Electricity consumption data monitoring and management system

Abstract

The invention relates to the technical field of electric power, and discloses a power utilization data monitoring and management system which comprises a front-end detection module, an early warning module, a data transmission module, a data processing module, a data storage module, a remote control module and a safety management module. The early warning module is used for detecting voltage, current and equipment operation, giving an alarm when the power exceeds a preset normal range, and uploading the abnormal operation of the equipment to the safety management module to make a response when the abnormal operation of the equipment is detected; the security management module is used for classifying user permissions, separating the permissions of users and administrators, and performing detailed management on the permissions of each role; and each user can only operate within the permission range, so that permission abuse is avoided. On-off operation and power grid load balance adjustment can be carried out on the equipment through the remote control module, management of the power system is more flexible and intelligent, stable operation of the power grid is achieved, meanwhile, unnecessary energy waste is avoided, and the energy utilization efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the field of electric power technology, and in particular to an electricity consumption data monitoring and management system. Background Art

[0002] In the early days of the power system, electricity consumption data was mainly obtained through manual meter reading. This method is not only inefficient, but also prone to human errors, resulting in inaccurate data. Meter readers may misread meter readings, miss or misread data, which brings great trouble to electricity bill calculation and power management.

[0003] With the continuous development of sensor technology, various high-precision electrical sensors have emerged. These sensors can accurately measure electrical parameters such as current, voltage, and power, and have high stability and reliability. For example, the current sensor based on the Hall effect can achieve non-contact measurement of large currents with an accuracy of milliamperes; the voltage sensor can accurately measure the voltage value in a high-voltage environment, providing technical support for the comprehensive collection of electricity consumption data.

[0004] In traditional power system management, manual operations are required at the equipment site to switch the equipment on and off and adjust the operating parameters. This manual operation method is extremely inefficient, especially when the equipment is dispersed. Workers need to spend a lot of time and energy traveling back and forth between various devices. They cannot flexibly suspend the operation of non-critical equipment, and it is difficult to achieve rapid balancing and adjustment of the grid load. This not only makes it difficult to ensure the stable operation of the grid, but also fails to respond in time, resulting in grid overload and the risk of power outages. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention provides an electricity consumption data monitoring and management system to solve the problem that manual operations are required on-site to realize the switching of equipment and the adjustment of operating parameters. The staff need to spend a lot of time and energy traveling back and forth between various equipment, and cannot flexibly suspend the operation of non-critical equipment. This not only makes it difficult to ensure the stable operation of the power grid, but also fails to respond in time, resulting in power grid overload and the risk of power outages.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: An electricity consumption data monitoring and management system, comprising: Front-end detection module, early warning module, data transmission module, data processing module, data storage module, remote control module, and security management module; The front-end detection module is used to collect basic electrical parameters such as current, voltage, active power, reactive power, and apparent power, equipment operation status, equipment start and stop status, and detect the start and stop status of electrical equipment; The early warning module is used to detect voltage, current and equipment operation, and alarm when power exceeds the preset normal range, and upload the abnormal equipment operation to the safety management module for response; The data transmission module is used to: transmit the data detected by the front-end detection module to the data processing module for processing and unified calculation through the transmission medium including wireless transmission and wired transmission; The data processing module is used to unify the data and convert the current units of milliamperes and amperes collected by the equipment into the same units through the data processing module to ensure the accuracy of subsequent calculations and analysis; The data storage module is used to: store the processed data and information in portions, and select regular backup according to the settings of the administrator and the user, and store the collected power consumption data in partitions, including real-time data, historical data, and abnormal data, for viewing at any time; The remote control module is used to: remotely control the switch operation of the equipment, adjust the equipment operation parameters, and remotely adjust the power of the power-consuming equipment according to the actual power demand and grid replication; The security management module is used to: classify user permissions, separate the permissions of users and administrators, and manage the permissions of each role in detail. Data analysts can view and analyze electricity consumption data but cannot modify the control parameters of the equipment; system administrators can comprehensively manage the system but cannot delete important historical data at will, ensuring that each user can only operate within the scope of their permissions to avoid abuse of permissions.

[0007] Preferably, the front-end detection module includes: a power sensing unit, an environment sensing unit and a field image acquisition unit. The power sensing unit is used to determine whether the equipment is operating normally and whether there are abnormal conditions such as overload and undervoltage through real-time monitoring of current and voltage. The environment sensing unit is used to measure the temperature and humidity of the equipment operating environment. Changes in temperature and humidity will affect the operating efficiency and life of the equipment. The field image acquisition unit is used to identify the start and stop status of the electrical equipment by acquiring field images, and determine whether the production process is proceeding normally and whether the equipment has a fault and shut down through the start and stop status of the equipment.

[0008] Preferably, the early warning module includes: an abnormal alarm unit, a fault early warning unit and a load early warning unit. The abnormal alarm unit is used to immediately trigger an alarm when the monitored current, voltage, and power electrical parameters exceed a preset normal range. The fault early warning unit is used to: based on the equipment operation status information collected by the front-end detection module, the equipment's start and stop signals, and fault indication signals, when the equipment stops abnormally, starts and stops frequently, or sends out fault signals including overheating signals and overload signals, an early warning will be issued, which helps to timely discover potential problems of the equipment and avoid equipment damage and production interruptions. The load early warning unit is used to: based on historical electricity consumption data and current electricity consumption trends, through time series analysis and neural networks, predict the electricity load in the next few hours or days. When it is predicted that the electricity load will exceed the capacity of the power grid or transformer and the line current carrying capacity, the early warning module issues an early warning so that timely measures can be taken, such as adjusting the production plan and starting the backup power supply to avoid power outages caused by overload.

[0009] Preferably, the data transmission module includes: a wired and wireless transmission unit, a data encapsulation and decapsulation unit and a flow control unit. The wired and wireless transmission unit is used to transmit data via Ethernet or optical fiber and Wi-Fi transmission or 5G. The data encapsulation and decapsulation unit is used to package the current and voltage electrical parameter data by adding a data header, a data tail and a check code to form a data packet for transmission so as to be transmitted in the network. The flow control unit is used to ensure that the data transmission rate matches the data sending end and the receiving end to avoid data loss due to the receiving end receiving data too quickly and not being able to process it in time. The data transmission module will perform flow control.

[0010] Preferably, the data processing module includes: a data cleaning and conversion unit, a data analysis unit and a data compression unit. The data cleaning unit is used to: filter the collected current and voltage signals through filtering processing to remove high-frequency noise and interference signals, perform outlier correction, identify and process outliers in the data; the data analysis unit is used to: draw daily load curves, monthly load curves, and annual load curves through statistical analysis of historical electricity consumption data, and analyze the time distribution characteristics of electricity load; the data compression unit is used to: use a lossless compression algorithm to compress some data that need to be stored with high precision, thereby reducing data storage space without losing data information; use a lossy compression algorithm to compress some electricity consumption data that does not require high precision, thereby greatly reducing the amount of data stored while ensuring that the overall trend and characteristics of the data remain unchanged.

[0011] Preferably, the data storage module includes: a storage resource allocation unit, a data backup unit and a recovery unit. The storage resource allocation unit is used to divide the storage device into different partitions according to the real-time data, historical data, abnormal data, source and importance of the power consumption data. The data backup unit is used to prevent data loss. The data storage module will regularly back up the stored data. The backup cycle is determined according to the importance and change frequency of the data and the settings of the user or administrator. The recovery unit is used to enable the data storage module to quickly recover the data from the backup when the storage device fails or the data is damaged. The recovery process should be as fast and accurate as possible to reduce the loss caused by data loss.

[0012] Preferably, the remote control module includes: a device control unit and a power grid dispatching unit, wherein the device control unit is used to: turn on and off the remote power-consuming equipment through a network connection, and the operator remotely shuts down the equipment at the control center to avoid unnecessary energy waste; the power grid dispatching unit is used to: receive power consumption data from each node of the power grid through the remote control module, balance and adjust the load of the power grid based on this data, remotely control non-critical equipment in the area to suspend operation, and at the same time allocate power resources from other areas with lower loads to ensure stable operation of the power grid.

[0013] Preferably, the security management module includes: a user classification unit and a user authority unit, the user classification unit is used to: divide different roles according to the responsibilities and operational requirements of different users in the electricity consumption data monitoring and management system, namely, ordinary users, data analysts, and system administrators, each role is assigned different operating permissions, ordinary users may only be able to view electricity consumption data, while system administrators perform system configuration and equipment control operations, the user authority unit is used to: perform detailed management of the permissions of each role, data analysts view and analyze electricity consumption data, but cannot modify the control parameters of the equipment; system administrators perform comprehensive management of the system, but cannot arbitrarily delete important historical data. In this way, it is ensured that each user can only operate within the scope of his or her authority to avoid abuse of authority.

[0014] The present invention provides an electricity consumption data monitoring and management system. It has the following beneficial effects: 1. The present invention can perform on-off operation, operating parameter adjustment and grid load balancing adjustment on the equipment through the remote control module, which makes the management of the power system more flexible and intelligent. During peak power consumption, the power of the equipment can be adjusted remotely or the operation of non-critical equipment can be suspended to achieve stable operation of the power grid, while avoiding unnecessary energy waste and improving energy utilization efficiency.

[0015] 2. The present invention can comprehensively collect various electrical parameters such as current, voltage, active power, and information such as equipment operating status through the front-end detection module. The data processing module then unifies the data of different units. The data cleaning and conversion unit in the data processing module can not only remove high-frequency noise and interference signals in the collected signals, but also correct abnormal values ​​to ensure that the data is clean and reliable before entering the subsequent process. The data storage module stores the data in partitions, including real-time, historical and abnormal data, and can be backed up as needed, so that the data can maintain integrity throughout its life cycle.

[0016] 3. The present invention separates user and administrator permissions through a security management module and manages the permissions of each role in detail, which can effectively avoid abuse of permissions and ensure the security of the system and the integrity of data. Data analysts can focus on data analysis without modifying device control parameters due to misoperation, which will affect the normal operation of the equipment. System administrators are also subject to permission restrictions when managing the system and cannot delete important historical data at will. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 This is a system architecture diagram of an electricity consumption data monitoring and management system proposed by the present invention; Figure 2 This is a front-end detection module architecture diagram of an electricity consumption data monitoring and management system proposed by the present invention; Figure 3 This is an architecture diagram of an early warning module of an electricity consumption data monitoring and management system proposed by the present invention; Figure 4 This is a data transmission module architecture diagram of an electricity consumption data monitoring and management system proposed by the present invention; Figure 5 This is a data processing module architecture diagram of an electricity consumption data monitoring and management system proposed by the present invention; Figure 6 This is a data storage module architecture diagram of an electricity consumption data monitoring and management system proposed by the present invention; Figure 7 This is a diagram of the architecture of a remote control module of an electricity consumption data monitoring and management system proposed by the present invention; Figure 8 This is an architecture diagram of a security management module of an electricity consumption data monitoring and management system proposed by the present invention. DETAILED DESCRIPTION

[0018] The technical solution of the present invention will be described clearly and completely below in conjunction with the accompanying drawings of the present invention. 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 creative work are within the scope of protection of the present invention.

[0019] For examples, please see the attached Figure 1 -Attached Figure 8 The embodiment of the present invention provides an electricity consumption data monitoring and management system, including: Front-end detection module, early warning module, data transmission module, data processing module, data storage module, remote control module, and security management module; The front-end detection module is used to collect basic electrical parameters such as current, voltage, active power, reactive power, and apparent power, equipment operation status, equipment start and stop status, and detect the start and stop status of electrical equipment; The early warning module is used to detect voltage, current and equipment operation. When the power exceeds the preset normal range, it will alarm. When abnormal equipment operation is detected, it will be uploaded to the safety management module for response. The data transmission module is used to: transmit the data detected by the front-end detection module to the data processing module for processing and unified calculation through the transmission media including wireless transmission and wired transmission; The data processing module is used to: unify the data and convert the current units of milliamperes and amperes collected by the equipment into the same units through the data processing module to ensure the accuracy of subsequent calculations and analysis; The data storage module is used to: store the processed data and information in portions, and select regular backup according to the settings of the administrator and the user, and partition the collected power consumption data including real-time data, historical data, and abnormal data for viewing at any time; The remote control module is used for: remote control of equipment switch operation, adjustment of equipment operating parameters, and remote adjustment of the power of electrical equipment according to actual power demand and grid replication; The security management module is used to: classify user permissions, separate the permissions of users and administrators, and manage the permissions of each role in detail. Data analysts view and analyze electricity consumption data but cannot modify the control parameters of the equipment. System administrators manage the system comprehensively but cannot delete important historical data at will, ensuring that each user can only operate within the scope of their permissions to avoid abuse of permissions.

[0020] The front-end detection module includes: a power sensing unit, an environmental sensing unit and a field image acquisition unit. The power sensing unit is used to determine whether the equipment is operating normally and whether there are abnormal conditions such as overload and undervoltage through real-time monitoring of current and voltage. The environmental sensing unit is used to measure the temperature and humidity of the equipment's operating environment. Changes in temperature and humidity will affect the equipment's operating efficiency and lifespan. The field image acquisition unit is used to identify and detect the start and stop status of electrical equipment by collecting field images, and to determine whether the production process is proceeding normally and whether the equipment has a fault and is shut down through the start and stop status of the equipment.

[0021] Specifically, the power sensing unit monitors current and voltage in real time with high precision, and can promptly detect changes in equipment operation. A sudden increase in current may be a short circuit or overload of a component, and a voltage drop may be a power supply line or power module failure. This allows operation and maintenance personnel to handle it early, reducing maintenance costs and downtime, and accurately identifying overloads and undervoltages to ensure stable operation. Environmental sensing unit, which measures the temperature and humidity of the equipment operating environment. In the scenario where electronic chip manufacturing has high environmental requirements, small changes in temperature and humidity affect product quality and efficiency. Real-time measurement is used to adjust environmental control equipment to the optimal operating environment. The on-site image acquisition unit can collect on-site images to clearly identify the start and stop status of the equipment. In a complex production process, the start and stop status of the equipment is a key indicator to determine whether the production process is normal. The shutdown of equipment in a certain link can be quickly and intuitively confirmed through images, and then it can be determined whether it is caused by a failure of the equipment itself or other factors.

[0022] The early warning module includes: an abnormal alarm unit, a fault early warning unit and a load early warning unit. The abnormal alarm unit is used to immediately trigger an alarm when the monitored current, voltage, and power electrical parameters exceed the preset normal range. The fault early warning unit is used to: based on the equipment operation status information collected by the front-end detection module, the equipment's start and stop signals, and fault indication signals, when the equipment stops abnormally, starts and stops frequently, or sends fault signals including overheating signals and overload signals, an early warning will be issued, which will help to timely discover potential problems of the equipment and avoid equipment damage and production interruptions. The load early warning unit is used to: based on historical electricity consumption data and current electricity consumption trends, through time series analysis and neural networks, predict the electricity load in the next few hours or days. When it is predicted that the electricity load will exceed the capacity of the power grid or transformer and the line current carrying capacity, the early warning module issues an early warning so that timely measures can be taken, such as adjusting the production plan and starting the backup power supply to avoid power outages caused by overload.

[0023] Specifically, the abnormal alarm unit mainly targets electrical parameters. When the monitored current, voltage, and power electrical parameters exceed the pre-set normal range, it can quickly trigger the alarm mechanism to prompt the staff to promptly check the line or equipment faults; The fault warning unit works according to the equipment operation status information collected by the front-end detection module. When the equipment stops abnormally, starts and stops frequently, or sends out overheating or overload fault signals, the unit will issue a warning. After detecting the overheating signal, the fault warning unit issues a warning, allowing the staff to take cooling measures or arrange equipment shutdown and maintenance before the equipment is completely damaged, thereby avoiding equipment damage and the resulting production interruption; The load warning unit analyzes historical electricity consumption data and current electricity consumption trends. When it is predicted that the power load will exceed the grid, transformer capacity or line current carrying capacity, the warning module will issue a warning, and the staff will adjust the production plan in time, suspend some non-essential production equipment, or start the backup power supply to avoid power outages caused by overload.

[0024] The data transmission module includes: a wired and wireless transmission unit, a data encapsulation and decapsulation unit, and a flow control unit. The wired and wireless transmission unit is used to transmit data via Ethernet, optical fiber, Wi-Fi transmission, or 5G. The data encapsulation and decapsulation unit is used to package the current and voltage electrical parameter data by adding a data header, a data tail, and a check code to form a data packet for transmission so as to be transmitted in the network. The flow control unit is used to ensure that the data rate matches the data sending end and the receiving end to avoid data loss due to the receiving end receiving data too quickly and not being able to process it in time. The data transmission module will perform flow control.

[0025] Specifically, there are advantages of multiple media. Wired Ethernet is stable and suitable for short-distance transmission, such as corporate intranet. Optical fiber is used in high-demand scenarios and can transmit over long distances and in large capacities. Wireless Wi-Fi facilitates flexible access of devices and is suitable for homes and offices. 5G has fast speed and low latency and can meet the needs of large-volume transmission. These rich transmission methods can adapt to different scenarios and ensure efficient data transmission.

[0026] The data encapsulation and decapsulation unit adds data headers, tails and check codes to the current and voltage electrical parameter data and packages them into data packets. This gives the data a unified and standardized format during network transmission, and can clearly identify the start and end positions of the data. The check code can verify the accuracy of the data, ensure the integrity of the data during transmission, and reduce the probability of data errors.

[0027] The traffic control unit ensures that the data transmission and receiving rates match each other. When the receiving end has limited processing capacity, it prevents the receiving end from losing data due to excessively fast transmission at the sending end and data accumulation at the receiving end that cannot be processed in time.

[0028] The data processing module includes: a data cleaning and conversion unit, a data analysis unit and a data compression unit. The data cleaning unit is used to: filter the collected current and voltage signals through filtering processing, remove high-frequency noise and interference signals, and perform outlier correction, identify and process outliers in the data. The data analysis unit is used to: draw daily load curves, monthly load curves, and annual load curves through statistical analysis of historical electricity consumption data, and analyze the time distribution characteristics of electricity load. The data compression unit is used to: use a lossless compression algorithm to compress some data that need to be saved with high precision, reduce data storage space without losing data information, and use a lossy compression algorithm to compress some electricity consumption data that do not require high precision, while ensuring that the overall trend and characteristics of the data remain unchanged, greatly reducing the amount of data stored.

[0029] Specifically, in the data cleaning and conversion unit, there will be high-frequency noise and interference when collecting current and voltage signals. Filtering can remove these impurities to make the signal pure, such as reducing grid harmonic interference in the power system and improving data accuracy. Abnormal values ​​may appear in the data due to sensor failure. After identification by statistical methods, interpolation or replacement with the average value of adjacent data is used to make the data consistent with reality and improve the reliability of subsequent analysis; The data analysis unit, based on the load curve, deeply analyzes the time distribution characteristics of power load, which can provide a basis for power system planning, dispatching, market operation and enterprise and residential power management; The data compression unit uses a lossless compression algorithm for data that needs to be stored with high precision, reducing storage space without losing information.

[0030] The data storage module includes: a storage resource allocation unit, a data backup unit and a recovery unit. The storage resource allocation unit is used to divide the storage device into different partitions according to the real-time data, historical data, abnormal data, source and importance of the power consumption data. The data backup unit is used to prevent data loss. The data storage module will regularly back up the stored data. The backup cycle is determined according to the importance and change frequency of the data and the user or administrator settings. The recovery unit is used to: when the storage device fails or the data is damaged, the data storage module can quickly restore the data from the backup. The recovery process should be as fast and accurate as possible to reduce the loss caused by data loss.

[0031] Specifically, the storage resource allocation unit partitions the storage devices according to the types of power consumption data, such as real-time, historical, abnormal, source, and importance, for easy management and efficient storage; Data backup unit, to prevent data loss, the data storage module backs up data according to data importance, change frequency, and the cycle set by the user or administrator; Recovery unit: when the storage device fails or the data is damaged, the data storage module can quickly restore the data from the backup to reduce the loss caused by data loss.

[0032] The remote control module includes: an equipment control unit and a power grid dispatching unit. The equipment control unit is used to: open and close the remote power-consuming equipment through a network connection. The operator remotely shuts down the equipment at the control center to avoid unnecessary energy waste. The power grid dispatching unit is used to: receive power consumption data from each node of the power grid through the remote control module, balance and adjust the load of the power grid based on this data, remotely control non-critical equipment in the area to suspend operation, and allocate power resources from other areas with lower loads to ensure the stable operation of the power grid.

[0033] Specifically, the remote control module remotely controls the switches of electrical equipment through network connection, such as turning off the equipment in the control center to avoid energy waste; The grid dispatching unit receives power consumption data from each node in the grid, balances the grid load, allows non-critical equipment to suspend operation, and allocates resources from low-load areas to ensure grid stability.

[0034] The security management module includes: a user classification unit and a user authority unit. The user classification unit is used to: divide different roles according to the responsibilities and operational requirements of different users in the electricity consumption data monitoring and management system, including ordinary users, data analysts, and system administrators. Each role is given different operating permissions. Ordinary users may only be able to view electricity consumption data, while system administrators perform system configuration and equipment control operations. The user authority unit is used to: perform detailed management of the permissions of each role. Data analysts view and analyze electricity consumption data but cannot modify the control parameters of the equipment; system administrators perform comprehensive management of the system but cannot delete important historical data at will. In this way, it is ensured that each user can only operate within the scope of their authority to avoid abuse of authority.

[0035] Specifically, the user classification unit divides roles according to the user's responsibilities and needs in the electricity consumption data monitoring and management system, such as ordinary users, data analysts, and system administrators, and each role is granted different permissions. For example, ordinary users can only view data, while system administrators can perform system configuration and equipment control.

[0036] The user authority unit manages the authority of each role in detail. For example, data analysts can view and analyze electricity consumption data but cannot modify equipment control parameters. System administrators can fully manage the system but cannot delete important historical data at will. This ensures that users operate within the scope of their authority and prevents abuse of authority.

[0037] Although 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 the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An electricity consumption data monitoring and management system, It is characterized in that include: Front-end detection module, early warning module, data transmission module, data processing module, data storage module, remote control module, and security management module; The front-end detection module is used to collect basic electrical parameters such as current, voltage, active power, reactive power, and apparent power, equipment operation status, equipment start and stop status, and detect the start and stop status of electrical equipment; The early warning module is used to detect voltage, current and equipment operation, and alarm when power exceeds the preset normal range, and upload the abnormal equipment operation to the safety management module for response; The data transmission module is used to: transmit the data detected by the front-end detection module to the data processing module for processing and unified calculation through the transmission medium including wireless transmission and wired transmission; The data processing module is used to unify the data and convert the current units of milliamperes and amperes collected by the equipment into the same units through the data processing module to ensure the accuracy of subsequent calculations and analysis; The data storage module is used to: store the processed data and information in portions, and select regular backup according to the settings of the administrator and the user, and store the collected power consumption data in partitions, including real-time data, historical data, and abnormal data, for viewing at any time; The remote control module is used to: remotely control the switch operation of the equipment, adjust the equipment operation parameters, and remotely adjust the power of the power-consuming equipment according to the actual power demand and grid replication; The security management module is used to: classify user permissions, separate the permissions of users and administrators, and manage the permissions of each role in detail. Data analysts can view and analyze electricity consumption data but cannot modify the control parameters of the equipment; system administrators can comprehensively manage the system but cannot delete important historical data at will, ensuring that each user can only operate within the scope of their permissions to avoid abuse of permissions.

2. The power consumption data monitoring and management system according to claim 1, Features: The front-end detection module includes: a power sensing unit, an environment sensing unit and a field image acquisition unit. The power sensing unit is used to determine whether the equipment is operating normally and whether there are abnormal conditions such as overload and undervoltage through real-time monitoring of current and voltage. The environment sensing unit is used to measure the temperature and humidity of the equipment operating environment. Changes in temperature and humidity will affect the operating efficiency and life of the equipment. The field image acquisition unit is used to identify the start and stop status of the electrical equipment by acquiring field images, and determine whether the production process is proceeding normally and whether the equipment has a fault and is shut down through the start and stop status of the equipment.

3. The power consumption data monitoring and management system according to claim 1, Features: The early warning module includes: an abnormal alarm unit, a fault early warning unit and a load early warning unit. The abnormal alarm unit is used to immediately trigger an alarm when the monitored current, voltage, and power electrical parameters exceed the preset normal range. The fault early warning unit is used to: based on the equipment operation status information collected by the front-end detection module, the equipment's start and stop signals, and fault indication signals, when the equipment stops abnormally, starts and stops frequently, or sends out fault signals including overheating signals and overload signals, an early warning will be issued, which is helpful to timely discover potential problems of the equipment and avoid equipment damage and production interruption. The load early warning unit is used to: based on historical electricity consumption data and current electricity consumption trends, through time series analysis and neural networks, predict the electricity load in the next few hours or days. When it is predicted that the electricity load will exceed the capacity of the power grid or transformer and the line current carrying capacity, the early warning module issues an early warning so that timely measures can be taken, such as adjusting the production plan and starting the backup power supply to avoid power outages caused by overload.

4. The power consumption data monitoring and management system according to claim 1, Features: The data transmission module includes: a wired and wireless transmission unit, a data encapsulation and decapsulation unit and a flow control unit. The wired and wireless transmission unit is used to transmit data via Ethernet or optical fiber and Wi-Fi transmission or 5G. The data encapsulation and decapsulation unit is used to package the current and voltage electrical parameter data by adding a data header, a data tail and a check code to form a data packet for transmission so as to be transmitted in the network. The flow control unit is used to ensure the rate matching between the data sending end and the receiving end to avoid data loss due to the receiving end receiving data too quickly and not being able to process it in time. The data transmission module will perform flow control.

5. The power consumption data monitoring and management system according to claim 1, Features: The data processing module includes: a data cleaning and conversion unit, a data analysis unit and a data compression unit. The data cleaning unit is used to: filter the collected current and voltage signals through filtering processing, remove high-frequency noise and interference signals, and perform outlier correction, identify and process outliers in the data. The data analysis unit is used to: draw daily load curves, monthly load curves, and annual load curves through statistical analysis of historical electricity consumption data, and analyze the time distribution characteristics of electricity load. The data compression unit is used to: use a lossless compression algorithm to compress some data that need to be stored with high precision, thereby reducing data storage space without losing data information. For some electricity consumption data that do not require high precision, use a lossy compression algorithm to compress it, thereby greatly reducing the amount of data stored while ensuring that the overall trend and characteristics of the data remain unchanged.

6. The power consumption data monitoring and management system according to claim 1, Features: The data storage module includes: a storage resource allocation unit, a data backup unit and a recovery unit. The storage resource allocation unit is used to divide the storage device into different partitions according to the real-time data, historical data, abnormal data, source and importance of the power consumption data. The data backup unit is used to prevent data loss. The data storage module will regularly back up the stored data. The backup cycle is determined according to the importance and change frequency of the data and the user or administrator settings. The recovery unit is used to: when the storage device fails or the data is damaged, the data storage module can quickly restore the data from the backup. The recovery process should be as fast and accurate as possible to reduce the loss caused by data loss.

7. The power consumption data monitoring and management system according to claim 1, Features: The remote control module includes: a device control unit and a power grid dispatching unit. The device control unit is used to: open and close the remote power-consuming equipment through a network connection. The operator remotely shuts down the equipment at the control center to avoid unnecessary energy waste. The power grid dispatching unit is used to: receive power consumption data from each node of the power grid through the remote control module, balance and adjust the load of the power grid based on this data, remotely control non-critical equipment in the area to suspend operation, and allocate power resources from other areas with lower loads to ensure the stable operation of the power grid.

8. The power consumption data monitoring and management system according to claim 1, Features: The security management module includes: a user classification unit and a user authority unit. The user classification unit is used to: divide different roles according to the responsibilities and operation requirements of different users in the electricity consumption data monitoring and management system, including ordinary users, data analysts, and system administrators. Each role is given different operation permissions. Ordinary users may only be able to view electricity consumption data, while system administrators perform system configuration and equipment control operations. The user authority unit is used to: perform detailed management of the permissions of each role. Data analysts view and analyze electricity consumption data but cannot modify the control parameters of the equipment; system administrators perform comprehensive management of the system but cannot delete important historical data at will. In this way, it is ensured that each user can only operate within the scope of their authority to avoid abuse of authority.

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