31results about How to "Measurable" patented technology

The invention discloses an effective stress level test device and method of a vertical prestressed reinforcement. An ARM (Advanced RISC Machines) processor is connected with an ultrasonic pulse generator; a pulse signal emitted from the ultrasonic pulse generator is transmitted to an ultrasonic transducer via a boosted circuit and a transmitter circuit; the ultrasonic transducer transmits the ultrasonic wave to a data register via a programmable filter, a programmable amplifier and an A/D (analog-to-digital) converter; collected signals are sent to a DSP (Digital Signal Processor) by the data register; the DSP stores the signals in an RAM (Random-Access Memory) storage area; the ARM processor is connected with a memory, a keyboard, a display, the programmable amplifier, the programmable filter, the RAM storage area and a temperature measurement circuit; and the temperature measurement circuit is connected with a temperature sensor. The device has the characteristics of no loss, high speed, high accuracy and low cost, especially can quantify the influence of temperature on a stress measurement result, can correct the stress level test error of the vertical prestressed reinforcement so as to obtain the effective stress level value of the vertical prestressed reinforcement with the engineering accuracy.

The invention discloses a distributed secure transmission method applied to a distributed control system (DCS). The method comprises the following steps that: the control system is powered on, and a master station and slave stations perform power-on repeated media access control identity (MACID) detection; the master station and the slave station establish connection, and the master station transmits configuration information to each slave station through a secure message; each slave station acquires periodically transmits acquired data to the master station through a secure message according to a data acquisition period in the configuration information received from the master station; and the master station processes the data received from the slave stations, and transmits corresponding control information to each slave station through a secure message. A controller area network (CAN) bus is used as a basic network, only the data bit part of a CAN bus protocol is used, and different networks are allowed to be accessed.

The invention discloses a method for constructing a demand response scheduling evaluation system of a simulated peak-shaving unit. The method comprises: determining demand response scheduling evaluation time; taking the simulated peak-shaving unit as a target, and constructing the three-layer demand response scheduling evaluation system of the simulated peak-shaving unit from time dimension, capacity dimension and object dimension, wherein a first layer is a totality index, a second layer is a generality index, and a third layer is a specificity index; taking an ideal peak-shaving curve as an evaluation target, and constructing the demand response scheduling evaluation system of the simulated peak-shaving unit; and performing analysis on an index system with an evaluation method of an attribute interval recognition theory, and performing scheduling evaluation calculation. The demand response scheduling evaluation system of the simulated peak-shaving unit, constructed with the method, has comprehensiveness, independence, easy measurement property, flexibility and practicality, is helpful for more visually understanding a demand response scheduling result and a user response state in power grid scheduling, and provides a scientific and accurate basis for implementing demand response and settlement.

A composite anticoccidial medicine for fowls is prepared from antifebrile dichroa root, bupleurum root, flavescent sophora root and sweet wormwood through cutting short, immersing in water, decocting three times while filtering, depositing in alcohol, filtering and sterilizing.

The invention discloses a poultry diberberine oral liquid and preparing method, which comprises the following steps: weighing 2-8% scutellaria root extract in the water at 50-90 deg.c; adding 1-7% triethanolamine and 2-8% honeysuckle flower and extract of weeping forsythia; cooling naturally; condensing with the density at 0.8-1.7.

The invention relates to a multi-blade eddy flow phase-splitting capacitor water content measuring device. The multi-blade eddy flow phase-splitting capacitor water content measuring device comprisesan eddy flow phase-splitting segment and a capacitor measuring segment; the eddy flow phase-splitting segment comprises a spiral blade support rod, more than two spiral blades distributed on the periphery of the spiral blade support rod, and an external tube wall; and the capacitor measuring segment comprises a metal inner core, and an insulating layer and an external metal tube wall which are used for coating the periphery of the metal inner core.

The invention relates to a system task link momentum acquisition method and device and computer equipment. The method comprises the steps of performing a simulation experiment on acquired action scheme data to obtain a plurality of related subtask links and action parameters in each subtask link, constructing a task link momentum model comprising a first function related to military strength and equipment of a system and a second function related to the action rhythm of the system, solving the first function and the second function according to the action parameters, inputting a solving result into a task link momentum model, and calculating to obtain momentum of a corresponding sub-task link, and performing weighted summation calculation on the momentum of each subtask link to obtain the momentum of the system task link. The concept connotation and the corresponding equation of the system momentum in the method are descriptive and measurable, so that the method can be implemented in actual conditions.

In a length or position measuring system which has an at least locally substantially linear measuring gauge and at least one sensor able to be moved relative to the measuring gauge wherein the measuring gauge includes an incremental track and at least one absolute track and wherein the incremental track and the at least one absolute track have pole pairs arranged in the longitudinal direction of the measuring gauge, it is provided in particular that at least one pole pair of the absolute track is phase-shifted relative to a corresponding pole pair of the incremental track.

The invention discloses a remote control robot for an automatic driving test and a control method therefor. The robot comprises a robot model and a remote controller; the robot model is composed of a trolley and a humanoid mold fixed on the trolley; the trolley comprises a control module, a detection module, a first sending module and a first receiving module; the first sending module is connected with the detection module; the first receiving module is connected with the control module; all parts of the humanoid mold are covered with copper foils with certain thickness and density; the remote controller comprises a control signal input module, a display module, a second sending module and a second receiving module; the second sending module is connected with the control signal input module; and the second receiving module is connected with the display module. The reflectivity of a simulated real person to a millimeter wave radar is obtained by covering the humanoid mold with the copper foils, the test requirements of the recognition capability and the intelligent decision-making level of the self-driving automobile are met, the test safety and accuracy are high, and the test precision and the test efficiency are improved.

The invention discloses a demand response effect evaluation method by taking load limit as the goal. The method includes the following steps that firstly, demand response evaluation time is determined; secondly, three evaluation sub-goals are determined by taking load limit as the goal; thirdly, a demand response effect evaluation system by taking load limit as the goal is established according to the judgment standard whether the evaluation sub-goals are strongly correlated; fourthly, per-unit disposal is conducted on important evaluation indexes and auxiliary evaluation indexes, the percentage of each evaluation index is worked out, and the weighting method is adopted for unified solving to obtain an evaluated value. The evaluation method has comprehensiveness, independence, easy measurement, flexibility and practicability, needed data are obtained conveniently and are easy to understand, solving is conducted through the weight factor method, engineering application is facilitated, and the method plays a role in filling the blank in the aspects of demand response/orderly power utilization effect evaluation or demand response allowance standard formulation.

The invention relates to an electric vehicle cluster storage load scheduling evaluation system. An electric vehicle scheduling center acquires regional power grid capacity, user load capacity and a power grid operation state; the electric vehicle dispatching center calculates the maximum charging capacity and the maximum dischargeable capacity of all the electric vehicles in the area; the electricvehicle scheduling center respectively transmits the actual capacity index value, the actual vehicle service time index value, the actual safety operation index value, the scheduling plan index and the actual scheduling economic index value of the electric vehicle cluster storage load scheduling system to the capacity index value and the vehicle service time index value of the electric vehicle cluster storage load scheduling system; and comparison normalization processing is conducted on the safe operation index value, the scheduling plan index and the scheduling economic index value to obtain an electric vehicle cluster storage load scheduling evaluation radar map. According to the method, scientific and reasonable evaluation of the storage load scheduling strategy of the electric vehicle is realized.

The invention relates to an interference source individual identification method based on phase noise characteristics, and belongs to the technical field of target identification. The method comprises the steps: step 1, establishing a radar active interference signal model and obtaining an active interference signal; step 2, preprocessing the active interference signal to obtain a preprocessed interference signal; step 3, performing first feature extraction and feature dimension reduction on the preprocessed interference signal to obtain a signal after first dimension reduction; step 4, performing classification identification on the signal after primary dimension reduction obtained in the step 3, and outputting an interference type; step 5, aiming at deceptive interference, extracting phase noise characteristics of the deceptive interference; step 6, performing secondary feature extraction and feature dimension reduction on the phase noise characteristics to obtain a signal after secondary dimension reduction; and step 7, performing classification identification on the signal after secondary dimension reduction obtained in the step 6, and outputting an interference source type of deceptive interference. According to the method, the phase noise features based on radiation source signal envelope have differential fine features, and the method has universality, stability, uniqueness and testability.