133results about How to "Guaranteed originality" patented technology

The present invention provides an electronic medical record management method and system. According to the method and system provided by the present invention, the block chain idea is used in the electronic medical record system, the time chain based distributed database is used to keep patient historical medical record information original, and the source for each record can be traced. The method and system provided by the present invention have the following beneficial effects that: 1. medical record information and medical record operation information are ensured to be original and authentic; 2. data storage security of medical record information and medical record operation information is ensured; 3. personal privacy of the patient can be ensured not to be exposed; and 4. rapid sharing of medical record information and medical record operation information is realized.

The invention provides a preservation method for an electronic file. The preservation method comprises the following steps: step 102) generating an electronic evidence packet for the electronic file, marking a time stamp on the electronic evidence packet and then storing the electronic evidence packet, wherein the electronic file is contained in the electronic evidence packet, and step 104) sending and storing digital fingerprints to an electronic evidence server through a transmission channel, wherein the digital fingerprint of the electronic file is generated by utilizing the electronic file, and the digital fingerprint of the electronic evidence packet is generated by utilizing the electronic evidence packet. Correspondingly, the invention also provides a preservation system and a verification system for the electronic file. By adopting the technical scheme of the invention, relationship between the electronic file and an issuer is enhanced, primitiveness of the electronic file is kept, the electronic file is turned into direct evidence, notarization steps are simplified and the notarization efficiency is promoted.

Provided is a point cloud data automatic filtering method based on grid segmentation and moving least squares, including the following steps: performing segmentation processing on laser point cloud data to obtain a plurality of grids; adopting a dynamic quadtree method to establish corresponding indexes for each grid; determining whether the density of the laser point cloud data in the grids is larger than a density threshold, and adopting rarefying processing on the grids whose laser point cloud data density is greater than the density threshold; adopting moving least squares on the laser point cloud data in all grids to fit a digital elevation model which is used as a reference surface; calculating respective distance of each laser point in all the grids to the reference surface, and deleting the laser points whose distance to the reference surface is greater than a distance threshold, the remaining laser point cloud data being kept; and repeatedly performing the above steps on the kept laser point cloud data until the distance of the laser points in all the grids to the reference surface is smaller or equal to a current distance threshold.

The invention relates to the related technical field of behavior analysis simulation, and discloses a method of pedestrian monitoring and behavior recognition. The method comprises the following steps: S1, video acquisition is carried out on a somatosensory video device, and a corresponding depth image data stream and a color image data stream are acquired; S2, a system spatial coordinate-ground coordinate conversion matrix is calculated, ground projection is carried out on the depth information, a single human body is effectively segmented in the case of occlusion entering of multiple bodies, and non-human body targets are eliminated according to the ground projection; S3, three-dimensional depth information of a target body is acquired, and three-dimensional coordinates of 15 joints of the human body are positioned according to the depth information; S4, a human body three-dimensional model is built; S5, motion parameters of the human body are acquired; and S6, behavior features of the human body are acquired, and a processing result is fed back. The method and the system of the invention have the beneficial effects that the mounting is convenient and flexible; the pedestrian in-out conditions in a specified area is monitored and detected in a real time mode; and tracking and behavior recognition is carried out on a pedestrian entering.

The invention discloses a method based on generalized GPS data for determining passenger-waiting station alternative addresses of taxis. The method includes firstly, obtaining the pickup position GPS data and call service data of the taxis by collecting and preprocessing the generalized GPS data of the taxis; secondly, clustering the pickup position GPS data of the taxis according to different traffic service regions, taking cluster centers as initial alternative station addresses and achieving the visualization of the initial alternative station addresses; thirdly, determining frequently-used call service positions according to the call service data and achieving the visualization of the frequently-used call service positions; and lastly, selecting the focuses of all the call service positions within the service ranges of the initial alternative station addresses as the passenger-waiting station alternative addresses of the taxis. Compared with an existing method for determining the passenger-waiting station alternative addresses of the taxis, the method based on the generalized GPS data for determining the passenger-waiting station alternative addresses of the taxis has the advantages of manpower and material resource saving, good persistency and good combination with the development tendency of the industry.

The invention provides a credible extraction method for digital evidence of Android. The credible extraction method comprises the following steps: step 1, data are extracted from a mobile device, and timestamp information and a unique device identification number are obtained; a data verification technology is used for acquiring a hash value of a result of the step 1; a DES symmetric encryption algorithm is adopted for packaging and encrypting the hash value, the data, the timestamp information and the unique device identification number through a shared key generated randomly by an evidence obtaining client-side; an RSA asymmetric cryptographic algorithm is adopted for encrypting the shared key through a public key distributed by an evidence obtaining server, and the encrypted shared key is sent to the evidence obtaining server; after the evidence obtaining server receives the data, a private key of an RSA algorithm is used for decryption to obtain the shared key, and the shared key is used for decryption to obtain the hash value and a data package; a HASH algorithm is applied to the data package to obtain a new hash value, and whether the two hash values are the same is judged through comparison. The credible extraction method for the digital evidence of Android can improve the originality and false accusation forbiddingness of the data.

The invention discloses a blockchain evidence storing and obtaining method and device. The method comprises the steps that a source evidence file provided by a user is saved to a local storage area ofan evidence storing node; the source evidence file is processed to generate a cochain file fingerprint of the source evidence file; the cochain file fingerprint is written into a blockchain, whereinthe cochain file fingerprint is used for verifying a target evidence file acquired by an evidence obtaining node from the local storage area and corresponding to the source evidence file, and the evidence obtaining node accesses the blockchain. The technical problem that the originality of an extracted evidence file cannot be guaranteed is solved.

The invention relates to a geologic field information collection system. The collection system is designed by adopting a platform-based concept and integrates a project management module, a GPS (global positioning system) module, a geologic compass module, an image system module and a character system module, collection is performed by dividing geologic field sources into points, lines and planes, and information of geologic medium sources like geologic points, fault points, hydrologic points, drill holes, fractures, measured formation sections and pits is output in the form of geologic field information collection card module pieces and Excel data files respectively, so that requirements on filing of original data are met, direct utilization of geologic field information is realized, and integration of outdoor work and indoor work is realized. The collection system comprises a system function module, a geologic field information collection card module and a data output module. By the system, the geologic field information can be collected quickly and accurately; efficiency of field work and data accuracy are improved by providing functions of quick GPS positioning, a measuring ruler, an angulometer, a geologic compass and the like.

The invention discloses an undisturbed soil sampling device. The undisturbed soil sampling device comprises an outer pipe, a coring inner pipe located in the outer pipe, and a movable annular cutterhead located at the bottom of the coring inner pipe, wherein the movable annular cutterhead rotates in the outer pipe back and forth, so that the movable annular cutterhead is controlled to be opened and closed; when the movable annular cutterhead is opened, the bottom of the coring inner pipe is in an open state; when the movable annular cutterhead is closed, the bottom of the coring inner pipe is in a sealed state. By adopting the device disclosed by the invention, the lower end of the coring inner pipe can be completely sealed, so that the sampling integrity and undisturbed property are ensured to the greatest extent.

The invention relates to a RGB-D camera depth image recovery method combining color images, and belongs to the field of depth image recovery. The method comprises that a Zhang's calibration method isadopted to calibrate color and depth cameras, and internal and external parameters of the cameras are acquired; according to the principle of pin-hole imaging and coordinate transformation, coordinatealignment of the color and depth cameras is achieved; color and depth images of a scene are respectively acquired, and a depth threshold method is adopted to carry out binaryzation processing on theimages; a size of a cavity connected domain is judged to determine existence of cavities; an expansion operation is carried out to obtain a cavity neighborhood; depth value variances of pixel points of a cavity domain are calculated, according to the depth value variances, the cavities are divided into shielding cavities and in-plane cavities; color consistency and domain similarity are respectively adopted to recover the two types of cavities; a partial filter method is adopted to filter the recovered images, and noises are removed. The method ensures the depth image recovery, keeps the original information of the depth images as much as possible, and improves the recovery efficiency of the depth images.

The present invention relates to an electronic health record management system and method, which solves the technical problem of low confidentiality. The method is characterized in that: by taking a blockchain as a storage underlying layer of a health record system, de-intermediated trust of all nodes is achieved; all data cannot be tampered with, and traceability and consistency of all the data are achieved; and open transparency of non-sensitive data and confidentiality of sensitive and private data are achieved. The technical scheme of the present invention has the following beneficial effects that: the originality and authenticity of health data and operational data are ensured, and the health data and the operational data cannot be tampered with; the storage security of the health data and of the operational data of the health data is ensured; it is ensured that personal privacy and sensitive information cannot be leaked; and the technical scheme for fast sharing of health data and operational data better solve the problem and can be used in medical electronic applications.

The invention discloses a machine vision based forest fire preventive early warning system and a method thereof. The system comprises a collection end and a monitoring platform composed of a movementtarget foreground detection module, a flame feature extraction module, a flame tracking and identification module and an alarm module, can monitor a fire hazard uninterruptedly in 24 hours, can identify occurrence of the fire hazard and track flame accurately, and emits a fire hazard early warning signal by the monitoring platform so that relates work staff can take measures accurately, and the system is high in practicality. A Gaussian mixture background model is sued when video images are detected to identify whether there are moving objects in the video images, a modeling algorithm is complete, targets can be extracted from videos effectively, the fire hazard identification rate can reach more than 92%, and the fire hazard identification accuracy can be improved substantially.

The invention relates to the field of freight logistics application, specifically discloses a freight logistics application method based on a block chain and is to solve the problem of large data evidence collection difficulty in the later freight logistics link caused since all links in the freight logistics process are mutually independent, and data cannot be shared. The method is characterized by collecting freight logistics object data and establishing sub-block chains, and combining the sub-block chains to establish a block chain platform, thereby realizing trustworthy data sharing in the whole freight logistics process, enabling the data in the later freight logistics process to be scheduled, used and obtained for evidence as needed, and further promoting intelligent development of freight logistics application.

The invention relates to an online learning behavior engagement data acquisition and analysis system and method. The system mainly comprises a learning behavior engagement data acquisition module, an online learning behavior analysis and engagement calculation module and a visualized characterization result output module; the learning behavior engagement data acquisition module acquires learning interaction information, learning result information and knowledge construction information of learners and learning resources; and the acquired information is processed and characterized through constructing an algorithm and an analysis model, so that multidimensional analysis results can be outputted in a visualization form. The online learning behavior engagement data acquisition and analysis system and method of the invention can be applied to general learning platforms involving learning interaction activities. With the system and method of the invention adopted, fully natural state acquisition and automatic analysis of learning behavior engagement data are realized; the improvement of deep interaction between the learners and learning content can be benefitted; the learner can know their learning engagement levels at any time, so that they can enhance learning and cognitive engagement in a targeted manner and obtain great learning achievements.

The application provides an intelligent picture-matching method and device of internet promotion information. According to the embodiment of the application, a general matched-picture set of general texts is acquired; the general texts are extended to creative texts; and one or more general matched-pictures are acquired from the general matched-picture set according to correlations with the creative texts to carry out combining with the creative texts, and the internet promotion information is generated. The problem that the visual experience of a user is greatly impacted because the qualities of internet promotion information pictures are irregular, a lot of low-value pictures exist and the pictures do not conform to text descriptions in the prior art can be avoided, correlation degrees of the pictures and the texts are increased, and the original nature of the internet promotion information is guaranteed.

A material detection and remote monitoring system for realizing the supervision comprises a material testing machine, a sensing detection element, an actuating element and a full-automatic testing machine controller, the material detection and remote monitoring system comprises a control layer, a detection layer and a supervision layer; the control layer comprises the material testing machine, a computer for local control, the sensing detection element, the actuating element and the full-automatic testing machine controller; the full-automatic testing machine controller comprises a signal collecting / processing module, a drive actuating module, a local data communication module and a remote communication module, the detection layer comprises a data server, the data server comprises a detection terminal database, a storage module and a laboratory-based C / S detection management software module; the supervision layer comprises a remote supervision computer and a supervision server, the remote supervision computer comprises a network browser; and the supervision server comprises a monitoring terminal database, a B / S supervision module and a supervision pre-alarm module. The material detection and remote monitoring system can automatically control the material test, have accuracy and reliability and realize the effective supervision.

The invention discloses a blockchain evidence storage method and device applied to an management node. The method comprises the steps that a source evidence file from an evidence storage node is acquired, wherein the evidence storage node and the management node access to the same blockchain; the source evidence file is processed to generate a cochain file fingerprint of the source evidence file;the source evidence file is saved to a storage area in docking with the management node; the cochain file fingerprint is written into the blockchain, wherein the cochain file fingerprint is used for verifying a target evidence file acquired from the storage area and corresponding to the source evidence file. The technical problem that the originality of an extracted evidence file cannot be guaranteed is solved.

The invention relates to a spark streaming based big data stream processing method and system. The method includes: a step S1, receiving data sent by a data source at an appointed position, executing a step S2 if the data source is an HDFS, and executing a step S3 if the data source is an FLUME; the step S2, storing the data in a file form, and executing the step S3; the step S3, processing the received data or file through the spark streaming; and a step S4, writing the processing result of the file or the data in a result catalogue through the spark streaming according to a time interval. The method and system provide good fault-tolerant state calculation for fault-tolerant and data assurance, can support Scala programming and Java programming in the aspect of API programming; and in cluster management integration, the Spark Streaming can run on clusters thereof, and can run on a YARN and an Mesos.

The invention relates to a device for testing burning and explosion characteristics of a gas phase in a reaction process, and mainly solves problems of low test accuracy and operability and relatively poor trueness in the prior art. The device for testing the burning and explosion characteristics of the gas phase in the reaction process comprises a reactor (1), an ignition head (2), a temperature and pressure sensor (8), a feeding system (3), a temperature and pressure acquisition system (5), an ignition control system (4) and an external circulation heat extraction system (6). Due to the adoption of the technical scheme, the device better solves the problems and can be used for testing the burning and explosion characteristics of the gas phase.

The invention discloses a negative pressure urine collecting device, comprising a cup body, a cup cover and a negative pressure test tube, wherein the cup cover is connected with the opening of the cup body in a threaded manner; the negative pressure test tube is composed of a test tube, a rubber plug and a splash-proof cap; and vacuum negative pressure is reserved in the negative pressure test tube; according to the negative pressure urine collecting device disclosed by the invention, a cylindrical cavity is arranged at one side of the cup cover facing to the cup body; a self-closed liquid conveying device is arranged in the cavity; the liquid conveying device is connected on the bottom of the cavity and comprises a hollow puncture needle, a connecting pipe and an elastic rubber sleeve; the connecting pipe is upright and is connected in the center of the bottom of the cavity in a sealing manner; the hollow puncture needle is upright and is connected on the inner wall of the port of one end of the connecting pipe in the cavity in a sealing manner; the elastic rubber sleeve is a thin-wall sleeve type component which is provided with an opening at one end, and is idly sleeved on the hollow puncture needle; and the opening end of the elastic rubber sleeve is sleeved on the outer wall of the port of one end of the connecting pipe in the cavity and is matched with the outer wall in a sealing manner. According to the negative pressure urine collecting device disclosed by the invention, the urine sample in the detecting container can be collected in a sealed environment, so as to avoid the secondary pollution; and the negative pressure urine collecting device is safe, convenient and rapid in use.

The invention discloses a data storing method and device and a computer storage medium, and relates to the technical field of data processing. The method comprises the steps that a data storing request of an owner of to-be-stored data is received, the to-be-stored data is transmitted to a plurality of authentication nodes in a block chain so that all the authentication nodes can retrieve whether or not historical data similar to the to-be-stored data exists; under the circumstance of not retrieving that the quantity of authentication nodes of the historical data similar to the to-be-stored data exceeds a first threshold value, the to-be-stored data is stored in a plurality of storage nodes in the block chain. According to the method, the data authentication effect can be improved.

The invention relates to the technical field of virus sample preservation, in particular to a virus preserving fluid capable of effectively preserving samples such as virus for a long time. The preserving fluid comprises the following components: disodium hydrogen phosphate dodecahydrate, potassium dihydrogen phosphate, magnesium sulfate heptahydrate, sodium chloride, potassium chloride, magnesiumchloride hexahydrate, calcium chloride, double distilled water, glucose, antibiotics, sodium bicarbonate, sodium hydroxide, a stabilizer, amino acid, phenol red, a biological buffering agent, a cryoprotectant and glycerol, wherein the components comprise, by mass, 0.06-3.04 g of disodium hydrogen phosphate dodecahydrate, 0.06-1.2 g of potassium dihydrogen phosphate, 0.20-2.0 g of magnesium sulfate heptahydrate, 150-160 g of sodium chloride, 0.70-8.0 g of potassium chloride, 0.30-2.0 g of magnesium chloride hexahydrate, and 0.14-2.8 g of calcium chloride, 20.0 g of glucose, 0.50-5.5 g of antibiotics, 0.35-0.60 g of sodium bicarbonate, 10 ml of sodium hydroxide, 0.10-1.0 g of stabilizer, 0.30-3.0 g of amino acid and 0.30-0.40 g of phenol red. The preserving fluid can protect virus protein shells from being decomposed easily; and the primitiveness of the virus sample is kept to the maximum extent, so that the preservation integrity of the virus is better, and the detection rate is higher.

The invention provides a dependable virtual technical idea by combining dependable computing and virtualization technology. A source is consistently started from, platform starting security dependability, program controllability and manageability and security confidentiality in data processing and storage are started, and a 'dependable security cloud computing system' is developed. System dependability, program dependability and data security of cloud computing platform users are facilitated, the system has a high practical value, and data privacy is protected.

An embodiment of the invention provides a biomass boiler furnace temperature and load forecasting method. According to the method, Pearson correlation coefficient is used to describe correlation between operating parameters and furnace temperature, and the correlation coefficient is used as the basis for data screening. Principal component analysis is performed on a screened data set, principal component parameters are used as input of a neural network, two-stage neural network forecasting models for furnace temperature and boiler load are established to forecast the boiler furnace temperature, the obtained furnace temperature, furnace outlet oxygen concentration, furnace pressure, induced draft fan outlet flue gas flow and other parameters are used as input of the next-stage neural network to forecast the boiler load. According to the method, the data volume and calculation amount are reduced by data screening and principal component analysis; not only are the first-stage neural network prediction data adopted, but also information of original data is directly used, and forecast results are faster and more accurate.

The invention discloses a communication converter supporting recommended standard (RS) 485 and Modbus multi-master station data acquisition. The communication converter comprises an advanced reduced instruction set computer (RISC) machine (ARM) microprocessor, a power / reset circuit, a standby link, a user interface (UI) circuit, a synchronous dynamic random access memory (SDRAM), a NOR Flash, a first RS485 and Modbus interface, a second RS485 and Modbus interface and a third RS485 and Modbus interface, wherein the signal output end of the power / reset circuit is connected with the signal input end of the ARM microprocessor; the signal output end of the ARM microprocessor is connected with the signal input end of the standby link; and the ARM microprocessor is also connected with the UI circuit, the SDRAM, the NOR Flash, the first RS485 and Modbus interface, the second RS485 and Modbus interface and the third RS485 and Modbus interface. The communication converter has the advantages that by using the ARM microprocessor as a core and using a peripheral hardware interface circuit, two pieces of master station equipment can simultaneously acquire data on an RS485 and Modbus bus, so the data which are acquired by each master station are original and real.

The invention provides a tensile test device. The tensile test device comprises a base. An upper clamp, a lower clamp and a linear driving device are arranged on the base in the up-and-down direction at intervals, wherein the upper clamp and the lower clamp are used for clamping the upper end and the lower end of a test piece respectively, and the linear driving device is used for driving the upper clamp and the lower clamp to move in the directions of getting away from each other. The tensile test device further comprises a rotation driving device used for driving the upper clamp and the lower clamp to synchronously rotate in the same direction. The tensile test device comprises the rotation driving device used for driving the upper clamp and the lower clamp to synchronously rotate in the same direction, when clamped on the upper clamp and the lower clamp, the test piece can be driven by the rotation driving device to rotate around the axis of the test piece, test-piece 360-degree all-circumference scanning of the test device can be achieved, the test piece can be conveniently tested through the test device, and accurate test data can be conveniently obtained.

The invention relates to a breeding method of pyemotes tritici, which comprises the following steps of: placing original hosts parasitized by the pyemotes tritici into a dactylethrae, and placing alternative hosts into a culture dish, placing the dactylethrae into the culture dish, inoculating for 24-48h and then transferring the parasitized alternative hosts into the dactylethrae to culture to serve as protospecies of the pyemotes tritici; placing the protospecies of the pyemotes tritici and the alternative hosts into the culture dish according to the method, inoculating for 48-72h and then transferring the parasitized alternative hosts into the dactylethrae to culture to breed the pyemotes tritici. The method provided by the invention is concise in operation, a used device is simple and available, and the inoculation method combining the dactylethrae with the culture dish greatly reduces the damage on the physogastry body of the pyemotes tritici caused by the activity of the alternative hosts and increases the parasitism rate of the pyemotes tritici.

The invention relates to a method for calculating a transient recovery voltage (TRV) waveform parameter. A plurality of tangent lines required in a standard are calculated through TRV waveform rotation, so that the parameter of a TRV waveform is obtained, human errors are reduced, the primitiveness of data is ensured, and the accuracy of test data analysis is increased. The method has the advantages of intuition and visualization of a graphic-art technique, and has the advantages of convenience and high efficiency simultaneously; the test efficiency is increased. The accurate TRV parameter obtained through the method can be taken as a reference for test personal to adjust a test loop parameter, so that the breaking property of a tested circuit breaker can be checked more accurately, and technical support is provided for the safe running of an electric power system.

The invention relates to a miniature mobile forensics black box system, comprising a mobile terminal, a black box module and a cloud server. The black box module comprises an audio and video collector, a wireless network module, a GPS positioning module, a storage module, a microprocessor and a power module. The audio and video collector is used for collecting audio and video data of forensics scene. The wireless network module is used for connecting the mobile terminal or cloud server. The storage module is used for storing the audio and video data. The invention ensures the originality and integrity of the evidence, and ensures the authenticity and effectiveness of the evidence by ensuring the cleanliness of the evidence collection environment and sealing the evidence collection environment and solving the problem of tamper prevention after the evidence collection.

The invention discloses a self-locking electric steering engine which comprises a motor, a reducer and a locking device. The locking device comprises an installing shell, a micro motor, a proximity switch, a fixed tooth disc, a threaded rod and a movable tooth disc, wherein the micro motor is fixed to the installing shell and used for providing locking torque; the proximity switch is used for providing locking in-position signals and unlocking in-position signals; the fixed tooth disc and a reduction gear are coaxially installed; the threaded rod is coaxially connected with the micro motor; the movable tooth disc is driven through the threaded rod. According to the self-locking electric steering engine, the locking device is designed to be in the primary stage of a transmission mechanism of the electric steering engine through middle gears; under the amplification action of the reduction ratio of the reducer to torque, large locking torque can be provided; meanwhile, after the steering engine is unlocked, additional inertial influences of the locking device on the motor are small, and therefore the self-locking electric steering engine is high in reliability and practicability.