Intelligent load monitoring system of safety type electric energy metering box

Abstract

The invention discloses an intelligent load monitoring system of a safety type electric energy metering box, which comprises a data acquisition layer, a data transmission layer, a data intelligent processing layer and an application layer, and is characterized in that the data acquisition layer is provided with an intelligent electric meter, a high-precision sensor and an electric energy quality analysis layer, and the data transmission layer comprises a protocol conversion module, an edge conversion module and a communication module; the intelligent data processing layer comprises data access, data processing, data storage, load analysis and intelligent processing, the application layer comprises real-time monitoring, alarm, management, energy efficiency analysis and report, and the electric energy metering box carries out real-time data monitoring on all components in the metering box, collects detailed energy consumption data in each time period, and carries out real-time monitoring on all the components in the metering box. And the collected real-time data is uploaded to the terminal, and is calculated, classified and counted into a table, so that the real-time load condition of each component in the electric energy metering box can be known in time, and the service life of the electric energy metering box is greatly prolonged under the condition that the long-time safe use of the electric energy metering box is ensured.

Description

Technical Field

[0001] This invention relates to the field of electricity metering box technology, specifically to an intelligent load monitoring system for a safety-type electricity metering box. Background Technology

[0002] An electricity metering box is a complete set of equipment that installs electricity meters, related electrical accessories and wiring, and can distribute electricity to users. In layman's terms, it is the box with the electricity meter at the entrance of every household and every unit. It is the point of demarcation between the power company and the user in terms of ownership and billing.

[0003] Core functions and roles Electricity metering: The core function, using smart meters to accurately measure and record the active and reactive energy consumed by users.

[0004] Power consumption monitoring: Real-time monitoring of parameters such as voltage, current, and power to provide data for load management and fault diagnosis.

[0005] Safety protection: Built-in circuit breaker, leakage protection device, etc., automatically cut off the power supply in case of overload, short circuit, or leakage.

[0006] Data interaction: As an information node, it enables remote automatic meter reading, rate distribution, and remote power on / off via communication modules (such as 4G and NB-IoT).

[0007] Load management: Advanced metering boxes can identify unauthorized electricity use (such as the use of electric kettles in dormitories) and implement intelligent control.

[0008] Electricity metering boxes are widely used in equipment control. However, abnormal situations may occur during long-term use. It is impossible for staff to monitor the electricity metering boxes at all times. Currently, the monitoring of electricity metering boxes generally uses fire alarms and automatic leakage disconnect switches, which cannot clearly understand the real-time load of each component inside the electricity metering box. Therefore, there is an urgent need for an improved technology to solve this problem in the existing technology. Summary of the Invention

[0009] The purpose of this invention is to provide an intelligent load monitoring system for electricity metering boxes that uploads collected real-time data to a terminal, calculates, classifies, and statistically summarizes the data into tables. This system enables timely understanding of the real-time load status of various components inside the electricity metering box, and significantly improves the service life of the electricity metering box while ensuring its long-term safe use. This addresses the problems mentioned in the background art.

[0010] To achieve the above objectives, the present invention provides the following technical solution: an intelligent load monitoring system for a safe power metering box, comprising data acquisition, data transmission, intelligent data processing, and an application layer, wherein the data acquisition layer is equipped with a smart meter, a high-precision sensor, and power quality analysis; The data transmission includes protocol conversion, edge conversion, and a communication module; The intelligent data processing includes data access, processing, storage, load analysis, and intelligent processing; The application layer includes real-time monitoring, alarms, management, energy efficiency analysis, and reporting.

[0011] Preferably, the smart meter adopts a dual-channel design of current transformer and manganese copper shunt, with an internal automatic switching switch, and the smart meter uses Σ-Δ ADC; When a smart meter detects current, a precision resistor made of manganese-copper alloy with extremely low and very stable resistance is connected in series along the path through which the current flows. A sampling resistor is connected in parallel across the secondary coil to convert the induced small current into a small voltage signal; The generated small voltage signal is amplified by a programmable gain amplifier to match the input range of the ADC. At the same time, an anti-aliasing filter is used to filter out high-frequency noise. The ADC samples the conditioned analog voltage signal at an extremely high sampling rate and converts it into a series of discrete digital codes; The digital signal after ADC conversion is sent to the digital signal processor core of the metering chip for complex mathematical operations. The DSP processes the sampled values ​​of the voltage and current channels simultaneously. The DSP performs square, average, and square root calculations on a large number of instantaneous current sampled values ​​within a cycle to obtain an accurate effective current value.

[0012] Preferably, the high-precision sensor includes an electrical sensor, a current detector, and a load identification module.

[0013] Preferably, during the power quality analysis process, the voltage probe and the current transformer are correctly connected first, and the bandwidth of the current transformer must be sufficient. Real-time recording of the effective values ​​of various parameters such as voltage, current, power, and total harmonic distortion, with a recording interval of 3 seconds; When the measured parameter exceeds the set threshold, the instrument will trigger recording and save the actual waveforms for several cycles before and after the event. The massive amounts of data are cleaned, classified, and organized. The 95% probability value and maximum value of the measurements are compared with the national standard limits to determine whether they are "qualified". Analyze the phase and amplitude relationships of three-phase voltage and current to diagnose problems such as three-phase imbalance and phase loss; Analyze the changes in apparent power, active power, reactive power, and power factor to evaluate system energy efficiency.

[0014] Preferably, the communication module includes 3G, 4G, 5G, and Bluetooth communication modules.

[0015] Preferably, the protocol conversion first uses devices that adopt the Modbus RTU protocol, integrates them into the same monitoring system, and at the same time connects traditional sensors that support serial communication to a modern Internet of Things platform based on TCP / IP. The protocol converter receives a complete data frame conforming to the "Protocol #1" rule from device A. Based on the "Protocol #1" rule, it disassembles the data packet, verifies whether the data is correct, determines whether the instruction type is read or write, and extracts the core valid data. The converter repackages the translated data into a new, complete data frame according to the syntax rules of "Protocol #2", adds the correct frame header and trailer, uses the new address identifier, encodes it according to the prescribed format, and finally sends this new data packet to device B through the physical interface.

[0016] Preferably, the load analysis classifies the detected voltage, current, active power, reactive power, apparent power, power factor, and frequency data, and uses a power quality analyzer or advanced power meter to perform independent data calculation and analysis on different categories of data. Remove obviously invalid or abnormal data segments, assess equipment capacity utilization, specify the average maximum power within a time window, plot the power change curve over time, visually display the load fluctuation pattern, and analyze the daily maximum / minimum / average load and load factor. Analyze the waveforms of events such as voltage dips and short-term overcurrents to locate their root causes. By analyzing subtle changes in the total circuit current, determine the operating status of each internal electrical appliance and identify abnormal power consumption patterns. Establish mathematical models of load and key driving factors to predict future short-term or long-term electricity demand.

[0017] Preferably, during the energy efficiency analysis process, sub-meters are first installed at key nodes of the power metering box to obtain detailed data, and information such as the model, power, running time, and operating conditions of each component are recorded. Various data are statistically analyzed, classified, and then data tables are generated.

[0018] Compared with the prior art, the beneficial effects of the present invention are: This electricity metering box monitors all components inside the box in real time, collects detailed energy consumption data for each time period, and uploads the collected real-time data to the terminal for calculation, classification, and statistical analysis into tables. This allows for timely understanding of the real-time load status of each component inside the electricity metering box, greatly extending its service life while ensuring safe use over a long period of time. Attached Figure Description

[0019] exist Figure 1 This is a schematic diagram of the intelligent load monitoring system of the power metering box of the present invention; Figure 2 This is a flowchart of the power analysis process of the present invention; Figure 3 This is a schematic diagram of the protocol conversion of the present invention; Figure 4 This is a schematic diagram of the load analysis of the present invention. Detailed Implementation

[0020] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0021] Please see Figures 1-4 The present invention provides a technical solution: an intelligent load monitoring system for a safe power metering box, comprising data acquisition, data transmission, intelligent data processing, and an application layer. The data acquisition system is equipped with a smart meter, a high-precision sensor, and power quality analysis.

[0022] The data transmission includes protocol conversion, edge conversion, and a communication module; The intelligent data processing includes data access, processing, storage, load analysis, and intelligent processing; The application layer includes real-time monitoring, alarms, management, energy efficiency analysis, and reporting.

[0023] The smart meter adopts a dual-channel design of current transformer and manganese copper shunt, and has an internal automatic switching switch. The smart meter uses Σ-Δ ADC.

[0024] Σ-Δ ADCs offer high resolution (up to 16-24 bits), high linearity, and inherent anti-aliasing properties, making them ideal for measuring relatively slow-changing but precise analog signals such as current and voltage.

[0025] When a smart meter detects current, a precision resistor made of manganese copper alloy with extremely low and very stable resistance is connected in series along the path of the current. According to Ohm's law, the current will generate a small voltage drop proportional to the resistor across it.

[0026] A sampling resistor is connected in parallel across the secondary coil to convert the induced small current into a small voltage signal. This small voltage signal is then amplified by a programmable gain amplifier to match the input range of the ADC. Simultaneously, an anti-aliasing filter (a low-pass filter) is used to filter out high-frequency noise.

[0027] The ADC samples the conditioned analog voltage signal at an extremely high sampling rate (e.g., several thousand times per second) and converts it into a series of discrete digital codes. The digital signal converted by the ADC is then sent to the digital signal processor core of the metering chip for complex mathematical operations.

[0028] The DSP processes the sampled values ​​of the voltage and current channels simultaneously. The DSP performs square, average, and square root calculations on a large number of instantaneous current sampled values ​​within a cycle to obtain an accurate effective current value.

[0029] The DSP performs square, average, and square root calculations on a large number of instantaneous current samples within a cycle to obtain an accurate RMS current value. The calculation formula is: Irms = 1 / N ∑k=1 / Nik2 Irms = N1 ∑k=1 / Nik2 Where ikik is the instantaneous value of each sampling point, and N is the number of sampling points in a period.

[0030] The DSP multiplies the instantaneous voltage sample value and the instantaneous current sample value at the same moment to obtain the instantaneous power. Then, by integrating (accumulating) the instantaneous power, the consumed electrical energy can be obtained.

[0031] High-precision sensors include electrical sensors, current detectors, and load identification modules.

[0032] During power quality analysis, first correctly connect the voltage probe and the current transformer. The bandwidth of the current transformer must be sufficient. Record the effective values ​​of various parameters such as voltage, current, power, and total harmonic distortion in real time, with a recording interval of 3 seconds.

[0033] When the measured parameter exceeds the set threshold (such as when the voltage suddenly drops below 90% of the rated value), the instrument will trigger recording and save the actual waveforms for several cycles before and after the event. This is the most valuable data for diagnosing transient problems.

[0034] The system cleans, classifies, and organizes massive amounts of data, compares the measured 95% probability values ​​and maximum values ​​with national standard limits to determine whether they are "qualified," analyzes the phase and amplitude relationships of three-phase voltage and current to diagnose problems such as three-phase imbalance and phase loss, analyzes changes in apparent power, active power, reactive power, and power factor, and evaluates system energy efficiency.

[0035] The electricity metering box is equipped with a communication module, including 3G, 4G, 5G and Bluetooth communication modules. The real-time data detected by the communication module is uploaded to the control terminal in real time through any means.

[0036] The data transmission protocol conversion initially adopted Modbus RTU protocol for some devices, and new production lines also support PROFINET. These were integrated into the same monitoring system. At the same time, traditional sensors that support serial communication (such as RS-485) were connected to a modern Internet of Things platform based on TCP / IP.

[0037] The protocol converter receives a complete data frame conforming to the "Protocol #1" rule from device A. Based on the "Protocol #1" rule, it disassembles the data packet, verifies whether the data is correct, determines whether the instruction type is read or write, and extracts the core valid data.

[0038] The converter repackages the translated data into a new, complete data frame according to the syntax rules of "Protocol #2", adds the correct frame header and trailer, uses the new address identifier, encodes it according to the prescribed format, and finally sends this new data packet to device B through a physical interface (such as an Ethernet port).

[0039] Load analysis categorizes the detected voltage, current, active power, reactive power, apparent power, power factor, and frequency data, and uses a power quality analyzer or advanced power meter to perform independent data calculations and analyses on different categories of data.

[0040] Remove obviously invalid or abnormal data segments, assess equipment capacity utilization, specify the average maximum power within a time window, plot the power change curve over time, visually display the load fluctuation pattern, and analyze the daily maximum / minimum / average load and load factor.

[0041] By analyzing the waveforms of events such as voltage dips and short-term overcurrents, the root cause can be located. By analyzing subtle changes in the total circuit current, the operating status of each internal electrical appliance can be determined, and abnormal power consumption patterns can be identified.

[0042] A mathematical model of load and main driving factors is established to predict future short-term or long-term electricity demand. In the energy efficiency analysis process, sub-meters are first installed at key nodes of the electricity metering box to obtain detailed data, and information such as the model, power, running time, and operating conditions of each component is recorded. Finally, the various data are statistically analyzed, classified, and a data table is generated.

[0043] This electricity metering box monitors all components inside the box in real time, collects detailed energy consumption data for each time period, and uploads the collected real-time data to the terminal for calculation, classification, and statistical analysis into tables. This allows for timely understanding of the real-time load status of each component inside the electricity metering box, greatly extending its service life while ensuring safe use over a long period of time.

[0044] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. An intelligent load monitoring system of a safety type electric energy metering box, comprising data acquisition, data transmission, data intelligent processing, and an application layer, characterized in that: The data collection is provided with intelligent electric meter, high-precision sensor and electric energy quality analysis; The data transmission includes protocol conversion, edge conversion and communication module; The data intelligent processing includes data access, processing, storage, load analysis and intelligent processing; The application layer includes real-time monitoring, alarm, management, energy efficiency analysis and report.

2. The intelligent load monitoring system of a safety type electric energy metering box according to claim 1, characterized in that: The intelligent electric meter adopts double-channel design of current transformer and manganese-copper shunt, and is internally provided with automatic switching switch. The intelligent electric meter adopts Σ-Δ ADC; When the intelligent electric meter detects current, a precision resistor made of manganese-copper alloy with extremely low resistance and very stable is connected in series on the path through which the current flows; A sampling resistor is connected in parallel at both ends of the secondary coil to convert the induced small current into a small voltage signal; The generated small voltage signal is amplified through a programmable gain amplifier to match the input range of the ADC, and an anti-aliasing filter is used to filter out high-frequency noise; The ADC samples the conditioned analog voltage signal at a very high sampling rate and converts it into a series of discrete digital codes; The digital signal converted by the ADC is sent to the digital signal processor core of the metering chip for complex mathematical operations; The DSP synchronously processes the sampling values of the voltage channel and the current channel. The DSP squares, averages and takes the square root of a large number of instantaneous current sampling values in a period to obtain the accurate current effective value.

3. The intelligent load monitoring system of a safety type electric energy metering box according to claim 1, characterized in that: The high-precision sensor includes electrical sensor, current detector and load identification module.

4. The intelligent load monitoring system of a safety type electric energy metering box according to claim 1, characterized in that: In the electric energy quality analysis process, the voltage probe and the current transformer are correctly connected, and the bandwidth of the current transformer must be sufficient; The effective values of various parameters such as voltage, current, power and total harmonic distortion rate are recorded in real time with a recording interval of 3 seconds; When the measured parameters exceed the set threshold, the instrument will trigger recording and save the actual waveform of several cycles before and after the event occurs; Massive data is cleaned, classified and sorted. The 95% probability value, maximum value and national standard limit value of the measurement are compared to determine whether it is "qualified"; The phase and amplitude relationship of three-phase voltage and current is analyzed to diagnose three-phase imbalance and phase loss; The changes of apparent power, active power, reactive power and power factor are analyzed to evaluate the system energy efficiency.

5. The intelligent load monitoring system of a safety type electric energy metering box according to claim 1, characterized in that: The communication module includes 3G, 4G, 5G and Bluetooth communication module.

6. The intelligent load monitoring system of a safety type electric energy metering box according to claim 1, characterized in that: The protocol conversion first adopts Modbus RTU protocol devices to integrate them into the same monitoring system. At the same time, traditional sensors supporting serial communication are connected to modern Internet of Things platforms based on TCP / IP; The protocol converter receives a complete data frame from device A that meets the rules of "Protocol #1". It disassembles the data packet according to the rules of "Protocol #1", checks the correctness of the data, judges whether the instruction type is read or write, and extracts the core valid data; The converter re-packs the translated data into a new complete data frame according to the syntax rules of "Protocol #2", adds the correct frame header and frame tail, uses a new address identifier, encodes according to the specified format, and finally sends the new data packet to device B through the physical interface.

7. The intelligent load monitoring system of a safety type electric energy metering box according to claim 1, characterized in that: The load analysis classifies the detected voltage, current, active power, reactive power, apparent power, power factor, frequency data, and independently calculates and analyzes different categories of data using power quality analyzers or advanced power meters; It eliminates obviously invalid or abnormal data segments, evaluates the capacity utilization of the equipment, specifies the average power maximum in the time window, draws the power-time curve, visually displays the load fluctuation law, and analyzes the daily maximum / minimum / average load and load rate; It analyzes the waveforms of voltage sag, short-time overcurrent and other events, locates their sources, discriminates the running states of internal appliances by analyzing the subtle changes of the total circuit current, and identifies abnormal power consumption patterns; It establishes a mathematical model of load and main driving factors to predict future short-term or long-term power demand.

8. The intelligent load monitoring system of a safety type electric energy metering box according to claim 1, characterized in that: In the energy efficiency analysis process, install sub-metering meters at key nodes of the electric energy metering box to obtain detailed data, and record the model, power, running time, working condition, etc. Various data are statistically classified and data tables are generated.

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