87results about How to "Achieve screening" patented technology

The invention discloses a rapid food quality detection device. The device comprises a base, wherein a feeding mechanism and a detection machine box are fixedly connected to the left side and the rightside of the top of the base respectively, a visual detection mechanism is fixedly connected between the feeding mechanism and the detection machine box, an electric telescopic rod is fixedly connected to the top of the inner surface of the detection machine box, and the bottom end of the electric telescopic rod is fixedly connected with a first pressure detection cylinder. The invention relates to the technical field of food detection. According to the rapid food quality detection device, the electric telescopic rod can drive push plates to ascend and descend while driving the detection mechanism to ascend and descend, stepping motors are used for cooperating with rotating shafts to drive the rotating shafts to rotate, meanwhile, an overturning plate is arranged to be in a left-right overturning mode, under the qualified detection condition and the unqualified detection condition, the push plates on the two sides can overturn the overturning plate in different directions correspondingly, then screening of unqualified products is achieved, a pressure detection mechanism and a screening mechanism are carried on the same driving structure, the structure is simple, the cost is low, and use is convenient and effective.

The invention relates to a mealworm cultivation box which comprises a frame, wherein drawer-type cultivation boxes are arranged in the frame in a layering manner, two side surfaces of each layer of cultivation boxes are respectively fixed on two suspending plates, and suspenders are connected to the tops of the two suspending plates. Because two side surfaces of each layer of mealworm cultivation boxes are respectively fixed on the two suspending plates, each layer of cultivation boxes and the suspending plates at two sides of the cultivation boxes are integrated into a whole, through lifting the suspenders connected to the tops of the two suspending plates, and lifting each layer of cultivation boxes for a certain height; and on the premise of not taking and placing the cultivation boxes up and down, fecula and ova are removed through screening, thus the labor intensity of workers is greatly reduced, the labor force is saved, and the labor productivity is increased.

The invention discloses a full-automatic fundus camera. The full-automatic fundus camera comprises a shell, an image-forming module, a three degrees-of-freedom motion module, a pupil location unit and an automatic focusing unit. Compared with the prior art, a professional fundus retinal image can be automatically shot as long as a photographed person focuses on an observation window, so that a professional doctor can conduct a remote diagnosis and then push the diagnosis information to the photographed person, and thus the fundus camera is made likely to enter a grassroot health-center and a medical institution in a remote area, and whole-people popularization and screening can be achieved.

The invention belongs to the technical field of the wireless cooperative communication system, and specifically relates to a wireless relay network dynamic motivation mechanism design method based on contract theory. For a selfishness demand and an information asymmetric feature of a mobile relay node in the wireless relay network, the invention provides a dynamic motivation mechanism design method based on the contract theory. In consideration of the computing resource and a power changing feature of the mobile relay node, a two-stage dynamic contract motivation model is researched on the basis of establishing a mobile relay node model and a source node model, the mobile relay node is motivated to participate the long-term energy transaction by screening the real cost information of the mobile relay node in the premise of satisfying the compatible constraint and participation constraint of the mobile relay node, thereby avoiding the additional cost produced by renegotiating or selecting another transaction object, and the source node can acquire the maximum expected utility.

The invention discloses a low-voltage power distribution system series fault arc identification method based on all-phase deep learning. In an existing low-voltage power distribution network fault, the identification method for a series fault arc is easily disturbed by a noise and spectrum leakage, an identification effect is affected, identification efficiency is not high, and stability is not high either. In the invention, the above problems are solved. The method comprises the following steps of under a low-voltage alternating current system, carrying out current signal collection on different loads in a low-voltage loop; carrying out all-phase discrete Fourier transform on a collected current signal, carrying out full-phase spectrum characteristic quantity extraction of a load, and constructing an all-phase spectrum characteristic vector; constructing a deep learning neural network model based on Logistic regression, carrying out deep learning training on all-phase spectrum characteristic quantity under the different loads and different operating states till that the model converges; and using the trained model to complete screening of different load types and identification ofwhether the series fault arc occurs.

The invention discloses a near-infrared laser illumination imaging system and a near-infrared laser illumination imaging method for safety inspection. A power supply system is adopted for providing a power supply for imaging of a visible light-near-infrared camera, an imaging controller and a near-infrared plane imaging camera, so that higher stability is obtained; the imaging controller is used for carrying out time-sharing control on light emitting of laser diodes and triggering the near-infrared plane imaging camera to image while light emitting is carried out by the laser diodes; laser light in certain wavelengths can be generated by multiple laser diodes and a driving power of the multiple laser diodes; an image collecting and processing terminal is used for carrying out parameter setting on the imaging controller and collecting, storing and processing sequential images irradiated by the laser light in different wavelengths; the type of a to-be-detected target can be determined by referring to a preset target reflection spectrum feature library according to reflectivities of the target under the different laser wavelengths in a scene of an image grey scale inversion place; existing equipment and existing programs are utilized for solving the problems existing in the safety inspection field that the detecting difficulty is large and the distinguishing of hazardous liquid and safe liquid is uneasy.

The embodiment of the invention provides a method and a device for testing storage. The storage comprises a self-testing controller. The method comprises the following steps: connecting the storage with a first testing device and sending a self-test starting instruction to the storage by the first testing device; confirming various to-be-tested functions of the storage by the self-testing controller and circularly testing the storage according to the to-be-tested functions till the circular times are equal to the preset maximal test times; connecting the storage with a second testing device, testing all the functions of the storage by the second testing device and confirming that the storage fails if any function fails to pass the test. According to the embodiment of the invention, the ageing test process is simplified, the convenience in ageing test and the output efficiency of the bath production of the storage are promoted, the requirement of the ageing test for the test equipment is greatly reduced and the ageing test cost of the product is lowered.

The invention discloses an establishment method and application of a tumor classification and identification model, belongs to the field of medical disease diagnosis, aims at the problems that samplepreprocessing is complex and time-consuming due to need of location and collection of tumor focus specimens in current pathological diagnosis, small tumor tissues such as early tumor, small residual diseases and circulating tumor cannot be screened diagnosed in the prior art, and provides the establishment method of the tumor classification and identification model. The method is established basedon a plasma emission spectrum of a biological liquid sample, and is combined with chemometrics and a machine learning classification algorithm. The model established through the method can be integrated into a tumor diagnosis and screening instrument, and a rapid and accurate method for large-scale tumor screening and diagnosis of the early tumor and precancerous lesion stage diseases is provided.

The invention provides a vehicle communication method and a communication device, and relates to the field of vehicle communication. The method comprises the steps: receiving a first message, whereinthe first message comprises a verification field and a unique identifier, and the unique identifier comprises a frame identifier ID and an internet protocol IP address; checking the first message according to the check field of the first message; and storing the checked first message into a cache space corresponding to the frame ID according to the frame ID. The method is applied to vehicles suchas a networked vehicle, an intelligent vehicle, an automatic driving vehicle and the like, and message identification is achieved by setting a unique identifier for the message, so that synchronous sending of the message and discrimination of the message are ensured. The requirement for the precision of the vehicle-mounted equipment is not too strict, alignment time is not needed at all, and therefore the method is suitable for the vehicle-mounted equipment in an existing vehicle. In addition, an independent cache space is set for each frame ID, so that the message is more convenient and faster to store and read.

The embodiment of the invention discloses a tax data anomaly analysis method and system. The tax data anomaly analysis method comprises the steps that access is made to a commodity information tree generated according to tax information, wherein at least commodity names and commodity categories are saved in the commodity information tree; statistics is performed on tax data of a target enterprise object within a set time period and tax data of all enterprise objects in the category which the target enterprise object belongs to within the set time period according to the tax information and the commodity information tree; and whether the tax data of the target enterprise object within the set time period is abnormal or not is analyzed according to the statistical result. Through the embodiment, discrimination of tax evasion is effectively realized, efficiency is high, and discrimination cost is greatly saved.

The application relates to the field of production management, and in particular to a data acquisition system and a data acquisition method. The data acquisition system comprises the following parts of a material data acquisition module configured to recognize identification information of each material of the entire machine, record the identification information, and establish associations between the identification information of each material to generate material data; a production data acquisition module configured to record the production process data of the entire machine and establish association with the material data; a quality inspection module configured to obtain the material data of the entire machine and the production process data to determine whether the entire machine is normal or abnormal; and a storage module configured to obtain the cost of the normal entire machine when the entire machine is a normal entire machine, and associate and store the calculated cost of the normal entire machine with the material data of the normal entire machine and the production process data in the database. The application can record and interlock the data of the entire productionprocess, ensure that the production data can be traced, and improve the production efficiency and qualification rate.

The invention discloses a star sensor artificial star screening method based on angular distance screening. The method comprises the following steps: (1) all star points in a first frame of a star mapare recorded as initial star points; (2) starting from a second frame, corresponding relations between each star point and the initial star points are established by utilizing a star tracking method;(3) the angular distances between other frames and the initial frame are compared, the angular distances are screened according to angular distance changes, and an angular distance screening matrix is updated; (4) star pairs corresponding to the screened angular distances are used to vote for each star point, and the star points with the excessively low vote numbers are screened; and (5) each frame is output by the screened star points and is sent to a subsequent star map recognition module. The method has the following advantages: (1) the convergence success rate is high, and the convergencesuccess rate is over 98% within 600 artificial stars; (2) the convergence speed is high, and all the artificial stars can be screened by only at most 10 frames of the star map on average; (3) the adaptability to the number of the artificial satellites is high, and all the artificial stars can be screened from the star map with no less than 700 artificial stars; and (4) the screening of the artificial stars does not depend on shape information of the star points.

The invention discloses a diabetes management method and system, and relates to the technical field of medical assistance. The management method comprises the steps that corresponding examining parameters are received according to the working mode selected by a user; an evaluation result is obtained by comparing and analyzing the examining parameters and preset standards; a monitoring plan and a management scheme of diabetes examining parameters are provided according to the evaluation result. The diabetes management method and system conducts evaluation of illness risk, curative efficacy, prognosis and the like according to the examination result input by the user, gives the corresponding monitoring plan and daily management advice, and provides specialized full guidance and self management. The diabetes management method and system can better achieve screening of diabetes high-risk groups and early intervention and prevention, and guides a treatment scheme and early intervention andtreatment of disease.

The invention discloses a municipal garden landscaping soil environment-friendly repairing treatment device. The municipal garden landscaping soil environment-friendly repairing treatment device comprises a drive gear, a drive shaft, stirring plates, a stirring box, a driven gear and a driven shaft. The municipal garden landscaping soil environment-friendly repairing treatment device is characterized in that the front end portion of the drive shaft is connected with a main shaft of a gear motor through a coupler; the drive gear is arranged at the front portion of the drive shaft; the drive gear is engaged with the driven gear; the driven gear is installed at the front end portion of the driven shaft; the driven shaft and the drive shaft are arranged in the stirring box in parallel; the outer side of the driven shaft and the outer side of the drive shaft are provided with the stirring plates; the upper portion of the front portion of the stirring box is provided with a soil adding pipe and a repairing agent adding pipe; the bottom of the rear end of the stirring box is provided with a discharging pipe; a gate valve is arranged on the discharging pipe; and a screen is arranged at the bottom of the discharging pipe. The municipal garden landscaping soil environment-friendly repairing treatment device has the beneficial effects that energy consumption is low, mixing uniformity is good, use is convenient, and the cost is low; and repairing of polluted soil can be achieved rapidly.

The invention discloses an intelligent firewall method, device and system. The method includes: establishing a wireless connection with a smart phone bound to the smart phone through bluetooth to obtain the address book of the smart phone; The phone number is matched with the number in the address book, and it is judged whether the phone number belongs to the number in the address book; if the phone number does not belong to the number in the address book, then send to the smart phone The number verification request instruction for matching the phone number with the phone number in the malicious phone database, and receiving the phone number matching result sent by the smart phone, and performing corresponding operations according to the matching result. The invention can automatically shield functions of malicious harassment, promotional advertisements and fraudulent calls, and realizes the call firewall function on a smart wearable device wirelessly connected to a smart phone through bluetooth, thereby protecting the security of the mobile phone system and reducing the complexity of operation.

The invention provides intelligent and automatic separate inspecting and tube arranging equipment. The equipment comprises a horizontal conveying device, an oblique conveying device, a baffle, a pipe inlet limiting plate, pipe taking carrying blocks, a pipe control limiting block, a movable pipe inlet limiting plate body, a yarn picking sensor, a yarn striking plate, a yarn outlet, a yarn storing box, a pipe striking plate, a branch pipe sensor, a branch pipe baffle, a first pipe outlet, a second pipe outlet, a first pipe outlet channel, a second pipe outlet channel, moving conveying devices, yarn pipe storing boxes, a full pipe sensor and an electrical apparatus control system. The intelligent and automatic separate inspecting and tube arranging equipment has the advantages that the structural design is ingenious and simple, the space is saved, the problems that yarns and yarn pipes are difficult to control and position in an immediate state are solved, the boxes are replaced automatically when the boxes are fully filled with the pipes, and workers used for separate inspecting and tube arranging for the yarns and the yarn pipes are saved.

The invention discloses a device for secondary recycling of activated carbon. The device includes a pedestal, and a cleaning chamber, fixed buckles and a drying chamber are fixedly connected at the top of the pedestal from left to right in order, the inner surface of the cleaning chamber is fixedly connected to ultrasonic vibration rods, which are electrically connected to an ultrasonic generator,the back of the ultrasonic generator is fixedly connected to the outer surface of the cleaning chamber's bottom, and the cleaning chamber's bottom is fixedly connected to a drain pipe. By setting theultrasonic vibration rods and the ultrasonic generator, the device for secondary recycling of activated carbon provided by the invention realizes physical cleaning of activated carbon adsorbates; bysetting a cleaning barrel and through-holes on the cleaning barrel, the device realizes screening of small activated carbon, and is convenient for cleaning and removal; by setting heaters and a stirring unit in the drying chamber, the device realizes thorough drying of cleaned activated carbon; and the set fixed buckles and hang buckles facilitate the collection of activated carbon.

The embodiment of the invention discloses an image information processing method and a related apparatus. The method comprises: image information of a vehicle in accident is obtained, wherein the image information at least includes image information of a damaged part of the vehicle in accident as well as environment image information at a preset distance with the damaged part and the damage part includes a first damaged part of a first vehicle in accident and a second damaged part of a second vehicle in accident; the image information is processed to obtain first feature information of the first damaged part and second feature information of the second damaged part; and when the first feature information is detected to match the second feature information, the image information of the vehicle in accident is sent to a background management center. According to the technical scheme provided by the embodiment of the invention, screening of insurance-cheating image information is realized to a certain extent, so that occurrence of an insurance-cheating behavior can be reduced and thus the property losses caused by the insurance-cheating behavior can be reduced.

The invention discloses a method applied to quantitative detection of carbon dioxide exhaled by cancer cells, belonging to the field of fluorescent biosensors. The method comprises the following steps: firstly dissolving TPP-DMAE in DMSO and adding a high-glucose DMEM culture medium to obtain a mixed solution; transferring the cancer cells into a culture dish, culturing and washing, adding the mixed solution and the high-glucose DMEM culture medium, culturing and washing, adding a fixation agent, standing, washing, adding a buffer solution to obtain a to-be-detected sample; detecting the fluorescence intensity of the to-be-detected sample, comparing a value of a fluorescence intensity-time change rate caused by CO2 generated by self metabolism of the cancer cells with a value of a fluorescence intensity-gas volume change rate after introducing gas into deactivation cells, and taking the volume of gas introduced in the time period corresponding to the same fluorescence intensity change rate as the volume of CO2 generated by the self metabolism of the cancer cells in different time periods. The method is capable of quantitatively detecting the content of carbon dioxide generated by metabolism of active cells and discriminating the types of the cancer cells.

The invention relates to the technical field of lithium battery die-cutting auxiliary materials, in particular to a lithium battery die-cutting auxiliary material visual inspection device which comprises a rack; the feeding conveying mechanism and the discharging conveying mechanism are installed on the machine frame, the rotating platform is arranged between the discharging end of the feeding conveying mechanism and the feeding end of the discharging conveying mechanism, and an installation table and a lifting assembly driving the installation table to ascend and descend are arranged on the rotating platform. A first transfer conveying mechanism and a second transfer conveying mechanism are arranged on the mounting table; the rotating assembly and the first visual detector are arranged on the rack; the controller is used for obtaining the height position of the first transferring and conveying mechanism when receiving a switching signal and controlling the rotating assembly and the lifting assembly to act according to the height position of the first transferring and conveying mechanism. The method has the effects of improving the detection accuracy and reducing the labor cost.

Provided is a technology capable of performing rapidly and precisely health medical examination even in a group by providing a health medical examination system which is capable of increasing the accuracy of health medical examination and minimizing the time taken to perform a precise examination item. A health medical examination method including precise examination information according to the first embodiment of the present invention includes the steps of receiving information about a health medical examination of an examinee from a plurality of health medical examination equipment; and storing the information about the health medical examination of the examinee in a medical database. The step of receiving the information about the health medical examination receives information about a part of multiple series which are included in magnetic resonance imaging (MRI) photographing, which serves as information about a screening test of testing whether at least a preset part of the body of the examinee is abnormal.

The invention discloses centrifugal anthracite viscosity testing equipment, and belongs to the field of automatic measurement equipment. The testing equipment comprises an analytical balance, a weighing pan, a motor, a motor rack, a clutch rack, a bearing A, a clutch, a bearing B rack, a bearing B, a composite rotating drum, a bearing C and an end cover, wherein the weighing pan is mounted on the analytical balance, and located under the composite rotating drum; the motor is mounted on the motor rack; an output shaft of the motor is connected with the left end of the clutch; the clutch penetrates through the bearing A mounted on the clutch rack; and the end cover is mounted at the right end of the composite rotating drum. The centrifugal anthracite viscosity testing equipment can crush bitumite at a high speed and can sieve the bitumite by virtue of a centrifugal force.

The invention discloses a computer network safety control method; in network safety control, the method can set a computer monitoring terminal, and sends a monitoring request to a monitoring server; the monitoring server verifies the request information so as to determine whether to have the request information processing authority or not, thus preventing a computer outside a computer network from having data exchange with the monitoring server; the request information is encrypted by the computer monitoring terminal; if the monitoring server cannot decrypt the request information, the request information is considered to come from a place outside the computer network, thus safely and simply discriminating the computer; the method also converts the data obtained from a computer with authority into digits according to a preset strategy, and uses a preset encryption algorithm to encrypt the digits, thus providing the digits to the server, and allowing the server to determine the operation conditions of a monitored network computer according to the encryption data.

The invention provides a system for predicting a coronary heart disease onset risk through facial picture analysis. The system is composed of a data acquisition module, a data preprocessing module, amachine learning module, a risk assessment module, an expert system module and a display output module. According to the system for predicting the coronary heart disease onset risk through facial picture analysis, coronary heart disease prediction can be performed by analyzing human facial pictures, and the obtained result is superior to the result of an existing clinical model; operation is easy,photographing can be achieved, assistance of doctors is not needed, a user can achieve coronary heart disease screening completely through self-reporting, and use is easy and convenient; and comparedwith the prior art, the system is more suitable for large-range community screening of high-risk populations.