130results about How to "Timely feedback" patented technology

The invention discloses a full-automatic laser welding forming system, which relates to the technical field of laser welding, and comprises a laser generation and light beam modulation module, a material conveying and positioning module, a welding execution module, a visual inspection and monitoring module, an intelligent self-adaptive control module and an energy recovery and reutilization module, the material module accurately conveys and positions materials; the welding module robot is accurate in operation; the visual module detects welding seams; the intelligent module performs self-adaptive control; the energy module recycles energy. The welding quality is improved, and defects are reduced; the production efficiency is improved and the cost is reduced; operation is simple, and manpower requirements are reduced; energy is saved, environment is protected, and green concept is met; real-time monitoring is achieved, and the product quality and the management level are guaranteed.

The invention relates to the technical field of flatness detection, in particular to an aluminum-based foil surface flatness detection mechanism which comprises a support, a detection device and a follow-up device, the detection device comprises two detection assemblies and two driving assemblies, and each detection assembly comprises a sliding rail, a sliding block, a connecting block, a linear laser emitting unit and a linear laser receiving unit. The connecting block is rotationally connected with the sliding block, the rotating axis of the connecting block and the rotating axis of the sliding block are parallel to a laser plane emitted by the linear laser emitting unit, the driving assembly is used for driving the sliding block to slide on the sliding rail to form two parallel laser planes, and the laser planes are perpendicular to the aluminum-based foil. According to the designed surface flatness detection mechanism for the aluminum-based foil, the detection device is driven by the follow-up device to detect the aluminum-based foil moving on a production line.

The invention discloses a sliding bearing bush surface oil film pressure and thickness measuring device which comprises a chassis, a measurer is fixed to the upper surface of the chassis, supporting frames are fixed to the two sides of the measurer on the chassis respectively, a driving device is fixed between the tops of the two supporting frames, and moving devices are fixed to the opposite sides of the two supporting frames respectively. A loading device is fixed between the two moving devices, one supporting frame is provided with a ball screw, one end of the ball screw is hinged to the driving device, the ball screw is provided with a screw nut, and the screw nut is fixedly connected with the corresponding moving device; one end of the fixing shaft is hinged to the driving device, the fixing shaft penetrates through the loading device, and the other end of the fixing shaft is sleeved with a thrust device fixedly connected with the loading device; the invention further discloses a sliding bearing bush surface oil film pressure and thickness measuring method, the oil film pressure and the oil film thickness can be measured at the same time, the oil film state and an electric signal can be calibrated, and measured data can be fed back in time.

The invention provides a circuit board test method and device based on a flying probe tester. According to the method, a test point set is determined by obtaining a design file of a circuit board, establishing an electrical connection model and identifying components and pins on the circuit board. And generating test combination set data by analyzing the conduction relationship between the test points, and further generating test scheme data. And based on the test scheme data, a test path is generated by using a path optimization algorithm, finally, the flying probe tester is used for testing, and a test report is generated according to a test result. The flying probe tester adopts the combination of an annular probe and a sharp needle probe, the annular probe is used for a pin connector to ensure accurate contact, and the sharp needle probe is used for other types of components to improve the test precision and adaptability. Compared with a traditional test method, the test scheme can be generated more efficiently, the test path can be optimized more efficiently, the test time is remarkably shortened, and the reliability and accuracy of circuit board testing are improved.

The invention discloses a power distribution automation terminal operation and maintenance method based on a 104 protocol, and belongs to the field of electric power automation, and the method specifically comprises the steps: employing the IEC 104 protocol to collect the state data of power grid equipment through a power distribution automation terminal, and transmitting the state data to a main station system in real time; the master station system processes the received data by using an intelligent fault diagnosis model to realize accurate classification and grading of faults; once a fault or abnormity is detected, an early warning mechanism is triggered immediately, and a customized fault notification is generated and sent to operation and maintenance personnel; and operation and maintenance personnel perform remote operation by using the intelligent operation and maintenance APP, quickly respond and process faults, and then feed back a processing result to the master station system, so that instant updating and closed-loop management of the state of the power grid equipment are realized, and the operation and maintenance efficiency and safety of the power grid are improved.

The invention discloses a heating ventilation air conditioning system fault detection method based on deep transfer learning and principal component analysis. Comprising the following steps: respectively processing a source domain data set and a target domain data set by using a principal component analysis method to obtain a source domain feature data set and a target domain feature data set; after a deep learning model is constructed, the deep learning model is pre-trained by using a source domain feature data set, parameters of a convolutional neural network module of the pre-trained model are frozen, and a trained deep learning model is obtained by using a target domain feature data set; and receiving and processing sensing signal data to be predicted by using the trained deep learning model to obtain a fault detection result of the heating ventilation air conditioning system. According to the method, dependence on a large amount of labeled data is reduced, fault information can be fed back in time, and fault detection is accurate and reliable.

The invention relates to the technical field of artificial intelligence, and particularly provides a public opinion analysis method, system and device and a storage medium, and the method comprises the steps: collecting user evaluation data, and carrying out the preprocessing of the user evaluation data; utilizing a pre-training language model and a topic model to analyze the preprocessed public opinion topic of the user evaluation data; grouping the preprocessed user evaluation data according to public opinion themes to which the user evaluation data belong to obtain a plurality of data groups; and utilizing an emotion analysis model to respectively identify the emotion tendencies of the plurality of data groups to obtain the emotion tendencies corresponding to the plurality of public opinion topics, the emotion analysis model comprising a pre-training language model, a bidirectional long-short term memory network model and a convolutional neural model. According to the method, hierarchical analysis of the user evaluation data is realized, and data support is provided for subsequent decision making.

The invention discloses a fabric heat setting density real-time control method, and particularly relates to the technical field of fabric density intelligent control. Comprising the steps of S01, fabric image three-dimensional grid frame division, S02, fabric image information collection, S03, fabric heat setting stability judgment, S04, fabric heat setting density control, S05, fabric heat setting density detection and analysis and S06, fabric heat setting density detection and evaluation. The method comprises the following steps: acquiring fabric image data of each monitoring sub-grid of a three-dimensional grid frame of a target fabric image, calculating a fabric heat stability process effect index and a fabric heat setting density control index, performing fabric density control, and further analyzing to obtain a fabric heat setting density quality detection coefficient. The method can improve the accuracy of data acquisition, can automatically calculate and timely feed back through data analysis, is favorable for improving the intelligent level and quality of the production process, and is suitable for real-time density control of different types of fabric materials.

The invention provides a cross-regional vulnerability library sharing and co-processing method and system. According to the method, vulnerability library information of different management areas is received, a multi-level information circulation framework is introduced to carry out information format conversion, and a standardized cross-region vulnerability information graph is generated; a dynamic Bayesian network algorithm is used to extract space-time sequence data, a time sequence causal reasoning module is used to carry out causal relationship analysis, an event-driven architecture is used to carry out immediate response, and a cross-regional trust model is generated; a multi-agent system algorithm is used to extract multi-party cooperation demands, cooperation intelligent optimization is carried out, a real-time streaming data analysis technology is used to construct a real-time data monitoring platform, real-time monitoring is carried out, and a cross-regional cooperation optimization report is generated; and carrying out visual analysis by adopting a risk thermodynamic diagram technology, estimating a future vulnerability development trend by adopting a predictive analysis model, and generating a cross-regional vulnerability sharing and co-processing scheme. According to the technical scheme provided by the invention, the sharing and cooperation efficiency among the cross-regional vulnerability libraries is remarkably improved.

The invention belongs to the technical field of biological detection, and particularly relates to an auxiliary device for bovine tuberculosis kit detection and a use method of the auxiliary device. The problems that existing bovine tuberculosis detection equipment is large in size, inconvenient to carry to the site, complex in operation, low in detection efficiency and high in detection cost are solved. According to the scheme, a plurality of vibration assemblies are arranged on a box body, the vibration assemblies are connected with a supporting assembly, the vibration assemblies are used for driving the supporting assembly to move up and down, a storage box is placed on the supporting assembly, a pore plate is arranged on the storage box, and a sample tube is placed on the pore plate; the auxiliary device for bovine tuberculosis kit detection has the advantages of being small in size, light in weight, easy and convenient to operate, convenient to carry, low in cost and the like so as to meet the requirement for on-site rapid detection, especially in areas with limited resources, the timeliness and accuracy of bovine tuberculosis diagnosis are improved, prevention and control measures can be taken in time, and the detection efficiency is improved. Disease transmission risks are reduced, and healthy development of animal husbandry is guaranteed.

The invention relates to the technical field of data identification, and provides a cooking processing method and system of a self-learning cooking robot, the method is applied to the cooking robot, and the method comprises the steps: obtaining the type, shape and weight information of a to-be-processed food material, querying the type information and the shape information, and obtaining a recipe candidate list; selecting a cooking recipe and obtaining cooking steps according to the recipe candidate list and the cuisine preference of the user, obtaining condiment dosage based on the cuisine preference and food material weight information, inputting the condiment dosage and the cooking steps into a cooking robot to pre-cook food materials, obtaining feedback information of the user on a pre-cooking result, and sending the feedback information to the user. And after adjusting the dosage of the flavoring agent and cooking steps, performing formal cooking. By introducing the self-learning mechanism, the cooking robot can select the cooking recipe according to the type, shape and weight information, adjustment is carried out in combination with the cuisine preference of the user, and the problem that adjustment cannot be carried out according to changes of different food materials and instant feedback of the user in practical application is solved.

The present invention discloses an intelligent bus duct monitoring and management system and method based on artificial intelligence, which relates to the technical field of bus duct monitoring, and comprises a monitoring center, wherein the monitoring center is communicatively connected with a data acquisition module, a data processing module and a data analysis module; the data acquisition module is used to acquire the operating parameters of the corresponding position in real time; the data processing module is used to set the data transmission strategy of the data acquisition terminal according to the progressive communication association relationship of the data acquisition terminal; the data processing module is also used to process the operating parameters acquired by the data acquisition terminal to obtain the corresponding multi-dimensional change curve diagram; the data analysis module is used to evaluate the operating status of the bus duct according to the obtained multi-dimensional change curve diagram, judge whether the bus duct has an abnormality according to the evaluation result, and generate corresponding early warning information when an abnormality exists, so as to realize effective monitoring of the operating status of each joint partition.

The invention discloses a personalized health and care management method based on bioelectricity signal monitoring, and relates to the technical field of personalized health and care management, and the method specifically comprises the following steps: obtaining heart monitoring information of a heart disease patient in an exercise process in real time, analyzing the heart monitoring information after obtaining, and respectively generating a heart rate variability index and an exercise intensity load index; constructing a heart rate fluctuation evaluation model for the generated heart rate variability index and the exercise intensity load index, generating a heart rate fluctuation evaluation coefficient, analyzing and evaluating the heart rate fluctuation condition of the heart disease patient during exercise after the heart rate fluctuation evaluation coefficient is generated, and dividing the heart rate fluctuation condition into normal fluctuation, warning fluctuation and abnormal fluctuation according to the evaluation result; and respectively taking corresponding motion adjustment measures for the heart disease patients according to the division results of various fluctuations. The problem that abnormal heart rate fluctuation is difficult to monitor in real time during high-intensity exercise of the heart disease patient is solved, and the accurate and dynamic heart rate safety management effect is achieved.

The invention discloses a sound box light control method and a sound box light control system. The sound box light control method comprises the following steps: acquiring a communication protocol, an API interface, control mode data, environment illumination data and music rhythm data of a sound box and light equipment; the music rhythm, rhythm and melody change are identified by adopting an audio analysis technology, and a light response algorithm is optimized; analyzing historical and real-time data of the user, setting custom options, and adjusting light according to preferences and scenes; an intelligent machine learning algorithm is applied to continuously learn optimization and automatically adjust the light effect; storing the adjusted light effect to a sound box local storage system; the user interface layout is clear, the function organization is orderly, and the light effect change is displayed; according to the sound box light control method and the sound box light control system, a unified communication protocol and a standardized interface are adopted, interconnection and intercommunication of equipment of different brands and models are realized, and the operation convenience and comfort of a user are improved through a concise interface, navigation, timely feedback and graphical display.

The invention discloses a gas-liquid atomization rotational flow mixing reaction device which comprises a mounting bracket, the mixing reaction chamber is detachably mounted on the mounting bracket through a bolt; the communicating chamber is detachably mounted at the top of the mixing reaction chamber through a bolt; the gas-liquid separation chamber is detachably mounted at the top of the communicating chamber through a bolt; the atomizing nozzle is fixedly connected to the mixing reaction chamber; the driving unit and the indicating unit are installed on the pressure regulating unit, and one end of the gas feeding pipe is fixedly connected to the atomizing nozzle. By adopting a gas-liquid atomization and rotational flow self-stirring structure, the problems that traditional mechanical stirring is slow in mixing, poor in uniformity and unbalanced in local proportion are fundamentally solved, the phenomena of back mixing and short circuit are eliminated, the reaction is more sufficient, crystallization is more uniform, the yield is higher, meanwhile, a stirring mechanism is omitted, the device is simplified, energy consumption is reduced, parameters such as pH and temperature are fed back more timely, and the production efficiency is improved. And the control precision is greatly improved.

The invention provides a multi-scene multi-level complex modal heterogeneous equipment effectiveness evaluation method, relates to the technical field of spaceflight measurement and control communication equipment, and solves the problem of lack of effectiveness evaluation means for complex modal heterogeneous equipment at present. The method comprises the following steps: an evaluation configuration process: establishing an efficiency evaluation index system with'target-activity-capability-index ', defining an index weight dynamic adjustment method model, dynamically adjusting the weight in the index system, and constructing a measurable evaluation index corresponding to the complex modal heterogeneous equipment under the index system; and an evaluation execution process: after the complex modal heterogeneous equipment completes the scheduled task, obtaining task related data, carrying out single task evaluation, calculating a measurable evaluation index of the equipment according to the hierarchical structure of the established index system, and progressively advancing layer by layer to obtain a comprehensive efficiency result. According to the method, the adaptability and effectiveness of efficiency evaluation of the complex modal heterogeneous equipment can be improved, and the resource utilization level of the equipment can be improved.

The invention provides unmanned thermal battery packaging quality inspection equipment based on machine vision, and relates to the technical field of production line detection systems.The unmanned thermal battery packaging quality inspection equipment comprises a moving module, a quality inspection module and a base station assembly, a mounting bottom plate is arranged in the middle of the moving module, and a connecting mechanical arm and a mounting support are arranged at the end of the quality inspection module in an extending mode; mechanical joints are arranged at the connecting positions of the adjacent connecting mechanical arms, the connecting positions of the connecting mechanical arms and the mounting bracket and the connecting positions of the quality inspection module and the connecting mechanical arms, a high-resolution camera and a multi-layer convolutional neural network are adopted, tiny defects can be accurately detected, and compared with a traditional manual detection method, the detection efficiency is greatly improved. According to the automatic quality inspection device, the risks of missing detection and misjudgment are remarkably reduced, the consistency of product quality is ensured, full-automatic quality inspection is achieved through unmanned design, the labor cost and human errors are reduced, and the production efficiency is improved. In addition, an intelligent navigation system and a laser radar technology enable the equipment to move and position autonomously in a complex environment, so that the working flexibility is improved.

The invention belongs to the technical field of car purchase analysis, and discloses a car purchase intention analysis method suitable for a user, and the method comprises the following specific steps: 1, enabling the user to log in a system, and obtaining a user identity; 2, obtaining the vehicle types (designated vehicle types, intentional vehicle types of user portraits and hot vehicle types) of the user; the scheme provides a relatively automatic and user-friendly design method of a practical tool for acquiring the vehicle purchase price, so that the user can know the concerned vehicle more quickly, can also obtain the specific price of the concerned vehicle quickly and can also know the price change of the concerned vehicle at the first time, and the user experience is improved. In this way, the user can use the vehicle more easily, the aims of achieving the effects that input of user operation is less, and obtained information feedback is more and more timely are achieved, the user can obtain better use experience on similar products, the initial use expectation of the user is achieved, and the purchase interest of the user on the vehicle is improved.

The invention relates to the technical field of current measurement, in particular to a current measurement system and method applied to a PLC motion control system, and the system comprises the steps: constructing a current signal analysis model through collected current measurement sample data, carrying out the data preprocessing of the collected real-time current signal data, generating standard real-time current signal data, and carrying out the calculation of the standard real-time current signal data; real-time current signal analysis processing is carried out on the current signal analysis model and the standard real-time current signal data to generate first real-time current value data, then real-time current value data metering processing is carried out on the real-time current signal data to generate second real-time current value data, and the second real-time current value data are transmitted to the current signal analysis model. And constructing standard real-time current value data based on the first real-time current value data and the second real-time current value data, and pushing the standard real-time current value data to a current measurement platform of the PLC motion control system, thereby realizing accurate measurement and timely feedback of the current of the PLC motion control system.

The invention discloses a call recording detection and analysis method based on AI, and relates to the technical field of call recording detection, and the method comprises the following steps: a client is configured in advance to carry out the collection of call audio, and a recording file is obtained; carrying out audio encryption on the sound recording file and uploading the sound recording file to a server; the server side detects and analyzes the sound recording file, performs call transcription on the sound recording file, obtains the theme category of the current call transcription text, and obtains the emotion category according to the current call transcription text; and generating a comment text according to the acquired theme category and emotion category and a preset comment template. The call recording is analyzed from multiple dimensions of theme categories and voice emotions, call content and related information can be grasped more comprehensively and accurately, careless omissions and subjective judgment errors possibly occurring in manual quality inspection are avoided, valuable service insight is provided for enterprises, the enterprises are helped to adjust strategies and optimize service processes in time, and the service quality of the enterprises is improved. The market application prospect is wide.

The invention discloses an intelligent interactive AED first-aid training system and system for teaching demonstration. The system comprises a first-aid dummy, a training configuration terminal, a display terminal, a first-aid platform, intelligent AED equipment, an intelligent AED outer box, a central control platform and at least one of a mobile terminal, an AED equipment internet-of-things platform, a navigation module and a remote guidance platform. The whole process of intelligent interactive AED first aid training is completed through multiple interactive relations formed between two or more of the above-mentioned interaction relations between the above-mentioned interaction relations and the above-mentioned interaction relations between the above-mentioned interaction relations and the above-mentioned interaction relations. The method comprises the steps of building an intelligent interactive AED first aid training scene based on an interaction relationship, and carrying out simulation first aid starting interaction, simulation first aid preparation interaction, remote first aid guidance interaction, first aid implementation interaction and the like. According to the scheme, the whole process of intelligent interactive AED first-aid training is completed through multiple interactive relationships formed between two or more of multiple devices and personnel, and the training effect is good.

The pile pressing machine capable of monitoring the pile body comprises a main machine frame and a hydraulic push rod, a universal connecting piece is arranged on the main machine frame, and the main machine frame is connected with the top of the hydraulic push rod through the universal connecting piece; the telescopic end of the hydraulic push rod is connected with a pile hammer; the pile hammer is connected with a connecting ring; a plurality of threaded connecting blocks are distributed on the connecting ring in the circumferential direction, each threaded connecting block is in threaded connection with an adjusting screw rod, and a pressure sensing switch is arranged on each adjusting screw rod. The hydraulic push rod and the pile hammer can swing to the vertical position through the universal connecting piece under the action of gravity, then the pile hammer in the vertical position acts on a pile body stably, meanwhile, the pile hammer is provided with the pressure sensing switches which can be distributed on the pile body in the circumferential direction, the perpendicularity of the pile body can be conveniently and stably monitored, the monitoring process is convenient and fast, and the working efficiency is improved. Once the pile body inclines in the pile pressing process, the pressure sensing switch on one side is acted to generate feedback in time, and vertical monitoring feedback is effectively achieved.

According to the image Smear rapid elimination method and device for the satellite load ground detection platform, after a detection platform receives a data file of an image, a formula (12) is firstly used for calculating a Smear component of each column, operation of a formula (13) is executed, and then a true value of each pixel after Smear elimination can be obtained. Compared with a matrix elimination algorithm, the algorithm of the image Smear rapid elimination method for the satellite load ground detection platform has the advantages that the algorithm is high in operation speed by counting the operation time of a program, and the correction efficiency of the Smear effect can be greatly improved. The algorithm provided by the invention can be directly embedded into control software of a ground inspection station, and compared with a traditional offline Smear elimination algorithm, the algorithm provided by the invention can realize online real-time Smear elimination, so that technicians can conveniently correct optical and electrical parameters of an imaging spectrometer in time.

The invention provides a die head lip opening online measurement method, which comprises the following steps of: pre-acquiring propagation velocities of ultrasonic waves in melts at different temperatures through an experiment, and fitting a relation curve between the propagation velocity v2 of the ultrasonic waves in the melts and the temperature T; the temperature T of the melt flowing out of the lip is collected in real time; according to the relation curve, the propagation velocity v2 of the ultrasonic wave corresponding to the current temperature T in the melt is obtained; the ultrasonic transmitting probe is controlled to transmit ultrasonic waves, and the ultrasonic waves sequentially pass through the first wall, the melt and the second wall and are received by the receiving probe; measuring the total propagation time t of the ultrasonic waves transmitted from the ultrasonic transmitting probe to the receiving probe; and calculating the width h of the lip according to a formula. According to the invention, on-line, real-time and high-precision measurement of the opening degree of the lip can be realized.

The invention provides an electric power maintenance scheduling method and scheduling system, and belongs to the technical field of electric power overhaul and maintenance, and the method comprises the following steps: inputting a plurality of maintenance units into a scheduling system, and constructing a neural network with a plurality of maintenance lines by taking the plurality of maintenance units as nodes; working condition models of different scheduling levels are constructed according to relevance of multiple maintenance lines, an interaction terminal and an evaluation rule are set on a maintenance unit, and daily maintenance parameters and emergency start-stop parameters are preset for the interaction terminal; maintenance parameters of the interaction terminal corresponding to the working condition model are formed in an array mode and sent to the mobile interaction terminal, the mobile interaction terminal feeds back maintenance information to the interaction terminal, the corresponding working condition model is simulated and operated, and the power maintenance effect is judged according to the evaluation rule of the interaction terminal. According to the electric power maintenance scheduling method provided by the invention, the electric power maintenance process is smoother, information can be fed back in time, and the problems of deviation omission and untimely processing are not easy to occur.

The invention discloses a municipal storage water recycling back irrigation system and a construction method. The system is provided with a rainwater storage well, a water pump, honeycomb stone, a vertical longitudinal water pipe, a connector, a plane pipe disc, a turbulent permeable water diversion ring, a turning water saving pipe, a pressure water spraying device and a tree pool water level monitor. The construction process comprises the steps of water pump installation, water conveying pipeline arrangement, soil filling, honeycomb stone laying, plane pipe disc and water diversion ring installation, water diversion ring arrangement, pressure water spraying device arrangement, tree pool water level monitor installation and the like. By means of the system, the survival rate of green plants in special drought seasons can be increased, recycling of municipal road construction water storage is achieved, and a diversified ecological environment is provided. Meanwhile, excessive irrigation or drought can be prevented by detecting the soil humidity, and labor input is reduced.

The invention relates to the technical field of data processing, in particular to an Internet of Things data full-link diagnostic analysis method and system, and the method comprises the steps: carrying out the data similarity analysis processing of collected standard full-link terminal received data and real full-link terminal received data, and generating Internet of Things full-link analysis data; and when the Internet of Things full-link analysis data is abnormal, performing data preprocessing on the collected full-link node real-time operation data to generate full-link node real-time operation feature data, and performing full-link fault type identification processing on the full-link node real-time operation feature data and the established full-link fault type text feature data to obtain a full-link fault type text feature data. And full-link real-time fault type text feature data is generated, and finally Internet of Things full-link diagnosis data is constructed and pushed to an Internet of Things full-link diagnosis platform, so that accurate diagnosis and timely feedback of the Internet of Things data full-link are realized.

The invention discloses a low-carbon biological deodorization system and a deodorization method thereof. The deodorization system comprises a biological deodorization main device, a pump-valve system and a control system; the biological deodorization main device comprises a pre-washing section, a biological section and a humidity response area, and the pre-washing section and the biological section are respectively provided with a water storage layer, an air distribution layer, a filler layer and a spray layer from bottom to top; the pump-valve system consists of an induced draft fan, a working pump, a standby pump, a switching valve group and a pipeline; the invention sets a humidity response area according to the humidification demand of the biological section, improves the humidity sensing sensitivity, can timely feedback the humidification demand, effectively avoids energy loss and water resource loss, thereby achieving the effect of energy saving and emission reduction; compared with the conventional biological deodorization system, the humidification water pump of the biological section is cancelled, and the working pump and the standby pump of the pre-washing section are effectively used, which reduces the cost, reduces the failure points, and thus reduces the operation and maintenance energy consumption.

The invention relates to the technical field of HDMI testing, and discloses a set top box HDMI unit testing system and method, and the system comprises a signal transmitting unit, a data collection unit, a data processing unit, a result evaluation unit, and an information display unit. According to the method, evaluation coefficients in multiple aspects of voltage integrity, voltage difference, voltage fluctuation amplitude, average transmission rate and the like are comprehensively considered, and the performance condition of the HDMI unit of the set top box can be evaluated more comprehensively and objectively; one-sidedness and inaccuracy possibly caused by evaluation only depending on a single index are avoided, the conditions that the test is passed and the test is not passed are clearly divided, and a clear standard is provided for judging whether the product performance is qualified or not; and corresponding abnormal signals are generated in time, so that related personnel can quickly know and process the condition that the test is not passed, the efficiency and effect of product quality control can be improved, and the product performance is ensured to meet the requirements.

The present application discloses an intracranial balloon dilatation catheter, comprising an inner tube, an outer tube, a balloon and an end tube; the inner tube is located inside the outer tube, the balloon comprises a balloon body, a balloon front end pin connected to the balloon body and a balloon rear end pin connected to the balloon body, the balloon rear end pin is fixedly connected to the end of the outer tube, the balloon front end pin is folded, comprising a first pin, a second pin surrounded by the first pin, a third pin surrounded by the second pin, a first annular transition portion connecting the first pin and the second pin, and a second annular transition portion connecting the second pin and the third pin; the end tube comprises an end tube body, an outer cannula connected to the end tube body and an inner cannula connected to the end tube body. The front end of the intracranial balloon dilatation catheter of the present application is soft and has good pushing performance.