23results about How to "Facilitate data sharing" patented technology

The invention discloses a high-precision laser ranging system and method based on multi-frequency modulation, and relates to the field of laser ranging, and the system comprises a multi-frequency laser transmitting module which comprises generators of different frequency bands and can be independently regulated, rapidly switched and matched with a high-precision frequency modulation unit; the laser receiving and signal conditioning module is used for processing signals by using an avalanche photodiode, a low-noise preamplifier and the like; the signal processing and analyzing module is used for calculating the distance by means of a high-speed digital signal processor in combination with a multi-frequency distance measurement algorithm; a display and control module and a temperature compensation module are further included, the method comprises the steps of multi-frequency laser emission, receiving conditioning, signal processing, display control and temperature compensation, and high-precision distance measurement is achieved through fine operation according to environment and target characteristics. The method is high in distance measurement precision, and error compensation in a complex environment exceeds 90%; the adaptability is high, and automatic adjustment is achieved in different distances and environments; the real-time performance is good, and a result can be obtained within 10 milliseconds; operation is convenient, wireless and data management is supported, and laser ranging innovation is promoted.

The invention belongs to the technical field of spectral analysis, and discloses a spectral analysis and image recognition combined intelligent stoma evaluation system and method.A three-dimensional scanning module captures the three-dimensional form of a stoma and the three-dimensional form of surrounding tissue of the stoma through the high-precision laser or structured light scanning technology; the spectral analysis module is used for accurately analyzing the color change of the stoma; the tiny color difference of the stoma area is detected to help to identify potential tissue abnormality; the image recognition and processing module is used for analyzing the collected stoma image by using a deep learning algorithm and automatically recognizing morphological characteristics of the stoma; the data analysis and feedback system is used for automatically generating a stoma health assessment report according to the collected multi-dimensional data; through a set standard reference value, an actual measurement value is compared, and a corresponding suggestion is given, for example, whether a nursing scheme needs to be adjusted or further medical intervention needs to be carried out. According to the method, the real-time state of the stoma is accurately evaluated through non-contact scanning and spectrum detection.

The invention discloses a cross-chain data penetration type sandbox supervision method and system for ideal lattice attribute encryption on a block chain, and the method comprises the following steps: a third-party platform selects and builds a block chain, configures each node on an alliance chain, and forms a supervision sandbox; the third-party platform carries out sandbox initialization, namely, a public key and a main private key are generated according to an ideal lattice encryption algorithm; the data provider, the data user and the supervision mechanism register identities on the block chain; arranging cross-chain data to be shared by a data provider, and defining an access strategy of the cross-chain data; a data user initiates an access request to the data and submits the access request; after the data user obtains the access authorization, data decryption is carried out by utilizing the attribute private key and the decryption ciphertext of the data user; and the supervision mechanism monitors and checks the flow direction and access condition of the data in real time through the block chain in the supervision sandbox, and identifies an abnormal access mode through an integrated anomaly detection mechanism of the smart contract. According to the method, the privacy and the integrity of the cross-chain data are guaranteed.

The invention discloses mixed analysis middleware based on a cross-type database and a query method. The mixed analysis middleware comprises a data source management module, a non-relational database object mapping module, a multi-tenant authorization management module, a context-independent grammar construction prediction analysis table, an expansion BNF elimination left recursion module and a distributed transaction control module. Through the middleware, the requirement that an application system needs to use data in a cross-database mode in the petroleum industry is met. Cross-database query of relational and non-relational databases is realized, database access and service modes are unified, large application systems and platforms containing various types of data storage products are supported, the development efficiency of the application systems is greatly improved, and the learning threshold of research and development personnel is reduced. Meanwhile, through the provided multi-tenant and authorization management, monitoring and review of data row-level security can be realized, sensitive data are effectively protected, and data leakage is prevented.

The invention relates to the field of three-dimensional technology, in particular to a two-dimensional and three-dimensional synchronous delivery method and system based on three-dimensional design. The method comprises the steps of obtaining a formal scheme file according to project initial data and a design task book; establishing a preliminary three-dimensional model based on the formal scheme file, including establishing a project target height and an axis net, and establishing wall, door and window and roof project elements in combination with a parameterized design technology; the method comprises the steps that a preliminary three-dimensional model is utilized to preliminarily design a two-dimensional and three-dimensional delivery model, a construction drawing three-dimensional model is established according to the preliminarily designed two-dimensional and three-dimensional delivery model, a final two-dimensional and three-dimensional delivery model is established based on the construction drawing three-dimensional model, and three-dimensional model extension is conducted according to the final two-dimensional and three-dimensional delivery model. According to the method, the BIM collaboration platform and the block chain technology are combined, various information of the building can be obtained in real time in the digital management and operation and maintenance process, and an accurate basis is provided for decision making.

The invention discloses a park closing method based on multi-dimensional data fusion. The park closing method comprises the following steps of 1, collecting environment related parameter information of a park through environment sensor equipment; step 2, acquiring access control related information in the park through access control equipment; 3, collecting image information of the park through an image collection device; 4, processing the environment related parameter information to obtain environment abnormity warning information; 5, processing the access control related information to obtain access control abnormity warning information; step 6, processing the image information of the park to obtain image analysis prompt information; and step 7, after the environment abnormity warning information is generated, acquiring access control equipment information, and when the access control equipment information is abnormal, generating first access control information. According to the invention, more comprehensive and intelligent closed management of the park can be realized.

The present invention relates to the technical field of information system construction, and in particular to a method for constructing a hepatobiliary surgery decision support system based on case reasoning. The method comprises the following steps: obtaining historical case information data of hepatobiliary surgery and establishing a connection with a hepatobiliary surgery case library to generate a hepatobiliary surgery case decision management database; obtaining new case information data of hepatobiliary surgery input by a user and performing case feature vector conversion and KD tree similar case retrieval processing, while performing case neighbor reasoning decision support analysis to obtain new case neighbor reasoning decision support results of hepatobiliary surgery; performing system architecture development and design on the case neighbor reasoning mechanism process corresponding to the new case neighbor reasoning decision support results of hepatobiliary surgery and uploading it to a cloud platform for system integration and pilot testing to construct a hepatobiliary surgery case decision support system. The present invention can help hepatobiliary surgery cases improve the scientificity and accuracy of decision support.

The application discloses a data storage method, device, equipment, storage medium and program product. The data storage method comprises the following steps: acquiring user data corresponding to a first user; performing data statistics on the user data from multiple dimensions respectively to obtain a target data set under a target dimension, the target dimension comprising at least one dimension in the multiple dimensions; determining a target unified identifier corresponding to the first user under the target dimension, wherein the unified identifiers corresponding to the same user under different dimensions are different; storing data in the target data set into a target data table corresponding to the target dimension in a target database based on the target unified identifier, and updating or adding information corresponding to the target unified identifier in a data item in the target data table. According to the embodiment of the application, the user data of the same user can be uniformly managed, and then user expansion and data sharing between different channels or products are facilitated.

The utility model discloses a miniature electrochemical workstation and relates to the technical field of electrochemical analysis. The micro electrochemical workstation comprises a workstation shell, a power supply assembly, a control assembly and a wireless transmission assembly are arranged in the workstation shell, and the control assembly is in communication connection with the wireless transmission assembly; the adapter shell is partially inserted into the first end of the work station shell, and a three-electrode plug-in terminal is arranged in the adapter shell; the three-electrode plug-in terminal is electrically connected with the control assembly; a three-electrode interface is arranged at one end, far away from the work station shell, of the three-electrode plug-in terminal, a first mounting interface is arranged at one end, far away from the work station shell, of the adapter shell, and the three-electrode interface is exposed out of the first mounting interface; wherein the three-electrode interface is used for being connected with a working electrode, a reference electrode and a counter electrode during an electrochemical test. According to the micro electrochemical workstation provided by the invention, detection and wireless data transmission are integrated, and the requirements of application in multiple fields of scientific research, teaching, environment monitoring and the like can be met.

The present invention is applicable to the field of augmented reality technology, and provides a bird observation method, system, device and storage medium based on augmented reality. The method includes: obtaining video information of birds; processing the video information according to a computer vision method to obtain identification information of the birds; superimposing the identification information and the video information to obtain a virtual image of the bird; determining the position of the virtual image in the real world according to the user's head movement information, and providing real-time bird identification and rich virtual information superposition through augmented reality-based glasses, so that bird watchers can easily identify birds and understand their characteristics and ecological information, while promoting social interaction and data sharing among bird watchers, and improving the overall bird watching experience.

The invention provides a personnel positioning system and device applied to dangerous chemical safety production. The system comprises the following steps: collecting personnel activity data of a dangerous chemical safety production area to form a personnel activity database; according to the characteristics of a dangerous chemical safety production area, the area is divided, and meanwhile, influence factors of personnel positioning are identified for different parts of the area; predicting the positioning of the personnel in the dangerous chemical safety production area based on the influence factors of personnel positioning to obtain a personnel positioning reference position; and setting key influence factors of the same type of region based on the influence factors of personnel positioning, identifying the same type of historical personnel activity information based on the key influence factors, and then obtaining the same type of historical personnel activity reference position through data analysis. According to the invention, the prediction capability and adaptability of the system can be enhanced, and powerful technical support is provided for safety management of hazardous chemical enterprises.

The present application relates to the field of Internet technology, and specifically to a data resource honeycomb provincial and municipal integration method, including: using a first symmetric key to encrypt first data to obtain first encrypted information; using multiple public keys in a shared list of the first data to encrypt the first symmetric key to obtain multiple first encryption keys; packaging the first encryption information, the data identifier of the first data, the version number of the first data, the shared list of the first data, and the obtained multiple first encryption keys into a first data packet, and broadcasting the first data packet; wherein the first data packet is transmitted in a data resource honeycomb network including multiple data resource honeycomb units, and the multiple data resource honeycomb units include the first data resource honeycomb unit. Through the present application, at least the problem that the data transmission efficiency of a single central transmission mode is limited by the server transmission bandwidth can be solved, and the data transmission efficiency can be improved.

The invention relates to the technical field of material management, and discloses a material management system based on a data base, comprising a business platform, a data base and a basic module which are in communication connection in sequence. According to the invention, the problems of errors of statistical data of each application module and the like in the prior art are solved.

The invention discloses an internet of things data storage adaptive synchronization method and system based on a block chain, and belongs to the technical field of internet of things and block chains. According to the method, firstly, sensor information is collected by an Internet of Things edge node and data is cached locally, a block chain consensus node verifies and consensus the received sensor data, then a block chain network issues rewards to the consensus node based on stored data, and a reward score is obtained by weighted summation of influence factors; the weight of the influence factor is dynamically adjusted in the storage process. According to the method, the synchronization window is adaptively adjusted according to the load, the energy consumption and the hardware cost are reduced, a self-adaptive incentive mechanism is adopted in the Internet of Things to encourage nodes to participate in bookkeeping and data verification, and the security and the reliability of the network are improved; the self-adaptive synchronization and verification process of the method reduces the time consumption of the block chain for storing the Internet of Things data, reduces the risk of data loss, and improves the overall storage efficiency.

The invention discloses a processing method for industrial internet identification analysis data, and the method specifically comprises the following steps: 1, carrying out the data processing near a device or a sensor, reducing the delay and bandwidth consumption, analyzing the data in real time, generating feedback, achieving the real-time decision through edge calculation, reducing the dependence on a cloud end, and improving the response speed; 2, dynamically adjusting a data stream processing strategy according to a real-time analysis result, preferentially processing important data, reducing unnecessary data processing burden, processing the data by adopting an event-driven mode, and triggering corresponding processing logic based on a specific event; the data transmission delay is reduced, the response time is shortened, the real-time processing capability is improved, unnecessary calculation is reduced, and the resource utilization rate is improved; the data security is enhanced by adopting a block chain technology, and the non-tampering and traceability of the data are ensured; the decision quality is improved through self-adaptive data stream processing, and the strategy is dynamically adjusted through real-time data.

The application discloses a kind of digital twin-oriented lamps and lanterns total element data acquisition and modeling method, comprising the following steps: step 1: construct lamps and lanterns four-dimensional integrated data system;Step 2: multi-source heterogeneous data synchronous acquisition and timestamp is covered;Step 3: data cleaning, fusion and time sequence alignment;Step 4: construct lamps and lanterns dynamic behavior model;Step 5: digital twin encapsulation and double-drive update;The application realizes that lamps and lanterns are from physical entity to digital twin high-fidelity mapping, provides standardization data and model basis for predictive maintenance, energy efficiency optimization, system simulation and other advanced applications, with the advantages of low cost, strong scalability etc..

The invention relates to the technical field of laboratories, in particular to a laboratory environment safety monitoring method and system and a storage medium, and the method comprises the steps: collecting three-dimensional modeling data in a laboratory, building a three-dimensional visual model of a laboratory environment, obtaining real-time information in an experiment period of the laboratory, and marking the real-time information in the three-dimensional visual model; real-time information in the experiment period is synthesized, and a laboratory state safety value is quantized and generated; judging whether to enter a laboratory early warning analysis stage or not according to the laboratory state safety value and the real-time information in the experimental period; after entering a laboratory early warning analysis stage, extracting experiment real-time information of the laboratory, analyzing the change of the experiment real-time information, and evaluating the fitness of the current experiment to the laboratory potential safety hazard; and performing early warning on the risk of the current experiment according to the laboratory state safety value and the fitness of the current experiment to the laboratory potential safety hazard.

The invention discloses a basement design method and system based on a BIM technology, and relates to the technical field of building design. The basement design method based on the BIM technology comprises the following steps that S1, a project is initialized, S2, a three-dimensional model of a basement is established through BIM software, the BIM model is analyzed through an AI algorithm, S3, cooperative work in a design team is achieved through a BIM platform, S4, the collision detection function of the BIM software is used, and S5, the BIM software is used for building the three-dimensional model of the basement. The method comprises the following steps: S1, carrying out clear height analysis on a basement, S6, carrying out construction simulation by using a BIM model, and designing an augmented reality aided design, and S7, providing support for later maintenance and operation of the basement by using the BIM model. According to the basement design method based on the BIM technology, the BIM technology, the AI algorithm and multiple advanced technologies of augmented reality are integrated, intelligence and automation of basement design are achieved, errors are reduced, and efficiency is improved.

The invention discloses a detection data processing method based on an LIMS system, and particularly relates to the field of detection.The data processing method comprises the following steps that S1, data collection is conducted, specifically, sensor data or other detection data are collected through the LIMS system, and the data are converted into a processable form; s2, data cleaning: cleaning the collected data, and removing unreasonable data such as abnormal values and missing values; s3, data analysis: analyzing the cleaned data, and extracting useful information; s4, model establishment: establishing a corresponding model according to an analysis result; s5, model evaluation: evaluating the established model; and S6, result display: displaying the processed data and model results in a visual form. The method has the advantages of improving the data precision and reliability, improving the data processing efficiency, facilitating data management and analysis, supporting multi-device data acquisition and facilitating data sharing and cooperation, thereby improving the working efficiency and the data analysis capability.

The invention provides an intelligent bracelet with a skin impedance detection function and an emotion recognition system, and relates to the field of emotion recognized.The intelligent bracelet comprises a shell, a main control board, a sensor board, a displayer and a lithium battery, the main control board, the sensor board, the displayer and the lithium battery are arranged on the shell, and the lithium battery is used for supplying power to the main control board, the sensor board and the displayer; the sensor board is electrically connected with the input end of the main control board; the display is electrically connected with the output end of the main control board; the main control board comprises a main control chip, a galvanic skin impedance detection assembly, a body temperature detection assembly, a storage chip, a battery management assembly and a motion detection chip, the galvanic skin impedance detection assembly, the body temperature detection assembly, the storage chip, the battery management assembly and the motion detection chip are all electrically connected with the main control chip, the battery management assembly is electrically connected with the lithium battery, and the lithium battery is electrically connected with the storage chip. The method has the advantage of realizing real-time and continuous monitoring of the emotional state of the autistic child.

The invention relates to the technical field of petroleum and natural gas engineering, in particular to a method for transmitting oil saturation data among different software, which comprises the following steps: 1) acquiring a first visual image which comprises oil saturation information, and performing graying processing on the first visual image; 2) performing image segmentation processing on the grayed first visual image through an image threshold segmentation method, performing numeralization processing on the segmented image, and establishing a mapping relation between a gray value and an oil saturation value; and 3) based on the mapping relation between the gray value and the oil saturation value, a second visual image is obtained through the numeralized gray value, and the first visual image contains oil saturation information. According to the invention, oil saturation data transmission between different software can be realized, the processing efficiency of data transmission is improved, and cross-software data sharing is promoted.

The present invention proposes a method for in-situ determination of the amorphous content of aluminum silicate fiber fabric at high temperature, including adding La2O3 as a standard sample, setting a heating system and obtaining the XRD spectrum of the sample at the target test temperature; performing peak separation processing on the characteristic peaks of the amorphous and crystalline phases in the XRD spectrum, fitting part of the amorphous phase diffraction information separately, and deducting it together with the background information; using the Rietveld method to perform full spectrum fitting on the spectrum deducted from the background, and accurately calculating the content of the amorphous substance. The present invention innovatively adopts the Rietveld full spectrum fitting method to determine the amorphous content of aluminum silicate fiber fabric at high temperature. The characteristic peaks of the amorphous and crystalline phases are separated by data processing software, and the amorphous phase is fitted separately, and then the amorphous phase is deducted together with the background information. Finally, the content of the amorphous substance is accurately calculated by using the Rietveld full spectrum fitting. The method is simple and convenient, easy to operate, and the calculation results are accurate.

The invention relates to a method for reading IGES file data and converting the IGES file data into XML. The method comprises the following steps that S1, an input IGES data format file is received; s2, reading and analyzing the input IGES data format file line by line; s3, storing each entity parameter in a classified manner; s4, re-typesetting the data content; and S5, outputting the XML file. The method is wide in application range, including but not limited to the fields of CAD / CAM system integration, product design data management, engineering data service based on a cloud platform and the like. The converted XML file is good in format and clear in structure, so that effective data extraction of special user software and various engineering software becomes very simple, a large amount of time for researching various entity type numbers and file structures of the IGES file is not needed, and the development cost is reduced.