120 results about "EXAMINATION ROOM" patented technology

The invention relates to the technical field of medical instruments, and discloses a disinfection device for a reproductive medicine examination room, which comprises a flowing gas heating mechanism and a rotary reciprocating shaking mechanism, a lower movable disc which is positioned in the vertical disinfection barrel and can rotate, an upper movable disc which is positioned right above the lower movable disc and can generate a longitudinal reciprocating motion effect, and a storage movable plate which longitudinally moves along with the upper movable disc and can support an instrument are arranged in the vertical disinfection barrel. According to the disinfection device for the reproductive medicine examination room, an instrument is effectively disinfected through disinfection gas, the disinfection gas is gas and has the rapid movement and permeation functions, in addition, the instrument can shake in the disinfection process through the device, the instrument can generate a movement gap through shaking, and therefore the instrument can be disinfected conveniently. And the disinfection gas can generate a flowing disinfection effect along the whole surface of the instrument, so that the disinfection range of the instrument is expanded, and the infection risk of the instrument in the subsequent use process is reduced.

This invention discloses an end-to-end examination behavior analysis method and system, comprising a video input management module, a video decoding module, an image preprocessing module, a raw frame prediction queue, a raw frame queue, an AI module, an analysis result recording module, and an abnormal event video generation module. It utilizes an end-to-end AI model training and inference scheme, enabling efficient training using large amounts of historical data. In practice, it offers fast processing speed and high efficiency. The end-to-end AI model takes continuous video frames as input and outputs bounding boxes indicating suspected violations after inference. In the post-processing section, the model output undergoes spatiotemporal correlation and filtering to finally generate spatiotemporal location information of suspected violations. It exhibits good scene adaptability; when new scenes are needed or new actions to be identified are added, only new training data needs to be added and retrained to expand the algorithm, saving manpower and improving efficiency.

The invention discloses an invigilation personnel matching management system based on artificial intelligence. The system comprises an invigilation data acquisition module, an examination room candidate invigilation personnel preliminary screening module, a local candidate invigilation personnel screening module and a global invigilation personnel scheduling optimization module. The invention relates to the technical field of invigilation personnel data processing, innovatively provides a multi-level candidate personnel screening method, and improves the accuracy and flexibility of invigilation personnel matching. A constraint dynamic setting method is provided, and the flexibility of invigilator scheduling rule modeling is improved; an improved graph neural network model construction method for invigilator and examination room matching evaluation is provided, and a more accurate and reliable invigilator and examination room adaptation degree evaluation result is achieved; the improved particle swarm optimization method for the global invigilator scheduling task is provided, and the intelligence and automation degree of the invigilator matching process is effectively enhanced.

The utility model relates to the technical field of heat supply pipe detection, and discloses a heat supply pipeline leakage monitoring device. The objective of the utility model is to solve the technical problems of high manual inspection cost, untimely water leakage point discovery, insufficient detection data accuracy and lack of remote monitoring capability in the prior art. The device comprises a temperature sensor and a liquid level sensor, the detection signal output end is connected with the microcontroller through the signal processing circuit so as to collect temperature and liquid level data of the sensing module, and the microcontroller is connected with the application module through the wireless transmission module; the application module comprises a data processing part and a display interaction part, the data processing part comprises a computer provided with data processing software, and the display interaction part comprises a display screen arranged in the examination room and mobile electronic equipment provided with a client. The system can monitor whether the pipeline leaks or not, reduces energy loss, reduces inspection cost, and is efficient in early warning, high in detection speed and high in precision.

The invention discloses a training method of an attention estimation model and an examination room behavior monitoring method. The examination room behavior monitoring method comprises the following steps: acquiring a head key point, a neck key point, a right shoulder key point and a left shoulder key point of an examinee extracted from a to-be-analyzed image of an examination room monitoring video and an image block intercepted by using a human body detection frame; inputting the key points and the used image blocks into a pre-trained attention estimation model to obtain attention orientation vector estimation values of the examinees; obtaining a target attention orientation vector range; and when the attention orientation vector estimation value of the examinee is not within the target attention orientation vector range, it is judged that the examinee may have a turn-around behavior. According to the method, the requirement for face information is abandoned, and the corresponding attention orientation estimation model is obtained through training of a deep learning regression algorithm from main human body key points. And judging whether the examinee has an unreasonable turn-around behavior or not in cooperation with a use strategy of a specific examination room monitoring scene.

The invention relates to a driver examination room inspection method and system. The method comprises the following steps: before an examination, obtaining examinee examination information and record information of an examination room and an examination vehicle from a driver examination management system; based on the examination table and examination car random distribution rule, whether the number of the started examination table terminals and examination cars meets the examination starting requirement is inspected; inspecting the starting state and the running state of the examination room service equipment; performing safety inspection on the examination table terminal; performing business consistency and service state inspection on the examination car terminal; in the examination process, software and hardware environment change inspection is carried out on part of the in-examination examination table terminal and the in-examination examination vehicle terminal; after the examination is finished, various inspection results before examination, during examination and after examination are uploaded to a driver business management information system. The safety, the stability and the fairness of the examination system are remarkably improved through inspection in three stages, namely, before examination, during examination and after examination.

The present invention relates to an apparatus and method for automatically managing a medical procedure for an outpatient and, more particularly, the apparatus comprising a communication interface, a memory, and a processor operably connected to the communication interface and the memory, wherein the processor is configured to: when it is detected that a patient has entered a preset area, confirm the arrival of the patient and add the patient to a list; when the patient is within a predetermined time from a predicted medical treatment time or when the patient's position in a medical treatment order falls within a predetermined range, obtain the location of the patient's terminal; when the obtained location of the patient's terminal is outside a predetermined radius, request standby for medical treatment; and when it is detected that the patient's turn in the medical treatment order has come and the patient has entered an examination room, request medical staff to perform an identity verification procedure.

The utility model relates to the field of medical examination vehicles, in particular to a 5G mobile intelligent orthopaedic medical vehicle which comprises a vehicle body, a diagnosis inquiry area, a DR examination room, a physical examination area, a treatment area and a multifunctional examination room are sequentially arranged behind a cab in the vehicle body from front to back, and a traction bed examination room and a conventional treatment room are arranged in the treatment area side by side; an intelligent system is further carried on the vehicle and comprises a vehicle-mounted 5G router, a desktop computer, an intelligent central control system, an identity authentication device, a video monitoring system, a remote communication device, a temperature regulation and control system, an intelligent temperature measuring device, a disinfection system and a lighting system, and the vehicle-mounted 5G router is connected with the cloud platform. The system carries orthopedic medical resources to realize quick response to emergency situations, and diagnosis and treatment can be carried out at the first time. The medical vehicle is reasonably provided with five functional areas and is provided with an intelligent system, data and a cloud platform communicate with each other, the structure is compact, layout is reasonable, and accurate and efficient diagnosis and treatment are achieved.

The invention discloses a motorcycle collision pile rod detection device which comprises a magnet which is arranged under the ground of an examination room and embedded in the ground. The stake rod assembly is arranged over the magnet, a distance exists between the stake rod assembly and the magnet, the stake rod assembly is installed in an examination room and used for generating the posture variation after the stake rod assembly collides with the motorcycle and detecting the posture variation, and the magnet is used for recovering the posture of the stake rod assembly through magnetic field attraction. During an examination, a student controls a motor vehicle, after the stake rod is collided, the stake rod assembly is subjected to the effect of the magnet, and the stake rod assembly can be automatically restored to the initial position, so that the workload of invigilators is reduced, and the examination efficiency is improved. And automatic detection of pile rod collision in a pile examination project can be realized without manual participation. The invention further discloses a detection method based on the device for detecting the collision between the motorcycle and the pile rod.

The invention discloses an intelligent seat arrangement control method, and relates to the field of smart classrooms, and the method comprises the steps: obtaining the seat distribution information of a target examination room; according to the seat sub-distribution information of each group and a target seat arrangement scheme, determining the number of people capable of being arranged in each group under different target seat arrangement schemes; based on the number of people capable of being arranged in each group of all groups of different target seat arrangement schemes, determining the number of people capable of being arranged in the target examination room under the different target seat arrangement schemes; obtaining a target examination number; determining examinee position arrangement information according to the target examination number of people and arrangeable number of people in the target examination room under different target seat arrangement schemes; and sending the examinee position arrangement information to a target terminal. According to the invention, through systematic processing flow and clear algorithm design, automation, intelligentization and visualization of examination seat arrangement work are successfully realized, and the system has wide application prospect and practical value.

The utility model provides an examination room uses answer sheet distribution device relates to distribution device technical field, including the placement box, is equipped with the distribution groove on both sides upper end in the inside of placement box, the inside of distribution groove installs respectively with adjusting mechanism, the inside lower extreme of placement box installs second electric push rod, the output of second electric push rod installs weight sensor, the upper end of weight sensor installs the placement board, the placement board swing installation is in the inside of placement box. The utility model discloses through adjusting mechanism control baffle angle, accurate limit the interval between baffle and distribution groove, cooperate the excess answer sheet of protruding block block, ensure that only push out an answer sheet, avoid multiple, jam and so on, realize the accurate distribution of automation, greatly shorten the time, especially under the scene of many examination rooms synchronous examination, the workload of invigilator is reduced significantly, reduces the occupation of invigilation resource, avoids the influence of the test rhythm of examinee because of artificial distribution time -consuming too long.

The invention discloses a video operation and maintenance analysis system based on artificial intelligence face capture, which relates to the field of data processing and comprises a verification layer, a monitoring layer and a warning layer. The examinee faces in the same examination room are globally collected through the verification layer, the verification layer synchronizes the examinee faces in the obtained examinee identity information and compares the examinee faces with the collected examinee face images so as to complete examinee face verification, the monitoring layer collects examination room images in real time, the faces of all examinees in the examination room images are captured, and the examinee face verification is completed. According to the method, the face of the examinee in the same examination room can be globally collected and compared with the face image in the identity information of the examinee for verification, after the examinee sits according to the seat number, the collected face image is segmented and matched with the identity information for verification, and the face space position transformation form of the examinee is analyzed. The identity of the examinee can be accurately identified, cheating behaviors such as an alternative examination are effectively prevented, the examination room order is maintained, fairness and justice of the examination are ensured, and a solid guarantee is provided for smooth proceeding of the examination.

The invention relates to an intelligent online patrol comprehensive management platform, and belongs to the technical field of intelligent monitoring and management. The platform adopts a multi-layer distributed architecture and comprises a data acquisition layer, a transmission layer, a platform layer and an application layer. The platform layer integrates a video resource unified access module, an artificial intelligence behavior analysis module, a patrol task scheduling engine, a multi-stage patrol management module and an early warning disposal closed-loop management module. Multi-source video streams are integrated through a standard protocol, video streams of key areas such as examination rooms and test paper storage rooms are analyzed in real time by using a deep learning algorithm, and illegal behaviors such as abnormal number of people and going out with articles are automatically identified and intelligently early warned. Meanwhile, the system supports multi-stage collaborative patrol and disposal process closed-loop management, full-process automation and intelligentization from problem discovery, early warning pushing, task disposal to result feedback are achieved, the supervision efficiency, accuracy and response speed of examination patrol are remarkably improved, and manual dependence is reduced.

1. Name of the product in this design: Multifunctional Integrated Examination Room Equipment (Ronglifang). 2. Purpose of this design: It is used for a portable, mobile, standardized integrated examination room equipment box, which has functions such as candidate identity verification, online monitoring, cheating prevention, electronic clock, broadcasting system, and examination room instruction broadcasting. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key features: the front view. 5. The right view has already been shown in the perspective drawing, so the right view is omitted.

This invention relates to the field of medical information technology and scheduling, and discloses a method for scheduling appointments based on medical ultrasound department data. The method addresses the hidden conflict of existing systems neglecting the reprocessing of intracavitary probes, leading to idle examination rooms but no available probes, and the time drift caused by continuous high-load scanning by operators. This solution collects patient requests and extracts probe status, estimating the expected time to offset individual differences; reads historical probe reprocessing events to obtain the processing time including the cleaning to storage and release cycle; combines the above time parameters to extrapolate the actual available time for each candidate appointment; further, it calculates the comprehensive cost of the candidate appointments based on historical delay results, selects the scheme with the minimum cost for dynamic scheduling, and corrects the historical average based on measured data in a closed-loop manner. This invention effectively alleviates queuing deadlock and improves the accuracy of resource scheduling in ultrasound departments.

1. The name of the design product: signal shield. 2. The use of the design product: for shielding or interfering with various communication signals in the examination room. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

The application discloses a kind of cloud examination room control method, device, equipment and storage medium, the method includes: determining and the same target test question of pre-set standard test question difficulty and the content different target test question, and target test paper is generated based on the target test question;Monitor the behavior state when examinee answers the target test paper;According to the behavior state, it is judged whether the examinee exists cheating abnormal behavior, and according to the judgment result and the answer condition of the examinee answering the target test paper, control is carried out to cloud examination room.Through the above-mentioned mode, target test question is determined and target test paper is generated based on target test question, the behavior state when examinee answers is detected and it is judged whether there is cheating abnormal behavior, and then according to the judgment result and the answer condition control, compared with the existing examination room control method, the above-mentioned mode can accurately judge the behavior of suspected cheating in examination room, and can generate the test paper of different content and the same difficulty, further ensure the fairness of examination.

The application discloses an examination room abnormal behavior detection method based on an improved YOLOv7 model, comprising the following steps: S1, frame processing is performed on an existing examination room monitoring video to obtain examination room picture data; S2, the examination room picture data are sequentially preprocessed and labeled to obtain an examination room abnormal behavior data set; S3, an improved YOLOv7 network model is constructed, an activation function SiLU is replaced by FReLU, a Gn-ASPPCSPC module is used to replace an ASPPCSPC module, a Gn-MP module is used to replace an MP module, and a SIoU loss function is used; S4, the improved YOLOv7 model is trained by using the examination room abnormal behavior data set, and an optimal performance model is obtained after training; and S5, the optimal performance model is used to identify newly obtained examination room pictures to detect abnormal behaviors appearing in the examination room. The detection method solves the problems of the original YOLOv7 network model, such as lack of ability to capture feature space correlation and inaccurate target positioning in a complex background.

The invention discloses a working method of a hospital transportation system, and belongs to the technical field of medical information. The medical advice is issued through the his system, and the transportation work order is created in the hospital transportation system according to the type of the medical advice; then, the system automatically sends the work orders according to teams and regions, a transporter receives the work orders according to the shifts, and the transporter transports the patients to an examination room according to the positions of the patients in the order receiving information and examination items on the work orders; after the patient arrives, registration is completed through an appointment registration system; when the examination is finished, the examination system can send an examination completion prompt to a hospital transportation system, a transporter sends the patient to the next examination room, execution is carried out circularly until all examination items on the work order are completed, finally the patient is sent back to a ward, meanwhile, the transportation system is strongly associated with a his nurse station system, and it is guaranteed that the patient is conveyed in a closed-loop mode in the whole process. Through docking with each system of the hospital, the medical experience of the patient and the high efficiency and specialty of hospital transportation are effectively improved.

This invention relates to the field of Internet of Things (IoT) technology, and more particularly to an IoT-based intelligent monitoring method and system for information-based examination rooms. The method includes the following steps: deploying multiple types of IoT sensing terminals to construct a three-dimensional mapping relationship; employing a random time-series and adaptive parameter acquisition strategy, collecting and preprocessing data through the IoT sensing terminals to generate a standardized multimodal feature dataset; inputting the data into a federated enhanced behavior recognition algorithm, aggregating and generating a global model through local feature enhancement and adversarial training, and outputting abnormal event recognition results; executing abnormal handling through a three-dimensional mapping reinforcement learning scheduling algorithm, summarizing the entire process data to complete source tracing, storage, and review optimization, and outputting optimized monitoring parameters. This invention constructs a three-dimensional mapping relationship, combining dynamic acquisition, federated recognition, and intelligent linkage technologies to provide multiple layers of data protection and review optimization, achieving intelligent and precise monitoring of the entire examination process, preventing cheating, reducing labor costs, and ensuring examination fairness.

The invention relates to a dynamic behavior prediction method and device for an examination room target and computer equipment. The method comprises the following steps: acquiring current monitoring videos of each angle of an examination room and figure information of figures in each examination room, and marking the current monitoring videos of each angle to obtain current marked videos of each angle; on the basis of the current marked video of each angle, through a multi-scale feature recognition strategy, recognizing character image features of characters in each examination room, and through a multi-scale time sequence prediction model, predicting character behavior trend information of the characters in each examination room in each angle; and on the basis of the character behavior trend information of each examination room character in each angle, identifying character interaction behavior trend information of each examination room character through a feature fusion strategy, and on the basis of the character interaction behavior trend information of each examination room character, identifying predicted abnormal behavior information of each examination room character through an abnormal behavior evaluation strategy. By adopting the method, the prevention and control effect on the abnormal behaviors in the examination room can be improved.

The invention discloses a special intelligent color ultrasound probe for intravenous injection, which comprises a probe shell, a handle is fixedly mounted at one end of the probe shell, a probe body is fixedly mounted at the other end of the probe shell, a nozzle type positioning pen is mounted at one end of the probe body, and a button connected with the nozzle type positioning pen is fixedly mounted in the middle of the probe shell. The surface of the probe shell is fixedly provided with a probe system body, the probe body comprises a transducer and an acoustic lens, and one side of the transducer is connected with one side of the acoustic lens. Compared with traditional large-scale ultrasonic equipment, the designed probe is small in size, light in weight, convenient to carry about by medical staff, and capable of being used instantly at the bedside and in an infusion room; the patient does not need to be transferred to an ultrasonic examination room, so that the working efficiency and convenience are improved; the probe adopts a human engineering design and is convenient to hold and operate by a single hand; a nozzle type positioning pen is arranged, so that positioning marking is simpler, more convenient and faster, and extra marking tools are not needed.

The invention relates to the technical field of monitoring equipment, and discloses examination room monitoring equipment based on face recognition, which comprises a camera, a support seat is arranged at the bottom of the camera, a supporting plate is rotatably mounted on the support seat, a limiting plate is arranged on the front side of the support seat, an adjusting assembly for adjusting the position of the limiting plate is arranged outside the limiting plate, and a face recognition module is arranged at the bottom of the camera. The adjusting assembly comprises a first rubber pad, a conveying belt, a guide roller, a support, a sliding block and a positioning assembly used for positioning the sliding block. According to the device, the position of the limiting plate can be conveniently adjusted, so that the limiting plate cannot shield an upper picture display area of the display screen, and the situation that examination answering is affected is avoided; and through the arranged limiting assembly, the situation that the limiting plate is excessively adjusted to be separated from the display screen frame in the whole process is avoided, and the situation that equipment is separated and broken is avoided.

The invention relates to a doctor-seeing route optimization device. More specifically, the present invention relates to an apparatus for optimizing a doctor-seeing route, which maximizes the convenience of a patient and enables a hospital to operate efficiently. To this end, the treatment route optimization device according to the present invention comprises: a first module that confirms that a patient has arrived in a hospital by reacting with a patient terminal device through a trigger device installed in the hospital; the second module is used for transmitting the next destination in the hospital including the consulting room and the examination room to the patient terminal equipment on the basis of the consulting schedule of the consulted patient confirmed by the first module; and a third module which changes the doctor-seeing route of the patient and transmits the doctor-seeing route to the second module under the condition that the set doctor-seeing schedule or doctor-seeing route is changed according to the prescription of the doctor in the hospital.

The invention relates to the technical field of data management, and discloses an examination room and security room behavior analysis patrol method and system using an intelligent agent, which can focus on the maintenance and management of resources required by an examination in the examination room preparation stage to form high-quality data resources which can be used by a service system. Through communication with a data interface of a comprehensive management platform, effectiveness and accuracy of data are ensured, a mapping relation is formed between identity coding information and examination places in an examination plan by using the received examination plan, so that functions during an examination focus on process control and supervision, false alarm reduction and identification analysis accuracy improvement, and a reexamination instruction is used to improve the accuracy of examination. And the extracted behavior events are rechecked, the conclusion of each behavior event is fed back to the conclusion display end, effective decision support is provided for examination affairs, the intelligent patrol invigilation client is matched, post-event tracing is changed into in-event real-time disposal, and the timeliness of patrol rechecking work is improved.

The application discloses a method, system, device and medium for improving the efficiency of college examination arrangement, wherein the method adopts the mode of matching sessions, examination rooms and invigilators to calculate the value in the relationship matrix to obtain a first relationship matrix for each course arranged by each examination arrangement personnel; the value in the relationship matrix is calculated based on the first relationship matrix, the selected course prompt times and the preset prompt number to obtain a second relationship matrix; the value in the relationship matrix is calculated based on the first relationship matrix, the current course selected prompt times and the total selected prompt times of all selected courses to obtain a third relationship matrix; the examination arrangement containing sessions, examination rooms and invigilators similar to each course in the first relationship matrix is calculated according to the second relationship matrix and the third relationship matrix; and the examination arrangement of each course is selected by performing conflict checking on each examination arrangement. The application can improve the efficiency and accuracy of examination arrangement.

The application discloses an examination room area AI intelligent signaling shield detector detection management and control system, belongs to the technical field of shield detector detection management and control, and comprises an examination room information extraction module, a shield instrument state monitoring module, a shield instrument state analysis module, an examination room signal detection module, a detection signal analysis module, an examination room shielding analysis control module and a feedback early warning terminal. The examination room information extraction module is used for extracting environment configuration information and shield instrument equipment file information of each examination room in a target examination site. The shield instrument state monitoring module is used for receiving a control instruction, sending an opening or closing signal to a shield instrument of a designated examination room, and collecting operation and maintenance state information of each shield instrument in real time and automatically. The shield instrument state analysis module is used for performing hierarchical analysis and quantitative evaluation on the health condition of the shield instrument. On the basis of realizing shield detector detection management and control, the application can also actively detect signals and dynamically adjust the output frequency.

The invention provides a medical image processing device, an X-ray imaging device, an endoscope device and an illumination device. The subject of the invention is to automatically change the illumination of an examination room according to the progress of examination. A medical image is received, preset image processing is performed, and whether or not the medical image is in a predetermined state is determined on the basis of the processing result. When it is determined that the lighting device is in the predetermined state, an instruction is output to the lighting device connected in a wired or wireless manner so as to change the light emission state.

The invention provides a sniffing device mounted on a dental diagnosis and treatment chair and a use method, the sniffing device comprises a dental chair, a tool shelf, a spittoon and a mouth lamp, the dental chair is mounted on the ground, a side box for mounting parts is arranged on one side of the dental chair, the tool shelf and the mouth lamp are movably connected to the side box, the spittoon is rotatably connected to the side box, a gas supply mechanism is embedded in the bottom of the side box, and the gas supply mechanism is connected to the bottom of the side box. The air supply mechanism is communicated with a nose mask covering the nose, and the essential oil bottle is connected to the air supply mechanism. According to the sniffing device mounted on the dental diagnosis and treatment chair and the use method, the air supply mechanism is embedded into the bottom of the side box and is directly communicated with the nasal mask, so that an essential oil conveying path is short and closed, airflow interference in a consulting room is avoided, and continuous nasal cavity sniffing stimulation is realized; a motor-piston driven quantitative conveying mode is adopted, so that the flow of the essential oil is stable, and concentration fluctuation is avoided; an elastic movable ring and a screw-thread insert self-locking structure of the clamping mechanism are compatible with essential oil bottles of different specifications, rapid clamping is achieved, and the replacement efficiency is improved.

The invention discloses an examination room behavior analysis method based on deep learning, a storage medium and equipment, and the method comprises the steps: collecting an examination room video stream, and manually marking an abnormal behavior region and an abnormal behavior type; constructing an examination room behavior detection model based on a spatial stream and a time sequence stream; taking the collected examination room video stream as the input of an examination room behavior detection model, taking the manually marked abnormal behavior area and the abnormal behavior type as labels, training the examination room behavior detection model until the multi-target loss function converges, and completing the training of the examination room behavior detection model; and inputting an examination room real-time video stream into the trained examination room behavior detection model, and predicting an abnormal behavior region and type in real time. Through the fusion effect of the spatial stream and time sequence stream features, the accuracy of examination room behavior detection is greatly improved, and the whole invigilation process is continuous and effective.