9results about How to "Eliminate human interference" patented technology

The invention provides a tin-based babbitt alloy metallographic structure quantitative analysis method based on Image J and Cellpose, which comprises the following steps: alloy metallographic preparation and image acquisition are carried out, Image J is used to carry out metallographic image preprocessing and image classification is carried out according to phase characteristics, Image J and Cellpose classification are combined to carry out alloy structure beta '-SnSb and e-Cu6Sn5 phase segmentation and characteristic parameter measurement on a picture, and a tin-based babbitt alloy metallographic structure quantitative analysis result is obtained. The method comprises the following steps of: obtaining geometrical characteristic parameters of a characteristic region phase, performing classifier iterative training by applying a Trainable Weka Segmentation plug-in of Image J software to realize segmentation of picture characteristics close to two phases, obtaining geometrical parameters of an e-Cu6Sn5 phase characteristic region, obtaining phase distribution uniformity parameters by adopting a grid area method and a Voronoi diagram method, and realizing quantitative expression of alloy metallographic structure uniformity. And finally, the number, the phase size, the phase fraction, the phase shape parameter and the phase distribution uniformity of the tin-based babbitt metal phases are obtained. According to the method, a complex programming process with an access threshold is avoided to carry out image segmentation processing, man-made interference is eliminated, geometric feature quantitative parameters of the alloy metallographic structure are obtained more intelligently, quickly and automatically, and the measurement efficiency and accuracy are improved.

The invention belongs to the technical field of rock detection, and particularly discloses a nondestructive determination method for rock damage degree in an acidic water environment and a storage medium. The determination method comprises the following steps: collecting a plurality of target rock samples, screening qualified rock samples by adopting an ultrasonic speed meter, and marking; dehydrating and drying the qualified rock sample, and measuring and recording the dry density rho 0 of the dehydrated and dried rock sample; extracting at least three dehydrated and dried rock samples, carrying out a compression test, and calculating an elastic modulus average value E0 and a Poisson's ratio average value v0; standing and soaking the dehydrated and dried rock samples in an acid solution; after the rock sample is soaked for a preset time, taking out the rock sample, cleaning the acid solution on the surface, then dehydrating and drying the soaked rock sample, and measuring the dry density rho t after erosion; and establishing a rock mass damage rate eta model by combining data before and after erosion. According to the method, the damage degree is comprehensively reflected by measuring the physical and mechanical parameter change of the rock sample, the rock sample does not need to be damaged, uncertain factors in the test process are eliminated, and the data processing amount is small.

The utility model provides a landing lamp test bed. The landing lamp test bed comprises a landing lamp assembly, an industrial all-in-one machine, a micro-processing unit, a magnetic powder brake and a timing circuit, the industrial all-in-one machine is configured to control the landing lamp assembly to execute preset operation; the micro-processing unit is configured to receive gear data issued by the industrial all-in-one machine; the magnetic powder brake is configured to apply a loading force corresponding to the gear data to the landing lamp assembly under the control of the micro-processing unit; the timing circuit is configured to indicate the starting time and the ending time of the landing lamp assembly in the process of executing the preset operation under the condition that the loading force is applied through the IO signal. According to the invention, man-machine interaction is realized by using the industrial all-in-one machine to trigger the application of the loading force and the control of the landing lamp assembly, the loading force based on the magnetic powder brake is realized by communicating with the micro-processing unit, and the starting time and the ending time of the landing lamp for executing the preset operation are accurately identified by using the timing circuit. And the automation and the accuracy of the landing lamp test are effectively improved.

The application provides a power transformation equipment fault tripping monitoring system, method, medium and program product, and relates to the technical field of power grid fault processing. The monitoring system comprises: a data acquisition system, configured to acquire system operation data of a power grid system; if it is detected that the system operation data contains alarm information of a target substation and position change information of a switch in the target substation, the alarm information and the position change information are sent to a tripping judgment system; the tripping judgment system is configured to determine whether there is an operation and maintenance record corresponding to a time stamp; if not, it is determined that the switch has failed tripping, and the time stamp and a target switch identifier of the switch are sent to a tripping analysis system; the tripping analysis system is configured to determine system operation data of the target substation within a first preset time length corresponding to the time stamp according to the target switch identifier, and generate a fault tripping report of the switch. The application improves data collection efficiency, automatically realizes research and judgment of fault tripping, and further improves fault troubleshooting efficiency and fault processing efficiency.

The present invention provides a pressure detection auxiliary device for water pressure test, which belongs to the field of valve water pressure test technology. It is used to solve the problem that it is cumbersome to repeatedly replace pressure gauges of different levels during water pressure test, which is easy to cause damage to the device. The present invention includes a cavity, a pressure measuring piston and N groups of pressure gauge groups. A variable-section piston cavity and a stepped variable-section spring cavity are arranged in the cavity. The variable-section piston cavity includes a main control ring cavity and N groups of ring cavities. The main control ring cavity is connected to the main control pipe. Each group of ring cavities is connected to the ring cavity interface pipe, a group of pressure gauge groups and a pressure relief pipe in turn. The pressure gauge group ranges are arranged in sequence. The variable-section spring cavity is built with N-1 annular spring baffles and N springs. The pressure measuring piston is provided with a number of pressure-bearing shoulders, and the ring cavity is between two adjacent pressure-bearing shoulders and the variable-section piston cavity. The present invention does not require repeated replacement of the pressure gauge, can automatically detect the pressure, and can also avoid damage to the detection device.

The invention relates to the technical field of crack and hydride recognition, in particular to a crack and hydride recognition method and system, equipment and a medium, and mainly comprises the steps of reading and obtaining a material tissue image; and carrying out image processing according to the input image, extracting a single crack and hydride analysis, extracting the tissue characteristics of the single crack and hydride, carrying out statistics on the overall information of the crack and hydride in the material, and outputting the overall information. According to the method, cracks and hydrides are screened, so that the image recognition speed and accuracy can be greatly improved, the statistics and recognition time of hydrides and cracks such as zirconium alloy and titanium alloy is greatly shortened, and the labor cost is reduced. And secondly, by using the determined standard crack and hydride identification standard, a determined tissue judgment mode can be established, and human interference in tissue identification is eliminated, so that the identification of cracks and oxides is more accurate.

The present disclosure relates to a dynamic evaluation method and device for the peak regulation and frequency modulation response capability of a battery swap station based on two-dimensional analysis. The method comprises: constructing a multi-working condition evaluation index system for the peak regulation and frequency modulation response capability of the battery swap station, setting evaluation grades and score thresholds according to the grid operation working condition; using a subjective and objective fusion weight distribution method to calculate the comprehensive weights of static dimension indexes and dynamic dimension indexes respectively, and fusing by the product normalization method; calculating the closeness score of the static dimension of the battery swap station; constructing a dynamic response capability evaluation model based on the grey correlation degree method to calculate the grey correlation degree score of the dynamic dimension of the battery swap station; weighting and fusing the static score and the dynamic score to obtain the comprehensive score of the peak regulation and frequency modulation response capability of the battery swap station, and judging whether it meets the standard and participates in the priority according to the preset threshold. The present disclosure constructs a benchmark sequence consistent with the grid dispatching rules for different evaluation working conditions of the dynamic dimension, and improves the accuracy of the grey correlation degree method in the dynamic dimension evaluation.

The embodiment of the invention provides a monitoring method and system for checking a protection setting value, and the method comprises the steps: master station equipment calls a correct setting value according to the designation of a worker on a work station, generates a first information code through employing a checking algorithm, generates a supervision code according to the checking algorithm, and substation equipment carries out the verification of the protection setting value according to the first information code and the supervision code. And generating a second information code by using a corresponding verification algorithm according to the constant value of the running state in the corresponding protection device, verifying the second information code and the first information code, and then informing the master station equipment of a verification result. According to the embodiment of the invention, the checking task in the specified time and region can be efficiently completed, the manpower, maintenance and overhaul cost is saved, and the management level of power grid equipment is improved. And constant value consistency comparison can be quickly carried out by utilizing a verification algorithm, so that the reliability of data transmission can be effectively improved, man-made interference of data is eliminated, data leakage and cheating are completely eradicated, and unnecessary equipment shutdown and reservice operations are reduced.

This invention discloses a method and system for selecting optimal crop rotation based on multi-omics networks, belonging to the field of smart agriculture technology. This invention solves the problems of traditional crop rotation assessment relying on discrete fertility indicators, resulting in lag and false negatives. Its core is to integrate multi-omics data on soil metagenomics, metabolomics, and physicochemical properties. After feature identifier standardization and hierarchical balanced feature selection, an ecological collaborative network including biotic and abiotic components is constructed. Modularity index and average path length are extracted as network topological fingerprints. Simultaneously, inter-group statistical tests are performed on soil physicochemical properties, and Cohen's d effect size is calculated. Finally, the optimal crop rotation pattern is determined through a dual evidence chain of superior network structure and a large fertility improvement effect size. This invention achieves a reliable correlation from soil micro-ecological state to macro-fertility phenotype, providing a standardized and repeatable intelligent screening process that can be widely applied to crop rotation scheme decision-making for sustainable farmland production.