117results about How to "Realize computing" patented technology

The invention belongs to but is not limited to the technical field of three-dimensional space dose visualization, and discloses a three-dimensional nuclear emergency radiation field calculation and visualization method and system, based on a point nuclear method, a cumulative factor, mass attenuation factor and flux rate-dose rate conversion factor database is established, a mean free path solving algorithm is optimized, and a three-dimensional nuclear emergency radiation field is obtained. The geometric types of radioactive sources are expanded, and the dose calculation efficiency is improved through parallel calculation; plane dose rate drawing at a certain height is realized based on a two-dimensional texture mapping method; three-dimensional space dose rate contour surface drawing is realized based on a moving cube algorithm; and three-dimensional space dose rate volume rendering is realized based on a three-dimensional texture volume rendering technology. Radiation field dose calculation, three-dimensional radiation field dose visualization and GIS are integrated, and the system is used as a subsystem of a nuclear emergency aid decision simulation platform. The dose distribution diagram in the area can be judged more visually, and the method has a good help effect on nuclear emergency command.

The invention discloses a multi-mechanism attribute-based encryption algorithm based on creditworthiness consensus and zero-knowledge proof, and relates to the field of blockchains. On the basis of traditional attribute-based encryption, creditworthiness evaluation is introduced, a decentralized trust model is established for evaluating and selecting trusted nodes, and the reliability of the algorithm is improved. According to the method and the system, the data can be shared and accessed in a credible environment, zero-knowledge proof is used for verifying the correctness and integrity of the data, specific data values or other sensitive information are not leaked, and the reliability of the data is improved by combining credibility consensus and the zero-knowledge proof technology. And an innovative and efficient solution is provided for data security sharing in a multi-mechanism environment.

The invention provides a method and system for automatically calculating the number of loading buckets and the loading quantity, and relates to the technical field of equipment monitoring, and the method comprises the steps of 1, obtaining bucket excavation pilot pressure and bucket rod excavation pilot pressure, 2, obtaining movable arm rising pilot pressure, and triggering a camera to recognize the state of materials in a bucket when the pilot pressure accords with a threshold value; 3, the state recognition result of the materials in the bucket is obtained, if the recognition result is that the materials exist, the unloading pilot pressure of the bucket continues to be obtained, and when the threshold value is met, a camera is triggered to recognize the ore card and the state of the materials in the ore card; step 4, acquiring a mine card identification result, and when the identification result is that the mine card exists, counting the number of effective loading buckets; and step 5, obtaining a state identification result of the materials in the mine card, if the identification result is that no load is changed into full load, adding one to the effective loading quantity, and reading the remaining oil quantity after loading. According to the invention, automatic statistics of the loading bucket number and the loading quantity of the large mining excavator can be realized, and the accuracy is improved.

The invention provides an image enhancement system and method and a medium. The system comprises (N-1) row cache FIFO (First In First Out) which are connected in series, N row cache registers, a Demosaic module, a G component cache FIFO and a G component cache register. According to the invention, by reasonably controlling the read-write of the row cache FIFO and the register, at least five pixel points are output all the time under the condition that any number of pixel data is transmitted for each row of image data of each clock, so that the calculation requirement of the Demosaic algorithm is met. Under the condition of balancing and optimizing the combinational logic series to be executed in each clock period and the occupation of the total register, in the pipeline design of the Demosaic algorithm, the finiteness of hardware internal resources and the time sequence convergence problem of high clock frequency are fully considered, and by combining the combinational logic series optimization and the pipeline series optimization, the time sequence convergence problem of the high clock frequency is fully solved. In this way, better occupation of various resources of the FPGA is achieved, and efficient calculation is achieved. Based on the calculation strategy provided by the invention, the image enhancement process is finally realized, and the high-quality color display image is obtained.

The invention discloses an urban rainfall flood process simulation method combining road equivalent drainage and a trunk pipe network, and the method comprises the steps: obtaining the basic data of a research region, building a two-dimensional hydrodynamic model and a one-dimensional pipe network model based on the obtained data, and carrying out the Thiessen polygon partitioning of the research region, establishing a coupling relationship among the rainwater nodes, the earth surface grids and the Thiessen polygon partitions; calculating the rainfall and infiltration process of the research area to judge whether the rainwater node overflows or not, if overflow occurs, performing overflow calculation, if not, discharging the road rainwater in the Thiessen polygon partition corresponding to the rainwater node into the rainwater node, and performing data updating according to the calculation result until the set operation time is reached, and then performing data updating according to the calculation result. And outputting a rainfall flood simulation result of the research area. According to the method, the flood process calculation of the region lacking the urban fine pipe network data is realized, and the simulation precision and the simulation calculation efficiency of the pipe network drainage process of the region lacking the urban fine pipe network data are improved.

The invention discloses a method and a system for measuring carbon reserves from a single tree to a regional forest based on a hyperspectral image, which can effectively improve the precision and efficiency of forest carbon reserves, and the method comprises the following steps: obtaining hyperspectral data and field survey data; performing spectral feature analysis to determine a target tree species; extracting a crown breadth range of the crown based on a multi-scale segmentation algorithm of edge detection; based on the hyperspectral remote sensing data, classifying the target tree species by using a machine learning algorithm; selecting a tree species biomass equation based on the tree species category of the target area, and calculating the biomass of the overground part; based on the calculation result of the biomass equation and the carbon conversion coefficient, utilizing a deep learning algorithm to perform inversion of the aboveground carbon reserve of the target area; and on the basis of the above-ground carbon reserve inversion result, estimating the above-ground carbon reserve of the target area to obtain the above-ground carbon reserve spatial distribution of the vegetation in the target area.

The invention relates to a high-temporal-spatial-resolution weather radar beam propagation path inversion method, which belongs to the field of radar detection, and designs a more accurate temporal-spatial matching strategy by taking meteorological element data output by WRF as a background field and combining high-frequency radio sounding data. A neural network model capable of fully mining local and global spatial features of data is constructed, a long-time and short-time feature extraction and fusion model is constructed, efficient and accurate extraction of time and spatial features of different scales of meteorological elements is realized, an input data set time and spatial complexity calculation method is further designed, and the calculation efficiency is improved. The adaptive optimization selection of the convolution kernel is realized, the real-time performance of outputting high-temporal-spatial-resolution meteorological data based on the 3D temporal-spatial convolution model is greatly improved, the atmospheric refractive index model and the electromagnetic wave propagation path calculation model are introduced, and the inversion of the high-temporal-spatial-resolution and accurate weather radar beam propagation path is realized.

The invention discloses an environmental chemistry research automation system and method based on a large language model, and relates to the technical field of environmental chemistry automatic research. The environmental chemistry research automation system based on the large language model comprises a key information extraction module, a structure generation and optimization module, an experiment scheme generation module, an experiment management module and a visual editing module. According to the method, full-automatic workflow from experimental design to data analysis is achieved, the research efficiency and accuracy are remarkably improved, through the method, complex scientific problems can be converted into understandable input of a language model, complex analysis and reasoning processes are completed through the model, and a physical and chemical calculation tool is combined, so that the research efficiency is improved. According to the method and the system, comprehensive simulation and calculation of a research object are realized, the degree of human participation is effectively reduced, subjective deviation caused by human decision is reduced, and scientific research becomes more systematized and accurate.

The embodiment of the invention discloses a cross-graph database shortest path calculation method and device, electronic equipment and a medium. Obtaining a shortest path request of a user; the shortest path request comprises a starting node, a knowledge graph to which the starting node belongs, a termination node, a knowledge graph to which the termination node belongs and a maximum degree; judging whether the knowledge graph to which the starting node belongs and the knowledge graph to which the ending node belongs are stored in the same graph database or not; if not, acquiring a first sub-graph in the knowledge graph to which the starting node belongs according to the starting node and the maximum degree, and acquiring a second sub-graph in the knowledge graph to which the termination node belongs according to the termination node and the maximum degree; splicing the first sub-graph and the second sub-graph to obtain a target knowledge graph; and determining the shortest path according to the target knowledge graph and the maximum degree. According to the embodiment of the invention, the shortest path calculation of the cross-graph database is realized.

The invention provides an instance segmentation detection method and application based on improved YOLOv8s. The method comprises the following steps: collecting a to-be-segmented data set, preprocessing the to-be-segmented data set, constructing an improved YOLOv8s model, and training the preprocessed data set; the method is applied to target detection of images and / or videos, such as segmentation detection of second-phase particles of nickel-based superalloy. According to the improved model, an SPDConv layer and a small target detection layer are added, and an SIoU loss function is adopted, so that the small target detection performance of the model is greatly improved, and the omission ratio is reduced; second-phase particle dispersion calculation is updated and embedded into the second-phase particle identification process, batch detection is achieved, and indexes such as the average area fraction, the average number, the average size and the dispersion of the second-phase particles can be directly calculated; the model segmentation performance is good, the operation speed is high, the target detection process is opened, and the method can also be applied to other processes, intelligent recognition of macroscopic objects and online recognition and calculation of videos.

The invention provides a method for calculating the probability of uplink interference of a ground station on a low earth orbit satellite. The method comprises the following steps: carrying out interference scene modeling according to the positions and antenna models of the ground station and the satellite, the satellite orbit height, the lowest elevation angle of the ground station antenna and the sidelobe width; calculating the airspace interference probability and the time domain interference probability of the satellite subjected to the ground station according to the interference scene and the satellite parameters, and substituting the time domain interference probability and the airspace interference probability into an interference probability calculation model to calculate the joint interference probability of the satellite subjected to the ground station; and when the joint interference probability is not zero, calculating the interference power received by the satellite according to the link parameters, and multiplying the interference power by the joint interference probability to obtain a link interference-to-noise ratio result. According to the method, the probability that the satellite is interfered within a period of time is analyzed from the two dimensions of time domain and space domain, and when the joint interference probability is not zero, the interference ratio result can be calculated in combination with the probability value, so that the complexity of interference calculation is effectively reduced.

The invention relates to the technical field of database management, and discloses an SQL (Structured Query Language) statement detection method, device and equipment and a medium, the method comprises the following steps: obtaining a target SQL statement, and analyzing the target SQL statement to obtain statement fields corresponding to keywords in the target SQL statement; sorting and splicing statement contents in the statement fields according to a preset sorting dictionary to obtain field SQL (Structured Query Language) statements; updating sub-library and sub-table names in the field SQL statements into a target format to obtain updated SQL statements corresponding to the field SQL statements, and performing statement de-duplication on the updated SQL statements to obtain a de-duplication statement set; and performing similarity calculation on the de-duplication SQL statements in the traversed de-duplication statement set to obtain a statement similarity value, and determining a statement detection result according to the statement similarity value. According to the method and the device, the target SQL statement is detected, so that the recognition accuracy of the SQL statement is improved, compatible processing of sub-libraries and sub-tables is realized, and the detection efficiency of the SQL statement is improved.

According to the grouting engineering fracture connectivity evaluation method based on the fracture pipe network model, the fracture pipe network model is applied to fracture network connectivity evaluation of grouting engineering, the fracture pipe network model serves as the basis for calculating a connectivity function matrix, a weighting matrix is provided, the correlation among parameters such as fracture occurrence, trace length and number can be comprehensively considered, and the fracture connectivity evaluation accuracy is improved. And connectivity evaluation is carried out by utilizing the weighted connectivity function matrix, so that fracture connectivity evaluation is closer to engineering practice. Fracture trace length, occurrence, density and other factors are coupled to perform weighted analysis on a connectivity function matrix to assess connectivity, and compared with direct flow simulation, a fracture pipe network model (FPNM) is high in calculation efficiency; the method for converting the discrete fracture network model into the equivalent pipeline network model is an effective method for analyzing the connectivity and seepage characteristics of the three-dimensional disc-shaped fracture network.

According to the monitoring circuit and the monitoring method for the dynamic on-resistance of the GaN power device, constant drain current is injected when the GaN device is turned on, and the dynamic on-resistance is monitored by extracting drain-source voltage of the device. The measuring circuit comprises an isolation power supply unit, a conventional driving unit, a current output unit, a trigger unit, a sampling unit, an adjusting unit and a clamping circuit unit. When the DUT is in a high-voltage blocking state, the current output unit does not output current, and the clamping circuit unit outputs a protection low-voltage signal; when the DUT is switched on, the current output unit injects current into the DUT, and the clamping circuit unit reflects the switch-on voltage of the DUT, so that the dynamic switch-on resistance of the GaN device is obtained. The device has the advantages of simple structure, low design cost, high measurement precision and the like.

An oil-based mud electric imaging logging fracture opening degree calculation method comprises the steps of firstly determining response characteristics of oil-based mud electric imaging logging to various fractured stratums, then constructing a stratum multi-parameter calculation model, further constructing a fractured stratum multi-parameter image, then establishing a fracture recognition and image extraction processing method, and finally calculating the fracture opening degree of the oil-based mud electric imaging logging fracture opening degree. Finally, a fracture opening degree calculation method and model are established, the fracture opening degree can be calculated and evaluated based on electric imaging logging in the oil-based mud environment, stratum model evaluation and fracture stratum model evaluation are combined together, the respective functions of the stratum model evaluation and the fracture stratum model evaluation are highlighted, a mean value stratum model solves various necessary unknown parameters, and the evaluation accuracy is improved. A foundation is laid for crack opening degree calculation; in a homogeneous formation model and a fractured formation model, all possible multi-parameter combination measurement and calculation can be carried out, the application range is wide, and fracture parameter evaluation of various reservoirs is facilitated.

The invention discloses a water supply network abnormal data diagnosis method based on duration and support probability, and the method comprises the steps: calculating a local abnormal factor, quantitatively measuring the abnormality at each time point, and enabling the process of abnormality from start to end to be measured through an accumulation sum algorithm. By constructing a soft sensor, a sufficient reference sample is provided for a time sequence recorded by the sensor in real time from two aspects of time and space. By using the surplus samples, the calculation of the abnormal support rate is realized. And finally, distinguishing the fault of the sensor from the abnormal event of the water supply system by using the two indexes of the calculated abnormal duration and support rate.

The invention provides an array camera automatic focusing method and device and a medium, a micro stepping motor is arranged behind each camera module in an array camera, and the method comprises the following steps: the array camera and the micro stepping motors are respectively connected with a terminal device; controlling the micro stepping motor to rotate by alpha degrees from the initial position every time, obtaining a key frame of a video stream of the micro stepping motor, calculating a definition score of the key frame by adopting an image evaluation function, selecting a picture with the highest score in N pictures, recording a score value of the picture as a current highest score GK, and rotating the micro stepping motor to an angle corresponding to the GK as a current position; and then reducing the step, respectively taking one step from the left and right sides of the current position to calculate scores, taking the highest score point as the current position, continuing to reduce the step, taking the key frame in a pendulum or progressive manner according to the current position, and continuously adjusting the current optimal position until the key frame cannot rotate, thereby completing focusing. According to the invention, efficient, automatic and accurate focusing of the array camera can be realized, and combination of manual fine tuning is supported.

The invention belongs to the technical field of oil and gas exploration and development, and relates to an accident early warning method and system for an FPSO mooring system under an extreme weather condition, and the method comprises the steps: building an accident scene library according to extreme weather data; grading accidents in the accident scene library according to expert opinions; fusing the expert opinions through a fuzzy mathematical method to obtain the weight of each expert opinion; combining expert opinions with the weights to obtain an accident prediction result of the key nodes of the FPSO mooring system; and inputting the time-varying extreme weather condition data and the key node accident prediction result into a dynamic Bayesian network model to obtain an accident early warning result of the FPSO mooring system. Accident occurrence probability calculation and accident early warning of the whole mooring system, subsystems and equipment units under the extreme weather condition are achieved, and data support is provided for field emergency protection.

The present invention discloses a detection method for the moving speed of an array eddy current probe and a detection system device thereof, which are used to detect and calculate the displacement speed between the array eddy current probe and the detection object, and the eddy current detection probe has a plurality of identical eddy current sensor units arranged in an array, and includes two steps of detection signal image processing and moving speed calculation. The eddy current detection probe can calculate the displacement speed without adding an additional detection displacement sensor device, which is more conducive to the integration and simplification of the array eddy current detection sensor probe.

The invention discloses a high-performance function generator based on a BKM algorithm, relates to the technical field of function calculation circuits, and provides the scheme for solving the problem that the performance of a calculation circuit is insufficient in the prior art. Comprising an E / L-mode range reduction unit and an IBKM iteration unit which are sequentially driven by signals; the E / L mode range reduction unit selects an E mode or an L mode to perform range mapping on an input variable x according to a calculation mode signal M. The IBKM iteration unit executes an iteration process. And obtaining an iteration factor dk under the current iteration step in {-1, 0, 1} by comparing the current iteration value Ek with the corresponding dynamic demarcation points AEk and BEk or comparing the current iteration value Lk with the corresponding dynamic demarcation points ALk and BLk in the kth iteration, so that the current iteration results Lk + 1 and Ek + 1 converge to corresponding function values according to an iteration equation set # imgabs0 #. The method has the advantages of high calculation speed and precision and low complexity; the calculation range is wide, and the expandability is high; the hardware complexity is low, the cost is low and the utilization rate is high.

The invention discloses an intelligent monitoring method and system for a power transmission line and a medium, relates to the field of power transmission line monitoring, and solves the problem that the icing condition of the power transmission line cannot be accurately and efficiently monitored. The method comprises the following steps: collecting insulator string suspension data of an insulator string corresponding to the power transmission line and line state data of the power transmission line; according to the line state data of the power transmission line, calculating an environment influence pulling force corresponding to the insulator string; calculating an insulator string inclination angle of the corresponding insulator string according to the line state data corresponding to the power transmission line and the insulator string suspension data; analyzing the environmental influence tension of the insulator string and the inclination angle of the insulator string to obtain a line icing grade corresponding to the power transmission line; and the alarm terminal receives the line icing grade corresponding to the line icing grade, generates different alarms, and prompts a user of the icing degree of the power transmission line, so that accurate and efficient monitoring of the icing condition corresponding to the power transmission line is realized.

The invention discloses a workpiece attitude error compensation method and system based on a space angle and a TCSTRANS. According to the method, automatic sensing, seamless compensation and efficient machining of workpiece attitudes are achieved through the synergistic effect of three core technologies including automatic fitting of a space angle aligned by a laser plane, workpiece coordinate system correction of kernel translation and TCSTRANS characteristic coordinate system transformation supporting five-axis RTCP programming. An original machining program does not need to be modified, the operation complexity and the technical threshold are reduced, the machining precision, efficiency and process reliability are greatly improved, the method is particularly suitable for machining of a five-axis numerical control machine tool on precise workpieces, and the problems that in the prior art, manual experience is relied on, program management is disordered, and post-processing is complex are solved.

The invention discloses a power distribution network line loss reasonable interval calculation method considering distributed power supply access. The method comprises the following steps: a, extracting line loss influence factors of wiring from five dimensions of management, metering, technology, new energy access and environment dimension; b, determining the value of a clustering number k through an elbow method, and dividing the data of the five dimensions into k classes by means of a K-means clustering analysis algorithm; c, performing significance verification on the k types of data; d, respectively constructing multiple linear regression models for the k types of data; and e, based on a line loss rate prediction result, taking a 95% confidence interval as a line loss reasonable interval. According to the method, the influence of five factors of power distribution network management, metering, technology, new energy access and environment on the line loss is comprehensively considered, the multiple linear regression model is constructed through classification, the prediction of the line loss rate and the calculation of the reasonable line loss interval are realized, the economic operation of the power grid is favorably evaluated and optimized, and the calculation of the reasonable line loss interval is facilitated. And an important reference basis is provided for construction, transformation and management of a power grid.

The embodiment of the present application provides a tactile sensor and a method for manufacturing the same, which includes a thin film transistor and a pressure sensing component conductively connected to the thin film transistor; the pressure sensing component includes a first elastomer, a second elastomer and conductive particles located between the first elastomer and the second elastomer; the pressure sensing component senses a pressure signal through the first elastomer and the second elastomer, and converts the sensed pressure signal into an electrical signal; the thin film transistor includes a source, a drain and a gate, and the pressure sensing component transmits the electrical signal to the gate of the thin film transistor through the interface where the conductive particles are located; the source and drain of the thin film transistor are signal output terminals of the tactile sensor; in this way, the sensitivity of pressure sensing is guaranteed, and the calculation and storage of the sensing signal can be realized through the characteristics of the thin film transistor, thereby providing a technical basis for forming a multifunctional integrated tactile sensor.

The invention discloses a method for calculating short-circuit current of an alternating-current and direct-current hybrid power transmission system containing an MMC. The method comprises the following steps: establishing a model of the alternating-current and direct-current hybrid power transmission system; the model comprises detailed parameters and topological structures of an alternating current network, a direct current network and the MMC; an MMC fault model is decoupled and simplified into a current source, according to short-circuit fault type classification, MMC output short-circuit current calculation formulas of each classification are obtained by considering the internal inductance and capacitance of the MMC and dynamic characteristics of a control strategy of the MMC, and an overall fault model is constructed; a nodal analysis method is combined with a time domain simulation technology, and a solving equation of the short-circuit current of the AC / DC hybrid power transmission system containing the MMC is constructed. According to the method, the problem that a traditional short-circuit current calculation method is difficult to adapt to a complex current path in an MMC-containing system can be solved; the accuracy of short-circuit current calculation can be effectively improved, and a reliable basis is provided for fault protection of a system.

The present invention proposes a tactile redirection method for multiple physical agents based on agent importance. The method can select corresponding physical agents and physical agent placement positions for users to pick up virtual objects and place virtual objects in a virtual reality scene with multiple physical agents and multiple virtual objects. First, two scene parameters are defined: effective agent distance and reset area radius. Then, the agent importance is calculated based on the selected virtual object and the physical agent that is valid in the current scene state, and then the physical agent with the lowest agent importance is selected. Finally, the agent importance is calculated based on the selected virtual object placement position and the candidate physical agent placement positions and for all candidate physical agent placement positions, and then the position with the highest agent importance is selected as the placement position. The results show that this method can significantly reduce the number of resets required, the time to complete the interaction, and the hand movement distance in continuous redirection operations.

The application discloses a near-field equivalent method, a mask 3D near-field correction method and a storage medium. The optical near-field equivalent method comprises the following steps: setting a three-axis coordinate system, so that the initial propagation direction of a light source with a preset angle is propagated along a first axis, and an initial wave vector and a polarization direction are obtained; performing a rotation operation on the initial wave vector and the polarization direction according to the preset angle of the light source; analyzing the polarization direction and the polarization vector of the light source after the rotation operation; rotating the polygon and the light source according to the preset angle of the polygon, so that a new wave vector and a corresponding rotation angle are obtained; analyzing the polarization direction, the polarization vector and the component of the light source after the second rotation operation; generating an edge near-field under equivalent conditions by using a 2D strict electromagnetism algorithm; and performing linear superposition according to the respective components based on the polarization direction of the light source after the second rotation operation, so that an equivalent near-field result is obtained. The application reduces the calculation burden of near-field generation.

The invention provides an equipment distribution system deployment comparative analysis system, which comprises a distribution system calculation module, a deployment calculation module, an evaluation index calculation module and a deployment result visual display module, a traditional distribution calculation method and an intelligent optimization distribution calculation method are designed to complete weapon types and corresponding numbers required for cooperative combat tasks, comparison of multiple results can be achieved when multiple distribution calculation methods are adopted, distribution calculation results can be displayed in a graphical mode, and comparison is conducted through calculation results in multiple modes; a deployment calculation way of the deployment calculation module comprises a traditional deployment method and an optimization method, and deployment calculation is carried out by obtaining a deployment calculation result. According to the method, the data input format and content can be determined by quickly and reasonably generating the distribution deployment scheme of the air defense equipment as a starting point, so that the problems that the manual distribution time is long, the response is slow and only one scheme can be provided are solved, and the calculation of the pre-war equipment distribution deployment scheme can be quickly realized.

The invention relates to the technical field of integrated circuit design, in particular to a 10T1C-SRAM (10 T1C-Static Random Access Memory) memory calculation unit and a memory calculation circuit. According to the invention, four NMOS (N-channel metal oxide semiconductor) transistors N4-N7 and a capacitor C are additionally arranged on the basis of a classic 6T-SRAM, a new 10T1C-SRAM in-memory calculation unit is designed, data storage and read-write functions of the 6T-SRAM are inherited, and N4, N5, N6, N7 and C can be utilized to form a calculation part to realize in-memory AND calculation and in-memory XNOR calculation. On the basis of a newly designed 10T1C-SRAM in-memory calculation unit, an in-memory calculation circuit is constructed, in-memory 1b-AND MAC calculation and in-memory BNN calculation can be carried out, the functionality is high, and the flexibility is high.

This application discloses a method and apparatus for calculating the ohmic resistance of a planar solid oxide fuel cell stack, relating to the field of fuel cell and electrolysis device technology. The method includes: obtaining the geometric structural parameters, material conductivity parameters, and current collector structure parameters of a single cell in the planar solid oxide fuel cell stack; based on the current collector structure parameters, performing an equivalent reconstruction of the current conduction path in the electrodes to establish an equivalent current conduction model including the influence of the current collector path; based on the equivalent current conduction model, calculating the equivalent ohmic resistance of the single cell under operating conditions according to the geometric structural parameters and the material conductivity parameters; and using the equivalent ohmic resistance of the single cell as the ohmic resistance of the planar solid oxide fuel cell stack. This application can accurately calculate the ohmic resistance, improving the accuracy of stack structure optimization and performance analysis.