211 results about "Energy depletion" patented technology

The invention discloses an energy-saving control method and system based on a large refrigeration house, and the method comprises the steps: S1, obtaining cargo attribute information in real time through a cargo label, and inputting a dynamic load prediction model to generate a cooling capacity demand prediction signal in a future time period; s2, generating a multi-device cooperative control signal based on the cooling capacity demand prediction signal in the future period; s3, a shelf-level cooling capacity demand distribution signal is generated in combination with the cooling capacity demand prediction signal; s4, generating a directional cold airflow path signal matched with goods shelf distribution according to the goods shelf level cold capacity demand distribution signal; and S5, closed-loop feedback adjustment is conducted on the compressor frequency, the refrigerant flow and the air valve opening through an edge calculation module, and a dynamic balance control instruction of cooling capacity supply and space distribution is generated. The intelligent air quality monitoring method and system based on sensing data feedback can solve the problems of excessive refrigeration energy consumption waste caused by inaccurate cold capacity demand prediction of a large refrigeration house and extra energy loss caused by low cooperative efficiency of multiple devices.

The invention relates to the technical field of energy utilization, and discloses an urban heat and cold supply centralized energy comprehensive utilization method. The method comprises the following steps: S1, acquiring physical parameters and operation data of an urban heating and cooling system, wherein the physical parameters comprise a system initial temperature field, a thermal diffusion coefficient, heat source distribution, equipment performance parameters and heating and cooling demand loads; the invention further provides an urban heat and cold supply centralized energy comprehensive utilization system. The data acquisition module is used for acquiring physical parameters and operation data of the urban heating and cooling system; and the thermodynamic modeling module is used for constructing a thermodynamic model based on the law of conservation of energy. By constructing an optimization model based on energy conservation and entropy increase minimization, energy loss in a heating and cooling system is remarkably reduced, by optimizing energy distribution in real time and dynamically adjusting temperature field distribution, invalid energy consumption is reduced to the maximum extent, the overall energy utilization rate of the system is increased, and the energy utilization rate of the system is increased. And therefore, the heating and cooling system can operate efficiently under various working conditions.

The invention discloses a micro-grid system based on a direct current bus and a control method, the micro-grid system comprises the direct current bus, an energy management unit and a plurality of power conversion modules, when the micro-grid system is in an independent adjusting mode, each power conversion module controls the direct current bus to operate according to bus operation parameters of the direct current bus; and when the micro-grid system is in a centralized regulation mode, the energy management unit issues a control instruction to coordinate the output power and / or the input power of each power conversion module. According to the technical scheme, a unified direct current bus framework is constructed, the photovoltaic energy unit, the energy storage energy unit, the commercial power energy unit, the direct current load and other loads are directly connected to the direct current bus, direct current direct supply and direct current direct charging are achieved, the energy link structure is simplified, the power conversion link is reduced, the overall energy efficiency of the system is improved, and the system cost is reduced. And the phenomena of multiple energy conversion and energy loss caused by dependence on an alternating current bus in the prior art are avoided.

The invention relates to the technical field of fuel cell control, and discloses a control method of a hydrogen fuel system controller, which comprises the following steps: in response to a system shutdown instruction, controlling a DC / DC converter to maintain operation and request a preset scavenging current, and consuming residual reaction gas in a flow channel and a pipeline by using an electrochemical power generation reaction in an electric pile; meanwhile, hydrogen-cut air-down operation is executed, and the average single voltage of the electric pile is collected in real time; when it is monitored that the average monomer voltage is reduced to be below a preset anti-corrosion safety threshold value, the DC / DC converter is controlled to be disconnected, and mechanical purging is started. A time sequence interlocking mechanism of electrochemical energy depletion and mechanical purging is established, a high-potential retention path in the shutdown process is blocked from the physical and chemical source, and the safety of the shutdown is improved. Reverse polarity corrosion caused by a hydrogen-air interface effect is avoided, and the service life of the galvanic pile is prolonged.

The invention relates to the technical field of power distribution lines, in particular to a power distribution line abnormal line loss analysis and treatment method and system, and the method comprises the following steps: synchronously extracting real-time monitoring data and historical data based on a power distribution line network, carrying out the data alignment and data cleaning, screening features associated with current leakage and voltage drop, and carrying out the analysis and treatment of the abnormal line loss of the power distribution line. Comprising load change rate and temperature fluctuation. According to the invention, through application of real-time and historical data analysis, the detection and management efficiency of the abnormal line loss of the distribution line is improved, the accuracy of data processing is improved through synchronous extraction and data alignment, early recognition of abnormal modes is allowed, the possibility of energy loss and unplanned power failure is reduced, and through adoption of Fourier transform and wavelet transform, the detection efficiency of the abnormal line loss of the distribution line is improved. According to the method, abnormal signals are accurately recognized, the analysis capability of the signals is enhanced, the accuracy of abnormal detection is improved, fault positioning and maintenance plan making are effectively optimized through combination of the GIS system, and the pertinence and efficiency of maintenance work are remarkably improved.

The invention discloses an electric carbon coupling carbon flow calculation method, system and device and a medium. The method comprises the steps of obtaining a real-time power curve of a power transmission line and corresponding current, resistance and power factor multi-source operation data; segmenting the real-time power curve according to a time window, and extracting a power dynamic feature set in each time period based on a current change trend; calculating the energy loss of the power transmission line in each time period according to the multi-source operation data, and generating a carbon emission factor calibration result in combination with the difference between a reference carbon emission factor and the energy loss; determining a carbon flow attribution result of each power generation node in each time period based on the carbon emission factor calibration result and a power factor curve of the power generation node; and calculating a comprehensive carbon flow value of each power generation node, and summarizing to obtain a carbon flow calculation result of the power system. According to the method, the real-time performance, the accuracy and the physical consistency of carbon flow calculation are remarkably improved.

The invention discloses an electric energy meter intelligent load control method based on electricity utilization behavior analysis, and relates to the technical field of electric power metering, and the method comprises the steps: collecting current waveform data and power parameters through an electric energy meter metering chip; according to the current waveform data, zero crossing point moment information of the alternating current is determined; generating a load control instruction according to a comparison result of the power parameter and a preset power threshold value; and determining a switch control moment according to the zero-crossing moment information and the action delay parameter of the built-in switch, and controlling the built-in switch to execute on-off operation at the zero-crossing moment according to the load control instruction and the switch control moment. By capturing the current zero crossing point moment, arc-free on-off control of the built-in switch is achieved, energy loss and electromagnetic interference in the switch action process are reduced, and the service life of the switch is prolonged; and meanwhile, a periodic detection mechanism is adopted, power supply is automatically recovered on the premise of ensuring power utilization safety, and the power supply reliability and the user experience are improved.

The invention relates to the technical field of temperature control, in particular to a multi-dimensional compensation ablation system temperature control system, method and device and a medium. The system calculates a medium texture index representing the structural change of the load medium by synchronously acquiring electrical parameters and ultrasonic image data; constructing an anti-interference control model comprising an extended state observer, and defining energy transmission loss caused by contact thermal resistance as an extended state variable; calculating an adaptive correction factor based on the texture index, dynamically correcting the state updating process of the observer to obtain an energy loss correction estimated value, and constructing a compensation control model to adjust the output power according to the energy loss correction estimated value; according to the invention, the technical problem of incomplete heating caused by false high temperature of the sensor and system misjudgment due to state deterioration of the contact interface is effectively solved; accurate reconstruction and closed-loop compensation of effective heat flow in a non-ideal contact environment are realized, sufficient energy penetration can still be maintained even if contact thermal resistance is sharply increased, and the integrity of an ablation area is guaranteed.

The present application discloses a method and device for improving the energy efficiency of a dynamic reconfigurable battery optimized by a genetic algorithm, which relates to the field of dynamic reconfigurable battery regulation. The method includes: predicting the net energy loss in a preset time period through simulation, and randomly generating multiple groups of control strategies for the next reconstruction cycle as the initial population of the genetic algorithm. Taking minimizing the net energy loss as the objective function, the penalty function method is used to construct the fitness function in combination with the safe operating range constraints of the battery unit working current and terminal voltage. The candidate solutions are iteratively optimized using a genetic algorithm, and the optimal solution is finally selected as the target control strategy for the next reconstruction cycle. The present application uses a genetic algorithm to formulate an accurate target control strategy while meeting safety constraints, and minimizes the system energy loss through intelligent optimization, thereby improving the accuracy of the control strategy of the dynamic reconfigurable battery system, solving the problem of lag in the control process, and thus improving the energy efficiency of the dynamic reconfigurable battery network.

The invention discloses an assembly type normal-pressure heating and refrigerating system, and relates to the technical field of building energy supply. Comprising an intelligent power grid linkage platform which is used for obtaining a power grid data set, a power generation energy data set and an equipment state data set in real time and preprocessing the obtained power grid data set, power generation energy data set and equipment state data set to obtain standardized fusion data; and the regional supply and demand prediction module is used for dividing regions according to functional attributes and establishing an independent energy consumption feature library. The characteristics of photovoltaic midday output peak and wind power night output stability are dynamically matched, cold and heat storage region division and energy storage rhythm in a single tank are adjusted by combining regional demands of heating, refrigeration and domestic hot water in the next day, photovoltaic electric energy can preferentially drive midday cold storage, wind power energy is efficiently used for night heat storage, and the energy efficiency is improved. And meanwhile, cold and hot fluid storage in the tank is more suitable for the next-day energy consumption scene, energy loss caused by cold and hot mixing is avoided, and new energy consumption and peak shifting and valley filling values are fully exerted.

The invention discloses a wave energy direct utilization method and device based on symmetrical wing array space synchronous conversion and energy enrichment layer optimal capture. The method takes a symmetric wing array as an energy conversion core, and cooperates through five principles: 1) constructing a large-scale stable reference; (2) recognizing and accurately deploying the symmetric wing array on a wave energy enrichment layer, namely, the center depth is 0.2 H-0. 4H below a still water surface, and the error that the device is placed in an energy depletion deepwater area is corrected in principle; 3) spatial synchronous conversion is realized, so that the array synchronously utilizes bidirectional kinetic energy of waves at any time; and 4) designing an intrinsic self-sustaining stable framework. A complete principle framework of efficient wave energy conversion is established, a self-holding high-speed wave propeller and a high-power wave power generation device can be derived, and fundamental exceeding of the prior art is achieved.

The invention relates to the technical field of wireless electric energy transmission, in particular to a wireless charger transmission efficiency optimization method and system, and the method comprises the following steps: collecting frequency current fluctuation, extracting stable frequency, monitoring direction change, switching a transmission path, and improving the transmission efficiency. According to the invention, precision judgment is carried out on the basis of dynamic identification of frequency point fluctuation characteristics, automatic extraction of stable frequency is realized in combination with a fluctuation decreasing trend, time sequence monitoring of main path current polarity change is matched, a section with maximum direction change fluctuation is identified, and a path path is reset in time. The active response capability to an unstable transmission state is improved, the accuracy and timeliness of a path switching condition are enhanced by depending on a dual judgment mechanism of frequency and current data, energy loss caused by abnormal main path direction is effectively reduced, the continuity of a path replacement process and the stability of current output are improved, and the reliability of path switching is improved. And the data closed-loop regulation effect in the frequency selection and path updating process is enhanced.

The invention discloses an optical fiber energy supply system and method for a measuring instrument and an optical energy conversion power supply, the optical fiber energy supply system comprises a power utilization end, and the power utilization end comprises a photoelectric conversion module, a far-end electric energy conversion module, a power supply monitoring module and an optical energy transmission control module. The photoelectric conversion module is used for converting optical energy input by an optical fiber into electric energy to obtain a first power supply, the far-end electric energy conversion module is used for converting the first power supply into a second power supply to serve as a working power supply of a load, and the power supply monitoring module is used for monitoring electrical parameters of the first power supply and the second power supply; and the light energy transmission control module is used for controlling the output power of the photoelectric conversion module to be maintained in a maximum power point and a low-resistance state specific stable region by adjusting the electrical parameters of the second power supply when the output of the second power supply is not smaller than the starting voltage value. The output power of the photoelectric conversion module is set in a double-closed-loop control mode, so that the energy loss of photoelectric conversion is reduced, the actual working temperature is reduced, and the reliability of the photoelectric conversion module is further improved.

The invention discloses a BUCK-BOOST multi-stage half-bridge circuit series aging topological structure and a control method, and in the topological structure, a front-stage BUCK circuit and a rear-stage BOOST circuit are symmetrically designed by taking a voltage-stabilizing energy-storage capacitor as a center; the pre-stage BUCK circuit comprises a plurality of BUCK half-bridge units which are cascaded in sequence, and the post-stage BOOST circuit comprises a plurality of BOOST half-bridge units which are cascaded in sequence; the BUCK half-bridge unit and the BOOST half-bridge unit have the same circuit structure and each comprise an upper bridge arm and a lower bridge arm; in the BUCK half-bridge unit, an upper bridge arm switch and a lower bridge arm switch are connected to the output end of the upper stage, and an inductor L and the negative end of a lower bridge arm are connected to the input end of the lower stage; in the BOOST half-bridge unit, the inductor L and the negative end of the lower bridge arm are connected to the output end of the upper stage, and the upper bridge arm switch and the lower bridge arm switch are connected to the input end of the lower stage. According to the invention, cascade aging of BUCK and BOOST is realized, the aging efficiency is greatly improved, the energy loss is reduced, the cost is saved, the cascade aging is closer to system operation, the verification is more sufficient, and the working condition coverage is larger.

The invention discloses a special ion bipolar exchange membrane and a preparation method thereof. According to the invention, through a gradient transition layer construction technology, the problem of energy loss of a traditional bipolar membrane caused by heterogeneous material interface impedance is effectively solved. The three-dimensional nanofiber network formed by electrostatic spinning remarkably shortens the ion migration path, and by combining the enhancement effect of the boron nitride nanosheets, not only is the mechanical stability of the membrane stack greatly improved, but also the operation reliability in a high-temperature environment is enhanced. The introduction of the dynamic cross-linked network endows the membrane material with a self-repairing characteristic, microscopic damage generated in operation can be autonomously repaired, the service life of a membrane assembly is remarkably prolonged, the maintenance frequency and cost in an industrial scene are reduced, and the combination of the bionic fractal flow channel design and the photoelectric functional coating initiates a new mode of efficient mass transfer and energy-saving operation. And the material distribution uniformity is optimized by the fluid channel with the fractal structure, so that the membrane stack treatment efficiency is essentially improved.

The invention relates to the technical field of switching power supplies, and discloses a bilateral modulation control method capable of realizing reverse operation of an LLC resonant converter of a ZCS. Comprising the following steps: deducing time domain expressions of converter operation stages Pr and Or under the influence of parasitic inductance Ls, calculating by using a time domain model to obtain zero current turn-off of a primary side switch of the converter in a full working frequency and load range, and designing a bilateral modulation controller. According to the method, zero-current turn-off of a primary side switching tube is realized; from the perspective of a steady-state simulation waveform, the turn-off current error is less than 1A, so that the switching loss is effectively reduced, the energy loss of the converter in the reverse operation process is reduced, and the overall operation efficiency is further improved; the voltage peak of a primary side switching tube can be reduced; by reducing the voltage spike, the risk that the switch tube is damaged due to overvoltage is reduced, the operation safety and stability of the converter are improved, and reliable operation of the whole system is guaranteed.

The invention relates to a low-loss aging test system based on single-phase input dynamic direct current feedback and a control method. The low-loss aging test system comprises an aging test system and a tested unit, the aging test system comprises K1 energy conversion equipment, K2 energy conversion equipment and K3 energy conversion equipment which are connected through a high-voltage direct-current bus. The tested unit comprises a tested power supply, a power supply input end and a power supply output end; the input end of the power supply is connected with the output end of the K2 and is used for receiving the alternating current output by the DC-AC module, and the output end of the power supply is connected with the input end of the K3 and is used for transmitting the direct current after test processing to the DC-DC boosting module; and a closed-loop energy circulation link is formed between the aging test system and the tested unit. The device has the advantages of being high in power factor, low in harmonic content and high in energy conversion efficiency, cyclic utilization of energy is achieved, energy loss in the testing process is effectively reduced, the energy utilization efficiency is improved, the problem that the energy utilization rate of an alternating current feedback mode is low is solved, and remarkable economic benefits and environmental benefits are achieved.

The invention relates to a slit grating-assisted high-quality factor micro-ring resonant cavity sensor, which is connected with an input light source and a detector, and comprises a sensor chip module provided with an input optical fiber, an input grating coupler, a slit grating micro-ring resonant cavity sensor, an output grating coupler and an output optical fiber, eight inclination angles are formed between the input optical fiber and the input grating coupler and between the output grating coupler and the output optical fiber; the slit grating micro-ring resonant cavity sensor comprises an upper channel straight waveguide and a sensing ring. The slit grating-assisted micro-ring resonant cavity sensor is introduced, a sensing test shows that the quality factor (Q value) is higher, the higher quality factor (Q value) means a sharper harmonic peak and lower energy loss, the sensor can accurately detect extremely weak chemical / biological signals in combination with high sensitivity, and the signal-to-noise ratio and the measurement precision are greatly improved.

The invention discloses a pavement adaptive to a magnetic resonance type dynamic wireless charging system and a construction process of the pavement, and belongs to the field of road engineering and road infrastructures. The pavement comprises a lower surface layer, a middle surface layer and an upper surface layer, a charging unit is arranged in the middle of the upper surface layer, and wear-resistant asphalt concrete is arranged on two sides; the charging unit is divided into three layers, the lower layer is nanometer metal heat conduction type asphalt concrete, the middle layer is an adhesive layer embedded with a transmitting coil, and the upper layer is ferrite magnetic enhanced asphalt concrete. Through the optimized material and structural design, the mechanical compatibility of the transmitting coil and the road surface is improved, the heat dissipation performance is also remarkably improved, the problem of system overheating is avoided, the magnetic loss is greatly reduced by optimizing the magnetic field distribution, the energy transmission efficiency of the magnetic resonance type wireless charging system is remarkably improved, and the energy loss is reduced; and meanwhile, the service life of the wireless charging system is prolonged, the maintenance cost is reduced, and an efficient and reliable solution is provided for dynamic wireless charging of the electric vehicle.

The present disclosure relates to a superconducting quantum chip connection structure used for connecting between superconducting quantum chips. The superconducting quantum chips comprise quantum substrates and quantum circuits. The connection structure includes: a connection portion for connecting the superconducting quantum chips; and a current conversion portion disposed on the quantum substrate for bonding and connecting the quantum circuits to the connection portion, so that the standing wave current of the standing wave mode used for communication at the bonding connection interface is close to zero. The present disclosure can not only significantly reduce channel loss and achieve stronger coupling, but also significantly reduce energy loss at the bonding connection interface, thereby reducing the impact on quantum state transmission efficiency.

The invention provides a power distribution network line loss optimization method and system, and relates to the technical field of power distribution network line loss optimization, and the method comprises the steps: receiving local operation data collected by a measurement unit in real time, and generating the approximate resistance characteristics of a line segment based on the data and the operation information of an adjacent measurement unit, according to the method, approximate resistance characteristics and local operation data are fused to generate more reliable measurement data, an instantaneous power loss integral method is adopted to calculate instantaneous power loss aiming at bidirectional power flow and harmonic problems caused by distributed power supply access, and energy loss is generated through sliding time window integration. And according to the fused measurement data and energy loss, determining the global line loss of the power distribution network and generating an optimization control instruction, so that challenges such as complex operation environment, dynamic change of line parameters and bidirectional power flow of the power distribution network can be effectively handled, and the accuracy of line loss evaluation and the effectiveness of optimization control are remarkably improved. Accurate evaluation and efficient optimization of the line loss of the power distribution network are realized.

This invention relates to the field of factory environmental control technology, and discloses a distributed micro-orifice jet temperature control system and its control method for factory environments. The system includes a central unit, a main air supply duct, branch hoses, workstation-level electromagnetic regulating valves, female quick-connect fittings with leak-proof check valves, and terminal equipment with male quick-connect fittings. The terminal equipment is equipped with a hollow column composed of an outer and inner tube, a telescopic locking mechanism, and low-voltage cables with a helical spring-like extension structure. It also includes an AI controller, an ambient temperature sensor, a body surface temperature sensor, a personnel presence sensor, and a pulse width modulation generator. This invention uses leak-proof check valves to block airflow in vacant workstations to avoid energy loss, utilizes the helical spring-like extension structure to prevent breakage of low-voltage cables, and uses the AI ​​controller to adjust the flow cross-sectional area of ​​the workstation-level electromagnetic regulating valves based on multi-sensor parameters to achieve safe flow interruption and protect personnel at the workstations.

The invention discloses an optical storage and charging dynamic energy management method based on swarm intelligence optimization. The method comprises the following steps: step 1, collecting and standardizing original multi-source optical storage and charging data; 2, feature extraction and jump connection are carried out through a ResNet network; 3, inputting the optical storage and charging feature vector into an improved GATv2 model to obtain an energy flow prediction optimization model; 4, globally optimizing the load balance of the energy flow prediction optimization model by adopting a differential evolution algorithm; 5, monitoring the energy loss between the optical storage and charging devices and compensating the energy loss; 6, adjusting an energy scheduling strategy and carrying out feedback processing; 7, generating a Hash value through Hash processing, and storing the Hash value to the block chain; and 8, generating an optical storage and charging equipment scheduling log based on the block chain record. According to the invention, the improved GATv2 model and the differential evolution algorithm are combined, so that the energy efficiency, the load balance and the safety of the optical storage and charging system are improved.

The invention discloses a power supply system and a server, the power supply system comprises power supply nodes and load nodes, the number of the power supply nodes is multiple, each power supply node at least corresponds to one load node, the outer surface, facing the load nodes, of each power supply node is provided with a power supply copper bar, and the outer surface, facing the power supply nodes, of each load node is provided with a power taking copper bar; the electricity taking copper bar is electrically connected with an electricity load of the load node, and the power supply copper bar is in surface contact with the electricity taking copper bar to be electrically connected. According to the power supply system, the power supply path between the power supply node and the power utilization load of the load node can be shortened, the contact area between the power supply copper bar and the power taking copper bar can be increased, and the contact resistance between the power supply copper bar and the power taking copper bar is effectively reduced; therefore, the energy loss in the power supply process can be reduced, the transmission efficiency of the current between the power supply copper bar and the power taking copper bar can be improved, and meanwhile, the temperature rise of the contact position of the power supply copper bar and the power taking copper bar can be controlled to avoid overheating damage.

The invention relates to an energy scheduling method and device and a medium. Comprising the following steps: acquiring historical original flow data and channel state information of an underwater node; generating a traffic distribution matrix according to the historical original traffic data and the channel state information; obtaining a multi-dimensional optimization model; inputting the flow distribution matrix into a multi-dimensional optimization model to obtain an energy scheduling signaling; and the underwater node receives the energy scheduling signaling and executes energy scheduling operation. According to the technical scheme, a base station obtains historical original flow data and channel state information of an underwater node; and then, the base station generates a flow distribution matrix according to the historical original flow data and the channel state information, and inputs the flow distribution matrix into the multi-dimensional optimization model to generate energy scheduling signaling. Therefore, the base station predicts the flow of the underwater node according to the historical original data and the channel state information of the underwater node, and then dynamically generates the energy scheduling signaling according to the prediction result of the flow, thereby effectively reducing the energy loss of the underwater node.

A coal mine deep well hoist communication system and method based on intelligent metasurface assistance, the system comprises an Internet of Things device, an edge computing node, a cloud server and an intelligent metasurface, the Internet of Things device comprises a tension sensor, a weighing sensor and an acceleration sensor; the tension sensor, the weighing sensor and the acceleration sensor are connected with the edge computing node through the intelligent metasurface, and the edge computing node is connected with the cloud server through a wired transmission medium. The method comprises the following steps: arranging the intelligent metasurface and constructing an intelligent communication system; modeling the energy loss and the calculation time delay in the calculation offloading process of the intelligent communication system; constructing a comprehensive benefit function integrating the energy efficiency and the calculation time delay; taking the maximization of the comprehensive benefit function as the optimization target of the calculation offloading strategy; constructing a security reinforcement learning model; and realizing the optimal calculation offloading benefit. The system and method can ensure the stability of the wireless data link inside the hoist and improve the transmission efficiency of data.

The utility model relates to the technical field of plug -in device, especially the wire terminal of preventing loosening and increasing contact area, plug -in sleeve subassembly and connecting device, the utility model discloses wire terminal is equipped with two clamps that keep apart in the one end of the body, and the upper end of clamp is equipped with the wavy bending area, and at least has two inner bending parts, so that the contact area of clamp and the contact area of the plug pin is increased from the original two points to at least two points or more, not only increase contact area, reduce contact resistance, reduce energy loss, and the wavy design can better adapt to the plug pin of different specifications and shapes, improve the versatility and compatibility of plug -in device.

A transmitting device, a detection device and a terminal are applied to the technical field of detection, and the transmitting device comprises a first transmitting module and a second transmitting module. Wherein the first transmitting module is used for transmitting a first light beam, the polarization state of the first light beam is a mixed polarization state, and the mixed polarization state light beam is low in energy loss and high in energy density in the transmitting process and has good distance measuring capacity. The first transmitting module is used for transmitting the second light beam, the polarization state of the second light beam is linear polarization, the detection device is suitable for scenes needing higher transmissivity or higher reflectivity, and the anti-interference performance of the detection device can be improved. Furthermore, the first light beam and the second light beam are used for detecting different areas of the object space, composite detection combining mixed polarization detection and polarization detection is carried out on the object space, interference of reflection and the reflection effect on detection is reduced while the distance measuring performance of the detection device is not obviously reduced, and the detection device has higher detection precision.

The application relates to the technical field of energy management, and particularly discloses an integrated energy management system of a light storage building based on edge computing, which comprises a data acquisition module, which is used for collecting inverter operation state data, current sensor operation state data and light data in the energy management system in real time through edge computing. The operation state of the inverter can be analyzed by combining the data collected in the data acquisition module, and whether the operation state of the inverter is abnormal can be analyzed. Then, the performance of the inverter can be evaluated in real time by combining the real-time collected energy storage system data, and whether the performance change of the inverter will cause additional energy loss and reduce the power generation efficiency can be further analyzed. Then, whether the inverter optimization operation is needed is decided based on the analysis result, that is, the inverter can be optimized to avoid the occurrence of the condition of reducing energy loss, so that the power generation efficiency is improved and the energy utilization is maximized.

This invention relates to the field of frequency regulation technology at the grid connection point of wind power converters, providing an adaptive regulation method and system for the frequency of wind power converters at the grid connection point. By dynamically capturing transient signals in the instantaneous values ​​of the three-phase voltage and current at the grid connection point (PCC) and quantifying their disturbance intensity and type characteristics, the virtual inertia and damping coefficient can be adaptively adjusted to generate an active power command that precisely matches the actual disturbances in the power grid. This refined regulation enables the wind power converter to provide highly differentiated frequency support for different disturbances, significantly enhancing the frequency stability of the power grid, while effectively suppressing unnecessary power fluctuations and energy losses, thus improving the economy and reliability of system operation.