51987results about How to "Save human effort" patented technology

The invention provides a wireless signal tester calibration device and a method. A frequency meter is used for calibration of an output frequency of output signals of the wireless signal tester; a microwave power meter is used for calibration of output power of output signals of the wireless signal tester; a vector signal analyzer is used for EVM calibration of output signals of the wireless signal tester; a vector signal transmitter and the microwave power meter are used for calibration of power measurement of the wireless signal tester; the vector signal transmitter and the vector signal analyzer are used for calibration of EVM measurement of the wireless signal tester; and thus, reliability of performance test on the corresponding wireless transmitting and receiving equipment by using the wireless signal tester can be ensured. The invention also provides an automatic testing system and a method. The calibration device of the invention can be used for carrying out automatic calibration on the wireless signal tester, and the wireless signal tester after calibration is used for automatically testing to-be-tested wireless equipment.

The invention provides a fracturing pump truck driven by a turbine engine, which comprises an engine, a fracturing pump, pipelines and the like. A traditional large and heavy diesel engine is replaced by the turbine engine which is small in size, light in weight and high in power, the total output power of a single fracturing pump truck can be more than 4000hp under the requirements of limited integral vehicle weight. The fracturing pump truck driven by one turbine engine is equivalent to the fracturing pump truck driven by two traditional diesel engines, so that output power of unit operating area is improved, more labor and materials can be saved in transport and specific constriction operations of fracturing equipment, land requisition and operating area are reduced, and construction efficiency is improved. Further, the turbine engine can also use various gaseous and liquid fuels and is especially suitable for shale gas exploitation.

The invention provides an intelligent comprehensive monitoring and security integrated management system for a parking garage. The system solves the comprehensive intelligent management problems of related automatic monitoring, automatic detection, display, different languages and voices, communication, dispatching, guide, digital quantity identification, security, forbidding and passing, charging, statistics, self diagnosis and maintenance and the like of various self-propelled and automatic three-dimensional mechanical parking garages. The system has significant meanings for improving the monitoring, security and management levels of various parking garages, promoting static traffic modernization construction and increasing the social and economic benefits of the parking garages.

The invention relates to voice detection technology in an automatic caption generating system, in particular to a self-adaptive voice endpoint detection method. The method comprises the following steps: dividing an audio sampling sequence into frames with fixed lengths, and forming a frame sequence; extracting three audio characteristic parameters comprising short-time energy, short-time zero-crossing rate and short-time information entropy aiming at data of each frame; calculating short-time energy frequency values of the data of each frame according to the audio characteristic parameters, and forming a short-time energy frequency value sequence; analyzing the short-time energy frequency value sequence from the data of the first frame, and seeking for a pair of voice starting point and ending point; analyzing background noise, and if the background noise is changed, recalculating the audio characteristic parameters of the background noise, and updating the short-time energy frequency value sequence; and repeating the processes till the detection is finished. The method can carry out voice endpoint detection for the continuous voice under the condition that the background noise is changed frequently so as to improve the voice endpoint detection efficiency under a complex noise background.

The invention provides an image automatic acquisition method, which comprises the following steps: (a) collecting an image; (b) analyzing the image to obtain image parameters; (c) judging whether the image meets pre-specified requirements on the image according to the image parameters, if yes, extracting the collected image according to scheduled rules, otherwise, prompting an adjustment and returning to step (a). The invention also provides an image automatic acquisition device, which comprises a main control unit for controlling and managing other units, an image collection unit for collecting the image, an image parameter extraction and judgement unit for analyzing the image to obtain the image parameters and judging whether the image meets the requirements, if no, a prompt is given, and the main control unit controls the image collection unit to collect the image again, if yes, the main control unit gives the prompt to an image generation unit to extract the image according to the scheduled rules.

The invention discloses an express boarding system and a method based on identification cards and biometrics identification technology, relating to identification technique. When users boarding, the system automatically reads the information of an identification card to inquire whether the user purchases and registers, and rapidly and accurately inspects whether identity of the user is correct through the biometrics identification technology, and thereby red tape, such as queuing for checking in and the like, is avoided, finally achieving express boarding. The system obtains ticket purchasing information and biometrics of the user by connecting a network, a booking system and public security department systems. A boarding passage is composed of devices of an identification card reader, a biometrics identification device, a computer, a switch passage door and the like. The invention checks identity of people based on the identification card technique and biometrics identification technology, which is accurate and reliable. The invention can realize automatic boarding management, which is speedy, convenient and time-saving. The invention can be used in airport boarding management systems, and also can be applied to occasions which need to rapidly and accurately perform identification.

The invention discloses a medical appliance carrying apparatus which comprises a working table. A vertical slide rail is arranged on one side of the upper surface of the working table; an electric trolley is arranged on the vertical slide rail and provided with a mount on the upper surface; a circular groove is formed in the center of the upper surface of the mount; a rotating motor with an upward rotating end is arranged in the circular groove; the rotating end of the rotating motor is provided with a circular supporting plate matched with the circular groove; a first installation box is arranged on the upper surface of the circular supporting plate; a controller is arranged on the front surface of the working table; a mains supply interface is arranged on the back surface of the working table; a power terminal of the controller is connected with a mains supply interface via a conductor wire; an output end of the controller is connected with the electric trolley, the rotating motor, a hydraulic cylinder, an electric pusher and a micro linear motor via conductor wires respectively. The medical appliance carrying apparatus has the advantages of high carrying capacity, high carrying speed, capability of liberating manpower and improving work efficiency, small size, and high movability.

The invention relates to snow removal equipment with an automatic walking function. The snow removal equipment comprises a walking module, a working module and a control module, wherein the walking module drives a snow removal machine to move; the working module comprises a working motor and a snow throwing mechanism driven by the working motor, and the snow throwing mechanism collects and throws out snows and occluded foreign substances on the ground under driving of the working motor; and the control module controls the rotating speed of the working motor to enable the speed to be less than 41 m/s when the occluded foreign substances leave the snow throwing mechanism. According to the snow removal equipment with the automatic walking function, the robot equipment can provide safe snow throwing energy, and therefore the snow removal equipment is avoided from injuring a person or an object in a condition of no guarding.

The invention discloses a vehicle relay tracking method in multi-camera scene. In the method, multiple cameras cooperate, and real time continuous tracking on vehicle in a multi-camera covering domain is realized in a complex scene. Firstly, image registration is carried out on a traffic pavement image obtained by multiple cameras by applying SIFT characteristic and RANSAC algorithm, and an L-M (Levenberg-Marquardt) algorithm is adopted to optimize an RANSAC transformation matrix, so as to form a pavement panorama image; secondly, a layering vehicle tracking method which is based on Camshift algorithm and a motion predictor is provided, so as to solve the problems of vehicle overlapping, partial obscuring and real time tracking; and finally a multi-camera target handoff method based on overlapped region boundary is provided, and a next camera is triggered when the algorithm detects that the target enters into the overlapped region of two cameras, so as to realize vehicle relay tracking. The invention can be widely applied to intelligent monitoring system in outdoor scene or suspicious vehicle continuous tracking system and has wide market prospect and application value.

The invention provides a fault diagnosis method for a rolling bearing based on a deep learning and SVM (Support Vector Machine). The method comprises using a manure learning algorithm in a deep belief network theory to complete a characteristic extraction task needed by fault diagnosis; automatically extracting the substantive characteristics of data input independent of manual selection from simple to complicate, from low to high, and automatically digging abundant information concealed in known data; in addition, classifying and identifying a test sample by adopting an SVM classification method, seeking and finding a global minimum of a target function through an effective method previously designed, so as to solve the problem that a deep belief network may be trapped into a locally optimal solution. According to the fault diagnosis method for the rolling bearing based on the deep learning and SVM provided by the invention, the accuracy and effectiveness of the fault diagnosis method for a rolling bearing can be improved, and a new effective way can be provided to solve the accuracy and effectiveness of the fault diagnosis method, therefore the fault diagnosis method can be extensively applied complex systems in chemistry, metallurgy, electric power, aviation fields and the like.

The invention provides a method for automatically testing embedded software, and aims to provide a method which is not separated in design and execution and is capable of improving the testing efficiency and the testing quality of the embedded software. The method is realized through the following technical schemes of integrating interface design, test planning, test design, test execution, defect management and regression test in a unified platform for management by adopting software engineering; allocating the grades between a data element and a data block according to difference of items, and designing an interface control file; establishing a test cross-linking environment diagram, formulating test types, and designing test items or test sub-items, the name of test cases and the description of test cases; designing independent test cases, forming a scene/business flow test case by linking the independent test cases together through a flow diagram, and saving data of the test design in a database; jointly forming a test platform by enabling the test execution to be combined with the test environment diagram, the test cases and an interface route; automatically recording a test result by a system.

The invention discloses a method for obtaining a resident travel characteristic parameter based on mobile phone positioning data. The method comprises the following steps of: (1) collecting mobile phone positioning data; (2) filtering the mobile phone positioning data, matching the mobile phone positioning data to traffic zones, and obtaining the matched mobile phone positioning data; (3) using users as units, ordering the matched mobile phone positioning data in one day by time, merging the continuous data in the same one traffic zone into one piece, and obtaining mobile phone positioning pretreatment data; (4) according to the number of emerged pieces and influence duration, judging residing points, restoring a travel path between two residing points, and obtaining the travel distance and the travel speed, and then obtaining a travel log table of all users; (5) on the basis of the matched mobile phone positioning data, statistically obtaining a place of residence and workplace result table; and (6) and conjointly analyzing the travel log table and the place of residence and workplace result table, and obtaining resident travel characteristic parameters. The method has the characteristics of low cost, large sample quantity, high precision and high time validity.

The invention discloses a third-party data service system based on Internet-of-Things data collecting. The third-party data service system comprises a data collecting cloud service module, a Web portal management module, a Web Service remote calling assembly module, a mobile application module and a data center management module. The data collecting cloud service module comprises a thread pool dispatching management module, a load optimization management module, a network management module, a data communication management module, a data storage module and an alarm module. The Web portal management module comprises a user and authority management module, an equipment management module, a monitoring point management module, a real-time monitoring module, a visual customization module, a spare part management module, an after-sale maintenance management module, a repair management module, a remote operation management module and a remote diagnosis module. The mobile application module comprises a real-time inquiry module, an alarm inquiry module, a repair registration module, a user feedback module, a maintenance inquiry module and a real-time warning module.

The invention provides an X-ray film bone age prediction method and system based on deep learning. According to the invention, a bone age prediction result is finally formed through performing preprocessing on an X-ray image of a teenager, automatic segmentation of a hand bone area and bone age prediction. The method comprises a hand bone X-ray film preprocessing and sample data enhancement method, a hand bone X-ray film image block sampling method, a hand bone automatic segmentation algorithm and a transfer learning based hand bone X-ray film bone age assessment algorithm, and finally designsa hand bone X-ray film bone age prediction system taking Dicom data as input. Users only need to select a hand bone X-ray film with the bone age to be predicted, the segmentation and prediction process is completely automatic, and doctors are not required to perform region marking or selecting, and a powerful tool is provided for bone age assessment in scientific research and clinical practice.

The invention relates to a high-capacity intermittent industrial wastewater microwave photocatalytic degradation device, belonging to the technical field of wastewater treatment. The existing microwave photocatalytic degradation technology for the organic pollutant-containing industrial wastewater has the problems that microwave energy is wasted and practical single-jar wastewater treatment quantity is relatively small, and has the problem of scaling since an electrodeless ultraviolet lamp screen protector in the device is soaked in wastewater liquid by the outer side face of a quartz tube for a long term. The invention intends to solve the problems globally.In order to solve the problems, an electrodeless ultraviolet lamp is arranged in a silk screen cage-shaped nonopaque microwave restraining device made from metal material, the microwave is guided into the microwave restraining device to be restrained, the useless dissipation of the microwave can be stopped, and the designed volume of an expander can be allowed to be greatly enlarged on the basis of the structure, so that the single-jar wastewater treatment quantity of a reactor can be greatly improved. An ultrasonic transducer is attached to the outer side face of the side wall of the reactor, so that the scale can be timely removed after the high-frequency ultrasonic wave reaches up to the scale.

The invention provides a face clustering based video categorization method and a retrieval method as well as systems thereof. The method comprises steps as follows: a video file is subjected to shot segmentation; a video shot is subjected to face detection to obtain a face picture and relevant information; a detected face picture is subjected to duplicate removal; facial feature extraction is performed on the face picture subjected to duplicate removal, and extracted facial features are stored into a face feature library; feature clustering is performed on the face picture; the category of each face stored in a face category library is manually annotated; face metadata are automatically generated according to the manually annotated face category and the relevant information of a face in the category, the face metadata are added into an original catalogued file, and a final video catalogued file is obtained. The video categorization method, the retrieval method and the systems have the advantages as follows: the video file is automatically, accurately and efficiently catalogued, and manpower is greatly saved; a face sample library is not required to be prefabricated; a video retrieval function based on a human name and a picture is provided, and the convenient and efficient retrieval advantages are realized.

The invention discloses a full automatic biochip detection system belonging to the clinical detection field of multi-marker biochips. The system adopts modular structure and comprises an automatic sample processing module, a reaction washing module, a detection module, a Tip head storage module, a reagent storage module, a biochip storage module, a sample storage module, a system base, an electric control box and a computer, the electric control box and all the modules are operated under the control of software, so as to realize the automatic sampling, the sample adding, the reaction, the washing, the detection and other processes. All the modules can work independently and can also be combined together and matched for work. The full automatic biochip detection system can overcome the shortcomings of the existing biochip detector and reduce the errors caused by human operation, and has stable and reliable detection result and good flexibility, so that the full automatic biochip detection system can not only greatly improve the detection efficiency, but also can be conductive to the accuracy of the detection result; the system has simple operation, therefore, the system is not only applicable to the scientific research and the applications of laboratories and hospitals, but also can be used for large-scale sample screening of large-scale hospitals and blood stations.

The invention relates to the field of labeling equipment and in particular relates to a full-automatic PCB labeling machine and an implementation method thereof. The full-automatic PCB labeling machine comprises a frame, wherein a runner mechanism used for conveying PCBs is arranged in the frame; a label supply mechanism used for supplying label strips and stripping to-be-attached labels in the label strips is arranged at a position, which is positioned on the runner mechanism, in the frame; a labeling manipulator mechanism used for transferring and attaching the to-be-attached labels to the corresponding positions on the PCB is arranged at a position, which is positioned at the output end of the label supply mechanism, on the runner mechanism; and a labeling induction camera used for identifying position information of the to-be-attached labels of the PCB and label information is arranged on the labeling manipulator mechanism. According to the labeling machine disclosed by the invention, the on-line synchronization between production site information and an internal or external system information network can be realized by virtue of a network communication module in a control cabinet, the labels are attached to the surfaces of the PCBs or components with different angles, the labeling application range is wide, and the universality is high; and moreover, different materials can be adhered, the integration is high, the automation is high, the manual operation is not required, and the labeling sequence, labeling strength and frequency can be changed according to needs.

The invention relates to a method for rapidly detecting the content of index components of Chinese medicinal materials by using near-infrared spectroscopy technology, which can realize the rapid detection of the comprehensive quality of Chinese medicinal materials. Collect the sample, collect the near-infrared diffuse reflectance spectrum of the sample, and preprocess the obtained spectrum, then use the detection method corresponding to the sample in the conventional method to measure the content of its index components, and combine the spectrum with the content of the index components, The quantitative analysis model is established by adopting the chemometrics method suitable for the analysis of the components of traditional Chinese medicine, the sample to be tested is crushed, and its near-infrared spectrum is scanned, and the spectrum is input into the quantitative analysis model to measure the content of the index components in the Chinese medicinal material. The whole process takes a short time, is fast and accurate, can be measured online, improves production efficiency, greatly saves manpower and material resources, and can generate huge economic and social benefits.

The invention mainly discloses a river way multipoint water quality monitoring apparatus and a monitoring method therefor. The monitoring apparatus includes a monitoring body, a power apparatus and water collectors. A solar cell panel, a storage battery and a protective cover are disposed on the top surface of the monitoring body. At least three water collectors are disposed under the monitoring body through telescopic rods. A water storage chamber is arranged in each water collector. A water collection port is arranged on the bottom of each water collector and is provided with a sealed cover. A sampling tube is disposed in each telescopic rod. A detection chamber provided with a detection head and a wireless communication module are arranged in the monitoring body. One end of the sampling tube is connected to the water storage chamber. The other end of the sampling tube is connected to a splitting pipe through an electromagnetic valve. The splitting pipes are connected to the detection chamber. The monitoring apparatus is used for performing multipoint auto-monitoring to a to-be-detected water area for a long time instead of manual work. The monitoring apparatus is environment-friendly and economical, has sufficient energy and has wide detection range, can detect multiple water points at the same time and can get many detection data. Water collection and detection are separated into two independent parts, so that damage on the detection head due to aquatic animals is avoided, quality and service life of the monitoring apparatus are improved, and detection accuracy is increased.

The invention discloses a pipeline inner wall rust removal device, belonging to the technical field of polishing units. The device comprises a first end cover and a second end cover which are hermetically installed at two ends of the pipeline, a rust removal trolley is arranged in the pipeline, the dust removal trolley comprises a pneumatic motor with dual output shafts, a shell of the pneumatic motor is provided with a plurality of support shafts, the end part of each support shaft is provided with a roller wheel, a grinding disc is fixedly installed on the output shaft of the pneumatic motor, close to the first end cover, and is provided with a plurality of support rods in the radial direction, the end part of each support rod is provided with an abrasive disc, the output shaft of the pneumatic motor, close to the second end cover, is connected with a shot-blasting machine in a transmission manner; the end part of the grinding disc is connected with a traction rope, the traction rope extends out of the first end cover, one end of the shot-blasting machine, close to the second end cover, is connected with a shot feeding pipe, the pneumatic motor is connected with a gas inlet pipe, the shot feeding pipe and the gas inlet pipe extend out of the second end cover. The pipeline inner wall rust removal device can be used for solving the technical problems that the pipeline inner wall is serious in rust removal pollution and the rust removal effect is poor, and can be widely applied to pipeline cleaning.

The invention provides a PCB (printed circuit board) defect mass detection system, which comprises a thermal infrared imager, a black body, a detection platform, a pressure sensor, an image format conversion module, a power supply and control module, a counting and timing module and an analysis platform, wherein the thermal infrared imager collects the infrared radiation energy of a detected PCB and outputs corresponding infrared images, the black body provides reference for the target temperature measurement, the power supply and control module provides excitation signals of the detected PCB, and controls the work of the thermal infrared imager, the counting and timing module carries out counting coding on the detected PCB and records the excitation signal duration of the detected PCB, the analysis platform analyzes and processes the temperature information and infrared images of the detected PCB in the electrified stage, the fault information of the detected PCB is obtained, and a statistical form is produced. The PCB defect mass detection system has the advantages that the infrared images of the tested PCB in the electrified state are obtained, various kinds of circuit faults can be automatically detected, the detection fault range is wide, and the fully automatic fast and continuous detection is realized.

The invention belongs to the field of parking lot management system, in particular to a large comprehensive parking lot management system used in a large parking lot consisting of a plane parking lot and a solid parking lot, or a large parking lot consisting of a plurality of solid parking garages. The large comprehensive parking lot management system comprises a central computer system and corresponding software. Solid garage control and management intelligent devices, working stations of overall entrances of parking lots and computer systems are connected together. The database server of the central computer system receives the information from the working station computers of the entrances of parking lots and the solid garage control and management intelligent devices. The central computer is responsible for exchange and processing of the database server and solid garage management systems. The invention can provide a ground parking lot management system which can communicate with and share information with the solid garage management systems. By adopting the invention, drivers can find parking spaces conveniently and quickly. The invention is highly intellectualized so that cars can be stored and retrieved with brushing a card , thus reducing large-scale comprehensive parking lot management system requiring manual operation.

The invention discloses a cutting-stirring friction welding composite processing device for a floating double-shaft-shoulder double-stirring needle and a manufacture method thereof, and particularly relates to a combined or composite processing device capable of simultaneously carrying out milling or cutting processing and stirring friction welding processing and a method thereof. The cutting-stirring friction welding composite processing device for the floating double-shaft-shoulder double-stirring needle integrates a cutting system or a milling system, a stirring friction welding system, a forced cooling system, a gas protection system, a temperature sensing system, a pressure induction system, a milling liquid supply system and a sensing-free system. The cutting-stirring friction welding composite processing device has functions of temperature control, gas protection, pressure detection, cooling liquid protection, milling head replacing and floating double-shaft-shoulder self-supporting stirring friction welding. The method for carrying out cutting-stirring friction welding composite processing on workpieces can meet strength requirements of mechanical processing of ferrous light metal materials, carbon steel materials and alloy steel materials. The cutting-stirring friction welding composite processing device for a floating double-shaft-shoulder double-stirring needle and the manufacture method of the cutting-stirring friction welding composite processing device reduce manufacture procedures, save processing cost, have the advantages of being high in efficiency, excellent in quality, high in stability and saving in energy, break through limitation of conventional machining technology, form a new method and a new thought for machinery processing, and have wide application prospects in industries of heating, air conditioners, ice manufacture, freshness keeping, medicine preparation, construction, aquatic products and foods.

The invention discloses a hermetia illucens breeding system and belongs to the technical field of green cultivation. The hermetia illucens breeding system comprises a culture pond and a ceiling arranged at the upper part of the culture pond; the culture pond is sequentially provided with a water absorption layer, a heating device and a grid layer from bottom to top; the heating device comprises a heating tape and a fixing frame for fixing the heating tape; a compost is put on the upper part of the water absorption layer; the heating device is located in the compost; the grid layer is located on a surface layer of the compost; a lifting device is arranged on the side of the culture pond; the lifting device drives the heating device to lift; and a heat preservation cover is arranged at the top of the culture pond. Hermetia illucens is bred by using the hermetia illucens breeding system, so that the survival rate of hermetia illucens larvae is high and the hermetia illucens is not affected by an external environment; furthermore, the hermetia illucens is easily separated from the compost and insect feces do not need to be cleaned, so that the cost of manpower and material resources is greatly reduced. In addition, the compost in the culture pond is digested and fermented in the hermetia illucens breeding process and can be directly returned to the field as an organic fertilizer, so that the hermetia illucens breeding system is economical and environmentally friendly.