167results about How to "Address diversity" patented technology

The invention discloses a processing method for biomass solid molding fuel, which pertains to the technical field of solid fuel and aims at solving problem of comprehensive use of energy and biomass energy in rural areas. The technical proposal is as follows: biomass energy such as crop straws, shrub forest, forestry residues and the like are used as raw materials, and the secondary crushing technique and the mixed technique combining continuous feeding with adjustable feeding are adopted, therefore, two types of solid fuels, namely, block-type and granular fuels, can be produced. The technical proposal comprises three stages namely, pre-treatment of raw materials, solid molding and auxiliary assorting, and the specific working procedures comprise raw material cracking, drying, conveying, mixing, feeding, molding, cutting, cooling and measuring and packaging and adding a compulsory ventilating dust-removing system during the whole process. The processing method for biomass solid molding fuel solves the problem of diversification of biomass raw materials, and the biomass solid fuel production line constructed by adopting the processing method realizes the industrial continuous and stable production, solves the problems of high energy consumption and low production efficiency in the existing small workshop-style production, and is also beneficial to solving the rural energy problem and improving the rural environment.

The invention relates to an intelligent data acquisition and control terminal and an Internet of Things system with the same. The terminal comprises a data transmission module and a CPU (Central Processing Unit), wherein the data transmission module is connected with sensing equipment at the periphery for acquiring sensing data; and the CPU is connected with the data transmission module, and is connected with IP (Internet Protocol) network equipment at the periphery through a network interface. On one hand, the CPU receives a control command input from the periphery through the IP network equipment to receive and package the sensing data, and outputs corresponding packaging information to the IP network equipment; on the other hand, the CPU receives a diagnosis command input from the periphery through the IP network equipment to debug the terminal and the sensing equipment, and outputs corresponding state monitoring information to the IP network equipment. The intelligent data acquisition and control terminal realizes data interconnection between a sensing layer and a network transmission layer; and the Internet of Things system disclosed by the invention can obtain more data information through multiple transmission ways and provide better intelligent services for users.

A communication network false call automatic monitoring and real time interception method includes the following steps: a front-end signaling acquisition and processing step, for performing event synthesizing to signaling data on the monitored chain, generating detailed record of real-time calls, and then transmitting it to a false call monitoring server; a false call judging step, taking user position state information (the number of the mobile switching centre the user located and the busy / idle state of the user's mobile phone) from a home location register in the communication network through a false call monitoring server, automatically inter-comparing the user position state information with the call association information in the call detailed record according to a false call real time criterion rule, and then submitting the intercomparison result to a network management platform; a false call real-time interception step, in which the false call monitoring server send out a rewirable information to the network management platform for realizing false call real-time interception function.

The invention discloses a medical big data multi-center integration platform and method. Data of each data branch center server are accessed to a data center server and subjected to quality assessment, and a next step is entered if the quality assessment passes; if the quality assessment fails, the data center server feeds back the conclusion of failure to each corresponding data branch center server; the quality assessment includes the assessment of data integrity, data repetition rate, data bias and data size; the data center server establishes and maintains standard variables and a standarddictionary, meanwhile, preprocesses the data according to the standard variables and the standard dictionary; the data standardization processing includes standardization of the variables and standardization of data values; a one-to-one mapping relationship between data variables of the data branch center servers and the standard variables of the data center server is established by means of a similarity matching algorithm and manual auditing; and the data standardized by the data center server are utilized.

The present invention discloses an automatic conversion method for a station primary wiring diagram model. The method comprises the following steps: step S1, reading a wiring drawing file, and reading graphic data of a wiring drawing; step S2, traversing the read graphic data, analyzing a characteristic of device graph elements, and establishing a mapping relationship between a device graph element and a standard graph element; step S3, recognizing a connecting relation between the device graph elements, and establishing a device relation matrix; and step S4, according to the mapping relationship and the device relation matrix, generating an SVG vector graphic file. The method disclosed by the present invention solves the problems of diversity and complexity of drawing management and reduces the system capacity occupied by drawing storage to the largest extent.

A method of forming electrical isolated areas by adopting low temperature technology, a monolithic integrated process and a chip are provided. The integration of MEMS and an integrated circuit component can be realized through firstly etching relevant part of a component layer of an insulating silicon chip through adopting the wet etching, the plasma dry etching or the deep-slot ion etching method to form relative isolated grooves, separating the chip into a plurality of electrical isolated areas by the isolated grooves, then generating an insulating dielectric layer on the component layer through adopting the lower-temperature process under 400 DEG C, leveling the surface of the insulating dielectric layer on the isolated grooves, then forming relative connecting holes on the relative position of the insulating dielectric layer of each electric isolated area which requires the electric connection through adopting the wet etching or the dry etching, finally depositing a metal layer on the insulating dielectric layer, and forming a metal connecting wire which can metallically and mutually connect the connecting holes after the necessary etching, thereby realizing the necessary electric connection of relative electric isolated areas.

The invention relates to a rapid low-cost measuring method for fiber length, which comprises the following steps of: fiber rod preparation: preparing loose fiber samples to be measured into a fiber rod with fibers which are straightened and are randomly arranged in parallel; tuft preparation: clamping any cross section of the fiber rod, combing floating fibers to obtain a tuft; digital image acquisition: generating a tuft digital image through image acquisition equipment and transmitting the tuft digital image to a computer; tuft curve extraction: extracting the pixel information of the generated tuft digital image and conducting processing and computation to the pixel information to obtain a tuft cure which represents the fiber amount of each cross section of the tuft; and length index calculation: calculating the four length indexes of the fibers according to the tuft curve. The rapid and low-cost measurement of fiber length is realized by adopting the method and the existing universal equipment is utilized to the utmost extent to develop the rapid low-cost measuring method for textile fiber length and matched hardware and software systems.

The invention discloses a semi-supervised image classification method based on a generative adversarial network, which is used for solving the technical problem of low classification precision causedby lack of identification degree and diversity of features extracted by the network in the prior art, and comprises the following steps of: obtaining a training sample set and a test sample set; building a generative adversarial network model; performing iterative training on the generative adversarial network model; and obtaining a semi-supervised image classification result. According to the method, the features extracted at different levels are fused through a feature pyramid network, the classification capacity of the model is improved through the gaming process of the generative adversarial network, the recognition degree and diversity of the features are improved, the inter-class features of the classified images can be represented more richly, the image classification precision is improved, and a very good image classification effect can be obtained from a sample set only containing a small number of accurately labeled samples, and the method can be used for target classification in an actual scene.

The invention discloses a method for realizing a cognitive function of a wireless communication network system with the cognitive function, which is based on an invention patent application named as Wireless Communication Network System with Cognitive Function. The method substantially comprises the following steps of: obtaining cognitive flow; processing the cognitive flow and making a strategic decision; and executing the cognitive decision. When the method is applied to the prior communication network and the further communication network, an essential difference is the obtaining mode of cognitive information and the executing process of the cognitive decision. Based on the invention patent application named as Wireless Communication Network System with Cognitive Function, the invention can realize high cognitive competence for wireless environment, network environment and customer environment and autonomously decision control the wireless network with a set decision criteria based on the cognitive so as to lead the network to develop from a static working mode to a dynamic self-adapting working mode. The invention has a good application development prospect.

An agile imaging satellite task planning method considering a drift angle constraint belongs to the aerospace field. Under the condition that a current agile satellite is in a push-broom imaging mode,a lot of regional target observation paths can be selected, variability is high, and a camera-image in-plane image shift compensation factor is not considered during a planning process. Aiming at theabove problems, the invention provides the agile satellite region target task planning method considering the camera drift angle constraint based on an improved perception ant colony algorithm. In the invention, large-range polygon effective area coverage is taken as a research target, a constraint condition in the planning process is fully considered and the observation paths are planned, and the improved perception ant colony algorithm is adopted to solve a plan. The method is suitable for task planning of an agile imaging satellite for large-range region observation.

The invention discloses an intelligent manufacturing method and system; the method comprises the following steps: receiving order product confirm information, splitting the order products into a plurality of order sub-modules according to basic module, variable module and specific module classifications, and creating a production order and forming purchase information; forming production scheduling information of the order products according to the production order; assembling the plurality of order sub-modules into order products according to the production scheduling information when the purchase is finished. The method splits the order products into the plurality of order sub-modules according to basic module, variable module and specific module classifications, makes production scheduling information, purchases the order sub-modules according to the basic module and variable module classifications, online arranges the specific module 3D printing, finishes order product assembling according to the production scheduling information, automatically online detects the products, packages the products, and forms dispensing logistics information, thus customizing products according to user demands, and satisfying user daily growing diversified and customized demands.

The invention relates to a visual defect detection method based on a multi-spectral depth convolution neural network. The method is used for the appearance defect detection of a photovoltaic cell sheet. By designing the multi-spectral neural network model, the effectiveness and accuracy of the extraction of a plurality of spectral features by the model are enhanced, and the decoupling of the features and the background is realized. By analyzing the characteristics of defects in multi-spectra and using the method of image multi-spectral information feature separation and extraction, the abilityof the model to extract multi-spectral image information features is enhanced. Compared with the LBP + HOG-SVM and Gabor-SVM surface defect detection methods, the designed multi-spectral neural network model has increase about 10% at the three indicators (precision, recall, F-measurement), but also can effectively solve the surface of the complex background texture, defect characteristics, shaperandom problems, and has the defect recognition accuracy of 94.30%.

The invention relates to a wireless ubiquitous network system structure, belonging to the technical field of a wireless network. The wireless ubiquitous network system structure comprises a ubiquitous resource convergence layer, a ubiquitous network gateway middleware, a business capability convergence layer and a service convergence layer. The ubiquitous resource convergence layer is used for organizing isomeric ubiquitous resources and shielding the isomerism of ubiquitous resource supplying equipment; the ubiquitous network gateway middleware is used for converting 6LoWPAN (IPv6 over Low power Wireless Personal Area Networks) data output by the isomeric ubiquitous resources into IPv6 (Internet Protocol Version 6) data; the business capability convergence layer is used for distinguishing and managing the business capability of the ubiquitous resources and shielding the isomerism of wireless equipment; and the service convergence layer is used for comprehensively managing the ubiquitous resources and generating corresponding web services, and supplying a uniform application interface to a user. According to a wireless ubiquitous network system, the problem that the data of different IP (Internet Protocol) layers in a ubiquitous resource fusing process is various is solved; and a new way for the innovative development of an open and mixed ubiquitous network business is provided by a uniform application programming interface.

The invention relates to a system for realizing multidirectional issuing of relay protection operation information in a smart grid. The system comprises a universal Internet area, a mobile accessing management area, a power office affair handling management area and a power production large area, wherein the universal Internet area, the mobile accessing management area, the power office affair handling management area and the power production large area are successively connected. The power production large area comprises the components of a transformer substation terminal station which is used for acquiring and uploading information of relay protection equipment in real time; and a scheduling end main station which is connected with the transformer substation terminal station through a power data network and is furthermore connected with the power office affair handling management area for performing analysis, processing and multidirectional issuing on the received data of each substation. The system and the method for realizing multidirectional issuing of the relay protection operation information the smart grid have advantages of greatly improving grid scheduling operation management efficiency, reducing workload and technical difficulty of operation personnel in professional maintenance, ensuring safe and stable operation of the transformer substation, realizing an advantages in efficiency, practicability and economic benefit, and laying the basis for high-efficiency operation of relay protection.

A composite foaming material is prepared from foamed polystyrene particles, silicate cement, powdered coal ash, affinity agent and foaming agent through proportional mixing. Its in-situ application method includes such steps as foaming the polystyrene particles by portable electrothermal steam foaming machine, stirring cement mortar by stirrer, sequentially mixing with others, stirring, and in-situ pouring.

The invention provides an antimony ore grade soft-measurement method based on the selective fusion of a heterogeneous classifier. The method comprises the step of together forming a feature space based on the pretreatment of antimony flotation froth image feature data and production data related to the grade of the antimony ore. According to the method, firstly, some feathers are randomly selected to form a plurality of sub-sample spaces. Secondly, a plurality of different sub-samples in each sub-sample space are sampled through the bootstrap sampling process. At the same time, the PCA analysis is conducted on each sub-sample to obtain key features that are high in sensitivity to grade change and free of / weak in dependency. Thirdly, two KELMs are conducted respectively for each sub-sample set to construct a candidate sub-model, based on an RBF kernal of better learning ability and a polynomial kernel type KELM of better generalization ability. Fourthly, each candidate sub-model is endowed with a weight based on the method of information entropy. Finally, all candidate sub-models are sorted from small to large based on the RMSE, and then an optimal weighted sub-model combination is selected as a final model for the prediction on the grade of the antimony ore.

The invention provides a river channel dredging, screening and mud-cleaning method and equipment. A combined lifting structure operating under action of negative pressure is adopted, stone with a large density and floating rubbish with a small density are screened out by means of dead load from rubbish mixed with mud and are respectively collected. A mud pump (4) is installed on one side of a boxbody (1). The lower portion of the other side of the box body (1) is provided with a mud pipe (5). The inner end of the mud pipe (5) communicates with a stone collecting device (3) vertically installed in the box body (1) through a mud jet opening (12). A floating rubbish screening box (2) is installed on the top of the stone block collecting (3). The problems that rubbish in small and medium-sized river channels are complicated and diversified, and mechanical operation is difficult are solved. The interception ratio of the stone and the floating rubbish reaches 90% or over. The river channeldredging, screening and mud-cleaning equipment is high in self-suction capacity, stable in conveyance and operation, simple and compact in structure and convenient to assemble, disassemble and maintain. The dredging construction efficiency is significantly improved, labor is liberated, mechanization of dredging of the small and medium-sized river channels is facilitated, and the river channel dredging, screening and mud-cleaning equipment is suitable for use and popularization.

The invention provides a commodity retrieval method and device and electronic equipment, and relates to the technical field of image processing, and the method comprises the steps: firstly, extractingto-be-retrieved features of a to-be-retrieved image based on a pre-trained neural network model; carrying out commodity retrieval based on a pre-established commodity feature library according to to-be-retrieved features of the to-be-retrieved image; wherein the commodity feature library is established by performing feature extraction on a to-be-extracted image after rotation transformation basedon the pre-trained neural network model. The method has the advantages that the problem of high commodity retrieval difficulty in the current new retail scene is solved in two aspects, different images can be distinguished more powerfully, dependence on mass data during model training is reduced, and intelligent development of the new retail industry is promoted on the basis of improving the image retrieval precision.

The invention relates to a portable multilayer foldable tool box, which comprises a box body, wherein the box body is connected with a first left upper box body through a connecting rod by using a shaft pin; the first left upper box body is connected with a second left upper box body through a connecting rod by using a shaft pin; the box body is connected with a first right upper box body through a connecting rod by using a shaft pin; the first right upper box body is connected with a second right upper box body through a connecting rod by using a shaft pin; the tops of the second left upper box body and the second right upper box body are provided with a box cover respectively; and the middle axis of the box body is provided with a movable handle which is connected with the box body, the first left upper box body, the second left upper box body, the first right upper box body and the second right upper box body through connecting rods by using shaft pins respectively. The invention has the advantages that: independent box bodies are regularly connected together through the connecting rods of various different forms by using the shaft pins, so that various articles can be stored in the tool box in a regular way, and a maximum loading volume is realized; and the portable multilayer foldable tool box is convenient and flexible for folding and unfolding, and is convenient to carry.

The invention provides a recommendation method, and belongs to the technical field of computers. By the aid of the recommendation method, the problems of poor novelty and diversity of existing recommendation results in the prior art can be solved. The recommendation method includes establishing recommendation algorithm pools on the basis of first preset optimization indexes; selecting a recommendation algorithm in the recommendation algorithm pools according to called times of recommendation engines; recommending information to users by the aid of the selected recommendation algorithm. The recommendation method has the advantages that the recommendation algorithm is dynamically selected according to the called times of the recommendation engines, in other words, the recommendation algorithm is dynamically selected according to application page access times of the users, accordingly, the business index optimization requirements can be assuredly met, the novelty and the diversity of recommendation results can be effectively improved, and the experience of the users further can be enhanced.

The invention discloses a method for determining relay protection device definite value by utilizing a formula editor self-defined template. The method comprises a first step of editing additional information of a relay protection device definite value form, namely, automatically obtaining information used by a header and a tail through a formula editor definition method to generate a header table style and a tail table style of a relay protection device definite value form template, a second step of editing the relay protection device definite value form template, namely, editing the additional information and relay protection device definite value information to generate a definite value template, and a third step of defining various definite value item computing method rules of the relay protection device definite value form, and defining computational formulae of different types for different definite value items of the relay protection device definite value form by utilizing a formula editor. The formula editor technology combined with the edition of the relay protection device definite value template is utilized, the problems of complexity and non-determinacy of relay protection device definite value computing methods are solved, and developing period and maintaining period of a definite value calculation procedure of a relay protection device are greatly shortened.

The invention discloses a method and a device for optimizing and configuring a comprehensive energy system containing the compressed-air energy storage. The method comprises the following steps of establishing a compressed-air energy storage (CAES) model suitable for planning a comprehensive energy system; adopting the investors of the compressed-air energy storage and other distributed power sources as game participants, adopting the respective capacity of each party as a strategy, adopting the full-life cycle income as the payment, and establishing a strategy type game model planned by the comprehensive energy system; establishing a specific game model under each cooperation mode according to all possible decision modes of multiple parties; carrying out the solving operation through an iterative search method; comparing and analyzing the NASH balance in each game mode to obtain an optimal capacity allocation result. Based on the method, by means of the game theory as a tool, the problems that the objectivity of multi-objective optimization is absent and the diversified decisions of all parties in the market environment cannot be reflected in the prior art can be solved. Therefore, the actual market condition can be better met and the auxiliary support can be provided for a market supervision department.

The invention provides a cluster discourse right preempting method, device and system, relates to the field of mobile communication and solves problems of diversification of a cluster communication system. The method comprises that: a cluster listening user initiates an RRC connection establishment process and sends a discourse right preempting request message to a cluster core network to apply for a discourse right; and the cluster listening user receives a discourse right authorization message sent by the cluster core network. The technical scheme provided by the invention is suitable for an LTE system so that discourse right preempting under multi-service scenes is realized.

The invention provides a method and a system for automatically auditing the whole process of medical insurance settlement. The auditing method comprises: constructing an audit engine unit, a pre-auditunit, a in-process audit unit and a post-audit unit. The audit engine unit comprises a standardization module, a rule audit module and an anti-fraud module. Prior Audit Module, both the in-process audit unit and the post-process audit unit exchange information with the audit engine unit, The audit engine unit performs rule audit on the original medical data, performs rule audit on the data approved in advance, performs rule audit and anti-fraud calculation on the data approved in the process, and obtains the medical insurance settlement audit result for the medical insurance original data andsettlement document data approved after the review. By constructing the audit engine unit, the pre-audit unit, the in-process audit unit and the post-audit unit, the application can cover the whole medical service process as a whole, and truly achieve the pre-alert, the in-process control and the post-audit.

The invention discloses a multi-objective optimization decision-making method for energy absorbing structure design of high-speed train in the field of mechanical structure optimization design, whichcomprises the following steps: determining the type of energy absorbing structure of the train and constructing a finite element model of the energy absorbing structure; Choosing design variables, optimizing objective function and constraint conditions, and fitting finite element model by response surface method, the optimization mathematical model of energy-absorbing structure is obtained. AdoptNSGA- Secondly, the Pareto front noninferior solution set is obtained by optimizing the mathematical model. According to actual working conditions, calculating weights of each optimization objective in the optimization objective function by adopting an optimal worst method; Using GRA-VIKOR integration method performs decision analysis on the Pareto front non-inferior solution set, and combines theweights to determine the optimal solution of the energy-absorbing structure design. The invention solves the ambiguity problem between the diversity of the optimization solution set and the uniqueness of the engineering application scheme, realizes the optimization research on the energy-absorbing structure design of the high-speed train, and has the advantages of simple method, novel method, easy realization and stable result.

The invention discloses a semi-supervised learning method for GAN model training through adaptive supervised ratio control. According to the method, the problem that the authenticity identification rule obtained by adversarial device learning in the GAN model training process is insufficient to guide a generator to generate a high-precision case is effectively solved; through the self-adaptive supervision ratio, the model automatically controls the amount of fused label information, the data information is effectively utilized, and the generated case meets the diversity and fidelity at the same time.

The invention discloses a cutting propagation method for fiveleaf akebia fruits, and belongs to the field of plant cultivation. The cutting propagation method for the fiveleaf akebia fruits comprises the following steps of shearing annual fiveleaf akebia fruit branches into cutting slips with certain lengths; soaking the cutting slips in somatropin solution to obtain soaked cutting slips; and inserting the soaked cutting slips in a matrix. After cutting, the cutting slips are sprayed with water sufficiently, a tunnel is constructed, films cover the cutting slips, light transmittance is kept in a range of 50%-80%, the relative humidity is 80%-90%, the temperature is controlled in a range of 25 DEG C to 30 DEG C, and the films can be removed after roots are fixed. By using the cutting propagation method for the fiveleaf akebia fruits, the problems that differentiation and genetic diversity of populations in the traditional seed propagation method are high, and the merit of female parents is difficult to keep are solved; and the cutting propagation method is simple and feasible, and fills in a gap of cutting propagation culture on fiveleaf akebia fruits which are wild plant resources. By using the cutting propagation method, seedlings of the fiveleaf akebia fruits can be obtained quickly; and a favorable provenance guarantee is provided for effectively developing the medical value of the fiveleaf akebia fruits.

The invention discloses a simulation method and device, electronic equipment and a storage medium, and relates to the field of intelligent traffic and traffic flow simulation. The specific implementation scheme is as follows: the method comprises the steps of receiving a simulation request, wherein the simulation request at least indicates to calculate the driving characteristic of a target vehicle in a specified simulation environment; determining road information based on the simulation environment specified by the simulation request, and obtaining the lane change characteristic of the target vehicle under the road information; calculating to obtain a reference driving characteristic of the target vehicle under the lane changing characteristic, wherein the reference driving characteristic at least comprises a reference speed and a reference driving direction; and selecting a target driving characteristic matched with the reference speed and the reference driving direction included inthe reference driving characteristic from a preset real traffic flow database as the driving characteristic of the target vehicle in the simulation environment. Therefore, the diversity of simulationschemes is enriched, and meanwhile, the authenticity is also improved.

The invention discloses an information pushing method and device. The information pushing method includes: acquiring a user identification and activity historical data of a user corresponding to the user identification, determining the first probability and the second probability according to the activity historical data of the user for one user corresponding to any one user identification; determining the third probability that the user takes part in different types of activities in different activity scenes; determining the fourth probability that the user takes part in a designated type of activity in any one activity scene according to the first probability, the second probability, and the third probability; and performing information pushing on the user according to the fourth probability. The information pushing method can solve the problem that a recommended result is poor in diversity, has errors, or is large in limitation during information pushing based on a collaborative filtering recommendation manner.