Industrial power device sensing method

By configuring a follower sensing terminal to monitor fundamental and harmonic voltage and current, and combining it with a fingerprint database to identify industrial loads, the problem of inaccurate identification of equipment type and energy consumption in existing technologies has been solved, realizing deep sensing and precise management of industrial electricity consumption.

CN115932429BActive Publication Date: 2026-03-24STATE GRID ZHEJIANG ELECTRIC POWER CO LTD JINHUA POWER SUPPLY CO +2
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2022-09-22
Publication Date
2026-03-24

AI Technical Summary

Technical Problem

Existing industrial electrical equipment terminals cannot accurately identify equipment type, operating status, and energy consumption, resulting in a lack of scientific basis for electricity cost allocation and an inability to achieve precise management and energy-saving efficiency.

Method used

By configuring a follower sensing terminal, the steady-state fundamental, harmonic voltage phasors and current phasors are monitored. Combined with a fingerprint database, the industrial load type is identified, and power loss is calculated. Accurate sensing is achieved by utilizing low-voltage network topology and communication connection.

Benefits of technology

It enables accurate identification of industrial equipment types, operating status, and energy consumption, improving detection reliability and supporting energy saving, efficiency improvement, and demand response.

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Abstract

The application relates to an industrial electric equipment follower sensing method, which comprises the following steps: step one, configuring a follower sensing terminal based on a low-voltage network topology, step two, identifying the type of subordinate industrial load, and step three, calculating the power loss of the load corresponding to the follower sensing terminal; the application has the advantages that: according to the monitoring results and the stored fingerprint database, the industrial equipment type is cooperatively identified, and the cooperation mainly lies in the analysis of one-time section data, for example, when an industrial load is running, the characteristic fingerprint will be monitored by all the follower sensing terminals on the connected power supply path, so that the detection reliability is improved through mutual verification among the follower sensing terminals, thereby the industrial equipment type, the industrial equipment running state and the industrial equipment energy consumption can be accurately identified, deep industrial power sensing is realized, and various energy-saving and efficiency-improving and demand-response applications are supported.
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Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of signal processing, in particular to an industrial power equipment sensor perception method. BACKGROUND

[0002] Industrial power accounts for a high proportion, and the transformer user is an important service object of the power grid company. At present, the precise management of industrial power field terminals includes special transformer collection terminals and internal power efficiency monitoring terminals in the park. At present, these terminals cannot support the precise perception of identifying industrial equipment types, industrial equipment operating states and industrial equipment energy consumption. The line loss electricity fee of the power supply link can be reasonably allocated by the terminal user, which is generally calculated according to a certain proportion of the power consumption. There is no scientific basis for the allocation, and similar problems such as industrial field power replacement equipment also need to consider the allocation of losses. SUMMARY

[0003] The purpose of the present application is to solve the technical problem that the existing terminal cannot support the precise perception of identifying industrial equipment types, industrial equipment operating states and industrial equipment energy consumption, and to propose an industrial power equipment sensor perception method, which can accurately identify industrial equipment types, industrial equipment operating states and industrial equipment energy consumption, realize deep perception of industrial power, and support various energy-saving and efficiency-improving.

[0004] In order to solve the above technical problems, the present application is realized by the following technical scheme: an industrial power equipment sensor perception method applied to an industrial park, comprising the following steps:

[0005] Step one: configure the sensor perception terminal based on the low-voltage network topology, and monitor the steady-state fundamental wave, harmonic voltage phasor, current phasor and transient voltage and current at the location;

[0006] Step two: identify the subordinate industrial load type according to the monitoring results of the sensor perception terminal and the stored fingerprint database, and the fingerprint database includes the voltage and current change characteristics when the load backend is started, stopped, or the load is raised or lowered;

[0007] Step three: calculate the power loss of the load corresponding to the sensor perception terminal according to the monitoring results of the sensor perception terminal.

[0008] Preferably, the sensor perception terminal in step one is configured according to four levels of low-voltage feeders, and the sensor perception terminals are connected in communication through RS485 or bus or local wireless communication network or remote communication network.

[0009] Preferably, if the load corresponding to the sensor perception terminal in step three is monitored by four-level low-voltage feeders, the power loss in step three is calculated by loop impedance, and the calculation formula is:

[0010]

[0011] wherein: U AE is the fundamental voltage rating of the primary low voltage feeder, U A1-k is the kth harmonic rating, Z D1-1 and Z D1-k is the loop impedance and is calculated as:

[0012]

[0013] wherein: is the kth harmonic loop impedance phasor of the primary low voltage feeder to the fourth low voltage feeder supply path;

[0014] R D1-k is the kth harmonic loop resistance of the primary low voltage feeder to the fourth low voltage feeder supply path;

[0015] X D1-k is the kth harmonic loop reactance of the primary low voltage feeder to the fourth low voltage feeder supply path;

[0016] is the kth harmonic voltage vector value at terminal tl as perceived by the primary low voltage feeder;

[0017] is the kth harmonic voltage vector value at terminal t2 as perceived by the primary low voltage feeder;

[0018] is the kth harmonic current vector value at terminal tl as perceived by the fourth low voltage feeder;

[0019] is the kth harmonic current vector value at terminal t2 as perceived by the fourth low voltage feeder;

[0020] k is the harmonic content, wherein k = 1 is the fundamental, k = 2 is the second harmonic, and k = 60 is the 3 kHz harmonic.

[0021] Preferably, the industrial load types in step two include industrial equipment power supply and industrial equipment body, the industrial equipment power supply includes industrial DC power supply, industrial pulse power supply, industrial variable frequency power supply, the industrial equipment body includes motor drag type equipment, industrial electric furnace, industrial electric welder.

[0022] In summary, the advantages of this invention are as follows: Step one involves configuring a device-specific sensing terminal based on a low-voltage network topology; Step two involves identifying the type of subordinate industrial load based on the monitoring results of the device-specific sensing terminal and a stored fingerprint database; and Step three involves calculating the power loss of the load corresponding to the device-specific sensing terminal based on the monitoring results of the device-specific sensing terminal. This method senses industrial electrical equipment because Step one uses the device-specific sensing terminal to monitor the steady-state fundamental and harmonic voltage phasors and current phasors, as well as transient voltage and current, at the location in real time; Step two involves identifying the type of subordinate industrial load based on the monitoring results of the device-specific sensing terminal and a stored fingerprint database; and the fingerprint database contains… This includes the voltage and current changes of the load when it starts, stops, or increases or decreases. Therefore, by comparing the monitoring results with the stored fingerprint database, the type of industrial equipment can be identified collaboratively. Collaboration mainly involves the analysis of data at the same time segment. For example, when an industrial load is running, its characteristic fingerprints (steady-state harmonics, etc.) will inevitably be detected by all the sensor terminals along the connected power supply path. In this way, the sensor terminals corroborate each other, improving the reliability of detection. This allows for the accurate identification of the type of industrial equipment, its operating status, and its energy consumption, achieving deep perception of industrial power consumption and supporting various energy-saving, efficiency-enhancing, and demand-response applications. Attached Figure Description

[0023] The present invention will be further described below with reference to the accompanying drawings:

[0024] Figure 1 This is a flowchart of a device sensing method for industrial electrical equipment according to the present invention;

[0025] Figure 2 This is a schematic diagram of the configuration of the device sensing terminal in this invention. Detailed Implementation

[0026] like Figure 1 , Figure 2 As shown, an industrial electrical equipment sensing method, applied in an industrial park, includes the following steps:

[0027] Step 1: Configure a follower sensing terminal based on the low-voltage network topology to monitor the steady-state fundamental voltage phasor, harmonic voltage phasor, current phasor, and transient voltage and current at the location.

[0028] The sensor terminal is configured in four levels according to the low-voltage feeder, as follows: Figure 2As shown, the sensor-aware terminal deployment points include low-voltage first-level feeder A1; low-voltage second-level feeders B1, B2, …; low-voltage third-level feeder C1; and low-voltage fourth-level feeder D1. The first-level feeder and the second-level feeder are physically close, and the sensor-aware device can communicate through RS-485 or field bus. The third-level feeder and the fourth-level feeder are physically far apart, and the communication connection is established through a local wireless communication network or a remote wireless communication network. The communication is not within the protection scope of the present patent and will not be expanded here. Different capacity electrical equipment can be connected to different levels of feeders according to different power consumption. The sensor-aware device installed in the first-level feeder and the second-level feeder in the power distribution network is considered known, and the other nodes are third-level or fourth-level sensor-aware nodes.

[0029] Step two: According to the monitoring results of the sensor-aware terminal and the stored fingerprint database, the subordinate industrial load type is identified.

[0030] The industrial load type includes industrial equipment power supply and industrial equipment body. Different power supply types have their own steady-state and transient current characteristics. The industrial equipment power supply is between the commercial power supply and the industrial equipment, and the input is mainly alternating current, and the output is direct current, alternating current (voltage or frequency adjustment), pulse. The industrial equipment power supply in the present embodiment includes industrial direct current power supply, industrial pulse power supply, and industrial frequency conversion power supply. The industrial equipment body includes motor-driven equipment, industrial electric furnace, and industrial electric welding machine. Each type of load has its own unique working electrical waveform characteristics.

[0031] Motor-driven equipment mainly refers to production mechanical equipment driven by a motor as a prime mover. The motor can be divided into a direct current motor and an alternating current motor. The direct current motor uses a direct current power supply, and the alternating current motor uses an alternating current power supply. The alternating current motor is divided into a synchronous motor and an asynchronous motor. Mechanical manufacturing and processing applications use motor-driven equipment more, and industrial motor is the main consumer of industrial energy consumption in China.

[0032] Industrial electric furnace is an industrial electrical equipment that generates heat or melts materials based on the electric heating effect. It is usually composed of a furnace body and a supporting mechanical and electrical device. It is widely used in the metallurgical industry (steel making, iron alloy making, aluminum making, etc.), mechanical industry (chemical industry, building materials industry, light industry, etc.).

[0033] Electric welding is a commonly used metal processing technology and is the most important method of metal connection. It is widely used in mechanical manufacturing, shipbuilding, automobile manufacturing, rolling stock, construction, and household appliances industries. Different metals and different production conditions require different electric welding methods, and each electric welding method requires a certain electric welding machine. The electric welding machine includes a welding power supply, a mechanical system, a control system, and other auxiliary equipment.

[0034] Different power supply types have their own steady-state and transient current characteristics. The steady-state characteristics include characteristic harmonics and non-characteristic harmonics, and the transient characteristics mainly include the voltage and current change characteristics when the load of the negative back end is started, stopped, increased or decreased. These characteristics constitute the fingerprint data of the characteristics of the industrial equipment. The fingerprint database is the compressed storage of data after field testing and characteristic analysis, which is not within the protection scope of the standard and will not be described here. The steady-state fundamental and harmonic voltage and current phasors are monitored by the sensor-aware node, and the harmonic frequency is not less than 3 kHz. Among them, the fingerprint database is the compressed storage of data after field testing and characteristic analysis, which is not within the protection scope of the standard and will not be expanded here.

[0035] Step three: Calculate the power loss of the load corresponding to the sensor-aware terminal according to the monitoring results of the sensor-aware terminal.

[0036] The sensor-aware device of the primary feeder is the master device, and the other devices are slave devices. The master device can collect voltage, current and power factor at the same time section by coordinating the slave devices. According to the communication capability, different collection times can be set, such as collecting data every 5 minutes. The three values of voltage effective value, current effective value and power factor are collected to the sensor-aware device of the primary feeder, and the loss caused by the measured power load of a certain sensor-aware device is judged. In this embodiment, D1 in Figure 2 is taken as an example for description, and the specific calculation method is as follows:

[0037] Calculate the loop impedance: select the data samples collected at the same time section of A1 and D1, including the data points of voltage effective value, current effective value and power factor, to fit and calculate the loop impedance; the calculation formula is:

[0038]

[0039] Among them: is the kth harmonic loop impedance phasor of the power supply path from the primary low-voltage feeder to the fourth low-voltage feeder;

[0040] R D1-k is the kth harmonic loop resistance of the power supply path from the primary low-voltage feeder to the fourth low-voltage feeder;

[0041] X D1-k is the kth harmonic loop reactance of the power supply path from the primary low-voltage feeder to the fourth low-voltage feeder;

[0042] is the kth harmonic voltage vector value of the sensor-aware terminal of the primary low-voltage feeder at t1;

[0043] is the kth harmonic voltage vector value of the sensor-aware terminal of the primary low-voltage feeder at t2;

[0044] is the kth harmonic current vector value of the terminal t1 of the fourth low-voltage feeder at the moment k;

[0045] is the kth harmonic current vector value of the terminal t2 of the fourth low-voltage feeder at the moment k;

[0046] k is the harmonic content, wherein k=1 is the fundamental wave, k=2 is the second harmonic, and k=60 is the 3kHz harmonic;

[0047] Then, the impedance calculated according to the above formula is used to perform D1 point load equivalent loss, and the calculation formula is as follows:

[0048]

[0049] wherein: U AE is the fundamental wave voltage rated value of the first low-voltage feeder, U A1-k is the kth harmonic rated value.

[0050] The industrial power equipment is sensed by the following method: in step one, the sensor perception terminal is configured based on the low-voltage network topology; in step two, the subordinate industrial load type is identified according to the monitoring result of the sensor perception terminal and the stored fingerprint database; and in step three, the power loss of the load corresponding to the sensor perception terminal is calculated according to the monitoring result of the sensor perception terminal. Since the sensor perception terminal in step one monitors the steady-state fundamental wave and harmonic voltage and current phasor, transient voltage and current at the location in real time, and the subordinate industrial load type is identified according to the monitoring result of the sensor perception terminal and the stored fingerprint database in step two, the fingerprint database includes the voltage and current change characteristics when the load backend is started, stopped, or the load is raised or lowered. Therefore, the industrial equipment type is identified by comparing the monitoring result with the stored fingerprint database. The identification is mainly based on the analysis of the data at one time section. For example, when an industrial load is running, the characteristic fingerprint (steady-state harmonic, etc.) will be monitored by all the sensor perception terminals on the power supply path connected thereto, so that the detection reliability is improved by mutual verification between the sensor perception terminals, thereby accurately identifying the industrial equipment type, the industrial equipment running state, and the industrial equipment energy consumption, realizing deep sensing of industrial power, and supporting various energy-saving and efficiency-increasing applications and demand response applications.

[0051] The above merely describes specific embodiments of the present application, but the technical features of the present application are not limited thereto. Any changes or modifications made by those skilled in the art within the scope of the present application are encompassed in the patent scope of the present application.

Claims

1. A method for sensing industrial electrical equipment, applied in industrial parks, characterized in that: Includes the following steps: Step 1: Configure a follower sensing terminal based on the low-voltage network topology to monitor the steady-state fundamental voltage phasor, harmonic voltage phasor, current phasor, and transient voltage and current at the location. Step 2: Identify the type of industrial load to which the subordinate unit belongs based on the monitoring results of the sensor terminal and the stored fingerprint database. The fingerprint database includes the voltage and current change characteristics of the load when it starts, stops, or when the load increases or decreases. Step 3: Calculate the power loss of the load corresponding to the sensor terminal based on the monitoring results of the sensor terminal. If the load corresponding to the sensor terminal in step three is a level four low-voltage feeder monitoring system, then the power loss in step three is calculated using the loop impedance, and the calculation formula is as follows: + ; in: This is the rated fundamental voltage of the primary low-voltage feeder. This is the rated value of the kth harmonic voltage of the primary low-voltage feeder; The fundamental loop impedance from the first-level low-voltage feeder to the fourth-level low-voltage feeder; The impedance of the kth harmonic loop from the first-level low-voltage feeder to the fourth-level low-voltage feeder; And the calculation method is as follows: ; in: The impedance phasor of the k-th harmonic loop of the power supply path from the primary low-voltage feeder to the quaternary low-voltage feeder. The resistance of the kth harmonic circuit in the power supply path from the primary low-voltage feeder to the quaternary low-voltage feeder; The reactance of the k-th harmonic circuit for the power supply path from the primary low-voltage feeder to the quaternary low-voltage feeder; For the sensor terminal of the first-level low-voltage feeder The k-th harmonic voltage vector value at time 1; For the sensor terminal of the first-level low-voltage feeder The k-th harmonic voltage vector value at time 1; For the sensor terminal of the fourth-level low-voltage feeder The vector value of the kth harmonic current at time k; For the sensor terminal of the fourth-level low-voltage feeder The vector value of the kth harmonic current at time k; Let k be the harmonic order, where k=1 is the fundamental frequency, k=2 is the second harmonic, and k=60 is the 3kHz harmonic.

2. The industrial electrical equipment sensor method according to claim 1, characterized in that: In step one, the sensor terminals are configured in four levels according to the low-voltage feeder, and the sensor terminals are connected to each other via RS485, bus, local wireless communication network, or remote communication network.

3. The industrial electrical equipment sensor method according to claim 1, characterized in that: The industrial load types in step two include industrial equipment power supplies and industrial equipment bodies. Industrial equipment power supplies include industrial DC power supplies, industrial pulse power supplies, and industrial frequency converters. Industrial equipment bodies include motor-driven equipment, industrial electric furnaces, and industrial welding machines.

Citation Information

Patent Citations

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