109results about How to "Avoid human manipulation" patented technology

The invention discloses an automated instrument applied to nucleic acid extraction and continuous operation process of a mass spectrum sample application chip in biomass spectrometry analysis of a nucleic acid sample. The automated instrument comprises three main devices, namely, a nucleic acid extraction and purification device, a nucleic acid liquor relief distributing device and a mass spectrum chip sample application device, wherein nucleic acid in body fluid is extracted by using a magnetic bead method, a mechanical arm is utilized to complete a nucleic acid extraction action, the extracted nucleic acid is dispensed onto a sample board through a dispenser, a pipettor is used for transferring the sample board onto a chip sample application instrument, and the mass spectrum and relatedinformation of the nucleic acid are obtained through laser sampling of a mass spectrometer, so that the nucleic acid is analyzed rapidly, directly and continuously. The automated instrument is high-precision in controlling the volume of dispensed liquor, high-cleanliness in controlling the quality of the dispensed liquor and high-efficiency in meeting sample application requirements of large-batch samples; meanwhile, the samples are uniformly distributed under the control of a computer program, volume errors and possible foreign pollution caused by manual operation are avoided, and the speed and efficiency in sample application are increased at the same time.

The invention relates to the technical field of patrol inspection of electric power circuits and more specifically relates to an intelligent flight control method and system for fine patrol inspection of a UAV. According to the invention, first, through manual fine patrol inspection, patrol inspection path nodes can be recorded in detail and patrol inspection paths are played back and optimized. Second, pilot fight verification is performed continuous optimization is executed. Finally, a fine patrol inspection path database for each iron tower is formed. Based on the optimized patrol inspection path databases, full automatic flight patrol inspection for the iron towers can be realized. By adopting the iron tower fine patrol inspection operation mode, patrol inspection flight paths are optimized; the positioning precision is far higher than that of manual operation, flight photographing is normalized and quality is ensured. Besides, each UAV can provide patrol inspection for multiple iron towers, outside-visibility range photographing can be realized and battery consumption in a flight process can be in fine control, so that patrol inspection efficiency can be improved. Besides, technical difficulties for patrol inspection operation workers are reduced and the application range is enlarged.

The invention discloses a stacked type intelligent air treatment system and belongs to the technical field of gas purification treatment systems. The stacked type intelligent air treatment system comprises a base and an outer shell. The bottom of the outer shell is provided with an air inlet port layer, and the top of the outer shell is provided with an air outlet port layer. A gas monitoring layer, an electrostatic precipitation layer, an activated carbon layer, a fan layer, a display control layer, a heat conductive plate layer, a light-catalyzed reaction layer and an odor source generation layer are sequentially arranged inside the outer shell in a stacked mode from bottom to top and are connected through heat conductive lines or power lines or data lines. Heat conductive plates of the heat conductive plate layer are made of graphite heat conduction materials, and the heat conductive plate layer is connected with a fan rotating shaft, the electrostatic precipitation layer, an LED catalyzed light source and a display control driver. The gas monitoring layer comprises a temperature and humidity sensor and a formaldehyde and TVOC sensor which are fixed through a support. By the adoption of the technology, the stacked type intelligent air treatment system intelligently integrates various devices and all functional components are relatively independent, so the stacked type intelligent air treatment system is convenient to disassemble and assemble, simple and attractive in appearance and capable of more quickly and effectively disinfecting, purifying and treating indoor air.

The invention relates to an abrasive belt grinding machine used for grinding and polishing workpieces. The abrasive belt grinding machine comprises a body, a grinding head assembly and a grinding head adjusting mechanism, wherein the body is used for bearing the workpieces; the grinding head assembly is installed on the body and comprises an abrasive belt, a driving wheel, a support plate and a grinding head driving part; the abrasive belt is wound around the driving wheel and the support plate; the support plate comprises a support body and a contact wheel; the support body comprises a first end aimed at the workpieces; a housing groove is formed at the first end; the contact wheel can be installed in the housing groove in a rotary manner; an outer circumferential surface of the contact wheel protrudes relative to the housing groove; the outer circumferential surface, exposed out of the housing groove, of the contact wheel comes into contact with the inner side of the abrasive belt; the grinding head driving part is matched with the driving wheel to drive the driving wheel to rotate; and the grinding head adjusting mechanism is used for adjusting the distances between the adhesive belt and the workpieces in a first direction and a second direction.

The present invention provides a contourlet transform-based image splicing detection method. Contourlet transform can greatly describe contour and directional texture information in an image. According to the method, contourlet transform is carried out on training images, and then, Markov features are extracted; a support vector machine-based recursive feature elimination (SVM-RFE) method is used to carry out dimensionality reduction on a feature set, so that detection efficiency and accuracy can be improved; optimal parameters are found by using the feature set which has been subjected to dimensionality reduction, so that an SVM classification model can be obtained; corresponding feature vectors are extracted from a test image; and the obtained classification model is adopted to carry out classification prediction on the feature vectors of the test image, so that the result of judgment on whether the test image has been subjected to splicing operation can be obtained. According to the method, feature extraction is carried out in a new transform domain, so that the method has high detection efficiency and accuracy.

The invention provides an electric vehicle wireless charging system. The electric vehicle wireless charging system comprises an electrical energy conversion emitting device and an electrical energy conversion receiving device, wherein the electrical energy conversion emitting device comprises a high-frequency inverter and a compensation capacitor which are respectively connected with the two ends of an emitting coil, and the high-frequency inverter is connected with the compensation capacitor; the electrical energy conversion receiving device comprises a compensation capacitor and an AC/DC conversion device, the compensation capacitor is connected with the two ends of a receiving coil, and the AC/DC conversion device is connected with the two ends of a load coil. Compared with the prior art, the electric vehicle wireless charging system not only resolves the problem that a battery of an electric vehicle is low in energy density, but also can reflect interaction between the electric vehicle and a power grid during charging better, and weaken influence on the power grid caused by charging of the electric vehicle.

The invention discloses a construction site fugitive dust monitoring and automatic-spray dust suppression system. The construction site fugitive dust monitoring and automatic-spray dust suppression system comprises an environmental monitoring system analytical engine, a control system, an automatic water supply system and multiple spray devices, wherein the control system is connected with the environmental monitoring system analytical engine and the automatic water supply system; the automatic water supply system is connected with the multiple spray devices. Automatic dust suppression is performed at any time according to side environment needs, the water consumption of dust suppression is saved, labor cost is reduced, the problem of fugitive dust on a construction site work plane and road is solved, and the dust suppression effect is improved.

The invention discloses an ant colony algorithm-based self-adapting stochastic resonance system parameter selecting method, which comprises the steps of: firstly, carrying out pretreatment on a signal to enable the signal to satisfy with the requirements of a stochastic resonance small parameter and selecting an ant colony algorithm with an appropriate category; then, setting initial parameters in the ant colony algorithm according to known conditions and requirements; and finally, carrying out parameter optimization of stochastic resonance by using the selected ant colony algorithm and guiding the direction of the ant colony algorithm according to characteristic values returned by stochastic resonance treating signals till optimal parameters for a stochastic resonance system are found in a self-adapting way. The ant colony algorithm-based self-adapting stochastic resonance system parameter selecting method has the advantages that the parameter optimization in a large-scale area can be realized by using smaller ant colonies, the problem that the application of stochastic resonance is restricted due to difficulty in selecting system parameters is solved and effective diagnosis for incipient failure of mechanical equipment can be realized.

The invention discloses a safety interlock control system and a control method for a fixed bed anthraquinone process hydrogen peroxide device. Temperature measurement instruments are arranged in an oxidation tower and an extraction tower; the temperature and the temperature rising rates of the oxidation tower and the extraction tower are set into interlock values; automatic opening and closing of a valve under an abnormal working condition are achieved; and hazardous materials are rapidly withdrawn to an accident tank or an accident pond. Through the safety interlock control system, the hydrogen peroxide production process is controlled; safe production of the device is ensured; and a firing explosion accident is avoided.

This invention relates to a safe and quick monitor system and a method for farm product qualities based on networks including a quality test terminal and a server, in which, the terminal is used in getting test data and sending said data to the server, which is used in sorting the test data, enquiring and outputting report forms, the method includes: the test terminal gets test data and sends the data to said server, which sorts the test data, enquires and outputs the reports forms.

The invention discloses a flexible production line operation method and system, and the system comprises: a man-machine interaction module which is used for obtaining a production request of a user; an information extraction module which is used for acquiring image data of the target object according to the production request and extracting attribute information and material parameter informationof the target object from the production request; an information analysis module which is used for analyzing main body connection information of the target object according to the image data and the attribute information; and a scheme generation module which is used for obtaining a material and a connection scheme corresponding to the target object from a preset standard library according to the material parameter information and the main body connection information. Through implementation of the invention, the influence caused by manual operation can be avoided to the maximum extent, the production transformation scheme suitable for user requirements can be quickly, conveniently and efficiently generated for the user to select, the problems of low production efficiency and low quality caused by manual participation in an existing production process can be solved, and meanwhile better use experience can be brought to the user.

The invention relates to the field of big data, and provides an interface data model conversion method, a device, equipment and a storage medium, which are used for improving the interface interaction efficiency of a system. The conversion method of the interface data model comprises the following steps: creating an interface data model table and an interface relationship table according to a server interface document; retrieving the interface data model table and the interface relationship table to obtain server interface information corresponding to the consumption interface data model; writing the field mapping relationship configuration information into a preset initial field mapping table to obtain a target field mapping table, the target field mapping table comprising an interface mapping relationship; when a calling request sent by a consumption terminal is received, retrieving the interface mapping relationship based on the calling request to obtain a query result; and judging whether the query result is preset information or not, and if the query result is the preset information, performing service data model conversion processing on the consumption interface data model through the target field mapping table to obtain a data conversion model.

The invention discloses a block chain-based delay insurance contract signing system and method, and relates to the technical field of block chain correlation. The block chain-based delay insurance contract signing system and method realizes decentralization effect through the arrangement of the block chain. The decentralization means that a plurality of nodes are distributed in the block chain network, the nodes can be freely connected to exchange data, assets, information and the like, and a third-party center mechanism is not needed, so that the efficiency of delayed insurance signing is effectively improved. The complete behavior record can effectively inhibit insurance fraud behaviors of the insurance applicant with bad risks. Information on the block chain is public and transparent, and personal identity information, various transaction records and the like can be verified through a self-proving mechanism. According to the technical scheme, the delayed insurance contract signing system and the block chain system are combined, the procedure complexity of the signing process is greatly simplified, signing information is recorded into the block chain system, and the possibility that false signing and default are not responsible is effectively avoided.

The invention relates to the field of light-sensitive device performance testing, in particular to a CCD imaging system calibration and adjustment device. The CCD imaging system calibration and adjustment device comprises an integrating sphere light source and a collimator. The collimator is a shell arranged in the front-and-back direction, and the front end of the shell is provided with an outlet light bar. One side of the shell of the collimator is provided with a target, the target is close to the outlet light bar, an included angle formed between the target and the outlet light bar is 90 degrees, and a secondary plane mirror, a primary parabolic mirror and one or more baffle screens are arranged in the collimator. The baffle screens are provided with light through holes, and the primary parabolic mirror is located in the end, away from the outlet light bar, in the collimator. The multiple layers of baffle screens are adopted for shading scattered light, the influence of the scattered light on a CCD imaging system is avoided, the light direction is corrected through the light through holes in the baffle screens, the influences of manual operation are avoided as much as possible, measurement accuracy is high, various parameters can be acquired by replacing different targets, operation is easy and convenient, and the automation degree is high.

A ship unloader association rule fault prediction model method based on a deep belief network comprises the following steps: (1) taking a time sequence of state monitoring of a bridge type grab ship unloader trolley system as model input, and obtaining associated internal feature information and fault categories of the trolley system through sampling and taking the associated internal feature information and fault categories as model output; (2) preprocessing the original monitoring data; (3) carrying out phase space reconstruction on the obtained time sequence, converting the time sequence into a matrix form, and constructing an input and output mapping relationship; (4) training a deep belief network prediction model formed by RBM stacking and a regression layer, and obtaining a future residual error sequence prediction value of which the vibration intensity of each related monitoring point is a time sequence; (5) constructing a fault type and corresponding monitoring point residualerror sequence characteristic constraint function model by utilizing an association rule; and (6) inputting a data set, and predicting by using the trained model. The method is high in precision, simple in calculation and high in engineering practicability.

The invention discloses a bearing collar processing device, and belongs to the technical field of bearing collar processing. The bearing collar processing device comprises a machine body, a conveyingdevice, a moving device, a grinding device, a collection device, a water spraying device, a pushing device and a polishing device, the machine body is vertically placed on the ground, the machine bodyis a hollow structure, the conveying device is fixedly arranged on a top part of the machine body, the moving device is arranged beside the machine body and a moving end of the moving device is located beside a discharge end of the conveying device, the grinding device is arranged in the machine body, the water spraying device is arranged in the machine body and passes through the grinding device, a water outlet end of the water spraying device faces towards the grinding device, the collection device is arranged under the grinding device, the pushing device is arranged beside the machine bodyand docked with the collection device, and the polishing device is arranged on the pushing device. The invention provides the bearing collar processing device, the bearing collar processing device can collect chippings generated by processing production and simultaneously process inner and outer collars of the bearing collar, thus, production time is saved, and processing efficiency is improved.

The invention relates to a vision-guided automobile rear partition board assembling robot which comprises a first loading device for placing a loudspeaker cover, a second loading device for placing anautomobile rear partition board, a joint robot, a control unit connected with the joint robot, and a clamping device for clamping the automobile rear partition board, wherein a jam breaking and assembling executive device is arranged at the tail end of the joint robot; and a visual positioning device and a sucking disc device are arranged on the jam breaking and assembling executive device. According to the vision-guided automobile rear partition board assembling robot, the loudspeaker cover and the automobile rear partition board guide the joint robot to realize automatic assembling operation through visual positioning and avoid manual operation, so that the assembling precision of the automobile rear partition board is improved and the assembling working efficiency is also greatly improved.

The present invention provides a full-automatic polypeptide extraction time-of-flight mass spectrometry detector capable of concurrently extracting bulk samples. The full-automatic polypeptide extraction time-of-flight mass spectrometry detector comprises a polypeptide extraction and purification device, a pipetting distributing device, an automatic sample adding device and a mass spectrometer. According to the present invention, the electromagnetic rod and magnet rod sleeve mode is used so as to completely separate the sample; the polypeptide chip is prepared through the automatic sample adding device; the polypeptide mass spectrum map is obtained through the laser sampling of the mass spectrometer; and the full-automatic polypeptide extraction time-of-flight mass spectrometry detector has characteristics of less time consumption, high efficiency, good uniformity and sample cross-contamination avoiding, and can achieve the same technical effect as the manual operation effect of the existing mass spectrometer.

The invention relates to the technical field of motors, and provides a stepping motor driver and a random subdivision algorithm therefor. The algorithm comprises the following steps: setting a pulse equivalent as a constant, obtaining a phase range according to a subdivision value, wherein the phase range is n times of the pulse equivalent, wherein n is an integer; receiving a pulse signal, and obtaining a relative pulse speed according to the pulse signal and the pulse equivalent; obtaining a current phase value according to the relative pulse speed, wherein the current phase value is m times of the subdivision value, wherein m is an integer; converting the current phase value into a corresponding angle in a phase range of a sine table according to the subdivision value; reading the data of the sine table according to the angle, and outputting a phase current. The method achieves a purpose that the variables will automatically change after a user randomly selects the subdivision, thereby avoiding the later manual operation.

The invention relates to a closestool, in particular to an automatic heating closestool. The closestool comprises a closestool seat, a water tank, a closestool cover and a seat ring. The closestool seat is communicated with the water tank, the closestool cover, the seat ring and the closestool seat are connected through hinges, and the seat ring is arranged between the closestool cover and the closestool base. An electric heating device is arranged in the seat ring. A gravity sensing switch is arranged on the upper surface of the seat ring and is connected with the electric heating device through a circuit. The gravity sensing switch is connected with an external power source through a circuit. The gravity sensing switch is switched on when bearing pressure. When a person going to a toilet sits on the seat ring, the gravity sensing switch bears pressure and then is switched on, and the electric heating device is powered on and starts to perform heating. When the person leaves the seat ring, the gravity sensing switch does not bear pressure and is switched off, and the electric heating device stops heating. Manual operation is avoided because the closestool can start and stop the heating function automatically according to whether a person sits on the seat ring or not.