104results about How to "Timely intervention" patented technology

The invention discloses an overhead power line whole construction process quality control system and method based on a mobile terminal and belongs to the field of data processing. The system comprisesa patrol inspection mobile client and a data center. The patrol inspection mobile client carries out bidirectional data communication with the data center and sends overhead power line construction site information, a location of a patrol inspection terminal and onsite patrol inspection records to the data center. The data center records the overhead power line construction site information, responsible personnel information, construction progress information, whole process digital archives and mobile client smart device identification information and provides overhead power line constructionstatistic data and patrol inspection record query for user terminals comprising the patrol inspection mobile client. Construction information passback and server background data push are carried outthrough a wide area network. An information transmission process is realized rapidly in real time without an error. The interference-free reliable contact between an overhead power line construction site and the data center is realized. The construction patrol inspection process result recording authenticity and reliability are ensured.

The invention provides a college student behavior prediction and management system. The system at least comprises a server end, a student face registration terminal, a plurality of daily face scanning terminals, a parent hand-held terminal and a teacher hand-held terminal which are connected through a network. The plurality of daily face scanning terminals are arranged at different function places of a campus. The system is capable of carrying out prediction on student behaviors based on the work attendance data of the function places, prompting parents and teachers to manage the student behaviors in time and ensuring the safe and healthy growing of students.

The invention discloses a receiver system and receiving method with the cognitive function. A radio frequency front end module is connected with a digital circuit module through an analog-digital conversion module. A radio frequency preselecting filter with the tuned bandwidth and under digital control is introduced to the radio frequency front end so that mirror image and harmonic interference can be effectively avoided and control can be convenient. Meanwhile, spectrum sensing and cognitive user data receiving are combined into a whole, a feature detection algorithm based on cyclic prefix correlation is adopted, spectrum sensing and data receiving can be conducted at the same time, intervention of signals of a main user can be found in time, a silent period is avoided, and communication efficiency is improved. In addition, idle channels can be provided for cognitive users and the current idle channels are continuously monitored. Under the condition that a local oscillator is not changed, spectrum sensing is conducted on other channels in an XMHZ and spare channels are provided. When the main user occupies an authorized frequency band again, the idle channels can be dynamically and intelligently switched in real time.

The invention provides a medical image processing system, a model training method and a training device. The medical image processing system comprises an image acquisition unit, a virtual DWI image generation unit and a display unit. After a CTA image obtained by CTA scanning is obtained, the CTA image is converted into a corresponding virtual DWI image through a deep learning model; the virtual DWI image is used for cerebral apoplexy diagnosis. Compared with a CTA image, the virtual DWI image can provide more accurate and comprehensive display of related cerebral apoplexy information; therefore, great convenience is brought to a doctor to diagnose early cerebral apoplexy, a reliable and comprehensive diagnosis basis is provided for controlling and treating cerebral apoplexy, the missed diagnosis and misdiagnosis rate is reduced, a patient can be intervened and treated in time, and medical expenditure can also be saved through fusion of examination modes. The deep learning model in themedical image processing system can be obtained by training through the model training method and device.

The invention discloses a cross-machine-room data synchronization method and system. The method is characterized in that an agent object is generated to intercept a data change action so as to capturethe data change action of a producer, the data change action is packaged into a synchronous message, the synchronous message is transmitted to a consumer who subscribes the data change action throughmessage middleware, the consumer can be triggered to generate the same data change action as the producer through message unpacking, and cross-machine-room data synchronization is completed; and in the synchronous execution process, the synchronous monitoring table is used for recording the data synchronization completion condition of each machine room in real time. The technical effects of effectively reducing the number of times of code repeated compilation in the data synchronization process and being extremely high in expansibility are achieved. In the synchronous execution process, the data synchronization completion condition of each machine room is recorded in real time through a persistent synchronous monitoring table, meanwhile, the data synchronization process can be dynamicallymonitored in real time, and timely intervention is achieved when a synchronization problem occurs.

The invention provides a back cushion for detecting emotional stress in a non-contact mode based on heart rate variability. The back cushion comprises a back cushion body, a data operation box installed on the back cushion body and a piezoelectric sensor which is installed in the back cushion body and in contact with the data operation box. The back cushion for detecting the emotional stress in the non-contact mode based on the heart rate variability is simple in structure and convenient to use, through cooperation of the piezoelectric sensor arranged in the back cushion and the data operationbox, on the premise that the back cushion keeps indirect contact with a user, body vibration transduction signals of the user can be acquired, stress signals are acquired by the piezoelectric sensorthrough the data operation box and are processed, HRV parameters included in the stress signals are calculated, by matching the HRV parameters with index models, emotional stress, stress tolerance andthe fatigue index of a testee are analyzed, therefore the emotional stress and the body state of the user can be monitored at any time, intervention is conveniently and timely conducted, and the state of the user is prevented from continuing to deteriorate.

The invention relates to a commutation opportunity determination method and a commutation system for three-phase unbalanced commutation. The method comprises the steps of converting a multi-objectiveoptimization problem into a single-objective optimization model through a constraint method, solving an optimal solution set of the single-objective optimization model in combination with a genetic algorithm and a simulated annealing algorithm, determining an optimal solution in the optimal solution set, determining the optimal solution as a commutation opportunity, and determining a to-be-switched load and a switching sequence thereof based on the commutation opportunity so as to carry out switching. According to the method, multiple targets are converted into one target, the calculation efficiency is improved, the number of generated current optimal solutions is controlled by adjusting breakpoints of constraint conditions, and high objectivity is achieved. Secondly, through combination of a genetic algorithm and a simulated annealing algorithm, a global optimal solution can be rapidly and accurately obtained, safety risks caused by three-phase imbalance are effectively avoided, and the level of power grid operation planning is improved. In addition, three-phase imbalance states of transformers of different types and different capacities can be analyzed, and the application rangeis wide.

The invention discloses a cardiovascular and cerebrovascular disease risk warning method and system based on accurate health management. Based on big data acquisition of a cloud platform, high-risk cardiovascular and cerebrovascular disease population sample information is integrated to form a cardiovascular and cerebrovascular disease risk factor assessment scale, and a cardiovascular and cerebrovascular disease risk warning model is built. Risk factors to the high-risk cardiovascular and cerebrovascular disease population are warned and monitored in time based on monitoring data of a smart wearable electrocardiograph, in order to achieve timely and effective intervention for the high-risk population. Meanwhile, with the continuous accumulation of system data, the risk factor assessment scale and the warning model are automatically fitted, so as to realize accurate, timely and specific cardiovascular and cerebrovascular disease evaluation.

The present invention provides an intelligent nursing device. The device comprises: an obtaining unit configured to obtain a first distance between a nursed object and a first bed edge and a second distance between the nursed object and a second bed edge; a first determination unit configured to determine whether the first distance is smaller than or equal to a first threshold and to determine whether the second distance is smaller than or equal to a second threshold; and a transmit-receive unit configured to send alarm prompt signals to an intelligent terminal and receive the signals from the intelligent terminal when it is determined whether the first distance is smaller than or equal to the first threshold and / or the second distance is smaller than or equal to the second threshold. The intelligent nursing device can timely obtain the distance between the nursed object and the bed edge and can timely send prompt information to keepers prior to the occurrence of the danger of falling down from a bed so as to timely perform intervention and avoid the occurrence of the accident case such as falling down from the bed and the like.

The invention relates to a multifunctional wristband for monitoring an internal arteriovenous fistula of a hemodialysis patient. The multifunctional wristband for monitoring the internal arteriovenousfistula of the hemodialysis patient comprises a wrist strap, wherein an internal fistula monitoring module and a temperature sensor are located on a skin side of the wrist strap, the internal fistulamonitoring module comprises an internal fistula natural blood flow volume monitor, a vascular wall thickness monitoring module and an internal fistula tremor and internal fistula pulsation monitoringmodule, and an alarming device, a display, a wireless communication module and a controller are arranged on the wrist strap. The multifunctional wristband for monitoring the internal arteriovenous fistula of the hemodialysis patient can detect the natural blood flow volume, tremors and pulsation of the internal fistula, the vascular wall thickness and the body temperature of the hemodialysis patient, and can protect the internal fistula from trauma at the same time to prevent pseudoaneurysm, so that the internal fistula is subjected to good monitoring, protection and remote management, and the life of a lifeline (vascular access) is prolonged; the multifunctional wristband for monitoring the internal arteriovenous fistula of the hemodialysis patient can give different alarming prompts according to different situations to remind the patient of timely medical treatment, so that timely rescue of the internal fistula is facilitated; and an elastic buffering layer is arranged on the innersurface of the wrist strap, and has a buffering function when the internal fistula part is under external attack, and then damage to functions of the internal fistula and local massive hemorrhage areprevented, so that the elastic buffering layer plays a role in effectively protecting the internal fistula.

The invention discloses an intelligent security implementing method for an active home camera, based on the following devices: a camera, a control unit, an image receiving unit, an image processing unit, a security logic unit, a main control unit, a motor circuit unit, and a mechanical unit. The camera control unit controls the image capturing, and the image receiving unit receives the image and then sends to the image processing unit. The image processing unit adopts a deep learning algorithm to automatically recognize various objects and human body motions in the image. The image processingunit outputs a monitoring APP that can be connected to a mobile phone of a user through a network. The user sets up a matching APP having a security logic unit, sets emergency contacts and dangerous scenes, and can remotely view the home situation in real time. A dangerous judgment is made and an alarm is issued if a judgment threshold of the dangerous scene set by the safety logic unit exceeds the threshold standard. No dangerous judgment is made if the threshold standard is not met.

The invention provides a anti-myocardial antibody four-linking diagnostic reagent kit, including the coated reaction plate packaged the same antigen atomic manpower synthetic peptide antigen with four myocardial antigens, horseradish peroxidase labeled goat anti-human IgG ELISA two-antibody, sample dilution solution, enrichment solution, color reagent A, color reagent B, negative corresponding serum, termination solution, and brochure. The reagent kit of the invention has high sensitivity and strong specificity for viral myocarditis and dilated cardiomyopathy.

The embodiments of the invention disclose a network traffic monitoring method and device. The method includes the following steps that: the cells of various base stations are divided into a pluralityof grids according to monitoring object division; a traffic monitoring interval is determined, and the first traffic of each grid in each interval period is obtained according to the traffic monitoring interval; monitoring indicators corresponding to different threshold ranges are generated according to monitoring object features; and the monitoring indicator of each grid is determined according to the monitoring indicators corresponding to the different threshold ranges and the first traffic of each grid. According to the network traffic monitoring method and device provided by the embodiments of the present invention, grid division is performed on the cells; traffic monitoring is performed with the grids adopted as units, and therefore, a monitoring object can be flexibly determined; thefirst traffic of each grid in each interval period is obtained, the monitoring indicator of each grid is determined, and therefore, the change trend of traffic can be obtained in real time, intervention can be performed timely when traffic surges, the perception of a user can be protected in real time, complaints can be reduced, and monitoring can be realized.

The invention relates to a breast health automatic analysis system and method based on infrared medical imaging. The automatic analysis system comprises infrared thermal imaging equipment, an information input module, a cloud memory module, an infrared image mapping module, a breast health information analysis module, a breast vessel typing module and an assessment report generating module; a human thermal state distribution image, obtained by the infrared thermal imaging equipment, and user health questionnaire information, inputted by the information input module, are transmitted to the cloud memory module; the human thermal state distribution image is transmitted to the infrared image mapping module, and the user health questionnaire information is transmitted to the breast health information analysis module; human whole-body thermal state distribution data, obtained by the infrared image mapping module, is transmitted to the breast health information analysis module and the breast vessel typing module; a human breast health state is obtained by the breast health information analysis module and the breast vessel typing module and is transmitted to the assessment report generating module; and a whole-body health assessment report is generated by the assessment report generating module.

The invention relates to an automatic analysis system and method for breast infrared information. The automatic analysis system comprises an infrared thermal imaging device, an information input module, a cloud storage module, an infrared image mapping module, a breast health information analysis module, a breast blood vascular pattern module and an evaluation report generation module. A human thermal state distribution image obtained through the infrared thermal imaging device and user health questionnaire information input through the information input module are transmitted to the cloud storage module; the human thermal state distribution image is sent to the infrared image mapping module, and the user health questionnaire information is sent to the breast health analysis module; whole human body thermal state distribution data obtained through the infrared image mapping module is sent to the breast health information analysis module and the breast blood vascular pattern module; human body breast health conditions are obtained from the breast health information analysis module and the breast blood vascular pattern module and sent to the evaluation report generation module; the evaluation report generation module generates a whole human body health evaluation report.

The embodiment of the invention provides a message sending method and device and a server. The method comprises the steps: acquiring a travel order of the first user, and allocating the travel order to a second user providing travel service; in the process that the second user provides the travel service for the first user, judging whether the second user stays abnormally or not according to the real-time position of the terminal of the second user: if the second user stays abnormally, sending a reminding message to the terminal of the second user and / or the terminal of the first user. Throughthe monitoring of the abnormal stay, the riding criminal behavior can be intervened in time, the occurrence of the riding criminal behavior is reduced, and the safety of passenger travel is improved.

The invention discloses an intelligent ore separation sample barrel uncovering detection method. The method comprises the steps that S01, when an uncovering device sucks a cover and runs upwards, theuncovering device is weighed in real time; and S02, whether uncovering is normal or not is judged according to a weight signal. The invention further discloses a detection device. The detection devicecomprises a weighing unit and a control unit, wherein the weighing unit is used for weighing the uncovering device in real time, and the control unit is used for judging whether uncovering is normalor not according to the weight signal. The invention further correspondingly discloses an uncovering device. The uncovering device comprises a supporting plate, a vertical lifting assembly, a cover sucking assembly and the uncovering detection device; the peripheral side of the supporting plate is fixed on a fixed platform, the fixed end of the vertical lifting assembly is arranged on the supporting plate, the cover sucking assembly is arranged at the movable end of the vertical lifting assembly, and the weighing unit is arranged between the supporting plate and the fixed platform. The detection method, the detection device and the uncovering device have the advantages of being timely and accurate in detection.

A method for processing command cipher includes applying cipher calibrating module to define rule or algorithm for carrying out operation on input cipher and true cipher, enabling to arrange resource freely if input cipher is consistent with true cipher, executing command to shield resource and enabling to arrange resource partially if input cipher is consistent with predefined command cipher, confirming that input cipher is error cipher and resource can not be used if input cipher is not consistent with either true cipher or command cipher.

The invention discloses a prescription circulation processing method and device. One specific embodiment of the method comprises the steps: receiving current prescription data transmitted by a hospital end, and carrying out the signature authentication of the current prescription data based on a public key corresponding to the hospital end; acquiring prescription detail data in the current prescription data, calling a preset conversion model to process the prescription detail data to obtain a corresponding first code, and mapping the first code through a preset compression dictionary code to obtain a second code; obtaining basic information of a patient in the current prescription data to calculate a corresponding block chain address, and then obtaining previous prescription records of thepatient according to the block chain address; and jointing the second code and the previous prescription records to obtain a to-be-processed prescription record, and signing the to-be-processed prescription record based on a preset platform private key, so as to update the signed to-be-processed prescription record to the block chain address. Therefore, the problems of low prescription data circulation efficiency and high cost in the prior art can be solved.

The invention discloses a dynamic eye health management system, which comprises an image display module for acquiring user identity data, original eye using habit data, human eye vision and visual functions, an image detection module for acquiring human eye position and eye images and diopter data, a biological parameter measurement module for acquiring eyeball biological parameters, a cloud storage module used for packaging and storing eye using habit data of a user, eye vision, visual functions, eye position and eye images, diopter, eyeball biological parameters and the like, and an administrator terminal used for obtaining a diopter development trend and evaluating eye health conditions through big data mining modeling, machine training and machine learning; and the image display module, the image detection module, the biological parameter measurement module and the administrator terminal are respectively connected with the cloud storage module and are all embedded in a man-machine interaction terminal. According to the invention, the convenience of vision and eye diopter screening and vision development monitoring is improved, so that a perfect child eye health management system is formed.

The invention relates to the technical field of human factor fault prevention of power plants, and particularly discloses a human factor fault prevention isolation operation system and method for a power plant, and the method comprises the following steps: (1) preparing isolation operation; (2) carrying out isolation operation; and (3) finishing the inspection and acceptance of the isolation operation. Technical prevention means for preventing human errors can be provided for on-site isolation operation, the probability of accidents caused by the human errors is reduced, meanwhile, monitoringof the management layer on on-site personnel behaviors is enhanced, and human resource management is enhanced.

The invention discloses a broken wire monitoring structure and a monitoring method for a photovoltaic silicon wafer cutting machine, comprising a detecting wire and a monitoring module. The detectingwire comprises a bare wire, wherein the bare wire is located directly under a tensioning wheel of a diamond wire cutting transmission mechanism of the photovoltaic silicon wafer cutting machine, so asto be suitable for contacting the bare wire when a diamond wire is broken and the tensioning wheel is falling to make the detecting wire grounded. The monitoring module comprises a first detecting terminal and a second detecting terminal connected by the detecting wire, and a micro processing unit connected to the first detecting terminal and the second detecting terminal, that is, a connection state of the first detecting terminal and the second detecting terminal is obtained by the micro processing unit.

The invention relates to the technical field of remote classrooms and particularly relates to a remote classroom concentration degree analysis method and device, computer equipment and a storage medium. The remote classroom concentration degree analysis method comprises the following steps of obtaining student face data of each student end in real time, and obtaining corresponding student face features from each student face data; generating a face rectangular frame corresponding to each piece of student face data through the student face features, and obtaining rectangular frame size data ofeach face rectangular frame; calculating student watching distance data according to the rectangular frame size data, and generating student watching state conditions according to the student watchingdistance data; and obtaining student eye features from the student face features, generating student sight line data according to the student eye features, and generating student fixation point information through the student sight line data. The remote classroom teaching system has advantages of helping teachers to obtain the performance of students participating in the remote classroom.

The invention discloses a water flow monitoring system utilizing a video algorithm. The water flow monitoring system comprises a detection module, a video monitoring module, a GPS positioning module,a storage module, a warning module and a system control platform, wherein the detection module, the video monitoring module, the GPS positioning module, the storage module and the warning module are respectively connected with the system control module; the detection module comprises a water level detection unit and a flow velocity detection unit; the storage module comprises a pre-warning line storage module and a historic record storage module; and the warning module comprises an alarm starting unit, a time recording unit and an alarm output unit; and the system control platform, comprises awater flow calculating unit, a judging unit, a drawing unit, a comparison unit and a water level coordinate control unit. The water flow monitoring system disclosed by the invention is high in accuracy and has a good monitoring effect; and data is transferred to operators in real time, and the automatic warning can be realized by virtue of the system, so that the intervention treatment can be conveniently and timely carried out.

The invention discloses an abnormity inspection report automatic recognition method based on keyword network correlation analysis. Sentence and word segmentation is performed on a conclusion in a report, keywords are extracted, a keyword network is built, the keyword network is compared with a keyword network in a historical abnormity report database, the relevance is calculated, and therefore whether the report is normal or not is judged automatically. The multi-aspect inspection result can be effectively considered, and whether the inspection report of the text type has the abnormity inspection result or not is automatically and efficiently recognized.

The invention provides a kit for detecting lymphoid blood cancers such as T / B leukemia, lymphoma and myeloma minimal residual diseases based on research and development of high-throughput sequencing.The kit comprises multiplex-PCR primer sets for detecting IGH(VDJ), IGH(DJ), IGK, IGL, TCRbeta, TCRgamma, TCRdelta, BCL1 / IGH and BCL2 / IGH and with UMB (Unique Molecular Barcode, single-molecular labels), House Keeping gene PCR primer pairs, Multiplex PCR Mix(2X), internal reference DNA, Nuclease-Free Water, Elution Buffer, and primers and label sequences required for high-throughput sequencing. Bythe adoption of the kit, newly-mutant cancer cells can be found while the cancer cells are detected, the high-throughput sequencing technology is applied and combined with bioinformatic analysis, forthe detection sensitivity of MRD, one cancer cell can be at least detected in 1 million cells, that is to say, the probability is 10<-6>(0.0001%), the purpose of detecting the minimal residual diseases through quantitative analysis of the number of the cancer cells can be achieved, and sequence reading errors generated in the sequence mutation and library sequencing process due to base group mismatch during PCR amplification can be corrected.

The invention provides a dynamic physiological parameter monitoring method, device and system and a computer readable storage medium. The method comprises the steps: collecting the physiological parameter data of a patient; acquiring running state information of monitoring equipment in real time, and judging whether the monitoring device meets a preset triggering condition or not according to therunning state information; if a preset triggering condition is satisfied, uploading the acquired physiological parameter data to a central monitoring system. According to the invention, the method canhelp medical staff intervene and treat sudden diseases of a patient in time.