5results about How to "Evaluate effectiveness" patented technology

The invention discloses a fault detection modeling and detection rate calculation method based on SysML, and belongs to the technical field of testability. The method comprises the following steps: firstly, determining a failure mode needing to be tested of a system to be researched, product functions and performance parameters associated with the failure mode, a test point, a built-in test item and external test item information, and then establishing an initial function parameter cross-linking model consisting of product function composition and performance parameter composition of a structural unit by using a SysML module definition diagram; on the basis of the model, supplementing a fault mode and a cross-linking relation of a product, supplementing a relation between the fault mode and a test category and supplementing a test item to obtain a designed fault detection model, then calculating a fault detection rate of the fault detection model, judging whether the fault detection rate reaches the standard or not, outputting the fault detection model if the fault detection rate reaches the standard, and otherwise, continuing to adjust. According to the invention, the normalization and consistency of fault detection modeling are ensured, the obtained detection scheme can improve the efficiency and accuracy of fault detection, and the requirements of a high-complexity system are met.

The invention discloses a carbon market efficiency evaluation method considering a multi-dimensional view angle, and relates to the technical field of carbon markets, and the method comprises the following steps: obtaining enterprises participating in a carbon credit transaction in a to-be-tested region, and obtaining carbon market efficiency influence data according to the enterprises; constructing a carbon market stability evaluation model based on a machine learning algorithm according to the carbon market efficiency influence data to obtain a carbon market stability state; obtaining carbon market efficiency according to the carbon market stability state; by establishing the carbon market stability evaluation model, the problem that the evaluation result is lack of timeliness and accuracy due to the fact that only few indexes are considered, the complexity of the market cannot be comprehensively reflected, and carbon emission technology progress factors are ignored is solved.

This invention belongs to the field of clinical efficacy evaluation technology, specifically relating to a method and system for evaluating the efficacy of oral antisleep granules combined with acupoint application in treating insomnia of the heart-kidney disharmony type. The method includes the following steps: selecting subjects to form an observation group and a control group; the control group receiving oral zopiclone tablets; the observation group receiving the same treatment as the control group, combined with oral antisleep granules and acupoint application; observing and comparing indicators: comparing the indicators of the control group before and after treatment with those of the observation group before and after treatment to obtain the efficacy difference between the two groups. The indicators include: a Traditional Chinese Medicine (TCM) syndrome score, where a scale is used to score difficulty falling asleep, shallow sleep with easy awakening / difficulty falling back asleep after waking, early awakening, and lower back and knee weakness. The efficacy evaluation method and system of this application can evaluate the efficacy of oral antisleep granules combined with acupoint application in treating insomnia of the heart-kidney disharmony type.

The invention discloses an atmospheric neutron shielding device, which comprises a sample thyristor 1, a protective resistor 2, a measuring resistor 3, data acquisition equipment 4, a direct current voltage source 5, an artificial neutron source 6, an aluminum alloy plate 7, a first nylon plate 8, a second nylon plate 9, a screw 10 and a shielding material layer 11, wherein the direct-current voltage source 5, the protective resistor 2, the measuring resistor 3 and the sample thyristor 1 form a main loop; the grounding end of the direct-current power supply 5 is grounded and is used for providing direct-current bias voltage with variable polarity and adjustable amplitude for the sample thyristor 1; one end of the protective resistor 2 is connected with the output end of the direct-current power supply 5, and the other end is connected with one end of the sample thyristor 1; one end of the measuring resistor 3 is connected with the low-voltage side of the sample thyristor 1, the other end of the measuring resistor 3 is grounded, and loop current is obtained by monitoring voltages at two ends of the measuring resistor 3; the sample thyristor 1 is arranged in a neutron beam channel of the artificial neutron source 6 and is protected by the shielding material layer 11.

The invention discloses a power grid reactive voltage control optimization method, which relates to the field of reactive voltage control, and comprises the following steps: firstly, carrying out demand analysis and data collection, building a power grid model after the demand analysis and data collection are completed, and determining reactive compensation equipment after the power grid model is built; after the reactive compensation equipment is determined to be completed, optimization algorithm application is carried out, operation and simulation are carried out after the optimization algorithm application is completed, implementation and adjustment are carried out after the operation and simulation are completed, and effect evaluation is carried out after implementation and adjustment are completed. According to the reactive voltage control optimization method of the power grid, implementation and adjustment of reactive voltage control optimization of the power grid are a dynamic process, and adaptive adjustment needs to be carried out on the basis of real-time monitoring so as to cope with constantly changing power grid conditions. Through effective monitoring and data analysis and in combination with flexible control measures, the economical efficiency and stability of power grid operation can be ensured, and high-quality power service is provided for users.