59results about How to "Rich data types" patented technology

The invention discloses a method for establishing a comprehensive agricultural environmental information database. The comprehensive agricultural environmental information database comprises four sub-databases, i.e. a general attribute sub-database, a space sub-database, a video and audio sub-database and a model sub-database. The general attribute sub-database stores and manages agricultural environmental information attribute data through arranging a two-dimensional datasheet in a relation database management system SQL server. The establishment method of the space sub-database comprises that effective storage of space data in a relation database is realized through a space database engine and management logic is created through SDE in a classifying and layering way. The invention has the advantages of the practicability is high, the pertinence is high, the universality is good and powerful information support is provided for the comprehensive integration application of agricultural information.

The invention discloses a hydraulic brake system multi-source fusion fault indicating method based on a GA-BP network. The method comprises steps of: sampling oil liquid in a hydraulic brake system, randomly dividing samples into a training set and a test set, analyzing the samples and carrying out multi-source information fusion to obtain analysis data related to the oil liquid; using the genetic algorithm to optimizing an initial value of a neural network; using analysis data of the training set for modeling of the GA-BP network; testing the neural network obtained through training by use of the test set until performance of the neural network can meet requirements; and finally, using the trained GA-BP neural network to analyze states of the hydraulic brake system and indicating possible faults. According to the invention, the states of the monitored hydraulic brake system can be qualitatively and quantitatively evaluated; the fault diagnosis process is quite intelligent; and detection accuracy is quite high.

The invention relates to a control system for a digital home, in particular to a middleware system for the data and information management of the digital home. The middleware system for the digital home comprises a physical connection module, a drive adaptation module, a transmission module, a service module, a template module and an application module, wherein the physical connection module is connected with the transmission module through the drive adaptation module; the transmission module is connected with the template module through the service module; and the template module is connected with the application module. By the middleware system for the digital home, information service and device function service are seamlessly combined in the digital home, so that problems about the standardization and fusion of home devices and the information service are solved in a service level.

The invention discloses an automatic fire disaster alarm system based on big data, and relates to a firefighting system in the construction and installation work. The automatic fire disaster alarm system comprises the steps that a remote PC end, a mobile phone and mobile patrolling terminal equipment are set, a firefighting control chamber is arranged, a two-bus loop is adopted in an automatic fire disaster alarm system and an automatic firefighting alarm system, system alarming is not influenced if wire breakage happens to any point, firefighting linkage control is achieved, in other words, afire disaster alarm system is in linkage with a control table, an automatic hard pull wire is used for linkage control over a fire hydrant pump, a spraying pump and a smoke preventing and dischargingdraught fan in a firefighting water pump room, and a firefighting monitoring chamber can monitor liquid level display signals of a firefighting water pond. The automatic fire disaster alarm system solves a series of unpredictable problems possibly existing during specific installing since parameters are single and reliability of an early warning system is probably not high; rapid data circulation, diverse data types and value density can be achieved, starting of the fire disaster alarm system is greatly guaranteed, and obvious benefits are brought to engineering construction.

The invention discloses a method for establishing a convolutional neural network data set for training and recognizing a cardiac blood vessel type. The method comprises the steps that cardiac coronaryartery data after desensitization are acquired and stored in the form of a single static picture; in the single static picture, a corresponding color is used to mark a blood vessel under the currentbody position to form a coarse plot; pixel level marking is carried out on information marked in the coarse plot to form a fine plot; the color of the blood vessel in the fine plot is recognized, so that the picture becomes a single-channel image from a three-channel image; the single-channel image is stored as a binary image; and based on the desensitized cardiac coronary artery data, the coarseplot, the fine plot, the single-channel image and the binary image, the convolutional neural network data set which trains and recognizes the cardiac blood vessel type is established. According to theinvention, unified processing is carried out on the data; the data in the data set are real and diverse; the data set has the advantages of large data volume, rich data type, standard format and small error rate, and can be used for training neural networks with different functions; and manual intervention is reduced.

The invention discloses a multi-parameter monitoring using wireless sensor node with a self-triggering function, which comprises a sensor module, a short-distance wireless communication module, a data processing module, a parameter input device, an LED display unit synchronously displaying information acquired by sensors in the sensor module and keeping an operation state, a sensor primary and secondary type setting module used for setting the primary and the secondary types of the sensors, a data storage module, a power supply module and a wireless transmitting / receiving module, wherein the plurality of sensors include primary sensors activated by the data processing module and secondary sensors activated by the data processing module based on the information detected by the primary sensors. The wireless sensor node provided by the invention has a reasonable design, is convenient to network and maintain, simple and easy to operate, good in use effect, and high in degree of intelligence, and the plurality of sensors in the sensor module are divided into the primary sensors and the secondary sensors, so that the energy consumption of the node is lowered, and besides, the data acquisition efficiency and the data processing ability of the node are greatly improved.

The invention relates to a method for integrating multiple web systems. The method comprises the following steps: S1, enabling a user authentication server to record related information of a login user and generate a token and a verification code to return to the user; S2, accessing a related subsystem by using the token and the verification code, and enabling the subsystem to get the token and the verification code of the user and send a verification request to the user authentication server; and S3, enabling the user authentication server to authenticate the user by verifying correctness ofthe token of the user and if the authentication is successful, enabling the subsystem to get related information of the user in the subsystem to return to the user; or otherwise, returning authentication failed information and enabling an interface to return to a login interface. Compared with the prior art, according to the method, the multiple web systems are integrated via single point login, and the difficult problem of multi-system integration is solved by employing a minimum manpower; and on the premise of guaranteeing the integrity and the correctness of an original system as much as possible, the manpower development cost required for software integration is greatly saved.

The invention discloses an embedded intelligent telescopic integrated cabinet, and the cabinet comprises a cabinet frame, a first function module installed on the cabinet frame and a second function module installed on the cabinet frame. The first function module comprises a first panel fixedly connected with the cabinet frame, a certificate reader installed on the first panel, a fingerprint instrument installed on the first panel, and a scanning reader-writer installed on the first panel and located on the side edge of the fingerprint instrument. The second function module comprises a secondpanel which is fixedly connected with the cabinet frame and is connected with the cabinet frame through an elastic hinge, a point touch screen which is arranged on the second panel, a glass structurewhich is arranged on the second panel and is positioned above the point touch screen, a rotary door which is installed on the second panel and located on the right side of the glass structure, a roundglass structure which is installed on the second panel and located on the left side of the glass structure, and an ultrasonic probe which is installed on the second panel and located on the right side of the rotary door, so the labor intensity and personal injury risks of inspection and quarantine personnel are greatly reduced.

The invention discloses a multi-data-source dynamic data synchronous treatment method and system based on Internet supervision, belongs to the field of Internet + supervision, and aims to solve the technical problem of how to help a user to quickly construct a big data processing analysis process and realize low-cost quick construction of a data center. According to the technical scheme, data trends of various structured data, semi-structured data and unstructured data are fused, and a one-stop data development environment, visual process design, rich data types and intelligent task monitoring are provided; a user can quickly construct a big data processing and analysis process and quickly construct a data center at low cost. The method specifically comprises the following steps: data source management: managing a data connection service; data flow design: defining each data processing flow as a data flow job, and managing the data processing flows through the data flow jobs; and template management: carrying out process migration and reuse.

The invention discloses a red blood cell detection and classification method and device, a computer storage medium and electronic equipment, and belongs to the field of blood cell detection. The method comprises the following steps: firstly, carrying out full-view photography on a large number of blood slides, and establishing a slide scanning image group; a training data set and a verification data set are prepared for an image restoration model, an image detection model and a multi-task classification model from a slide scanning image group. And performing model training by using deep learning and convolutional neural network technologies, and obtaining a final image restoration model, an image detection model and a multi-task classification model by continuously performing parameter tuning and error analysis optimization on the model. In the application process, a blood slide to be detected is also subjected to full-view photography, and a slide scanning image is established. And obtaining a restored clear slide scanning image through the image restoration model, and obtaining the position and category of the red blood cells through image detection and a multi-task classification model. According to the invention, erythrocyte detection and classification can be realized rapidly, comprehensively, accurately and objectively.

The invention relates to a multi-modal marine environment data fusion acquisition system and method. The multi-modal marine environment data fusion acquisition system comprises a plurality of marine environment data acquisition stations, an unmanned ship and a data statistics server, wherein the marine environment data acquisition stations are distributed at marine data acquisition points, and thedata statistics server stores acquisition positions of the marine data acquisition points and ID numbers of the corresponding marine environment acquisition stations; the marine environment acquisition station comprises a camera, a voice input device, a text input device, a display screen, an acquisition station controller and a first data storage device; the camera is arranged on a rotating support, and the rotating support drives the camera to continuously rotate according to a preset rotating speed, and the camera collects video data, and the voice input device is used for collecting voicedata of a user; and the text input device is used for collecting text data of the user. The invention provides a multi-modal data acquisition form, capable of improving the data acquisition efficiency, and being richer in the acquired data types.

The invention provides a high-emission vehicle comprehensive integrated monitoring Internet of Things device which comprises a detection probe (3), a control assembly (2) and a connecting pipe (1), wherein the detection probe (3) and the control assembly (2) are arranged at the two ends of the connecting pipe (1) respectively; at least one detection ring (4) is arranged on the outer surface of the detection probe (3); each detection ring (4) is arranged in an inner cavity of a gas collecting tube (5); a gas inlet and a gas outlet of the gas collecting tube (5) are arranged along the length direction of the detection probe (3); and the size of the gas inlet of the gas collecting tube (5) is larger than that of the gas outlet of the gas collecting tube (5). According to the invention, it can be ensured that the collected automobile exhaust fully contacts the detection ring (4) after being converged in the gas collecting pipe (5), so that the detection result is more accurate.

A numerical control machine tool operating data collecting terminal having mobile communication capability and supporting data customization contains a UPS module, a mainboard, a 4G communication module, a switching power supply, an AC 220V plug, a 24V relay KA1, a 24V relay KA2, a 5V delay module KT1, a 5V relay KA3, an RJ45 interface and a PLC 24V power supply signal interface terminal row. After receiving a power-on signal of a PLC of a numerical control machine tool to be started, the collecting terminal is connected with the machine tool through the RJ45 interface (internet access) and connected with a server through the 4G communication module, and if connection is interrupted, the collecting terminal is continuously reconnected with the machine tool and the server to ensure normal communication with the machine tool and the server. After the collecting terminal, the machine tool and the server are in normal communication, collecting software automatically reads a pre-created machine tool identification file to communicate with the machine tool and identify basic information of the machine tool; and after the machine tool is identified, the collecting terminal parses a machine tool control file, collects information including the machining time, tool information, output statistics, alarming history, operation information, operation history, macro variables, PMC variablesand NC programs according to the requirements, and sends the information to the server.

The invention relates to a multivariate data acquisition system based on an embedded system. The system comprises a control chip, a matrix keyboard, a TFT touch screen, a triaxial accelerometer, a rocker, a ZigBee sending module and a ZigBee receiving module; the matrix keyboard, the TFT touch screen, the triaxial accelerometer and the rocker are all connected with the control chip; the control chip is connected with the ZigBee sending module; the ZigBee sending module is in communication connection with the ZigBee receiving module; the ZigBee receiving module is connected with a PC end. The invention provides the multivariate data acquisition system based on the embedded system, which is rich in data type and good in applicability.

The invention discloses a wireless sensor node with functions of automatic program updating and parameter correcting, which comprises a sensor module, a CPU (central processing unit) module, a short-distance wireless communication module, a data memory module, a wireless transceiver, a program loading and updating module, a parameter correcting module, an automatic information type identification module, an information transferring module and a power module. The short-distance wireless communication module is used for automatically searching adjacent wireless sensor nodes. The wireless transceiver is used for synchronously receiving control information consisting of parameter correction information and program updating information transmitted by an upper computer while uploading data acquired by the sensor module. The automatic information type identification module is used for automatically identifying and classifying control information types. The information transferring module is used for transferring the information classified by the automatic information type identification module to the program loading and updating module and the parameter correcting module respectively. The wireless sensor node is reasonable in design, convenient in networking and maintenance, convenient and effective in use, high in intelligent level and capable of automatically upgrading and updating internal programs and correcting operation parameters.