54results about How to "Less reliance on experience" patented technology

The invention provides a real-time data collecting and fault positioning system of a power distribution network and a working method thereof. The real-time data collecting and fault positioning system comprises transformer substation voltage collecting units, a plurality of line units, a real-time data server, a background monitoring computer and a handheld terminal, wherein each transformer substation is provided with one transformer substation voltage collecting unit; each transformer substation voltage collecting unit comprises one intelligent voltage detection terminal; each line unit comprises three fault positioning and data collecting sensors and one communication and calculation terminal; the intelligent voltage detection terminal, the communication and calculation terminal and the handheld terminal are in wireless communication with the real-time data server; the three fault positioning and data collecting sensors of the same line unit are in short-distance wireless communication with the communication and calculation terminal. The working method mainly comprises the step of carrying out real-time data collection and fault judgment. The information precision of power transmission line data which is collected in real time is high, short circuit and grounding faults are rapidly and accurately judged, the time of powering off and overhauling is shortened, the quantity of fault line patrolling workers is reduced and manpower and material resources are saved.

A spine image generating system based on an ultrasonic rubbing technology comprises a collecting unit and a processing unit. Ultrasonic rubbings are generated by the system based on ultrasonic imageswith two-dimensional spine surface structure characteristic outlines, and matched with a digital medical image outline, and thus a personalized spine surface topographic map which is consistent with an intraoperative position of a patient and updated in real time is obtained. A spine surgical navigation positioning system based on the spine image generating system comprises a navigation module andthe spine image generating system based on the ultrasonic rubbing technology. The spine surgical navigation positioning system can obtain the spine surface topographic map which is consistent with the intraoperative position of the patient and updated in real time, and can conduct real-time intraoperative navigation based on the spine surface topographic map. The spine image generating system based on the ultrasonic rubbing technology and the spine surgical navigation positioning system can greatly reduce the difficulty of a spinal operation, can achieve the operation auxiliary purposes of precise and nonradiative guided puncture, real-time navigation and being simple, convenient and reliable, and are particularly beneficial for application and popularization of a spinal minimally invasive surgery technology which is represented by a spine endoscopy to primary health care institutions.

The present invention discloses a method which can analyze welding quality of aluminium alloy through an X-ray negative. The steps of processing and analysis to the X-ray negative in the present invention are that: firstly, a digital scan is processed to the X-ray negative via a scanner, and the scanned digital images are transferred to a computer. Secondly, the scanned digital images are managed via a computer. Thirdly, a pretreatment is carried out to the digital images. Fourthly, the welding seam extraction, the defect edge extraction and the characteristic parameter extraction are carried out via computer software. Fifthly, the welding defect is classified and assessed, and a final assessing result is generated. Sixthly, a report is generated and printed. The present invention is simple, fast, time saving and manpower saving. The welding quality of aluminium alloy can be analyzed objectively and accurately. The dependence on the operator and the interference of man-made factors are reduced. The automatic assessment of the defect of the X-ray negative and the automatic comprehensive assessment of the welding quality are realized.

The invention discloses a power grid fault intelligent processing system based on a knowledge graph. A fault processing plan analysis module of the system is used for obtaining a fault processing entity and relation knowledge; the graph generation module is used for storing the identified entities and entity relationships in a triple form to obtain an equipment entity knowledge graph, an accident plan knowledge graph and a disposal flow knowledge graph; the fault sensing module is used for intelligently sensing and collecting information related to power grid faults in a power grid system; the fault risk assessment module is used for carrying out risk identification; and the fault intelligent processing module is used for reasoning a processing measure suitable for the current fault based on the accident plan knowledge graph and the processing flow knowledge graph in combination with the topological change, the power flow and the alternating current power supply frequency before and after the power grid fault after the power grid has the line fault. According to the invention, comprehensive intelligent alarm information can be sensed in all directions, and scheduling personnel are guided to carry out intelligent disposal on power grid risks and power supply restoration based on the established knowledge graph.

The invention relates to a method for showing fingerprints through silanization nanometer magnetic beads. Traditional magnetic powder is replaced by silanization nanometer magnetic powder, the fingerprints are shown through a magnetic powder brush development method, then cast-off cells of the fingerprints can still be used for DNA extraction after fingerprint showing, the whole process is sensitively, conveniently and quickly carried out, the fingerprints can be clearly shown, and genomic DNAs extracted after fingerprint showing are high in purity and stable and reliable in quality. The method can be applied to conventional fingerprint showing in reconnoitering and case solving and can also be applied to cases which can not be recognized by people because of the common phenomena that fingerprints are incomplete, not neat and obscure and characteristics of the fingerprints can not be shown clearly in reconnoitering and case solving.

The application of the invention discloses a bilateral jaw defect reconstruction pre-operation design method and device based on a database having a three-dimensional configuration. The method and the device are based on the preset database, a healthy head which is mostly accepted by a head to be repaired is selected from the preset database to be used as reference, a bilateral extensively-defected jaw part is reconstructed, and the bilateral extensively-defected jaw lacking uninjured side contrast can also be reconstructed to have appropriate jaw shape and prosthesis shape.

The embodiment of the invention provides a multi-branch power transmission line fault positioning method, device, equipment and system. The method comprises the steps: obtaining the operation state information of a power transmission line, wherein the operation state information comprises abrupt change current and abrupt change time; when the abrupt change current exceeds a first threshold value and the abrupt change time exceeds a second threshold value, obtaining a fault type of the power transmission line; performing fault positioning and dotting in a line topological graph according to the geographic information system to generate fault nodes; and acquiring position information of a fault node, and sending the position information and the fault information to a user terminal. According to the invention, the fault location dotting is carried out in the line topological graph by using the geographic information system, and the overall comprehensive research and judgment is carried out on the fault position of a multi-branch power transmission line, so that the problems of inaccurate line fault location and false alarm are solved, and the situations of false alarm and confusion caused by on-site fault judgment are avoided.

The embodiment of the invention provides a business auditing method and device based on machine learning, and relates to the financial technology field. The method comprises the following steps of training a random forest model by adopting the historical business audit data; enabling the random forest model to learn the auditing behavior of an auditor; then inputting the feature vector of a business applicant into each decision tree in the random forest model; and obtaining a classification result outputted by each decision tree in the random forest model, and then determining an audit result of the business request according to the classification result outputted by each decision tree in the random forest model and the weight corresponding to each decision tree in the random forest model. Compared with an expert model, the random forest model is obtained on the basis of the historical business audit data training besides the experiences of the professional audit personnel, so that the dependence on the human experience is small, the influence of the subjective factors is reduced, and the generalization ability and the universality of the audit model are improved.

The invention discloses a manual puncture device and system for robot-assisted puncture operation, and belongs to the field of minimally invasive surgery medical robots. The problems that existing percutaneous puncture operation depends on experience of doctors, and the puncture needle positioning precision is poor are solved. The manual puncture device comprises a shell, a capacitive grating sensor, a puncture needle adjusting mechanism, guide wheels and a fiber grating sensor. When the device is used, a hand wheel of the puncture needle adjusting mechanism is pushed to move in the length direction of a through hole in the side wall of the shell, so that the feeding depth of a puncture needle fixed to a body is controlled; and the hand wheel of the puncture needle adjusting mechanism is screwed to rotate, so that the angle of the puncture needle fixed on the body is controlled. The manual puncture device and system are mainly applied to puncture operations.

The invention relates to an automatic control method for hazardous waste incineration. The automatic control method comprises the following steps: effectively combining and applying a BP neural network algorithm and a distribution type control system to a hazardous waste incineration system, establishing a hazardous waste incineration system database by utilizing a hazardous waste incineration process equipment data information module, an equipment operation working condition parameter data information module, primary and auxiliary charging data information modules and a smoke gas emission data information module, establishing, training and operating a system function module by utilizing the system database, a BP neutral network tool and a process target value, and feeding control requirements to DCS and a filed performing mechanism. The automatic control method realizes automatic predication, judgment, regulation, control and deviation rectification on an incineration system production line.

The invention relates to a method for the quality soft sensing of a fermentation pharmaceutical product based on GP study modeling, which comprises the following steps: 1) acquiring a historical data set L of a fermentation pharmaceutical process, wherein the data set L consists of not more than 200 data samples {x , y} at acquiring moments, wherein x is a generalized input vector for a model, and y is a quality vector of a fitting forecast; 2) making use of a GP learning algorithm to establish a model f<*> of key quality indexes of the fitting model; and 3 ) acquiring a process variable x<*> on line, and substituting the process variable x<*> into the product quality model f<*> so as to obtain a real-time forecast product quality index. The invention provides the method for the quality soft sensing of the fermentation pharmaceutical product based on the GP study modeling, which has very high modeling precision and high measurement accuracy.

The invention belongs to the technical field of avionics, and particularly relates to a flight simulation maneuvering control optimization method based on a genetic algorithm. Various flight maneuver(180-degree turning, S-breaking maneuver and flight climbing) control parameters in flight simulation can be optimized, a more optimized parameter combination is searched in a multi-dimensional parameter space, the flight maneuver time is shortened, and the execution efficiency and the execution quality of maneuver actions are improved. The flight quality of maneuvering actions executed by the aircraft can be enhanced, the experience dependence on pilots is reduced, the operation level of the pilots for confrontation training is improved, and the flight training efficiency is improved.

The invention discloses an intelligent pressure controlling method of an urban gas pipeline gasification operation based on Beidou positioning. The method comprises the following steps: 1, determining a position of a gas pipeline leakage point by utilizing a Beidou positioning system and a gas pipeline network database, and using the gas pipeline leakage point as a gasification operation point; 2, initially adjusting the flow and the pressure of a flow control point positioned at the upstream of the gasification operation point according to data feedback of the gasification operation point; 3, renewedly adjusting the flow and the pressure of the flow control point positioned at the upstream of the gasification operation point according to point pressure data, peripheral gas pipeline network data and gasification operation historical data acquired by detecting the downstream of the gasification operation point. According to the intelligent pressure controlling method disclosed by the invention, by intelligently adjusting the pressure in the pipeline, the aim of manual operation can be reduced, the difficult of low precision of pressure intensity control of the conventional gas pipeline gasification operation and poor security of the gasification operation can be solved, and first-aid repair targets of security, high efficiency, reasonability and completion are realized.

The invention provides an oral implantation system, an oral implantation method and a computer readable storage medium. The system comprises positioning equipment, a processor and display equipment, wherein the positioning equipment comprises a marking part and a recognizing part, the marking part is used for marking the implanting position, and the recognizing part is arranged on an operation apparatus and used for marking the current position of the operation apparatus; the processor is connected to the positioning equipment and used for feeding a work signal back according to the current position and a target implanting position; and the display equipment is connected to the processor and used for displaying the current position, the target implanting position and the work signal. By means of the oral implantation system, a doctor can see the position of the operation apparatus visually through the display equipment and adjust the operation apparatus according to the actual condition, so that real-time positioning and visual operation of the operation apparatus are achieved, dependence of dental implantation on experience of the doctor is reduced, an operation guide plate in theprior art is cancelled, the dental implantation cost is lowered, and the problem of insufficient operation flexibility is solved.

The invention discloses a method for measuring and identifying a geometric error source of a machine tool through workpiece error variation. The method comprises the following steps: carrying out finite element analysis considering force and thermal load on a precision machine tool with any series structure, extracting guide rail deformation data, performing calculating according to the guide raildeformation data to obtain a machine tool motion axis error, and performing calculating through deviation accumulation to obtain a tool nose point position error; Obtaining an actual machining path according to the tool nose point position error obtained in the previous step, and evaluating the precision of the machined part; Orthogonal test design is conducted, the two steps are repeated, the force and thermal load boundary conditions of the finite element model of the machine tool are changed, and multiple sets of guide rail deformation data and corresponding machining precision are obtained; On the basis of the last step, the mapping relation between the error change of the machined part and the geometric error source of the machine tool is obtained, the geometric error source of the machine tool is force and thermal load, and then the geometric error source of the machine tool is identified through the error change measurement of the machined part. The machining precision of the machine tool is improved, and an engineer is effectively helped to carry out error tracing.

The invention relates to a vehicle urea solution production system and an automatic control method. The system comprises a raw water preprocessing subsystem, which is used to preprocess raw water to remove impurities in raw water; and a pure water preparation subsystem, which is used to remove ions in the preprocessed raw water; wherein the raw water preprocessing subsystem and the pure water preparation subsystem are both provided with at least one closed-loop control point, which is used to collect the realtime sensor data during the production process of subsystems and control the valves during the production process of subsystems. The vehicle urea solution production system also comprises a monitoring control subsystem, which is connected to each closed-loop control point through communication lines and is used to monitor the realtime sensor data of each closed-loop control point and send control command to the closed-loop control points according to a closed-loop control algorithm. The provided system and method can automatically control the production process of urea solution and automatically handle the abnormal situations, and thus the human cost is reduced.

The invention relates to a production process method of ground sesame seed oil by a water extraction method, which comprises the following steps: obtaining crude oil in a stirring oil outlet and vacuum oil outlet manner, carrying out hot filtration on the crude oil to obtain hot filtration oil, cooling, standing, crystallizing and centrifuging the hot filtration oil, and carrying out cold filtration to obtain clarified finished product oil. The production process method breaks through a traditional vibration oil outlet or hammering oil outlet process method, the whole process is completed under the closed condition, the sesame oil quality and the oil outlet rate are guaranteed, the sesame oil is clean and sanitary, the modern food production process requirements are met, the productivity is greatly improved, the production time is shortened, and the production efficiency is improved; and the effects of mechanization, automation, reduction of the labor intensity of workers and reduction of the production cost are remarkable, and the industrial application prospect is wide.

The invention relates to the technical field of automobile test devices, and discloses an automobile air brake system adhesion coefficient utilization rate test device and method. The test device comprises an air inlet selection valve, a pipeline cut-off valve, an electromagnetic switch valve, an electric pressure regulating valve, a first pressure release valve, a second pressure release valve and an air outlet selection valve, wherein the air inlet selection valve is provided with a first air inlet, a second air inlet and a first air outlet; the first air inlet can be used for being connected with an original automobile pipeline of an automobile brake system, and the second air inlet can be used for being connected with an air tank; the pipeline cut-off valve is provided with a third airinlet, a second air outlet and a third air outlet; the third air inlet is communicated with the first air outlet;theair outlet selection valve is provided with a fourth air inlet, a fifth air inlet and a fourth air outlet; the fourth air inlet is communicated with the first pressure release valve; the fifth air inlet is communicated with the second pressure release valve; and the fourth air outlet can be used for being connected with an air chamber. The device has the advantages that the test device is simple, multiple in functions and high in test efficiency; the electric pressure regulatingvalve can be manually and electrically regulated, and is convenient to regulate and high in regulating precision.

The invention discloses a low-pressure turbine blade profile aerodynamic design method based on optimization of an optimal load distribution model, and the method comprises the steps: generating a blade profile geometric sample according to a given blade profile parameter value range and low-dimensional aerodynamic design parameters, calculating the optimal load distribution through CFD when the total pressure loss of the blade profile is minimum, and generating a blade profile database; constructing an optimal load distribution model based on a multi-output Gaussian process and a deep neural network, and training the optimal load distribution model by minimizing a marginal likelihood loss function according to the training samples in the blade profile database to obtain a hyper-parameter group in the optimal load distribution model; and according to the trained optimal load distribution model, target optimal load distribution of the target low-dimensional aerodynamic design parameters is calculated, and an optimal aerodynamic blade profile corresponding to the target optimal load distribution is calculated by using a blade profile inverse design model. According to the design method, the precision and efficiency of pneumatic design of the turbine blade profile can be improved, and the geometric design period of the turbine blade profile can be shortened.

The invention relates to a closed-loop expectoration method for automatically titrating expectoration pressure. The method comprises the following steps: S1, setting a reference value C2 of negative pressure phase flow-volume ring area namely F-V ring area of a user; S2, using an actual value R2 of the negative pressure phase F-V ring area of the computer user; and S3, comparing the reference value C2 of the negative pressure phase F-V ring area with the actual value R2 of the negative pressure phase flow-volume ring area to adjust negative phase pressure E-P and / or positive phase pressure I-P. The invention also provides a closed-loop expectoration system for automatically titrating expectoration pressure. The system comprises a reference value setting module, a real value calculation module, a comparison module and an adjustment module, wherein the reference value setting module sets the reference value C2 of the negative pressure phase flow-volume ring area namely the F-V ring area,the real value calculation module monitors and calculates the actual value R2 of the negative pressure phase F-V ring area, the comparison module compares the reference value C2 with the actual valueR2, and the adjustment module adjusts the negative phase pressure E-P and the positive phase pressure I-P based on the consequence from the comparison module. The expectoration method and system guarantee safer and effective expectoration.

The invention discloses automatic assembling equipment for electric connector production and processing, and the equipment comprises a base with one side provided with an rightward-turned-L-shaped step, a flat rectangular cavity is formed in the vertical side wall of the step in a sunken mode, the height direction of the flat rectangular cavity is the vertical direction, the flat rectangular cavity upwards penetrates through the top face of the base in the height direction, and a second spring plays a role in supporting a movable frame; a blind cavity is formed in the movable frame, the top end of the blind cavity is open, a U-shaped notch is formed in the side wall, facing the outer check block, of the blind cavity, a third spring is vertically installed in the blind cavity, an extrusion rod is further vertically fixed to the side, facing the outer check block, of the movable frame, and a roller is installed at the bottom end of the extrusion rod; a stamping block is installed at the bottom end of the vertical section of the stamping rod and comprises a main block and a sub-block, and the main block and the sub-block are elastically and telescopically connected in the horizontal direction and are located on the same horizontal line all the time. The equipment is simple and practical in structure, and production and assembly of the electric connector can be rapidly and conveniently achieved.

The invention discloses an intelligent alarm method and system based on spare power automatic switching analysis of a power system. The method comprises the steps: determining preset action logic of spare power automatic switching under each fault event according to collected electrical quantity information and a predetermined spare power automatic switching model; according to the collected monitoring information and the predetermined spare power automatic switching model, judging a current action state of spare power automatic switching under each fault event; and obtaining final spare powerautomatic switching action information corresponding to each fault event by integrating the preset action logic of the spare power automatic switching and the current action state obtained by judgment. The method can be used to determine whether the spare power automatic switching is the spare power automatic switching maloperation caused by people or equipment damage or a correct action caused by an actual fault of a main power supply fault, does not need operation and maintenance personnel to go to a substation end for confirmation, can reduce dependence on the experience of the field personnel through judgment, and can greatly shorten the mode recovery time.

The invention provides an intelligent daylight withering room. The intelligent daylight withering room comprises an information collecting module which collects the air temperature and humidity and the illumination intensity of the withering room, the weight change of a sample on a sample table and indoor environment data, an information processing and control module which processes the collected data and manages a load module according to the processed data, the load module which controls the air temperature and humidity and the illumination intensity in the withering room, a network transmission module which transmits the data in the withering room to an application module, and the application module which monitors and controls the air temperature and humidity and the illumination intensity in the withering room and the tea dehydration rate through the information processing module. The ability to remotely monitor the production process of the withering room is improved. The production recording ability of the whole production process is provided for customers. Through automatic collection and control, the efficiency of per capita management is improved. The labor cost is saved. Dependence on the experience of an operator is reduced. The automation and standardization of the production process are improved. A suitable tea processing environment is created. The processing efficiency is improved.

The invention discloses an internal maxillary sinus lifting device which comprises a positioning guide plate, a lifting rod and an annular sleeve block gauge, wherein guide holes corresponding to planting pits are formed in the positioning guide plate; threaded sleeves are fixed inside the guide holes; the outer walls of the threaded sleeves are adapted to the guide holes; internal threads are formed in the inner walls of the threaded sleeves; the lifting rod consists of a forced part, a baffle ring and a working part; the forced part is portioned from the working part by the baffle ring; the working part comprises a threaded section, a head part and a connecting section; the threaded section is meshed with the internal threads inside the threaded sleeves; internal threads are formed inside the annular sleeve block gauge. In the operation process, the top surfaces of the guide holes are taken as positioning reference surfaces, the length of the working part of the lifting rod is greater than the distance from the top surfaces of the guide holes to the bottoms of the planting pits, the internal lifting height of the lifting rod is as shown in the formula. An internal maxillary sinus lifting system consists of the internal maxillary sinus lifting device and a hole formation tool, wherein the hole formation tool comprises a drill bit and a pressing plate. The internal maxillary sinus lifting device has the advantages that the lifting precision is high and the internal lifting device fixation can be achieved without damaging the planting pits.

The invention discloses a spacecraft multi-star sensor layout optimization method, which comprises the following steps of: constructing a multi-target optimization model with the maximum availability rate of double star sensors and an approximately orthogonal included angle between the star sensors, solving by utilizing a multi-target genetic algorithm, obtaining the optimal direction of each star sensor, and determining the optimal layout of the multi-star sensors. According to the method, the dependence on the experience of a designer is reduced, the defect that manual iteration is needed in a traditional method is overcome, and the design efficiency of the star sensor layout is improved.

The invention provides an interactive trapping method and system, and the method comprises the steps: analyzing a draft, and obtaining all color blocks in the draft and the boundary of each color block; capturing a mouse dragging operation of a user, and identifying a target color block boundary and a trapping direction from the mouse dragging operation; finding out a color block boundary adjacent to the target color block boundary, judging whether the adjacent color block boundary completes trapping or not, and if yes, merging the target color block boundary and the adjacent color block boundary to uniformly regenerate a trapping area; trapping of boundaries of all color blocks needing to be processed in the draft is traversed. Compared with a traditional trapping scheme, the interactive trapping scheme provided by the invention is easier to use, the connection between trapping areas is very good, and meanwhile, the efficiency is very high.

The invention relates to the technical field of life raft quality inspection, in particular to an inflatable life raft maintenance quality monitoring method and system. The inflatable life raft maintenance quality monitoring method comprises the steps: 1, issuing data; step 2, importing data; 3, issuing an overhaul task; 4, photographing and monitoring before unpacking; 5, synchronizing the data;6, confirming an overhaul test project; 7, getting a test task; 8, photographing and monitoring key links; 9, inputting a maintenance test result; 10, writing data; 11, auditing test data; 12, photographing and monitoring after packaging; and 13, issuing an overhaul certificate. The life raft maintenance quality monitoring method provided by the invention can realize matching verification of industry maintainers and maintenance qualification certificates, fixed-point standard photographing and monitoring of key maintenance links of a maintenance site, service linkage, real-time sharing of maintenance data and photos and effective tracing.

The invention discloses a robot automatic barbecue system. The system comprises a skewer grabbing robot, an upper skewer line, a lower skewer line, a baking line and an ordering module. Controllers contained in the skewer grabbing robot, the upper skewer line, the lower skewer line and the baking line are all in communication connection with the ordering module. The robot automatic barbecue systemprovided by the invention is simple and reasonable in structure, changes the current situation of traditional diet industry of barbecue, integrates the internet concept and the automatic control concept into the traditional diet industry of barbecue, and brings benefits to the life and body health of people. Through automatic control, the quality consistency of each barbecue is ensured, the barbecue efficiency is improved, and the dependence on experience of barbecue operators is reduced.

The invention discloses a portable intelligent multi-probe TCM pulse diagnosis instrument, which includes a frame assembly, a probe assembly and an information collection system, wherein the frame assembly includes a pulse pillow part and a frame part, and the probe assembly and the frame part The three-degree-of-freedom movement of the probe assembly in the plane perpendicular to the arm is realized by a kinematic mechanism. The arm is placed on the pulse-occipital part, and the placement position and angle can be adjusted. Through the image acquisition module and image analysis and positioning module in the information acquisition system, the acquisition and positioning of the arm position and posture are realized. The pulse diagnosis instrument can automatically find the pulse position, automatically apply pressure and automatically collect the pulse signal according to the method of "five belts, six areas and seven floors". Reproducible, portable and flexible; it can be used for early warning and diagnosis of clinical diseases, effectively solving the problems of low acquisition accuracy, incomplete acquisition signals, and bulky body of similar instruments.