128 results about "Grain quality" patented technology

The invention discloses a grain crop grain classification detection method and system based on small samples, and relates to the technical field of grain quality detection.The method comprises the steps that hyperspectral images of grain crop grains are obtained, quality categories are marked, and then multi-modal features are extracted to construct a classification data set; the data set is used for training a multi-modal fusion classification model, a feature fusion network carries out dynamic weighted fusion on multi-modal features by means of an attention mechanism, a high-dimensional fusion feature vector is generated, and a classifier detects a quality category according to the high-dimensional fusion feature vector. During detection, the multi-modal features of the to-be-detected grains are input into the trained model, and then the quality category can be obtained. The method effectively solves the problems that a single modal method is difficult to deal with complex differences among grain crop grain types, high in hyperspectral data dimension, few in samples, easy to over-fit and the like under the condition of small samples, dynamic focusing of key information is realized by introducing an attention mechanism to optimize modal fusion weight distribution, and the method is suitable for popularization and application. And the classification accuracy and the model robustness are improved.

The invention discloses a special slow-release compound fertilizer for corn and a preparation method thereof, the special slow-release compound fertilizer comprises the following raw materials by weight: 30-40 parts of urea, 15-20 parts of ammonium sulfate, 20-25 parts of potassium sulfate, 15-25 parts of monoammonium phosphate, 2-3 parts of a seaweed extract, 0.5-1.5 parts of polyaspartic acid, 0.5-1.5 parts of trace elements, and 0.5-1 part of a slow-release agent, the slow-release agent comprises DMPP, the trace elements comprise zinc-boron-titanium citrate, and the slow-release agent comprises potassium sulfate, potassium sulfate, potassium sulfate, monoammonium phosphate, polyaspartic acid, zinc-boron-titanium citrate. The seaweed extract comprises chitosan. DMMP is added into the formula, so that stable supply of nitrogen and synergistic yield increase benefits are achieved; the chitosan, the titanium zinc borate citrate and the polyaspartic acid are added, so that the absorption efficiency of the root system is further improved, the robust growth of corn plants is promoted together, and the acre yield and the grain quality of the corn are effectively improved.

The invention relates to the field of plant growth regulators, in particular to a conditioner group for improving the grain quality and the rice quality of direct seeding rice and a preparation and use method thereof.The preparation method of a conditioner in the initial heading stage comprises the following steps that 1, 6-benayl aminopurine is dissolved in a diluted hydrochloric acid solution in a assisted mode, and a 6-benayl aminopurine solution is obtained; step 2, adding choline chloride into the solution obtained in the step 1, stirring to obtain a mixed solution, transferring the mixed solution into a volumetric flask, and adjusting the pH value; 3, abscisic acid powder is dissolved with absolute ethyl alcohol, volume metering is carried out after dissolution to form a stock solution, and then PH adjustment is carried out. Two conditioners are included and sprayed in the initial heading stage and the full heading stage respectively, glumous flower degeneration can be reduced, the photosynthetic production capacity of the upper three leaves after flowering can be improved, assimilation substances are promoted to be transferred to grains, especially the filling state of vulnerable grains is improved, and the yield of the seedlings is increased. Finally, the grain number, the maturing rate, the grain weight and the yield are improved, meanwhile, the head rice rate of rice can be improved, and the protein content is reduced, so that the palatability of rice is improved.

The invention discloses a method for predicting the change trend of grain quality in a granary based on multi-modal data fusion, and relates to the technical field of granary supervision, and the method comprises the steps: judging a grain quality basic index and a grain quality change rate according to preprocessed multi-modal data; performing spatial-temporal feature fusion analysis based on the preprocessed multi-modal data, the grain quality basic index and the grain quality change rate, and constructing a grain quality prediction feature space; generating a grain quality change trend prediction model by using a preset grain quality evolution law and the grain quality prediction feature space; the preset grain quality evolution rule is obtained based on historical multi-modal data and historical granary environment parameters; obtaining current granary environment parameters, and inputting the current granary environment parameters into the grain quality change trend prediction model to output a grain quality change trend prediction result; the demand of intelligent warehouse management is met, and the accuracy and practicability of grain quality change trend prediction are improved.

The invention discloses an intelligent processing system for agricultural grain harvesting, and the system comprises a plurality of acoustic emission sensing units which are distributed in an array manner, are coupled to a threshing part, and are used for monitoring the micro-damage of grains; and the integrated multi-mode sensing unit is arranged on the grain conveying part and comprises a transmission type sensor for acquiring grain internal structure data, a spectrum sensor for acquiring grain surface chemical component data, a volatile organic compound sensor and a body moisture sensor. The system also includes a central data processor configured to: calculate a micro-damage index; generating a grain quality map; generating corruption risk features; and generating a system control signal for the agricultural harvesting device based on at least one of the microdamage index, the grain quality map, and the spoilage risk feature. The problems that internal damage cannot be monitored in real time, internal and external defects cannot be distinguished and moisture interference cannot be overcome in a harvesting field are solved.

The invention relates to a grain impurity detection method based on a double-level deep learning algorithm, and belongs to the field of grain quality detection. Comprising the following steps: collecting grain sample images containing various impurity types on a grain collecting crawler belt, and establishing an original data set; carrying out feature extraction and classification training on the CNN model by using a first sample set obtained by preprocessing the original data set, and carrying out network structure and parameter tuning, so that the CNN model can carry out impurity type classification and impurity position labeling on an input sample image; establishing a second sample set for grain sample images without impurities after CNN model detection; training a YOLO model by using the second sample set, so that the YOLO model can perform category classification and position labeling on impurities which are not detected by the CNN model; the CNN model or the CNN model and the YOLO model are adopted to track the marked impurity positions after the continuously shot grain sample images are detected, so that the impurity position detection precision is improved. According to the invention, impurities in grains can be efficiently and accurately identified.

The invention discloses a grain supply chain privacy data sharing method based on distributed federated learning, and relates to the field of grain quality safety. According to the method, the private data sharing architecture of the grain supply chain is divided into a local layer, an edge layer and a global layer, a feature distillation framework is designed for data isomerism, and a model aggregation scheme and a hierarchical federated learning algorithm of each layer are optimized. And meanwhile, five encryption algorithms are introduced to realize hierarchical encryption, so that the data are ensured to be available but invisible, the sharing security and credibility are improved, and privacy protection and data sharing are balanced. Coupling of different types of data among links of the grain supply chain is increased, convenience and safety of data interaction among the links of the grain supply chain are improved, storage cost of the data of the supply chain and high delay of interaction are reduced, fine management of the data of the grain supply chain and personnel is achieved, and the management efficiency of the grain supply chain is improved. And the food quality safety of the grains is ensured.

The invention provides a grain full-link quality tracing system and method and a medium, and belongs to the technical field of grain safety, and the grain full-link quality tracing system comprises a data collection module which is used for collecting full-link grain data of grains from raw material purchasing to storage, processing and circulation links in real time; the full-link grain data comprises environment data and equipment parameters; the block chain evidence storage module is used for carrying out Hash calculation on the full-link grain data acquired by the data acquisition module and the key business data input manually and carrying out chaining evidence storage; the intelligent analysis module is used for performing prediction and anomaly detection on the grain quality risk by using a neural network based on the full-link grain data of the upper chain evidence and the real-time full-link grain data; and the cloud service module is used for integrating multi-source data, providing a data interface and visual display, and supporting full-link traceability query and supervision audit. According to the technical scheme, the problems of data fault, tampering risk and risk early warning lag in the prior art can be solved.

1. Name of the product in this design: Grain Quality Analyzer. 2. Purpose of this design: For the grade testing of grain quality. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1. 5. The bottom surface of this product is a part that is not easily seen or cannot be seen during use, so the bottom view is omitted.

This application relates to the technical field of grain processing quality inspection, and in particular to a grain quality infrared image recognition equipment, which includes a housing with a turntable rotatably mounted inside the housing. A drive source is provided between the turntable and the housing, and multiple storage cylinders are arranged on the turntable. This utility model, through the annular layout design of the turntable carrying multiple storage cylinders, combined with the rotation control of the drive source, can realize multi-channel parallel detection of grain samples. When one storage cylinder is under the infrared detector for detection, other storage cylinders can simultaneously complete operations such as feeding, unloading, or vibrating and spreading, avoiding the "intermittent detection" drawback of traditional single-channel equipment. At the same time, the two discharge pipes, combined with the eccentric setting of the electric telescopic rod, can automatically switch the opening and closing state of the baffle according to the detection results, realizing dynamic sorting of qualified and unqualified grains without manual intervention, significantly improving the detection and sorting efficiency in large-scale grain processing scenarios.

This invention relates to the field of crop breeding technology, specifically to a highly efficient breeding method for early-maturing highland barley. The method includes the following steps: parent selection and matching, planting substrate preparation, application of growth regulators, planting management, multi-generation screening, and variety identification. This invention, by screening parents with early-maturing and disease-resistant characteristics, optimizing the planting substrate (adding microbial agents), precisely applying growth regulators, and dynamically controlling the planting environment and nutrient solution, combined with early maturity, disease resistance, and variety identification, efficiently breeds highland barley with a short growth period and strong resistance to stripe rust and powdery mildew. It optimizes plant type and yield structure, improves grain quality, achieves increased yield and genetic stability, and provides technical support for highland barley variety improvement and high-yield, high-quality cultivation.

1. The name of this design product: Sampler (grain quality inspection sampling device). 2. Purpose of this design product: for sampling during grain inspection. 3. The key point of the design of this product lies in its shape. 4. The picture or photo that best illustrates the design points: three-dimensional picture.

The utility model belongs to the technical field of grain screw conveyor screening, and particularly relates to a grain conveyor with a screening function, which comprises a grain feeding barrel and a support frame, the grain feeding barrel is fixedly mounted at the top of the support frame, a barrel cover is fixedly mounted at the top of the grain feeding barrel, and a conical barrel is fixedly mounted at the bottom of the grain feeding barrel. A transmission barrel is fixedly mounted at the bottom of the conical barrel, a transmission motor is fixedly mounted on the left side of the transmission barrel, a screw rod is fixedly connected to the output end of the transmission motor, spiral blades are fixedly mounted on the surface of the screw rod, a grain outlet pipe is fixedly mounted at the bottom of the transmission barrel, an air blower is fixedly mounted on the left side of the grain outlet pipe, and a grain distribution box is fixedly mounted on the right side of the grain outlet pipe; and a screening mechanism is arranged in the grain distribution box. According to the grain conveyor with the screening function, grains are screened through the screening mechanism in the grain distribution box, so that the grains are screened more conveniently, and the situation that rhizomes, weeds and the like are mixed in the grains, screening is difficult, and the grain quality is affected is prevented.

The application discloses a kind of based on machine vision's grain quality index intelligent detection method, it is related to grain quality and safety detection technical field, including, using high-resolution camera to collect the upper surface and lower surface image of grain sample, pre-processing is carried out, obtains the two-dimensional image after pre-processing, utilizes convolutional neural network to extract two-dimensional feature, identifies grain external defect, and applies the physical model of light scattering theory to analyze grain internal defect, obtains preliminary quality evaluation result, the application is extracted two-dimensional feature by combining convolutional neural network to identify grain external defect, and applies the physical model of light scattering theory to analyze grain internal defect, to realize the overall evaluation of grain internal and external quality.SVM classifier is used to determine the final quality state of each grain, further improve user experience and work efficiency.

The invention discloses a grain drying machine with on-line dust removal and hot air circulation functions, which comprises a tower type drying machine with a hot air inlet and a waste heat outlet; a hot air outlet of the hot air furnace communicates with the hot air inlet through a hot air pipe; an exhaust opening of the exhaust fan communicates with the waste heat outlet through an exhaust pipe, and an outlet of the exhaust fan is connected with an exhaust pipe; an inlet of the dust removal device is communicated with the exhaust pipe; a first pipe orifice of the three-way reversing pipe is communicated with an outlet of the dust removal device, a second pipe orifice of the three-way reversing pipe is communicated with a hot air hearth of the hot blast stove through a return pipe, and a third pipe orifice of the three-way reversing pipe is connected with an ash discharge pipe; a movable air door mechanism is arranged on the three-way reversing pipe and used for controlling connection and disconnection of the first pipe opening and the second pipe opening and controlling connection and disconnection of the first pipe opening and the third pipe opening. According to the dryer, waste heat can be recycled, the energy-saving effect is good, impurities and dust in the waste heat can be filtered through the dust removal device, and the grain quality is improved.

The invention discloses an automatic grain multi-sample separation device and an operation method. Characterized in that; the device is provided with a frame body, an inlet for grain sample separation is formed in the top of the frame body, a grain temporary storage box and a sample outlet groove are fixedly installed on the upper portion of an inner cavity of the frame body, and the grain temporary storage box is located below the inlet and communicated with the inlet through a grain conveying channel; two groups of mechanical elevator bucket mechanisms are respectively arranged in the inner cavity of the frame body and correspond to the two sides of the grain temporary storage box and the sample outlet groove, the reciprocating grain pouring action towards the upper end opening of the grain temporary storage box is realized through the mechanical elevator bucket mechanisms, and a material distributing device and a sample receiving box are arranged at the lower end of the inner cavity of the frame body. According to the device, through the integrated design of automatic refining, accurate sample separation and convenient sampling, the technical problem of traditional sample separation is solved, reliable equipment support is provided for standardization, high efficiency and intelligentization of grain quality inspection work, and the device has remarkable practical value and industrial popularization significance.

This invention discloses an intelligent grain quality detection system and method, belonging to the field of grain quality inspection technology. The system includes a separation device that receives and diverts grain samples; a purification device that receives the grain samples diverted by the separation device and removes impurities from the grain samples; a detection assembly including multiple parameter detection devices; and a driving device that drives the grain samples to be transported between the separation device, the purification device, and the detection assembly. The detection assembly is equipped with a track, on which a dispensing cart that can move along the track is mounted. A first dispensing hopper is positioned above the dispensing cart, and a second dispensing hopper is positioned below it. The first dispensing hopper receives the purified grain samples and quantitatively dispenses them into the second dispensing hopper, while the second dispensing hopper distributes grain samples to the multiple parameter detection devices in a specified amount. This invention can accurately dispense grain samples to different detection devices.

The invention belongs to the technical field of grain quality detection, and particularly relates to a grain quality detection method based on an array sensor. The grain quality detection method comprises the following steps: acquiring headspace gas of a to-be-detected grain sample, introducing the headspace gas into a gas sensor array for detection, collecting an electric signal generated by the gas sensor array in the detection process, calculating a sensor response curve based on the electric signal, and determining the quality of the to-be-detected grain sample on the basis of the response curve. And obtaining a quality identification result of the to-be-detected cereal sample by utilizing an analysis model. The detection method provided by the invention gives consideration to nondestructive property, rapidity, intelligent level and field adaptability, can be used for realizing early-stage mildew identification, deep quality monitoring and automatic deployment of grains, and realizes accurate perception and grading evaluation of grain quality states, especially mildew development processes.

The invention discloses a yield measurement method and system based on grain accumulation form online identification and measurement, and relates to the field of agricultural machinery intelligence. Acquiring a first operation position, an operation speed and a header image of the current harvester, and calculating a current actual effective cutting width according to the header image; when the current output voltage of the proximity switch is a high level, collecting a grain image on a scraper of the elevator, constructing a grain three-dimensional accumulation model based on the grain image in combination with the reconstructed three-dimensional point cloud, and calculating the grain volume; obtaining the water content of the current grain, and converting the volume of the grain into the weight of the grain; and acquiring a real-time second operation position of the harvester, calculating an effective harvesting length in unit time and calculating a harvesting area in unit time by combining the first operation position and the operation speed, and further completing calculation of the grain quality and the yield of the land parcel. According to the invention, key technical support is provided for intelligent and precise upgrading of agricultural mechanization.

The invention discloses a grain quality detection device in the field of grain detection, and the device comprises a detection box body which is a rectangular box body, the interior of the detection box body is divided into three vertical interlayers, and a top plate is provided with a feed inlet; the primary filtering assembly is arranged on the uppermost interlayer; the tiling assembly is arranged on the interlayer below the primary filtering assembly; the image assembly is arranged on the primary filtering assembly; the multi-parameter detection assembly and the tiling assembly are arranged on the same interlayer; the output assembly is arranged on the bottom plate of the detection box body; the grain detection device has the beneficial effects that the vertical interlayer is arranged, so that the grain detection process is a falling process, an additional transportation structure is not needed, the detection process is not influenced by primary treatment, and the detection is more efficient and accurate.

The utility model discloses a grain-saving and consumption-reducing bulk grain conveyor which comprises a machine body and a moving assembly located at the lower end of the machine body and further comprises a framework, a shielding tent, a feeding hopper and a discharging barrel. A plurality of frameworks are uniformly and detachably connected to the upper end of the machine body; the shielding tent covers the plurality of frameworks, and the two ends of the shielding tent in the length direction are detachably connected with the machine body; the lower end of the machine body is detachably connected with a feeding hopper, and the upper end of the machine body is detachably connected with a discharging barrel. The grain conveying device has the advantages that the framework is detachably installed at the upper end of the machine body and covered with the shielding tent, in the grain conveying process, due to the fact that the conveying channel is covered with the shielding tent, grains cannot fall off from the peripheral edge of the conveying belt, and loss of the grains in the grain conveying process is prevented; grain moisture is not lost, so that the grain quality is ensured; and as the grains do not fall off, workers do not need to spend a lot of energy on collecting the grains on the ground.

The invention relates to a microwave heating mixing device, and belongs to the technical field of drying equipment. Comprising a base and a material mixing assembly, and a supporting frame is arranged between the material mixing assembly and the base for supporting; a fixing pipe is arranged on the supporting frame, and the material mixing assembly performs circumferential rotation by arranging a driving assembly; the material mixing assembly comprises a microwave mixing bin and a feeding port, a material control assembly matched with the feeding port is arranged on the material mixing assembly, and the material control assembly blocks the feeding port; a microwave device generating assembly for performing microwave heating on the interior of the material mixing assembly is arranged on the supporting frame, and a wave-transparent window matched with the microwave device generating assembly is arranged on the microwave mixing bin. According to the microwave heating and mixing device provided by the invention, the mixing assembly is driven by the motor to rotate forwards and backwards, so that grains are uniformly heated, and local overheating is avoided. By adopting the design of the flexible bin and the flow guide edges, grain damage is reduced, and the physical state is kept complete. A temperature sensor is arranged to monitor and control the heating temperature in real time, so that the grain quality is ensured.

The invention relates to the technical field of grain grinding, and discloses a whole grain grinding device and method for preparing meal replacement powder, the whole grain grinding device comprises a grinding machine, a grain pretreatment mechanism and a grinding machine are arranged in the grinding machine, and the grain pretreatment mechanism is used for conducting cooking pretreatment on grain particles to be ground; the grain pretreatment mechanism comprises a pretreatment barrel, a center roller, a grain frying assembly and a quick cooling assembly, the center roller is arranged in the pretreatment barrel, and the grain frying assembly and the quick cooling assembly are arranged at the two ends of the center roller respectively; by arranging the material shoveling fins capable of adjusting the material shoveling angle, the material shoveling angle of the material shoveling fins can be scientifically adjusted according to different hot frying time of grain particles, uniform stir-frying and cooking of grains are realized, the problem of uneven heating of the grains in a traditional cooking mode is avoided, and the cooking efficiency and the quality of the grains are improved.

The invention discloses a grain inventory quality monitoring method and device and a medium. The method comprises the following steps: collecting inventory environment information corresponding to each grain warehouse area; loading a quality evaluation rule base corresponding to the grain warehouse area, and performing quality evaluation on grains stored in the grain warehouse area according to the inventory environment information through the quality evaluation rule base to determine grain quality corresponding to the grains; generating a corresponding grain quality evaluation report, and generating a corresponding quality billboard model according to the grain quality evaluation report; and in response to a trigger operation for a map anchor point corresponding to the grain storage area in the preset map, visually displaying the quality billboard model.

The invention relates to the technical field of grain sampling, and provides a grain sample sampling method and system based on port bulk grain layering quality anomaly prediction. A three-dimensional monitoring network is established by arranging an infrared thermal imaging sensor and an ultrasonic acoustic impedance detection sensor on a grain stack, and temperature distribution data and acoustic impedance data are collected. And identifying a potential fermentation mildew area based on temperature gradient, and establishing a three-dimensional moisture density distribution map in combination with acoustic impedance data. The risk weight coefficient of each region is calculated according to the temperature abnormal value and the acoustic impedance abnormal value, and a higher sampling density is set in a high-risk region. And applying a Bayesian optimization algorithm to dynamically adjust the subsequent sampling position according to the first batch of detection results. And generating a two-dimensional code identifier containing a space-time coordinate, an environmental parameter and a thermoacoustic characteristic value for each sampling point to realize whole-course traceable management of the sample. According to the method, the detection accuracy of the abnormal quality area is improved, the sampling efficiency is improved, and the quality safety supervision level of the bulk grain at the port is improved.

The utility model relates to the field of chaff separators, and discloses a chaff separator with a screening structure, which comprises a box body, two rollers are rotatably connected in the box body, gears are fixedly connected to the right ends of the rollers, the two gears are meshed with each other, a screening plate is rotatably connected in the box body, and the screening plate is fixedly connected to the right ends of the rollers. A driving assembly is arranged in the box body, the screen plate swings back and forth through the driving assembly, the front side of the box body is connected with a box cover through a dismounting assembly, a through groove is formed in the middle end of the box cover, a sealing assembly is arranged in the through groove, and a discharging assembly is arranged on the rear side of the box body. Impurities such as rice husks on the sieve plate are discharged out of the box body through the discharging assembly. According to the rice husk separator, by optimizing the structure and the technology, the separation efficiency and the grain quality are improved, an ideal grain treatment solution is provided for agricultural enterprises, and the rice husk separator has high market competitiveness.

The invention belongs to the technical field of corn molecular breeding, and particularly relates to application of a ZmGLU13 gene and a related biological material thereof in regulation of corn kernel traits. The nucleotide sequence of the ZmGLU13 gene is as shown in SEQ ID NO.1, and the amino acid sequence of the protein coded by the gene is as shown in SEQ ID NO.3; experimental results show that after the ZmGLU13 gene is deleted in the corn gene, the grain weight, the starch content and the protein of the corn can be reduced, and after the ZmGLU13 gene is over-expressed in the corn gene, the grain weight, the starch content and the protein content of the corn can be remarkably improved; the ZmGLU13 gene or a related biological material containing the ZmGLU13 gene can be used for carrying out genetic improvement on the corn yield and the grain quality.

The invention relates to the technical field of intelligent control and grain quality safety detection, and particularly discloses a data analysis-based intelligent control system for a grain detection laboratory. The intelligent control system for the grain detection laboratory comprises a single grain conveying device, a hyperspectral imaging unit, a medical image analysis and processing unit, a data fusion and intelligent discrimination server and a non-destructive grading execution mechanism, through single-grain gradual inspection, hyperspectral three-dimensional imaging and medical image segmentation model fusion analysis, accurate identification of insect-eaten, mildew and toxin-enriched areas is realized, and lossless classification is performed according to a multi-dimensional quality portrait. By adopting the technical scheme, the internal and external characteristics of the grains can be synchronously obtained on the non-destructive premise, the judgment precision and the detection efficiency of early deterioration risks are improved, and an intelligent and traceable clinical diagnosis means is provided for the quality safety of the grains.

The application relates to the technical field of grain reserve management, and discloses a kind of intelligent supervision method and system of grain reserve warehouse, method includes: obtaining the historical data of each sensor from storage unit, constructs grain quality prediction model, trains grain quality prediction model based on historical data, collects the data of each sensor in granary as first data, inputs first data into grain quality prediction model, obtains first prediction result, based on first prediction result, environmental regulation unit adjusts the environment of granary and / or logistics scheduling unit schedules the in and out of grain.Based on first preset period, the data of each sensor is collected again as second data, the difference between second prediction result and first prediction result is compared, the environment of granary is readjusted by environmental regulation unit and / or the in and out of grain is rescheduled by logistics scheduling unit, the application realizes the intelligent management of grain reserve warehouse, and improves the security of grain storage.

The utility model belongs to the technical field of unprocessed grain quality detection, and particularly discloses unprocessed grain detecting and screening equipment which comprises a screening module, a weighing module and a weighing module, the screening module comprises a spin vibration screen, a net sample flow guide pipe and an impurity flow guide pipe, and the spin vibration screen conveys screened net samples and impurities to the weighing module through the net sample flow guide pipe and the impurity flow guide pipe respectively; the weighing module is used for weighing the weight of the impurities and the weight of the net sample respectively; and the net sample dust removal module is connected with the net sample flow guide pipe and is used for removing dust from the net sample. Light impurities such as dust and wheat husks in the net sample are sucked away through the net sample dust removal module, and then the problem that the detection result of the net sample is affected is avoided.