100results about How to "Simple result" patented technology

The invention discloses a regional risk prediction method and system based on toxic gas diffusion analysis, and provides a regional risk prediction method based on toxic gas diffusion analysis on the basis of source item traceability prediction of a leakage source. The content of the invention mainly relates to development and improvement of a gas diffusion model, data acquisition and processing, construction of a risk prediction model, uncertainty analysis, research of an emergency response strategy, case analysis and verification and system integration and demonstration application, and through comprehensive consideration of factors such as gas properties, meteorological conditions and topographic features, prediction accuracy is improved, and the risk of the gas diffusion model is predicted. Scientific basis is provided for risk management, and practicability and popularization of the prediction system are finally realized.

The invention relates to the technical field of flow batteries, in particular to a flow battery flow field uniformity detection device and a detection method, and the flow battery flow field uniformity detection device comprises a visual flow field assembly, a constant temperature water tank, a circulating pump, a pressure gauge, a thermal imager and a connecting pipeline. The visual flow field assembly, the constant-temperature water tank, the circulating pump and the pressure gauge are connected through connecting pipelines, the shooting range of the thermal imager covers the whole visual flow field area, and the temperature change of the flow field area along with time is recorded. According to the invention, the temperature change rate of the fluid at the outlet is controlled by adjusting the heating power of the water tank, and when the fluid passes through the flow channel of the electrode frame, a relatively large temperature gradient is ensured in the flow channel range of the whole visual flow field assembly. And calculating a temperature deviation value to evaluate the fluid uniformity according to the linear relationship between the temperature difference and the speed difference.

The invention discloses a nondestructive testing method for an internal pore structure of foam light soil, which is characterized by comprising the following steps of: 1, taking a cube foam light soil test piece with the side length of 40mm, placing the maintained test piece on a sample table, scanning around the test piece for a circle by using an X-CT (X-ray computed tomography) scanner, enabling X-rays to penetrate through different layers of the test piece, the detector receives attenuated information of different layers, the information is converted through software and then input into a computer for reconstruction, and a gray level image is obtained; and 2, Image-ProPlus analysis software is adopted to process the gray level image, a threshold value of the gray level image is automatically identified, a WatershedSplit algorithm of the Image-ProPlus analysis software is utilized to segment the automatically identified gray level image again, and then binarization processing is carried out on the segmented image. The method can realize nondestructive testing of the internal porosity, pore size distribution, pore shape factor and average pore size of the foam light soil, and is simple and convenient to operate, accurate in data, visual in result and high in practicability.

The invention discloses a method for detecting and identifying a traditional Chinese medicine evodia base based on electronic nose smell, and belongs to the technical field of traditional Chinese medicinal materials and quality analysis and detection. To-be-detected powder is injected through a headspace sample injection bottle and detected through an electronic nose, a sensor response value is obtained, W1S serves as a differential sensor, W6S serves as a reference sensor, and the basis of the traditional Chinese medicine fructus evodiae is determined according to the ratio of the W1S response value to the W6S response value; when the response value ratio of the W1S to the W6S is 2.4-3.1, the product is evodia rutaecarpa, when the response value ratio of the W1S to the W6S is 3.5-5.2, the product is botrytis chinensis, and when the response value ratio of the W1S to the W6S is 5.8-6.5, the product is evodia rutaecarpa. The method for detecting and identifying the traditional Chinese medicine evodia base on the basis of the electronic nose smell, provided by the invention, has the advantages of rapidness, no damage, no need of complex sample pretreatment, simplicity, environmental protection, low detection cost and visual result, and is suitable for rapidly, objectively and accurately judging the traditional Chinese medicine evodia base in batches.

The invention discloses a thermopile detector and a spectrum detector, relates to the technical field of spectrum detection, and provides a high-precision, high-performance, real-time and low-cost spectrum detection technical scheme. The thermopile detector comprises a substrate structure, a thermoelectric conversion structure and a phase change metamaterial structure, the thermoelectric conversion structure comprises a micro-heating structure and a thermocouple structure, the thermocouple structure is arranged on the substrate structure, the micro-heating structure is arranged above the thermocouple structure, and the phase change metamaterial structure is arranged above the micro-heating structure. The phase change metamaterial structure is used for absorbing light in a target wavelength range under the regulation and control of the micro-heating structure, converting the absorbed light energy into heat energy and transmitting the heat energy to the thermocouple structure, and the thermocouple structure is used for sensing first heat energy output by the micro-heating structure and second heat energy output by the phase change metamaterial structure; and the first heat energy and the second heat energy are converted into electric energy to be output.

The invention provides a method and device for detecting a melting layer in cloud, electronic equipment and a storage medium, and belongs to the technical field of remote sensing image processing, and the method comprises the steps: obtaining a melting layer probability value, judged in each distance library, between each radar observation profile of a to-be-observed region and a profile template; and calculating the melting layer probability values corresponding to all the distance libraries in each radar observation profile, determining whether the melting layer in the cloud exists in the to-be-observed area, and outputting the height of the melting layer in the cloud. According to the method and the device for detecting the melting layer in the cloud, the electronic equipment and the storage medium provided by the invention, the non-dimensionalized radar observation profile including the reflectivity factor template and the Doppler velocity template is used for matching the observed radar observation profile, so that the probability that the melting layer appears in each distance library is calculated; and empirical parameters are not needed, and a temperature profile or a 0 DEG C layer height is not needed, so that the independence of radar identification of a melting layer and the reliability of actual operation are enhanced. The calculation mode is simple and the result is visual.

The invention relates to a method for quantitatively monitoring the pollution degree of groundwater. The method comprises the steps of near-infrared hyperspectral imaging, construction of a prediction model and fitting of a prediction function. The invention further provides a groundwater analysis system and application of the method. According to the method, a hyperspectral imaging technology is adopted to shoot a mixed sample of organic pollutants and water, key features of a sample image are obtained by combining an image preprocessing technology and a feature extraction technology, the sample features with remarkable performance are used as training data, and a machine learning algorithm is applied to obtain training data; the model can accurately predict the water-oil volume ratio in a sample, and meanwhile, provides spatial distribution of the organic pollutants in the environment, so that an efficient and innovative solution is provided for quantitative analysis of the organic pollutants.

The invention provides a primer group for identifying coilia ectenes, coilia brachygnathus and hybrids thereof, a detection method, a kit and application, and belongs to the technical field of molecular marker identification. In order to overcome the defects that morphological differences of coilia ectenes, coilia brachygnathus and hybrid adults are not obvious and the like, a primer pair A or a primer pair B is designed for gene amplification, and the coilia ectenes, the coilia brachygnathus and the hybrid adults are identified by comparing sequence differences after amplification. The sequences of amplification products of the coilia ectenes, the coilia brachygnathus and the hybrids have obvious differences, the types of the amplification products can be classified through molecular markers, and the reaction result is directly visualized in the form of a gel electrophoretogram without a sequencing means. The method is simple to operate, intuitive in result, low in requirement on experimental equipment and low in cost, and all work can be completed within several hours without statistics. According to the invention, the hybrid can be identified through a sequencing peak map, and compared with an SNP site identification type, the difference is more obvious, the statistical frequency is not needed, and the accuracy is high.

The invention discloses a kit for detecting HLA-B27 and a detection method. The kit for detecting HLA-B27 comprises a PCR (Polymerase Chain Reaction) solution, a primer probe mixed solution, a positive reference substance and a negative reference substance, the primer probe mixed solution comprises an upstream primer 1F, a downstream primer 1R and a probe 1P for detecting the HLA-B27, and an upstream primer 2F, a downstream primer 2R and a probe 2P for detecting a reference gene. A fluorescent PCR-melting curve method is adopted, sequence alignment is carried out according to an NCBI database, primers and probes which are high in specificity and capable of simultaneously detecting main subtypes (HLA-B27: 02, HLA-B27: 04, HLA-B27: 05, HLA-B27: 06, HLA-B27: 07 and HLA-B27: 24) of the HLA-B27 are selected, and compatibility detection of different subtypes of the HLA-B27 can be achieved through a pair of primers and a probe. The Tm value in the melting curve instead of the Ct value of the amplification curve is adopted for result judgment, qualitative accuracy is achieved, and the result is visual and easy to interpret.

The invention discloses a roof productive transformation layout scheme generation and optimization method. The method comprises the following steps: step 1, establishing a block 3D model; 2, picking up a block geometric model and a selected transformation roof; 3, simulating a physical environment, and screening a suitable roof; 4, calculating the annual average yield per unit area of each suitable roof when different production strategies are applied; step 5, calculating cost benefit coefficients Selfk when different strategies are applied, step 6, inputting the cost benefit coefficients into a multi-objective optimization module according to a selection sequence to obtain an optimal configuration scheme of the roof reconstruction strategy, namely Fmax, Emax and Costmin in the optimal configuration scheme; and step 7, generating a resource index, an economic index and an environment index of each configuration scheme by the multi-dimensional evaluation calculation model to serve as decision support for optimizing the configuration scheme. According to the invention, comprehensive, rapid and accurate decision support can be provided for roof reconstruction.

The invention discloses a method for rapid broad-spectrum detection of salmonella, and relates to the technical field of bacterial detection. Comprising the following steps: (1) preparing a labeled SERS probe; (2) preparing a Fe3O4 (at) Au (at) Ag magnetic composite material; (3) combining Fe3O4 (at) Au (at) AgNPs with Ag (at) 4MBA (at) AuNPs to construct an aptamer sensor; and (4) carrying out SERS detection on the salmonella. According to the novel surface enhanced Raman scattering (SERS) aptamer sensor constructed on the basis of noble metal nanoparticles and a magnetic composite material, according to the inverse proportion relation that the higher the salmonella concentration is, the weaker the Raman signal is generated according to the principle of a competition law, the ultrasensitive rapid field detection is carried out on different salmonella.

The invention relates to an enterprise intelligent analysis response method and device based on a large model, computer equipment, a computer readable storage medium and a computer program product. The method comprises the steps of receiving data processing demand information input by a user through a natural language in response to an interactive operation of the user on a large model; analyzing the data processing demand information through a large model, and extracting to obtain a target variable and a target parameter; the target variable is used for describing data attribute information, and the target parameter is used for describing data range information and processing mode information; according to the target variable and the target parameter, calling a pre-packaged ant script to obtain a data processing result corresponding to the data processing demand information; and displaying a data processing result through the large model. By adopting the method, the enterprise data analysis efficiency can be improved.

The invention relates to a communication fault monitoring and passive meter reading system and method based on an electric meter communication module. The method comprises the following steps: step 1, inserting a pin header at an interface of an intelligent electric meter and a communication module, and leading out weak current terminals of the intelligent electric meter and the communication module to an adapter plate; 2, connecting the isolation boosting device 1 to the adapter plate, and supplying power by using an isolation power supply; step 3, switching communication signals RXD and TXD led out from a carrier line communication port to a voltage boosting chip; 4, connecting the boosted communication port to an HPLC carrier communication port and a TTL communication port in parallel; step 5, supplying nominal voltage to the intelligent electric meter, enabling the simulation master station to communicate with the intelligent electric meter, monitoring communication data by a TTL module through a common serial port, and recording the data to a memory; and step 6, performing continuous communication on the carrier module and the TTL module through the communication upper computer, observing a communication result, and performing judgment and data analysis.

The invention relates to a method for identifying lysimachia christinae hance and desmodium styracifolium, in particular to a method for simultaneously and rapidly identifying the lysimachia christinae hance and the desmodium styracifolium, and aims to solve the problems that the desmodium styracifolium and the desmodium styracifolium are easy to confuse and have many similarities in the aspects of characters, microscopic characteristics and the like, the character identification and microscopic identification processes are complicated and are not easy to observe, and the Therefore, the method is difficult to distinguish from characters and microscopes, and is not easy to operate. A liquid phase content detection and identification method is high in cost and long in time; in order to overcome the defects of difficulty in operation, tedious and complicated process and unstable detection result by adopting a thin-layer identification method, the method for simultaneously and quickly identifying the lysimachia christinae hance and the desmodium styracifolium comprises the steps of ultrasonic extraction, thin-layer sample application, developing by utilizing a developing solvent, developing and inspecting, and the lysimachia christinae hance and the desmodium styracifolium are directly identified and distinguished. Used materials are convenient to obtain, the process is simple, and the efficiency of thin-layer identification is effectively improved.

The application discloses a Chinese pear psylla MIRA-CRISPR / Cas12a detection kit and method, and belongs to the technical field of rapid detection of pest resistance. In view of the target resistance mutation (GluCl gene V267I site) of Chinese pear psylla to abamectin, the application first combines the CRISPR / Cas12a system with the MIRA isothermal amplification technology, and establishes a visual detection system with high specificity and high sensitivity. The kit comprises MIRA amplification primers, specific crRNA, Cas12a protease and a fluorescent reporter probe. During detection, only a single head of pear psylla sample is needed, after rapid DNA extraction, MIRA amplification and CRISPR cutting reaction are carried out under the condition of constant temperature of 37 DEG C, the total time consumption is not more than 1 hour, and the result is directly visually judged by a portable blue light lamp (green fluorescence is displayed for a positive sample). The application is simple in operation, does not need large instruments, and the result is intuitive, so that real-time monitoring of the abamectin resistance of Chinese pear psylla in the field can be realized, and technical support is provided for scientific rotation of drugs and precise prevention and control.

The present invention discloses a primer-probe combination, method and application for rapid detection of sweetfish larvae by RPA-LFD, belonging to the field of biotechnology. The primer-probe combination consists of an upstream primer with a sequence as shown in SEQ ID NO.3, a downstream primer with a sequence as shown in SEQ ID NO.4 and a probe with a sequence as shown in SEQ ID NO.7. The RPA-LFD detection method for sweetfish larvae established based on the primer-probe combination has the advantages of high sensitivity, good specificity, simple operation, and visualized results. It can accurately detect sweetfish larvae and effectively reduce the economic losses caused by sweetfish larvae disease. The RPA-LFD rapid detection method for sweetfish larvae provided by the present invention does not require special instruments, has simple sample processing, rapid amplification, and intuitive results. The minimum detection limit of the sample can reach 9.38×10 ‑6 ng / μL, 1000 times higher than traditional PCR methods.

The embodiment of the invention provides a low-complexity signal adaptive detection method and system based on an FPGA, and the method comprises the steps: obtaining a signal envelope which comprises a plurality of data samples; performing amplitude multi-point smoothing processing on the signal envelope to obtain a to-be-judged signal comprising a plurality of judgment samples; obtaining an adaptive threshold value based on the data sample; sequentially comparing the judgment samples with the self-adaptive threshold value; when M continuous judgment samples in the to-be-judged signal are greater than the adaptive threshold values corresponding to the judgment samples, outputting a high-level detection mark; and when N continuous judgment samples in the to-be-judged signal are smaller than the adaptive threshold values corresponding to the judgment samples, outputting a low-level detection mark. Amplitude multi-point smoothing processing is firstly carried out on a signal envelope, then rising edge pulse judgment and falling edge pulse judgment are respectively carried out by adopting multi-data-point accumulation (M-N method), and a relatively high correct judgment probability can also be achieved when the signal-to-noise ratio is relatively low.

The invention discloses a map real-time construction and rescue path dynamic planning system oriented to a fire dense smoke scene, and relates to the technical field of fire rescue. The system comprises a data acquisition and processing module, an environment modeling and path construction module and a post-processing module, based on millimeter wave radar, laser radar and motion sensor data, multi-modal information is obtained, synchronized and converted, a semantic segmentation model is utilized to analyze environment perception data to generate a feasible space, and laser radar point cloud and motion sensor data are fused to realize real-time positioning, map construction and rescue path planning in a fire scene. The path is updated in real time according to fire scene environment change, and a generated result is visually presented through a post-processing module and communicates with a command platform for real-time interaction. The system has the advantages of long-distance sensing of the millimeter wave radar and short-distance high precision of the laser radar, can realize quasi-real-time and high-precision fire scene environment modeling and dynamic path generation, and provides reliable path reference for rapid action decision in fire rescue.

The present invention discloses a method and system for identifying and locating underground pipeline damage based on a feature hierarchy model, and the method includes: S1, arranging a plurality of Raspberry Pi ultrasonic detectors along the direction of the underground pipeline, and constructing ultrasonic pipe wall damage sample data containing labels; S2, constructing a sample feature hierarchy label learning model to extract features from the ultrasonic pipe wall damage sample data to obtain a label feature vector and a weight coefficient vector through an attention mechanism module; S3, relying on the Raspberry Pi ultrasonic detectors arranged on the underground pipeline wall to collect underground pipeline data at the sampling point, input the sample feature hierarchy label learning model, and output the damage identification result, and use the ultrasonic detector to calculate the location information of the sampling point and store it in association with the damage identification result, and filter and output it. The present invention realizes the output of the sampling point positioning position information and the sampling point damage identification association data, which is convenient for management personnel to efficiently record and maintain work.

The invention relates to a device and method for measuring the torsional moment of a helicopter tension-torsion bar, and the device comprises a mounting seat, a supporting region is formed at the upper part of the mounting seat, the supporting region is provided with a middle support located in the middle and side supports symmetrically arranged at the two sides, and the middle support limits the Z-direction freedom degree of the tension-torsion bar; the torsion part is rotationally connected with the corresponding side part support, the rotation angle a is the torsion angle of the loading force, and the torsion part fixes the two ends of the tension-torsion strip, is integrated with the tension-torsion strip and limits the X-direction freedom degree and the Y-direction freedom degree of the tension-torsion strip; a rotating hole of the torque wrench is pre-formed in the torsion part; and the locking part locks the torsion part and the side support, and the torque wrench rotates to directly measure the torsion moment of the corresponding torsion angle. The device can directly measure the torsion moment of the tension and torsion bar without complex calculation, measurement is easy and convenient, a result is easier to obtain, and compared with an indirect measurement method, the measurement method is easy to operate, visual in result, low in cost, small in needed manpower and good in economical efficiency.

The invention belongs to the field of biomedicine, and relates to a primer-probe group for detecting deafness genes and application of the primer-probe group. The primer-probe group for detecting the deafness gene comprises the following steps: detecting GJB3 538Cgt; the method comprises the following steps: detecting GJB2 109Ggt by using a primer-probe combination A for detecting T mutation; a mutation primer-probe combination B is used for detecting GJB2 IVS1 + 1Ggt; the kit comprises a primer-probe combination A for detecting GJB2 mutation, a primer-probe combination C for detecting A mutation, a primer-probe combination D for detecting GJB2 235 mutation, a primer-probe combination E for detecting GJB2 299-300 mutation and a primer-probe combination F for detecting GJB2 176-191 mutation. The kit provided by the invention only needs to carry out once PCR reaction, and has the advantages of high specificity, low cost and intuitive and easily interpreted result.

The invention provides a go / no-go gauge inspection tool for a tapered mouth with comprehensive dimensions and an inspection method thereof, belonging to the technical field of synchronizer friction cone ring inspection, comprising a go / no-go gauge, a core shaft, a positioning cone and an inspection platform; a first through hole is arranged on the inspection platform, one end of the core shaft passes through the first through hole, and the other end is connected to the inspection platform; the positioning cone is a cone ring structure, located above the inspection platform and coaxially connected to the core shaft, the taper of the positioning cone is the same as the taper of a standard friction cone ring, when in use, the go / no-go gauge detects the spacing between the lower end face of the friction cone ring to be tested and the upper end face on the inspection platform, the friction cone ring is positioned by the positioning cone, and the go / no-go gauge is used to inspect whether the tapered mouth size of the friction cone ring is qualified, the inspection result is accurate, the structure is simple, the cost is low, and the tool is suitable for use in mass production.

The utility model relates to white fungus cleaning equipment which comprises a shell, a heating device installed on the inner side of the shell, an inner frame installed on the inner side of the shell, a driving shaft rotationally connected to the right end of the shell, a motor fixedly connected to the rear end of the driving shaft, a driving roller fixedly connected to the outer side of the driving shaft and a motor fixedly connected to the rear end of the shell. The left end of the inner frame is rotationally connected with a driven roller, the driving roller and the driven roller are connected through a conveying mesh belt, the right end of the shell is fixedly connected with a drainage pipe, the drainage pipe is connected with a filter, the filter is connected with a water outlet pipe, and a water outlet hole of the water outlet pipe is located above the conveying mesh belt. The filter can filter sewage, recycling is more environmentally friendly, the water outlet pipe can wash tremella, water is heated through the heating device, the tremella is turned over through boiling of the water, the tremella cleaning effect is better, and damage to the tremella is small.

The utility model belongs to deck chair technical field, especially relates to a support foot linkage of folding deck chair and support mechanism, including bed body and be used for supporting the support frame of bed body, the bed body includes the seat frame and backrest that can be relatively folded, and the support frame is arranged on the seat frame, and the support foot is rotationally arranged on the backrest, and the transmission connecting rod is between the support foot and the seat frame, and the transmission connecting rod is rotationally connected with the support foot and the seat frame respectively, the backrest is controlled and is unfolded with the seat frame, and the transmission connecting rod can drive the support foot and the backrest to unfold oppositely, thereby making the support foot can support the backrest, the backrest is controlled and is folded with the seat frame, and the transmission connecting rod can drive the support foot and the backrest to fold oppositely and draw together, the transmission connecting rod is telescopic link, or, a plurality of installation sites are set up on the transmission connecting rod and are connected with the support foot and the seat frame, the utility model's purpose lies in providing a support foot linkage of folding deck chair and support mechanism that is stable in structure and is convenient to store and transport.

This utility model discloses a test device for oil injection cooling of engine pistons, belonging to the field of engine technology. It includes a test bench, on the upper surface of which are fixedly mounted two fixed plates, a cooling oil storage cylinder, a cooling oil return cylinder, and a simulated cylinder. A simulated crankshaft is rotatably mounted between the two fixed plates. A motor is fixedly mounted on the side of one of the fixed plates, and the output shaft of the motor is fixedly connected to one end of the simulated crankshaft. Several hinge plates are rotatably mounted on the outer surface of the simulated crankshaft. A mounting seat is rotatably mounted on the end of each hinge plate away from the simulated crankshaft, and a sliding column is detachably mounted on the mounting seat. By setting the mounting seat and sliding column for detachable connection, the piston can be disassembled and replaced in conjunction with a top cover plate. This allows for oil injection cooling tests on pistons made of different materials under the same environment, improving test diversity, facilitating operation and adjustment, and providing simple results.

The invention belongs to the technical field of shale oil and gas development, and discloses a shale oil-gas-bearing potential multi-parameter collaborative evaluation method. The method integrates six experimental technologies of nitrogen adsorption, carbon dioxide adsorption, carbon and oxygen isotope, rock pyrolysis and XRD total rock / clay analysis, and comprises the core steps of obtaining multi-dimensional data such as a pore structure, mineral composition, organic matter characteristics, an isotope ratio and the like after standardized pretreatment of a shale sample, and performing parameter correction, weight distribution and collaborative modeling to obtain a shale sample. And quantifying the oil-gas potential index and grading. The method solves the problem that traditional single parameter evaluation is insufficient in accuracy, data are comprehensive and reliable, and key technical support is provided for shale oil and gas exploration and development and reservoir evaluation.

The utility model relates to a touch screen test box for testing a sensor, which comprises a top cover, a touch display screen, a master control PCB (Printed Circuit Board) and a bottom box, the master control PCB comprises a power interface used for supplying power to and charging the touch screen test box, a USB interface used for communicating with an external PC host, a DUT interface used for being in butt joint with the DUT test module, a touch display screen interface used for being electrically connected with the touch display screen, a master control chip unit used for core master control, and a buzzing alarm unit used for sound prompt. The power supply control unit is used for supplying power. According to the utility model, an independent design is adopted, functional operation, a communication interface and a power supply module are integrated into an integral test box system, the integral size can be held by a single hand, the test box is convenient to carry, and a rechargeable lithium battery is integrated, so that a required working power supply can be provided for the touch screen test box and the DUT test module; and off-line test work is realized.

The invention discloses a haplotype molecular marker related to cotton fiber strength and application of a detection primer of the haplotype molecular marker, and relates to the technical field of plant molecular biology and genetic breeding. The haplotype molecular marker is located in 112, 985, 431-112, 990 and 059bp regions of A06 chromosome of a cotton reference genome, a haplotype block is formed by nine closely linked SNP (Single Nucleotide Polymorphism) sites, the incidence relation between three haplotypes Hap1, Hap2 and Hap3 in the block and fiber strength is defined, and a new molecular target is provided for cotton fiber quality breeding. Compared with a single SNP marker, the haplotype molecular marker provided by the invention has higher stability and phenotype prediction accuracy under a complex genetic background. Genetic typing can be carried out in the cotton seedling stage based on the marker, fiber maturation does not need to be waited, the breeding period is greatly shortened, and the field screening cost is reduced.

The utility model discloses a hydrogen fuel cell carbon paper deformation detection device which comprises a universal testing machine, an experiment pressing block, an experiment cushion block, a polar plate carbon paper stacking structure, a video extensometer, a concentrated light source and a microscope, the polar plate carbon paper stacking structure is arranged between the experiment pressing block and the experiment cushion block, and the universal experiment machine is configured to provide continuously changing packaging force and uniformly transmit the packaging force to the polar plate carbon paper stacking structure through the experiment pressing block and the experiment cushion block, namely, the mechanical environment of carbon paper in a galvanic pile is simulated; the concentrated light source is configured to provide brightness, and the video extensometer and the microscope are configured to observe the form change of the carbon paper in the polar plate carbon paper stacking structure after continuous stress. The device simulates the in-pile mechanical environment through the universal testing machine, and directly observes the real form change of the carbon paper in the flow channel through the optical detection technology, thereby being beneficial to improving the cognition on the internal structure of the electric pile and guiding the design of the electric pile.

This invention discloses a small-scale medical and domestic waste treatment device specifically designed for epidemic prevention and control. It includes a furnace body with a hoist on one side for conveying materials into the boiler. The boiler's interior is divided into a water storage chamber and a combustion chamber by a partition. The upper end of the water storage chamber is sealed by an end cover with a heat-extraction conductor and a fan compartment. The fan compartment transfers heat from the water storage chamber to the hoist, drying the medical waste inside the hoist and facilitating complete combustion upon entry into the furnace. This achieves comprehensive energy utilization and ensures more thorough combustion of the medical waste.