105results about How to "Comprehensive diagnosis" patented technology

An ultrasound diagnostic apparatus 1 comprises an ultrasonic probe 2 for transmitting the ultrasound while three-dimensionally scanning, and receiving ultrasound reflected from biological tissue, an image processor 5 (and a signal processor 4) for generating image data for an MPR image based on results received thereof, an information memory 6 for storing cross-sectional-position information D showing a cross-section of this MPR image, a display part 81, and a controller 9. The image processor 5 generates image data for the new MPR image for the relevant cross-sectional position, based on the cross-sectional position shown in the cross-sectional-position information D1 obtained when the MPR image was obtained in the past and the received results obtained by the new three-dimensional scan performed with the ultrasonic probe 2. The controller 9 causes the display part 81 to display the new MPR image.

A method for testing quality of service of network includes generating test data stream as the same to service stream to be tested, sending test data stream from test start point to test end point, detecting service quality of network at test end point according to obtained test data stream. The test system of network service quality consists of test start point device being connected to test end point device, test end point device and test management device.

The invention discloses an electric power construction engineering supervision mechanism based on big data. The electric power construction engineering supervision mechanism is characterized by comprising an engineering cost supervisor, an engineering quality supervisor, an engineering progress supervisor and an engineering safety supervisor. The electric power construction engineering supervision mechanism is scientific, reasonable and high in practical value; a data system is comprehensive, true and reliable; an electric power construction engineering project can be comprehensively and effectively analyzed and diagnosed in real time, so that losses caused by improper control over cost, quality, progress and safety are avoided.

The invention discloses a ship or offshore mobile platform watertight equipment monitoring and fault diagnosis system. The ship or offshore mobile platform watertight equipment monitoring and fault diagnosis system includes a watertight equipment monitoring local monitoring system, a ship industrial Ethernet and a bridge remote monitoring alarm diagnosis platform, wherein the watertight equipment monitoring local monitoring system is used for acquiring the state signals of watertight equipment so as to generate monitoring signals, carrying out fault diagnosis on the state signals so as to generate corresponding real-time monitoring signals, and generating corresponding pre-diagnosis information according to diagnosed non-real-time complex faults; the bridge remote monitoring alarm diagnosis platform is connected with the watertight equipment monitoring local monitoring system through the ship industrial Ethernet; the pre-diagnosis information is inputted into the bridge remote monitoring alarm diagnosis platform through the ship industrial Ethernet so as to be applied to final fault diagnosis; and when a fault occurs, shutdown control signals are emitted, so that maintenance information can be further obtained. With the ship or offshore mobile platform watertight equipment monitoring and fault diagnosis system of the invention adopted, two-stage fault diagnosis can be carried out on a whole ship and an offshore mobile platform, and comprehensive monitoring and operation maintenance of watertight integrity and the watertight equipment can be realized.

The invention discloses a wireless capsule endoscope with an annular lens, which comprises a capsule casing (1), a control device (2), a shooting device (3), a light source (4), a wireless receiving / transmitting device (5) for the wireless transmission of a shot image and an energy source supplying device (6) for respectively providing an energy source to the control device (2), the shooting device (3), the light source (4) and the wireless receiving / transmitting device (5), wherein the control device (2), the shooting device (3), the light source (4), the wireless receiving / transmitting device (5) and the energy source supplying device (6) are all sealed in the capsule casing (1). The wireless capsule endoscope with the annular lens is characterized in that a transparent area (11) for the light source (4) to project out light rays is arranged on the capsule casing (1), the shooting device (3) comprises an image sensor (31), a reflecting mirror (32) is arranged between the image sensor (31) and the transparent area (11), the outer side of the reflecting mirror (32) is sleeved with an annular lens (33), and light rays at the outer side of the transparent area (11) are reflected onto the image sensor (31) for imaging by the annular lens (33). According to the endoscope, the image sensor is effectively utilized by combining the annular lens and the reflecting mirror. A photo shot by utilizing the system disclosed by the invention does not have a central black area, and the effective information quantity of a picture is greatly enhanced.

The present invention features that the lead method of synchronous 18-lead electrocardiogram converted in corrected orthogonal electrocardiogram mode includes back left deriving V7, V8 and V9 as the three lead axes to reflect the back wall of the left ventricle with V6 lead as base point, right deriving V3R, V4R and V5R as the three lead axes to reflect the right ventricle with V1 lead as base point, and synchronous displaying of the six lead axes and 12 conventional lead axes. The expanded lead method of synchronous 21 leads includes back left deriving V7, V8 and V9 as the three lead axes on the basis of V5 lead axis. The lead method including converting the inclined angles in orthogonal electrocardiogram mode with right and left side correction and multiple bedding plane electrocardiogram lead containing up and down whole angles is the combined application of lateral electrocardiogram and transverse plane / frontal plane electrocardiogram.

The invention relates to a kit for a serum / plasma lncRNA marker related to stomach cancer. The serum / plasma lncRNA marker is combination of MALAT1 and HOTAIR, a primer is a primer for the MALAT1 and the HOTAIR, and the upstream primer sequence and the downstream primer sequence of the MALAT1 are SEQ No.1 and SEQ No.2; the upstream primer and the downstream primer of the HOTAIR are SEQ No.3 and SEQ No.4. By means of the kit, the defect that a kit only adopting one serum / plasma lncRNA as the tumor marker is low in sensitivity and specificity, so that the fault diagnosis rate and the rate of early gastric cancer diagnosis are greatly raised is overcome; by means of the kit, the sensitivity and specificity of disease diagnosis are enhanced, successful development of the lncRNA biological marker is beneficial to auxiliary diagnosis of stomach cancer and provides reference for research of biological markers of other diseases, lncRNA chip detection is adopted to obtain a serum / plasma lncRNA expression profile for disease specificity and abnormity expression, a qRT-PCR method is applied to conduct single verification, and dye method is adopted to conduct verification.

The invention discloses a turbo generator set vibration fault diagnosis method based on forward reasoning. After a diagnosed turbo generator set starts, a parameter detection device is employed to carry out real-time detection on related work parameters in a start and operation process of the diagnosed turbo generator set and synchronously sends the detection information to a vibration fault diagnosis device for automatic vibration fault diagnosis, vibration faults of the diagnosed turbo generator set are diagnosed level by level by the vibration fault diagnosis device according to the detection result transmitted by the parameter detection device in combination with the active power value of the diagnosed turbo generator set, and the fault diagnosis process comprises steps of 1, shaft vibration swinging value diagnosis; 2, start process vibration fault diagnosis; 3, zero load operation vibration fault diagnosis; and 4, loaded operation vibration fault diagnosis. The method is advantaged in that the steps are simple, and the method is reasonable in design, is convenient to realize, has good use effects, can conveniently and rapidly accomplish the online steam turbine vibration fault diagnosis process and can further realize accurate and reliable diagnosis results.

The invention belongs to the fields of genetic engineering and reproductive medicine and relates to a serum / plasma miRNA (micro Ribonucleic Acid) marker relevant to gestational diabetes and application of the serum / plasma miRNA marker. The marker is a combination of miR-132, miR-29a and miR-222. The marker and a prime thereof can be used for preparing a diagnosis kit and used for auxiliary early-stage diagnosis of the gestational diabetes.

The invention relates to a quantum-genetic-algorithm-based fault diagnosis method for a medium-voltage distribution network. The method is characterized in that the method comprises the following steps that: step one, an improved medium-voltage distribution network fault diagnosis model is established by employing actual and expected values of element movement and combining the circuit breaker failure protection and the protection state of automatic opening and closing of the circuit breaker; and step two, a quantum-genetic-algorithm-based improved medium-voltage distribution network fault diagnosis model is solved to carryout fault diagnosis on the medium-voltage distribution network. According to the invention, the distribution network fault diagnosis model is established by analyzing the element type and the protection configuration situation of the distribution system; protection and the movement situation of and circuit breaker after a fault scene are simulated; and then the fault model is solved by using the quantum genetic algorithm. Therefore, functions that a fault element can be localized accurately after fault occurrence at a distribution network and the fault of the distribution network can be diagnosed rapidly and comprehensively can be realized.

The invention discloses a self-diagnosis alarm device and method of an optical path fault for an optical fiber current transformer. The device comprises a first coupler; a first port, a second port, athird port and a fourth port of the first coupler are connected with a light source, a first detector, a Y waveguide and a second detector correspondingly and respectively; the Y waveguide is furtherconnected to a third detector and a lambda / four wave plate through a second coupler; and the first detector, the second detector, and the third detector are connected to a modem module. Light entering the lambda / four wave plate through the second coupler is transformed into two beams of circularly polarized light and then the two beams of circularly polarized light enters a sensitive fiber directly; after the sensitive fiber transmits the light to a reflecting mirror, the light is reflected and then passes through the sensitive fiber and the lambda / four wave plate successively and then returns to the Y waveguide to form interference light; the interference light is transmitted to the modem module through the first coupler and the first detector successively; and the modem module is connected with the Y waveguide to realize closed-loop controlling.

A measuring device for determining the strength of magnet fields using a Hall probe and a method for evaluating the function of a Hall sensor. The measuring device comprises a sensor having a Hall probe and an electric diagnosis conductor which is galvanically isolated from the Hall probe. The measuring device being able to continually monitor the sensor. In particular, the sensor can not only be checked qualitatively in regard to function or failure, but also quantitatively in regard to correct calibration such that, if necessary, an immediate correction or re-calibration of the sensor can be performed. In particular, measuring errors for instance, due to a temperature drift or because of mechanical stress of the sensor, can easily be eliminated.

The invention provides an automatic automobile diagnosis method based on a data processing unit (DPU). The automatic automobile diagnosis method comprises the following steps of: 1, supplying a client and a DPU diagnosis joint; 2, connecting the DPU diagnosis joint to an automobile diagnosis interface; 3, communicating a first communication module of the client with a second communication module of the DPU diagnosis joint; 4, automatically sending a diagnosis request to the DPU diagnosis joint by the client according to a preset procedure, and receiving the diagnosis request by the DPU diagnosis joint and controlling a switch array module to switch on the automobile diagnosis interface; 5, reading data to be diagnosed from an automobile electronic control system by the DPU diagnosis joint through the automobile diagnosis interface, and transmitting the data to the diagnosed to the client; 6, receiving the data to be diagnosed by the client, comparing the data to be diagnosed with an automobile normal running parameter pre-stored in a first storage module through a data processing module of the client, and acquiring a value of comparison result data; and 7, comparing the value of the comparison result data with a normal fluctuation range value of the automobile normal running parameter pre-stored in the first storage module through the data processing module of the client, and if the value of the comparison result data is not in the normal fluctuation range value of the automobile normal running parameter, sounding an alarm by an alarm module.

The present invention intends to provide a measurement system capable of measuring a three-dimensional geometry of a target object over a relatively large area, in a small length of time and by a contact-free method. When a ray of light is cast from a light source onto the target object s and reflected at a certain point on the surface of the target object s, the light produces direct reflection light (zero-order light) and higher-order diffraction light. The zero-order light is guided by a separating optics to a movable reflector of a variable-phase filter 20 while the higher-order diffraction light is guided to a fixed reflector. The two rays of light are reflected by the corresponding reflectors and led to substantially the same point by an interference optics system. At this point, the two rays of light interfere with each other. Under such a condition, when the movable reflector of the variable-phase filter 20 is moved, the strength of the interference light at the imaging point of the interference optics system gradually changes. The position of the movable reflector at the peak point of the interference light depends on the distance between the starting point on the target object s and the movable reflector. Therefore, the position of the starting point can be calculated from the position of the movable reflector at the peak point. By performing such a measurement and calculation process on each point of the image of the target object, one can determine the three-dimensional geometry of the object. Moreover, each point can be analyzed by Fourier-transforming the interferogram of that point into a spectrum.

The invention discloses an intelligent monitoring device and a method for the monitoring efficiency of an oil pumping system in real time based on electric parameters. Actual demands of oil field production is fully considered, important data, key variables and parameters, such as product volume, power consumption, pump efficiency, system efficiency, power outage well logging, motor various electrical parameters, and the like, in multiple oil pumping well production processes is provided, all important parameters in the running process of an oil pumping machine can be comprehensively detected,beside, the calculation mode of the multiple parameters can be selected by a user according to demands, evaluating standard is diversified, field engineers can be effectively assisted in comprehensive evaluation and the diagnosis of the operating state of an oil well.

The invention discloses a cloud computing ultrasonic diagnosis system. The system comprises a cloud computing service platform, a local area network transmission terminal and a plurality of ultrasonic diagnosis clients, wherein each ultrasonic diagnosis client comprises a wireless probe and a display control terminal which are respectively connected with the local area network transmission terminal; and the local area network transmission terminal is in communication connection with the cloud computing service platform through a wide area network. By virtue of the powerful processing and computing capabilities of the cloud computing service platform, the system has a more powerful image processing function, and can achieve richer diagnosis and data management functions so as to be more stable and more reliable, so that the comprehensive cost of diagnosis equipment is reduced, a mode that traditional diagnosis equipment sells equipment to users to gain profit is changed, and remote diagnosis can be realized conveniently.

The invention provides an intelligent depression diagnosis device and system based on a knowledge graph. The device comprises: a data collection module used for collecting the human body data of a user, wherein the human body data comprises video data, audio data, electroencephalogram data and heart rate data; an entity attribute value acquisition module used for acquiring entities and corresponding entity attribute values from the human body data by adopting a trained learning model; and a knowledge graph module used for connecting the entities and the entity attribute values to form a knowledge graph so as to obtain a depression diagnosis result. According to the invention, a depression diagnosis result can be intelligently output to assist a doctor in diagnosing depression.

The invention discloses a vehicle fault diagnosis method comprising the steps that fault phenomenon information of a vehicle is acquired; fault part information corresponding to the fault phenomenon information is taken out of a fault phenomenon model library; all data interception is performed on the vehicle so that a data message corresponding to the fault part information is acquired, and the state parameter corresponding to each fault part is acquired from the data message; and the fault parts are located according to each fault part and the state parameter corresponding to each fault part by using a part fault parameter model library. According to the method, the vehicle fault can be more comprehensively and accurately diagnosed. The invention also discloses a vehicle fault diagnosis system.

The invention relates to a transaction link exception handling method and a related device. The method is applied to a transaction link, the transaction link comprises a plurality of transaction nodes, and the method comprises the steps that a first transaction node receives the calling information returned by a second transaction node under the condition that transaction calling is abnormal in atransaction link; the first transaction node obtains the log information of each transaction node in the N transaction nodes according to the N error codes; the first transaction node determines a root cause of transaction call abnormity of the transaction link and a target transaction node causing the root cause according to the log information of each transaction node; and the first transactionnode indicates the root cause to the target transaction node, so that the target transaction node can repair the link exception according to the root cause. According to the transaction link exceptionhandling method and device, the positioning efficiency of the exceptional nodes in the transaction link can be improved.

The invention belongs to the medical field of genetic engineering and tumors, and discloses an SNP marker related to auxiliary diagnosis of lung cancer of non-smoking women and applications thereof. The marker is a combination of 25 SNPs such as rs10051970, rs10087140, rs10483845, rs11233751, rs11643408, rs11732247, rs1255485, rs12612657, rs11643408, rs11732247, rs16935064, rs12612657, rs1535271, rs166402, rs16935064, rs12612657, rs1535271, rs166042, rs16935064, 17040797, rs17073021, rs17623941, rs17670695, rs2550911, rs40395, rs4454390 and rs4640379. The marker can be used for preparing a kit for the auxiliary diagnosis of lung cancer of non-smoking women, and applications thereof.

The invention discloses a smart manipulator device with a function of feeling the pulse. The smart manipulator device can recognize human faces, locate the pulse and extract the human faces and colorsof coated tongues through the visual sense. After the manipulator acquires pulse position information provided by the visual sense, a controller is started up to feed flexible pulse-feeling fingers at the tail end of the manipulator to the position of the pulse, and the flexible pulse-feeling fingers are started up to press down to acquire optimal pulse signals. Acquired information of the humanfaces and the colors of the coated tongues, recognized human face information and detected pulse information are stored at a PC terminal and then analyzed and diagnosed.

The invention discloses a fault diagnosis system based on the evidence theory, and the system comprises a sensor acquisition module, a data preprocessing module, a primary diagnosis module, a comprehensive diagnosis module and a result display module. The sensor acquisition module collects data of transformer parameters through a plurality of sensors. The data preprocessing module is used for carrying out the preprocessing of the data, and the primary diagnosis module is used for carrying out the primary diagnosis of a device according to the preprocessed sensor data. The comprehensive diagnosis module uses the evidence theory to carry out the comprehensive diagnosis of the device according to the primary diagnosis result. The result display module uses an LED display to display the faultdiagnosis result in real time, and performs early warning when the device is diagnosed to have a fault. The beneficial effects of the invention are that the system employs the neural network for processing the sensor data after fuzzification to obtain a primary diagnosis result of transformer fault; the system employs the evidence theory for further diagnosing the transformer fault according to the primary diagnosis result, thereby improving the accuracy of the diagnosis result.

The invention relates to a protein chip for diagnosing porcine virus diarrhea. Hens are immunized by synthesizing polypeptide aiming at extracellular epitopes of three virus membrane proteins; a pair of IgY antibodies is screened from each virus, so as to prepare a solid-phase support object; the IgY antibodies are combined on the solid-phase support object after one IgY antibody in the pair of antibodies of each virus is incubated; when the solid-phase support object combined with the IgY reacts with a to-be-detected sample, most of virus particles in the sample are specifically combined; the other IgY antibody in the pair of antibodies is added; a secondary antibody marked by alkaline phosphatase is added; a substrate AMPPD is added after being washed and separated; a mesosome AMPD is generated by the AMPPD; the AMPD can get back to a low-energy stable state from a high-energy excited state; meanwhile, photons are emitted; the luminescent intensity is recorded through a light quantum recording system; and the quantity of the virus particles in the to-be-detected sample are calculated from a standard curve.

The invention belongs to the field of genetic engineering and reproductive medicine and discloses an SNP marker related to auxiliary diagnosis of non-syndromic congenital heart disease and an application thereof. The SNP marker is composed of rs3789612, rs4140836, rs13391263, rs13101737, rs1400558, rs6872396, rs13189951, rs9266596, rs7863990, rs2433752, rs7259736, rs490514, rs2474937, rs1531070, rs9533839, rs17019472, rs10182004, rs9461938, rs72759270 and rs1886441. The marker can be used for preparing an auxiliary diagnosis kit of the non-syndromic congenital heart disease.

The invention discloses a fault diagnosis method for an overhead line system disconnecting switch. An optical fiber temperature sensor, an optical fiber angle sensor, a torque sensor, a vibration sensor, a current sensor and an acceleration sensor are adopted to simultaneously acquire fault characteristic attribute values of an isolation switch under different fault types. Collected values are transmitted to an analog quantity collector to be processed. The analog quantity collector transmits the processed information to the PC through a twisted pair in an RS485 communication mode. An isolation switch fault diagnosis model based on a probabilistic neural network is established in a PC. The fault diagnosis model is established only by inputting the fault features corresponding to the different fault types of the contact network isolation switch into the probabilistic neural network, the different fault types can be identified, and the final diagnosis result is displayed on the upper computer, so that a worker can visually check the fault types of the corresponding isolation switch.

The invention provides a diagnosis method and a diagnosis device of water temperature sensor faults in a diesel engine. The diagnosis method comprises steps that a fault diagnosis module diagnoses fault states of the current water temperature sensor according to a voltage value before the current water temperature sensor is filtered; when diagnosing that the voltage of the water temperature sensor is normal, the fault diagnosis model judges the current water temperature signal according to operation states of the current diesel engine, the water temperature signal after filtering and the engine oil temperature signal; and when the diagnosed water temperature signal is proper, the fault diagnosis model judges states of the current water temperature according to the operation states of the current diesel engine, the water temperature signal after filtering and the current diesel engine operation temperature states. According to the invention, based on the open circuit and short circuit detection of a water temperature sensor, the water temperature is further detected in a way of mutually verifying the water temperature and the engine oil temperature signal and dynamically verifying the water temperature, so the fault diagnosis of the water temperature sensor is quite comprehensive and precise.

The invention discloses a multimodal image auxiliary diagnosis system based on PACS, which includes a hospital information system, a radiation information system and imaging equipment; the hospital information system and the radiation information system are input through the output end of the information interface and the PACS controller Terminals are electrically connected, and the imaging device is electrically connected to the input terminal of the PACS controller through the output terminal of the image acquisition interface, and the output terminal of the PACS controller is respectively connected to the system management module, the image data backup management module, and the image diagnosis report. The module is electrically connected to the input end of the registration / reservation triage module, and the output ends of the system management module, the image data backup management module, the image diagnosis report module and the registration / reservation triage module are electrically connected to the input end of the display terminal . The multimodal image-aided diagnosis system of the present invention is more convenient for medical personnel to operate, has a high degree of intelligence, shares information, and is convenient for comprehensive and rapid diagnosis of patients.

The invention relates to the technical field of big data, is applied to the field of smart medical treatment of smart cities, and discloses a remote treatment method, device and equipment, and a storage medium, and the method comprises the following steps: receiving patient symptom information uploaded by a user side, carrying out the big data analysis of the symptom information, and obtaining ananalysis result; generating doctor-seeing prompt information according to the analysis result, and sending the doctor-seeing prompt information to the user side for display; and when an inquiry reservation instruction fed back based on the treatment prompt information is received, opening an AR remote service window according to the inquiry reservation instruction. Through preliminary analysis ofthe symptom information sent by a patient, corresponding doctor-seeing prompt information is provided for the patient, so that the patient is guided to see a doctor, AR remote doctor-seeing service isprovided for the patient, the patient can comprehensively communicate with the doctor, and the patient can be comprehensively diagnosed without going to a hospital. The invention further relates to ablockchain technology, and information of the remote doctor-seeing service can be stored in the blockchain.