to calculate the preliminary power P1 and the rated power and upload them to the database;

[0073] The calculated preliminary power P1 is input as an input parameter to the effective power algorithm unit of the calculation processing module to calculate the effective power P2 and upload it to the database;

[0074] The calculated preliminary power P1 and effective power P2 are input as input parameters to the final output power algorithm unit of the calculation processing module to calculate the final output power P3 of the electrical equipment after being affected by humidity and temperature;

[0075] Monitor alarms and monitor resource allocation through the monitoring alarm and monitoring resource allocation module:

[0076] In the database, 0.3 times the rated power is set as the low energy threshold, and 0.6 times the rated power is set as the warning threshold;

[0077] Comparing a plurality of different final output powers P3 calculated for a plurality of electrical equipment in electrical engineering with a low energy threshold and a warning threshold;

[0078] For electrical equipment whose final output power P3 is higher than the warning threshold, maintain a monitoring frequency of once every ten minutes;

[0079] For electrical equipment whose final output power P3 is lower than the warning threshold and higher than the low energy threshold, increase the monitoring frequency from once every ten minutes to once every minute;

[0080] For electrical equipment whose final output power P3 is lower than the low-energy threshold, an alarm is triggered to remind operation and maintenance personnel that the energy efficiency of the electrical equipment is low and maintenance is required.

[0081] Compared with the prior art, the present invention has the following beneficial effects:

[0082] 1. The present invention forms the core architecture of an electrical engineering automation monitoring system through the mutual cooperation of three algorithm units. It comprehensively considers multiple influencing factors such as current fluctuation value, total harmonic distortion rate, and temperature inside electrical engineering equipment to calculate the final output power P3. It can accurately evaluate the operating efficiency of the equipment in the actual environment, so that the automated monitoring system can adjust the operating status of the equipment according to the calculated final output power P3, detect efficiency decline caused by equipment aging or load imbalance, and optimize the power output of multiple electrical equipment by adjusting the load impedance Z or voltage V, thereby ensuring that multiple electrical equipment in the monitored electrical engineering can maintain maximum energy efficiency under different load conditions.

[0083] 2. The present invention compares multiple different final output powers P3 calculated from multiple electrical equipment in electrical engineering with low-energy thresholds and warning thresholds, and can classify multiple electrical equipment into multiple intervals with different monitoring cycles, so as to focus on monitoring and maintenance of low-energy-efficiency electrical equipment under limited monitoring resources, thereby improving the monitoring efficiency of the electrical engineering automation monitoring system. BRIEF DESCRIPTION OF THE DRAWINGS

[0084] Figure 1 is a flow chart of an electrical engineering automation monitoring method;

[0085] Figure 2 The figure is a module diagram of an electrical engineering automation monitoring system. DETAILED DESCRIPTION

[0086] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0087] For example 1, please refer to Figures 1 to 2 The present invention provides an electrical engineering automation monitoring system, comprising:

[0088] The data collection module is used to monitor the current per minute of electrical equipment in electrical engineering through current probes, measure the voltage V and load impedance Z of electrical equipment through multimeters, and obtain the active power P of electrical equipment through smart meters and power analyzer meters. act , apparent power P app Upload to the database together;

[0089] It is also used to measure and monitor the fundamental wave amplitude I1 and the amplitudes of multiple harmonic components of electrical equipment in electrical engineering through a harmonic analyzer, and to measure the temperature inside the electrical engineering equipment and the humidity of the air in the environment where the electrical equipment is located through a temperature sensor and a humidity sensor, and upload them together to the database;

[0090] The data preprocessing module is used to decode and preprocess the data information in the database to obtain the parameters involved in the calculation in the calculation processing module;

[0091] The calculation processing module is used to substitute the parameter values ​​obtained after decoding preprocessing into the preliminary power algorithm unit to calculate the preliminary power P1 and the rated power and upload them to the database;

[0092] Used to input the calculated preliminary power P1 as an input parameter into the effective power algorithm unit to calculate the effective power P2 and upload it to the database;

[0093] It is also used to input the calculated preliminary power P1 and effective power P2 as input parameters to the final output power algorithm unit to calculate the final output power P3 of the electrical equipment after being affected by humidity and temperature;

[0094] The monitoring alarm and monitoring resource allocation module is used to generate alarms and allocate monitoring resources when electrical equipment in electrical engineering is running at low power. Specifically, it includes:

[0095] In the database, 0.3 times the rated power is set as the low energy threshold, and 0.6 times the rated power is set as the warning threshold;

[0096] Comparing a plurality of different final output powers P3 calculated for a plurality of electrical equipment in electrical engineering with a low energy threshold and a warning threshold;

[0097] For electrical equipment whose final output power P3 is higher than the warning threshold, maintain a monitoring frequency of once every ten minutes;

[0098] For electrical equipment whose final output power P3 is lower than the warning threshold and higher than the low energy threshold, increase the monitoring frequency from once every ten minutes to once every minute;

[0099] For electrical equipment whose final output power P3 is lower than the low-energy threshold, an alarm is triggered to remind operation and maintenance personnel that the energy efficiency of the electrical equipment is low and maintenance is required.

[0100] In this embodiment:

[0101] The present invention forms the core architecture of an electrical engineering automation monitoring system through the mutual cooperation of three algorithm units. It comprehensively considers multiple influencing factors such as current fluctuation value, total harmonic distortion rate, humidity of the air in the environment where the electrical equipment is located, and temperature inside the electrical engineering equipment to calculate the final output power P3, which can more accurately evaluate the operating efficiency of the equipment in the actual environment. The automated monitoring system can adjust the operating status of the equipment according to the calculated final output power P3, can detect the efficiency decline caused by equipment aging or load imbalance, and can optimize the power output by adjusting the load impedance Z or voltage V, thereby ensuring that multiple electrical equipment in the monitored electrical engineering can maintain maximum energy efficiency under different load conditions.

[0102] By comparing the multiple different final output powers P3 calculated from multiple electrical devices with the low-energy threshold and the warning threshold, multiple electrical devices can be classified into multiple intervals with different monitoring cycles, so that low-energy-efficiency electrical equipment can be monitored and maintained with emphasis under limited monitoring resources, thereby improving the monitoring efficiency of the electrical engineering automation monitoring system.

[0103] See also Figures 1 to 2 , the preliminary power algorithm unit is as follows:

[0104] ;

[0105] in:

[0106] P1 stands for preliminary power:

[0107] V stands for voltage, in volts;

[0108] Z represents the load impedance in ohms;

[0109] In represents the current at the time of detection, in amperes, measured by a current probe;

[0110] Ipm represents the current at the last detection moment, in amperes, measured by a current probe;

[0111] β is the influence coefficient, which is used to adjust the influence of current fluctuation value on the calculation of preliminary power P1. Its value range is 0.1 to 5. It can be self-adjusted in the electrical engineering automation monitoring system. Specifically:

[0112] When the load in the electrical system changes, such as when starting or stopping, the value of the current fluctuation Ic will increase. To reflect this state, the value of the influence coefficient β will also increase.

[0113] α stands for loss factor, which is the proportion of energy loss in the electrical system caused by conductor loss, transformer loss and other losses. It expresses the percentage of loss in the electrical system and is calculated by subtracting the output power from the input power of the electrical system and then dividing it by the input power.

[0114] In the formula calculation:

[0115] This section indicates that under ideal conditions, the power in the electrical system is based on the relationship between the voltage V and the load impedance Z. That is, when there are no other factors affecting it, the power is proportional to the square of the voltage V and inversely proportional to the load impedance Z. When the voltage V in the electrical system increases and the load impedance Z remains unchanged, the calculated preliminary power P1 will increase. Conversely, when the voltage V in the electrical system remains unchanged and the load impedance Z increases, the calculated preliminary power P1 will decrease.

[0116] This part uses the current In at the detection time minus the current Ipm at the previous detection time to take the absolute value, which represents the current fluctuation value of the electrical system within ten minutes. This part indicates that the calculated current fluctuation value is multiplied by the influence coefficient β and then added to 1, which has a positive impact on the calculation of the preliminary power P1;

[0117] when When the current fluctuation value calculated in this part approaches 0, The value of this product term is close to 1, which means that there is almost no current fluctuation in the electrical system, so it will not affect the calculation of the preliminary power P1;

[0118] This part represents the reverse effect of the proportion of energy loss caused by losses in the electrical system on the calculation of the preliminary power P1. For example, when the input power is 1000W and the output power is 900W, the loss coefficient α = (1000-900) / 1000 = 0.1, which means that 10% of the power of the electrical system cannot be effectively used due to losses. The value of this part is 0.9, which will reduce the calculated preliminary power P1.

[0119] In this embodiment:

[0120] The preliminary power algorithm unit comprehensively considers multiple influencing factors such as voltage V, load impedance Z, current fluctuation, and loss in the electrical system to calculate the preliminary power P1, which can accurately reflect the dynamic changes in power in the actual electrical system, so that the energy efficiency management of the electrical system can use this formula for real-time monitoring and adjustment. Specifically, by calculating and monitoring the preliminary power P in real time, electrical engineers can understand the actual operating status of the electrical project and discover possible waste or inefficient parts. For example, by monitoring the changes in the loss coefficient α, it is possible to discover the efficiency drop caused by equipment aging or load imbalance, and by adjusting the load impedance Z or voltage V, the power output can be optimized, thereby ensuring that multiple electrical equipment in the monitored electrical project can maintain maximum energy efficiency under different load conditions.

[0121] In electrical engineering, system loads usually change over time. Through the influence of load impedance Z and current fluctuations in the preliminary power algorithm unit, the monitoring system can track the load status in real time and adjust the load distribution according to power changes. By adjusting the load impedance Z, the electrical engineering automation monitoring system can distribute power demand to multiple devices to avoid overload or inefficiency of a single device due to excessive load. When multiple devices work in parallel, the electrical engineering automation monitoring system can obtain the preliminary power P1 based on the calculation, optimize the load distribution and scheduling, and achieve optimal energy utilization. In the preliminary power algorithm unit, the relationship between the preliminary power and parameters such as current fluctuation and loss is clearly quantified, which can provide the electrical engineering automation monitoring system with real-time electrical system overload warning signals. Before an overload occurs, protective measures (such as triggering circuit breakers, overload alarms, etc.) can be taken according to the power calculation results to prevent equipment damage, thereby improving the safety and reliability of the monitored electrical engineering.

[0122] See also Figures 1 to 2 , the effective power algorithm unit is as follows:

[0123] ;

[0124] in:

[0125] P2 represents the effective power:

[0126] P1 stands for preliminary power;

[0127] P actRepresents active power, which is the actual effective power used to do useful work in electrical engineering systems, measured by smart meters and power analyzers;

[0128] P app Represents apparent power, that is, the total power provided by the power supply in the electrical engineering system, including active power P act and reactive power, measured by smart meters;

[0129] Thd stands for total harmonic distortion, which is used to measure the degree of harmonic distortion in power systems to evaluate the distortion of current and voltage waveforms in electrical engineering systems. It is the ratio of the sum of all harmonic components in the signal to the amplitude of the fundamental wave, indicating the impact of harmonics in the system on power quality.

[0130] γ is the adjustment coefficient, which is used to adjust the influence of the total harmonic distortion rate Thd on the calculation of the effective power P2. Its value range is 0 to 1 and it can be self-adjusted in the electrical engineering automation monitoring system. Specifically:

[0131] In an electrical system where inverters are used at high frequencies, load fluctuations are large and there are multiple nonlinear loads. In this case, the harmonic distortion rate Thd is high, and the value of the adjustment coefficient γ will increase and remain between 0.6 and 1.

[0132] In a residential area with mostly linear loads, the harmonic distortion rate Thd is low, and the value of the adjustment coefficient γ will decrease and remain between 0.01 and 0.05;

[0133] In the formula calculation:

[0134] This part indicates the correction factor of harmonic distortion in the calculation of effective power P2. The total harmonic distortion rate Thd indicates the degree of distortion of the voltage or current waveform. The larger the harmonic distortion rate Thd, the more serious the waveform distortion, and the lower the effective value of the output power in the electrical engineering system. The smaller the calculated value of this part is, the lower the calculated effective power P2 will be;

[0135] This part represents the active power P in the electrical engineering system. act Used to divide the apparent power P app Then, we can get the power factor, which reflects the efficiency of power use. When the active power P act When it increases, The value of this part will increase, thereby increasing the calculated effective power P2. Its value directly has a positive impact on the calculation of the effective power P2. The closer the value of this part is to 1, the more effective the conversion of most of the transmitted electrical energy in the electrical engineering system into useful work, the higher the efficiency of the power system, and the less energy waste.

[0136] The calculation formula for total harmonic distortion Thd is as follows:

[0137] ;

[0138] in:

[0139] Thd stands for total harmonic distortion;

[0140] I1 represents the fundamental amplitude, which is the main frequency component and is measured using a harmonic analyzer;

[0141] I2,I3,I4,……,I n Represents the amplitude of the harmonic component, measured using a harmonic analyzer;

[0142] In the formula calculation:

[0143] The ratio obtained by taking the square root of the sum of the squares of all harmonic components and dividing it by the fundamental amplitude I1 is the total harmonic distortion rate Thd. In actual electrical engineering systems, the energy of the harmonic components will not exceed the energy of the fundamental wave, because the fundamental wave dominates the energy in power transmission. Especially in conventional power loads, the energy of harmonics is usually small. Therefore, the total harmonic distortion rate THD obtained by taking the square root of the sum of the squares of all harmonic components and dividing it by the fundamental amplitude I1 has a value range between 0 and 1.

[0144] In this embodiment:

[0145] The effective power algorithm unit comprehensively considers the active power P act , apparent power P app The effective power P2 in the monitored electrical engineering system is calculated based on multiple influencing factors such as the total harmonic distortion rate Thd. This can dynamically monitor the operating status of the power system. If the effective power P2 drops suddenly, it may be caused by load changes, power factor drops, or harmonic problems. This real-time monitoring can promptly detect potential problems in the monitored electrical engineering system (such as equipment failure, load imbalance, etc.) and provide early warning of system performance. Specifically, the low energy threshold of the effective power P2 is set in the database to 0.3 times the rated power (the rated power is the power measured by the When the effective power changes exceed the preset low-energy threshold, the detection system will trigger an alarm to remind maintenance personnel and operation and maintenance personnel that the equipment needs maintenance.

[0146] Another portion of energy loss in electrical engineering systems comes from low power factor and harmonic distortion. By continuously monitoring and calculating the effective power P2 of the electrical engineering system through the effective power algorithm unit, we can more accurately understand which parts of the power are wasted and thus optimize energy management. This refined energy efficiency assessment can help engineers take targeted measures (such as using reactive power compensation equipment, improving load distribution, and installing filters) to reduce energy waste and lower energy costs.

[0147] When the total harmonic distortion rate Thd increases or the power factor decreases, it indicates that there is an unbalanced load, equipment damage or other faults in the electrical engineering system. The effective power algorithm unit continuously monitors and calculates the effective power P2 of the electrical engineering system, which can timely monitor such abnormal conditions and ensure that the electrical engineering system operates in a stable and safe state with higher safety performance.

[0148] See also Figures 1 to 2 , the final output power algorithm unit is as follows:

[0149] ;

[0150] in:

[0151] P3 represents the final output power;

[0152] P2 represents effective power;

[0153] Ah represents humidity, that is, the humidity of the air in the environment where the electrical equipment is located, which is measured in real time by a humidity sensor;

[0154] At represents temperature, that is, the temperature inside the electrical engineering equipment, which is measured in real time by a temperature sensor;

[0155] δ represents the humidity adjustment factor, which ranges from 0.001 to 0.01 and can be self-adjusted in the electrical engineering automation monitoring system. Specifically:

[0156] Because high humidity environment will increase the heat loss of electrical equipment, when the monitored electrical equipment is in a high humidity environment for a long time, the value of the humidity adjustment factor δ will increase, thereby reducing the calculated system output power P3;

[0157] μ represents the temperature adjustment factor, which ranges from 0.001 to 0.01 and can be self-adjusted in the electrical engineering automation monitoring system. In the electrical engineering system, the temperature sensitivity of different equipment is also different. For example:

[0158] The motor is less affected by temperature because the effect of temperature changes on power is taken into account during motor design. Therefore, when calculating the system output power P3 of similar electrical equipment that is less affected by temperature, the temperature adjustment factor μ is reduced to reduce the effect of the temperature At inside the electrical equipment on the system output power P3.

[0159] Precision electronic devices such as semiconductors are more sensitive to temperature changes. Therefore, when calculating the system output power P3 of similar electrical equipment that is less affected by temperature, the value of the temperature adjustment factor μ will be increased to increase the impact of the temperature At inside the electrical equipment on the system output power P3.

[0160] In the formula calculation:

[0161] This part represents the influence factor of humidity Ah on the system output power P3. Humidity Ah and humidity adjustment factor δ work together to affect the calculation of system output power P3. When humidity Ah increases, This part is used as the numerator of the formula, and the calculated value is reduced, thereby reducing the calculated system output power P3;

[0162] This part represents the influence factor of temperature At on the system output power P3. The humidity Ah and the temperature adjustment factor μ work together to affect the calculation of the system output power P3. When the temperature At rises, This part is used as the denominator of the formula, and the calculated value increases, thereby reducing the calculated system output power P3, because high temperature will cause the performance of electrical equipment to degrade.

[0163] In this embodiment:

[0164] The two influencing factors, the humidity of the air in the environment where the electrical equipment is located and the temperature inside the electrical engineering equipment, are incorporated into the final output power algorithm unit to calculate the final output power P3, which can more accurately reflect the impact of temperature and humidity on the performance of the electrical equipment, and then obtain the final output power P3 of the system, which reflects the actual performance of the electrical equipment in electrical engineering and can more accurately evaluate the operating efficiency of the equipment in the actual environment. By real-time monitoring of changes in temperature and humidity, the automated monitoring system can adjust the operating status of the equipment according to the calculated final output power P3 to maximize energy efficiency. For example, if the temperature inside the electrical engineering equipment is too high, the system can automatically start the cooling equipment, or enable the dehumidification equipment when the humidity is too high to avoid energy efficiency degradation due to environmental factors, and changes in humidity and temperature will affect the service life of the electrical equipment.

[0165] By continuously monitoring and calculating the final output power P3, the automated monitoring system can promptly detect performance degradation caused by environmental factors. When the calculated final output power P3 falls below the low-energy threshold (0.3 times the rated power), the system automatically triggers an alarm to remind operation and maintenance personnel that equipment maintenance is required, thereby improving equipment reliability.

[0166] In addition, electrical engineering automation monitoring systems can use real-time data on temperature and humidity to predict the power performance of equipment in the future. For example, the system can predict future changes in temperature or humidity based on climate forecast data, and then predict the possible power output of the equipment, adjust the operating strategy in advance, and avoid the performance degradation of electrical equipment systems. This data-based decision support helps electrical equipment to operate stably over a long period of time and reduce unplanned downtime and maintenance costs, and is worthy of promotion and use.

[0167] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. An electrical engineering automation monitoring system, characterized in that: include: A data collection module is used to monitor the current per minute of electrical equipment in electrical engineering using a current probe, measure the voltage and load impedance of electrical equipment using a multimeter, measure the active power and apparent power of electrical equipment using a smart meter and a power analyzer, and upload them to a database; and is used to measure and monitor the fundamental wave amplitude and the amplitudes of multiple harmonic components of electrical equipment in electrical engineering using a harmonic analyzer, and measure the internal temperature of electrical equipment and the humidity of the air in the environment in which the electrical equipment is located using a temperature sensor and a humidity sensor, and upload them to a database; The data preprocessing module is used to decode and preprocess the data information in the database to obtain the parameters used in the calculation processing module; A calculation processing module is used to substitute the parameter values ​​obtained after decoding preprocessing into the preliminary power algorithm unit to calculate the preliminary power and rated power and upload them to the database, and input the preliminary power as an input parameter into the effective power algorithm unit to calculate the effective power and upload it to the database, and then input the preliminary power and effective power as input parameters into the final output power algorithm unit to calculate the final output power P3 of the electrical equipment after the influence of humidity and temperature; Monitoring alarm and monitoring resource allocation module, used for alarm and monitoring resource allocation when electrical equipment in electrical engineering is running at low power; The calculation processing module includes a preliminary power algorithm unit, an effective power algorithm unit and a final output power algorithm unit; The preliminary power algorithm unit is as follows: ； in: P1 stands for preliminary power: V stands for voltage, in volts; Z represents the load impedance in ohms; In represents the current at the moment of detection, in amperes; Ipm represents the current at the last detection moment, in amperes; β is the influence coefficient, which is used to adjust the influence of current fluctuation value on the calculation of preliminary power P1. Its value range is 0.1 to 5, so as to perform self-adjustment in the electrical engineering automation monitoring system. α represents the loss factor, which indicates the percentage of loss in the electrical system. It is obtained by subtracting the output power from the input power of the electrical system and then dividing it by the input power. The effective power algorithm unit is as follows: ； in: P2 represents the effective power: P1 stands for preliminary power; P act Represents active power, which is the actual effective power used to do useful work in electrical engineering systems, measured by smart meters and power analyzers; P app Represents apparent power, which is the total power provided by the power supply in the electrical engineering system, measured by a smart meter; Thd stands for total harmonic distortion, which is used to measure the degree of harmonic distortion in the power system to evaluate the distortion of current and voltage waveforms in electrical engineering systems; γ is the adjustment coefficient, which is used to adjust the influence of total harmonic distortion rate Thd on the calculation of effective power P2. Its value range is 0 to 1, so as to perform self-adjustment in the electrical engineering automation monitoring system. The final output power algorithm unit is as follows: ； in: P3 represents the final output power; P2 represents effective power; Ah represents humidity, that is, the humidity of the air in the environment where the electrical equipment is located, which is measured in real time by a humidity sensor; At represents temperature, that is, the temperature inside the electrical engineering equipment, which is measured in real time by a temperature sensor; δ represents the humidity adjustment factor, which ranges from 0.001 to 0.01, so as to perform self-adjustment in the electrical engineering automation monitoring system; μ represents the temperature adjustment factor, which ranges from 0.001 to 0.01, so as to perform self-adjustment in the electrical engineering automation monitoring system.

2. An electrical engineering automation monitoring system according to claim 1, characterized in that: The monitoring alarm and monitoring resource allocation specifically include: In the database, 0.3 times the rated power is set as the low energy threshold, and 0.6 times the rated power is set as the warning threshold; Comparing a plurality of different final output powers P3 calculated for a plurality of electrical equipment in electrical engineering with a low energy threshold and a warning threshold; For electrical equipment whose final output power P3 is higher than the warning threshold, maintain a monitoring frequency of once every ten minutes; For electrical equipment whose final output power P3 is lower than the warning threshold and higher than the low energy threshold, increase the monitoring frequency from once every ten minutes to once every minute; For electrical equipment whose final output power P3 is lower than the low-energy threshold, an alarm is triggered to remind operation and maintenance personnel that the energy efficiency of the electrical equipment is low and maintenance is required.

3. An electrical engineering automation monitoring system according to claim 2, characterized in that: The calculation formula of the total harmonic distortion rate Thd is as follows: ； in: Thd stands for total harmonic distortion; I1 represents the fundamental amplitude, which is the main frequency component and is measured using a harmonic analyzer; I2,I3,I4,……,I n Represents the amplitude of the harmonic component, measured using a harmonic analyzer; In the formula calculation: The ratio obtained by taking the square root of the sum of the squares of all harmonic components and dividing it by the fundamental amplitude I1 is the total harmonic distortion rate Thd.

4. The monitoring method of an electrical engineering automation monitoring system according to claim 1, characterized in that: The following steps are involved: The current probe in the data collection module monitors the current per minute of the electrical equipment in the electrical engineering, the multimeter measures the voltage V and load impedance Z of the electrical equipment, and then the smart meter and power analyzer meter measure the active power P of the electrical equipment. act , apparent power P app Upload to the database together; The harmonic analyzer in the data collection module measures and monitors the fundamental wave amplitude I1 and the amplitudes of multiple harmonic components of electrical equipment in the electrical engineering. The temperature sensor and humidity sensor measure the temperature inside the electrical engineering equipment and the humidity of the air in the environment where the electrical equipment is located, and upload them together to the database; The data information in the database is decoded and preprocessed by the data processing module to obtain the parameters involved in the calculation in the calculation processing module; Substitute the parameter values ​​obtained after decoding preprocessing into the preliminary power algorithm unit of the calculation processing module to calculate the preliminary power P1 and the rated power and upload them to the database; The calculated preliminary power P1 is input as an input parameter to the effective power algorithm unit of the calculation processing module to calculate the effective power P2 and upload it to the database; The calculated preliminary power P1 and effective power P2 are input as input parameters to the final output power algorithm unit of the calculation processing module to calculate the final output power P3 of the electrical equipment after being affected by humidity and temperature; Monitor alarms and monitor resource allocation through the monitoring alarm and monitoring resource allocation module: In the database, 0.3 times the rated power is set as the low energy threshold, and 0.6 times the rated power is set as the warning threshold; Comparing a plurality of different final output powers P3 calculated for a plurality of electrical equipment in electrical engineering with a low energy threshold and a warning threshold; For electrical equipment whose final output power P3 is higher than the warning threshold, maintain a monitoring frequency of once every ten minutes; For electrical equipment whose final output power P3 is lower than the warning threshold and higher than the low energy threshold, increase the monitoring frequency from once every ten minutes to once every minute; For electrical equipment whose final output power P3 is lower than the low-energy threshold, an alarm is triggered to remind operation and maintenance personnel that the energy efficiency of the electrical equipment is low and maintenance is required.

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