Power consumption management method and system based on real-time monitoring and automatic control

Abstract

The invention discloses a power consumption management method and system based on real-time monitoring and automatic control. The system comprises the following steps: a data acquisition step: acquiring power consumption data of each power consumption node of an office in real time through an intelligent electric meter, and acquiring environment data of each area of the office in real time through an environment sensor; a data transmission step: transmitting the collected power consumption data and environment data to a central data processing platform; an electricity utilization control step: adopting a rule engine, and automatically executing a control instruction based on a preset rule; the operation state of the equipment is dynamically adjusted under the power utilization peak or abnormal condition, through setting of the steps of data collection, data transmission, power utilization control and power utilization adjustment, real-time monitoring and automatic control of office power utilization are achieved, the power utilization management efficiency is effectively improved, and the power utilization cost is reduced.

Description

Technical Field

[0001] The present invention relates to the field of electricity consumption management, and particularly to an electricity consumption management method and system based on real-time monitoring and automatic control. Background Art

[0002] With the development of the power industry, the rational allocation and efficient utilization of power resources have become an urgent problem to be solved. Traditional electricity consumption management methods often rely on manual monitoring and manual adjustment. This method is not only inefficient but also difficult to achieve refined management of power resources. In recent years, with the rapid development of technologies such as the Internet of Things, big data, and cloud computing, the application of real-time monitoring and automatic control in the field of electricity consumption management has gradually attracted attention. However, most of the existing electricity consumption management systems have single functions and lack comprehensive real-time monitoring and automatic control capabilities, unable to meet the growing electricity consumption management needs. Summary of the Invention

[0003] The technical problem solved by the present invention is to provide an electricity consumption management method based on real-time monitoring and automatic control that can improve the efficiency of electricity consumption management and maximize the reduction of electricity consumption costs.

[0004] The technical solution adopted by the present invention to solve its technical problems is: an electricity consumption management method based on real-time monitoring and automatic control, including the following steps:

[0005] Data acquisition step: Real-time collect the electricity consumption data of each electricity consumption node in the office through smart meters, and real-time collect the environmental data of each area in the office through environmental sensors;

[0006] Data transmission step: Transmit the collected electricity consumption data and environmental data to the central data processing platform;

[0007] Electricity consumption control step: Adopt a rule engine to automatically execute control instructions based on preset rules;

[0008] Electricity consumption adjustment step: Dynamically adjust the device operation status during peak electricity consumption or abnormal situations.

[0009] Furthermore: In the data acquisition step, it further includes an electricity consumption high-temperature detection step, specifically:

[0010] Based on real-time electricity consumption data and historical data, use time series analysis technology to identify peak electricity consumption periods;

[0011] Combine grid load data and electricity price information to predict future peak electricity consumption and generate warning information.

[0012] Furthermore: In the data acquisition step, it further includes an abnormal electricity consumption detection step, specifically:

[0013] Use machine learning algorithms to detect abnormal electricity consumption in real time;

[0014] Combine environmental data and equipment operation status to analyze the reasons for abnormal electricity consumption.

[0015] Furthermore: In the electricity consumption control step, it specifically includes the following steps:

[0016] Preset multiple control rules;

[0017] Add, modify, or delete rules;

[0018] Store rule data in a distributed database;

[0019] Adopt an event matching algorithm to match the collected event data with the preset rules and manage electricity consumption according to the stored rules.

[0020] Furthermore: In the electricity consumption adjustment step, specifically:

[0021] Grid data access: Obtain the grid load status and electricity price information in real time;

[0022] Circuit distribution optimization: During peak electricity consumption periods, give priority to using the electricity in the energy storage system. During off-peak electricity consumption periods, store the excess electricity in the energy storage system.

[0023] Furthermore: In the electricity consumption adjustment step, it also includes a digital twin electricity consumption management step, specifically:

[0024] Digital twin model construction: Build a virtual mirror of the office, and map the electricity-consuming equipment, environmental parameters, and energy consumption data of the physical office in real time,

[0025] Real-time data synchronization: Real-time collect electricity consumption data, environmental data, and equipment operation status data through smart meters, environmental sensors, and equipment sensors, and synchronize the data to the digital twin model;

[0026] Remote monitoring and control: Remotely monitor the electricity consumption status and equipment operation status of the office through the digital twin model and remotely control the equipment operation parameters.

[0027] The present invention also discloses an electricity consumption management system based on real-time monitoring and automatic control, including a data collection module, a data transmission module, an electricity consumption control module, and an electricity consumption adjustment module;

[0028] The data collection module is used to collect the electricity consumption data of each electricity consumption node in the office in real time through a smart meter and collect the environmental data of each area in the office in real time through an environmental sensor;

[0029] The data transmission module is used to transmit the collected electricity consumption data and environmental data to the central data processing platform;

[0030] The power consumption control module is used to automatically execute control instructions based on preset rules by using a rule engine;

[0031] The power consumption adjustment module is used to dynamically adjust the operating state of the device during peak power consumption or abnormal situations.

[0032] Furthermore: In the data acquisition module, there is also a high-temperature power consumption detection unit, specifically:

[0033] Based on real-time power consumption data and historical data, use time series analysis technology to identify peak power consumption periods;

[0034] Combine grid load data and electricity price information to predict future peak power consumption and generate early warning information.

[0035] The present invention also discloses a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the above-mentioned scanning method based on pre-scanning and dynamic optimization are realized.

[0036] The present invention also discloses a computer device, including a processor, a communication interface, a memory, and a communication bus. Among them, the processor, the communication interface, and the memory complete mutual communication through the communication bus; wherein:

[0037] The memory is used to store a computer program;

[0038] The processor is used to execute the steps of the above-mentioned scanning method based on pre-scanning and dynamic optimization by running the program stored on the memory.

[0039] The beneficial effects of the present invention are:

[0040] 1. Through the settings of the steps of data acquisition, data transmission, power consumption control, and power consumption adjustment in the present invention, real-time monitoring and automatic control of office power consumption are realized, effectively improving the power consumption management efficiency and reducing the power consumption cost.

[0041] 2. Through the settings of the high-temperature power consumption detection step and the abnormal power consumption detection step in the present invention, the refinement degree of power consumption management is improved, and power consumption anomalies can be timely warned and processed, avoiding power consumption waste and potential safety hazards.

[0042] 3. Through the setting of the digital twin power consumption management step in the present invention, remote monitoring and control of the office power consumption status are realized, improving the intelligent level of power consumption management and facilitating the remote management and control of power consumption equipment by managers. Brief Description of the Drawings

[0043] Figure 1 Schematic flowchart of the power consumption management method based on real-time monitoring and automatic control according to an embodiment of the present application.

[0044] Figure 2 Schematic framework diagram of the power consumption management system based on real-time monitoring and automatic control according to an embodiment of the present application. Detailed implementation manners

[0045] To make the above objects, features, and advantages of the present invention more obvious and understandable, the following will describe the detailed implementation manners of the present invention with reference to the accompanying drawings.

[0046] As Figure 1 shown, an embodiment of the present application discloses a power consumption management method based on real-time monitoring and automatic control, including the following steps:

[0047] Data collection step: Real-time collect the power consumption data of each power consumption node in the office through intelligent electricity meters, and real-time collect the environmental data of each area in the office through environmental sensors;

[0048] Data transmission step: Transmit the collected power consumption data and environmental data to the central data processing platform;

[0049] Power consumption control step: Use a rule engine to automatically execute control instructions based on preset rules;

[0050] Power consumption adjustment step: Dynamically adjust the operating state of equipment during peak power consumption or abnormal situations.

[0051] Specifically, during data collection, the intelligent electricity meter can accurately record key parameters such as current, voltage, and power factor of each power consumption node, and the environmental sensor is responsible for monitoring environmental factors such as temperature, humidity, and light intensity in the office. At the same time, it will also collect the power consumption status of each device. The collected data is sent to the central data processing platform for analysis and processing in real time through a high-speed and stable data transmission network. Then, the rule engine performs intelligent analysis and judgment on the received power consumption data and environmental data according to a variety of preset control rules, and then automatically executes the corresponding control instructions. These control instructions include adjusting the power, switch state, etc. of the equipment. In the power consumption adjustment step, the system can intelligently adjust the operating state of the equipment according to the grid load status and electricity price information.

[0052] In the present invention, through the settings of the data collection, data transmission, power consumption control, and power consumption adjustment steps, the real-time monitoring and automatic control of the office power consumption are realized, effectively improving the power consumption management efficiency and reducing the power consumption cost.

[0053] In this embodiment, in the data collection step, it further includes a power consumption high-temperature detection step, specifically:

[0054] Based on real-time electricity consumption data and historical data, time series analysis technology is used to identify peak electricity consumption periods;

[0055] Combined with grid load data and electricity price information, predict future peak electricity consumption and generate warning messages.

[0056] Specifically, time series analysis technology is adopted to deeply analyze historical and real-time electricity consumption data to accurately identify peak electricity consumption periods. At the same time, combined with grid load data and electricity price information, further predict future peak electricity consumption and automatically generate warning messages. These warning messages will be sent to managers in a timely manner through preset communication channels so that they can make preparations for electricity consumption adjustment in advance, thus effectively avoiding power shortages and equipment overload problems caused by peak electricity consumption.

[0057] In this embodiment, in the data collection step, an abnormal electricity consumption detection step is further included, specifically:

[0058] Use machine learning algorithms to detect abnormal electricity consumption in real time;

[0059] Combined with environmental data and equipment operation status, analyze the reasons for abnormal electricity consumption.

[0060] Specifically, machine learning algorithms are used to analyze electricity consumption data in real time to quickly identify abnormal electricity consumption situations, such as abnormal equipment power consumption and circuit overload. When an abnormality is detected, the system will immediately trigger an alarm mechanism and send the abnormal information to the manager. At the same time, combined with environmental data and equipment operation status, further analyze the reasons for abnormal electricity consumption and provide managers with detailed diagnostic reports and solution suggestions.

[0061] In this embodiment, in the electricity consumption control step, the following steps are specifically included:

[0062] Preset multiple control rules;

[0063] Add, modify or delete rules;

[0064] Store rule data in a distributed database;

[0065] Adopt an event matching algorithm to match the collected event data with the preset rules and conduct electricity consumption management according to the stored rules.

[0066] Specifically, multiple electricity usage rules are preset first. For example, when the light intensity in a certain area of the office is higher than the set threshold (such as 500 lux), the lighting equipment in that area is automatically turned off; when the personnel density in a certain area is zero (detected by an infrared sensor or a camera). When the personnel density in a certain area is zero (detected by an infrared sensor or a camera), the lighting equipment in that area is automatically turned off. In addition, rules can be added, modified, or deleted manually to meet different electricity usage management requirements. The rule data is stored in a distributed database to improve data reliability and access speed. When the collected event data matches the preset rules, the system automatically executes corresponding electricity usage management operations according to the stored rules, such as adjusting equipment power, switch status, etc.

[0067] In this embodiment, in the electricity usage adjustment step, specifically:

[0068] Grid data access: Real-time acquisition of grid load status and electricity price information;

[0069] Circuit distribution optimization: During peak electricity usage periods, give priority to using the electric energy in the energy storage system. During off-peak electricity usage periods, store the excess electric energy into the energy storage system.

[0070] Specifically, the system can real-time acquire the grid load status and electricity price information. During peak electricity usage periods, to ensure the stable operation of the grid and reduce electricity costs, the system will give priority to using the electric energy in the energy storage system for power supply. While during off-peak electricity usage periods, the system will store the excess electric energy into the energy storage system for future use. This strategy of circuit distribution optimization not only improves the energy utilization efficiency but also effectively reduces the electricity costs of enterprises.

[0071] In this embodiment, in the electricity usage adjustment step, it also includes a digital twin electricity usage management step, specifically:

[0072] Digital twin model construction: Construct a virtual mirror of the office, and real-time map the electricity usage equipment, environmental parameters, and energy consumption data of the physical office.

[0073] Real-time data synchronization: Real-time collect electricity usage data, environmental data, and equipment operation status data through smart meters, environmental sensors, and equipment sensors, and synchronize the data to the digital twin model;

[0074] Remote monitoring and control: Remotely monitor the electricity usage status and equipment operation status of the office through the digital twin model and remotely control the equipment operation parameters.

[0075] Specifically, by constructing a virtual mirror image of the office, real-time synchronization and interaction of data are achieved between the digital twin model and the physical office. In the digital twin model, each electrical device, environmental parameter, and energy consumption data are accurately mapped and displayed. Managers can access this virtual office mirror image to intuitively understand the electricity usage status and equipment operation status in the office, and perform remote control and modify the parameters and switch status of each electrical device to ensure electricity safety.

[0076] The present invention also discloses an electricity management system based on real-time monitoring and automatic control, including a data acquisition module, a data transmission module, an electricity control module, and an electricity adjustment module;

[0077] The data acquisition module is used to collect the electricity usage data of each electricity consumption node in the office in real time through an intelligent electricity meter, and collect the environmental data of each area in the office in real time through an environmental sensor;

[0078] The data transmission module is used to transmit the collected electricity usage data and environmental data to the central data processing platform;

[0079] The electricity control module is used to adopt a rule engine to automatically execute control instructions based on preset rules;

[0080] The electricity adjustment module is used to dynamically adjust the equipment operation status during peak electricity consumption or abnormal situations.

[0081] Specifically, in the data acquisition module, there is also an electricity high-temperature detection unit, specifically:

[0082] Based on real-time electricity usage data and historical data, time series analysis technology is used to identify peak electricity consumption periods;

[0083] Combined with grid load data and electricity price information, predict future peak electricity consumption and generate early warning information.

[0084] In the present invention, through the settings of data acquisition, data transmission, electricity control, and electricity adjustment steps, real-time monitoring and automatic control of office electricity usage are achieved, effectively improving the efficiency of electricity management and reducing electricity costs. At the same time, through the settings of the electricity high-temperature detection step and the abnormal electricity usage detection step, the refinement degree of electricity management is improved, and electricity usage anomalies can be timely warned and processed, avoiding electricity waste and safety hazards.

[0085] The present invention also discloses a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the steps of the above-mentioned electricity management method based on real-time monitoring and automatic control are realized.

[0086] In addition, the computer-readable storage medium of this embodiment can adopt any combination of one or more readable storage media. Among them, the readable storage medium includes systems, devices or components of electricity, light, electromagnetism, infrared rays or semiconductors, or any combination of the above.

[0087] The present invention also discloses a computer device, including a processor, a communication interface, a memory and a communication bus. Among them, the processor, the communication interface, and the memory complete mutual communication through the communication bus. Among them:

[0088] The memory is used to store computer programs;

[0089] The processor is used to execute the steps of the above-mentioned power consumption management method based on real-time monitoring and automatic control by running the program stored on the memory.

[0090] As an implementation manner of the present invention, the communication bus mentioned in the above terminal can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. This communication bus can be divided into an address bus, a data bus, a control bus, etc.

[0091] As an implementation manner of the present invention, the communication interface is used for communication between the above terminal and other devices.

[0092] As an implementation manner of the present invention, the memory can include a Random Access Memory (RAM), and can also include a non-volatile memory, such as at least one disk memory. Optionally, the memory can also be at least one storage device located far from the aforementioned processor.

[0093] As an implementation manner of the present invention, the above-mentioned processor may be a general-purpose processor, including a central processing unit (CPU for short), a network processor (NP for short), etc.; it may also be a digital signal processor (DSP for short), an application specific integrated circuit (ASIC for short), a field-programmable gate array (FPGA for short), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components.

[0094] The specific embodiments described above further elaborate on the purpose, technical solutions, and beneficial effects of the present invention. It should be understood that the above are only specific embodiments of the present invention and are not used to limit the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. An electricity consumption management method based on real-time monitoring and automatic control, characterized in that, It includes the following steps: Data collection step: The power consumption data of each power consumption node in the office is collected in real time through an intelligent electricity meter, and the environmental data of each area in the office is collected in real time through an environmental sensor for the power consumption management method based on real-time monitoring and automation control; Data transmission step: The collected power consumption data and environmental data are transmitted to the central data processing platform; Power consumption control step: Using a rule engine, automatically execute control instructions based on preset rules; Power consumption adjustment step: Dynamically adjust the operation status of equipment during peak power consumption or abnormal situations.

2. The power consumption management method based on real-time monitoring and automatic control according to claim 1, characterized in that In the data collection step, it also includes a high-temperature power consumption detection step, specifically: Based on real-time power consumption data and historical data, use time series analysis technology to identify peak power consumption periods; Combined with grid load data and electricity price information, predict future peak power consumption and generate warning information.

3. The power consumption management method based on real-time monitoring and automatic control according to claim 1, characterized in that, In the data collection step, it also includes an abnormal power consumption detection step, specifically: Use machine learning algorithms to detect abnormal power consumption in real time; Combined with environmental data and equipment operation status, analyze the reasons for abnormal power consumption.

4. The power consumption management method based on real-time monitoring and automatic control according to claim 1, characterized in that In the power consumption control step, it specifically includes the following steps: Preset multiple control rules; Add, modify, or delete rules; Store rule data in a distributed database; Use an event matching algorithm to match the collected event data with the preset rules and perform power consumption management according to the stored rules.

5. The power consumption management method based on real-time monitoring and automatic control according to claim 1, characterized in that In the power consumption adjustment step, specifically: Grid data access: Obtain the grid load status and electricity price information in real time; Circuit distribution optimization: During peak power consumption periods, preferentially use the electric energy in the energy storage system, and during off-peak power consumption periods, store the excess electric energy in the energy storage system.

6. The power consumption management method based on real-time monitoring and automatic control according to claim 1, characterized in that In the power consumption adjustment step, it also includes a digital twin power consumption management step, specifically: Digital twin model construction: Construct a virtual mirror of the office, and real-time map the power consumption equipment, environmental parameters, and energy consumption data of the physical office; Real-time data synchronization: Collect power consumption data, environmental data, and equipment operation status data in real time through intelligent electricity meters, environmental sensors, and equipment sensors, and synchronize the data to the digital twin model; Remote monitoring and control: Remotely monitor the power consumption status and equipment operation status of the office through the digital twin model and remotely control the equipment operation parameters.

7. An electricity consumption management system based on real-time monitoring and automatic control, characterized in that, It includes a data collection module, a data transmission module, a power consumption control module, and a power consumption adjustment module; The data collection module is used to collect the power consumption data of each power consumption node in the office in real time through an intelligent electricity meter, and collect the environmental data of each area in the office in real time through an environmental sensor; The data transmission module is used to transmit the collected power consumption data and environmental data to the central data processing platform; The power consumption control module is used to use a rule engine to automatically execute control instructions based on preset rules; The power consumption adjustment module is used to dynamically adjust the operation status of equipment during peak power consumption or abnormal situations.

8. The power consumption management system based on real-time monitoring and automatic control according to claim 7, wherein: In the data collection module, it also includes a high-temperature power consumption detection unit, specifically: Based on real-time power consumption data and historical data, use time series analysis technology to identify peak power consumption periods; Combined with grid load data and electricity price information, predict future peak power consumption and generate warning information.

9. A computer-readable storage medium, characterized in that, A computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the steps of the power consumption management method based on real-time monitoring and automatic control described in any one of claims 1 to 6 are implemented.

10. A computer device, characterized in that, It includes a processor, a communication interface, a memory, and a communication bus. Among them, the processor, the communication interface, and the memory complete mutual communication through the communication bus; where: The memory is used to store a computer program; The processor is used to execute the steps of the power consumption management method based on real-time monitoring and automatic control described in any one of claims 1 to 6 by running the program stored on the memory.

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