20results about How to "Reduce detection workload" patented technology

The utility model discloses a device for detecting the axial clearance of a combined bearing with two single-row tapered rollers, which relates to the field of tapered roller bearing detection and comprises a combined bearing which is locked on a mandrel fixing plate after a mandrel is sleeved at the center of the combined bearing; the mandrel fixing plate is installed on the bottom plate in an embedded mode, the ejector rod fixing plate is arranged below the bottom plate, and the ejector rod is arranged between the ejector rod fixing plate and the mandrel fixing plate in a penetrating mode. One end of the first stress application assembly is supported on the bottom plate, the other end is provided with an upper pressing block, and a loading force from bottom to top is applied to the outer ring of the lower bearing through an ejector rod; one end of the second stress application assembly is supported on the bottom plate, the other end of the second stress application assembly penetrates through the bottom plate and then is movably connected with a lower pressing block mounting rod, and a lower pressing block is mounted on the lower pressing block mounting rod; the dial indicator abuts against one end of the dial indicator connecting rod, and the other end of the dial indicator connecting rod penetrates into the lower pressing block. According to the utility model, the detection cost is reduced, the detection steps are simplified, and the purposes of efficient and accurate measurement are achieved.

The application provides a kind of foodborne microorganism identification method based on metal omics coupling XGBoost algorithm, belongs to microorganism identification technical field, the foodborne microorganism identification method includes the following steps: 1) with foodborne microorganism strain as research object, ICP-MS is used to analyze each standard strain metal group characteristics, combined with XGBoost algorithm to construct foodborne microorganism classification model;2) the ICP-MS full quantitative analysis is used to detect the bacterial species, and the detection data of the metal elements of the bacterial species to be detected are obtained;3) the obtained detection data is substituted into the obtained foodborne microorganism classification model for analysis, and the bacterial species to be detected is identified.The foodborne microorganism classification model constructed by the application can quickly and accurately identify 18 kinds of foodborne microorganisms, and lays a good foundation for the broad-spectrum and efficient classification and identification of more kinds of foodborne microorganisms in the future.

The invention discloses a visual positioning cover pressing device which comprises a cover pressing machine body and a cover arranging machine arranged on the side face of the cover pressing machine body, the cover pressing machine body comprises a rack, a horizontally-installed conveying roller channel is arranged in the rack, and a cover conveying channel extending out of the cover arranging machine is arranged above the portion, behind the conveying roller channel, of the rack. The cover conveying channel is connected with the machine frame through a supporting assembly, a cover conveying mechanism is installed on the machine frame on the side face of the supporting assembly, a control cabinet is installed on the machine frame below the cover conveying mechanism, a material barrel is placed on the conveying roller channel, a moving module with a cover pressing assembly is installed on the top of the machine frame, and fixed-point moving is conducted in a constructed three-dimensional coordinate system. And a visual positioning module is mounted on the rack. Compared with a traditional mode that a material barrel is rotated to a fixed angle and then a cover is pressed, the detection workload of rotary positioning of the traditional material barrel is greatly reduced, coarse positioning and accurate positioning functions are achieved through the two visual positioning modules, the positioning accuracy of the barrel opening position is further improved, the scheme that the waterproof cover is pressed on the barrel is optimized, and the working efficiency is improved. And the cover pressing efficiency is improved through a high full-automatic positioning cover pressing structure.

The invention provides a hydraulic reclamation silty soil dynamic compaction foundation quality detection method and system, and relates to the field of foundation quality detection.The method comprises the steps that a vibration detection assembly is arranged on a hydraulic reclamation silty soil dynamic compaction foundation to be detected; carrying out a vibration detection test, and collecting vibration detection data of the hydraulic reclamation silty soil dynamic compaction foundation to be detected; determining an in-situ detection test scheme and a Rayleigh wave detection test scheme according to the vibration detection data of the to-be-detected hydraulic fill silty soil dynamic compaction foundation; according to the in-situ detection test scheme, an in-situ detection test is carried out on the hydraulic reclamation silty soil dynamic compaction foundation to be detected, and in-situ detection test data are collected; according to the Rayleigh wave detection test scheme, performing a Rayleigh wave detection test on the to-be-detected hydraulic fill silty soil dynamic compaction foundation, and collecting Rayleigh wave detection test data; according to the in-situ detection test data and the Rayleigh wave detection test data, the quality of the hydraulic reclamation silty soil dynamic compaction foundation to be detected is determined, and the method has the advantage that the efficiency and accuracy of hydraulic reclamation silty soil dynamic compaction foundation quality detection are improved.

The present invention discloses a method for simultaneously detecting multiple precocious puberty biomarkers; the method comprises the following steps: 1) taking a urine sample and adding an internal standard solution; 2) enzymolysis: adding a glucuronidase solution to the sample solution of step 1) for enzymolysis; 3) the samples after enzymolysis are respectively loaded on an HLB solid phase extraction plate and a MAX solid phase extraction plate, and after washing with a rinsing liquid to remove interfering substances, the samples are eluted with an eluent, and the eluents of the HLB solid phase extraction plate and the MAX solid phase extraction plate are combined, and UPLC-MS detection is performed to obtain the contents of multiple precocious puberty biomarkers; the multiple precocious puberty biomarkers include exogenous hormone compounds, plasticizers, bisphenol A compounds, and endogenous hormone compounds; the detection types of the multiple precocious puberty biomarkers are 102 or more. The present invention is easy to operate and greatly improves the detection speed, throughput, and types and quantity of precocious puberty biomarkers covered.

The utility model discloses a storage battery voltage detection device, belongs to the field of voltage detection, and solves the problems of large workload, low safety, low detection precision, high detection cost and low detection efficiency during battery voltage detection in the prior art. The length of the first frame is telescopic. One end of the first frame is connected with one end of the second frame through a fixing piece. The insulating handle sleeves one end, deviating from the second frame, of the first frame. The fixed meter head is fixed at one end of the second frame away from the first frame. The adjusting mechanism is arranged on the second frame and located between the fixed meter head and the first frame. And the movable gauge outfit is fixed on the adjusting mechanism. The movable gauge outfit and the fixed gauge outfit are electrically connected with the voltage detection mechanism. According to the invention, only one operator is needed to detect the voltage of the storage battery, the detection cost and the detection workload are reduced, the detection efficiency and the detection precision are improved, the operator does not need to stretch the arm into the battery rack during detection, and the safety is high.

The invention provides an electric power equipment intelligent green recovery method and system based on material attribute characteristics, and the method comprises the steps: carrying out the preprocessing of the attribute characteristics of to-be-recovered electric power equipment, so as to correct the distortion characteristics under the environment interference, and complement the characteristic parameters of the lack of novel materials; distributing a dynamic weight for each attribute index in the attribute index system through a dynamic weight distribution algorithm, and calculating a comprehensive score of the power equipment through a weighted summation calculation mode; determining an initial recommendation recovery scheme according to the comprehensive score; and calculating a green recovery index of the power equipment, evaluating whether the power equipment meets a green recovery requirement through the green recovery index, and adjusting the initial recommended recovery scheme according to an evaluation result. According to the method, accurate classification of high-difficulty recovery materials and adaptive recovery scheme recommendation are realized through multi-stage operation processing of attribute feature preprocessing, feature weighted fusion and green evaluation.

The present invention discloses a method and device for detecting multi-focal lung cancer, which obtains all variant sites by obtaining transcriptome data of multi-focal lung cancer samples, and then performs preliminary filtering and deep filtering; based on the variant sites of dual primary lung cancer samples and metastatic lung cancer samples, all variant sites are screened for 2 rounds using hypothesis test parameters, variance analysis functions and correlation functions to obtain core variant sites; a machine learning algorithm is constructed using the core variant sites, and the machine learning algorithm is trained using the transcriptome data to obtain an optimized machine learning algorithm for detecting multi-focal lung cancer, which is used to diagnose whether the multi-focal lung cancer sample to be detected is dual primary lung cancer or metastatic lung cancer. The present invention can continuously update the core variant sites, and continuously train the machine learning algorithm for detecting multi-focal lung cancer, which can more accurately determine whether the multi-focal lung cancer sample is dual primary lung cancer or metastatic lung cancer, and help clinical diagnosis and treatment.

The utility model relates to the technical field of control engineering, in particular to a PLC (Programmable Logic Controller) practical training output detection device, which comprises a circuit unit provided with at least one common end and at least one detection end, the common end is used for being connected with an output common end of a PLC, and the detection end is used for being connected with an opposite output end; the display unit is electrically connected with the circuit unit and is used for indicating the conduction state of the current detection end; according to the utility model, by means of the relation between the common end and the output end of the PLC output, the direct insertion type inspection device is designed, whether the inspection device is damaged is judged by judging whether the output end and the power supply port can form a loop, the overall structural design is simple and light, only a power line needs to be connected for wiring, the output port needing to be detected does not need to be wired, and the cost is reduced. Meanwhile, detection is fast, time and labor are saved when the device is plugged and unplugged, the device is light and portable in overall design and convenient to carry and use, and convenience and accuracy of equipment maintenance are improved.

The invention discloses a method for detecting and evaluating a gesture recognition control function of an intelligent extractor hood, which comprises the following steps of: controlling a bionic hand motion control module to simulate a gesture action of a human hand in front of the extractor hood through an upper computer, and acquiring the pressure of an air inlet of the extractor hood through an instrument data acquisition module; and then the upper computer automatically counts the recognition rate of the gesture recognition control function of the range hood according to the change of the pressure after each gesture action, and forms a detection report according to a template. According to the invention, through automatic statistics of the recognition rate which is one of the most important indexes of the gesture recognition control function of the intelligent extractor hood, a solution for automatically detecting and evaluating the gesture recognition control function of the intelligent extractor hood is provided for a third-party laboratory or an enterprise internal laboratory, so that the detection workload of testers can be reduced; the detection efficiency is improved and the practicability is high.

This invention discloses a method for identifying the stipe length of Ganoderma lucidum using genetic differences, belonging to the field of Ganoderma lucidum breeding and cultivation technology. This method utilizes specific primer pairs del670 or insertion2441 to perform PCR amplification of Ganoderma lucidum mycelial DNA. Early prediction of the stipe phenotype is achieved by detecting the size of the amplified product fragments: if a 1569 bp fragment is obtained using the del670 primer pair or a 1357 bp fragment is obtained using the insertion2441 primer pair, the strain is identified as short-stalked; if an 899 bp fragment is obtained using the del670 primer pair or a 3798 bp fragment is obtained using the insertion2441 primer pair, the strain is identified as long-stalked. This method enables rapid and accurate identification of Ganoderma lucidum stipe length at the mycelial stage, eliminating the need for traditional fruiting cultivation, significantly shortening the breeding cycle and reducing testing costs.

The invention relates to the technical field of sound wave detection, and discloses a portable multipoint sound wave vibration analysis device for emergency rescue, which comprises an outer arc tube, the rear end of the outer arc tube is fixedly connected with a handle, the upper end of the outer arc tube is fixedly connected with a wireless control processor, and the middle part of the outer arc tube is fixedly connected with a speed reducing motor. A negative pressure pump is arranged on the front side of the outer arc pipe, and an elastic suction cup is fixedly connected to the front end of the negative pressure pump. The upper side and the lower side of an inner cavity of the outer arc pipe are slidably connected with inner tooth pipes distributed in the circumferential direction correspondingly, and the gear motor can control the two inner tooth pipes to move back to back and stretch out. The two inner tooth pipes carrying the first electric wheels and the sound wave transducers are stored in the outer arc pipe, the size of the device can be reduced, meanwhile, carrying during emergency rescue is facilitated through cooperation with a handle, the rescue efficiency is improved, stable movable ring body surrounding is automatically and rapidly formed during detection, collection is convenient, and the detection efficiency is improved. And a plurality of bridge pile foundations can be continuously, widely, comprehensively and accurately detected, so that the detection efficiency is improved.

The levelness measuring device for building engineering construction comprises an inspection mechanism, the inspection mechanism comprises an inspection vehicle body, a steering wheel located at the left end of the inspection vehicle body is fixedly installed on the bottom face of the inspection vehicle body, and a driving wheel located at the right end of the inspection vehicle body is fixedly installed on the bottom face of the inspection vehicle body; the levelness of the horizontal plane of a building can be truly reflected through the ground sensing mechanism, and a detection reference surface can be provided for the levelness measuring device for building engineering construction through the reference surface fixing structure, so that the detection accuracy can be increased; information detected by the ground sensing mechanism can be converted into digital signals through the levelness measuring mechanism, the levelness of the horizontal plane of a building is represented through specific digits, the detection accuracy is further improved, the defects that a guiding rule, a level gauge, a leveling staff and a ball are used for levelness detection are overcome, and the detection accuracy is improved. And the practicability of the levelness measuring device for building engineering construction is improved.

The present invention relates to the field of acoustic wave detection technology, and discloses a portable multi-point acoustic wave vibration analysis device for emergency rescue, comprising an outer arc tube, a handle fixedly connected to the rear end of the outer arc tube, a wireless control processor fixedly connected to the upper end of the outer arc tube, a reduction motor fixedly connected to the middle of the outer arc tube, a negative pressure pump arranged at the front side of the outer arc tube, and an elastic suction cup fixedly connected to the front end of the negative pressure pump; the upper and lower sides of the inner cavity of the outer arc tube are respectively slidably connected to circumferentially distributed inner tooth tubes, and the reduction motor can control the two inner tooth tubes to move backward and extend. The present invention can reduce the volume of the device by storing two inner tooth tubes carrying electric wheels and acoustic wave transducers in the outer arc tube, and at the same time, it is convenient to carry during emergency rescue with the help of the handle to improve the rescue efficiency. During detection, a stable mobile ring body is automatically and quickly formed to surround, and it is convenient to collect, which is convenient for continuous, extensive, comprehensive and accurate detection of multiple bridge pile foundations, thereby improving the detection efficiency.

The present invention discloses a method, device and storage medium for detecting illegal parking of shared electric motorcycles. The present invention collects parking images of shared electric motorcycles and uses machine vision recognition technology to perform illegal parking detection of shared electric motorcycles. In this way, compared with traditional manual inspections, not only the detection workload is reduced, but also the detection efficiency is improved. At the same time, the present invention associates illegal parking detection with users of shared electric motorcycles, and generates illegal parking information and sends it to corresponding users when illegal parking occurs, thereby reminding users of the existence of illegal parking behavior. Therefore, effective supervision can be formed on users, thereby reducing illegal parking behavior of shared electric motorcycles from the source.

The invention discloses a method for separating and detecting related substances in umeclidinium bromide starting material benzyl-2-bromoethyl ether based on gas chromatography and liquid chromatography, including gas chromatography and liquid chromatography detection, and the test sample of liquid chromatography detection is prepared by dilution using gas chromatography detection test sample. The present invention respectively realizes the simultaneous detection of dichloromethane, impurity iii-1, impurity iii-7, impurity iii-9, impurity iii-13 and impurity iii-15 in umeclidinium bromide starting material (benzyl-2-bromoethyl ether), and impurity iii-2, impurity iii-4, impurity iii-5, impurity iii-8, impurity iii-10, impurity iii-11 and impurity iii-12, and confirms that the present method is completely separated from impurities by method verification test, has strong specificity, high sensitivity, good linear relationship of each impurity, high precision, high accuracy and good durability, and can effectively control the quality of product.

The present invention provides a method for quickly detecting the state of a charging system, which includes the following steps: step S10, triggering a quick detection process in a detection device; step S11, reading the battery information of the vehicle and performing battery coding calibration; step S12, after the vehicle is in a static working condition, collecting the battery state information and obtaining a static working condition determination result; step S13, after the vehicle starts the engine and enters a stable idle working condition, collecting the battery state information and the generator state information and obtaining a first dynamic working condition determination result; step S14, controlling the engine to increase the speed to a predetermined speed, collecting the battery state information and the generator state information and obtaining a second dynamic working condition determination result; step S15, performing a comprehensive analysis based on the above determination results and obtaining a final determination result. The present invention also provides a corresponding system. By implementing the present invention, the determination result of the charging system state can be obtained quickly and accurately, and the efficiency of after-sales maintenance and repair can be improved.

The invention provides a landfill gas detection method, device and equipment and a storage medium, and relates to the technical field of landfill gas detection.The method comprises the steps that landfill gas concentration data of a selected monitoring well in continuous x days are collected to serve as historical data, and gas concentrations in the next few days are predicted; gas concentration detection does not need to be carried out every day, so that the working time is shortened, and fuzzy detection on time is realized; the n representative monitoring wells are selected from the m monitoring wells of the to-be-detected area for data collection, the gas concentration in the area is further predicted, and fuzzy detection on the area is achieved. In this way, the gas concentration of the to-be-detected area is detected in a fuzzy mode in time and area, and the cost and workload of gas detection are greatly reduced. In addition, the fuzzy detection methods on time and area can be independently applied and can also be applied in a combined manner, so that the method can be applied to different landfill gas detection scenes.

The application discloses a transformer oil chromatogram false alarm feature extraction and comprehensive identification method, comprising the following steps: screening typical false alarms and real alarm data in the online monitoring historical data of oil chromatogram; setting a sliding time window according to the screened data, and constructing a standardized alarm history library; based on Shapelets transformation, extracting features of each state quantity in the standardized alarm history library; based on the extracted feature data, using a double-layer LightGBM algorithm to comprehensively judge the authenticity of the transformer oil chromatogram alarm of all state quantities. By extracting the time sequence features of the oil chromatogram false alarm data section, combining the double-layer regressor, the real-time and comprehensive discrimination of the false alarms of eight gas components is realized, which is suitable for power companies in the process of transformer equipment management, reduces the number of online chromatogram false alarms, reduces the work burden of the grassroots, and improves the quality and efficiency of maintenance.

The invention relates to a genome editing system and method for melilotus albiflora based on a hairy root genetic transformation system, and belongs to the technical field of plant genetic engineering. According to the invention, an editing carrier system of the MaPDS gene is constructed according to two target sites on the MaPDS gene of the sweet clover, and the editing system is CRISPR2.0-MtLAP1-KO-MaPDS; according to the editing system, sweet clover hypocotyl is used as an explant material, hairy roots are obtained through an agrobacterium rhizogenes-mediated hypocotyl explant infection method, and meanwhile, the hairy roots are obtained on the basis of the principle that anthocyanin is over-expressed and accumulated based on an MtLAP1 transcription factor for color development. Positive hairy roots are obtained through visual, rapid and efficient screening, and efficient editing of the MaPDS gene of the red positive hairy roots is achieved. The method provided by the invention can effectively reduce the occurrence of solid roots in the inducing process of the sweet clover hairy roots, prevent agrobacterium pollution, reduce the detection workload and realize efficient gene editing of target genes.