41 results about "Energy conservation measure" patented technology

The invention relates to the technical field of energy management, in particular to a public building energy consumption auditing statistical splitting method and system, and the method comprises the following steps: obtaining the operation time, power data and load change rate of air conditioning, lighting, elevator and office equipment, calculating the power and load contribution rate of the equipment, and constructing an equipment operation characteristic matrix. According to the method, accurate energy consumption distribution and optimization are realized through subdivision analysis and power contribution rate adjustment based on equipment characteristics, the identification accuracy of abnormal energy consumption is improved through detailed analysis of equipment operation data, and energy consumption waste is effectively reduced through fine measures of load adjustment, so that the energy consumption is reduced, and the energy consumption is reduced. According to the optimization measure, the energy consumption distribution is more reasonable, the pertinence and the implementation effect of the energy-saving measure are enhanced, and the efficiency and the effect of energy management are remarkably improved.

The invention discloses a traction energy-saving method and system based on dynamic load flow calculation for rail transit, electronic equipment and a readable storage medium, and the traction energy-saving method comprises the steps: planning a multi-vehicle collaborative energy-saving module through an ATO single-vehicle energy-saving + ATS working diagram, a dynamic diagram adjustment module according to passenger flow requirements, a regenerative braking energy feedback module and other modules; multi-dimensional coupling conditions of power supply, vehicles, signals, tracks and the like are dynamically analyzed, dynamic load flow calculation is performed from the perspective of energy flow through a dynamic load flow calculation and analysis module of the traction power supply system, technical means such as ATO energy saving, ATS energy saving and regenerative braking energy recovery device energy saving are dynamically coordinated, unified management and cooperative linkage are performed, and the dynamic load flow calculation and analysis module of the traction power supply system is realized. Energy consumption monitoring and statistical analysis are carried out for different traction energy-saving measures, and long-term energy-saving operation effect tracking and evaluation are carried out; and an energy-saving control strategy is continuously adjusted and optimized according to an analysis result through a prediction model between line energy consumption and operation data variables, so that a better energy-saving effect in a real sense is achieved.

The invention discloses a hydraulic engineering operation and maintenance management system based on digital twinning, and relates to the technical field of hydraulic engineering operation and maintenance management, and the system comprises an operation and maintenance management center which is in communication connection with the following modules: a sensor network module which is used for deploying multiple types of sensors in key equipment and links of a hydraulic engineering, and is used for providing a communication network for the key equipment and links of the hydraulic engineering; an intelligent sensor network is formed, and equipment operation data and energy consumption data of hydraulic engineering equipment and links are obtained. Operation data and energy consumption data of hydraulic engineering equipment and links are acquired through the sensor network, energy consumption simulation is performed in combination with the virtual model, and energy consumption distribution and fluctuation conditions of hydraulic engineering under different operation conditions are visually displayed, so that managers can accurately master the energy consumption conditions of the equipment and links, and the management efficiency is improved. Energy consumption abnormal points are found in time, a powerful basis is provided for formulating targeted energy-saving measures, energy waste is effectively avoided, and the energy utilization efficiency is improved.

The invention discloses a simplified calculation method for boiler thermal efficiency, and mainly relates to the field of thermal equipment performance state monitoring, analysis and diagnosis. Comprising the following steps: S1, determining various heat losses of a boiler, and constructing an anti-balance calculation model of boiler heat efficiency; s2, determining the heat efficiency of the boiler; by simplifying the measurement steps and the calculation formula, the thermal efficiency of the boiler can be quickly estimated without a high-precision instrument. According to the method, key parameters such as the exhaust gas temperature and the oxygen content are selected, and the empirical formula is combined, so that the complexity of measurement and calculation is remarkably reduced. The system is suitable for daily monitoring and operation adjustment of the boiler, helps an enterprise to timely discover low-efficiency conditions and take energy-saving measures, and reduces the operation cost while improving the operation convenience.

The invention discloses an energy-saving control method and system based on a building group spatial form, and relates to the technical field of intelligent building energy-saving control, and the method comprises the steps: inputting a building form characteristic parameter matrix into a multi-scale generative adversarial network, respectively extracting the overall layout characteristics, local spacing characteristics and surface detail characteristics of a building group, and calculating the overall layout characteristics, local spacing characteristics and surface detail characteristics of the building group; generating an energy consumption probability distribution thermodynamic diagram corresponding to the building group space distribution; and inputting the energy consumption probability distribution thermodynamic diagram into a discriminator of the multi-scale generative adversarial network, calculating an optimization gradient of each building morphological parameter, and generating a morphological adjustment instruction set in combination with a dynamic constraint function. The method not only improves the accuracy of energy consumption prediction, but also can identify a high-energy-consumption area and provide targeted energy-saving measures. The problems that in the prior art, energy consumption prediction precision is limited, and it is difficult to efficiently convert into operable energy-saving measures are solved.

The invention discloses an enterprise energy efficiency evaluation and promotion model construction method based on electric power big data, and belongs to the field of data analysis. Comprising the steps of data collection; preprocessing the data; extracting characteristic indexes; constructing a model; evaluating and optimizing the model; and model interpretation application. Based on multi-dimensional electric power big data, an energy efficiency evaluation and improvement model is constructed, energy efficiency analysis and evaluation of key energy consumption enterprises are realized, the value of the electric power big data is fully mined, the enterprises are helped to understand own energy use efficiency, the energy efficiency improvement potential of the enterprises is mined, the enterprises are supported to formulate energy use strategies and energy saving measures, and the energy cost is reduced. And energy conservation, emission reduction and dual-carbon targets can be achieved. The method can be widely applied to the fields of power supply and consumption operation management and key energy consumption enterprise energy efficiency analysis and evaluation.

The invention relates to the technical field of energy management, in particular to a coking enterprise electric energy metering management method, which comprises the following steps of: forming a matrix metering network through an electric meter, a current sensor and a process control system deployed by a sensing layer; preprocessing the collected electric energy data through an edge computing gateway of the network layer and transmitting the electric energy data to the platform layer; the platform layer stores the electric energy data, performs correlation analysis in combination with the production data, and is used for completing dynamic calibration and peak-valley power consumption optimization; three-level electric energy metering management is completed in an application layer, and electric energy consumption, energy efficiency benchmarking and abnormal alarm information are displayed through a visual platform. The method has the advantages that step-by-step energy consumption monitoring and management from a whole plant to a workshop section to equipment are realized, links and equipment with high energy consumption can be accurately positioned, and a basis is provided for targeted energy-saving measures; and each level is clear in metering, and energy consumption indexes are decomposed layer by layer and are implemented to specific working sections and equipment, so that each level is clear to own energy consumption conditions.

A solar electric drainage device based on the Internet of Things technology comprises an electric drainage valve, a water conveying pipe, a liquid level switch, an I / O remote controller, an electric control box, a photovoltaic panel and a management cloud platform. The electric drain valve is connected with the steam pipe through the water conveying pipe, a liquid level switch is arranged on the water conveying pipe, the electric drain valve and the I / O remote controller are both installed in the electric control box, the photovoltaic panel is installed on the electric control box and used for providing power for equipment in the electric control box, the I / O remote controller is in control connection with the electric drain valve, and the management cloud platform is in monitoring connection with the I / O remote controller. The device is simple in structure, convenient to operate, capable of monitoring the working state and fault of equipment in real time, capable of mastering the drainage amount of the steam pipe network and estimating the heat loss of the pipe network through data analysis, capable of helping to formulate energy-saving measures, energy-saving, environment-friendly, flexible and practical.

A method includes receiving, by a distributed unit of an NG-RAN node (gNB-DU), a first message, the first message including a request for reporting an energy cost per network slice. The gNB-DU selects one or more user equipments (UEs), and transmits a second message to a central unit of the same NG-RAN node (gNB-CU), the second message including a report of the energy cost per network slice for the one or more UEs. The energy cost may be measured or predicted per UE and used to determine an energy saving action.

The invention relates to a method for assisting a driver (F) in driving a vehicle (104), wherein - fleet data (FD) relating to and influencing energy consumption of each fleet vehicle (101) (101.1 to 101.n) of a vehicle fleet (101) are transmitted to a central vehicle-external data processing device (105), - environment and / or infrastructure data (UID) describing the environment of the vehicle (104) and / or the respective fleet vehicle (101.1 to 101.n) are transmitted, - the fleet data (FD) and environment and / or infrastructure data (UID) are centralized and evaluated in the data processing device (105), - energy saving measures and associated driving recommendations (FE) for the operation of the vehicle (104) are determined by means of the data processing device (105), - the driving recommendations (FE) are issued inside the vehicle (104), - Driver's reactions (F) to the driving recommendations (FE) and resulting vehicle data relating to and influencing the vehicle's energy consumption (104) are recorded as feedback data (FBD) and - using the data processing device (105) to determine the effectiveness of the energy saving measures implemented by the driving recommendations (FE) based on the feedback data (FBD) and to take this into account in future determinations of energy saving measures.

The invention relates to the field of hotel management, in particular to an ESG index-based hotel data management system, which comprises a comprehensive management module and a plurality of guest room management modules, the comprehensive management module is connected with the plurality of guest room management modules, and each guest room is provided with one guest room management module; the guest room management module monitors guest room environment data and energy consumption data in real time, identifies guest check-in states and transmits the collected data to the comprehensive management module; and the comprehensive management module receives and judges the data transmitted by each guest room management module, takes energy-saving measures according to the judgment result, and transmits the control signal to the guest room management module to control the guest room management module to take the energy-saving measures. The technical problems that a traditional hotel is relatively dispersed in a data collection link and the subsequent analysis capability of collected data is insufficient are solved.

The application discloses an energy consumption monitoring method and system based on machine learning, and belongs to the technical field of data processing. The method can effectively avoid the problem of inaccurate identification caused by single data by acquiring multi-dimensional energy consumption related data corresponding to a to-be-monitored target. Machine learning training data is constructed according to the multi-dimensional energy consumption related data. The energy consumption prediction model is trained by using SLSPO based on the machine learning training data, which can effectively improve the identification accuracy of the energy consumption prediction model for data. Then, the trained energy consumption prediction model is used to identify the multi-dimensional energy consumption related data to be identified, and a future period energy consumption prediction value is obtained. Finally, energy consumption anomaly identification of the to-be-monitored target is performed according to the future period energy consumption prediction value, and energy consumption anomaly early warning is performed according to an energy consumption anomaly identification result obtained by energy consumption anomaly identification, thereby effectively improving the energy consumption anomaly monitoring accuracy and providing a strong reference for staff to implement energy-saving measures.

The present application provides an energy-saving method, device, equipment and storage medium for an electrostatic precipitator system, which are applied to the electrostatic precipitator system, and the method includes: obtaining an emission value indicating the outlet dust concentration of the electrostatic precipitator system and an energy consumption value indicating the power consumption of the electrostatic precipitator system; calculating the energy-saving space index of the electrostatic precipitator system according to the deviation of the emission value relative to the preset standard concentration, and the deviation of the energy consumption value relative to the rated power of the electrostatic precipitator system; the energy-saving space index is used to indicate the range of reduction of the power consumption of the electrostatic precipitator system under the condition of meeting the emission standards; determining and outputting the recommended energy-saving measures corresponding to the energy-saving space index. This scheme comprehensively considers the emission value and energy consumption value of the electrostatic precipitator system to give corresponding recommended energy-saving measures, avoiding the hidden danger of substandard emissions when energy-saving transformation is carried out considering only energy consumption.

The invention provides a digital twinning-oriented campus energy consumption intelligent management method, which comprises the following steps of: projecting data into a three-dimensional campus model by adopting a space mapping algorithm according to an obtained energy consumption data set, and determining a distribution position of a high-energy-consumption area; if the determined high-energy-consumption area exceeds a preset threshold value, real-time data fluctuation is analyzed through an anomaly positioning algorithm, and a potential anomaly source is judged; obtaining the judged abnormal source information, and decomposing the energy consumption level from a macroscopic panorama to a microscopic building by adopting a multi-level analysis method to obtain a layered visual structure; for the obtained structure, rendering a dynamic thermodynamic diagram through a visual expression technology to obtain a visual spatial distribution view; extracting functional characteristic data from the obtained view, generating an energy-saving measure suggestion for the building position by adopting a decision tree algorithm, and determining an optimization path; and through the determined optimization path, the feedback cycle of the energy consumption data set is updated, and a continuous monitoring intelligent management framework is obtained.

A radio network node, which may be a terrestrial node or a non-terrestrial node, may determine to implement network energy saving measures based on a determined energy parameter value being determined to violate a corresponding energy parameter criterion. The node may transmit to a user equipment a paging delegation indication indicative that, during a paging occasion delegation period, at least one lightly loaded source paging occasion associated with the user equipment is to be temporarily suspended and delegated to a target paging occasion that may not be associated with the user equipment. The node may sleep during a delegated source paging occasion and may broadcast a paging message directed to the user equipment via the target paging occasion. The user equipment may avoid waking up during the delegated source paging occasion and instead may monitor the target paging occasion for paging messages during the paging occasion delegation period.

A radio network node, which may be a terrestrial node or a non-terrestrial node, may determine to implement network energy saving measures based on a determined energy parameter value being determined to violate a corresponding energy parameter criterion. The node may transmit to a user equipment a paging delegation indication indicative that, during a paging occasion delegation period, at least one lightly loaded source paging occasion associated with the user equipment is to be temporarily suspended and delegated to a target paging occasion that may not be associated with the user equipment. The node may sleep during a delegated source paging occasion and may broadcast a paging message directed to the user equipment via the target paging occasion. The user equipment may avoid waking up during the delegated source paging occasion and instead may monitor the target paging occasion for paging messages during the paging occasion delegation period.

The system according to this embodiment aims to provide optimal energy-saving measures based on the user's lifestyle and local climate. [Solution] The system according to the embodiment comprises a learning unit, a suggestion unit, an update unit, and a visualization unit. The learning unit learns the user's lifestyle habits related to energy consumption. The suggestion unit presents optimal energy saving measures based on the information learned by the learning unit. The update unit periodically improves and updates the saving measures presented by the suggestion unit based on the season and local climate. The visualization unit visualizes the user's degree of energy saving achievement.

The present invention discloses a traction energy-saving method, system, electronic device and readable storage medium based on dynamic power flow calculation for rail transit. The traction energy-saving method dynamically analyzes multi-dimensional coupling conditions such as power supply, vehicles, signals and tracks through modules such as ATO single-vehicle energy saving + ATS operation diagram planning multi-vehicle collaborative energy saving module, dynamic diagram adjustment module according to passenger flow requirements and regenerative braking energy feedback module, and performs dynamic power flow calculation from the perspective of energy flow through the traction power supply system power flow dynamic calculation and analysis module, dynamically coordinates technical means such as ATO energy saving, ATS energy saving and regenerative braking energy recovery device energy saving, conducts unified management and collaborative linkage, performs energy consumption monitoring and statistical analysis for different traction energy-saving measures, and tracks and evaluates long-term energy-saving operation effects; and continuously optimizes energy-saving control strategies based on analysis results through a prediction model between line energy consumption and operation data variables, thereby achieving truly better energy-saving effects.

The invention discloses an energy-saving analysis and control method for an intelligent air conditioner, relates to the technical field of intelligent air conditioners, and solves the problem that energy consumption adjustment of a traditional air conditioner lacks a quantitative basis and a dynamic optimization mechanism. High-frequency common energy consumption abnormity time periods are locked, energy consumption characteristics are bound, mismatching of energy-saving resources is avoided, and it is ensured that the time periods to be regulated and controlled are energy consumption abnormity scenes occurring at high frequency in a historical period through quantitative verification that the cross proportion ZB is larger than or equal to 0.5, and accidental fluctuation is avoided. According to the precise positioning mode, invalid regulation and control over normal energy consumption time periods are avoided, omission of key abnormal time periods is also prevented, clear action targets are provided for subsequent energy saving measures, and the problems of energy consumption waste or temperature control failure caused by blind regulation and control are reduced from the source.

The invention provides a heat supply regulation and control method, device and equipment of a heat supply system and a medium, and the method comprises the steps: building a simulation model, combining a simulation analysis result and a knowledge graph to determine an energy-saving measure recommendation scheme, determining the energy-saving measure recommendation scheme, and determining the energy-saving measure recommendation scheme; and according to the simulation analysis result, the demand change data and the energy-saving measure recommendation scheme, a heat supply regulation and control scheme is determined, and a heat supply system is regulated and controlled according to the heat supply regulation and control scheme. The heat supply condition of each heat supply system is accurately analyzed, the heat consumption and the power consumption of each device of the heat supply system are accurately counted in combination with the knowledge graph, and effective energy consumption analysis and energy-saving regulation and control are carried out on the heat supply system.

The application discloses an energy-saving control method and system based on building group space form, relates to the technical field of intelligent building energy-saving control, and comprises the following steps: inputting a building form feature parameter matrix into a multi-scale generative adversarial network, respectively extracting overall layout features, local spacing features and surface detail features of the building group, and generating an energy consumption probability distribution heat map corresponding to the space distribution of the building group; inputting the energy consumption probability distribution heat map into a discriminator of the multi-scale generative adversarial network, calculating the optimization gradient of each building form parameter, and combining a dynamic constraint function to generate a form adjustment instruction set. The application not only improves the accuracy of energy consumption prediction, but also identifies high energy consumption areas and provides targeted energy-saving measures. The problems that the energy consumption prediction accuracy is limited and it is difficult to efficiently convert into operable energy-saving measures in the prior art are solved.

The application relates to the technical field of elevator energy-saving control, and particularly discloses an elevator energy-saving control method and control device based on a direct-current elevator, wherein the direct-current elevator comprises a direct-current frequency converter and a master control cabinet; the method comprises the following steps: obtaining feedback energy, and supplying power to the direct-current frequency converter based on the feedback energy and an external power supply; judging whether the direct-current elevator meets a preset resting state; if yes, controlling the master control cabinet to enter a low-power-consumption mode; in response to an external call signal, controlling the master control cabinet to exit the low-power-consumption mode; performing energy-saving analysis on an elevator car, generating an energy-saving control scheme, and performing energy-saving control operation on the elevator car based on the energy-saving control scheme. The main energy consumption in the elevator system during the operation of the elevator is analyzed, and corresponding energy-saving measures are taken, so that the energy consumption of the elevator system is effectively reduced, and the energy-saving requirement is met.

According to the boiler primary air system energy-saving benefit online evaluation method and device and the storage medium, when the energy-saving benefit of the primary air system is evaluated online, the current primary air pressure, the current primary air pressure offset and the current primary air fan power at the outlet of the fan after the primary air fan takes the energy-saving measures can be obtained; the accumulated commissioning duration of the energy-saving measures of the primary air system is obtained; and then, after the historical primary fan power before the primary fan implements the energy-saving measures is determined, the instantaneous electricity-saving quantity and the electricity-saving rate of the primary fan are calculated according to the current primary fan power and the historical primary fan power, and the energy-saving quantity and the energy-saving benefits obtained by implementing the energy-saving measures of the primary air system are calculated according to the instantaneous electricity-saving quantity and the accumulated commissioning duration. Therefore, the real-time energy-saving effect of the energy-saving measure can be obtained, the accumulated energy-saving benefit obtained by the energy-saving measure can be obtained, and the instantaneous energy-saving quantity and the energy-saving rate index of the primary air fan can be evaluated at the same time, so that the application benefit of the energy-saving measure is scientifically reflected.

To appropriately present an energy saving effect of an air conditioner.SOLUTION: An estimation device (10) including a control unit (101) executes a step of acquiring first information indicating an energy-saving effect obtained by applying an energy-saving measure to a first air conditioner (20-1), a step of estimating second information on a distribution of the energy-saving effect obtained by applying the energy-saving measure to a second air conditioner (20-2) based on the first information and operation data of the second air conditioner (20-2), and a step of outputting the second information.SELECTED DRAWING: Figure 3

The invention relates to the technical field of building construction, and particularly discloses a house building energy-saving construction method which comprises the following steps: 1) dividing a building structure into three engineering types of wall engineering, door and window engineering and roof engineering; (2) energy-saving measures are designed for the three types respectively; 2.1) constructing a thermal insulation layer by adopting thermal insulation mortar containing vitrified micro bubbles in wall engineering; (2.2) a door and window project adopts a composite sealing structure; 2.3) a layered energy-saving structure is adopted in roof engineering; and 3) aiming at the design of energy-saving measures, respectively carrying out energy-saving construction of the three types of projects. According to the invention, energy-saving measures are specifically provided from the three aspects of walls, doors, windows and roofs of the house to realize energy conservation of the house building, so that the energy-saving and environment-friendly effects of low resource consumption, high performance and quality, reduction of environmental pollution, prolonging of service life, recycling and reduction of emission of greenhouse gases such as CO2 are realized, and considerable economic and social benefits are achieved.

Disclosed in the present invention are a dynamic power flow calculation-based traction energy saving method for rail transit, a system, an electronic device, and a readable storage medium. According to the traction energy saving method, dynamic analysis is performed on multi-dimensional coupling conditions such as power supply, vehicles, signals, and tracks by means of modules such as an ATO single vehicle energy saving + ATS operation chart planning multi-vehicle coordinated energy saving module, a passenger flow requirement-based dynamic map adjustment module, and a regenerative braking energy feed module, dynamic power flow calculation is performed from the perspective of energy flow by means of a power flow dynamic calculation and analysis module of a traction power supply system, and techniques such as ATO energy saving, ATS energy saving, and energy saving using a regenerative braking energy recovery apparatus are dynamically coordinated, to perform unified management and coordinated linkage, so that energy consumption monitoring and statistical analysis are performed for different traction energy saving measures, to track and evaluate a long-term energy saving operation effect. By means of continuous adjustment and optimization of an energy saving control policy according to analysis results by a line energy consumption-operational data variable prediction model, an enhanced energy saving effect in real sense can be achieved.

The invention discloses a building indoor energy consumption intelligent measurement and calculation method, relates to the technical field of energy consumption measurement and calculation, and solves the technical problems that systematicness and accuracy are lacked, the energy consumption conditions of various devices in a building are difficult to comprehensively master, and the requirements of an energy management department for refined and efficient energy management cannot be met. According to the invention, the energy consumption of each device and the whole building can be accurately calculated by labeling the indoor devices, acquiring the power and the use time of the devices in detail and applying an accurate calculation formula, so that the standard unit energy consumption is obtained, the accuracy of energy consumption calculation is improved, and the energy consumption can be accurately calculated according to the set energy consumption threshold value, the preset proportion and the quantity threshold value. The system can systematically screen out super-consumption buildings, generate corresponding analysis signals, clearly judge the overall condition of building energy consumption in a region, provide rich and reliable data support for an energy management department to formulate accurate and effective energy-saving measures, and powerfully promote optimization of regional energy use efficiency.

Improved energy conservation, including realization of a ZNET (Zero Net Energy including Transportation) paradigm, can be encouraged by providing energy consumers with a holistic view of their overall energy consumption. Current energy consumption in terms of space heating, water heating, other electricity, and personal transportation can be modeled by normalizing the respective energy consumption into the same units of energy. Options for reducing energy that can include traditional energy efficiencies, such as cutting down on and avoiding wasteful energy use and switching to energy efficient fixtures, and improving the thermal efficiency and performance of a building, can be modeled. Additional options can also include non-traditional energy efficiencies, such as replacing a gasoline-powered vehicle with an electric vehicle, fuel switching from a water heater fueled by natural gas to a heat pump water heater, and fuel switching from space heating fueled by natural gas to a heat pump space heater.

The invention relates to the technical field of building conference room monitoring, in particular to a data processing method and system for monitoring a building conference room, and the method comprises the following steps: obtaining a target conference information set of a target building; obtaining an estimated conference energy consumption data set according to the target conference information set; controlling target conference equipment data corresponding to the target conference information set according to the estimated conference energy consumption data set and the target building key energy consumption set; according to the method, the basic energy consumption and the per capita energy consumption can be distinguished, and the energy consumption influence factors are introduced, so that the energy consumption prediction is more accurate than that of a traditional method; meanwhile, by comparing the difference between the actual energy consumption and the estimated energy consumption of the building, two different regulation and control strategies are realized, and energy-saving measures with greater strength are taken when the overall energy consumption of the building exceeds the standard; and the per capita energy consumption and the second adjustment energy consumption can be calculated, so that the energy consumption in the conference room in the target building can be distributed, and the effects of reasonably distributing the energy and saving the energy consumption are achieved.