192results about How to "Reduce human interference" patented technology

The invention provides an automatic extraction device and an automatic extraction method of a nucleic acid based on nano magnetic beads. The device comprises a base (1), as well as a motor, a magnetic bar (6), a magnetic bar clamping mechanism (3), a stirring sleeve (5), a stirring sleeve clamping mechanism (10), a deep hole plate (2), a control circuit and an upper computer which are arranged on the base (1). According to the device and the method which are provided by the invention, the nucleic acid is combined with the nano magnetic beads; and then, the nucleic acid is extracted from a nucleic acid cracking liquid under the attraction of the magnetic bar (6). Thus, the consistency of sample treatment is guaranteed to a great extent; the human interference is reduced; and the cross interference risk is decreased. The device and the method provided by the invention are suitable for the pretreatment of sample inspection in the medicinal field, the biological field, the agricultural field and the like.

The invention discloses a fuzzy image integrated processing method and system. The fuzzy image integrated processing method includes the steps: S10, according to the extension degree of a fuzzy imagespectrogram, identifying the fuzzy type of a fuzzy image, wherein the fuzzy type includes defocus fuzzy and motion fuzzy; S20, if the fuzzy image is defocus fuzzy, estimating the fuzzy kernel througha knife-edge method, and if the fuzzy image is motion fuzzy, adaptively presetting an algorithm to estimate the fuzzy kernel; and S30, based on the fuzzy kernel, by means of a hyper-Laplace prior deconvolution algorithm to obtain a clear image. The fuzzy image integrated processing method and system can distinguish according to difference of the fuzzy type of the fuzzy image, according to the degradation mechanism of different fuzzy type, can set a corresponding fuzzy kernel estimation algorithm so as to estimate a fuzzy kernel which is more realistic, and can perform accurate fuzzy kernel estimation based on a Gaussian model, specifically in allusion to the defocus fuzzy image. The fuzzy image integrated processing method and system have the advantages of being suitable for restoration ofmore real fuzzy images, being simple in the restoration method, being high in pertinency, being accurate and quick in restoration, and being high in quality of restoration.

The invention provides a construction site intelligent monitoring system based on internet of things. The system comprises a monitoring processing unit, an inlet and outlet region monitoring unit and an automobile wash region monitoring unit. The invention further provides a construction site intelligent monitoring method based on the internet of things. By the system and the method, the problem of throwing building materials by a waste vehicle in a construction site can be solved. Violations are subjected to early warning and evidence-taking backtrack by automatically monitoring washing, overloading and illegal operation of the waste vehicle in the construction site.

The invention provides an SaaS-based cloud disaster recovery system. The SaaS-based cloud disaster recovery system comprises a user layer, a disaster recovery control layer and a site agent layer, wherein the user layer provides a disaster recovery service user interface for realizing service selection of a user, erecting a user disaster recovery system and managing an inlet; the disaster recovery control layer is in charge of distributing disaster recovery operation instructions input by the user layer and is used for realizign disaster recovery cloud resource manage, tenant management and emergency management; and the site agent layer comprises at least one site agent, and each site agent receives the instructions sent by the disaster recovery control layer and is used for realizing disaster recovery system layout and disaster recovery switching management. The invention further provides a method of the SaaS-based cloud disaster recovery system.

The invention discloses a river plane two-dimension current model roughness calibration method comprising the following steps: 1, delimiting roughness zones according to river plane features, and initializing the roughness in each zone; selecting the present flow rate with to-be-calibrated roughness and the corresponding river reach outlet water level; using a river plane two-dimension current mathematics model to carry out water-power calculation; determining errors between a model calculated value and an actual measurement value of each monitoring point water level; determining whether the water level error is small enough or not; determining a water pass area according to the water depth, and using all monitoring point water level error interpolation to estimate the water level errors between all grid points in the water pass area; using a dichotomy to adjust the roughness of the grid points in the water pass area according to the water level errors of all grid points in the water pass area; further determining whether all to-be-calibrated flow rates have been calibrated or not; if yes, finishing roughness calibration, and storing the roughness calibration result. The method can reduce artificial interferences in an iteration trial process, thus solving the problems that an existing method is unclear in technical process, rigid in conditions, and hard to apply.

The invention provides an automatic test system and method for a transformer substation measurement and control device. The system comprises a test background server, an exchanger, a network tester, an intelligent tester, a three-phase standard meter, a controllable power source and a GPS clock module. The data exchanging is respectively carried out between the network tester and the test background server, between the intelligent tester and the test background server, between the three-phase standard meter and the test background server and between the controllable power source and the test background server through the exchanger, the test background server is in communication with the measurement and control device through the network protocol, the controllable power source is controlled to supply electricity to the measurement and control device, and time synchronism between the test background server and the measurement and control device is achieved through a GPS clock module. According to the automatic test system and method for the transformer substation measurement and control device, a test task can be automatically generated, detection steps can be automatically executed, detection reports can be automatically generated, the interference of artificial factors is reduced, the test randomness is removed, testing efficiency and testing reliability are improved, testing repeatability is achieved, the traceability of testing work is guaranteed, and the reliability and consistency of the test result are guaranteed.

The invention relates to a method for measuring the alignment accuracy of a machine vision system, comprising the following steps: providing a mark substrate on which a plurality of totally same marks with known positions and intervals are distributed; taking a picture of the mark substrate by using the machine vision system; segmenting the picture of the mark substrate; detecting the graph of each small picture of the mark substrate to obtain the edge of the graph, and calculating the center of the graph according to the characteristic of the graph; obtaining the position of the image of one mark in the machine vision system according to the positions of the small pictures in the whole picture; obtaining the physical positions of the marks on the mark substrate according to the transformation relation of existing coordinate systems of the machine vision system; and comparing the obtained physical positions of the marks with the positions of the known marks on the substrate to measure the alignment accuracy of the machine vision system.

The invention provides an intelligent electric meter state evaluation method based on neural network health degree evaluation, which is a method for establishing and applying a model based on a neuralnetwork, and comprises the steps of A1 a model initial data acquisition method of acquiring network-accessed intelligent electric meter operation related data as initial input data of a neural network model through a power grid marketing business system; A2 screening model input data; A3 model parameter optimization of determining each parameter of the neural network model, and performing parameter training on the neural network model to establish an evaluation model based on the neural network, wherein the evaluation model comprises an electric meter index evaluation model and an electric meter state comprehensive evaluation model; A4 in the application of the state evaluation structure, according to the evaluation result of the evaluation model and the operation cycle of the electric meter participating in evaluation, analyzing the internal relation between the evaluation model and the operation cycle, and predicting the operation sampling inspection time and replacing selection parameters of the electric meter. According to the invention, the electric meter big data accumulated in power grid operation can be utilized to evaluate the on-grid electric meter.

The invention relates to a network link quality prediction method and device, and a readable storage medium. The network link quality prediction method includes the following steps: acquiring link quality sample data in multiple different experimental scenes, and performing link quality grading on the link quality sample data by using a non-supervision clustering algorithm; calculating and evaluating the link quality sample data by using a random forest classification algorithm to obtain a corresponding link quality grade value, and extracting a training set from the link quality sample data to construct a combined classification model; and constructing a random forest regression tree model, and predicting the link quality grade value at the next moment according to the link quality gradevalue and the output result of the combined classification model. The network link quality prediction method can effectively reduce man-made interference during the link quality prediction process, soas to improve the prediction efficiency and the prediction accuracy.

The invention provides an LED (Light Emitting Diode) device sorting machine which comprises a feeding mechanism, a lifting device, a rotating disc, a testing mechanism and a sorting device, wherein the rotating disc is connected with a step motor; the feeding mechanism comprises a vibrating feeding disc and two rows of straight vibrating tracks; two feeding channels are arranged on the vibrating feeding disc; one ends of the two straight vibrating tracks are respectively connected with outlets of the feeding channels of the vibrating feeding disc. According to the LED device sorting machine, measurement of brightness, hue and electric parameter characteristics can be alternately carried out on two LED devices at the same time; feeding is carried out through the two feeding channels of the vibrating feeding disc and the two rows of tracks, so that the feeding efficiency can be enhanced. The lifting device is provided with a double-head lifting mouth, so that the two LED devices can be lifted at the same time; the sorting device is provided with two rows of suction devices, so that the damage to the LED devices caused by single-channel suction negative pressure in the prior art can be decreased, the sorting correctness is high, the sorting speed is high, the manual interference is less, the production process is continuous, the automation degrees is high and the production cost is reduced.

The invention provides an electric vehicle device maintenance and management system. The structure comprises a vehicle-mounted terminal and a maintenance terminal, wherein the vehicle-mounted terminal and the maintenance terminal are connected through a central control terminal real-time communication module. The central control terminal real-time communication module is used for realizing communication between the vehicle-mounted terminal and the maintenance terminal, sending the device information collected on the vehicle-mounted terminal to the maintenance terminal, and receiving maintenance information updated by the maintenance terminal. A central control server is arranged between the central control terminal real-time communication module and the maintenance terminal. According to the invention, through the vehicle-mounted terminal built in an electric vehicle and the maintenance terminal communicating with the vehicle-mounted, a user can visually see related hint information and view maintenance records and maintenance information on a central control screen of the device when the vehicle device approaches maintenance time, exceeds the maintenance time, approaches service life and exceeds the service life; and the user can conveniently and timely maintain the vehicle device.

The invention discloses multifunctional soil sample collecting equipment. The equipment comprises a bracket, and a first sampling assembly and a second sampling assembly which are arranged on the bracket, wherein hydraulic supporting legs are mounted at four corners of the bottom end surface of the bracket; rolling wheels are mounted at the bottom ends of the four groups of hydraulic supporting legs; a horizontal cross beam is fixedly connected between the two groups of parallel hydraulic supporting legs, a screw rod is inserted between the two groups of cross beams, the screw rod is sleeved with a sliding block, the first sampling assembly is vertically mounted on the sliding block, a group of fixing plates are further welded to the outer side of the bracket, and the second sampling assembly is vertically mounted on the fixing plates. According to the multifunctional soil sample collecting equipment, two groups of samples can be sampled at the same time, the overall distance between the two groups of samples is adjusted, the multifunctional soil sample collecting equipment adapts to different sampling depths, sampling is convenient after sampling is completed, fixed-point sampling, soil depth measurement and other functional effects are achieved, the multifunctional soil sample collecting equipment adapts to ground supports with different gradients, and the diversity of the equipment is embodied.

The invention discloses an airflow circulating type bulk curing barn air energy heating and dehumidification system. The system comprises a controller (1), a heating chamber (II), a dehumidification chamber (III), a smokebox (IV); the dehumidification chamber (III) is connected with the smokebox (IV) through a dehumidification air inlet (3-10), a dehumidification air outlet (3-11) is connected with a heating chamber air inlet (2-4) of the heating chamber (II), the heating chamber (II) is connected with the smokebox (IV) of the heating chamber air outlet (2-5), thereby forming an airflow circulating loop; the heating and dehumidification system is integrated with six working modes with different functions, airflow circulating loops and working processes; and the intelligent switching is performed through an embedded algorithm program based on a curing process curve in the controller between the modes. The system disclosed by the invention has the advantages that a heat pump heating anddehumidification system unit is used as a heat supply device and the tobacco leaf curing is performed by adopting multiple airflow circulating work modes, the energy utilization rate and the tobacco quality are improved, and the curing cycle and the cost a reduced.

The invention provides a non-contact detection device and a detection method for the abrasion condition of a groove of an elevator traction wheel. The non-contact detection device comprises a drivingunit, a clamping unit, a detection unit and a control display unit, wherein the clamping unit is arranged on the driving unit, the driving unit drives the clamping unit to move, the detection unit ismatched with the clamping unit so as to detect the abrasion condition of the groove of the traction wheel, the control display unit is connected with the detection unit and is used for controlling thedetection unit to move and displaying the abrasion condition of the groove of the traction wheel, and a plurality of characteristic geometric dimensions of the groove are extracted through an algorithm. The device has the advantages of being high in detection precision, high in test time, convenient to operate and the like.

The invention relates to the field of mine filling body testing devices, and provides a molding device used for preparing mine milltailings filling check blocks and a check block preparation method. The molding device comprises a box-shaped frame, an isolation baffle, a water permeable bottom plate and a forming mold. The side walls of the box-shaped frame are detachable. The side walls of the box-shaped frame are provided with isolation baffle positioning grooves, and the bottom of the box-shaped frame is provided with bottom plate insertion groove holes and bottom plate positioning grooves. The isolation baffle is detachably connected with the box-shaped frame through the isolation baffle positioning grooves, and the bottom end of the isolation baffle is attached to the upper surface of the water permeable bottom plate. The water permeable bottom plate is detachably connected with the box-shaped frame through the bottom plate insertion groove holes and the bottom plate positioning grooves. According to the molding device, the man-made interference in the pouring process of filling slurry is reduced to the maximum extent, the regularity of the check blocks are improved, the testing method is simple and easy to be standardized, the precision of filling check block strength tests is effectively improved, and the molding device is suitable for manufacturing all kinds of mine filling check blocks, especially the preparation of high-requirement and standard check blocks with coarse aggregate slurry, high-concentration slurry, different dewatering conditions and the like.

The invention discloses a high-speed photographing instrument voucher intelligent edge cutting and correcting system based on silhouette extraction. The high-speed photographing instrument voucher intelligent edge cutting and correcting system based on silhouette extraction comprises a high-speed photographing instrument camera (1), a high-speed photographing instrument light supplementing lamp (2), a display (3) and a processor (4) with an image edge cutting and correcting function, wherein the high-speed photographing instrument camera (1) is used for acquiring voucher images in a video; the high-speed photographing instrument light supplementing lamp (2) is used for improving brightness under the condition that an external environment is dark; the high-speed photographing instrument camera (1) and the high-speed photographing instrument light supplementing lamp (2) are connected with the processor (4) with the image edge cutting and correcting function; the voucher images which are acquired by the high-speed photographing instrument camera (1) are subjected to edge cutting and correction treatment by the processor (4); and the display (3) is connected with the processor (4) and is used for displaying a processing result of the processor (4). By the high-speed photographing instrument voucher intelligent edge cutting and correcting system, manual operation is not required; and the anti-interference property and the adaptability of the voucher bill edge cutting method are improved.

The embodiment of the invention provides an optimization method and device for a paid search scheme. The optimization method includes the first step of determining problems to be adjusted exist in a search engine platform based on an account structure to provide a search service, the second step of selecting an adjusting scheme for the problems to be adjusted, wherein the adjusting scheme comprises a set number of adjusting parameters, the third step of adjusting parameters in the account structure according to the adjusting parameters in the adjusting scheme, and receiving observation return data generated by the search engine platform based on the account structure to provide the search service within a set observation period, and the fourth step of carrying out adjusting scheme selection operation and parameter adjusting operation at least once, and determining a final adjusting scheme aiming at the problems to be adjusted according to the observation return data returned each time. The optimization method can be carried out automatically through the device and is optimized continuously, confusion of the relation between a promoting effect and the adjusting scheme is reduced as far as possible, and interference of man-made operation is also reduced. Therefore, the optimization efficiency and accuracy of the paid search scheme are improved.

The invention relates to an artificial propagation method for parasitic wasps of bactrocera tau larvae. The method comprises the steps of collection of bactrocera tau and adult parasitic wasps of bactrocera tau larvae, feeding and domestication of the parasitic wasps of the bactrocera tau larvae, feeding of the adult bactrocera tau, expanding propagation and spawning domestication of bactrocera tau, egg collection of the bactrocera tau, expanding propagation of the bactrocera tau larvae, parasitism of the parasitic wasps of the bactrocera tau larvae on the bactrocera tau larvae, larva feedingand pupation after parasitism, parasitic pupae collection and parasitic wasp eclosion separation, and rejuvenation of the bactrocera tau and larva parasitic wasps. By adopting the method disclosed bythe invention, the growth and development of the bactrocera tau and the parasitic wasps are not influenced by residual pesticides, and the host searching capability of the parasitic wasps in the fieldis kept stable; after being collected, the bactrocera tau pupae where the parasitic wasps are parasitic do not need freezing treatment, damage to the bactrocera tau pupae where the parasitic wasps are parasitic is little, the separation effect of the bactrocera tau and the parasitic wasps is good, and the method has the advantages of being easy to operate, capable of saving time, little in humaninterference, high in parasitic rate, easy to breed on a large scale and particularly suitable for application and popularization.