10 results about "Test scale" patented technology

The invention discloses a solid state disk testing method and system based on a PCIe Switch chip, and relates to the technical field of solid state disk testing, and the method comprises the steps: expanding an uplink PCIe port of a testing host into a plurality of independent downlink PCIe ports through at least one PCIe Switch chip so as to connect a plurality of solid state disks; dynamically configuring a port connection relationship to form a flexibly reconfigurable logical topology; the independent control interface mapped to the target downlink port is operated to independently control the corresponding solid state disk to enter or exit the specified low-power-consumption state; and the connection state change is responded under the condition that the system is not powered off, and identification and configuration of the newly accessed solid state disk are completed. According to the method, single-machine test scale limitation is broken through through hardware extension, flexible scheduling of test resources is realized through dynamic topology reconstruction, single-disk-level accurate power consumption control is realized through an independent interface, and continuity and automation of a test process are guaranteed through hot plug support.

The invention specifically relates to a deep learning coupled layered rock mass structural plane parameter inversion method, and relates to the technical field of geotechnical engineering and artificial intelligence, and the method comprises the steps: deploying an initial system coupling a deep learning proxy model and a forward numerical simulator, cooperatively laying a monitoring network, and determining an engineering digital baseline and a model performance reference through initial inversion. According to the invention, the hybrid network architecture constructs the deep learning agent model, and the efficient coupling inversion engine is formed by combining the forward numerical simulator of secondary development, so that the problems that the traditional inversion method is low in efficiency and easy to fall into local optimum are solved; the model takes similar engineering cases and indoor rock mechanics test data as a training basis, constructs a digital baseline of global structural plane parameters for engineering, and effectively overcomes the defects of indoor test scale effect, limited field investigation range and the like of a traditional method.

A scaled-down equivalent model and testing method for shaking table tests of multi-span bridges are disclosed. The full-bridge model is simplified to a 1 / 4 structural equivalent model, and unidirectional spring constraints are applied at the boundaries of the non-scaled equivalent model. The stiffness is adjusted to match the main vibration modes and dynamic characteristics of the full-bridge model. Shaking table tests of multi-span bridges are achieved on a single shaking table, achieving the same results as a multi-shaking table array. The equivalent model meets the load and equipment functional limitations of a single shaking table. By testing the response of a single scaled-down equivalent model, the seismic response of the multi-span full bridge can be predicted. This invention simplifies the full-bridge model while ensuring data reliability. By studying the seismic response of the substructure under the full bridge through a single scaled-down equivalent model, tests that previously required a shaking table array can be completed on a single table, reducing the workload of model fabrication, improving testing efficiency, and lowering testing costs.

The present disclosure provides a wireless sensing signal processing method, a wireless sensing system, a wireless sensing algorithm scalability test method, a computer readable storage medium and an electronic device. The method comprises: obtaining channel state information (CSI) data from an antenna array; processing the CSI data to extract sensing features, wherein the processing comprises: calculating the CSI ratio between the preset antenna pairs to generate ratio feature data, the CSI ratio being the ratio between the CSI values of different receiving antennas corresponding to the same transmitting antenna; and determining the analysis result of the wireless sensing task based on the ratio feature data. The present disclosure avoids the bias of Doppler shift estimation, effectively reduces the influence of environmental noise and signal distortion, reduces the influence of environmental noise and signal distortion, and improves the accuracy and robustness of wireless sensing task recognition.

The invention relates to a reduced scale equivalent model for a multi-span bridge vibration table test and a test method, a full-bridge model is simplified into a 1 / 4 structure equivalent model, a one-way spring constraint is applied to the boundary of the non-reduced scale equivalent model, the rigidity is adjusted to match the main vibration mode dynamic characteristics of the full-bridge model, and the vibration table model test of a multi-span bridge is realized on a single table. The test effect reaches the effect of a multi-table array, the equivalent model can meet the load and equipment function limitation of a single vibration table, and the earthquake response of a multi-span full bridge is predicted by testing the response test of a single reduced scale equivalent model; according to the method, the full-bridge model is simplified while the data reliability is ensured, the response of the structure under the full bridge is researched through the seismic response of a single reduced scale equivalent model, the test which needs to be implemented on a vibration table array in the past can be completed on a single table, the workload of model manufacturing is reduced, the test efficiency is improved, and the test cost is reduced.

The invention discloses a large-scale rock mass mechanical parameter optimization method based on multi-scale test data, and relates to the technical field of parameter optimization. The method comprises the following steps: collecting test process data of multiple rock mass test scales, carrying out energy evolution analysis on the test process data to obtain a multi-scale abnormal path database, collecting energy path characteristic data of rock mass simulation engineering scales, and carrying out multi-characteristic correlation analysis to obtain rock mass test scale matching evaluation values of the rock mass simulation engineering scales; performing deviation discriminant analysis on the matching evaluation value of each rock mass test scale, processing to obtain energy path matching information of the rock mass simulation engineering scale, further performing path correction constraint on the mechanical parameter optimization process of the rock mass simulation engineering scale, performing path deviation analysis on the path correction constraint process to obtain a path deviation characteristic value, and determining the energy path matching information of the rock mass simulation engineering scale. And the associated rock mass mechanical parameters are updated and optimally configured according to the path offset characteristic values, so that the reliability and engineering safety of optimization of the rock mass mechanical parameters are improved.

The application relates to the technical field of information processing, in particular to a distributed bank system account following test method, device, equipment and medium, which are used for solving the problem that the test scale of software and hardware upgrading is limited at present. The method comprises the following steps: in response to a current transaction test request, obtaining a host request message and a host response message corresponding to the current transaction from a host bank system; based on a mapping relationship between fields of the host request message and fields of a distributed request message, converting the fields of the host request message into the fields of the distributed request message; sending the converted distributed request message to a distributed bank system in a request mode through application routing; after receiving a distributed response message, comparing the distributed response message with the host response message, and determining whether the test passes based on a comparison result. The application is based on transaction data in the host bank system, and can be more intuitive and convenient for analysis and comparison, and can test a large number of transactions.

The present application relates to a kind of circular tunnel modal test methods crossing non-uniform soil body, the non-uniform soil counterforce equivalent simulation device used includes, the cross section module group of multiple cross section modules, test piece and fixed frame and base track.The zero stiffness composite spring includes metal spiral spring, rubber, spring top end cover, spring fixed screw rod, spring bottom end cover, bottom screw rod, contact plate and displacement-shaft force sensor, steps are as follows: design data arrangement: determine the geometric parameters of circular tunnel, material parameters and soil parameters, determine test scale ratio and the geometric size and discrete length of structure model;Test piece processing;Strain gauge positioning installation;Soil spring parameter calculation;Zero stiffness composite spring debugging;Cross section module assembly;Cross section module group installation;Test piece installation;Sensor debugging;Loading and testing: data acquisition analysis.

The embodiment of the invention provides an IST module, a chip, a chip self-test method, a mainboard and computer equipment, and the IST module comprises an IST state machine which is used for generating a global reset signal in an initialization stage of a test program; in the execution process of the test program, the test instruction is converted into a JTAG signal for driving the TAP; the reset control circuit is used for responding to an enabling state of a program continuing signal in an initialization stage of a test program, generating a local reset selection signal based on a global reset signal of an IST state machine and outputting the local reset selection signal to the TAP so as to drive the TAP to reset a routing network and reserve the configuration of the TDR, so that the IST state machine can reset the routing network in the execution process of the test program; driving the TAP to execute a chip test based on the reserved TDR configuration; wherein the routing network is used for forming an access path of the target TDR so as to test the on-chip to-be-tested module corresponding to the target TDR through configuration of the target TDR. According to the embodiment of the invention, the test scale of the IST mechanism of the chip can be improved, and the limitation of the IST mechanism is reduced.

The application discloses a large-scale rock mass mechanical parameter optimization method based on multi-scale test data and relates to the technical field of parameter optimization. Test process data of multiple rock mass test scales are collected, energy evolution analysis is performed on the test process data, a multi-scale abnormal path database is obtained, energy path characteristic data of a rock mass simulation engineering scale are collected for multi-feature correlation analysis, matching evaluation values of each rock mass test scale of the rock mass simulation engineering scale are obtained, deviation discriminant analysis is performed on the matching evaluation values of each rock mass test scale, energy path matching information of the rock mass simulation engineering scale is processed and obtained, then, a path correction constraint is performed on a mechanical parameter optimization process of the rock mass simulation engineering scale, path deviation analysis is performed on the path correction constraint process, path deviation characteristic values are obtained, and associated rock mass mechanical parameters are updated and optimized according to the path deviation characteristic values, so that the reliability and engineering safety of the rock mass mechanical parameter optimization are improved.