234results about How to "Improve informatization" patented technology

The invention discloses a tongue body self-diagnosis health cloud service system based on a deep convolution neural network. The system mainly comprises a convolution neural network used for deep learning and training recognition, a tongue body segmentation method based on the deep convolution neural network, the deep convolution neural network used for tongue image classification and a health cloud service platform used for conducting self-diagnosis according to a recognized tongue image type. According to the tongue body self-diagnosis health cloud service system based on the deep convolution neural network, the automation and intelligent level of watching the tongue for diagnosis on the basis of a mobile internet can be effectively improved, more people can understand and participate in self-service health detection, evaluation and guidance, the health consciousness of the public is improved, and the self-health management ability is increased.

The invention discloses a deep convolutional neural network-based lung cancer preventing self-service health cloud service system. The system comprises a convolutional neural network used for deep learning and training identification, a segmentation module which segments out a lung region from a CT image based on a full convolutional neural network, a deep convolutional neural network used for lung cancer diagnosis classification, and a self-service health cloud service platform used for performing early prevention and treatment according to an identified suspected lung cancer type. According to the system, the automation and intelligentization level of mobile internet-based lung cancer screening can be effectively improved, more citizens can know and participate in self-service health detection, assessment and guidance, the sensitivity, specificity and accuracy of early lung cancer screening and clinical diagnosis are improved, the lung cancer can be early discovered, early diagnosed and early treated, and the self-health management capability is enhanced.

The invention discloses a breast cancer prevention self-service health cloud service system based on a deep convolutional neural network. The self-service health cloud service system mainly comprises a convolutional neural network applied to deep learning and training recognition, a partitioning module which is used for partitioning a breast area from a mammary gland molybdenum target radiography image based on a full-convolutional neural network, the deep convolutional neural network which is applied to BI-RADS classification and evaluation, and a self-service health cloud service platform which is applied to early preventing and treating breast cancer according to a recognized mammary gland inner structure, tumor and calcification types. The self-service health cloud service system can effectively improve the automatic and intelligent level of breast cancer screening based on a mobile internet, enable more women to know and participate in self-service health detection, evaluation and guidance, further improve the health consciousness of the public, and improve self health management capacity.

The invention relates to a breast cancer risk evaluation analysis system based on deep convolution neural networks. The breast cancer risk evaluation analysis system comprises a medical document pretreatment module, a word vector training module, a distributed semantic feature medical information extraction module, a long-term semantic associated feature extraction module and a breast cancer risk evaluation analysis module. The medical document pretreatment module is used for pre-treating medical text big data to generate a word table for word vector training; the word vector training module generates a primary word vector by training a deep convolution neural network; the distributed semantic feature medical information extraction module maps learned distributed feature representation to sample marker space through a fully connected layer and generates distributed semantic features of medical fields; the long-term semantic associated feature extraction module extracts long-term semantic associated features of medical clinical documents by the aid of the distributed semantic feature representation; the breast cancer risk evaluation analysis module trains a deep convolution neural network for breast cancer risk evaluation by the aid of the long-term semantic associated features and evaluates breast cancer risks. The system improves automation and intelligence level of screening of breast cancers.

The invention discloses a retail product inventory management system so as to manage goods ordering, goods transferring and goods warehousing between a plurality of retailers and suppliers; the retail product inventory management system comprises a database server, a Birt reporting server, an inventory management module, a pre-decision management module, a reporting management module, an information query module, a finance management module and a system management module. The retail product inventory management system builds a retail industry supplier and retailer supply chain model according to the retail industry operational features, thus realizing informationized and automatic management, improving inventory management level, and increasing profits. The retail product inventory management system can realize inventory management related business functions and visualized display, and provides improvement measures on ordering, prediction, goods positioning and transferring aspects, thus improving automation and informationized level in retail product supply chain management.

The invention discloses an external scaffold intelligent design method based on BIM, and belongs to the field of buildings, and the method comprises the following steps: step 1, determining external scaffold design parameters; step 2, establishing a material component information base; step 3, reading the CAD elevation of the building structure; step 4, building a building structure model; step 5,inputting design parameters of the outer scaffold; step 6, parameter calculation, design and checking; And seventhly, the formwork is intelligently designed. According to the BIM-based external scaffold intelligent design method provided by the invention, the current traditional engineering structure analysis can be thoroughly changed; According to the low-efficiency mode of CAD design and CAD drawing output, outer scaffold structure stress analysis is automatically completed on the basis of outer scaffold modeling, automatic drawing output after three-dimensional model and formwork optimization design is generated, and huge and heavy work caused by traditional design change is solved in a one-key mode.

The invention relates to a medical ward intelligent terminal based on internet of things technology, comprising a bed-head sensing layer, an information transmission layer and an application processing layer; the bed-head sensing layer comprises an intelligent bed-head terminal positioned on a bed-head wall and at least one extension unit electrically connected to the intelligent bed-head terminal, the information transmission layer comprises a wired and/or wireless network interface and a data interaction server, the intelligent bed-head terminal is connected to the data interaction server through a wired network interface, the data interaction server is connected to an existing network of a hospital information system through a wired and/or wireless network interface, and the application processing layer comprises a management and service module running on the intelligent bed-head terminal; the intelligent bed-head terminal comprises a master control HMI (human-machine interface) main unit and a touch interactive screen. The medical ward intelligent terminal has high automatic integrity and high extensibility, is effective in assisting medical staff in providing precise, accurate, elaborate nursing, nursing skill level of medical staff is increased, nursing information and intelligence levels are increased.

The invention provides a transformer substation online intelligent patrol centralized monitoring system and method. The system carries out the linkage interaction with a main and auxiliary monitoringsystem, obtains a main and auxiliary equipment linkage signal, obtains an associated equipment point location list according to the linkage signal, and constructs an inspection task according to the equipment point location and a pre-configured linkage strategy or creates the inspection task according to requirements; the inspection task is issued to corresponding station ends, centralized controlis performed on the station ends, the corresponding inspection task is split into a plurality of sub-tasks by each station end, and the corresponding sub-tasks are concurrently executed by differentinspection execution systems; multi-dimensional inspection data acquired by each inspection execution system of each station end concurrently executing the corresponding sub-task is received; and an intelligent analysis algorithm adopted by each station end is determined by utilizing a cloud edge cooperation method, the equipment state is identified by utilizing the intelligent analysis algorithmbased on the multi-dimensional inspection data, and alarming or/and equipment operation and maintenance are performed according to an identification result. The problems that robot inspection has an inspection blind area, a single video coverage area is small, and fault emergency disposal is not timely are solved, the comprehensiveness, accuracy and intelligence of transformer substation equipmentinspection are improved, and the linkage capacity of a system in a transformer substation is increased.

The invention relates to a neural network model-based agricultural precise fertilization system comprising a sensor data acquisition module for collecting a farmland soil parameter. The output terminal of the sensor data acquisition module is connected with a database connected to a central processor by a gateway and a data transmission module successively; and the input terminal and the output terminal of the central processor are respectively connected with input and output terminals of an RS remote sensing module, a GPS positioning module, a GIS geographic information module, a DSS crop growth decision support module. In addition, the invention also discloses a fertilization method of the neural network model-based agricultural precise fertilization system. According to the invention, division is carried out based on function modules; and the information level degree and the automation level degree are high. Results of the neural network research of the artificial intelligence technology field are integrated; sufficient approximation of any complex non-linear relation can be realized by using the neural network; and learning and self adaption of an uncertain system can be carried out. A neural network model is established and thus fertilization decision making is carried out according to maximizing of ecological benefits and economic benefits, thereby providing a method basis for the variable-rate fertilization practice.

The invention discloses an intelligent home integrated control system and an intelligent home control method. The system comprises a central processing unit, an environment monitoring device, a household appliance control device, a wireless warning device and a remote control terminal. The environment monitoring device, the wireless warning device, an entrance guard device and a camera aggregate obtained state signals to a memorizer through the central processing unit to be accessed by the remote control terminal. The remote control terminal is communicated with the central processing unit to control household appliances in the long distance through the household appliance control device and control the entrance guard device in the long distance. The intelligent home integrated control system and the intelligent home control method are easy to implement, abundant in function due to the fact that the household appliance control, environment monitoring, security alarming and remote control operation are integrated, and easy to operate and popularize.

The invention provides an urban illegal building identification system and method based on three-dimensional live-action data. The method comprises the following steps: step 1, panoramic image data of an urban road environment and three-dimensional point cloud data of a surrounding building are collected; step 2, the obtained panoramic image data and the obtained three-dimensional point cloud data are merged, and a mapping corresponding relation is established to form the three-dimensional live-action data; step 3, feature items of the three-dimensional live-action data are extracted; step 4, existing urban planning data are extracted and contrasted with the feature items of the three-dimensional live-action data, whether the feature items conform to the urban planning data is judged, and the building is an illegal building if the feature items do not conform to the urban planning data. By means of the novel method for identifying urban illegal buildings based on the three-dimensional live-action data, the influence of related influencing factors can be reduced to the minimum, and therefore the identification rate and robustness of the illegal buildings can be increased.

The invention relates to a road maintenance processing method. The method comprises the steps that a patrol task instruction sent by a first terminal is received, wherein the patrol task instruction comprises a patrol road mark marked in a three-dimensional geographic information system, a patrol process marked in a building information model BIM and a road component mark set; the patrol task instruction is sent to a second terminal, so that the second terminal carries out patrolling according to the patrol task instruction to acquire disease comprehensive information; the disease comprehensive information sent by the second terminal is received; according to the disease comprehensive information, the BIM information corresponding to a target road component is acquired; and disease analyzing is carried out according to the BIM information corresponding to the disease comprehensive information and the target road component, so as to acquire a corresponding disease maintenance plan. In addition, the invention further provided a road maintenance processing device and system. According to the road maintenance processing method, the device and the system, the three-dimensional geographic information system and the road BIM are combined to improve the scientific degree of the whole road maintenance process, and the road maintenance processing efficiency is improved.

The invention relates to a parallel and automatic integrated testing system for satellites. The parallel and automatic integrated testing system comprises a ground testing equipment module, an automatic testing module and a data storage management module, wherein the data storage management module is connected with the automatic testing module through a data communication protocol for both-way communication, and the automatic testing module is connected with the ground testing equipment module through the data communication protocol for both-way communication. The parallel and automatic integrated testing system for the satellites realizes integration of integrated testing management, design, implementation and application for the satellites, improves the systematization, informatization and automation of satellite testing work, and can effectively increase the testing efficiency, effectively control quality risks in a testing process, increase the application analysis value of testing data and realize substantial saving of labor cost and management cost. The system is quite applicable to batch satellite testing, and parallel design and implementation on various layers of the integrated testing system for the satellites are realized.

A watershed water environment operational operation and management platform comprises a water quality data collection module (1), a water quality data evaluation module (2), a water quality monitoringand early warning and prediction module (3), a water environment supervision and management module (4), a water quality simulation and prediction module (5), an intelligent report module (6), an auxiliary decision support module (7) and a basic map window operation (8). Based on the environmental hydrodynamics model, Combined with the bottom GIS development technology, adopting the WebService multi-level mixed system structure, it is developed on the basis of the watershed basic geographic information database, water environment management database and numerical simulation model database. Itcan provide an efficient and visual decision-making tool for the water environment management of the environmental protection and management department.

The invention relates to a smart power grid information management system based on a wireless sensor network. An Internet of Things (IOT) architecture of a smart power grid information management platform comprises a smart power transmission module, a smart power transformation module, a smart power distribution module, and a smart power use model. A USN basic network model of the IOT is used and a USN architecture comprises, from bottom to top, five network architecture layers including an awareness network, an access network, a network basic facility, a middleware, and an application platform. The wireless sensor network is used in online monitoring of a high-voltage transmission line, primary and secondary equipment of a transformer station, and especially the primary equipment, distribution network automation, and power using information acquisition power grid requirement side communication. The IOT is effectively and reasonably combined with a smart power grid so as to construct the smart power grid information management platform. The smart power grid information management system improves informatization and automation level of a power system production link, and satisfies a real requirement of the smart power grid for high efficient economy, good safety and reliability, and social interaction.

The invention discloses a tunnel state detection, monitoring and management system, and the system comprises an acceptance detection module which processes the data at a key position of a tunnel so asto recognize a defect in the tunnel, and carries out the two-dimensional display on the processed data; a key monitoring module which is used for displaying the monitoring information of different monitoring objects obtained by monitoring the structure at the key monitoring position of the tunnel according to different display modes; and a tunnel visualization display module which is used for carrying out three-dimensional modeling on the tunnel by utilizing the relevant information of the tunnel subjected to disease monitoring, creating a three-dimensional model of the relevant diseases of the tunnel in real time, and displaying the three-dimensional model in a tunnel space according to the position coordinates of various diseases in the tunnel. The system can improve the informatization, intelligence and visualization level of a road network system.

The present invention provides a transformer substation online intelligent inspection system and method. According to the transformer substation online intelligent inspection system and method, the linkage signals of the main and auxiliary device monitoring systems are obtained, and multi-dimensional information can be fused; meanwhile, different execution systems are used for concurrently executing the corresponding sub-tasks, so that the inspection efficiency is ensured; based on the data collected by each execution system, multi-dimensional detection data is fused, and full-automatic intelligent identification and analysis are carried out to form linkage recheck. According to the invention, the automatic full-coverage on-line inspection of the transformer substation, the automatic recheck and disposal of abnormal faults and the remote operation and maintenance management of operation and maintenance personnel can be realized, the problems of inspection blind areas, small and singlevideo coverage range, untimely fault emergency disposal and the like of robot inspection are solved, the comprehensiveness, accuracy and intelligence of the transformer substation device inspection are improved, and the system linkage capability in the transformer substation is improved.

The invention relates to a green channel vehicle checking method based on big data analysis, research and judgement. The method comprises the steps that green channel checking data is combined with charged vehicle passage data to form a green channel information big data database, on the basis, starting from the license plate number, tonnage, money amount, entrance-exit stations, vehicle types, cargo types and other attributes, analysis, research and judgement are conducted, data support is provided for green channel vehicle checking, green channel checking of the front end is guided in transition from manual judgement and experience judgement to data judgement, and accordingly the checking efficiency is improved; green channel vehicles are subjected to compiled analysis, the statistics workload is reduced, the efficiency of checking the green channel vehicles is improved, the inspection and rechecking difficulty is lowered, the effectiveness of cracking down the green channel vehicleswhich do not accord with the standard is high, analyzed, researched and judged cargo, vehicle, section and space-time distribution provides powerful decision support and guidance for the toll road management department and the transportation department, and the speed of checking the green channel vehicles and the traffic capacity of toll stations are improved.

The invention provides an intelligent remote wireless meter reading and billing system which comprises an intelligent electric meter, a data acquisition unit, a coordinator and a management system.The coordinator creates a wireless network with independent network identification.The data acquisition unit joins the network.The intelligent electric meter encrypts power utilization information and generates a network address containing the data acquisition unit, identification information and a power utilization information frame of the encrypted power utilization information are uploaded to the data acquisition unit, the data acquisition unit detects the sub-channel state, if a sub-channel is in a busy state, the data acquisition unit enters a sending delay state and continues to carry out detection, and if the sub-channel is in an idle state, the data acquisition unit sends a data sending request to the coordinator and sends the power utilization information frame after receiving data sending allowing information returned by the coordinator.When the coordinator receives the power utilization frame and judges arrival of sending slot time, the coordinator sends the power utilization frame to the management system, the management system decrypts the power utilization information, displays the power utilization information in real time, calculates electric charge and sends short messages containing electric charge information to users.

The invention discloses a data analysis center system for technical supervision of power grid equipment. A data information collection module (1) is respectively connected with an equipment overview analysis module (2), an automatic diagnosis module (3) and an expert consultation analysis module (4), the equipment overview analysis module, the automatic diagnosis module and the expert consultation analysis module are respectively connected with a technical supervision service module (5), and the automatic diagnosis module is respectively connected with the equipment overview analysis module and the expert consultation analysis module. By communication of the five functional modules, the state data information of the power grid equipment can be automatically collected, counted and analyzed. A transformation equipment automatic diagnosis sub-module and a transmission equipment automatic diagnosis sub-module are arranged in the automatic diagnosis module. The data analysis center system has the advantages that: the informatization level and automation level of the technical supervision operation of the power grid equipment can be greatly improved; and the efficiency, quality and timeliness of the technical supervision operation of the power grid equipment are improved.

An Internet of Things based water quality monitoring system data storage, wireless transmission and remote control method is implemented on the basis of a water quality monitoring station and a remotemonitoring site. The water quality monitoring station comprises a data acquisition and processing system, a sensor group and a solar power source monitoring system, and the sensor group comprises atleast one sensor supportive to RS485 interface. The remote monitoring site comprises a water quality monitoring software system and a water quality information database. The data acquisition and processing system is communicated with the sensor group through the RS485 interface and an electric wire, and water quality information is transmitted to the remote monitoring site through the Internet ofThings. Information interaction between the remote monitoring site and the data acquisition and processing system can be realized through the Internet of Things, and remote control of the data acquisition and processing system is realized. The method has advantages that the problem of monitoring water quality parameters under multiple states including a non-icebound state, before and after an icebound state and an icebound state of a water source can be solved, storage safety and transmission stability of water quality data can be guaranteed, and a certain data analysis and monitoring functionis achieved.

The invention belongs to the field of communication, and particularly relates to a system and method for achieving an electronic invoice. The system for achieving the electronic invoice comprises a consumption information acquisition generation module, a communication information acquisition generation module and a sending module. The method for achieving the electronic invoice includes the steps of achieving the electronic invoice in a card swiping consumption mode and achieving the electronic invoice in a cash consumption mode and includes the following steps of (1) acquiring and generating consumption information, selecting the consumption modes, namely selecting a card swiping consumption checkout mode or a cash consumption checkout mode, (2) acquiring and generating communication information, (3) sending, namely sending generated electronic bills to a communication equipment terminal of a consumer. Through the electronic invoice, the consumer does not need to worry that the invoice is lost, the phenomenon that the invoice is unclearly issued can be avoided, and the electronic invoice is convenient to use and store.

A snow melting vehicle system special for rapidly removing accumulated snow of a railway in wartime comprises a vehicle body, left rail wheels, an internal combustion engine, siphon type ice breaking drivers, channels, a rail, the accumulated snow, a bucket, combined type ice breaking pulverizers, a cab, a snow melter, a snow heating case, an electric power cabin, a snow water draining pipeline, right rail wheels, snow breaking channels and a snow suction machine. The snow melting vehicle system is suitable for rapidly removing the accumulated snow of the railway in wartime, provides good security for a combat environment and is especially superior to a traditional mode of removing snow through snow removing agents; and existing vehicle resources are utilized to be provided with snow removing equipment, the snow can be removed, and in usual, the snow removing equipment further can be dismounted, by additionally mounting a watering device and a cleaning device, the snow melting vehicle system can be refitted to be a watering vehicle, or a transportation vehicle, or a traction vehicle or a guardrail cleaning vehicle to be used. The function and equipment utilization rate of a snow melting vehicle are improved effectively, the informatization degree and automation degree of the snow melting vehicle are improved, and the research and development foundation and design experience are provided for researching scientific and efficient snow removing mode and snow removing equipment.

The invention discloses an ecological smart dam based on big data, which relates to the technical field of ecological dam and river flood discharge safety, and is characterized by comprising a data acquisition module, a data processing module, a data display module and a network communication module, the data acquisition module is used for sensing and collecting dam information in real time or atregular time; the data processing module receives the dam information acquired by the data acquisition module and performs real-time or timing analysis on the dam information based on cloud computingof big data; the data display module receives the processing data of the data processing module and realizes dam dynamic real-time effect display; and the network communication module is used for realizing data interaction among the data acquisition module, the data processing module and the data display module. The state of the dam can be mastered objectively in time, and flood discharge safety of the river channel is guaranteed; and intelligent operation and maintenance monitoring of the ecological dam is realized through technical means of Internet of Things intercommunication, informationsharing, big data analysis and calculation and three-dimensional entity model display.