1038results about How to "Improve build efficiency" patented technology

The invention discloses a disease knowledge map construction method and a system, a device and a storage medium thereof, belonging to the technical field of disease knowledge maps. The disease knowledge map construction method comprises the following steps: extracting or learning entity, attributes and relationships among entities from a multi-source database to form ontological knowledge representation; B. knowledge fusion: integrate knowledge to eliminate contradictions and ambiguity; C. Knowledge processing: After quality assessment, the fused knowledge is added to the knowledge base. It also includes disease knowledge mapping platform system, equipment and storage medium. Aiming at the problems existing in the prior art, it extracts entities, attributes and their relationships from multiple data sources, and fuses and processes them, so as to quickly construct a normalized and standardized disease knowledge map.

The embodiment of the invention discloses a laser-point-cloud-based urban road identification method and apparatus. The method comprises: a corresponding road edge model is constructed according to laser point clouds collected by a laser sensor; a height of a mobile carrier with the laser sensor is determined and a corresponding road surface model is constructed based on the height and the laser point; and according to the road edge model and the road surface model, a road surface point cloud and a road edge point cloud in the laser point cloud are eliminated, the rest of laser point clouds are segmented by using a point cloud segmentation algorithm, and an object corresponding to the a segmentation result is identified. The height of the mobile carrier is estimated based on the laser point cloud and the road surface model corresponding to the laser point cloud is constructed by using the height, so that the construction efficiency and accuracy of the road surface model are improved. Therefore, the identification efficiency and accuracy of the corresponding object are improved.

The invention discloses a CNN (convolutional neural network) construction method. The CNN construction method comprises the following steps: a unitization instruction is received, according to the unitization instruction, hardware resources for convolutional operation are configured into a convolutional unit, hardware resources for activating operation are configured into an activating unit, and hardware resources for pooling operation are configured into a pooling unit; a configuration file is read and contains convolutional unit configuration parameters, activating unit configuration parameters, pooling unit configuration parameters, the number of convolutional layers and the number of full-connection layers; the convolutional unit is configured according to the convolutional unit configuration parameters, the activating unit is configured according to the activating unit configuration parameters, the pooling unit is configured according to the pooling unit configuration parameters, and the number of the convolutional layers and the number of the full-connection layers are configured, so that the CNN is constructed. The invention further discloses a CNN construction system. The CNN construction method is high in construction efficiency.

The invention provides a method, device and system for constructing a page. The method includes the steps of obtaining page component data of the page, wherein the page component data include identification information of N target page components, identification information of component configuration information of the N target page components and assembly information of the N target page components, and the N is an integer larger than or equal to one; then obtaining page source codes of the target page components according to the identification information of the target page components and the identification information of the component configuration information of the target page components so that the page source codes of the target page components can be assembled according to the assembly information to generate page source codes of the page. Due to the fact that the page source codes of the page are automatically generated according to the page component data of the page, developers only need to configure the page source codes of the page components in advance and do not need to configure the page source codes of the page in advance, and therefore the page development efficiency is improved.

A remotely monitored and controlled building automation system is disclosed providing efficient offsite use of BAS personnel to monitor and control such systems while utilizing relatively inexpensive alarm monitoring services to advice of system emergencies. In a first preferred embodiment, the building automation system transmits a simplified BAS / energy alarm (including only building identity information) via a specially adapted and configured local security panel to an offsite monitoring center. Thereafter, the alarm is re-transmitted to a BAS web server and on to a BAS website. The BAS website provides notification of the energy alarm to trained BAS technicians located at a remote dealer and enables such personnel, via the website to maintain two-way communication with the building automation system from which the alarm originated. Such personnel are thereby enabled to fully analyze and properly respond to the circumstances which resulted in the alarm. In a second preferred embodiment, the building automation system transmits the simplified BAS alarm directly to a security monitoring center. A BAS controller is disclosed, especially configured and adapted to generate an “energy alarm” upon reception of sensor data indicating the existence of conditions beyond programmed parameters and to provide two way communication of detailed BAS data between the controller and an offsite location. In addition, an especially configured and adapted security panel is disclosed, including a specially coded sensor position, whereby reception of a simplified BAS alarm by the security panel is recognized and re-transmitted to a monitoring center as an energy alarm.

The invention provides a multi-scene drone locating and three-dimensional map mapping method based on a three-dimensional laser radar. In an indoor environment, when no GPS signal exists, a SLAM algorithm based on a three-dimensional laser sensor is built; in an outdoor environment, position information provided by RTK is mainly relied on to build the three-dimensional map, and after RTK loses theGPS signal, SLAM assists in locating. An indoor and outdoor three-dimensional map is quickly built, a convenient and efficient method is provided for obtaining the three-dimensional environment map,and the efficiency of building the three-dimensional environment map in the indoor environment and the outdoor environment is improved to a great extent; on the theoretical basis of mapping optimization of the SLAM algorithm, a drone platform SLAM algorithm is built based on the three-dimensional laser sensor, the three-dimensional environment map is built in the environment without the GPS signal, the problems of indoor locating and indoor and outdoor locating merging of a drone are solved, requirements of multi-scene drone locating are met, on the basis of obtaining high-precision attitude information, laser data is merged, and the three-dimensional map is built.

The invention discloses a method for achieving point-to-multipoint pseudo-wires, which comprises the following steps: establishing a border gateway protocol (BGP) protocol with downstream node equipment through negotiation according to the collected network topology information; and sending a BGP message to the downstream node equipment, wherein the BGP message carries point-to-multipoint pseudo-wire labels specifically distributed to a virtual private multicast service (VPMS) embodiment to establish the point-to-multipoint pseudo-wires. The embodiment of the invention also provides corresponding equipment and a system. The technical proposal of the invention does not need static configuration, but needs dynamic establishment, thus the efficiency for establishing the point-to-multipoint pseudo-wires is improved; besides, relative to the static configuration, the accuracy rate of configuration is improved.

The invention relates to an intelligent question answering knowledge base establishment method, establishment device and establishment system. The establishment method comprises the following steps: providing a domain knowledge data base, wherein the domain knowledge data base comprises a plurality of pieces of preset knowledge; receiving initial request information; performing semantic similarity calculation on the initial request information and the preset knowledge in the domain knowledge data base, and judging whether the maximum value of the semantic similarity calculation results is larger than a similarity threshold or not; if the maximum value of the semantic similarity calculation results is larger than the similarity threshold, storing a standard question and an extended question in the preset knowledge corresponding to the initial request information and the maximum value of the semantic similarity calculation results in the intelligent question answering knowledge base; if the maximum value of the semantic similarity calculation results is smaller than the similarity threshold, carrying out the abstract semantic recommendation process so as to acquire one or more specific semantic expressions corresponding to the initial request information, and storing the initial request information and the specific semantic expressions in the intelligent question answering knowledge base. The establishment method provided by the invention can improve the establishment efficiency of the intelligent question answering knowledge base.

The invention provides a special disease knowledge graph construction method and device. The method comprises the following steps of: on the basis of constructing a special disease knowledge system, extracting medical entity information by utilizing a pre-constructed entity extraction model; extracting attribute information and relation information of the medical entity on the basis of the specialdisease knowledge system; and based on the extracted information, building a knowledge map of the disease, wherein the entity extraction model is a model trained on the basis of a pre-labeled training data set, and the training data set is constructed by using medical word list matching in combination with manual auditing and labeling. When medical entities are extracted, the training data set required by entity extraction model training is constructed by using medical word list matching in combination with manual auditing and labeling, so that the workload of constructing the training data set can be reduced, the consumption of manpower resources and time resources is reduced, and meanwhile, the construction efficiency and knowledge rationality of a special disease knowledge map can alsobe improved.

The invention relates to a 3D virtual community construction method based on panoramic and real image and geographic information. The method comprises the following steps: establishing a virtual community structure; establishing a virtual community display platform through three procedures, including the first procedure of creating a virtual space based on a scene display outer curtain, creating a virtual ground and setting a wandering mode of a user on the virtual ground; the second procedure of adding a 3D entity on the virtual ground and the third procedure of synchronizing the virtual space and the geographic information of the real world; obtaining a virtual community based on panoramic and real image and geographic information; and enabling the environmental interaction of users in the virtual community and the interaction of a current user and other users. The inventive method increases the virtual community scene construction efficiency, improves the realistic effect, ensures the scene of the virtual community consistent to the scene of the real community, allows the user in the virtual space to not only enjoy the environment of the real world but also know the current geographical location, and enhances the realistic effect of the virtual community.

The invention relates to the technical field of automatic driving, and especially relates to a method and a device for determining a virtual test scene, an electronic device and a storage medium, which are used for improving the construction efficiency and authenticity of the virtual test scene of an autonomous vehicle. The method comprises the following steps: obtaining input scene configurationparameters, and determining a test map according to map information in the scene configuration parameters; configuring the test map according to automatic driving vehicle configuration information inthe scene configuration parameters to generate a virtual test scene corresponding to the test map, wherein the virtual test scene comprises at least one automatic driving vehicle and at least one scene element; performing virtual test on the automatic driving vehicle according to the virtual test scene; and determining the abnormal virtual test scene in the virtual test process as the virtual testscene of the automatic driving vehicle. According to the invention, simulation test scenes can be automatically generated on a large scale, so that the construction efficiency and authenticity of automatic driving scenes are improved.

The invention relates to an automated testing method and device. The method comprises the steps of: receiving a test request, wherein the test request comprises test task information and the test taskinformation comprises test environment configuration information and test scene configuration information; acquiring an extensible markup language (XML) environment configuration file, parsing the XML environment configuration file to obtain environment configuration parameters matched with the test environment configuration information and establishing a corresponding test environment accordingto the environment configuration parameters; acquiring an XML scene configuration file, parsing the XML scene configuration file to obtain scene configuration parameters matched with the test scene configuration information, calling a scene triggering interface according to the scene configuration parameters to trigger a corresponding test scene; and acquiring test configuration resource data andtesting in the test environment and the test scene according to the test configuration resource data. The method has the advantages that the constructing efficiency of the test environment is increased and the test scene can be quickly and conveniently constructed.

The invention provides a knowledge graph construction method and system. The method comprises the following steps: acquiring corpus information of at least one domain of a to-be-constructed knowledgegraph; carrying out word segmentation and part-of-speech tagging on knowledge text content fragments included in the corpus information to obtain the key words in the knowledge text content fragments;matching the key words with the domain ontology according to the preset rules to obtain the knowledge element instances in the knowledge text content fragments, the attributes of the knowledge element instances and the association relation between the knowledge element instances, wherein the domain ontology includes a domain topic, at least one model included in the domain topic, attributes of the model, and associations between the models, and the model includes at least one knowledge element instance; and constructing the knowledge graph according to the knowledge element instances in the plurality of knowledge text content fragments, the attributes of the knowledge element instances and the association relation between the knowledge element instances. The automatic construction of theknowledge graph is realized, the construction cost of the knowledge graph is reduced, and the construction efficiency and accuracy of the knowledge graph are improved.

The invention discloses a prediction system and a method of circulating fluidized bed household garbage incineration boiler NOx discharge. An integrated modeling method of a BP neural network algorithm and a multi-swarm particle swarm optimization algorithm introducing a simplex operator is adopted to construct a rapid economic self-adaptive updating system and a method for carrying out real time prediction on the boiler flue gas NOx discharge, so that the tedious complex mechanism modeling work is avoided. A dynamic change characteristic of NOx discharge is represented by utilizing the non-linear dynamic characteristic, the generalization ability and the real time prediction ability of the BP neural network algorithm; an initial weight value and a threshold value of the BP neural network are optimized by utilizing the particle swarm optimization algorithm, and the possibility of reaching a local optimum of the BP neural network in a training process is reduced; the simplex operator and the multi-population migration mechanism are introduced, so that the diversity of the particle swarm optimization algorithm and the local searching ability are improved, and the possibility of reaching the local optimum of the particle swarm optimization algorithm is reduced.

Software and methods for building a multiplatform installation program are disclosed. Embodiments of the invention create a novel class as a proxy for the Archive builder support method and call the methods in this new class for the build methods of custom beans instead those of the archive builder support. This proxy archive builder support method keeps a list of classes which have already been added for a given build. If the class is already been added, it is ignore on subsequent calls. If the class has not been added, it is passed to the archive builder support method to process and add it to the archive. In addition, Java provides APIs to inspect a class and find its dependencies programmatically. When the archive builder support method is called on a class, the class is also inspected for its dependencies. Any dependent classes are added as well using archive builder support method. This process is also performed recursively so dependencies of dependencies (and so on) are added as well.

The invention discloses a mobile laser measurement point-based indoor structured three-dimensional reconstruction method. The mobile laser measurement point-based indoor structured three-dimensional reconstruction method comprises performing room division on the basis of a laser scanning point cloud evidence raster map; performing space division on the basis of vector wall projection line segments; structuring a vector room plan and an indoor three-dimensional model on the basis of vector-raster overlaying. The mobile laser measurement point-based indoor structured three-dimensional reconstruction method makes full use of semantic information and structured elements of indoor space, converts an indoor three-dimensional reconstruction problem into room division and GIS-based (geographic information system-based) overlaid analysis problems, takes divided rooms as prior knowledge to solve the problem of shading and in complete data of laser measurement during a modeling process and can rapidly and effectively structure an indoor building three-dimensional model with topological consistency. Compared with other methods, the mobile laser measurement point-based indoor structured three-dimensional reconstruction method can better process point cloud data of indoor complicated environment and meet the demands on indoor structuralized three-dimensional reconstruction.

The invention relates to a system and method for monitoring and managing the energy efficiency of buildings, comprising data-acquisition devices, a communication network, a server that stores and processes the information, and a procedure for optimising energy consumption forecasts and economic evaluation of improvement alternatives. The monitoring and management method comprises the following steps: measuring; transmitting, receiving and transferring data; and processing, storing and interfacing with the user, wherein the interface with the user comprises three main modules, namely the alarm module, the monitoring module and the investment options module. In particular, the investment options module is for generating investment recommendations on the basis of improvement alternatives in terms of energy and / or services efficiency, with economic evaluations of the impact and profitability of the implementation of any of the proposed improvement alternatives.

The invention discloses a deep learning-based lip language recognition lip shape model library construction method which comprises the following steps: automatically analyzing the lip image and the speaking voice by a computer, extracting the characteristic value of the lip shape and generating characters corresponding to the speaking voice to form a training database, and learning the training database by using a deep learning technology so as to construct the lip shape model library. Through the technical scheme, the construction efficiency of the lip shape model library is greatly improved.

The present invention relates to a similarity calculation-based questions and answers knowledge base establishing method, device and system, wherein the establishing method comprises the steps of providing a field knowledge database, wherein the field knowledge database comprises a plurality of preset knowledge, and the preset knowledge comprises a standard question and a or a plurality of expansion questions; receiving the initial request information; carrying out the semantic similarity calculation on the initial request information and the preset knowledge in the field knowledge database, and determining whether the maximum value of a semantic similarity calculation result is greater than a similarity threshold value, when the semantic similarity calculation result is greater than the similarity threshold value, storing the standard questions and the expansion questions in the preset knowledge corresponding to the initial request information and the maximum value of the similarity calculation result in an intelligent questions and answers knowledge base. The establishing method, device and system of the present invention enables the establishment efficiency of the intelligent questions and answers knowledge base to be improved.

An integrated building production information system including design CAD (computer-aided-design) based on software of building, structure, and equipment, and databases built in the outside separately from the design CAD, the databases making an integrated DB (shared database)-CAD system of building, structure and equipment as an execution-linked system in DB-CAD's sharing of a standard database, wherein the integrated building production information system stores the information made compatible by three-dimensional superposition at the time of design into a shared database (DB) of the integrated DB-CAD system, and further receives and links information of this shared database to extemal systems such as a skeleton drawing CAD, a reinforcing bar and steel frame system and the like and produces execution information.

The invention, which belongs to the technical field of construction of an urban three-dimensional model, especially relates to a dense-point-cloud-based rapid construction method of an urban three-dimensional model. With the method, technical problems of low efficiency and the like in the prior art can be solved. The dense-point-cloud-based rapid construction method comprises: A, carrying out adaptive blocking on point cloud data; B, carrying out three-dimensional TIN model construction on the divided blocks; C, selecting an image with the best quality from a multi-view slanted image for each surface of the three-dimensional TIN model and using the image as a texture data source; D, after selection of the texture data sources with the best qualities, carrying out texture extraction; E, carrying out substitution of textures of shielded parts to complete vulnerability repairing of the textures; and F, pasting the preferably selected textures to the surface of the three-dimensional TIN model to generate a three-dimensional model with a lifelike effect. The method has advantages: firstly, the construction efficiency is high; and secondly, the texture quality is improved and the lifelike effect is realized.

The invention discloses a method for establishing a three-dimensional model. The method includes the steps: acquiring the medical detection image of a research object; converting the medical detection image to an image that can be identified by image processing software; utilizing the image processing software to identify and extract the profile information of all the components of the research object from the image; connecting the coordinate points on each cross section preset by the research object into a closed curve according to the profile information; and connecting the closed curves of all the cross sections together to form the three-dimensional model of the research object. Besides, the invention also discloses a system for establishing the three-dimensional model. When the technical proposal disclosed in the invention is used for establishing the three-dimensional model, manual surveying and mapping are not needed, thus improving the efficiency of establishing the three-dimensional model. In addition, as the medical detection image of a clinical individual can be acquired any time, the invention is not necessarily limited to a specified specimen and consequently applicable to clinical individual research.

The invention relates to an automatic wall building machine for hollow bricks. The automatic wall building machine comprises a lifting moving platform. A brick bearing conveying rack is arranged above the lifting moving platform, and the lifting moving platform is further provided with a brick piling and conveying machine which is located behind the brick bearing conveying rack. A brick overturning machine is arranged above the left end of the brick piling and conveying machine. A coating extruding and conveying machine is arranged at the right end of the brick piling and conveying machine. A brick smashing-compact machine is arranged at the right end of the brick piling and conveying machine, and the lifting moving platform is further provided with a control cabinet. The hollow brick scattered distributing, straightening, coating, piling and stacking functions are integrated, the hollow brick piling efficiency is greatly improved, manual wall building is replaced, the labor cost is saved, the piling quality of the wall is not affected by the skill of workers, and meanwhile the space occupied by wall building equipment and the workers is reduced. The automatic wall building machine is high in automation degree, low in running cost, capable of effectively helping people to solve the problem that the wall building difficulty is large and particularly suitable for long building projects.

The invention provides a page processing method and device, and a computer readable storage medium. The method comprises the steps of obtaining a plurality of page templates, a plurality of componentsand types of terminals corresponding to the components; determining a target page template in response to the page request of the client, and determining a target component matched with the type of the terminal according to the type of the terminal where the client is located; adding the target page template and the target component to a page generator, and obtaining a to-be-published page generated by the page generator; and sending the to-be-published page to the client, so that the client renders and displays the to-be-published page. According to the invention, the thematic page can be established, and the required target page template and the target component matched with the type of the terminal of the client are directly selected to construct the to-be-published page, so that the problem that the page template and the component need to be redeveloped when the special topic page is constructed each time is solved, and the construction efficiency of constructing the special topicpage for different clients is improved.

The invention relates to an emotion tendency detection method for comment data. The method comprises the steps of 1) acquiring comment data and performing standardization treatment on the same; 2) performing word segmentation treatment on sentences of the comment data subjected to the standardization treatment; 3) performing factor analysis on the sentences subjected to word segmentation and identifying various kinds of words having influence on emotion tendency detection analysis; 4) performing sentence pattern template matching on the comment data subjected to the factor analysis according to a sentence pattern template library; 5) determining antecedents corresponding to reference words in the sentences of the comment data and restoring omitted subjects; 6) regarding sentences containing evaluation object words, evaluation attribute words or emotion words as candidate emotion sentences, and identifying the sentence polarities of the candidate emotion sentences by using the maximum entropy model to obtain the emotion tendencies of the sentences. The method is based on the characteristics of diversification and orality of comment texts and improves the efficiency and the accuracy of comment data emotion tendency detection.

The invention discloses a frame and a method for building an outdoor data acquisition program. The frame comprises an application program template and a frame component library, wherein the application program template comprises a basic interface module for providing a basic interface for the outdoor data acquisition program and a container component class used for supporting the basic interface of the outdoor data acquisition program to run and providing a component library interface; and the frame component library is used for packaging data acquisition methods and providing components for building the outdoor data acquisition program through the component library interface. The frame is used in the method, and the method comprises the steps as follows: editing the application program template to build and edit the basic interface of the outdoor data acquisition program, and inheriting the properties of the container class of the interface to finish building of an outdoor data acquisition program organization structure; and calling the components in the frame component library through the component library interface.

The invention relates to an automatic establishing method of a DDS (data distribution service) distributive system based on XML. The invention relates to an automatic establishing method of a DDS distributive system based on XML, which aims at solving the problems that the DDS distributive system establishing process is complicated and the establishing efficiency is relatively low. The method comprises the steps: describing anticipator information, order release information and target model structure information of the system by utilizing an XML system scheme file, generating an operation plug-in of DDS by virtue of automatic code generation and coding, and establishing the DDS distributive system. By adopting the automatic establishing method, the establishing efficiency of the DDS distributive system is improved, the establishing complexity of the system is reduced, the error rate in the establishing process of the system is reduced, and the application of DDS is simpler and more efficient. The automatic establishing method is applied to the field of information transmission.

This application discloses a multi-vehicle cooperative location and map building method, device and equipment and a storage medium. The multi-vehicle cooperative location and map building method comprises the steps that a single-vehicle location and map building system obtains vehicle location and local road map data in real time and sends the data to a road 5G infrastructure near a vehicle; the road 5G infrastructure sends the vehicle location and local road map data to a cloud map server in real time; after the cloud map server splices the local road map data into global road map data through a data fusion and splicing algorithm, the global road map data are updated and maintained in real time and sent back to the road 5G infrastructure; and the road 5G infrastructure sends the updated vehicle location and global road map data to nearby vehicles in real time. When self-localization of a single vehicle is realized, cooperative location and map building with other surrounding vehiclesis carried out, constant updating of a local map is realized, a global map is maintained regularly, and the multi-vehicle cooperative location and map building method is more accurate, more efficientand more robust; and meanwhile, the cost is low, and the efficiency is high.

The present invention discloses a distributed OLAP analysis method and system based on pre-computation. The method mainly comprises: constructing a data model based on the distributed data warehouse, and defining data cubes according to the data model; starting pre-computation tasks for the given data cubes so as to pre-build the cubes in a parallel computation manner, and storing results in a distributed key storage system; through a series of steps, converting multi-dimensional analysis operations into key-value query operations on the data cubes, directing obtaining analysis results from the built cubes, and displaying the results in the form of rich and diversified charts; and using the NoSQL to carry out cache optimization on the OLAP query operation. According to the method and system disclosed by the present invention, the powerful processing performance of the Hadoop platform is fully exerted, and data cubes are pre-built, the problem that the query is slow due to that the traditional method needs a large amount of computation from the original data in each query is overcome, so that OLAP analysis efficiency and system performance are improved.

A scanning technique for the additive manufacturing of an object. The method comprises the irradiation of a portion of a given layer of powder to form a fused region using an energy source. When forming an object layer by layer, the irradiation follows a first irradiation path bounded by a first stripe, wherein the first irradiation path is formed at an oblique angle with respect to the first stripe. The first irradiation path further comprises at least a first scan vector and a second scan vector at least partially melting a powder and forming a first solidification line and second solidification line respectively, wherein the first solidification intersects and forms an oblique angle with respect to the second solidification line. After a layer is completed, a subsequent layer of powder is provided over the completed layer, and the subsequent layer of powder is irradiated. Irradiation of the subsequent layer of powder follows a second irradiation path bounded by a second stripe. wherein the second irradiation path is formed at an oblique angle with respect to the second stripe. The first irradiation path further comprises at least a third scan vector and a fourth scan vector at least partially melting a powder and forming a third solidification line and fourth solidification line respectively, wherein the third solidification intersects and forms an oblique angle with respect to the fourth solidification line