39results about How to "The implementation process is simple" patented technology

The invention discloses an anti-skid control method, device and system for a distributed wheel edge drive loader. The anti-skid control method comprises the steps that the current whole vehicle speed is estimated based on the obtained longitudinal acceleration of the loader, the measured vehicle speed of the loader and the rotating speed of each wheel edge motor; calculating the whole vehicle speed corresponding to the rotating speed of each wheel-side motor based on the rotating speed of each wheel-side motor; calculating the actual slip rate of each wheel based on the estimated current vehicle speed and the vehicle speed corresponding to the rotating speed of each wheel motor; estimating the current optimal slip rate based on the response speed of each wheel-side motor; when it is judged that a certain wheel slips on the basis of the actual slip rate and the current optimal slip rate, the anti-slip demand torque is calculated on the basis of the actual slip rate, the current optimal slip rate and the demand torque of the slipped wheel and an anti-slip algorithm, and the anti-slip demand torque is sent to a wheel edge motor corresponding to the slipped wheel. The maximum driving capacity of the loader can be achieved under the condition that it is guaranteed that the loader does not slip, and the running reliability of the loader on the road surface with the low adhesion coefficient is improved.

The invention discloses an offset minimum sum LDPC (Low Density Parity Check) code decoding algorithm based on a model-driven neural network, and relates to an offset minimum sum LDPC code decoding algorithm. The invention aims to solve the problem that a traditional LDPC decoding algorithm is insufficient in convergence speed, calculation complexity, flexibility and the like. The method comprises the following steps: step 1, constructing a model-driven offset minimum sum algorithm network model, wherein the network model comprises an input layer, a check node layer, a variable node layer and an output layer; step 2, an input layer calculates a receiving channel LLR by using the receiving signal y to carry out initialization; step 3, the check node layer calculates the LLR value of the CN-to-VN; step 4, the variable node layer calculates the LLR value of the VN-to-CN; and step 5, calculating final decoding output by an output layer. The invention belongs to the technical field of decoding.

The invention belongs to the technical field of fiber production, and relates to a low-tension interlacing method for terylene, which comprises the following steps of: arranging a first interlacing nozzle and at least one tensioning yarn guide between a first roller and a second roller, and counteracting part of drafting force borne by the terylene by utilizing friction force between the tensioning yarn guide and the terylene; therefore, the tension of polyester between the first roller and the second roller is reduced when the first interlacing nozzle is used for interlacing. According to the low-tension interlacing method for the polyester, the tension of the polyester between the two rollers is obviously reduced under the condition that the speed of the rollers is not changed, so that the pre-interlacing effect is improved.

The application provides a wind tunnel pressure regulating valve opening set fault diagnosis method based on a composite criterion, relates to the technical field of equipment fault diagnosis, and comprises the following steps: training a fault diagnosis model by using seen fault sample, extracting sample features by using an encoder, and obtaining classification information and reconstruction information of the sample by using a classifier and a decoder; then, according to the output result of the model on training data, a composite criterion is constructed in a feature space, a probability space and a sample space, and is used for identifying unknown faults; finally, when a new fault sample is input, the composite criterion is used to judge the sample, accurate diagnosis of known faults and effective identification of unknown faults are realized. The composite criterion method has a clear structure, a simple implementation process, can be extended on the basis of an existing fault diagnosis model, and has good engineering application value.

The application provides a method for observing rotor flux of an alternating current motor, and belongs to the technical field of motor control. The method comprises the following steps: calculating rotor observation flux based on a first voltage-type flux calculation model and stator voltage and stator current in a two-phase static coordinate system; obtaining an amplitude deviation by subtracting the amplitude of the rotor rated flux from the amplitude of the rotor observation flux, and obtaining a deviation compensation quantity by multiplying the amplitude deviation by a proportional integral operation; and compensating and correcting the first voltage-type flux calculation model based on the deviation compensation quantity to obtain a voltage-type flux calculation model with compensation correction, so that the amplitude of the rotor observation flux converges. The application converges the rotor observation flux to the rotor given flux by connecting a correction link based on the traditional voltage-type flux calculation model, and finally realizes accurate flux position observation.

The invention relates to a multi-task face sensing method and device, electronic equipment, a storage medium and a computer program product. The multi-task face sensing method comprises the steps that a to-be-detected face picture is acquired; a to-be-detected face picture is input into the multi-task face perception model, face features and positioning reference points are extracted from the face picture through the multi-task face perception model, and the positioning reference points are used for executing a positioning task about face key point detection; semantic reference points are calculated based on the positioning reference points through a multi-task face perception model, and the semantic reference points are used for executing semantic tasks about face state detection; and executing a positioning task and a semantic task based on the face features, the positioning reference points and the semantic reference points through a multi-task face perception model. Therefore, by explicitly utilizing the physical representation of the face key points, effective supervision for the semantic reference points is realized, the guiding effect of the face key points on the face perception task is enhanced, and the prediction effect of the face perception model can be improved.

The present application discloses a lithium extraction method for an alkaline solution, in which a lithium adsorption material is used in an alkaline environment. Lithium ions in the alkaline solution are adsorbed, the lithium adsorption material is replaced with an alkaline high-lithium low-impurity solution, and then an acid solution is used for desorption, so that a high-lithium salt solution having higher lithium content can be obtained. Lithium concentration can reach 5 g / L or more, and the high-lithium salt solution can enter a bipolar membrane system for electrolysis, thereby preparing an alkaline high-lithium low-impurity solution and an acid solution for replacement and desorption of the lithium adsorption material. In the method provided by the present application, lithium in an alkaline solution is adsorbed by resin, and the lithium is preliminarily separated from sodium and potassium. Then, the sodium and the potassium are gradually removed from the resin according to the difference of the retention characteristics of the lithium, the sodium and the potassium on the resin, so that the function of lithium purification is achieved, and lithium concentration is ensured.

The invention discloses a method for rapidly detecting the rolling oil acid value in emulsified liquid for cold rolling production, which comprises the following steps: S1, taking the cold rolling emulsified liquid to be detected, filtering, and then sequentially carrying out organic solvent mixing and extraction, high-speed centrifugal separation and negative pressure rotary evaporation operation on the cold rolling emulsified liquid to be detected, so as to obtain a rolling oil sample to be detected; s2, preparing rolling oil standard samples with different acid values; and S3, respectively detecting the rolling oil standard samples with different acid values and the rolling oil sample to be detected by utilizing an infrared spectroscopy method to obtain infrared spectrums of the corresponding samples so as to obtain a standard curve of the acid value of the rolling oil, and comparing to obtain the acid value of the rolling oil in the cold rolling emulsion to be detected. According to the method, the acid value of the rolling oil in the on-site emulsion can be quickly read and obtained, the result accuracy is high, the requirements for quick measurement and quick adjustment of on-site production of a modern cold rolling unit can be met, and high practicability is achieved.

The invention relates to the technical field of turbojet engines, and in particular to an impeller optimization method for a micro-sized turbojet engine based on a BP neural network. The method comprises the following steps: S1, constructing a sample library, wherein the sample library comprises a training sample library and a test sample library; S2, using the training sample library to train an initial BP network model, and using the test sample library to verify the trained initial BP network model, wherein an initial weight and an initial threshold are provided in the initial BP network model; S3, using a PSO-GA phase coupling algorithm to optimize the weight and threshold in the initial BP network model; S4, updating the BP network model to obtain a final BP network model; S5, inputting an optimization target into the final BP network model, outputting variables to be optimized, and completing the structural design of the impeller according to the variables to be optimized, thereby realizing efficient, accurate and low-complexity impeller optimization design.

The invention discloses an acoustic superstructure design method and device based on an automatic encoder, and the method comprises the steps: sequentially and independently training a decoder and an encoder, artificially constraining an output result of a bottleneck layer, and overcoming a common non-uniqueness problem of a conventional reverse design. And meanwhile, each detail in the neural network is not deeply studied excessively, the training process of the automatic encoder is changed from a complete'black box 'problem to a'grey box' problem, a decision-making process is further deeply understood, and the interpretability of the network is improved to a certain extent. The ultra-thin broadband sound absorption superstructure is successfully designed according to the method, numerical simulation verification and experimental verification are carried out on the ultra-thin broadband sound absorption superstructure, and the simulation result and the experimental result are well matched with the target curve. When the method is widely applied to on-demand reverse design of other types of acoustic superstructures, the design efficiency of the acoustic superstructures can be greatly improved, and the practical application of the acoustic superstructures is further promoted.

The application discloses a model-driven neural network-based offset min-sum LDPC code decoding algorithm and relates to an offset min-sum LDPC code decoding algorithm. The application is designed to solve the problems of the traditional LDPC decoding algorithm in convergence speed, calculation complexity, flexibility and the like. The application comprises the following steps: 1, a model-driven offset min-sum algorithm network model is constructed, wherein the network model comprises an input layer, a check node layer, a variable node layer and an output layer; 2, the input layer is used to calculate the received channel LLR by using a received signal y to perform initialization; 3, the check node layer is used to calculate the CN-to-VN LLR value; 4, the variable node layer is used to calculate the VN-to-CN LLR value; and 5, the output layer is used to calculate a final decoding output. The application belongs to the technical field of decoding.

The invention discloses a software implementation method and device for lottery drawing activity deployment, and relates to the technical field of finance, and the method comprises the steps: receiving customer transaction data; the customer transaction data comprises identification information of a first page where a transaction function executed by a customer is located; determining identification information of a second page of all sub-functions embedded in the first page according to the identification information of the first page; screening multiple pieces of lottery drawing activity information from a pre-stored lottery drawing activity maintenance table by utilizing the identification information of the first page and the identification information of the second page; the lottery drawing activity maintenance table records lottery drawing activity information according to the identification information of the first page and the identification information of the second page, and the lottery drawing activity information comprises parameters used for presenting a lottery drawing activity display page; and deploying the multiple pieces of lottery drawing activity information to the first page and the second page according to the identification information of the first page and the identification information of the second page. Development cost can be reduced, and lottery drawing activity deployment efficiency can be improved.

The invention discloses a water drinking behavior determination method and device, electronic equipment and a storage medium, and relates to the computer technology. The method comprises the following steps: determining an initial frame image and a target frame image according to a video stream; determining an initial liquid volume and an initial liquid level area from the initial frame image, and determining a current liquid level area from the target frame image; and determining a liquid volume change rate according to the initial liquid volume, the initial liquid level area and the current liquid level area, and determining whether the user drinks water according to the liquid volume change rate. According to the method, whether the user drinks water or not can be determined only by analyzing the liquid level change conditions in the initial frame image and the target frame image, the body features or facial features of the user do not need to be recognized, and the beneficial effect of protecting the privacy of the user is achieved while the scheme implementation process is simplified; and the embodiment does not need to perform water drinking behavior analysis on each frame of image in the video stream in real time, so that the beneficial effects of saving the system overhead and reducing the scheme implementation cost are achieved.

The embodiments of this specification provide a method, device, equipment and medium for evaluating solar radiation stability, wherein the method includes: obtaining historical solar radiation observation data of a target area, calculating the average state of the evolution of solar radiation intensity with a preset time interval in a preset time period as a reference sequence; collecting the solar radiation intensity of a target day as a first sequence according to the preset time interval; calculating the probability distribution functions of the reference sequence and the first sequence respectively, and calculating the Wasserstein distance of the two probability distribution functions, and determining the solar radiation stability of the corresponding day according to the Wasserstein distance, so as to solve the technical problem that the existing quantitative evaluation indicators mainly consider high-frequency fluctuations within a cycle, while low-frequency fluctuation information within a cycle is rarely considered, resulting in inaccurate evaluation results.

The present application relates to the technical field of unmanned aerial vehicle, and especially relates to a detection method and device for external parameters of unmanned aerial vehicle. The method comprises the following steps: determining a first description value of a bearing surface according to attitude data of the unmanned aerial vehicle when the unmanned aerial vehicle is static on the bearing surface; determining a second description value of the bearing surface according to camera data of the bearing surface shot by the unmanned aerial vehicle in a flight state; and determining an external parameter error of the unmanned aerial vehicle according to the first description value and the second description value. The embodiment of the present application can realize online detection of the external parameters of the unmanned aerial vehicle more simply, and the external parameter error is detected depending on fixed environmental information such as the bearing surface, so that the detection result has higher robustness.

The embodiment of the present invention discloses a phase identification method, device, communication device, communication system and storage medium, by obtaining local three-phase zero-crossing network reference time NTB information, taking the information that meets the first preset condition to form a first matching array, or when it is determined that the communication node to be identified has no zero-fire reverse connection, taking the information that meets the second preset condition to form a second matching array; obtaining the zero-crossing network reference time NTB information of the communication node to be identified, and taking any one of them as the information to be matched; searching the first matching array or the second matching array for the zero-crossing network reference time NTB information closest to the information to be matched, and the phase to which the closest zero-crossing network reference time NTB information belongs is the phase of the communication node to be identified. Thus, the implementation process is simple, and the identification is fast and accurate.

The invention discloses a function module for generating a corresponding data writing request according to a hash table, the function module is respectively connected with a hash table reading module, a data storage module and a request conversion module, the hash table reading module is used for reading the hash table and analyzing the content of each table item; the analyzed data is sent to the function module; the data storage module is used for receiving data needing to be stored by other modules, and the data width is a fixed value; the function module is used for reading the data of the corresponding data size from the data storage module according to the data size given by the hash table reading module, generating a non-aligned write request and sending the non-aligned write request to the request conversion module; the request conversion module is used for converting the non-aligned write request into an AXI write request which accords with a protocol and is aligned according to the bus width. According to the method, the input fixed-width data can be combined and split according to the hash table to generate the write data request of the corresponding bus, so that the storage efficiency is improved.

The present invention relates to a blue coloring treatment agent for weathering steel rust layer and a method for using the same. The coloring treatment agent is composed of a pretreatment agent and a coloring agent. The pretreatment agent is composed of: citric acid: 19-48 g / L, inorganic acid: 1.5-10 g / L, copper salt: 8-25 g / L, nickel salt: 3.9-12 g / L, auxiliary agent: 0.05-0.08 g / L, and the balance is water; the coloring agent is composed of: ferrocyanide: 45-147 g / L, penetrant: 2.5-10 g / L, and the balance is water. The surface of the weathering steel treated with the treatment agent of the present invention presents a blue color and has a good decorative appearance, providing a solution for the color performance and application scenario expansion of the coating-free weathering steel. The blue coloring treatment agent is water-based and does not contain harmful components such as volatile organic matter and hexavalent chromium. The coloring treatment has a simple implementation process and low construction cost, and is suitable for implementation at the construction site of weathering steel components.

The application discloses a kind of generation methods of customized software system.Compiles complete embedded software system, and each software module generates static library file in output directory.For current customer, customer-level open source software module and customer-level closed source software module are divided.New target path is established.For customer-level open source software module, customer-level closed source software module and system-level closed source software module, different contents are copied into target path.In the subdirectory of each customer-level closed source software module under target path, the original GN construction configuration file config.gni is modified.All files and subdirectories under target path constitute the customized embedded software system for current customer.The application distinguishes the software module open source or closed source for customer by whether there is source file or the original or modified GN construction configuration file, and is simple and convenient to realize and manage.

The invention provides a vehicle body pose measurement method, an error measurement method, equipment, a medium and a vehicle, and belongs to the technical field of vehicle body positioning. The measurement method comprises the following steps: establishing a regional coordinate system, and arranging at least two reference points on each of two sides of a preset positioning region; after the target vehicle enters the preset positioning area, collecting linear distances from a projection point of each wheel on the ground to two reference points on the same side through a sensor; obtaining projection point coordinates of each wheel in the regional coordinate system based on the linear distance; and based on the projection point coordinates, obtaining a measurement result of the vehicle body pose of the target vehicle in the regional coordinate system. According to the method, the reference point is set, the distance between the wheel projection point and the reference point is collected through the sensor, the vehicle body pose parameters are obtained in combination with geometric calculation, high-cost RTK equipment or laser radar equipment is not needed, and the method has the advantages that the hardware cost is reduced, the implementation process is simplified, and the deployment flexibility is improved.

The invention discloses a capacitor voltage self-balancing method of a three-level dual-active bridge converter. Different from the conventional balance control method, the invention provides an improved switch sequence which realizes the self-balance of the capacitor voltage from the modulation level. In the improved switch sequence, when the polarity of the output voltage of the NPC full bridge is not changed, only a single capacitor is used for energy exchange. The unbalance of the capacitor voltage enables the current of the transformer to be superposed with an asymmetric current component, thereby facilitating the balance of the capacitor voltage. The improved switch sequence does not change the original output voltage characteristics of the NPC full bridge. And meanwhile, additional capacitor voltage balance control is not needed, so that the complexity of a converter control system is greatly reduced, and the robustness of the converter is improved.

The application provides a metal part prepared by additive manufacturing and a surface composite strengthening method and tool thereof. The method comprises the following steps: S1, preparing a metal part (1) and a plurality of test pieces (2) by additive manufacturing; S2, initially selecting 5-10 groups of laser shock peening and shot peening process parameter combinations to perform laser shock and mechanical shot peening composite strengthening on the test pieces (2); S3, measuring the surface porosity, surface morphology and surface residual stress of the test pieces (2) after the composite strengthening, and screening out optimal process parameters; and S4, taking the metal part (1) and performing laser shock-mechanical shot peening composite strengthening on the metal part (1) according to the optimal process parameters. The application proposes a laser shock-mechanical shot peening composite strengthening method for the metal part prepared by additive manufacturing, which can significantly improve the surface layer performance of the metal part prepared by additive manufacturing; the process is simple to implement, and will not cause excessive deformation to the metal part prepared by additive manufacturing; and the surface after the strengthening is the final surface, and no other treatment is needed.

The present invention relates to a method for constructing a rectangular partitioning map based on edge orientation, and belongs to the technical field of data visualization. The present invention directly extracts a topological map from an original map, and obtains a divisible topological map by preprocessing the topological map so that there are no rings with a degree less than 4 in the topological map; on this basis, the present invention orients each edge in the divisible topological map using relative position constraints, and then obtains a directed map in which each ring is a rectangle; finally, the coordinates of each point are determined using the connection status of each point in the directed map, thereby obtaining a rectangular partitioning map. The present invention does not need to convert the original map into a PTP map, and can directly obtain a divisible topological map using a preprocessing method with set rules; at the same time, positioning and coordinate determination can be achieved through simple iterations based on the properties of the rectangular map. Therefore, the implementation process of the present invention is simple, does not require additional complex calculations, and can automatically realize the construction of a rectangular partitioning map.

The application discloses a heavy plate large heat input welding method capable of stress relief annealing, which comprises the following steps: processing a groove; symmetrically processing an X-shaped groove on a welding section of a thick steel plate to be welded, the X-shaped groove comprising a central flat part and two inclined parts symmetrically arranged on both sides of the central flat part in the thickness direction; and welding; controlling the assembly gap of the tailor-welded thick steel plate to be zero and adopting double-wire submerged arc welding to perform single-pass welding on the upper and lower surfaces of the thick steel plate respectively. The welding method can effectively improve the stress relief heat treatment adaptability of the weld by adopting the double-wire submerged arc welding method, reasonably setting the power polarity and the angles of the welding guns, matching the specific groove form, the process parameter window and the welding material, thereby improving the large heat input efficient welding and avoiding the large decrease of the low-temperature impact toughness of the weld after the stress relief heat treatment.

The application discloses a method for inhibiting wing roll motion of a flying wing layout aircraft. The method comprises the following steps: determining an angle of attack range of the wing roll motion of the flying wing layout through a free roll motion wind tunnel test; obtaining a position of a reattachment region of a leading edge vortex on an upper surface of the wing through a space flow field display wind tunnel test when the angle of attack of the wing roll motion passes through the space; and determining a gap jet with a proper position and size according to the position of the reattachment region, so that the gap jet generates a suction effect in the roll motion, controls a dynamic breakage and recovery mechanism of the leading edge vortex, and inhibits the wing roll motion of the flying wing layout. The method has the advantages of simple implementation process, obvious inhibition effect and strong engineering practicability.

The present invention belongs to the field of corrosion science and relates to a steel plate surface treatment agent, specifically a green coloring treatment agent for weathering steel rust layer and a method of using the same, wherein the coloring treatment agent is composed of a pretreatment agent and a coloring agent, wherein the pretreatment agent is composed of: hydrochloric acid: 20-35 g / L, oxidant: 20.4-34 g / L, and the balance is water; the coloring agent is composed of: ferrocyanide: 31-65 g / L, auxiliary agent: 0.1-0.25 g / L, and the balance is water. Compared with the prior art, the beneficial effect of the present invention is that the surface of the weathering steel treated with the treatment agent is green and has a good decorative appearance, providing a solution for the color performance and application scenario expansion of the coating-free weathering steel. The green coloring treatment agent is water-based and does not contain harmful components such as volatile organic compounds and hexavalent chromium. The coloring treatment has a simple implementation process and low construction cost, and is suitable for implementation at the construction site of weathering steel components.

The invention relates to the technical field of optical communication, in particular to a control layer and forwarding layer configuration data consistency verification method, which comprises the following steps that control layer controller software and forwarding layer equipment embedded software carry out data consistency verification request and configuration item data processing request interaction; the control layer controller software and the forwarding layer equipment embedded software independently carry out serialization and MD5 calculation of configuration items locally respectively; and the control layer controller software and the forwarding layer equipment carry out data consistency verification based on MD5. The method has the advantages that the interactive data volume is small, the network bandwidth is not influenced, the implementation process is simple, and the error probability during configuration item data comparison is reduced. Therefore, the consistency of the data of the control plane and the forwarding plane of the SDN network can be ensured, the stability of the SDN network is improved, and the problem that the network bandwidth is influenced by a large amount of interaction data in the existing verification method is solved.

The application discloses a multi-module degradation unit cooperative correction large-signal reliability modeling method, comprising the following steps: establishing a compact model topology for a radio frequency active device, and extracting initial parameters of each element in the compact model topology; based on the initial parameters, analyzing the degradation behavior of key characteristics of the device, and simulating by using the compact model topology to determine sensitive parameters; constructing a correction network, and realizing fast prediction of different sensitivity degrees and drift trends of the sensitive parameters by training the correction network, so as to map a multi-dimensional input vector into a sensitive parameter correction amount; constructing multiple degradation correction modules, each degradation correction module comprising multiple parallel distributed correction networks, so as to cooperatively correct different categories of sensitive parameters, and embedding the output sensitive parameter correction amount into the compact model topology to form a large-signal reliability model. The method can quickly and accurately realize degradation simulation and prediction of the large-signal characteristics of the device, and the realization process is simple and has strong applicability.

The present invention belongs to the field of advanced control technology for high-performance power conversion systems, and specifically relates to a reliable parallel control system and method for efficient bidirectional power conversion modules, including a bipolar current space vector modulation module, an input current sharing backstepping control module and an output voltage sharing backstepping control module; wherein the input current sharing backstepping control module includes an output current outer loop backstepping controller, an output voltage middle loop backstepping control unit, and an input current inner loop backstepping control unit; the output voltage sharing backstepping control module includes an output voltage outer loop backstepping control unit and an input current inner loop backstepping control unit; the current stress and voltage stress of the switch tube are greatly reduced, and a modular design is adopted, which is easy to expand; from the perspective of energy conservation, the output voltage sharing and input current sharing of each module are used as the entry point, and the power balance between modules is achieved through the power balance backstepping control method, which effectively improves the safety and reliability of the parallel system.

The application provides a link re-establishment method, device, terminal and network equipment, wherein the link re-establishment method comprises the following steps: in the case that the PC5 link of the first terminal occurs RLF, according to the RRC state of the Uu interface of the first terminal, the first information is sent to the network equipment by using the first mode; the first information comprises PC5 RLF information; the candidate second terminal information sent by the network equipment is received; PC5 link re-establishment is carried out according to the candidate second terminal information; wherein the first mode comprises any one of the following: through the Uu interface; through the information of random access; through the pre-configured resource. The present scheme can avoid the situation that the link can only be re-established by sending information to the network equipment through the second terminal, simplifies the implementation process, shortens the link re-establishment delay, and well solves the problem that the link re-establishment scheme for PC5 link failure in the prior art has a large delay.