35results about How to "Data fluctuation is small" patented technology

The invention relates to the field of data processing and discloses a collected data filter processing method and device. According to the collected data filter processing method and device provided by the invention, the following steps of firstly removing a transient disturbance signal in a signal, detecting a variation trend of an external signal in real time, and further weighing and distinctively processing the collected data according to the variation trend are adopted, so that a final computed result can more accurately and objectively reflect the number of external physical quantity at the moment, and the next operation of equipment according to the result is favored. The output result data obtained through the invention can very accurately reflect the number of the collected physical quantity at the moment, the data fluctuation is reduced, the equipment is prevented from being misoperated, and the loss is reduced.

A Chirp-Z conversion-based surface water velocity detection method comprises the following steps of inputting a Doppler radar signal, wherein the Doppler radar signal comes from an echo wave of a continuous wave radar and is subjected to front-end filtering and digital sampling of a baseband signal after down conversion; performing signal pre-processing on the input Doppler radar signal; performing N-point rapid Fourier transformer on the pre-processed data, and roughly calculating a frequency point; taking a zone nearby the frequency point, performing Chirp-Z conversion spectrum zooming on the zone, and calculating water velocity; and inputting the water velocity obtained by calculation into a kalman filter to smooth velocity data, thereby obtaining the surface water velocity. According to the method, spectrum zooming is performed by Chirp-Z conversion, a picket fence effect brought by discrete Fourier transform is reduced, the frequency accuracy is improved, and the speed informationaccuracy is indirectly improved.

The invention discloses a testing method for the binding strength of putty and a waterproof coating for a building. The method comprises the following steps that 1, the putty or waterproof coating test piece with the binding strength to be tested is prepared and maintained according requirements; 2, epoxy resin, a curing agent and spherical particulate matter are mixed according to the mass ratio of 2:1:(0.2-0.4), the mixture is stirred to be uniform, and a high-strength adhesive is obtained; 3, the surface of the test piece which is well maintained in the step 1 is immediately and evenly coated with the high-strength adhesive obtained in the step 2 through uniform stirring, and the binding strength of the test piece is obtained through testing. The method is easy to operate and low in cost, a standard method is slightly improved, and the standard property and accuracy of tests are not affected. The invention further discloses high-strength binding agent for testing of the binding strength of the putty and waterproof coating for the building and application.

The invention provides a method used detecting air purifying material purification efficiency. The method comprises following steps: a purifying material sample and a reference sample are prepared; an adsorbing material and the purifying material sample are delivered into a sealed container, a pollutant solution to be detected is delivered into a glass dish in the sealed container, the sealed container is sealed, and is unsealed after 12 to 48h of reaction, the adsorbing material is collected, and is subjected to desorption using a desorption solvent so as to obtain a desorption solution I; the reference sample is subjected to treatment same to that of the purifying material sample so as to obtain a desorption solution II; pollutant contents C1 and C0 of the desorption solution I and the desorption solution II are detected, and purification efficiency r of the purifying material is calculated based on a formula r=(C0-C1) / C0*100%. The method is simple; cost is low; the method is suitable for experimental application and industrial application, and is accurate and reliable; test results are stable; and reproducibility is high.

The invention relates to an online monitoring type intelligent electrified switching-in protection device of a lightning arrester and a control method. The device comprises a box body and a detection circuit embedded into the box body, wherein the detection circuit comprises an MCU (Micro-programmed Control Unit) control unit, an electric energy metering unit, a digital tube display unit, a power supply unit, a signal indication lamp unit, a buzzer, an operational amplification unit, a difference operational amplification unit, a current mutual induction unit, a current measuring unit and a voltage measuring unit. The method comprises the following steps: an equipment switching-in worker switches the device into a connection line of a monitor of the lightning arrester; and voltage and current are detected, and response of an indication lamp and the buzzer is combined to judge whether a temporary grounding wire is reliably grounded or not. The online monitoring type intelligent electrified switching-in protection device can be used for directly and reliably judging whether the grounding wire is reliably grounded or not; and functions of displaying grounding current and voltage by a digital tube and alarming by the buzzer and the like can be used for reminding the equipment switching-in worker that whether the temporary grounding wire is reliably grounded or not, so that hidden dangers are eliminated and safety coefficients of production are improved.

The invention discloses a fault detecting and diagnosing method for an electric driving system of a vehicle, which comprises the following steps: 1) performing the low-pass filtering treatment on the data acquired by a sensor, and 2) setting a counting limiting value for each fault counter, comparing the data after being filtered with a diagnosis value, and confirming if the fault really occurs. By using the method provided by the invention, the real value of fault detection data and the fault diagnosis are scientifically processed, the data fluctuation caused by the system interference is reduced, the data authenticity is ensured, the frequency of fault alarming and recovering is reasonably reduced, the misinformation and omission are avoided, the system runs reliably and stably, and the safety and reliability of the electric automobile can be increased.

The invention discloses a test method of the aperture distribution of a hemodialysis membrane. The method comprises the following steps: dissolving one or more solutes in ultrapure water to form a simulation solution, and filtering the simulation solution through the hemodialysis membrane; testing the concentration of corresponding solute molecular weight in the simulation solution and the concentration of corresponding solute molecular weight in a filtrate; calculating a curve of the molecular diameter of the corresponding solute molecular weight and the interception rate of the hemodialysis membrane; establishing the aperture distribution function and the accumulated distribution function of the hemodialysis membrane; and carrying out nonlinear fitting on the accumulated distribution function on practically measured interception rate curve data through least squares fitting analysis software, determining the aperture distribution parameter, and substituting the aperture distribution parameter into the aperture distribution function to obtain the aperture distribution of the hemodialysis membrane. The method is used to rapidly detect the aperture distribution of the hemodialysis membrane., and has the advantages of high accuracy of measured data, simplicity and high practicality.

The invention relates to an ultrafiltration membrane pore size distribution determination method. Based on an existing liquid-liquid replacement principle, aiming at the pushing pressure of the obtained replaced liquid and the flow rate of the corresponding replaced liquid, a pore size distribution determination model is designed; compared with an original method, the method has the advantages that fluctuation of the obtained pore size distribution data is low, accuracy is high, implement is easy, and an obvious effect is achieved.

The invention discloses a database processing method, a database processing device, a storage medium and a terminal, which relate to the technical field of data processing, and mainly aim to solve theproblem of low data processing efficiency during capacity expansion of an existing database. The database processing method mainly comprises the steps of: determining a first data storage corresponding relationship of original data nodes by utilizing the number of the original data nodes and the number of preset virtual nodes, and determining a second data storage corresponding relationship of current data nodes by utilizing the number of the current data nodes and the number of the preset virtual nodes; according to the first data storage corresponding relationship and the second data storage corresponding relationship, determining a mapping relationship of data storage from the original data nodes to the current data nodes; and storing the target data in the original data nodes into thecorresponding current data nodes according to the mapping relationship.

The invention discloses an automatic detection method of abundance of methane-oxidizing bacteria. The automatic detection method comprises the following steps: building an automation workstation of an original state microbial oil gas and hydrate exploration technology, treating samples, finishing pipetting by the adoption of an automatic liquid treatment device at the workstation, extracting and purifying DNA by automatic nucleic acid extraction equipment, carrying out agarose electrophoresis detection, carrying out real-time fluorogenic quantitative PCR detection on abundance of methane-oxidizing bacteria, obtaining the abundance result and the like. Based on an automatic analysis method, nucleic acid extraction and purification of methane-oxidizing bacteria are automated; preparation of a specific gene PCR reaction system is automated, errors caused by human factors introduced by manual operation are minimized, operation steps are carried out in a clean environment, the whole detection process is controlled through computer software, detection procedures can be traced, and system errors can be corrected uniformly.

The invention discloses a humidity sensor which comprises a detection device, a control device and a transmission device, wherein the detection device comprises a temperature-sensing capacitor, a temperature-sensing resistor and an induction chip; the control device is a single-chip; the transmission device is a wireless transmission device; the temperature-sensing resistor is positioned below the temperature-sensing capacitor; the induction chip is arranged above the temperature-sensing capacitor; the single-chip is arranged above the induction chip; and the wireless transmission device is positioned inside the single-chip. The humidity sensor disclosed by the invention has the obvious advantages that the structure is simple, a humidity-sensing capacitor and a humidity-sensing resistor are capable of simultaneously measuring and reducing data fluctuation caused by instable temperature-sensing capacitance, and detection can be also performed even if one of the humidity-sensing capacitor and the humidity-sensing resistor is damaged. Due to the arrangement of three lamps, a user can clearly know which range the humidity belongs to, the user can be prompted by adopting an audible and visible alarm device, and the user can remotely see the detected data by adopting the wireless transmission device.

The invention relates to the field of big data feature extraction, and provides an agricultural feature information extraction method based on big data for the problem that agricultural data is difficult to process, which comprises the following steps: an attribute set establishment step: obtaining agricultural attribute data, and establishing a knowledge system; an attribute class clustering step: establishing an initial attribute class according to the initial attribute clustering center, and performing combination and separation operation on all the initial attribute classes to obtain clustered attribute classes; a feature attribute calculation step: calculating the dependency degree of each attribute data in the integrated attribute category relative to other attribute data, and selecting the highest value of the dependency degree as a feature attribute value; and a feature attribute collection step: selecting and collecting feature attribute values of all attribute categories to obtain a feature attribute set. The problem that an existing feature extraction method cannot reflect nonlinear structure features of data, and consequently the data utilization effect is poor can be solved.

The invention provides a non-contact chromaticity detection device and a detection method, which can be used for carrying out multispectral measurement at the same time, have no pollution on sensors and a liquid to be detected, and overcome the defect of a luminosity electrode in the prior art. The device comprises a transparent reaction container, multispectral light sources arranged right abovethe reaction container or outside a side wall of the reaction container, full-color light sensors for receiving a multispectral light source transmission light, and a multispectral light source switching device with an output end connected with a multispectral light source control end, wherein at least two full-color light sensors are arranged, are simultaneously distributed right below the reaction container or outside the side wall of the reaction container, and are arranged opposite to the multispectral light sources; the multispectral light sources, the full-color light sensors and the reaction containers are arranged in a non-contact way; a signal processing system is connected with output ends of the full-color light sensors, and is used for receiving light signals of multiple channels at the same time.

The invention discloses an analysis method for the gold content of a gold-bearing ore sample, which comprises the following steps of: crushing and weighing the gold-bearing ore sample to be detected, sorting out reselected concentrate and reselected tailings through reselection equipment, analyzing the gold content of the reselected concentrate and the reselected tailings through a gold content detection method respectively, and determining the gold content of the gold-bearing ore sample after the results of the reselected concentrate and the reselected tailings are processed. The gold content of the reselected concentrate is detected by the fire assaying method according to the weight suitable for fire assaying method detection. According to the invention, a division process step is avoided, and the sampling range of the gold-containing ore sample to be detected is expanded, so that the detection result is accurate and real. Since the gold ore is different from other ores, the gold content is relatively low and the gold is scattered in the ores, a representative detection result is difficult to obtain if an existing detection method is adopted. The positive deviation and the negative deviation of the detection result of the conventional method represented by the embodiment of the invention are respectively 16-38% and 9-18%, and compared with the existing detection method, the method disclosed by the invention can reduce 75% of data fluctuation to the maximum extent.

The invention relates to a method for detecting the activity of nattokinase. The method comprises the following steps: preparing a thrombus tube, dissolving a thrombus, determining the thrombolytic length of a standard solution, drawing a standard curve, and determining the nattokinase activity of a sample to be tested. The method has the advantages of high accuracy, low data fluctuation, high stability, small amount of the sample used in the method, no complicated instruments, and realization of simultaneous determination of multiple samples, and is suitable for high-throughput screening of nattokinase activators or inhibitors.

The invention relates to a double-channel microbial sensor type BOD (Biochemical Oxygen Demand) rapid tester for emergency detection. The tester is characterized in that a constant-temperature heatingunit is additionally provided with a water bath tank, and a tank high-limit liquid level sensor, a tank low-limit liquid level sensor, a tank water temperature sensor and a tank outlet liquid temperature sensor are arranged; two microbial sensor detection units are arranged and fixedly installed on a flip cover of the water bath tank, and an elastic flexible flat-bottom film protection disc witha disc bottom hole formed in the center is additionally arranged; two gas inlet and liquid inlet units are arranged, gas flow meters and liquid inlet peristaltic pumps capable of automatically adjusting the speed are additionally arranged on two gas inlet pipes, and a mixed gas-liquid inlet pipe enters the water bath tank and penetrates through water through a solenoid structure; and displays of an electrical control unit comprise a tank water temperature display, a touch screen display and a peristaltic pump rotating speed display, a buzzer for liquid level overrun alarming is additionally arranged, and an electrical control main board is a multifunctional control main board for controlling temperature, liquid level and operation. The tester has the beneficial effect that the requirementsof BOD emergency detection on rapidness, accuracy and safety are met.

The invention relates to a novel ore pulp concentration meter based on an ELM network. The novel ore pulp concentration meter comprises a drainage pipeline, an electronic weighing device and a signalprocessing end, wherein the drainage pipeline comprises a flow guide pipe, hoses, a measuring pipe and a drain pipe; the front end of the measuring pipe is connected with the flow guide pipe through one hose, and the rear end of the measuring pipe is connected with the drain pipe through the other hose; the measuring pipe is fixedly connected with a measuring end of the electronic weighing device,and the electronic weighing device is used for measuring weight of ore pulp in the measuring pipe; the electronic weighing device transmits a weight signal to the signal processing end, and the signal processing end calculates ore pulp concentration in real time. According to the provided novel ore pulp concentration meter based on the ELM network, the measuring pipe is directly suspended at themeasuring end of the electronic weighing device, weight change of the measuring pipe is directly caused by concentration change of the ore pulp, and the weight signal is transmitted to the signal processing end synchronously, so that measurement is rapid and response is sensitive. The novel ore pulp concentration meter is concise in structure, simple to mount and operate, lower in cost and long inmaintenance period.

The invention relates to the field of data processing and discloses a collected data filter processing method and device. According to the collected data filter processing method and device provided by the invention, the following steps of firstly removing a transient disturbance signal in a signal, detecting a variation trend of an external signal in real time, and further weighing and distinctively processing the collected data according to the variation trend are adopted, so that a final computed result can more accurately and objectively reflect the number of external physical quantity at the moment, and the next operation of equipment according to the result is favored. The output result data obtained through the invention can very accurately reflect the number of the collected physical quantity at the moment, the data fluctuation is reduced, the equipment is prevented from being misoperated, and the loss is reduced.

The invention discloses a multi-module weighing method and system. According to the method, a host time module is added in a weighing host, an extension time module is added in each weighing extension, the concept of timestamps is introduced, when the weighing host works, a control instruction is sent to generate a host timestamp, each weighing extension completes measurement and weighing and generates an extension timestamp, when the weighing host calculates the weight, the host timestamp and measurement result data of each weighing extension corresponding to each extension timestamp are adopted to change the original dynamic measurement result data of each weighing extension into static measurement result data so as to ensure the synchronism and consistency of data sending and receiving,reduce the data fluctuation and effectively improve the measurement accuracy; and moreover, communication is performed based on an LORA chip, energy consumption can be effectively reduced, the measurement accuracy can be effectively improved by additionally arranging the host time module and the extension time module, the system hardware structure is simple, and the production cost is low.

A method for detecting surface water flow velocity based on Chirp-Z transformation, comprising the steps of: inputting a Doppler radar signal, the Doppler radar signal originating from the echo of a continuous wave radar, and a baseband after front-end filtering and down-conversion. Digital sampling of the signal; perform signal preprocessing on the input Doppler radar signal; use the preprocessed data to perform N-point fast Fourier transform, and roughly calculate the frequency point; The Chirp-Z transform spectrum is refined in the above interval, and the water surface speed is calculated; the calculated water surface speed is input into the Kalman filter to smooth the speed data, thereby obtaining the surface water flow speed. The method of the invention uses the Chirp-Z transform to refine the spectrum, reduces the fence effect caused by the discrete Fourier transform, improves the accuracy of the frequency, and indirectly improves the accuracy of the speed information.

The invention relates to a method for measuring the creep mechanical properties of materials by using a small sample of a fixed C-shaped ring, belonging to the field of measurement. It includes the design and manufacture of fixed-supported C-ring small samples and fixtures; the establishment of the conversion relationship between the fixed-supported C-ring small sample small deformation stage and uniaxial creep; the establishment of a finite element model, and the conversion is obtained according to the reference stress method formula coefficient; carry out multiple sets of creep tests with the same temperature but different loads on small C-shaped ring samples; derive multiple sets of loading point-time curves obtained from creep tests; perform differential processing on the loading point-time curves to obtain Steady-state displacement rate under different load conditions; put it in log-logarithmic coordinates and perform linear fitting to obtain the uniaxial creep parameters obtained from the inversion of the fixed-supported C-ring. The method has simple stress on the sample, simple test equipment, can obtain fracture data, has nothing to do with the conversion formula between uniaxials and materials, has large deformation of the sample, and high measurement accuracy. It can be widely used in the field of measuring the creep mechanical properties of materials.

A testing system of a liquid pressurized fuel tester adopts two fuel consumption meters for measurement, and is characterized in that a flowmeter is chosen to measure the amount of incoming oil in an oil incoming channel; a returning oil testing instrument which measures the amount of fuel consumption by the constant volume timing method is used for measuring the amount of oil in the oil returning channel of an engine; the flowmeter for measuring the oil amount in the oil incoming channel is a mass flowmeter; the measurement of the oil amount in the oil returning channel is completed by the liquid pressurized fuel tester; a singlechip is used for information acquisition, processing, calculation and displaying as well as examination and correction of abnormal condition; and finally a computer is used for outputting and printing the fuel consumption of the engine.

The invention discloses a robot magnetic navigation sensor applied to transformer substation routing inspection and intelligent logistics. The sensor comprises a main control unit, a Hall sensor, a data processing module, an output data identification module and a low power consumption power supply module, wherein the main control unit is used to wake up the Hall sensor, and make the data processing module to carry out data processing on collected information; the Hall sensor is used for magnetic field detection; the data processing module is used for removing a noise and an interference signal in the system; the output data identification module is used for identifying a wave peak or a trough; and the low power consumption power supply module is used for supplying power for the main control unit, a Hall component, and the data processing module. Under conditions of external disturbances and uncertainties, the magnetic navigation sensor can still accurately detect a position of a magnetic strip so that the magnetic strip position detected by an autonomous navigation robot is more accurate, and reliability of a motion path is improved. Simultaneously, a low power consumption work mode is used, work time is prolonged and work efficiency is improved.

The invention relates to a structure of a lithium battery reference electrode, belongs to the technical field of lithium battery measuring devices, and solves the technical problem of trouble in testing the charging and discharging performance of a lithium battery by a product in the prior art. The lithium battery comprises an electrode assembly, the electrode assembly comprises a negative plate and a diaphragm, the lithium battery comprises a varnished metal wire and a fixing assembly, one end of the varnished metal wire wraps an insulating film and is embedded between the negative plate and the diaphragm in the electrode assembly, the varnished metal wire penetrates through the fixing assembly in a sealing mode, and an extending section is reserved at the other end of the varnished metal wire; and one end of the enameled metal wire is electrically connected with the testing device, so that the change of the potential of the positive electrode and the negative electrode of the lithium battery in the charging and discharging processes can be monitored in time. The structure is simple, and the charging and discharging performance of the lithium battery is easy to test.

The invention discloses a filtering device for liquid level measurement and control of a flotation cell. The filtering device comprises a filtering cylinder and the flotation cell, and is characterized by also comprising a screw, a filtering cylinder fixation base, a movable pressure plate, damping rubber and a bolt, an outer baffle plate and a positioning plate in the right lower portion of the filtering cylinder fixation base, the screw is mounted on the outer baffle plate, the filtering cylinder is connected with the filtering cylinder fixation base via the bolt, the positioning plate of the filtering cylinder fixation base is arranged at the inner side of the flotation cell, the outer baffle plate of the filtering cylinder fixation base is arranged at the outer side of the flotation cell, the movable pressure plate is mounted between the right sidewall of the flotation cell and the outer baffle plate, and is pressed tightly by the screw, and the damping rubber is mounted between the outer baffle plate and the movable pressure plate. The filtering device is simple in structure, convenient to install and adjust, good in the filtering effect and long in service life.

The invention discloses an automatic detection method of abundance of methane-oxidizing bacteria. The automatic detection method comprises the following steps: building an automation workstation of an original state microbial oil gas and hydrate exploration technology, treating samples, finishing pipetting by the adoption of an automatic liquid treatment device at the workstation, extracting and purifying DNA by automatic nucleic acid extraction equipment, carrying out agarose electrophoresis detection, carrying out real-time fluorogenic quantitative PCR detection on abundance of methane-oxidizing bacteria, obtaining the abundance result and the like. Based on an automatic analysis method, nucleic acid extraction and purification of methane-oxidizing bacteria are automated; preparation of a specific gene PCR reaction system is automated, errors caused by human factors introduced by manual operation are minimized, operation steps are carried out in a clean environment, the whole detection process is controlled through computer software, detection procedures can be traced, and system errors can be corrected uniformly.

The invention discloses a method for automatically detecting the abundance of butane oxidizing bacteria. The method comprises the steps: constructing an automatic workstation of an original-state microbial oil gas and hydrate prospecting technique, performing sample processing, completing liquid transfer by adopting an automatic liquid processing device of the workstation, extracting and purifying DNA (deoxyribonucleic acid) by using an automatic nucleic acid extraction device, performing electrophoresis detection with agarose, performing fluorescent quantitive PCR (polymerase chain reaction) detection of the abundance of butane oxidizing bacteria, obtaining results, and the like. Based on an automatic analysis method, automation of the nucleic acid extraction and purification steps of butane oxidizing bacteria is achieved; automation of the preparation of a specific gene PCR reaction system is achieved, errors caused by human factors introduced by manual operation are reduced, the operation steps are carried out in a clean environment, the whole detection process is controlled by computer software, the detection procedure can be traced, and uniform correction of system errors can be realized.

The invention discloses an internal temperature detection device of a vulcanizing machine, and relates to the technical field of rubber molding and fluidization. According to the device, a temperaturemeasuring tank is arranged on the vulcanizing machine through a fixing frame, one side of a tank body of the temperature measuring tank is provided with a supporting pipe, an included angle between the supporting pipe and the tank body is formed, a temperature measuring resistor is arranged in an accommodating cavity at one end, away from the temperature measuring tank, of the supporting pipe, one end of a temperature measuring guide rod is connected with the temperature measuring resistor, the other end of the temperature measuring guide rod extends into the tank cavity of the temperature measuring tank through a pipe hole of the supporting pipe, and the temperature measuring resistor does not make direct contact with steam flowing through the temperature measuring tank, so that steam impact is avoided, the measuring result is accurate, and the service life of the temperature measuring resistor is long; and the included angle is formed between the supporting pipe and one end of a steam introduction pipe of the tank body, so that condensate water does not interfere with the temperature measuring resistor and the temperature measuring guide rod, the data fluctuation is small, and the false alarm happens seldom. The internal temperature detection device has the advantages of being reasonable in design, simple in structure, small in maintenance strength and good in production continuity.

The invention discloses a robot magnetic navigation sensor applied to substation inspection and intelligent logistics, which includes a main control unit for waking up the Hall sensor, and controls a data processing module to perform data processing on the collected information; the Hall sensor is used for Magnetic field detection; data processing module, used to remove noise and interference signals in the system; output data identification module, used to identify peaks or troughs; low power supply module, used for main control unit, Hall element, data processing Module power supply; in the case of external interference and uncertainty, the present invention can still enable the magnetic navigation sensor to accurately detect the position of the magnetic stripe, so that the position of the magnetic stripe detected by the autonomous navigation robot is more accurate and the action path is reliable Performance is improved; at the same time, the use of low power consumption mode prolongs the working time and improves the work efficiency.