Digital modularization-based low-carbon energy-saving management method and system for auxiliary power supply

Through a digital modular low-carbon energy-saving management system for plant electricity, the energy loss of power equipment is identified and repaired through on-site survey and data analysis, combined with environmental and electrical parameters, and real-time monitoring of power consumption indicators, the high energy consumption of thermal power plants is solved by solving the high energy consumption of thermal power plants through on-site survey and data analysis. and the problem of high carbon emissions have achieved the reduction of energy consumption of electricity equipment and the achievement of environmental protection goals.

CN119130495APending Publication Date: 2024-12-13CPI HENAN POWER LTD CO
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Patent Information

Application Number
CN202411305848.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-09-19
Publication Date
2024-12-13

AI Technical Summary

Technical Problem

Thermal power plants face challenges in energy consumption management, resulting in high plant power consumption rates, affecting the sustainable development and environmental protection goals of the power industry.

Method used

Adopt a low-carbon energy-saving management method and system for factory electricity based on digital modularity. Through on-site survey, data collection and analysis, the line loss and change loss of the electricity used are identified, and the equipment is repaired. The equipment is combined with environmental and electrical parameters to monitor the electricity used in real time. Indicators and power quality, generate reports to guide management and repairs.

Benefits of technology

It has achieved the reduction of energy consumption of electricity equipment and carbon emissions, improved power generation efficiency, provided real-time and accurate data to support the energy-saving and environmental protection goals of power plants, and optimized power consumption management.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention discloses a digital modularization-based low-carbon energy-saving management method and a digital modularization-based low-carbon energy-saving management system for plant power utilization, and the method comprises the steps: carrying out the on-site survey of power plant power utilization equipment, carrying out the restoration of an energy loss link, and storing the line loss and transformation loss data of the restored power utilization equipment; collecting power consumption data of each power consumption device of the power plant over the years and historical data of environment and electrical parameters, coupling line loss and transformation loss data of the repaired power consumption device into the power consumption data of each power consumption device of the power plant over the years, and uploading the data to a data management platform; ammeter data, environment and electrical parameters of each electric device of a power plant are acquired in real time through an acquisition terminal and are uploaded to a data management platform; the data management platform analyzes the electricity consumption abnormity and the electric energy quality of each electric device in a preset time, and the comprehensive display end displays data according to the received information and makes a report. The method can help a power plant to improve power generation efficiency and reduce energy consumption and carbon emission.
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Description

Technical Field

[0001] The present invention relates to the technical field of power equipment detection, and in particular to a low-carbon energy-saving management method and system for power consumption in factories based on digital modularization. Background Art

[0002] The power industry is a key industry in my country. As the main production mode of traditional energy, thermal power plants face major challenges such as high energy consumption and environmental pollution while providing stable energy. Therefore, continuous improvement of production technology has become an important way to ease the pressure of emission reduction and achieve sustainable development of the power industry. During the start-up, operation, decommissioning and maintenance of the generator, a large number of motor-driven mechanical equipment ensure the normal operation of the main equipment and auxiliary equipment of the unit (such as coal transportation, coal crushing, ash removal, dust removal and water treatment, etc.). These motors and the power equipment for operation, operation, testing, maintenance and lighting of the whole plant are collectively referred to as plant power load. The percentage of power consumption of plant power in the total power generation of the power plant is called the plant power rate, which is one of the important economic indicators of power plant operation. Statistical data show that the average plant power rate of thermal power plants is about 7%, of which the power consumption of pumps and fans accounts for more than half of the plant power. Therefore, reducing the plant power rate can not only reduce the cost of electricity, but also improve the power supply capacity of the system, which has significant economic value and social significance.

[0003] However, according to the SIS system data in a power plant, the power consumption rate of a power generation branch has been maintained at a high level of about 10% for a long time, which shows that the power plant faces challenges in energy consumption management. Therefore, effective measures are urgently needed to optimize it. By building a low-carbon energy-saving management system for power plant consumption, it can help power plants improve power generation efficiency, reduce energy consumption and carbon emissions, help power plants transform and upgrade, and create an efficient, clean, energy-saving and environmentally friendly comprehensive energy enterprise. Summary of the invention

[0004] The technical problem to be solved by the present invention is to provide a low-carbon energy-saving management method and system for plant electricity based on digital modularization in view of the above-mentioned existing deficiencies.

[0005] In order to achieve the above technical objectives, the technical solution adopted by the present invention is:

[0006] A low-carbon energy-saving management method for power supply in a factory based on digital modularization comprises the following steps:

[0007] Step 1: Conduct on-site survey of the power plant's electrical equipment, measure the line loss and transformer loss data of the electrical equipment, determine the energy loss link, repair the energy loss link, and save the line loss and transformer loss data of the repaired electrical equipment;

[0008] Step 2: Collect the historical data of power consumption, environment and electrical parameters of each power-consuming equipment in the power plant over the years, couple the line loss and transformer loss data of the repaired power-consuming equipment into the power consumption data of each power-consuming equipment in the power plant over the years, and then upload the historical data of power consumption, environment and electrical parameters of each power-consuming equipment after coupling to the data management platform;

[0009] Step 3: Collect the meter data, environment and electrical parameters of each power-consuming equipment in the power plant in real time through the collection terminal and upload them to the data management platform;

[0010] Step 4: The data management platform monitors the power consumption index of the power plant through the real-time collected meter data, environment and electrical parameters of each power-consuming device, and analyzes the power consumption anomaly and power quality of each power-consuming device within the predetermined time, determines the fault type of the power-consuming device within the predetermined time, and sends the power consumption index, power consumption anomaly and power quality analysis results to the comprehensive display terminal;

[0011] Step 5: The comprehensive display terminal displays data and creates reports based on the information received.

[0012] To optimize the above technical solutions, the specific measures taken also include:

[0013] In step one, the line loss data of the electrical equipment is the loss data caused by resistance and magnetic field during the transmission of current. The line loss data of the electrical equipment is obtained by analyzing the active and reactive power data of the power supply point and the receiving point of the electrical equipment, estimating the difference in power between the power supply point and the receiving point, and calculating. If the line loss data exceeds the loss threshold, the power supply line between the power supply point and the receiving point of the electrical equipment is checked, and the power supply line is repaired or replaced to maintain the line loss data of the electrical equipment within a predetermined range.

[0014] In step one, the transformer loss data of the electrical equipment is the energy loss data caused by the internal loss of the transformer. The transformer loss rate information is calculated by collecting the electric energy difference between the input and output ends of the transformer, and the transformer loss rate information is compared with the rated loss rate of the transformer. If the loss threshold is exceeded, the transformer is repaired or replaced to maintain the transformer loss rate within a predetermined range.

[0015] In step 2, the method for coupling the line loss and transformer loss data of the repaired electrical equipment into the power consumption data of each electrical equipment in the power plant over the years is: calculate the difference between the line loss and transformer loss data of the electrical equipment before and after the repair, and then subtract the line loss and transformer loss data difference from the power consumption data of each electrical equipment in the power plant over the years, so as to obtain the power consumption data of each electrical equipment in the power plant over the years after coupling.

[0016] In step three, the collection terminal includes a smart meter, a sensor, a gateway and a data collector. The smart meter is used to monitor power consumption in real time, the sensor is used to collect environmental and electrical parameters, and the gateway and the data collector are used to integrate and transmit this information.

[0017] In step 4, the power consumption indicators of the power plant include the meter bottom, voltage and current, active and reactive power, phase angle, power factor, demand, peak and valley level, power consumption and load curve value indicators of the power equipment.

[0018] The specific method for the data management platform to analyze the abnormal power consumption of each power-consuming equipment within a predetermined time is as follows: the data management platform compares and analyzes the power consumption of the power-consuming equipment with the power consumption data of each power-consuming equipment in the coupled power plant over the years. If the power consumption of the power-consuming equipment is higher than the power consumption data of each power-consuming equipment in the coupled power plant over the years, the environmental data is combined to analyze the impact of the environment on the power consumption of the power-consuming equipment. The parameters of the impact of the environment on the power consumption of the power-consuming equipment have been pre-stored in the data management platform. In combination with the environmental impact, if the power consumption of the power-consuming equipment is higher than the power consumption data of each power-consuming equipment in the coupled power plant over the years, the power consumption of the power-consuming equipment is recorded and sent to the comprehensive display terminal; the data management platform also finds out the power tolerance, electric energy tolerance and load overcapacity of the power-consuming equipment based on the power consumption of the power-consuming equipment and the electrical parameters of the power-consuming equipment. According to the fluctuations of power tolerance, electric energy tolerance and load overcapacity, the data management platform identifies the events of power tolerance, electric energy tolerance and load overcapacity exceeding the set range, generates corresponding alarm information, and broadcasts it externally.

[0019] The specific method for the data management platform to analyze the power quality of each electrical equipment within the predetermined time is as follows: the frequent start and stop and power fluctuations of intermittent and fluctuating electrical equipment lead to voltage over-limit and power factor over-limit. The data management platform classifies by voltage level, counts the voltage qualification rate and voltage imbalance of electrical equipment, and determines the voltage over-limit state. The data management platform sets the power factor level segmented constant according to the load characteristics of the power plant, determines the power factor over-limit state of the electrical equipment, records the voltage over-limit state and power factor over-limit state of the electrical equipment, and sends them to the comprehensive display terminal; for events where the voltage over-limit state and the power factor over-limit state exceed the set range, the corresponding alarm information is generated and broadcast externally.

[0020] In step five, the reports produced by the comprehensive display terminal include daily reports on equipment operating conditions and daily / monthly / yearly reports on electrical balance. The data sources include real-time data, indicator calculation data, and manually reported data.

[0021] A low-carbon energy-saving management system for power plant consumption based on digital modularization comprises a collection terminal, a data management platform and a comprehensive display terminal connected in sequence. The collection terminal is installed at each power-consuming equipment in a power plant to collect meter data, environmental and electrical parameters of each power-consuming equipment, and aggregate the collected data to the data management platform. The data management platform is used to receive meter data, environmental and electrical parameters of each power-consuming equipment to monitor the power consumption index of the power plant, and analyze the power consumption anomaly and power quality of each power-consuming equipment within a predetermined time. The comprehensive display terminal is used to display data and prepare reports based on the received information.

[0022] The present invention has the following advantages:

[0023] 1. The present invention is composed of multiple core functional modules, including a collection terminal, a data management platform and a comprehensive display terminal, which can realize online power consumption anomaly analysis, power quality analysis, report management and indicator management. The present invention can transmit information in real time through information flow to ensure the timeliness and accuracy of data. Under the guidance of the principle of combining economy and low carbon, the system formulates efficient management and control strategies through intelligent algorithms and model analysis.

[0024] 2. Before monitoring electricity consumption, the present invention first conducts on-site surveys on the power plant's electrical equipment and repairs line losses and transformer losses, so that historical data can be used as a control group that accurately expresses low energy consumption and low carbon emissions. Then, the power consumption of the electrical equipment is obtained through real-time collection of meter data, environmental and electrical parameters of each electrical equipment in the power plant. By comparing the power consumption of the electrical equipment with the control group, the power consumption anomalies and power quality analysis results of the electrical equipment can be obtained. The analysis results can be used to guide staff to inspect or repair relevant electrical equipment, reduce energy consumption of electrical equipment, and achieve low carbon emissions.

[0025] 3. The present invention also collects environmental data near the electrical equipment. Since environmental factors such as temperature and humidity can affect the working state of the electrical equipment, when the electrical equipment has abnormal power consumption, the environmental factors need to be considered. The present invention has pre-stored the parameters of the impact of the environment on the power consumption of the electrical equipment in the data management platform. Therefore, when calculating the abnormal power consumption, the environmental factors have been taken into consideration, making the conclusion of the present invention on the abnormal power consumption of the electrical equipment more accurate. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 It is a schematic diagram of the structure of the present invention;

[0027] Figure 2 It is a flow chart of the method of the present invention. DETAILED DESCRIPTION

[0028] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application is described and illustrated below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not intended to limit the present application. Based on the embodiments provided in the present application, all other embodiments obtained by ordinary technicians in the field without making creative work are within the scope of protection of the present application.

[0029] Obviously, the drawings described below are only some examples or embodiments of the present application. For ordinary technicians in this field, the present application can also be applied to other similar scenarios based on these drawings without creative work. In addition, it can also be understood that although the efforts made in this development process may be complicated and lengthy, for ordinary technicians in this field related to the content disclosed in this application, some changes in design, manufacturing or production based on the technical content disclosed in this application are just conventional technical means, and should not be understood as insufficient content disclosed in this application.

[0030] Reference to "embodiments" in this application means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those of ordinary skill in the art that the embodiments described in this application may be combined with other embodiments without conflict.

[0031] Unless otherwise defined, the technical terms or scientific terms involved in this application should be understood by people with ordinary skills in the technical field to which this application belongs. The words "one", "a", "a", "the" and the like involved in this application do not indicate a quantitative limitation, and may represent the singular or plural. The terms "include", "comprise", "have" and any of their variations involved in this application are intended to cover non-exclusive inclusions; for example, a process, method, system, product or device that includes a series of steps or units (units) is not limited to the listed steps or units, but may also include steps or units that are not listed, or may also include other steps or units inherent to these processes, methods, products or devices. The words "connect", "connected", "coupled" and the like involved in this application are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. The "multiple" / "several" involved in this application refers to two or more. "And / or" describes the association relationship of associated objects, indicating that there can be three relationships, for example, "A and / or B" can mean: A exists alone, A and B exist at the same time, and B exists alone. The character " / " generally indicates that the objects before and after are in an "or" relationship. The terms "first", "second", "third", etc. involved in this application are only used to distinguish similar objects and do not represent a specific ordering of the objects.

[0032] like Figure 1 As shown, the present invention is a low-carbon energy-saving management device for power supply based on digital modularization, and its main structure includes:

[0033] Bottom-level electricity meters: Smart meters and sensors are installed, and data from electricity meters, environment, and electrical parameters of each electricity-consuming device are collected through collectors. The collected data is finally aggregated to the data center and data management platform through the cluster master control.

[0034] Communication channel: It includes two parts: First, the communication channel between the energy meter and the data acquisition terminal. It is recommended to use optical fiber or RS485 communication to ensure the stability and anti-interference ability of data transmission. Secondly, the communication channel between the data acquisition terminal and the cluster master control is also recommended to use optical fiber communication for data transmission. This method can achieve high-speed and long-distance data transmission, ensuring the reliable operation of the system in complex environments.

[0035] Data center: includes real-time database and relational database, supports secondary calculation of production real-time data, and is used to store production real-time data, calculation data and system management data.

[0036] Data is aggregated to the data management platform: through online power balance monitoring, plant power abnormality analysis, online power quality analysis and other main functions, a plant power energy-saving management system with the preliminary structure and functions of a low-carbon energy-saving management system is formed, providing effective on-site control and decision-making support for power plant energy management.

[0037] Comprehensive display terminal: supports display on PC, mobile and large screen. The reports of the comprehensive display terminal mainly include daily reports on equipment operation conditions and daily / monthly / yearly reports on power balance. The data sources include real-time data, index calculation data and manually reported data. The report function is designed to meet the energy-saving management needs of thermal power plants, mainly including:

[0038] Customized templates: Customize daily reports, class reports, monthly reports, annual reports and various statistical information reports based on Excel usage habits.

[0039] Automatic generation: The system supports automatic report generation to simplify the data aggregation process.

[0040] WEB publishing: Convenient online report publishing function for easy user access.

[0041] Query and download: Supports report query and download, facilitating data acquisition and archiving.

[0042] Printing function: Provides report printing options for easy paper recording and sharing.

[0043] In addition, the report supports formula calculation function. Users can enter formulas in the report to automatically calculate the results. At the same time, the system allows the insertion of bar graphs, line graphs, pie charts and other graphics to intuitively display data and facilitate comparative analysis. By configuring report templates, users can efficiently collect and summarize plant power consumption and real-time operating data.

[0044] The low-carbon energy-saving management method for power plant consumption based on digital modularization of the present invention is as follows: Figure 2 As shown, the following steps are included:

[0045] Step 1: Conduct on-site survey of the power plant's electrical equipment, measure the line loss and transformer loss data of the electrical equipment, determine the energy loss link, repair the energy loss link, and save the line loss and transformer loss data of the repaired electrical equipment;

[0046] Line loss refers to the loss of current caused by resistance and magnetic field during the transmission process, which affects the stability and quality of power supply. By analyzing the active and reactive power data of the power supply point and the receiving point of the power consumption equipment, the difference in power supply point and receiving point is estimated, and the line loss data of the power consumption equipment is calculated. If the line loss data exceeds the loss threshold, the power supply line between the power supply point and the receiving point of the power consumption equipment is checked, repaired or replaced, and the line loss data of the power consumption equipment is maintained within the predetermined range.

[0047] Transformer loss is energy loss caused by internal loss of equipment such as transformers. By collecting the difference in electric energy between the input and output ends of the transformer, the transformer loss rate information is calculated and generated, and the transformer loss rate information is compared with the rated transformer loss rate. If the loss threshold is exceeded, the transformer is repaired or replaced to keep the transformer loss rate within the predetermined range.

[0048] Through in-depth analysis of line loss and transformer loss, the main links of energy loss can be identified, so that targeted measures can be taken to reduce losses and improve overall energy efficiency. At the same time, by reducing energy losses and carbon emissions, the realization of environmental protection and sustainable development goals can be promoted.

[0049] Step 2: Collect the historical data of electricity consumption data, environment and electrical parameters of each power-consuming equipment in the power plant over the years, calculate the difference between the line loss and transformer loss data of the power equipment before and after the repair, and then subtract the difference between the line loss and transformer loss data from the electricity consumption data of each power equipment in the power plant over the years to obtain the electricity consumption data of each power equipment in the power plant over the years after coupling, and then upload the historical data of electricity consumption data, environment and electrical parameters of each power equipment over the years after coupling to the data management platform;

[0050] Step 3: Collect the meter data, environment and electrical parameters of each power-consuming equipment in the power plant in real time through the collection terminal and upload them to the data management platform;

[0051] Step 4: The data management platform monitors the power consumption index of the power plant through the real-time collected meter data, environment and electrical parameters of each power-consuming device, and analyzes the power consumption anomaly and power quality of each power-consuming device within the predetermined time, determines the fault type of the power-consuming device within the predetermined time, and sends the power consumption index, power consumption anomaly and power quality analysis results to the comprehensive display terminal;

[0052] The specific analysis of abnormal electricity consumption is as follows: combined with the factory electricity consumption indicator system, the system will conduct in-depth historical data comparison and analysis of metering abnormalities and abnormal electricity consumption data, and promptly discover and record various abnormal electricity consumption situations, including power tolerance, electric energy tolerance and load overcapacity.

[0053] In terms of load data, the system monitors and records various load information in real time, analyzes its fluctuations, identifies events where the load exceeds the set range, and generates corresponding alarm information. Comprehensive analysis of power data helps identify abnormal power consumption patterns, monitor sudden changes in power, and promptly detect events where power exceeds the standard.

[0054] The combined analysis of operating data and environmental data enables the system to deeply explore the relationship between the operating status of the equipment and power consumption, record the impact of operating condition changes on power consumption, and thus help identify potential abnormal causes. In addition, the system will also record and analyze abnormal events of the equipment, including failures, shutdowns and other situations that affect power consumption, and provide a historical record of equipment operation to trace the causes of abnormalities.

[0055] Power quality analysis is as follows: In the power system, intermittent and fluctuating power sources and frequent start and stop of power-consuming equipment and power fluctuations may lead to power quality problems. At the same time, the widespread application of power electronic devices in voltage and frequency regulation makes the demand-side system face many power quality risks. Power quality analysis realizes the classification and statistical analysis of power quality data such as voltage, current, power factor and harmonics at the monitoring point, such as over-limit and qualified rate.

[0056] Voltage over-limit: According to the voltage level classification, the voltage qualification rate, voltage imbalance and other data of the monitoring points are counted;

[0057] Power factor over-limit: According to the load characteristics of the power plant, set the power factor level segmented fixed value and analyze the power factor;

[0058] Harmonic analysis: set harmonic limits for voltage and current, and analyze monitoring points.

[0059] Step 5: The comprehensive display terminal displays data and creates reports based on the information received.

[0060] Compared with the prior art, the present invention has the following characteristics:

[0061] Online power balance monitoring: Real-time display of the active power transmission, transfer and distribution of the generator sets, providing a comprehensive view of power usage and clearly showing the balance of plant power consumption.

[0062] Multi-dimensional abnormality analysis: Combined with environmental factors and different power generation conditions, multi-dimensional plant power abnormality analysis is carried out to help users discover and solve problems in a timely manner.

[0063] Power quality analysis: Conduct a systematic analysis of power quality to provide data support for enterprises to optimize power usage.

[0064] Identification of energy-saving potential: Analyze the energy-saving potential of factory electricity and identify the key optimization directions to reduce factory electricity loss and achieve low-carbon goals.

[0065] The above are only preferred embodiments of the present invention, and the protection scope of the present invention is not limited to the above embodiments. All technical solutions under the concept of the present invention belong to the protection scope of the present invention. It should be pointed out that for ordinary technicians in this technical field, some improvements and modifications without departing from the principle of the present invention should be regarded as the protection scope of the present invention.

Claims

1. A low-carbon energy-saving management method for power supply in factories based on digital modularization, characterized by: The following steps are involved: Step 1: Conduct on-site survey of the power plant's electrical equipment, measure the line loss and transformer loss data of the electrical equipment, determine the energy loss link, repair the energy loss link, and save the line loss and transformer loss data of the repaired electrical equipment; Step 2: Collect the historical data of power consumption, environment and electrical parameters of each power-consuming equipment in the power plant over the years, couple the line loss and transformer loss data of the repaired power-consuming equipment into the power consumption data of each power-consuming equipment in the power plant over the years, and then upload the historical data of power consumption, environment and electrical parameters of each power-consuming equipment after coupling to the data management platform; Step 3: Collect the meter data, environment and electrical parameters of each power-consuming equipment in the power plant in real time through the collection terminal and upload them to the data management platform; Step 4: The data management platform monitors the power consumption index of the power plant through the real-time collected meter data, environment and electrical parameters of each power-consuming device, and analyzes the power consumption anomaly and power quality of each power-consuming device within the predetermined time, determines the fault type of the power-consuming device within the predetermined time, and sends the power consumption index, power consumption anomaly and power quality analysis results to the comprehensive display terminal; Step 5: The comprehensive display terminal displays data and creates reports based on the information received.

2. According to claim 1, a low-carbon energy-saving management method for power supply based on digital modularization is characterized by: In step one, the line loss data of the electrical equipment is the loss data caused by resistance and magnetic field during the transmission of current. The line loss data of the electrical equipment is obtained by analyzing the active and reactive power data of the power supply point and the receiving point of the electrical equipment, estimating the difference in power between the power supply point and the receiving point, and calculating. If the line loss data exceeds the loss threshold, the power supply line between the power supply point and the receiving point of the electrical equipment is checked, and the power supply line is repaired or replaced to maintain the line loss data of the electrical equipment within a predetermined range.

3. According to the digital modular low-carbon energy-saving management method for power supply in factories according to claim 1, it is characterized by: In step one, the transformer loss data of the electrical equipment is the energy loss data caused by the internal loss of the transformer. The transformer loss rate information is calculated by collecting the electric energy difference between the input and output ends of the transformer, and the transformer loss rate information is compared with the rated loss rate of the transformer. If the loss threshold is exceeded, the transformer is repaired or replaced to maintain the transformer loss rate within a predetermined range.

4. According to claim 1, a low-carbon energy-saving management method for power supply based on digital modularization is characterized by: In step 2, the method for coupling the line loss and transformer loss data of the repaired electrical equipment into the power consumption data of each electrical equipment in the power plant over the years is: calculate the difference between the line loss and transformer loss data of the electrical equipment before and after the repair, and then subtract the line loss and transformer loss data difference from the power consumption data of each electrical equipment in the power plant over the years, so as to obtain the power consumption data of each electrical equipment in the power plant over the years after coupling.

5. According to claim 1, a low-carbon energy-saving management method for power supply based on digital modularization is characterized by: In step three, the collection terminal includes a smart meter, a sensor, a gateway and a data collector. The smart meter is used to monitor power consumption in real time, the sensor is used to collect environmental and electrical parameters, and the gateway and the data collector are used to integrate and transmit this information.

6. According to claim 1, a method for low-carbon energy-saving management of power supply in an industrial plant based on digital modularization is characterized by: In step 4, the power consumption indicators of the power plant include the meter bottom, voltage and current, active and reactive power, phase angle, power factor, demand, peak and valley level, power consumption and load curve value indicators of the power equipment.

7. According to claim 1, a method for low-carbon energy-saving management of power supply in an industrial plant based on digital modularization is characterized by: The specific method for the data management platform to analyze the abnormal power consumption of each power-consuming equipment within a predetermined time is as follows: the data management platform compares and analyzes the power consumption of the power-consuming equipment with the power consumption data of each power-consuming equipment in the coupled power plant over the years. If the power consumption of the power-consuming equipment is higher than the power consumption data of each power-consuming equipment in the coupled power plant over the years, the impact of the environment on the power consumption of the power-consuming equipment is analyzed in combination with the environmental data. The parameters of the impact of the environment on the power consumption of the power-consuming equipment have been pre-stored in the data management platform. In combination with the environmental impact, if the power consumption of the power-consuming equipment is higher than the power consumption data of each power-consuming equipment in the coupled power plant over the years, the power consumption of the power-consuming equipment is recorded and sent to the comprehensive display terminal; The data management platform also detects power excess, electric energy excess and load overcapacity of electrical equipment based on the power consumption of the electrical equipment and the electrical parameters of the electrical equipment. According to the fluctuations of power excess, electric energy excess and load overcapacity, it identifies events of power excess, electric energy excess and load overcapacity that exceed the set range, generates corresponding alarm information and broadcasts it externally.

8. The method for low-carbon energy-saving management of power supply in an industrial plant based on digital modularization according to claim 7 is characterized in that: The specific method for the data management platform to analyze the power quality of each electrical equipment within the predetermined time is as follows: the frequent start and stop and power fluctuations of intermittent and fluctuating electrical equipment lead to voltage over-limit and power factor over-limit. The data management platform classifies by voltage level, counts the voltage qualification rate and voltage imbalance of electrical equipment, and determines the voltage over-limit state. The data management platform sets the power factor level segmented constant according to the load characteristics of the power plant, determines the power factor over-limit state of the electrical equipment, records the voltage over-limit state and power factor over-limit state of the electrical equipment, and sends them to the comprehensive display terminal; for events where the voltage over-limit state and the power factor over-limit state exceed the set range, the corresponding alarm information is generated and broadcast externally.

9. The low-carbon energy-saving management method for power supply in an industrial plant based on digital modularization according to claim 1 is characterized by: In step five, the reports produced by the comprehensive display terminal include daily reports on equipment operating conditions and daily / monthly / yearly reports on electrical balance. The data sources include real-time data, indicator calculation data, and manually reported data.

10. A low-carbon energy-saving management system for power supply in factories based on digital modularization, characterized by: It includes a collection terminal, a data management platform and a comprehensive display terminal connected in sequence. The collection terminal is installed at each power-consuming equipment in the power plant to collect meter data, environmental and electrical parameters of each power-consuming equipment, and aggregate the collected data to the data management platform. The data management platform is used to receive meter data, environmental and electrical parameters of each power-consuming equipment to monitor the power consumption indicators of the power plant, and analyze the power consumption anomalies and power quality of each power-consuming equipment within a predetermined time. The comprehensive display terminal is used to display data and make reports based on the received information.