215results about How to "Achieve balance" patented technology

The invention discloses a coal mine heat energy monitoring and cooling regulation and control method based on the Internet of Things, and relates to the technical field of coal mine heat energy monitoring and cooling regulation and control. The collected temperature data are transmitted to a central monitoring system in real time through an Internet of Things gateway; redundant temperature sensors are arranged at key positions, and data of the temperature sensors in the same area are regularly compared and verified. According to the invention, the monitoring robustness is improved through a redundant temperature sensor and a data fusion algorithm, a monitoring blind area caused by a single-point fault is avoided, and the accident risk is reduced; a self-adaptive learning algorithm is adopted to dynamically optimize a detection threshold value and a compensation strategy, so that the anomaly detection accuracy is improved, and false alarms and missing alarms are reduced; the temperature trend is pre-judged through a predictive control algorithm, cooling is conducted in advance, balance between safety and energy efficiency is achieved, overheating accidents are prevented, and energy consumption is reduced.

The invention discloses a tobacco enterprise composite scheduling method based on multi-agent collaborative optimization, and the method comprises the steps: obtaining the system data of a tobacco enterprise, and obtaining a plurality of corresponding decision-making schemes based on a sales prediction agent, a production plan agent, a purchase stock agent, and an inventory management agent; performing iterative optimization on the decision scheme based on a Nash equilibrium game and a Lupinstein bargaining model, and calculating a system utility value to obtain an optimal decision scheme; according to the optimal decision-making scheme, based on an adaptive mechanism, adaptive optimization is carried out, and an adjusted decision-making scheme of each agent is obtained, so that tobacco enterprise composite scheduling of multi-agent collaborative optimization is realized; the sales prediction agent, the production plan agent, the purchase stock agent and the inventory management agent perform information interaction through an attention mechanism. Interactive cooperation among multiple agents is realized by introducing an attention communication mechanism and a game theory cooperation mechanism, and overall optimization of tobacco enterprise scheduling is promoted.

The embodiment of the invention relates to the field of trajectory tracking, and discloses a target detection tracking method, system and device and a storage medium, and the method comprises the steps: obtaining a plurality of image frames in a video or image sequence; performing detection by using a target detection model to obtain feature detection information of each image frame; inputting the feature detection information into a trajectory tracking model for analysis and processing, and establishing and tracking a motion trajectory of the target object; wherein the method specifically comprises the following steps of: associating the target object by utilizing the frame similarity among the plurality of bounding boxes; and establishing and tracking a motion track of the target object based on an association result. According to the method disclosed by the invention, the technical problems that the tracking object is difficult to accurately detect and the calculation time is relatively long and relatively large computing power resources need to be occupied are solved, the computing power can be reasonably distributed, the balance of high-precision detection and real-time monitoring is realized, the target object is quickly sensed in a complex shielding environment, and the target object detection and tracking effect is improved.

The invention relates to the technical field of nuclear power plant safety, in particular to a nuclear power plant fault diagnosis method based on data balancing, which establishes a data set balancing technology for deep learning through SA-TimeGAN, can effectively solve the problem of data imbalance caused by large normal data volume and small fault data volume in a nuclear power plant, and improves the fault diagnosis accuracy of the nuclear power plant. According to the method, firstly, small sample fault data are preprocessed, then, SA-TimeGAN is used for conducting adversarial training on the multiple types of small sample fault data, generated fault samples are added into an original training data set to achieve balance of sample data, and finally, the balanced data set is input into a CNN-BiLSTM diagnosis model for training, so that fault diagnosis is achieved. According to the method, the recognition capability of the model on minority classes of fault samples is effectively enhanced, and real data distribution is approached through adversarial training, so that high-quality synthetic data is generated.

The invention provides a spinal endoscopic image deblurring method and system, and the method comprises the steps: carrying out the multi-scale convolution operation of a spinal endoscopic image, obtaining the difference of image contrast among different scales, segmenting the spinal endoscopic image into a plurality of local structure images, and obtaining a plurality of local structure images; determining the brightness uniformity of each local structure image through the distribution gradient of the pixels in each local structure image and the difference quantity of the contrast; determining the dependency relationship of the textures between the adjacent local structure images through the texture difference between the adjacent local structure images on the spine tissue structure; performing contrast enhancement on the brightness of the local structure image according to the dependency relationship and the brightness uniformity to obtain a local enhanced image; and fusing and reconstructing the fuzzy region through all the local enhanced images to obtain a deblurred spinal endoscope image. By adopting the scheme provided by the invention, local adaptive equalization enhancement of the image brightness of the spinal endoscope can be realized, so that detail blurring caused by non-uniform illumination is reduced.

The invention discloses a heterogeneous computing architecture testing method of an ISP module, and belongs to the technical field of heterogeneous computing. According to the technical scheme, a high-level synthesis tool is used for generating and verifying an IP to be tested; a target algorithm IP application system is constructed by using a microprocessor IP hardcore and an AXI bus connector of a heterogeneous computing platform, a target algorithm IP core is operated by using software to carry out an application test, and actually measured data is stored in a nonvolatile storage medium; transplanting an operation system and an OpenCV library to the heterogeneous computing platform for the development board, and storing a target algorithm software operation result to a data file after a test program is operated; and evaluating the function correctness and the performance index of the target algorithm IP by using the actually measured data and the software operation result. The method has the advantages that effective testing and optimization of the heterogeneous computing architecture of the ISP module are achieved through the software and hardware co-simulation and IP core verification technology, middle-level optimization, a comprehensive testing framework and other methods, and powerful support is provided for technology development, application and popularization in related fields.

The invention relates to the technical field of lighting, in particular to an intelligent lighting control system based on the Internet of Things, which comprises a sensing layer, an application layer and an equipment layer, and is characterized in that the sensing layer comprises illumination sensor units, human body induction sensor units and a meteorological linkage unit, and the illumination sensor units are distributed in various areas of a building and are used for monitoring illumination intensity; the human body induction sensor unit is installed in a public area and used for detecting personnel activities, the weather linkage unit obtains real-time weather forecast information through a network, and the application layer comprises a dimming mode and scene setting unit, an intelligent control panel unit, a central control unit and a mobile phone APP control unit. According to the scheme, through the illumination sensor and human body induction, the illumination brightness is accurately regulated and controlled, the brightness is automatically reduced or the lamp is turned off in an unmanned area, opening and closing of the curtain are optimized in combination with meteorological information, natural light is fully utilized, energy consumption is effectively reduced, the operation cost is reduced, and perfect balance of energy conservation, environmental protection and efficient illumination is achieved.

According to the photopolymer system based on the fluorine-containing liquid crystal, the grating device and the preparation method of the grating device, the mixed liquid crystal containing the nematic liquid crystal and the fluorine-containing liquid crystal at the same time is adopted in the photopolymer system, and therefore the polarity and dielectric anisotropy of the mixed liquid crystal material are improved; the overall electro-optical performance, uniformity and stability of the photopolymer system are improved, so that a grating device prepared based on the photopolymer system has good optical characteristics of low haze while having relatively high diffraction efficiency. Specifically, fluorine-containing biphenyl liquid crystals, fluorine-containing alkyne liquid crystals and fluorine-containing difluoromethoxy liquid crystals of which the carbon atoms of flexible side chains are 2-5, and nematic liquid crystals of which the delta epsilon is not less than 10 are selected to jointly form mixed liquid crystals; and the balance and optimization between the diffraction efficiency and haze performance of the photopolymer system and the grating device prepared from the photopolymer system are realized.

The invention belongs to the field of new energy power generation systems, and discloses a forced circulation steam generation system variable load operation optimization method and related equipment.The method includes the steps that a tube shell type evaporator numerical calculation model and a forced circulation system hydrodynamic balance model are established, and high evaporation capacity, evaporator efficiency and minimum cost serve as optimization targets; a multi-objective optimization model is constructed by combining the change of the flow of the fused salt and the flow of the circulating water; the model is solved by adopting a Pareto dominating method, and a Pareto optimal solution set can be output, so that optimized operation schemes of the forced circulation system under different loads can be formulated according to the optimal solutions; by the adoption of the method, high evaporator efficiency and evaporation capacity can be achieved, meanwhile, pump work loss can be effectively reduced, the key target in operation of the photo-thermal power station is achieved, namely, balance of high efficiency and low loss is achieved, and powerful support is provided for stable operation and economic benefits of the photo-thermal power station.

The invention discloses an intelligent string type container energy storage system. The system is composed of a battery system, a battery management system, a heat management system, a fire extinguishing system, a PCS system and an energy storage controller which are integrally mounted and fixed in a container body. According to the energy storage system, one-cluster-one-management is achieved through an energy storage system string-type framework, the battery clusters are connected with the PCS in series and then connected with the PCS in parallel, the series-parallel mismatching problem of the system is solved, all battery packs achieve 100% discharging, one-pack-one-optimization of the system is achieved, the battery packs are balanced and consistent, maximum charging and discharging of the single battery packs are achieved, one battery pack optimizer is integrated in each battery pack, and the energy storage efficiency is improved. The optimizers are connected in parallel with the battery cells, and the optimizers in the battery cluster are directly connected in series, so that the service life of the battery cells in the life cycle is prolonged by 10%, and the available capacity is improved; the energy storage system is high in reliability, convenient to maintain and higher in system safety, each battery cluster independently controls charging and discharging, the situation that the discharge capacity is affected by bias current is avoided, meanwhile, single-cluster fault isolation is achieved, fault diffusion and system whole disabling are avoided, and the safety performance is further improved.

The utility model discloses a battery temperature self-adaptive passive equalization circuit, and relates to the technical field of battery equalization, the positive and negative electrodes of a battery are connected with a BMS controller, the battery comprises a plurality of battery cells connected in sequence, and an equalization module is connected between each battery cell and the BMS controller. The equalization module comprises a resistor R1, a resistor R2, a nmos tube Q1, a nmos tube Q2, an operational amplifier OPAMP and a thermistor NTC. Wherein the resistor R1 and the nmos tube Q1 are connected to form a first circuit, and the resistor R2, the thermistor NTC and the nmos tube Q2 are sequentially connected to form a second circuit. The first circuit and the second circuit are connected with the positive electrode and the negative electrode of the battery cell, and the operational amplifier OPAMP is connected between the first circuit and the second circuit. According to the invention, the appropriate equalization current can be adaptively adjusted through the temperature feedback of the battery cell, so that the battery cell equalization can achieve a faster and safer equalization effect under the condition that the service life of the battery cell is not affected.

The invention provides an unmanned aerial vehicle battery health monitoring method and system based on an intelligent charging management cabinet, and relates to the technical field of battery monitoring, and the method comprises the steps: arranging a magnetic flux sensing detection unit in a charging cabin of the intelligent charging management cabinet, and recognizing a current density distortion region in an unmanned aerial vehicle battery; monitoring the stress distribution state of the battery shell of the unmanned aerial vehicle in real time, and calculating the internal damage degree of the battery of the unmanned aerial vehicle according to a stress-current coupling model; when the internal damage degree exceeds a preset threshold value, an active balance repairing mode of the intelligent charging management cabinet is triggered, uniform deposition of active substances in the unmanned aerial vehicle battery is promoted by generating mechanical vibration in the charging bin, and current in the unmanned aerial vehicle battery is guided to be redistributed through an alternating magnetic field generated by the three-axis magnetic induction coil; and dynamic repair and balance of the battery performance of the unmanned aerial vehicle are realized.

The invention discloses an intelligent agricultural cloud platform water and fertilizer control method, and relates to the technical field of agricultural planting. Through the real-time monitoring unit, farmland environment information can be monitored in real time, environment temperature, humidity and soil state conditions can be monitored in real time, accurate calculation can be performed, antagonistic reactions among various elements can be avoided, balance among the elements can be realized, the yield and quality can be remarkably improved, and the method is suitable for large-scale popularization and application. The capability of resisting severe weather of crops is enhanced, and meanwhile, the effects of saving water and reasonably applying fertilizer are achieved; under the cooperation of the data analysis unit, the data processing unit and the automatic control unit, the amount of water and fertilizer needed by planted crops can be comprehensively judged, water and fertilizer are supplied to the planted crops in a demanded mode in a real sense, the planted crops grow to the maximum extent in the corresponding stage, and therefore systematic intelligent and accurate management is achieved, and the management efficiency is improved. And waste of water resources and negative effects caused by improper application of fertilizers can be avoided.

The invention provides a direct current system pure light CT measurement method and system under fast transient large current and a simulation method, and the method comprises the steps: setting a threshold current Ith, the interval time N of a sample during differential operation, and the time Tdown for keeping in a large current algorithm as preset values; and a condition that a measurement error is generated when a fast transient large current is encountered is avoided by utilizing reasonable setting of a parameter N in a pure light CT (Computed Tomography) demodulation algorithm. Different demodulation algorithms (an Arctan demodulation method of small current and a di / dt integral demodulation method of large current) are selected according to the magnitude of the current, so that the rapid transient large current can be measured more accurately. According to the method, the measurement defects of a traditional pure light CT are overcome, accurate data measurement under rapid transient large current can be achieved, current state quantities of various devices under similar lightning stroke working conditions can be reproduced and analyzed, and the method has remarkable practical value.

The invention provides a container scheduling method and device in a cloud environment, electronic equipment and a storage medium. According to the application, the sub-cluster manager and the resource cluster object are introduced into the sub-cluster, the main cluster manager is introduced into the main cluster, and the sub-cluster manager, the resource cluster object and the main cluster manager cooperate with one another. The real-time resource sensing and resource balancing capabilities of each sub-cluster in the cloud data center in a federated scene are realized, the real-time performance of detecting whether the container is normal or available is improved, the container can be immediately scheduled to other nodes or clusters under the condition that the container cannot obtain actually required system resources, and the resource utilization rate is improved. The unavailable duration of the container is reduced, the influence on the quality of the cloud service provided by the container to the outside is avoided, and the container availability of each sub-cluster in the cloud data center in the federated scene and the comprehensive resource utilization rate of the sub-clusters are improved.

The invention relates to the technical field of air purification and ventilation, and discloses a circulation control method and system for a pressure difference channel of a clean laboratory and a storage medium, the method is based on a clean conveying line and a dirty conveying line, each line comprises a conveying channel, a buffer cabin and a sealing door, and an air feeder and an exhaust fan are arranged in the channels respectively. The rotating speed and the working time of the fan are adjusted according to the volume and the number of the flow devices by obtaining the flow instruction, and the conveying line can be disinfected according to the cleaning instruction. According to the method, pollution can be effectively avoided, circulation requirements can be accurately matched, the conveying line is regularly cleaned, the operation quality of a clean laboratory is comprehensively guaranteed, and it is ensured that the requirement for high cleanliness of an experiment space is met.

The invention discloses an environment-friendly efficient cosmetic hose and a preparation method thereof.The cosmetic hose is prepared from, by weight, 60-80 parts of low-density polyethylene, 9-15 parts of high-density polyethylene, 15-20 parts of metallocene polyethylene, 30-40 parts of a PCR regenerated material, 1-3 parts of an antioxidant, 5-10 parts of a plasticizer, 1-3 parts of a coupling agent and 2-5 parts of a graphene auxiliary. The cosmetic hose is prepared by reasonably proportioning the raw materials, mixing and melting the raw materials at high temperature, extruding the raw materials into a hose shape, and then cooling, shaping, cutting, polishing and packaging the hose. Compared with the prior art, the prepared environment-friendly efficient cosmetic hose has excellent environment-friendly performance and also has excellent barrier property, tensile strength, antibacterial property and ultraviolet aging resistance, long-term use stability of the cosmetic hose is facilitated, and good quality control is guaranteed in the storage process of packaged contents.

The invention discloses an edge-end cooperative task division and resource allocation method based on model segmentation, relates to the field of edge computing video analysis, and integrates CNN channel pruning, bilinear sampling and affine quantization multi-dimensional compression of intermediate transmission feature data; a parameter-shared dynamic neural network is trained based on a sandwich rule and a knowledge distillation technology, and real-time switching of characteristic data compression amplitude is realized; modeling user reasoning performance indexes in edge-end cooperative task division, and constructing an optimization problem of maximizing reasoning accuracy meeting user performance demand constraints and edge resource constraints; a solution algorithm based on dynamic programming is adopted, optimal configuration such as model break points and intermediate feature compression parameters is selected for users, and edge communication resources and computing resources are efficiently allocated, so that the reasoning accuracy under the multi-user condition is improved.

The invention relates to the technical field of inverter control, in particular to a neutral-point voltage full-range control system and method when a T-type three-level inverter breaks down, the T-type three-level inverter is important equipment in an energy router, and when a switch tube of the T-type three-level inverter breaks down, the problems of neutral-point voltage imbalance, current distortion and the like can be caused. According to the invention, the control capability of the neutral-point voltage is greatly improved by decomposing modulation waves when a switch tube fails, neutral-point voltage deviation elimination and oscillation suppression in a full modulation degree and full power factor range are realized, and fault-tolerant operation and neutral-point voltage balance control when the T-type three-level inverter fails are realized on the whole; safe and stable operation of the energy router system is realized, and safe operation of large and important electric power systems such as an electric power system, aerospace, metallurgical mining industry, rail transit and the like is guaranteed.

The invention discloses an intensive culture precise feeding control method based on fuzzy-MPC control, and relates to the technical field of aquaculture intelligent control, and the method comprises the steps: employing a sensing system, collecting multi-source sensing data including fish activity images, healthy growth states and water quality environment data in real time, and forming a comprehensive state data set; and based on the acquired multi-source sensing data, constructing an MTL-LSTM-SAT multi-task learning model. According to the method, the multi-task learning model fusing the LSTM and the soft attention mechanism is constructed, the long-term dependency relationship and dynamic association among the water quality, the feeding and the fish state can be captured, the attention mechanism enables the model to be automatically focused on a key time step, the perception ability of the water quality fluctuation and the feeding influence stage is enhanced, and the accuracy of the water quality fluctuation and feeding influence stage is improved. Meanwhile, double-task collaborative prediction of the growth speed and the disease proportion is achieved through the shared feature layer, a prospective state sequence of the future 7 days is output, and a quantitative and reliable prediction basis is provided for feeding decision making.

The invention discloses a hydrothermal / cold energy cross-business cyclic utilization system, a control method and a storage medium, and relates to the technical field of heat exchange equipment control. A data center liquid cooling heat exchange system is used for receiving low-temperature return water of a comprehensive heat exchange system so as to perform heat exchange of a server cabinet; high-temperature return water generated by heat exchange is transmitted to the comprehensive heat exchange system; the comprehensive heat exchange system is used for receiving high-temperature return water of the data center liquid cooling heat exchange system, transmitting the high-temperature return water to the high-temperature heat pump system, receiving low-temperature return water of the high-temperature heat pump system, and transmitting the low-temperature return water to the data center liquid cooling heat exchange system; the high-temperature heat pump system is used for receiving the high-temperature return water of the comprehensive heat exchange system so as to carry out heat release treatment to generate the low-temperature return water, and the low-temperature return water is transmitted to the comprehensive heat exchange system. The technical effect of cyclic utilization of heat is achieved.

The invention discloses a multifunctional indoor storage rack which comprises a base with universal wheels, a vertically telescopic rod, a storage rack main body arranged above the telescopic rod and a dustproof soft cover arranged above the storage rack main body. And a plurality of hanging rods which can slide left and right and are locked through fasteners are arranged on the storage rack main body, so that the hanging or placing distance can be flexibly adjusted according to the width of articles. One end of the dustproof soft cover is wound on the reel in the left frame rod, and the other end of the dustproof soft cover is provided with a magnetic suction rod, can be pulled out and wound on the supporting framework above, and is finally fixed on the right frame rod in a magnetic suction manner, so that a dustproof structure covering the upper part of the storage area is formed. According to the design, dust mainly from the upper portion settles, effective dust prevention is guaranteed, meanwhile, the structure is simplified, and operation is convenient. The device has the advantages of being convenient to move, adjustable in height and width, efficient in dust prevention and the like, reasonable in structure, high in function integration degree, suitable for various indoor storage scenes and high in practicability.

The utility model discloses an air floating platform for optical lens detection, and belongs to the technical field of precision optical detection and air floating supporting, the air floating platform comprises a base, an air floating platform substrate is arranged above the base, a plurality of groups of air floating holes are formed in the air floating platform substrate, and pressure sensing valves are arranged in the plurality of groups of air floating holes; laser interferometer adjusting mechanisms are arranged on the periphery of the air floating platform base plate, the four laser interferometer adjusting mechanisms are slidably connected with the periphery of the air floating platform base plate, a honeycomb matrix air cushion array is arranged in the base, four supporting adjusting mechanisms are arranged at the bottom of the base, and each supporting adjusting mechanism comprises a supporting frame. A threaded rotating shaft is rotationally connected into the supporting frame. When the device is used, the overall balance of the base can be better adjusted when the device is used or after the position of the device is changed, other tools are not needed during adjustment, the overall balance is accurate through the thread adjustment mode, and the practicability of the device is improved.

The invention relates to the technical field of LED display, in particular to an LED fan screen, a heat dissipation control method and a display device, and aims to solve the technical problems of how to accurately obtain the overall working temperature of the LED fan screen and how to automatically adjust the rotating speed of the LED fan screen based on the overall working temperature. In order to achieve the purpose, according to the technical scheme, the method comprises the steps that the working temperature of each position is obtained through temperature sensors arranged in a plurality of heating areas, the overall working temperature of the LED fan screen is obtained based on the temperature influence weight of each heating area, and the rotating speed of the LED fan screen is controlled according to the overall working temperature. Through real-time temperature monitoring and intelligent heat dissipation control of main heating devices of the LED fan screen, the consistency of display colors and the uniformity of brightness of the LED fan screen can be improved, the service life of a core device is effectively prolonged, and meanwhile balance between heat dissipation and energy saving can be achieved.

The application relates to the technical field of yaw slip ring state monitoring, and specifically discloses a multi-dimensional state operation monitoring method and system based on a yaw slip ring, which comprises the following steps: obtaining an original operation data set of the yaw slip ring, wherein the original operation data set contains operation parameters in the electrical, mechanical, attitude and environmental dimensions which are collected via sensors and subjected to redundancy checking; constructing a noise suppression matrix based on the physical mechanism of the yaw slip ring, filtering isolated fluctuations and cross-modal abnormal values in the original operation data set by using the noise suppression matrix, and inputting the noise suppression matrix into a convolutional neural network model to obtain a fusion feature vector. By introducing the noise suppression matrix constructed based on the physical mechanism and the channel interaction mechanism guided by the physical topology, the technical problem that a lightweight model is difficult to extract cross-modal strong coupling features at an edge end is effectively solved, and the sensitivity and accuracy for early composite faults are significantly improved without increasing the computing power burden.

This application relates to the field of organosilicon polymer materials, specifically disclosing a method for preparing and applying a functionalized MQ silicone resin. A method for preparing a functionalized MQ silicone resin includes the following steps: (1) raw material pretreatment; (2) simultaneous addition reaction: mixing and reacting a hydrogen-containing MQ silicone resin, a terminal olefin monomer containing a benzocyclobutene functional group, and a terminal olefin monomer containing a C-F bond; (3) post-treatment to obtain the functionalized MQ silicone resin; wherein the molar ratio of Si-H bonds in the hydrogen-containing MQ silicone resin, C=C bonds in the terminal olefin monomer containing a benzocyclobutene functional group, and C=C bonds in the terminal olefin monomer containing a C-F bond is 1:(0.2-0.6):(0.1-0.4). This application enables the synergistic effect of the rigid benzocyclobutene group and the fluorinated flexible segment, one-step grafting, and structural controllability, ultimately preparing a functionalized MQ silicone resin with excellent dielectric properties, high temperature resistance, low-temperature flexibility, good hydrophobicity, and excellent mechanical strength.

This invention relates to the field of photovoltaic monitoring technology, and discloses a photovoltaic monitoring adaptive sampling method, system, device, and medium based on multi-parameter coupled decision-making. The method includes: constructing a multi-dimensional environmental feature vector; dynamically setting a sampling threshold; determining the current operating mode and the corresponding baseline sampling period; introducing a hysteresis comparison mechanism and a delay confirmation mechanism to optimize the switching control of the operating mode; and introducing a correction coefficient to correct the baseline sampling period to obtain the final sampling period; performing mixed verification on the collected data and outputting data confidence labels; monitoring the operating status in real time; and judging and handling real-time operating faults based on the data verification results. This invention, by constructing a multi-dimensional environmental state vector, performing adaptive sampling based on the environmental state vector, and calculating the sampling period in real time, can output a clean dataset with confidence labels and back-optimize the threshold parameters of the decision layer.

The present application relates to an online batch data processing method and device for training deep neural networks, the method comprising the following steps: sampling a data batch from a given dataset; selecting a subset S from the data batch by using an orthogonalization-based objective function; training a target deep neural network based on the subset S. Compared with the prior art, the present application uses an orthogonalization method to remove the redundancy between subsets, provides an objective function based on orthogonalization de-redundancy correlation to measure the diversity and representativeness of the subsets at the same time, and provides an efficient optimization method based on the objective function and a corresponding data selection algorithm, which can efficiently select diverse and representative subsets.

This invention discloses a Z-axis micromechanical accelerometer and its control method, belonging to the field of acceleration measurement technology. An asymmetric seesaw sensing structure is constructed using mass blocks and a torsional elastic beam. Two symmetrical multifunctional capacitors are formed by designing electrodes below the two mass blocks. The torsion generated by the seesaw structure under Z-axis acceleration can be detected by the change in the differential capacitance of the capacitors, where the capacitors serve as the detection mechanism. Based on the detected change in torsion angle and the PID controller, a PWM voltage for force balance control can be calculated and applied to the symmetrical capacitors via a push-pull method, together with a DC tuned voltage. This generates a constant electrostatic negative stiffness, thereby reducing the equivalent stiffness of the seesaw sensing element, and also generates an electrostatic resultant force that can be modulated by the PWM, maintaining the position of the seesaw sensing structure constant, achieving closed-loop detection. The PWM voltage reflects the magnitude of the external acceleration.

The present application provides a kind of porous carbon and carbon nanotube combined preparation system and method, including activation fluidized bed, carbonization fluidized bed and carbon nanotube preparation fluidized bed;Activation fluidized bed is filled with energy carbon carrier, after oxygen and activating gas are imported, energy carbon carrier and oxygen occur combustion heat release, make activation fluidized bed temperature rise, first tail gas formed is imported into carbonization fluidized bed filled with carbon particle precursor, carbon particle precursor is carbonized under the action of high temperature carried by first tail gas, and generates carbide particle, and the second tail gas containing C1-C 30 ;Carbide particle is transported to activation fluidized bed, by controlling the gas flow rate of first gas inlet, so that carbide particle is always in the upper part of activation fluidized bed, and makes carbide particle activate in activating gas, and forms porous carbon particle;Second tail gas enters carbon nanotube preparation fluidized bed, and under the action of nanometer metal catalyst, C1-C 30 In it, is converted into carbon nanotube to realize low-cost co-production of porous carbon and carbon nanotube.