25 results about "Energy Saving Module" patented technology

The invention discloses a motor energy-saving high-efficiency power supply management control circuit, and relates to the technical field of motor electric energy management, and the circuit comprises a frequency conversion module which can carry out multi-path frequency conversion and power supply, and when frequency conversion is stopped, an energy-saving module transmits regenerative electric energy generated by a first motor module and a second motor module to a first battery module and a second battery module, when the sum of the generated regenerative electric energy is larger than a set low-voltage threshold value and smaller than a charging threshold value, the regenerative electric energy is subjected to hybrid superposition processing, power is supplied to a first motor module through an energy-saving module, and meanwhile a detection module detects the voltage states of a first battery module and a second battery module; and according to the full-charge or low-voltage state of the first battery module and the second battery module, the energy storage state and the discharge state of the first battery module and the second battery module are controlled. The energy-saving and efficient power supply management control circuit for the motor can avoid energy waste and improve the utilization rate of electric energy and the energy-saving effect of the motor.

The invention discloses a communication machine room environment monitoring system and device, and relates to the technical field of machine room environment monitoring, and the communication machine room environment monitoring system comprises a fusion alarm module, a fault root cause analysis module and a dynamic air duct optimization energy saving module. The fusion alarm module significantly reduces false alarms through heterogeneous sensor space-time alignment, confidence weighting and sound vibration interference filtering; the fault root cause analysis module constructs an equipment dependence graph based on CAD topology and CFD wind resistance, and uses a Bayesian network to lock root cause equipment in a second level and perform 3D visual positioning; the dynamic air duct optimizing and energy-saving module controls a fan and a flow guide plate in a closed-loop mode through a high-resolution thermodynamic diagram and reinforcement learning, cold energy is precisely put according to needs, energy is saved, and consumption is reduced. The system effectively improves the alarm reliability, shortens the fault positioning time, and reduces the PUE of a machine room.

The invention discloses an intelligent commercial refrigerator in an energy-saving mode based on an AI technology. The intelligent commercial refrigerator comprises an AI intelligent control module, a multi-dimensional sensor network module, a dynamic refrigeration adjusting module, an intelligent defrosting control module, a monitoring management module, a diagnosis correction module and an energy-saving module. The problems that a traditional commercial refrigerator is high in energy consumption, inflexible in refrigeration adjustment, not timely in fault diagnosis and incapable of achieving remote monitoring are solved. According to the invention, through specific algorithms of the improved sparrow algorithm module and the over-temperature calculation module in the AI intelligent control module, multi-dimensional data in the operation process of the refrigerator are evaluated and processed, and the accuracy and efficiency of data processing are improved. And through an improved time sequence analysis module and a cooling capacity demand prediction algorithm module in the dynamic refrigeration adjustment module, the refrigeration demand of the refrigerator is evaluated and optimized, and real-time adjustment of the refrigeration intensity and the operation state is achieved.

A picking system and method includes an article storage, a picking station, a conveying system, a drive system, a control system and an energy supply system. The picking system further comprises an electronic energy saving module, with which the picking system can be switched from a normal operating mode to an energy saving mode and vice versa. The energy saving module is further configured for a) masking, suppressing or automatically acknowledging error messages when switching from the energy saving mode to the normal operating mode, and / or b) suppressing or automatically acknowledging error diagnosis functions or troubleshooting functions when switching from the energy saving mode to the normal operating mode, and / or c) providing an error message acknowledgement element when switching from the energy saving mode to the normal operating mode, by means of which multiple error messages can be acknowledged at the same time.

This invention discloses a server configured with a dual-carbon management mode, comprising: a governance module, a management module, a carbon emission accounting module, a security module, an energy-saving module, and a data analysis module. The governance module is used for dynamically analyzing and evaluating Power Usage Effectiveness (PUE). The management module is used for collecting energy and material flows, performing intelligent analysis, refined management, and system optimization. The carbon emission accounting module is used for performing carbon emission accounting and generating carbon asset management solutions based on the accounting results. The security module is used to improve the underlying IT / OT application infrastructure. The energy-saving module is used to acquire power consumption data of server nodes and generate corresponding energy-saving strategies based on the power consumption data. The data analysis module is used to provide intelligent decision support for the planning, deployment, and operation and maintenance of data center clusters. This addresses carbon emission compliance requirements, ensures improved lifecycles for data center equipment, and meets data center requirements such as fundamentality, continuity, reliability, stability, security, and energy efficiency.

The invention relates to the technical field of air conditioner energy saving, in particular to an intelligent air conditioner energy-saving system which comprises a system platform, the system platform comprises a main body, and the main body comprises a compressor, a condenser, an evaporator, an auxiliary part and a daily maintenance part; the energy-saving module is used for providing driving energy for the main body; and the intelligent control end is used for collecting and sorting the air conditioner information collected by the energy-saving module, and the intelligent control end can sort and combine the collected information. Through the energy-saving module in the system platform, the light power assembly or the wind power assembly can provide energy for the main body, and power consumption can be reduced; the movable supporting frame is arranged on the condenser, so that the overall hollow area of the condenser can be increased when the supporting frame moves, and a heat dissipation fan can quickly convey a large amount of airflow to a pipe body; indoor and outdoor information is collected, and the optimal indoor temperature and the minimum energy loss are simulated through the calculation platform module.

The invention discloses an energy-saving modularized dust collector with an air inlet detection function, which comprises a dust collector main machine, a dust collector air inlet detection device, a dust collector air inlet detection device and an air outlet detection device, the dust cup module comprises a dust cup shell and a filtering assembly, the filtering assembly is detachably installed in the dust cup shell, an air inlet connector is arranged on the dust cup shell, and an air inlet channel communicated to an inner cavity of the dust cup shell is arranged in the air inlet connector; the thermal type wind speed sensor is electrically connected with the controller, and the thermal type wind speed sensor comprises a heating sensor and a reference sensor which are symmetrically arranged on the two sides of the air inlet channel; the battery pack is detachably installed on the shell, a first notch matched with the connecting base in shape is formed in the end of the battery pack, the end face of the first notch is a first arc face, and the first arc face makes contact with the surface of the dust cup shell. Compared with the prior art, the problems of high power consumption and short endurance time caused by the fact that an existing handheld dust collector cannot automatically adjust motor power are solved.

The utility model relates to a light steel structure assembly type building energy-saving module component which comprises a fixing frame, an outer wall plate and an installation unit. The mounting unit comprises a fork head piece integrally prefabricated with the external wall panel, the left side and the right side of the fork head piece are each provided with a fork head, and each fork head is provided with an insertion hole B; fixing blocks in one-to-one correspondence with the fork heads are arranged on the fixing frame, and inserting holes A corresponding to the inserting holes B are formed in the fixing blocks; the mounting unit further comprises an inserting rod, one end of the inserting rod is used for being inserted into the inserting hole A and the inserting hole B, the other end of the inserting rod is hinged to the first end of a connecting rod, the second end of the connecting rod is hinged to a hinge lug, the hinge lug is fixedly connected with a push rod, the push rod extends into the guide cylinder and is slidably connected with the guide cylinder, and a spring is arranged between the push rod and the bottom of the guide cylinder. An L-shaped hole is formed in the periphery of the guide cylinder, a limiting pin is arranged on the periphery of the push rod and arranged in the L-shaped hole, and a limiting inserting hole is formed in the outer end of the push rod. The technical scheme is convenient to disassemble and assemble and high in efficiency.

The utility model discloses a cooling device and energy -conserving air conditioner, cooling device includes fan, condenser and energy -conserving module, and the condenser forms the cooling coil for the refrigerant flow, and the fan's air intake mouth is toward cooling coil, energy -conserving module includes water tank and water outlet pipe, and water outlet pipe and water tank intercommunication, and water outlet pipe is connected in condenser, and water outlet pipe is used for cooling cooling coil. Compared with prior art, the present application combines air cooling and water cooling two kinds of heat dissipation mode, and in water cooling heat dissipation system, liquid medium (water) can directly and cooling coil heat exchange, compared with air cooling heat dissipation, the heat transfer coefficient is higher when liquid and solid heat exchange, and the heat exchange effect is better, when the ambient temperature is high, two kinds of cooling mode work simultaneously, to reduce condensing temperature, reduce the equipment power consumption, realize energy -conserving effect. And when water cooling system breaks down, the device can still rely on air cooling system to continue working, greatly improve the practicality of the device.

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 embodiment of the present application relates to the air conditioning operation and maintenance technical field, disclose an air-cooled data center air conditioning operation and maintenance system, method and electronic equipment.The system comprises: data acquisition module and energy-saving module;The data acquisition module is used for collecting air conditioner operation data and air conditioner environment data;The energy-saving module is used for establishing air conditioner system operation model, the air conditioner system operation model includes white box model, grey box model and fourth paradigm compact data model, and according to the air conditioner operation data and air conditioner environment data, respectively output the air conditioner operation optimization strategy corresponding to the white box model, the grey box model and the fourth paradigm compact data model.Through the above mode, the embodiment of the present application realizes the energy-saving operation of air conditioning equipment in air-cooled data center.

The utility model relates to a modularized graphene bulk curing barn air heater capable of enhancing heat exchange, and belongs to the technical field of bulk curing barn air heating equipment. The device comprises an air inlet pipe, an air inlet pipe joint, a heat preservation shell, an air outlet pipe joint, an air supply fan, an air outlet pipe, a heating section and a mixing space, a graphene heating module of the heating section adopts a design that graphene heating sheets and metal corrugated plates are arranged in a crossed manner, and the heat exchange efficiency is improved by utilizing high thermal conductivity of graphene and strengthening convective heat exchange of the metal corrugated plates; the mixing space strengthens air disturbance through the turbulence effect, and the heat transfer temperature difference between air and the graphene heating sheet and the metal corrugated plate is increased; the heat preservation shell is made of a high-temperature-resistant material and internally provided with a heat preservation rock wool layer, and heat loss is reduced; an access door with an observation window is arranged on the side face of the heat preservation shell, and replacement of the faulted graphene heating module is facilitated through a T-shaped clamping groove and a rapid insertion and extraction interface. The device has the advantages of enhanced heat exchange, high efficiency, energy conservation, modular design, easiness in maintenance and the like.

The invention discloses a data center energy consumption abnormity diagnosis method and system, and belongs to the technical field of data center energy conservation, and the method comprises the steps: collecting and processing energy consumption data of each energy-saving module, and obtaining target feature data; performing energy consumption health state evaluation to obtain a state value of each device, and determining a suspected abnormal device; performing association analysis on the suspected abnormal equipment, and positioning source abnormal equipment; optimal equipment adjusting parameters of all equipment except the equipment with the abnormal source are searched by utilizing an optimization algorithm; and operating the optimal equipment adjustment parameters, predicting the energy consumption anomaly probability of each piece of equipment after operation by using a Bayesian method, carrying out association analysis again on the predicted energy consumption anomaly equipment, and triggering a new round of optimization algorithm to carry out operation regulation and control. According to the invention, the PUE and carbon emission of the machine room are obviously reduced, the energy consumption abnormity and autonomy of the data center are actively predicted, and the precision of energy efficiency management and the operation efficiency are improved.

The utility model relates to the technical field of battery plate production, in particular to a surface drying machine for battery plate production. Comprising a box body with two open ends, a transmission mesh belt is installed in the box body, a hot air device is arranged on one side of the upper end of the box body, and the hot air device can blow hot air to the upper end of the transmission mesh belt. A plurality of nozzles are evenly distributed and fixed to the fixing pipe in the axial direction of the fixing pipe, and the fixing pipe communicates with a supercharging device fixed to the outer side of the box body. According to the utility model, an efficient, stable and energy-saving polar plate surface drying system is constructed through four cores of airflow impact dewatering, clamping and conveying deviation prevention, waste heat circulation energy conservation and modular maintenance.

The invention discloses a hospital building energy consumption monitoring and intelligent regulation and control system based on multi-source data fusion. The system comprises a data acquisition module, a sub-item processing module, a prediction module and a regulation and control energy-saving module. The data acquisition module is used for acquiring energy consumption data of a hospital in a fixed period; the subitem module is used for performing subitem processing on the energy consumption data according to purposes, transmitting a subitem processing result to a cloud end for storage, extracting a subitem processing result of a previous period, and comparing the subitem processing result of the previous period with a subitem processing result of the current period to obtain a comparison result; and the prediction module is used for establishing an intelligent prediction model, inputting a comparison result as initial data into the prediction model, determining an energy consumption abnormal position by performing item division on the hospital energy consumption equipment and monitoring the energy consumption condition of each item of equipment, and repairing the abnormal position to optimize energy conservation. The hospital building energy consumption monitoring and intelligent regulation and control system based on multi-source data fusion provided by the invention has the effects of reducing energy consumption and reducing energy waste.

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 relates to a modular prefabrication-based steel structure building energy-saving transformation system and a mounting process, and relates to the technical field of building energy-saving transformation and steel structure fabricated buildings, and the modular prefabrication-based steel structure building energy-saving transformation system comprises an intelligent positioning device, a three-dimensional adjusting bracket and a prefabricated energy-saving module group. The prefabricated energy-saving module has the effects of being high in material cyclic utilization rate, reducing generation of construction waste and being good in energy-saving effect, the prefabricated energy-saving module set comprises a main body frame, a mounting notch, a core material, a panel and other assemblies, under mutual cooperation, the core material can be freely adjusted and replaced according to different indoor and outdoor use environments, modular mounting and dismounting are achieved, convenience and rapidness are achieved, and the energy-saving effect is good. The construction period can be effectively shortened, the transformation efficiency is improved, different use requirements of users can be met, use flexibility is high, the application range is wide, and comprehensive benefits are high.

The invention relates to the technical field of air conditioner energy saving, in particular to a central air conditioner intelligent energy management system which comprises an equipment module, an environment monitoring module, a wireless transmission module, a data analysis processing module, a setting module, a comparison module, a control module, an operation module and an energy saving module. The data is transmitted to the data analysis and processing module through the wireless transmission module, the data analysis and processing module analyzes and processes the transmitted data and then transmits the data to the comparison module, and the comparison module obtains a preset value of the setting module, compares the preset value with the transmitted data and transmits a comparison result to the control module. The energy-saving module can recycle heat generated when the equipment module works, the operation module is used for personnel to operate the setting module, in this way, the energy-saving effect can be achieved, the energy-saving module can recycle the heat generated when the equipment module works, energy is saved, and environmental protection is achieved.

The invention relates to the field of air conduction hearing aids, in particular to an air conduction hearing aid endurance time prolonging method, which comprises an energy-saving system, and the energy-saving system comprises a hardware module, a software module, a machine body module and a maintenance module. The hardware module comprises a chip module, a battery module and an energy-saving module; the software module comprises an algorithm module, an intelligent adjusting module and an intelligent dormancy module, through hardware optimization, software adjustment and use habit improvement, the service life of the air conduction hearing aid is effectively prolonged, the internal structure is optimized, novel materials are adopted, the battery technology is improved, the service life of the air conduction hearing aid is effectively prolonged, and the service life of the air conduction hearing aid is prolonged. A high-efficiency amplifier is adopted, the sensitivity of the microphone is optimized, and a low-power-consumption loudspeaker is adopted, so that energy consumption can be reduced; the whole weight of the air conduction hearing aid can be reduced by adopting a nano material and a novel plastic material; and a high-efficiency battery, a rechargeable battery and a novel battery material are adopted, so that the cruising ability of the air conduction hearing aid can be improved.

The invention belongs to the technical field of power equipment, and discloses an energy-saving device and a production method thereof.The device comprises an electric cabinet and an energy-saving module arranged in the electric cabinet and further comprises multiple sets of clamping devices arranged in the electric cabinet, the multiple sets of clamping devices are arranged at intervals in the height direction of the energy-saving module, and each clamping device comprises a clamping piece, a first clamping piece and a second clamping piece, the number of the clamping pieces is two, and the clamping pieces are symmetrically arranged on the two sides of the energy-saving module. Piston rods of the clamping cylinders are connected with the clamping pieces, and the clamping cylinders are used for driving the two sets of clamping pieces to clamp or be away from the energy-saving module; the driving assembly is used for controlling the clamping cylinders, so that the adjacent clamping devices alternately clamp the energy-saving module; according to the scheme, the driving assembly controls the adjacent clamping devices to conduct clamping alternately, so that the contact positions of the outer wall of the energy-saving device and the clamping pieces are switched periodically, and heat of the energy-saving device is evenly dissipated on the premise that fixing of the energy-saving device is not affected; the problem that heat dissipation of the outer wall of the energy-saving device is not uniform is solved.

The invention discloses a distributed green production distribution integrated scheduling system and method, and relates to the technical field of distributed production scheduling in the manufacturing industry. Comprising a workpiece sequence initialization module for generating an initial workpiece sequence, an optimization module for optimizing the performance of a solution, a decision module for optimizing the learning and decision process of a hyper-heuristic algorithm, and an energy-saving module for reducing the processing energy consumption while reducing the total completion time, a high-quality initial solution is generated through the workpiece sequence initialization module, and invalid search time consumption is reduced; the optimization module pertinently improves the performance of the solution, effectively reduces the problem complexity, and guarantees the calculation efficiency; the decision-making module optimizes the learning and decision-making process of the hyper-heuristic algorithm, dynamically adapts to the change of the production environment, avoids scheme failure caused by fixed parameters, reduces dependence on manual parameter adjustment, and improves the robustness of the algorithm; and the energy-saving module reduces the processing energy consumption while shortening the total completion time, so that the balance of efficiency and green is realized.

This invention relates to the field of air conditioning energy-saving technology, and more particularly to an intelligent air conditioning energy-saving system, comprising a system platform. The system platform includes: a main body, comprising a compressor, condenser, evaporator, auxiliary components, and routine maintenance components; an energy-saving module, which provides driving energy to the main body; and an intelligent control terminal, which collects and processes the air conditioning information collected by the energy-saving module, and is capable of processing and merging the collected information. This invention, through the energy-saving module in the system platform, enables solar or wind power components to provide energy to the main body, reducing power consumption; by setting a movable support frame on the condenser, the overall perforated area of ​​the condenser can be increased when the support frame moves, allowing the cooling fan to quickly deliver a large amount of airflow to the pipe body; and by collecting indoor and outdoor information, the system platform module simulates the optimal indoor temperature and minimum energy consumption.

The invention provides an energy-saving modular cabinet with a fault detection function, and relates to the technical field of server cabinets, the energy-saving modular cabinet comprises a cabinet body, a first heat dissipation unit, a sensing management unit and at least one shelf assembly, and the shelf assembly is used for installing equipment. According to the invention, a combined heat dissipation system of the first heat dissipation unit and the second heat dissipation unit is adopted, the first heat dissipation unit introduces external natural cold air to form basic cooling air flow covering all equipment through the pipeline system and the shelf assembly, and the second heat dissipation unit performs heat dissipation according to an instruction of the sensing management unit. Point-to-point accurate cold supplement is carried out on specific high-heat equipment or local hot spots; according to the mode of basic air cooling global coverage and active refrigeration local strengthening, energy waste of traditional'one-open full-open 'is avoided, optimal matching of heat dissipation efficiency and energy consumption is achieved, and the overall energy efficiency ratio is remarkably optimized.

The application belongs to the technical field of wind power generation equipment safety, and particularly relates to a wind turbine blade partition ice melting system and method based on multi-modal perception, which comprises a multi-modal perception module, an intelligent control module and an execution and energy saving module; the multi-modal perception module comprises a plurality of infrared array sensors arranged in an equidistant array along a blade leading edge, and a vibration accelerometer installed at a blade root, which are used for monitoring blade surface temperature distribution and vibration characteristics in real time; the intelligent control module comprises an edge computing unit integrating an AI algorithm based on a long short-term memory neural network (LSTM), and a partition control strategy, which are used for realizing real-time prediction of ice layer thickness distribution and partition control according to data collected by the multi-modal perception module. The application can effectively solve the problems of high energy consumption and high misjudgment rate of traditional ice melting technology, has the advantages of high detection precision, fast response speed, long service life and the like, and is suitable for anti-icing protection of various large wind turbine generators in a high-humidity low-temperature environment.