15 results about "Energy statistics" patented technology

1. Name of the product of this design: Smart energy management graphical user interface for electronic devices. 2. Purpose of this design product: for use in an electronic device. 3. The design highlights of this design product are: the graphical user interface in the display screen panel of the electronic device. 4. The picture or photo that best illustrates the key points of the design: main view. 5.Purpose of the graphical user interface: It is used for real-time monitoring of household energy power supply station equipment, visual display of energy data and benefits, and management of energy on the household power generation, storage and consumption sides. 6. The area of ​​the graphical user interface in the product: display screen. 7. Other situations that require explanation Reference diagrams: The main view interface is the homepage interface after the mobile terminal logs in to the client, which is used to show the user the power supply status of the household energy power supply station equipment, photovoltaic power generation, energy storage, load, power generation income and energy statistics; when the load of the residence to which the household energy power supply station equipment belongs is in use, the main view changes to the use status reference diagram; sliding up on the main view interface presents interface change status diagram 1, which is used to display data such as energy statistics and environmental protection benefits of household energy power supply station equipment; clicking the analysis icon at the bottom of the interface on interface change status diagram 1 presents Interface change state diagram 2, interface change state diagram 2 is used to display the energy analysis data of household energy power supply station equipment, mainly displaying the data of power generation and power consumption, power generation power and power consumption data in the energy analysis data, etc.; sliding up the interface of interface change state diagram 2 presents interface change state diagram 3, interface change state diagram 3 is used to continue to display the energy analysis data of household energy power supply station equipment, and on the basis of displaying the data of power generation and power consumption in the energy analysis data, also displays the power generation analysis data in the energy analysis data; sliding up the interface of interface change state diagram 3 presents interface change state diagram 4, the interface changes State diagram 4 is used to continue to display the energy analysis data of the household energy power supply station equipment. On the basis of displaying the power generation analysis data in the energy analysis data, the power consumption analysis data in the energy analysis data is also displayed. Slide up the interface of interface change state diagram 4 to present interface change state diagram 5. Interface change state diagram 5 is used to continue to display the energy analysis data of the household energy power supply station equipment. On the basis of displaying the power consumption analysis data in the energy analysis data, the grid input and output data in the energy analysis data are also displayed. Slide up the interface of interface change state diagram 5 to present interface change state diagram 6. Interface change state diagram 6 is used to continue to display the household energy power supply station equipment. The energy analysis data of the household energy power supply station equipment mainly displays the grid input and output data in the energy analysis data; sliding upward on the interface of interface change state diagram 6 presents interface change state diagram 7, which is used to continue to display the energy analysis data of the household energy power supply station equipment, mainly displays the battery charge and discharge data in the energy analysis data; sliding upward on the interface of interface change state diagram 7 presents interface change state diagram 8, which is used to continue to display the energy analysis data of the household energy power supply station equipment, and on the basis of displaying the battery charge and discharge data in the energy analysis data, also displays the battery remaining power data in the energy analysis data.

The present invention provides a method for calculating urban carbon emissions based on nighttime light remote sensing and improved STIRPAT, comprising the following steps: processing nighttime light remote sensing data; then constructing a city development factor CDE (City Development Element) for provincial and municipal regions; using provincial statistical yearbook data to construct an improved STIRPAT; obtaining a model intercept term through a panel data regression model, and inverting carbon emissions at the municipal scale. The present invention proposes a city development factor CDE constructed based on nighttime light remote sensing data, which solves the problem of inconsistent caliber and missing data items of energy statistical data at the municipal scale, and can more accurately invert carbon emissions from provincial scale to municipal scale, thereby improving calculation accuracy.

The invention discloses an urban carbon emission oxygen consumption estimation system and an estimation method thereof, and belongs to the technical field of carbon emission, and the estimation system comprises S1, data acquisition: S11, an energy consumption data module obtains consumption data of various types of energy from an urban energy supply department, and transmits the consumption data to an urban electric power company through a data interface with the urban electric power company; acquiring electricity consumption of each region in each month in real time, and acquiring supply data of natural gas from a gas company; for energy sources such as coal and petroleum, the consumption of industrial coal, resident coal and various oil products in cities is counted; and S12, a population data module which cooperates with an urban statistical bureau to obtain population quantity, population structure and employment distribution information of the city and obtain population density data of each district and county. The actual conditions of urban carbon emission and oxygen consumption can be reflected more accurately by comprehensively considering the effects of human activities and ecological systems in cities and performing refined estimation by using multi-source data.

With the continuous increase of the access number and the number of the double-fed wind power plants, the complex fault characteristics of the double-fed wind power plants challenge traditional relay protection, so that the performance of the traditional relay protection method is reduced, and even operation refusal occurs. In order to solve the problem, the invention discloses a protection method based on energy statistics. According to the protection method, the difference between current sequences at the two ends is reflected through improved energy statistics, energy coefficients are constructed to recognize internal and external faults, and excellent reliability is shown in the face of various internal faults on a series compensation sending-out line of the doubly-fed wind power plant. In addition, linear energy is utilized to construct a proportion coefficient, so that the endurance capacity of the protection method to interference factors such as CT saturation, CT errors and abnormal values is improved.

The invention relates to the technical field of oil and gas field energy management and control, in particular to an oil and gas field energy management and control system and an energy-saving optimization method. The oil and gas field energy management and control system comprises an energy performance parameter monitoring and early warning module, an energy statistics and analysis module, an energy performance assessment module, an energy saving optimization and scheduling management module and an energy measuring instrument management module which are connected to an energy management and control comprehensive module. According to the method, key energy consumption equipment and energy consumption units of oil and gas field enterprises can be monitored more accurately and comprehensively, the accuracy and comprehensiveness of energy consumption data of the energy consumption equipment are improved by adding a transverse comparison method and a longitudinal comparison method, an energy consumption optimization scheme is provided, the requirements of the oil and gas field enterprises for accurate management and control of energy, cost reduction and efficiency improvement are met, and the economic benefits of the oil and gas field enterprises are improved. And oil and gas field enterprises are helped to realize the purposes of energy management, energy conservation, consumption reduction, cost reduction and production benefit improvement.

The present invention discloses a method for evaluating greenhouse gas fluxes in a two-dimensional urban canopy, which relates to the technical field of evaluating greenhouse gas fluxes at the regional scale and is used to estimate the regional atmospheric greenhouse gas fluxes with high temporal resolution. This technology can solve the problem in the traditional method that the bottom-up estimation of the IPCC is highly dependent on the accuracy and comprehensiveness of the energy statistical data itself, while most cities still do not have the conditions to use this method. The present invention integrates multi-source meteorological environment observation data such as greenhouse gas in-situ observation data, wind profiler radar data, microwave radiometer data, and ground meteorological station data from the perspective of atmospheric observation, conducts quality control, constructs a high-precision data set, estimates the horizontal greenhouse gas concentration gradient and vertical fluxes in the urban canopy based on a two-dimensional box model, and provides a new solution for regional carbon budget detection.

The invention relates to an energy optimization system comprising an energy demand prediction module which is used for performing prediction processing on basic data and energy statistical historical data by a machine learning prediction method and a traditional prediction method to obtain an energy demand prediction value and a carbon emission prediction value; the energy system optimization module is used for obtaining an optimal energy structure by taking the lowest total carbon emission and the lowest total energy consumption cost as targets and obtaining an electric power installation structure by taking the lowest total electric power installation cost as a target according to the energy demand predicted value and the planning boundary parameter; according to the method, the ARIMA, the regression model and the traditional unit GDP energy consumption method are fused to predict the energy demand, and a data foundation is laid for high-credibility subsequent optimization; meanwhile, modeling is explicitly performed, the multi-objective problem of cost minimization and carbon emission minimization is solved, a scientific and transparent decision basis is provided for a user, and the win-win situation of economical efficiency and environmental protection is helped to be achieved.

The evolution of mobile networks marks a significant leap in communication technologies, driven by the demand for high data rates, ultra-low latency, and enhanced connectivity. A key enabler in 5G is the adoption of Micro Service Based Architecture. Microservice Based Architecture decomposes the complex functionality of 5G Core Network into smaller Network Functions (NFs) that are microservice-based. Microservices provide numerous advantages such as ease of distribution and isolated updates. One of the biggest advantages of microservices is scalability and fault tolerance. But when we look at the future mobile network one alarming concern is sustainability. The energy consumed by these mobile networks is enormous along with that add up the CO2 emissions. An Energy Optimization Controller (EOC) collects energy statistics for the Network per slice / QoS / NF / UE level. It calculates energy efficiency and optimizes by dynamically managing the network.

The invention discloses an energy statistical method based on a multi-scale tree-shaped organization structure. The method comprises the following steps: taking different energy sources as statistical scales according to energy source types; based on the hierarchical relationship of the energy consumption subitems, energy consumption subitem statistical trees of different energy types are constructed, and each energy consumption subitem statistical tree corresponds to one energy type; constructing an energy consumption unit statistical tree based on the hierarchical relationship of the energy statistical units; configuring an affiliation relationship between the statistical instrument and the energy type, the energy sub-item and the energy statistical unit, and establishing a relationship model; and finally, on the basis of data acquired by the statistical instrument, respectively counting the energy consumption data of each energy consumption unit for any energy type and the energy consumption data of different energy sub-items in any set range by a calculation unit according to the relation model, and generating different energy consumption statistical meters. According to the invention, multi-scale statistics of energy consumption can be realized, and the fineness and accuracy of a statistical result are improved.

1. The name of the design product: warm and multi-energy management graphical user interface of electronic equipment. 2. The use of the design product: for an electronic device. 3. The design points of the design product: the interface content of the graphical user interface. 4. The picture or photo that best indicates the design points: front view. 5. The use of the graphical user interface: the design graphical user interface is used for warm and multi-energy management. The front view is a warm and multi-energy management display page, which is used to show the heating, cooling and hot water conditions of the whole house. The left side of the interface displays the water use, cooling and heating of the whole house and the equipment status. The user can set the cooling and heating switches of the corresponding floor by clicking the floor and switch under the cooling and heating of the whole house. The middle part of the interface displays the system cumulative data and the visual operation of the system. The user can set the corresponding function by clicking the related button at the bottom of the interface. The right side of the interface displays the operation record and strategy, energy statistics and proactive service. The user can also handle related matters by clicking "go to handle" under proactive service. 6. Other circumstances that need to be explained: "××" in the interface represents variable text or numbers, and single gray blocks represent content pictures.

The invention discloses a multi-dimensional constellation probability shaping method based on dimensional energy statistics and entropy constraint, which belongs to the technical field of communication and comprises the following steps: acquiring coordinates of constellation points to perform statistical analysis on energy distribution characteristics of each dimension to obtain energy statistics of each dimension so as to construct a dimensional weight; on the basis of the dimension weights and coordinate components of the constellation points on all dimensions of the multi-dimensional modulation constellation, constructing dimension weighted energy measurement of the constellation points, providing a probability mapping function for constructing the constellation points, mapping the dimension weighted energy measurement into probability weights of the constellation points, and normalizing the probability weights to obtain initial constellation point probability distribution; determining a search interval of a probabilistic shaping strength parameter under the constraint condition of the target information entropy; according to the initial constellation point probability distribution, information entropy is calculated, a search interval is updated, shaping intensity parameters meeting entropy constraints are searched, constellation point probability distribution is calculated, and the problem that the probability shaping effect is limited due to the fact that energy distribution of different dimensions in an existing multi-dimensional modulation constellation is unbalanced is solved.

1. Name of the Design Product: Home Energy Manager. 2. Use of the Design Product: For managing the internal energy scheduling, energy statistics, power data monitoring, etc. of a home. 3. Design Key Points of the Design Product: Lies in the shape. 4. Picture or Photograph that Best Illustrates the Design Key Points: Perspective view.

The invention relates to the technical field of carbon accounting, in particular to a regional carbon emission real-time monitoring analysis processing method and system, and the method comprises the following steps: distributing a unique identifier for each region and economic industry classification combination according to a regional industry energy statistical report and a power consumption data record, and unifying the multiple data record timestamps to a preset time frequency. According to the method, the energy-electricity model is constructed, the stable internal correlation between power consumption and coal, oil and gas consumption in a specific industry in a specific area is quantified by solving the slope of the linear relation, fossil energy activity data which is difficult to obtain at high frequency in traditional carbon accounting is replaced by using power consumption data provided by a power grid system in real time, and the calculation efficiency is improved. Through the energy carbon model and the electric carbon model, direct emission generated by fossil fuel combustion of each department can be calculated in real time, indirect emission implied by net purchase of electric power can also be calculated, and the problems that an actual measurement method is high in cost and narrow in coverage are solved.

This invention relates to the field of renewable energy technology, and more particularly to a method and device for optimizing the configuration of a photovoltaic-energy storage-hydrogen production coupled system. The method includes: constructing a deterministic calculation process based on rules and statistical models to quickly establish a stable mapping between system configuration parameters and annual average cash flow; extracting statistical characteristics of photovoltaic output and electricity prices, enumerating system configuration parameters, and generating an input-output mapping sample set; designing a two-stage substitution calculation model with physical and economic constraints to approximate the annual energy statistics and economic mapping relationship in stages; and achieving rapid optimization of key configurations such as the number of hydrogen production tanks and energy storage parameters based on the synergistic mechanism of the substitution model and deterministic calculation. This method significantly improves the efficiency of configuration optimization, effectively handles scenarios with incomplete input information, ensures accurate and reliable optimization results, and is suitable for feasibility analysis and scheme comparison in the planning stage of photovoltaic-energy storage-hydrogen production systems, significantly improving the system's overall life-cycle economic efficiency.

The invention discloses an electric energy meter detection system for current direction switching, and relates to the technical field of electric power grids, the electric energy meter detection system comprises a detection center, the detection center is connected with an action acquisition module, a connection processing module, a direction analysis module and an intelligent regulation and control module; constructing a circuit global graph, and collecting detection preparation data; constructing a virtual power grid space based on the circuit global graph, and performing current flow processing on the detection preparation data to obtain current area flow; entity conversion and direction marking are carried out on the current area flow through the virtual power grid space, a direction current flow group is obtained, switching judgment is carried out according to the direction current flow group, and a direction switching timestamp is obtained; performing energy statistics on the basis of the direction switching timestamp to obtain direction consumed electric energy, and performing margin supplement calling on the direction consumed electric energy through the virtual power grid space to obtain a margin resource storage strategy; the accuracy of electric energy metering is improved, and the stability and reliability of a power system are enhanced.