126 results about "Starfish" patented technology

The invention provides a static mixer with a bionic starfish type inlet structure and a mixing method thereof. The static mixer comprises a shell, a cavity is formed in the shell, one end of the shell is provided with an air inlet communicating with one end of the cavity, and the other end of the shell is provided with an air outlet communicating with the other end of the cavity; an air inlet pipe set is arranged at the end, close to the air inlet, of the shell and comprises a center air inlet pipe extending in the axial direction and five peripheral air inlet pipes evenly distributed in the circumferential direction of the center air inlet pipe. The central air inlet pipe and the peripheral air inlet pipe form a bionic starfish type inlet structure for simulating a central disc and a radiation wrist structure of starfish; a plurality of spiral pieces arranged in the axial direction of the cavity are arranged in the cavity, and the arrangement angles of the adjacent spiral pieces are different. By means of the bionic starfish type inlet structure design, hydrogen is evenly dispersed to the whole mixing area, the mixing uniformity of natural gas and hydrogen is effectively improved, and meanwhile the risk of hydrogen embrittlement is delayed.

The embodiment of the invention provides an energy storage system deployment optimization method and device based on a starfish optimization algorithm. The method is applied to the energy storage system deployment field. The method comprises the steps of establishing an energy storage system multi-objective optimization function and a constraint condition according to an optimization objective; under a constraint condition, solving a multi-objective optimization function of the energy storage system by utilizing a starfish optimization algorithm, and obtaining the position of a starfish individual with the lowest fitness in all starfish individual fitness when a preset iteration termination condition is met by iterating the positions and fitness of starfish individuals; and taking the position of the starfish individual with the lowest fitness as a final deployment scheme of the energy storage system. In this way, the deployment performance and optimization efficiency of the energy storage system are remarkably improved, the service life of energy storage system equipment is prolonged, cost minimization, system reliability and energy utilization rate maximization are achieved, and the optimization process is more flexible, more practical and more applicable.

The transformer substation connection fitting damage identification method provided by the invention comprises the following steps: emitting white noise to a transformer substation connection fitting to obtain a vibration signal of the transformer substation connection fitting; an optimal influence coefficient of the preset harmonic sine structural element is determined by adopting a starfish optimization strategy, an optimal harmonic sine structural element is obtained, and the starfish optimization strategy is that after influence parameters of the preset harmonic sine structural element are initialized, an objective function corresponding to the vibration signal is adopted to perform optimal influence parameter solution search; and carrying out morphological gradient combination product operation on the vibration signal by adopting the optimal harmonic sine structural element, and then carrying out spectral analysis to obtain a damage identification result of the transformer substation connection fitting. Therefore, accurate identification of the damage of the connection fitting is realized.

1. Name of the designed product: pool dosing device (starfish). 2. Use of the designed product: for pool dosing. 3. Design points of the designed product: in shape. 4. Picture or photo that best indicates the design points: perspective view.

The invention discloses a transmission spectrum analysis-based water quality detection method and electronic equipment, and the method comprises the following steps: carrying out data dimension reduction on a spectral transmittance data set to obtain a dimension-reduced sample data set; the original threshold value and the original weight of the BP neural network serve as the initial population position of the improved starfish optimization algorithm for optimization, and the optimal threshold value and the optimal weight of the BP neural network are obtained; and training a water quality detection model composed of the BP neural network with the optimal threshold and the optimal weight and the feature extraction module by using the sample data set after dimension reduction, and detecting the water quality by using the water quality detection model which is qualified in training. According to the method, the BP neural network optimized by the improved starfish optimization algorithm is adopted for water quality detection, and the condition of water quality can be accurately detected.

The invention discloses an atomization speed controller optimization method for a child atomizer, and belongs to the technical field of automatic control optimization, and the method comprises the steps: S1, determining to establish a mathematical model for a child atomizer control system with an atomization rate as a target, and the mathematical model comprises a performance evaluation mathematical model of the control system and an atomization speed control system model; s2, establishing a PID controller model of the atomization speed for the child atomizer control system by using a position type PID control algorithm; s3, introducing an adaptive strategy and a dimension adjustment mechanism to improve a starfish optimization algorithm, and establishing a mathematical model for the improved starfish optimization algorithm; s4, automatic optimization of atomization speed PID controller parameters is realized through an iteration process of an improved starfish optimization algorithm, so that an ISFOA-PID control method is obtained; and S5, applying the ISFOA-PID control method to the child nebulizer control system, so that the system can provide a more stable, accurate and comfortable treatment environment.

The invention provides a natural gas pipeline network hydraulic parameter inversion calculation method based on a starfish optimization algorithm, which optimizes the hydraulic parameters of a steady-state and transient simulation model of a natural gas pipeline network by combining the global exploration and local development mechanism of the starfish optimization algorithm, and comprises the following steps: collecting basic data of the pipeline network; simulation model constraint conditions are established, a natural gas pipeline network steady-state simulation model and a transient simulation model are constructed, a starfish optimization algorithm is adopted for hydraulic parameter inversion calculation, and finally natural gas pipeline network steady-state simulation and transient simulation parameter inversion calculation results are output. According to the natural gas pipeline network hydraulic parameter inversion calculation method based on the starfish optimization algorithm, the accuracy of the pipeline network simulation model is improved by optimizing the input parameters in the simulation model, and more accurate support is provided for scheduling and optimization of the natural gas pipeline network.

1. The name of the design product: hat (starfish). 2. The use of the design product: hat for wearing on the head to shield the sun and decorate. 3. The design points of the design product: in shape. 4. The picture or photo that best shows the design points: perspective view. 5. The bottom of the design product is not easy to see or not visible when used, omit the top view.

This invention discloses a biomimetic starfish robot, relating to the field of simulation robots. The biomimetic starfish robot includes a biomimetic exoskeleton, which is obtained by folding a flat plate structure with creases; a shape memory alloy, which is disposed on the biomimetic exoskeleton and drives the biomimetic exoskeleton to deform through its own deformation; and a driving unit for driving the shape memory alloy to deform. The biomimetic starfish robot proposed in this invention uses an electric heating system attached around the shape memory alloy, which can transfer heat to the surrounding environment in a short time. Because the shape memory alloy at the arm-foot junction has a small volume and a low temperature of the austenite phase, the circuit system only needs a relatively weak electrical signal to generate enough heat to deform the shape memory alloy. Therefore, this invention will greatly reduce power consumption, reduce noise pollution, and simplify the design of the circuit system.

The invention discloses a distributed photovoltaic consumption capability assessment method and system. The method comprises the following steps: evaluating the distributed photovoltaic absorption capacity based on the predetermined maximum photovoltaic absorption capacity; the method for determining the maximum photovoltaic absorption capacity comprises the following steps: determining each simulation operation scene; constructing a relational expression of the photovoltaic consumption rate, the system power loss, the transformer load rate, the line load rate and the weighted calculation value; constructing a comprehensive objective function based on the relational expression, and determining constraint conditions of the comprehensive objective function; based on the constraint condition and each simulation operation scene, solving the comprehensive objective function by using a starfish optimization algorithm to obtain each photovoltaic access scheme and a load flow calculation result of each photovoltaic access scheme in each simulation operation scene; performing data feature extraction based on each load flow calculation result and the constraint condition, and determining a margin index corresponding to each load flow calculation result; and performing analysis based on each photovoltaic access scheme and each margin index to obtain the maximum photovoltaic consumption capacity.

The application provides a lithium battery modeling and temperature estimation method based on starfish optimization and adaptive filtering, belongs to the technical field of lithium battery modeling, and solves the technical problem that accurate estimation of the temperature of a lithium battery cannot be realized in the case that noise covariance is unknown or inaccurate, thereby causing modeling difficulty, and the technical scheme is as follows: including the following steps: step 1) constructing a lithium battery variable parameter lumped thermal model based on the thermoelectric similarity principle to obtain model description of an identification system; step 2) constructing a starfish optimization iterative identification algorithm SFOA to accurately estimate unknown parameters of the lithium battery variable parameter lumped thermal model; and step 3) constructing a fading factor adaptive filter FFAKF to accurately estimate the temperature of the lithium battery thermal model. The application realizes lithium battery temperature estimation in the case that noise covariance is unknown or difficult to obtain.

1. The name of the design product: outdoor swimming pool lamp (starfish HCP218). 2. The use of the design product: the LED lamp for swimming pool lighting. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

The invention discloses a self-repairing underwater detection patch of a bionic starfish wrist foot friction nano-generator and a preparation method and application of the self-repairing underwater detection patch, and belongs to the technical field of underwater detection equipment. Comprising the following structures: a bionic topological structure, a gradient dielectric layer, an anti-ion permeation coating, a dynamic self-repairing material layer, a bionic mucus self-sealing layer and a silver-carbon nanotube composite electrode. Compared with an existing patch, the self-repairing underwater detection patch of the bionic starfish wrist foot friction nanometer generator has the advantages that the charge density (58 [mu] C / mvs.1. 1 [mu] C / m), the self-repairing efficiency (92% vs.0%), the compressive strength (78 MPa vs.25 MPa) and the power density (1.2 W / mvs.0.05 W / m) respectively achieve the advantages of 52.7 times, base-free improvement, 3.1 times and 24 times.

The invention relates to the technical field of preparation of liquid fertilizers, and particularly discloses a method for preparing a liquid fertilizer by fermenting and decomposing starfish raw materials, which comprises the following steps: preparing a microbial agent: uniformly mixing bacillus subtilis, an EM microbial agent and saccharomycetes, and adding into a brown sugar aqueous solution or a molasses aqueous solution to prepare the microbial agent; collecting and cleaning starfish; a sea breaking place; material mixing: putting the crushed starfish paste, brown sugar, corn flour and the prepared microbial agent into a container, adding clear water, and uniformly stirring; fermenting and deodorizing; fermentation is finished, namely fermentation is finished when fermentation supernatant liquid is dark brown and has no obvious fishy smell and clear liquid appears; filtering and liquid taking: precipitating and filtering, taking supernatant liquid, namely a starfish fermented and decomposed liquid fertilizer, and reserving fermentation residues as a solid fertilizer to be used as a crop base fertilizer; starfish zymophyte is used for fully utilizing marine organisms harmful to shellfish culture, environmental pollution caused by random discarding is reduced, and the use amount of chemical fertilizer is reduced.

The invention provides a lithium battery modeling and temperature estimation method based on starfish optimization and adaptive filtering, belongs to the technical field of lithium battery modeling, and solves the technical problem of modeling difficulty caused by incapability of accurately estimating the temperature of a lithium battery under the condition of unknown or inaccurate noise covariance. According to the technical scheme, the method comprises the following steps: 1) constructing a lithium battery variable parameter lumped heat model based on a thermoelectric similarity principle, and obtaining a model description of an identification system; 2) constructing a starfish optimization iteration identification algorithm SFOA to accurately estimate unknown parameters of the lithium battery variable parameter set total heat model; and 3) constructing adaptive filtering FFAKF with fading factors to carry out accurate temperature estimation on the thermal model of the lithium battery. According to the method, the temperature estimation of the lithium battery under the condition that the noise covariance is unknown or difficult to obtain is realized.

The application discloses a starfish-imitated tube foot array hydrogel electrode and a preparation method thereof. The bottom of the conductive hydrogel electrode is provided with a starfish-imitated tube foot array. A single starfish-imitated tube foot comprises a stem and a terminal biomimetic sucker. The outer side of the sucker is a circular table structure, and the inner side is a cavity composed of a hemisphere. The integrated tube foot microstructure of the electrode is obtained by laser cutting of the hydrogel. First, the inner cavity structure is cut. Then, the outer side of the biomimetic tube foot shape is cut. Finally, the single biomimetic tube foot is inserted into the block-shaped hydrogel to form an array. The preparation method of the conductive hydrogel electrode comprises the following steps: first, a prepolymer is synthesized; then, the prepolymer, cationic monomers and anionic monomers are polymerized to obtain a hydrogel with anti-swelling and stable and excellent conductive performance. The conductive hydrogel electrode has the self-adhesion and anti-swelling ability when working underwater, can be closely combined with human skin, reduces the electrode-skin impedance, and improves the quality of underwater electromyographic signal collection.

The present invention belongs to the field of laboratory environment control technology, and in particular relates to an artificial intelligence-based intelligent monitoring and regulation method for laboratory temperature and humidity. The method first establishes laboratory temperature and humidity PID control and designs temperature and humidity PID controllers. Next, an objective function is constructed, integrating indicators such as overshoot and rise time and performing normalization processing, and optimizing temperature and humidity regulation performance by adjusting weight coefficients. Then, an improved starfish optimization algorithm (SFOA) is used to optimize the proportional, integral, and differential coefficients of the PID controller through parameter setting and population initialization. Finally, a simulation is performed to obtain a response curve. Compared with traditional PID control technology, the present invention can more efficiently and accurately regulate temperature and humidity, effectively improving the stability of the experimental environment and the reliability of experimental results.

1. Name of the product in this design: Powder Puff (Twilight Purple Starfish paopaomi). 2. Purpose of this design: A powder puff for cosmetic use. 3. The key design features of this product are the combination of shape and pattern. 4. The image or photograph that best illustrates the design's key points: a 3D model.

The present invention relates to the technical field of data security, and discloses an off-site disaster recovery storage system for diagnosis and treatment auxiliary analysis data based on an open source engine. The system includes a data segmentation and compression module, a data backup module, a data migration path establishment module, and a differential data migration module; first, the initial diagnosis and treatment auxiliary analysis data set is segmented and compressed to obtain a processed diagnosis and treatment auxiliary analysis data set; then a data backup tree is established, and the processed diagnosis and treatment auxiliary analysis data set is backed up to obtain a diagnosis and treatment auxiliary analysis data storage tree; the data migration path is optimized using the starfish optimization algorithm to obtain the optimal data migration path, and finally differential data is generated according to data consistency, and the differential data is migrated on the optimal data migration path to complete off-site disaster recovery storage. The present invention achieves the purpose of off-site disaster recovery storage by compressing, backing up, and migrating the diagnosis and treatment auxiliary analysis data, and the method is objective and accurate.

1. Name of the Design Product: Front Mesh of Fan Cover (Starfish). 2. Use of the Design Product: Front mesh for fan grille. 3. Design Key Points of the Design Product: Lies in the shape. 4. Picture or Photo that Best Illustrates the Design Key Points: Perspective View 1.

1. The name of this design product: Christmas decorative pendant (Starfish M1058). 2. Purpose of this design product: used as a pendant on Christmas items. 3. The key point of the design of this product lies in its shape. 4. The picture or photo that best illustrates the design points: three-dimensional picture.

The utility model discloses an efficient golden chrysanthemum spreading and airing device which comprises a heat flow device, a drying cavity, a backflow base and a control table, the heat flow device is arranged at the upper end of the drying cavity, the backflow base is arranged at the lower end of the drying cavity, and the control table is installed on the outer surface of the heat flow device. The backflow base comprises a backflow base shell, a hollowed-out partition layer and a backflow assembly, the upper portion of the bottom of the backflow base shell is fixedly connected with the backflow assembly, and the bottom of the hollowed-out partition layer is fixedly connected with the backflow base shell. Heat flow generated by the heat flow device is guided upwards through the starfish-shaped return pipe, so that the hot air flow of the whole drying cavity circulates and is uniform, the golden chrysanthemum is fully dried and dehydrated, the purpose of uniform spreading and dehydrating is achieved, the device is simple in structure, the state of the supporting position of the golden chrysanthemum can be manually adjusted, the purpose of uniform spreading and dehydrating is achieved, and the drying efficiency is improved. And the golden chrysanthemum is independently placed, so that the airing effect is greatly improved.

The invention provides an intelligent design method and system for a heat management device of a new energy automobile, and the method comprises the steps: designing a basic structure of a micro-channel heat exchanger in the heat management device of the new energy automobile, and determining structural parameters in the basic structure to be optimized; a starfish optimization algorithm is adopted for optimization to obtain an optimal fitness value and construct a coefficient, a vulture algorithm is improved, a hunger mechanism of the improved vulture algorithm is fused into the starfish optimization algorithm, selection of exploration and development stages is carried out, a disturbance coefficient is introduced into the exploration stage, a genetic algorithm is adopted for variation of the development stage, and the optimal fitness value is obtained. The improvement on a starfish optimization algorithm is realized; and optimizing the structural parameters in the basic structure by using an improved starfish optimization algorithm to obtain the optimized structural parameters of the micro-channel heat exchanger. The heat exchange efficiency can be improved, flow resistance can be reduced, design parameters can be optimized, and therefore better heat exchanger performance can be achieved.

The invention discloses a wireless sensor network intrusion detection method based on a starfish optimization algorithm, which comprises the following steps of (1) enhancing the starfish optimization algorithm, (2) selecting and evaluating a feature subset, and (3) training and evaluating an integrated model, and can realize a high-precision and low-false-alarm wireless sensor network intrusion detection effect in a resource limited environment.

The present invention relates to a method for preparing an eco-friendly fertilizer by using a by-product produced during starfish extraction, and an eco-friendly fertilizer prepared thereby. According to the present invention, the eco-friendly liquid fertilizer can be prepared through a simple process by using waste liquid remaining after solids are collected from starfish protein hydrolysates. The fertilizer according to the present invention has an excellent composition of organic matter and nitrogen-phosphate-potassium (NPK) and exhibits growth-promoting activity due to starfish-derived organic matter, and thus, if the fertilizer of the present invention is used during crop cultivation, the quality and yield of crops can be effectively improved.

The detachable starfish antenna type cavity compensation connecting device comprises a first supporting frame and a second supporting frame, the first supporting frame can slide relative to the second supporting frame, and an adjusting mechanism used for adjusting the distance between the first supporting frame and the second supporting frame is further arranged between the first supporting frame and the second supporting frame. The end faces of the first supporting frame and the second supporting frame are each provided with a plurality of antenna compensation rods used for making contact with the bottom of a surrounding rock cavity in a hinged mode. The method has the advantages that the method can quickly adapt to different cavity shapes and sizes, and efficient and accurate cavity compensation is realized.

The invention belongs to the field of biological materials, and particularly relates to a starfish skeleton bionic scaffold and a preparation method and application thereof.The preparation method comprises the following steps that firstly, nanofiber of bionic starfish porous soft tissue is prepared through an electrostatic spinning technology; then, mineralizing the nano-fibers in simulated body fluid to obtain nano-fibers of which the surfaces are bionic with starfish bones; and finally, combining the starfish skeleton with chitosan hydrogel to obtain the starfish skeleton bionic scaffold. Compared with the prior art, the problem that in the prior art, hydrogel is insufficient in mechanical strength is solved, the starfish bone bionic scaffold is prepared, the synergistic effect of mechanical adaptation and osteogenesis promotion is achieved, and a new bone tissue engineering strategy is provided for clinical treatment of bone defect repair.

A vehicle speaker mount for a speaker includes a central bracket and a plurality of elongated portions extending radially outward from the central bracket. each of the elongated portions includes a respective engagement tab at a distal end of the elongated portion with each engagement tab is configured to be releasably connectable with a base of the speaker. Furthermore, the central bracket defines at least one aperture for receiving hardware to connect the mount to a vehicle surface. The vehicle speaker mount may include a threaded ring member and a base ring for securing the vehicle surface therebetween, or a plurality of flanges extending from a base ring for providing additional mounting surfaces.

1. Name of the designed product: shoes (starfish). 2. Use of the designed product: for wearing. 3. Design points of the designed product: in shape. 4. Picture or photo that best shows the design points: perspective view.

1. The name of the design product: dress (grid knitting handmade starfish nail bead sleeveless). 2. The use of the design product: for wearing. 3. The design points of the design product: in the combination of shape and pattern. 4. The picture or photo that best indicates the design points: front view. 5. The design product is a thin product, and the left view, right view, top view and bottom view are omitted.