57results about How to "Accurate analysis and judgment" patented technology

The invention relates to a joint detection method aiming to GIS (geographic information system) partial releasing defect identification and location and combines partial releasing detection technology and X-ray digital imaging technology to perform defect identification and location of GIS. The two detection methods are made the best of each other, are capable of timely and correctly detecting and insulating fault, effectively increasing GIS detection efficiency and detection accuracy and are capable of reasonably making maintenance strategies. All digital signal processing technologies are comprehensively utilized to process collected partial released signals and X-ray image signals respectively, and defects can be timely and rapidly identified and located without dismounting equipment.

The invention discloses a separation tower resin interface intelligent monitoring system and a high-tower method resin analysis method. The system comprises a separation tower, an upper window, a middle window, a lower window, an anion resin exit door, a cation resin exit door, an upper window camera, a middle window camera, a lower window camera, an optical fiber cable, an industrial switch, a monitoring computer, a human-computer interface, a bus converter, a signal converter, a PLC/DCS controller, an electrical switching controller and a resin analysis algorithm program. According to the separation tower resin interface intelligent monitoring system and the high-tower method resin analysis method, an intelligent visual technology is adopted, accurate control over output of anion resin and cation resin in the resin separation tower in a condensate polishing treatment regeneration system of an nuclear power conventional island and a thermal power generating unit water island is achieved by means of a computer image identification algorithm, and correct quantitative analysis is conducted on loss, generated in the running and transfer conveying processes, of the cation and resin and the anion resin and needed supplement dosage.

The invention discloses a durability testing method for an automobile automatic transmission. The method includes the following steps: when a vehicle is controlled to test an automatic transmission according to preset test procedures, obtaining related attribute parameters of the vehicle, wherein the preset test procedures include a plurality of continuous unit test steps, and the related attribute parameters include at least engine speed, engine torque, vehicle speed, four-wheel speed, throttle opening, longitudinal acceleration, transverse acceleration, main oil pressure and gearbox oil temperature; controlling the vehicle to repeatedly carry out tests according to preset frequencies and in accordance with the preset test procedures, and judging whether the obtained related attribute parameters are within respective corresponding preset ranges after the tests with the preset frequencies are finished; and if the obtained related attribute parameters are within respective correspondingpreset ranges, determining that the automatic transmission meets durability criteria. According to the durability testing method provided by the invention, the performance of the automatic transmission can be analyzed and judged more accurately and the reliability of a test result can be improved.

The invention discloses a method of and analyzing the eye moving test, which comprises the procedures as follows: selecting test items and method to generate the task list; confirming LED vision stimulating mode and indicating position; vision sampling; analyzing the vision image in real time and outputting original data; judging whether the task sequence is finished, if not yet, returning to position again, while, if finished, stopping the vision sampling; reprocessing and analyzing as well as expressing the data in image shape to form an individual report forms, then stopping the test. The invention can test and analyze automatically the moving of eyeball and output and analyze the original data and the report form in image shape and then provide it to medical staffs for them to analyze and judge the disease on eye. The invention test for the moving of the eye controlled by the micro-processing system automatically, which reduces the working labor for medical staffs.

The embodiment of the invention discloses a distribution transformer winding material detection method.The method comprises the steps of objective function determination, optimal solution acquisition and quantitative investigation, wherein in the step of objective function determination, transformer design parameters and external characteristic parameters are considered; in the step of optimal solution acquisition, a correlation function of the external characteristic of the detected transformer serves as an optimization objective, completely same constraint conditions and fitness functions are adopted, the winding material adopts copper wires and aluminum wires for design respectively, transformer design is optimized by applying a genetic algorithm, and an optimal solution WCu and an optimal solution WAl of a W-Cu initial population and a W-Al initial population are solved respectively; in the step of quantitative investigation, quantitative representation is conducted through the distance from an actual measurement point Wm of the detected transformer to the consideration weight coefficient of the optimal solution WCu and the optimal solution WAl, the probability value of the detected transformer belonging to a copper winding transformer or an aluminum winding transformer is obtained, and convenient, rapid and accurate analytical judgment on the detected transformer winding material is achieved.

The invention discloses a physique testing system. The physique testing system includes a host computer, testing equipment and a management platform, and the host computer, the testing equipment and the management platform cooperate mutually to complete physique testing. The physique testing working method includes the steps of a preparation stage I before physical testing, an on-site physical testing stage II and a data statistical processing stage III after physical testing. According to the physique testing system and working method thereof, whether the action is standardized or not and whether a test is conducted by oneself during the test can be identified to judge whether a tester cheats or not, the test sequence and time interval between different test items can be automatically controlled to enable the tester to achieve a better test state, and the management and statistics of test data are strengthened to facilitate the physical examination of an individual or the whole entry through standard quantification, so that more efficient, scientific, reasonable and accurate physical examination and evaluation of physical examination results are convenient.

The invention discloses a diagnosis method and diagnosis system for the partial discharge defect type of power equipment. The diagnosis method includes the steps of extracting partial discharge data corresponding to various partial discharge defects of the power equipment from historical data; processing the partial discharge data to obtain a partial discharge atlas corresponding to the partial discharge defects of the power equipment; adopting the partial discharge atlas and partial discharge defect type label of the power equipment to train a deep convolutional neural network to obtain a partial discharge diagnosis model, wherein input data of the partial discharge diagnosis model serves as the partial discharge atlas of the power equipment, output data serves as a partial discharge diagnosis result of the power equipment, and the partial discharge diagnosis result includes whether or not partial discharge and the partial discharge defect type exist; collecting the partial dischargeatlas of the to-be-diagnosed power equipment to be input to the partial discharge diagnosis model to obtain the partial discharge diagnosis result. By means of the diagnosis method, automatic diagnosis of the discharge type is achieved, and the reliability of the diagnosis result is improved by using the neural network.

An antenna tower structure virtual assembly method based on scene visualization comprise the steps of 1 drawing a theoretical three-dimensional model of an antenna tower structure assembled in place according to the design drawing requirement of the antenna tower structure, identifying the theoretical position of an effective load support installing holes on a structure plate; 2 performing entity assembly on the antenna tower structure; 3 using a laser tracker or a laser radar to measure the actual position of an embedded aluminum block on the structural plate after entity assembly; 4 drawing the position of an actual embedded aluminum block on the theoretical three-dimensional model drawn in step 1 according to a measurement result in step 3; 5 calculating the minimum distance between the edge of a drill bit and the edge of the actual embedded aluminum block when an installing hole is machined in the embedded aluminum block according to the theoretical position of the drill bit, judging whether the minimum distance meets the actual drilling and installation requirement or not, completing the assembly of the antenna tower structure if the minimum distance meets the actual drilling and installation requirement, and adjusting the entity assembly position in step 2 and re-performing steps 3-5 if the minimum distance does not meet the actual drilling and installation requirement.

The invention discloses a system of online vision detection. The system is used for separating good products of core columns on a tension silk machine from poor products, and comprises a human-machine operation interface, a position sensor, an image capturing and detecting device, a main controlling device and a poor product collecting device. The human-machine operation interface is connected with the main controlling device. The image capturing and detecting device is connected with the main controlling device for capturing, analyzing and processing images so as to acquire detecting results. The main controlling device is connected with the position sensor and the poor product collecting device for sending detecting commands according to triggering signals of the position sensor so as to control the actions of the poor product collecting device according to the detecting results. By the aid of the poor product collecting device, the poor products of the core columns are thrown out of a production line, so that separation of good products and poor products is realized. Manual selection is omitted on the production line of tension silk during the whole procedure, full-automatic real-time detection is realized; and real-time performance of poor product detection is improved while undetected rate and detection error on the poor products of the core columns of the tension silk machine are considerably reduced.

The invention relates to a reaction vessel endoscope monitoring device. The monitoring device comprises: a long cylindrical endoscope; a controlling handle connected to the rear part of the endoscope; and components of a controller, a monitor and a computer which are orderly connected to the controlling handle according to the lead sequence. A light source and a camera are arranged on the front of the endoscope. A bottom-sealed quartz glass cover is anastomosed outside the endoscope. The quartz glass cover is fixed on the reaction vessel with sealed insertion, through a preformed hole on the side wall of the reaction vessel. The quartz glass cover can be inserted into the reaction vessel, and can form a sealed connection with the reaction vessel. With the reaction vessel endoscope monitoring device, status variations of processes such as hydrolysis, neutralization, polymerization and condensation inside the reaction vessel can be monitored in real-time, and instant chemical change statuses can be recorded with video images, such that rapid and accurate analysis and determination of product qualities can be realized. The monitoring device plays a crucial role in the improvement of the product degrees, and in the optimization of the products.

The invention discloses an inaction stock analysis method and system, and the method and system are characterized in that the analysis process comprises the steps: (1) setting an inaction stock judgment standard; (2) carrying out the initialized collection of stock information through combining with stock information and historical material vouchers, and obtaining an inaction stock collected information and historical warehouse-out table; (3) recording appearing material vouchers, judging the vouchers, and selecting the warehouse-out information to form an increment warehouse-out table; (4) triggering inaction stock / material analysis; (5) carrying out the judgment of the stock information through combining with a judgment standard and an ERP, and feeding back the results; (6) regularly carrying out background operation. The system comprises a collection module, an analysis judgment module, a storage module, and a query module. The method can achieve the quick positioning and accurate analysis of the inaction stock / material information. The system can achieve timely prompt when a user carries out the storage and purchasing of inaction stock materials, and can quickly inquire the current inaction stock condition of the user.

The invention relates to a defective point detection system for a vertical cavity surface emitting laser (VCSEL) array. The system comprises a lens device, an image collection device, and an analysis and determination device. The lens device is used for increasing an imaging distance of a VCSEL array. The image collection device is used for collecting an image of the VCSEL array. And the analysis and determination device is used for analyzing and determining information of the VCSEL array image collected by the image collection device and determining whether a defective point exists in the VCSEL array. In addition, the invention also provides a defective point detection method for a VCSEL array. The method comprises: (A), a lens device is provided and is arranged in front of a light-emitting unit of a VCSEL array, so that an imaging distance of the VCSEL array increases; (B), an image collection device is provided and an image of the VCSEL array through the lens device is collected; and (C), an analysis and determination device is provided, and thus information of the VCSEL array image collected by the image collection device is analyzed and whether a defective point exists in the VCSEL array is determined.

The invention discloses an automatic ringing signal test system, method and device. The system comprises a control terminal, a test device and a tested device; the test device comprises a control module and FXO interfaces, and chips of the FXO interfaces are capable of measuring the voltage; the tested device comprises FXS interfaces which are connected with the FXO interfaces in one to one correspondence; the control terminal controls the calling FXO interface to call the called FXO interface via the control module; when the FXS interface corresponding to the called FXO emits a ringing signal, the control module reads the voltage measuring value of the called FXO interface, generates corresponding sampling data, and sends the sampling data to the control terminal; and the control terminal also analyzes the received sampling data and determines whether the sampling data is qualified. According to the invention, the ringing signals are automatically sampled and analyzed to determine whether the ringing signals are normal, and determining is accurate and efficient.

The invention discloses an anti-cheating method for physical examination. The anti-cheating method comprises the steps of authenticating the identity when an account number is logged in to judge whether a correct testee is tested; judging whether physical examination personnel repeat a test twice; judging whether actions of the physical examination personnel are standardized in the course of testing to prevent cheating; comparing physical examination data at this time of the physical examination personnel with historical physical examination data after finishing the test to analyze and determine the abnormal level to judge whether the correct testee is tested. According to the anti-cheating method, the problem that manual means need to be used for judging whether testees have cheating behaviors or not is solved, whether the actions are standardized can be automatically identified during the test and whether the correct testees are tested is judged, and more efficient and accurate physical examination and supervision can be carried out.

The invention discloses a physical examination method. The physical examination method comprises the steps that identity authentication is performed when landing an account to determine whether the test is self-testing or not; whether the current time namely the physical testing time of current test items satisfies the test sequence and time interval between the different test items or not is judged; whether a physical examiner repeats a test twice or not is judged; in the process of testing, whether the action of the physical examiner is standardized or not is judged to prevent cheating; and after the test is completed, physical examination data of the physical examiner at this time are compared and analyzed with historical physical examination data, and the abnormal grade is determined to judge whether the test is self-testing or not. According to the physical examination method, whether the action is standardized or not and whether the test is self-testing or not can be identified during the test to judge whether the physical examiner cheats or not, the test sequence and time interval between the different test items can be automatically controlled, thus the physical examiner can achieve a better test state, and more efficient, scientific, reasonable and accurate physical testing and physical testing supervision are advantageously conducted.

The utility model relates to the technical field of camera lenses, and especially relates to an unmanned aerial vehicle camera lens of small distortion of a big target surface. The unmanned aerial vehicle camera lens of the small distortion of the big target surface comprises a lens cone, wherein the front side of the the lens cone is opposite to a test chart card, and the rear side of the lens cone is opposite to a shooting die set; a hollow chamber is formed in the lens cone; a first lens element, a second lens element, a third lens element, a fourth lens element, a fifth lens element, a sixth lens element, a seventh lens element, an eighth lens element, a ninth lens element, and a tenth lens element are sequentially arranged in the hollow chamber from front side to the rear side along an optical axis; and the rear side of the lens cone is also provided with a locking ring used for locking the tenth lens in the hollow chamber. The unmanned aerial vehicle camera lens of the small distortion of big target surface is of an 8G2P (8 pieces of glass lens + 2 pieces of plastic lens) glass-plastic mixed structure; the resolution ratio is high; the imaging effect of 2000 ten thousand pixels is reached; and the shot picture is clear, thereby facilitating accurate analysis and judgment of an image in later stage.

The invention discloses a special shooting tool for power distribution ultrahigh frequency detection, which comprises a handle, a slideway supporting plate, an ultrahigh frequency partial discharge detector mounting assembly, an electric push-pull shed, a lifting assembly and a shooting auxiliary frame. The top of the handle is fixedly provided with the slideway supporting plate through bolts, and one side of the upper surface of the slideway supporting plate is provided with a supporting rod; the top of the supporting rod is provided with an ultrahigh frequency partial discharge detector installation assembly. According to the invention, the electric push-and-pull shed is slidably mounted on the slideway supporting plate, the shading effect is achieved through the electric push-and-pull shed, and the shading length and area of the electric push-and-pull shed can be adjusted according to the video recording distance and angle between the ultrahigh frequency partial discharge detector on the ultrahigh frequency partial discharge detector mounting assembly and the camera shooting equipment on the shooting auxiliary frame. Environmental interference of direct solar radiation and strong light is eliminated, an optimal ultrahigh-frequency partial discharge detection video is obtained, and ultrahigh-frequency partial discharge detection information of distribution network equipment is accurately analyzed and judged.

The invention discloses a method for detecting biological information of human body meridians and viscera. The method comprises the following steps: S1, setting a device for detecting the biological information of the human body meridians and viscera; S2, leading a detected person into a stable electromagnetic field; and S3, acquiring acupoint human body biological information. The invention further discloses a device for detecting the biological information of the human body meridians and viscera. The device comprises a control panel, a probe, an electrode, a connecting line and a human bodybioelectricity data processing module, wherein the probe is a human body bioelectricity receiving probe; the electrode is connected with the human body bioelectricity data processing module; the humanbody bioelectricity data processing module comprises a human body bioelectricity data receiver, a human body bioelectricity data amplifier and a data analyzer; the data analyzer comprises a meridianand viscera bioelectricity reference database, a data input module, a data output module and a data storage module; the human body bioelectricity data processing module is electrically connected withthe control panel; and a keyboard and a mouse are electrically connected with the control panel. The method and device disclosed by the invention are comprehensive in detection function and high in accuracy, and pain is avoided.

The invention relates to the technical field of low-voltage power distribution safety, in particular to an overall operation system based on a distribution network inspection tool, which comprises a background computer, a distribution network operation inspection intelligent tool and a distribution transformer distribution box, the distribution transformer distribution box comprises a master controller, a current sensor, a voltage sensor, a controlled power frequency current generator, a communication transmission module and a current transformer installed on a grounding lead. A distribution network operation inspection intelligent tool is used for monitoring and analyzing data state signals such as the inclination angle of an electric pole, the temperature of a cable, a connector and a disconnecting link connector, an abnormal opening signal of a box door, grounding resistance of a distribution transformer district, heat dissipation and service life of the tool, the state of inspection personnel and the like; a distribution network operation and maintenance intelligent tool needs to process data collected by various sensors in real time, accurate analysis and judgment are carried out, the effects of scientific management, high efficiency, accuracy and safety are achieved by applying 4G and 5G communication technologies and software and hardware research and development scientific and technological means, and the distribution network operation and maintenance intelligent tool has high reliability and applicability.