A smart energy data acquisition system

Abstract

The present invention discloses a smart energy data acquisition system, which relates to the field of data acquisition technology, including: a data acquisition module, a cloud storage module, a network transmission management module, an analysis module and a management module; the data acquisition module is used to collect the power, heat and hydraulic data of the equipment in the smart park, and upload the collected data to the network transmission management module; the network transmission management module analyzes the security of the current network, and uploads the collected data to the cloud storage module when it is safe; if the network environment is unsafe, the data is returned to the data acquisition module, and the danger information is sent for the management personnel to handle, and after the processing is completed, the data is continued to be uploaded. The present invention analyzes various types of energy data, comprehensively and meticulously understands the consumption status of various energy sources such as electricity, heat and water in the smart park, and provides strong support for the park management in making energy management decisions and planning the park energy development strategy.

Description

Technical Field

[0001] The present invention relates to the technical field of data acquisition, and in particular to a smart energy data acquisition system. Background Art

[0002] Smart energy is an energy development model that deeply integrates advanced information technologies such as the Internet of Things, big data, cloud computing, and artificial intelligence with traditional energy industries. It aims to achieve efficient production, precise distribution, rational use, and intelligent management of energy, so that the energy system has human-like "wisdom" and can flexibly make optimization decisions based on different needs and environmental factors. With the continuous development of the energy industry and the growing demand for efficient energy utilization and intelligent management, it is crucial to accurately, comprehensively, and in real time collect energy-related data. Traditional energy data collection methods often have many limitations and can only be used for a single energy type, such as collecting only electricity data or thermal data for simple metering. They lack the ability to collect comprehensive data from multiple energy sources, including electricity, gas, heat, and water energy, in all aspects of production, transmission, and use. As a result, it is impossible to grasp the overall operation status of the energy system. The transmission process is susceptible to interference, the transmission security is poor, and it is easy to be stolen by illegal personnel, resulting in data loss. In this regard, we propose a smart energy data collection system. Summary of the invention

[0003] In order to solve the above technical problems, a smart energy data acquisition system is provided. This technical solution solves the above problems.

[0004] To achieve the above objectives, the technical solution adopted by the present invention is: a smart energy data acquisition system, including: a data acquisition module, a cloud storage module, a network transmission management module, an analysis module and a management module;

[0005] The data acquisition module is used to collect power, heat and hydraulic data of equipment in the smart park, and upload the collected data to the network transmission management module;

[0006] The network transmission management module analyzes the security of the current network and uploads the collected data to the cloud storage module if it is safe. If the network environment is unsafe, the data is returned to the data collection module and the danger information is sent for management personnel to handle. After the processing is completed, the data is uploaded again.

[0007] The cloud storage module pre-processes the acquired data and then saves it;

[0008] The analysis module obtains the processed data from the cloud storage module for analysis and makes an assessment of the energy consumption of the smart park;

[0009] Based on the evaluation results, the management module conducts intelligent management and control of equipment within the smart park to reduce energy consumption.

[0010] Preferably, the data acquisition module includes an electric meter unit, a heat metering unit and a water level sensor unit. The electric meter unit is located at each power equipment in the smart park and is used to collect the electricity usage data of the power equipment; the heat metering unit is integrated with a temperature sensor to measure the inlet and outlet water temperatures of the heating pipe to obtain the heat data in the smart park; the water level sensor unit is located in the water tank in the smart park and is used to obtain the water level changes in the water tank to obtain the water usage data in the smart park.

[0011] Preferably, the network transmission management module includes a vulnerability scanning unit, a traffic analysis unit and an information sending unit. The vulnerability scanning unit is used to scan vulnerabilities in the current network environment, the traffic analysis unit is used to analyze the traffic conditions in the current network environment, and the information sending unit is used to send abnormal information to alert management personnel; the vulnerability scanning unit detects vulnerabilities in the network environment, searches for existing vulnerabilities from multiple dimensions, checks whether there are security vulnerabilities in routers, switches and firewall network infrastructure, and checks Web applications and database management systems to see whether there are SQL injection, cross-site scripting attacks and file upload vulnerabilities.

[0012] Preferably, the traffic analysis unit understands the normal operating behavior characteristics of various types of applications running in the network, including the interaction methods with other programs, the calls to system resources, and the generated network traffic patterns. When the behavior of the application exceeds the normal range, it is determined that there is a security risk and it is abnormal application behavior. It is determined that the current network environment is abnormal, and the information sending unit sends an alarm message. After receiving the alarm message, the management personnel will promptly detect and process the network.

[0013] Preferably, the cloud storage module preprocesses the data including data cleaning, integrity check and format unification, and stores the preprocessed data.

[0014] Preferably, the analysis module includes an evaluation analysis of power consumption, thermal energy consumption and hydraulic energy consumption in the smart park. The power consumption evaluation analysis is based on the overall power consumption evaluation, and the evaluation formula is:

[0015]

[0016] Where Edz represents the total power consumption of the smart park per unit time, E i is the power of the ith electrical device, t i is the power consumption time of the i-th power-consuming device, and n is the total number of power-consuming devices. By summing the product of the power and power consumption time of each part in the park, the overall power consumption of the entire park in the corresponding time period is obtained. The year-on-year and month-on-month power consumption is calculated:

[0017]

[0018] Among them, Cdt represents the year-on-year growth rate of electricity consumption, Cdh represents the month-on-month growth rate of electricity consumption, Edzb represents the total electricity consumption of the park in the current statistical time period, Edzq represents the total electricity consumption in the same time period last year, and Edzs represents the total electricity consumption in the previous adjacent statistical time period. Through year-on-year and month-on-month analysis, we can see the changing trend of the park's electricity consumption over time, understand whether it is increasing or decreasing and the magnitude of the change, and discover the effectiveness or problems of the park in power management.

[0019] Preferably, the thermal energy consumption evaluation analysis formula is:

[0020]

[0021] Where Qrz is the total thermal energy consumption per unit time in the smart park, q j is the thermal power of the jth heating equipment, t j is the heating time of the jth heating equipment, m is the total number of heating equipment, and the year-on-year and month-on-month calculation and analysis are based on the same energy consumption. By analyzing the changes in thermal energy consumption on a year-on-year and month-on-month basis, the park managers can grasp the dynamic trend of thermal energy use, and then optimize and adjust the operating efficiency and heating strategy of the heating system.

[0022] Preferably, the hydraulic energy consumption evaluation formula is:

[0023]

[0024] Where Wsz represents the total water consumption per unit time in the smart park, w k is the kth water-using link, t k The water usage duration of the kth water use link. For different water use scenarios in the park, the water flow and water use duration are counted and accumulated to calculate the total hydraulic energy consumption. The hydraulic energy consumption data are calculated and analyzed based on the same energy consumption year-on-year and month-on-month to help park managers understand the changes in hydraulic energy consumption over time, so as to make reasonable adjustments and optimizations to the water use management, water-saving measures and water supply system operation in the park.

[0025] Preferably, the management module includes a policy formulation unit, a communication unit, an execution unit and a feedback unit. The policy formulation unit gives the future energy usage strategy of the smart park based on the analysis results of the analysis module. The communication unit is responsible for establishing communication connections with various types of equipment in the park to ensure that the management module can obtain the operating status information of the equipment in real time and send control instructions to the equipment.

[0026] Preferably, the execution unit is responsible for sending the made decisions to the corresponding device, driving the device to perform the corresponding operation, and receiving feedback information in real time after the device executes the instruction. The feedback unit is used to confirm whether the device has completed the operation as required and whether the operating status after the operation is normal. If an abnormal situation occurs, the information is promptly fed back to the strategy formulation unit to re-evaluate and adjust the management and control strategy.

[0027] Compared with the prior art, the present invention has the following beneficial effects:

[0028] By analyzing the security of the current network, the present invention can timely identify whether the network environment is safe and reliable, avoid rashly uploading data under unsafe network conditions, prevent data from being stolen, tampered with or lost during transmission, obtain various types of energy data, analyze various types of energy data, and comprehensively and carefully understand the consumption status of various energy sources such as electricity, heat, and water in the smart park, providing strong support for the park management in making energy management decisions and planning the park's energy development strategy. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Figure 1 This is a framework diagram of the acquisition system of the present invention. DETAILED DESCRIPTION

[0030] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments described below are only examples, and those skilled in the art may think of other obvious variations.

[0031] Reference Figure 1 As shown, a smart energy data acquisition system includes: a data acquisition module, a cloud storage module, a network transmission management module, an analysis module and a management module;

[0032] The data acquisition module is used to collect power, heat and hydraulic data of equipment in the smart park, and upload the collected data to the network transmission management module;

[0033] The network transmission management module analyzes the security of the current network and uploads the collected data to the cloud storage module if it is safe. If the network environment is unsafe, the data is returned to the data collection module and the danger information is sent for management personnel to handle. After the processing is completed, the data is uploaded again.

[0034] The cloud storage module pre-processes the acquired data and then saves it;

[0035] The analysis module obtains the processed data from the cloud storage module for analysis and makes an assessment of the energy consumption of the smart park;

[0036] Based on the evaluation results, the management module conducts intelligent management and control of equipment within the smart park to reduce energy consumption.

[0037] This application can timely identify whether the network environment is safe and reliable by analyzing the security of the current network, avoid uploading data rashly under unsafe network conditions, and prevent data from being stolen, tampered with or lost during transmission. When the park faces network attacks, network vulnerabilities or network instability and insecurity factors, the network transmission management module will play a role and suspend data upload, thus ensuring the confidentiality, integrity and availability of data;

[0038] By using professional data analysis methods and technologies, and obtaining processed data from the cloud storage module for in-depth analysis, we can fully and meticulously understand the consumption of various energy sources such as electricity, heat, and water in the smart park. We can not only calculate the overall energy consumption, but also analyze the energy consumption distribution patterns of different regions, different time periods, and different equipment. For example, we can find the peak power consumption of a high-energy-consuming building in the park during the peak period of summer electricity consumption, or the heat loss of a certain heat pipe network at different stages of the heating season, providing accurate data basis for the energy management of the park;

[0039] Based on the energy consumption evaluation results given by the analysis module, the management module conducts intelligent management and control of the equipment in the smart park. It can dynamically adjust the operating parameters and switch status of the equipment according to the actual energy usage and park operation needs. According to the peak and valley prices of electricity and energy consumption in different time periods, it can reasonably arrange the operation time of high-energy-consuming production equipment, so that it can work more during the valley electricity price period and reduce electricity costs; or according to the personnel flow and heat demand in different areas, it can accurately adjust the heating and cooling capacity of heating and air-conditioning equipment to avoid excessive energy supply, improve energy utilization efficiency, and achieve the energy conservation and emission reduction goals of the park.

[0040] The data acquisition module includes an electric meter unit, a heat metering unit and a water level sensor unit. The electric meter unit is located at each power equipment in the smart park and is used to collect the electricity usage data of the power equipment. The heat metering unit is integrated with a temperature sensor to measure the inlet and outlet temperatures of the heating pipe to obtain the heat data in the smart park. The water level sensor unit is located in the water tank in the smart park and is used to obtain the water level changes in the water tank to obtain the water usage data in the smart park.

[0041] This application deploys electric meter units at various power equipment in the smart park, and can accurately collect electricity usage data for each device. The temperature sensor integrated in the heat metering unit measures the inlet and outlet temperatures of the heating pipes, and then obtains the heat data in the park. This enables the park's heating management to shift from the previous extensive to refined. The water level sensor unit is located in the water tank in the park. The water level change in the water tank is obtained in real time to grasp the park's water use data, which is crucial for the park's water use management.

[0042] The network transmission management module includes a vulnerability scanning unit, a traffic analysis unit and an information sending unit. The vulnerability scanning unit is used to scan vulnerabilities in the current network environment, the traffic analysis unit is used to analyze the traffic conditions in the current network environment, and the information sending unit is used to send abnormal information to alert management personnel; the vulnerability scanning unit detects vulnerabilities in the network environment, searches for existing vulnerabilities from multiple dimensions, checks whether there are security vulnerabilities in routers, switches and firewall network infrastructure, and checks Web applications and database management systems to see if there are SQL injection, cross-site scripting attacks and file upload vulnerabilities.

[0043] This application can detect vulnerabilities in routers, switches and firewall network infrastructure, and can discover potential security risks before hackers or malicious attackers exploit these vulnerabilities to launch attacks. By analyzing the traffic situation in the current network environment, it can clearly understand the traffic size, direction and traffic type information in different areas, different business systems and different time periods in the park. When the network is attacked, abnormal traffic changes often occur, such as a sudden surge in traffic and a large number of abnormal request traffic from specific source IP addresses. The traffic analysis unit can keenly capture these abnormal traffic characteristics and quickly determine the existing security threats by real-time monitoring and analysis of the traffic situation.

[0044] The traffic analysis unit aims at various applications running in the network to understand their normal operating behavior characteristics, including the interaction methods with other programs, the calls to system resources, and the generated network traffic patterns. When the behavior of the application exceeds the normal range, it is judged that there is a security risk and it is abnormal application behavior. It is judged that the current network environment is abnormal, and the information sending unit sends an alarm message. After receiving the alarm message, the management personnel will promptly detect and handle the network.

[0045] This application can also help optimize network resource allocation strategies by long-term monitoring of the normal operating behavior characteristics of applications and timely handling of abnormal situations. Each time the traffic analysis unit discovers abnormal application behavior and is handled by management personnel, it is an opportunity to accumulate network security management experience. Based on the monitoring and handling of abnormal application behavior, the campus network management department can optimize and adjust the application access, use, and update management strategies.

[0046] The cloud storage module preprocesses data including data cleaning, integrity check and format unification, and stores the preprocessed data.

[0047] The analysis module includes the evaluation and analysis of power consumption, thermal energy consumption and hydraulic energy consumption in the smart park. The power consumption evaluation and analysis is based on the overall power consumption evaluation. The evaluation formula is:

[0048]

[0049] Where Edz represents the total power consumption of the smart park per unit time, E i is the power of the ith electrical device, t i is the power consumption time of the i-th power-consuming device, and n is the total number of power-consuming devices. By summing the product of the power and power consumption time of each part in the park, the overall power consumption of the entire park in the corresponding time period is obtained. The year-on-year and month-on-month power consumption is calculated:

[0050]

[0051] Among them, Cdt represents the year-on-year growth rate of electricity consumption, Cdh represents the month-on-month growth rate of electricity consumption, Edzb represents the total electricity consumption of the park in the current statistical time period, Edzq represents the total electricity consumption in the same time period last year, and Edzs represents the total electricity consumption in the previous adjacent statistical time period. Through year-on-year and month-on-month analysis, we can see the changing trend of the park's electricity consumption over time, understand whether it is increasing or decreasing and the magnitude of the change, and discover the effectiveness or problems of the park in power management.

[0052] The thermal energy consumption evaluation and analysis formula is:

[0053]

[0054] Where Qrz is the total thermal energy consumption per unit time in the smart park, q j is the thermal power of the jth heating equipment, t jis the heating time of the jth heating equipment, m is the total number of heating equipment, and the year-on-year and month-on-month calculation and analysis are based on the same energy consumption. By analyzing the changes in thermal energy consumption on a year-on-year and month-on-month basis, the park managers can grasp the dynamic trend of thermal energy use, and then optimize and adjust the operating efficiency and heating strategy of the heating system.

[0055] In this application, both the thermal energy consumption assessment and the hydraulic energy consumption assessment use year-on-year and month-on-month energy consumption for calculation and analysis, so the calculation formula is the same, which has been described above and will not be expressed here.

[0056] The formula for evaluating hydraulic energy consumption is:

[0057]

[0058] Where Wsz represents the total water consumption per unit time in the smart park, w k is the kth water-using link, t k The water usage duration of the kth water use link. For different water use scenarios in the park, the water flow and water use duration are counted and accumulated to calculate the total hydraulic energy consumption. The hydraulic energy consumption data are calculated and analyzed based on the same energy consumption year-on-year and month-on-month to help park managers understand the changes in hydraulic energy consumption over time, so as to make reasonable adjustments and optimizations to the water use management, water-saving measures and water supply system operation in the park.

[0059] The management module includes a policy-making unit, a communication unit, an execution unit and a feedback unit. The policy-making unit gives the future energy usage strategy of the smart park based on the analysis results of the analysis module. The communication unit is responsible for establishing communication connections with various devices in the park to ensure that the management module can obtain the operating status information of the equipment in real time and send control instructions to the equipment.

[0060] The strategy formulation unit of this application formulates future energy use strategies based on the analysis results of the energy consumption of the smart park by the analysis module. This enables the strategy to closely fit the actual energy use characteristics and needs of the park. Through the analysis module, the power, thermal and hydraulic energy consumption patterns of different areas in the park (such as production workshops, office buildings, and dormitory areas) in different seasons and time periods are known. The strategy formulation unit can formulate targeted zoning and time-sharing energy control strategies. For the high energy consumption of the production workshop during peak production periods, a reasonable equipment scheduling plan can be planned to balance energy consumption and production progress; in view of the fact that office buildings basically do not require heating at night, a strategy is formulated to reduce heating intensity at night, so as to achieve accurate energy allocation, avoid energy waste, and ensure that the energy supply matches the actual usage needs of various areas and time periods in the park.

[0061] The execution unit is responsible for sending the decisions made to the corresponding devices, driving the devices to perform corresponding operations, and receiving feedback information in real time after the devices execute instructions. The feedback unit is used to confirm whether the devices have completed the operations as required and whether the operating status after the operations is normal. If any abnormal situation occurs, the information will be fed back to the strategy formulation unit in a timely manner to re-evaluate and adjust the management and control strategies.

[0062] Based on the energy consumption assessment results given by the analysis module, this application uses the management module to intelligently control the equipment in the smart park. It can dynamically adjust the operating parameters and switch status of the equipment according to the actual energy usage and park operation needs, and reasonably arrange the operating time of high-energy-consuming production equipment according to the peak and valley prices of electricity and energy consumption in different time periods, so that it can work more during the valley electricity price period and reduce electricity costs; or accurately adjust the heating and cooling capacity of heating and air-conditioning equipment according to the personnel flow and thermal demand in different areas to avoid excessive energy supply, improve energy utilization efficiency, and achieve the park's energy conservation and emission reduction goals. By real-time monitoring of the equipment's operating status and energy consumption feedback information, the management module can promptly discover abnormal energy consumption of the equipment, take measures in advance to perform equipment maintenance, troubleshooting or adjust the operating mode, ensure that the equipment is always in an efficient and energy-saving operating state, reduce energy waste caused by equipment failure or unreasonable operation, extend the service life of the equipment, and reduce the cost investment of the equipment throughout its life cycle.

[0063] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments, and the above embodiments and descriptions only describe the principles of the present invention. The present invention may be subject to various changes and improvements without departing from the spirit and scope of the present invention, and these changes and improvements fall within the scope of the present invention claimed.

Claims

1. A smart energy data acquisition system, characterized in that: include: Data collection module, cloud storage module, network transmission management module, analysis module and management module; The data acquisition module is used to collect power, heat and hydraulic data of equipment in the smart park, and upload the collected data to the network transmission management module; The network transmission management module analyzes the security of the current network and uploads the collected data to the cloud storage module if it is safe. If the network environment is unsafe, the data is returned to the data collection module and the danger information is sent for management personnel to handle. After the processing is completed, the data is uploaded again. The cloud storage module pre-processes the acquired data and then saves it; The analysis module obtains the processed data from the cloud storage module for analysis and makes an assessment of the energy consumption of the smart park; Based on the evaluation results, the management module conducts intelligent management and control of equipment within the smart park to reduce energy consumption.

2. A smart energy data acquisition system according to claim 1, characterized in that: The data collection module includes an electric meter unit, a heat metering unit, and a water level sensor unit. The electric meter unit is located at each power device in the smart park and is used to collect the power usage data of the power device. The heat metering unit is integrated with a temperature sensor to measure the inlet and outlet temperatures of the heating pipes to obtain heat data within the smart park. The water level sensing unit is located in the water tank within the smart park to obtain water level changes in the water tank to obtain water usage data within the smart park.

3. The smart energy data acquisition system according to claim 1, characterized in that: The network transmission management module includes a vulnerability scanning unit, a traffic analysis unit and an information sending unit. The vulnerability scanning unit is used to scan vulnerabilities in the current network environment, the traffic analysis unit is used to analyze the traffic conditions in the current network environment, and the information sending unit is used to send abnormal information to alert management personnel; the vulnerability scanning unit detects vulnerabilities in the network environment, searches for existing vulnerabilities from multiple dimensions, checks whether there are security vulnerabilities in routers, switches and firewall network infrastructure, and checks Web applications and database management systems to see if there are SQL injection, cross-site scripting attacks and file upload vulnerabilities.

4. A smart energy data acquisition system according to claim 3, characterized in that: The traffic analysis unit aims at various applications running in the network to understand their normal operating behavior characteristics, including the interaction methods with other programs, the calls to system resources, and the generated network traffic patterns. When the behavior of the application exceeds the normal range, it is judged that there is a security risk and it is abnormal application behavior. It is judged that the current network environment is abnormal, and the information sending unit sends an alarm message. After receiving the alarm message, the management personnel will promptly detect and handle the network.

5. The smart energy data acquisition system according to claim 1, characterized in that: The cloud storage module preprocesses data including data cleaning, integrity check and format unification, and stores the preprocessed data.

6. The smart energy data acquisition system according to claim 1, characterized in that: The analysis module includes the evaluation and analysis of power consumption, thermal energy consumption and hydraulic energy consumption in the smart park. The power consumption evaluation and analysis is based on the overall power consumption evaluation. The evaluation formula is: Where Edz represents the total power consumption of the smart park per unit time, E i is the power of the ith electrical device, t i is the power consumption time of the ith power-consuming device, and n is the total number of power-consuming devices. By summing the product of the power and power consumption time of each part in the park, the overall power consumption of the entire park in the corresponding time period is obtained. The year-on-year and month-on-month power consumption is calculated: Among them, Cdt represents the year-on-year growth rate of electricity consumption, Cdh represents the month-on-month growth rate of electricity consumption, Edzb represents the total electricity consumption of the park in the current statistical time period, Edzq represents the total electricity consumption in the same time period last year, and Edzs represents the total electricity consumption in the previous adjacent statistical time period. Through year-on-year and month-on-month analysis, we can see the changing trend of the park's electricity consumption over time, understand whether it is increasing or decreasing and the magnitude of the change, and discover the effectiveness or problems of the park in power management.

7. A smart energy data acquisition system according to claim 6, characterized in that: The thermal energy consumption evaluation and analysis formula is: Where Qrz is the total thermal energy consumption per unit time in the smart park, q j is the thermal power of the jth heating equipment, t j is the heating time of the jth heating equipment, m is the total number of heating equipment, and the year-on-year and month-on-month calculation and analysis are based on the same energy consumption. By analyzing the changes in thermal energy consumption on a year-on-year and month-on-month basis, the park managers can grasp the dynamic trend of thermal energy use, and then optimize and adjust the operating efficiency and heating strategy of the heating system.

8. The smart energy data acquisition system according to claim 6, characterized in that: The formula for evaluating hydraulic energy consumption is: Where Wsz represents the total water consumption per unit time in the smart park, w k is the kth water-using link, t k The water usage duration of the kth water use link. For different water use scenarios in the park, the water flow and water use duration are counted and accumulated to calculate the total hydraulic energy consumption. The hydraulic energy consumption data are calculated and analyzed based on the same energy consumption year-on-year and month-on-month to help park managers understand the changes in hydraulic energy consumption over time, so as to make reasonable adjustments and optimizations to the water use management, water-saving measures and water supply system operation in the park.

9. The smart energy data acquisition system according to claim 1, characterized in that: The management module includes a policy-making unit, a communication unit, an execution unit and a feedback unit. The policy-making unit gives the future energy usage strategy of the smart park based on the analysis results of the analysis module. The communication unit is responsible for establishing communication connections with various devices in the park to ensure that the management module can obtain the operating status information of the equipment in real time and send control instructions to the equipment.

10. A smart energy data acquisition system according to claim 9, characterized in that: The execution unit is responsible for sending the decisions made to the corresponding devices, driving the devices to perform corresponding operations, and receiving feedback information in real time after the devices execute instructions. The feedback unit is used to confirm whether the devices have completed the operations as required and whether the operating status after the operations is normal. If any abnormal situation occurs, the information will be fed back to the strategy formulation unit in a timely manner to re-evaluate and adjust the management and control strategies.

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