600results about How to "Strong interference ability" patented technology

The invention relates to a face model training module, relative method, and a face real-time identify system, and method, wherein in the identification, first using face sample image, to supply one face model supporting vector machine to each user; via collecting the video image input by camera, searching and checking the face of image, and tracking and identifying the image; then automatically marking the organ character point of face, to pre-treat checked face; calculating the Gabor character of face image after pretreatment; selecting low-dimension character vector from high-dimension Gabor character; inputting the selected low-dimension character vector into face model, to process face recognition, to feedback similarity data of each face model; based on said similarity data, outputting final face identifying result. The invention can improve the right rate of face recognition identification.

The invention provides a novel cationic surface sizing agent and a preparation method thereof, relating to a paper surface treating agent. The traditional sizing agent adopts an emulsifying agent which can result in poor storage stability of products and poor stability of a prepared coating liquid, especially poor interference resistance to foreign ions and the to-be-improved foaminess of the coating liquid. The invention provides a novel cationic surface sizing agent and a preparation method thereof. The novel cationic surface sizing agent comprises 15-50 of natural polymer, 30-70 of water, 0.01-0.1 of natural polymeric modifier, 5-50 of hard monomer, 8-45 of soft monomer, 0.5-10 of cationic monomer, 0.03-5 of evocating agent 1, 0.03-5 of evocating agent 2, 0.03-5 of molecular weight modifier and 0.1-10 of defoamer. The solid content is controlled to be 25-30% by adding water. The invention overcomes the disadvantages in the prior art for producing the surface sizing agent, and the sizing agent provided by the invention is an environment-friendly product which has the advantages of low cost, good stability, high interference resistance to foreign ions, low foaminess and high sizing performance.

The invention discloses a non-orthogonal multi-user access and sending and combined receiving, demodulation and coding system and method, and belongs to the technical field of communication. The method is characterized in that at a sending end, multiple users have access to the system in a non-orthogonal mode, and channel coding, coded symbol mapping, interleaving and modulation are carried out on a signal; at a receiving end, the received signal is multiplied by the feature sequence of each user, multi-user detection, demodulation, de-interleaving and decoding are sequentially carried out on the received signal, then multi-user detection is carried out on an output result again, and the iteration process is achieved. Based on the message passing conception, output soft information of a decoder is directly sent to undergo multi-user detection so as to achieve decoding and multi-user detection combined iteration processing. By means of the method, based on linear computation complexity, good interference elimination performance can be achieved, influence, caused by environmental noise and interference, on signal information is effectively reduced, and good BER performance and a more reliable transmission effect are achieved; meanwhile, multi-user interference elimination and decoding can be combined to be carried out, and therefore a parallel structure can be easily realized.

The invention provides a multi-target tracking method integrating obvious characteristics and block division templates. A target motion area is detected by adoption of RGB component background difference and an iterative threshold, and the adaptive ability of a motion detection algorithm to scene illumination change is improved. Based on target area block division, a motion pixel color saliency weighted block centroid model, block centroid shifting fusion and a scale updating method, the calculation efficiency is high, the resistance to partial occlusion is high, and the similar color scene jamming ability is strong. The problem of multi-target measuring-tracking distribution is solved by adoption of two-level data association, and an occluded local area can be accurately positioned. Therefore, adaptive template updating is guided by an occlusion matrix, a reliable global centroid transfer vector is obtained by making use of effective colors and motion information of blocks, and finally, continuous, stable and fast multi-target tracking in complex scenes is realized. The multi-target tracking method integrating obvious characteristics and block division templates is applied to fields like intelligent video surveillance, in-air multi-target tracking and attacking, and multi-task tracking intelligent robots.

The invention discloses an LCD foreign body defect detection method. The LCD foreign body defect detection method comprises the following steps of image resizing, namely, image resizing is carried out according to a bilinear interpolation algorithm, label detection, namely, the position of a label is detected and the label is eliminated to obtain an image OI, (3)image reconstruction, namely, the image OI is reconstructed through a singular value decomposition method to obtain a reconstructed image CI and the reconstructed image CI is subtracted from the image OI to obtain a difference image DI, (4), point-shaped foreign body defect detection, namely, thresholding defect cutting is conducted on the obtained difference image DI, outline number statistics is carried out through outline detection, total defect area is calculated, and whether point-shaped foreign body defects exist or not is judged, (5) region-shaped foreign body defect detection, namely, the difference image DI is divided into num windows, region foreign body defect detection is conducted on each window, and average gray value and variance statistics of each window is carried out, (6) line-shaped foreign body defect detection, namely, edge detection is conducted on the difference image DI according to an edge detection algorithm to judge whether line-shaped foreign body defects exist or not.

The present invention relates to a laser differential confocal tomography focusing method and device, and relates to the technical field of optical imaging and detection. The method uses a rear pupilto block half of a measurement beam, uses a spectroscopic differential confocal detection system to detect the unblocked measurement beam, and uses an absolute zero point of a differential confocal response curve to achieve high precision tomographic focusing. The method organically combines a laser differential confocal technique and a ray tracing technique to establish a ray tracing and compensation model to eliminate influence among each fixed focal surface parameters, and achieves fast trigger of focus through data near a linearly fitting absolute zero point. The method can obtain the differential confocal response curve by using only one detector, and realizes the tomographic focusing through the absolute zero point of the differential confocal response curve, greatly simplifies system structure, in the same time, avoids error introduced by adjustment inaccuracy, and greatly improves precision of focusing. The method will provide a new technical approach to the field of confocal imaging / detection.

The invention provides a high resolution infrared gas sensor which comprises a shell, a metallurgical powder net, a shell cover, an output pin, an infrared gas detector and an infrared light source, wherein the shell is internally and sequentially provided with an optical cavity, a signal control and collection circuit board and a main circuit board, the optical cavity is internally provided with an optical channel and is provided with a vent hole, the probe end of the infrared gas detector is arranged at one end in the optical channel, and the light emitting end of the infrared light source is arranged at the other end in the optical channel; a pin of the infrared gas detector and a pin of the infrared light source are respectively connected with a signal control and collection circuit, the signal control and collection circuit is connected with a main control circuit, and one end of the output pin is connected with the main control circuit; the optical channel is in an Archimedes spiral shape, and the inner wall of the optical channel is coated by gold. The sensor adopts the Archimedes spiral shape optical channel in a limited space to enable an optical path to be dramatically enhanced, thereby enhancing the test sensitivity and the test accuracy of the sensor.

The invention relates to a radar jamming method and device as well as a frequency phased array jammer. In the frequency phased array jammer, a digital radio frequency memory is used as a front-end basic component to store the received enemy detection signals, forwarding jamming or smart jamming is used flexibly, and finally, an frequency phased array antenna generates jamming signals to produce false targets more than conventional jamming ones, so that detection and tracking of an enemy radar on a moving target are effectively destroyed. The method has the innovation that the novel frequency phased array is applied, the frequency phased array antenna transits jamming signals, and the jamming signals transmitted between the array elements are different in frequency, so that on the one hand, the power of the jamming signals is strengthened in an array form, and on the other hand, the transmitted jamming signals are different in frequency and thus seriously puzzle the detection of the target of the enemy radar in frequency.

The invention provides a moving target detection method with an adjacent frame difference method and Gaussian mixture models combined. The method includes the following steps that (1) an image sequence is obtained, wherein the image sequence comprises a current-frame image and a previous-frame image; (2) the current-frame image is divided into a temporary moving area and a temporary background area by the utilization of the improved adjacent frame difference method; (3) matching is performed on the two areas generated in the step (2) through the Gaussian mixture models, the two areas are divided into different areas according to matching results; (4) different updating is performed on the Gaussian mixture models in the different areas; (5) final moving target areas are determined according to the areas generated in the step (3). Gradient comparison and median filtering are added in the improved adjacent frame difference method, and the boundary and the anti-noise-interference capability of a moving target are highlighted. The adaptability to background and foreground conversion of the Gaussian mixture models is improved through changes of the updating rate of the Gaussian mixture models. The detection result of the method alleviates the problem of cavities generated through the adjacent frame difference method, and problem of the shadow generated by the fact that a background object is converted into a moving object suddenly is eliminated.

The invention discloses a preparation method for a macromolecule emulsifier used in ASA. The invention solves the problem that cationic starch and a micromolecule emulsifier added in the traditional ASA latex have poor gluing effect, and the prepared latex easily forms bubbles and has poor stability. The method chooses appropriate oil-soluble vinyl monomers, water-soluble vinyl monomers and cation monomers under the action of a macromolecule stabilizing colloid; the macromolecule emulsifier used in ASA is prepared under the action of an evocating agent by seed emulsion polymerization. On one hand, the macromolecule emulsifier can overcome the shortcoming that the cationic starch easily goes bad at high temperature and in the process of the long term storage to cause that the ASA latex has poor gluing effect and poor stability; on the other hand, the reserving performance and the anti-anion trash interference performance of the macromolecule emulsifier are greatly increased; the macromolecule emulsifier not only can increase water resistance of paper but also can increase the physical strength of paper; in addition, when the macromolecule emulsifier is used for ASA emulsification, additional pasting, dilution and high shear emulsifying plants are not needed.

The invention relates to a heavy metal sewage treatment agent which is prepared from dodecyl diethylene triamine, dimethyl diallyl ammonium chloride, acrylamide, dibenzoyl peroxide, powdered activated carbon, ethylene diamine tetraacetic acid, tert-butylamine, carbamate, dithiocar-bamate, thiocarbamic acid ester, starch, cellulose, water soluble starch xanthate ester, sodium silicate, potassium peroxodisulfate, sodium hydrosulfite, strong base and water. The heavy metal sewage treatment agent disclosed by the invention is formed by being modified with a high-molecular compound; the mixture contains a plurality of active groups which can be complexed, chelated, absorbed and exchanged with heavy metal, so that heavy metal ions in the aqueous solution can be removed; the heavy metal sewage treatment agent has good removal effect on heavy metal ions, the removal rate is above 97%, and furthermore, the heavy metal sewage treatment agent has stronger Ca2+ and Mg2+ resistant capability; the removal rate of cadmium-containing sewage is 99.8%, which meets the national emission standard; and the removal rate of chromium-containing sewage is above 99.6%.

The invention discloses a multi-person through-wall time varying breathing signal detection method based on VMD, comprising the steps of: an ultra wide band emission antenna emitting narrow pulse, through human thoracic cavity micro-doppler vibration, echo being received by a receiving antenna, and performing slow time sampling on ultra wide band radar echo to obtain a through-wall human body echo signal matrix; calculating the variance of each distance door through a distance door selection algorithm, the one with a largest variance being a distance door where a multi-person target exists, and employing a low pass filter to eliminate high frequency interference and superfluous frequency components; utilizing a VMD algorithm to perform mode decomposition on filtered signals, and iterating sub-signals to obtain effective information meeting the number and frequency band of breathing; and performing Hilbert transformation and time frequency treatment to obtain dynamic instantaneous information including smooth breathing characteristics. The method can effectively eliminate interference harmonic wave of different breathing components, remove metope interference, and enhance weak breathing signals, and has the characteristics of strong interference immunity and accurate time varying tracking characteristics.

The invention discloses a new water quality monitor device and its technique. It comprises a optic probe with two light source of two determined wave length and signal input output optic fiber, and a semiconductor light wave length probe. The optic probe is put in the water and or in the water tube. The two light rays of different wave length goes into the probe through light coupling device, passing through the monitoring water, then the penetrating light is lead out to the optic probe single output optic fiber and surveyed by the semiconductor light wave length probe. Above water quality survey device and the technique is adaptive to remote real-time auto water quality and chroma, turbidity survey. It has water flow, weather or other factor resistance, and low energy consuming, easy operation and handily amendment, simple structure and low cost.

The invention relates to an indoor positioning method based on bluetooth position fingerprints. High-dimensional spatial spectral information and environmental information related to channel information are utilized, and steady spatial spectral fingerprints are extracted by utilizing principal component analysis and other means. The effect of resisting indoor multipath interference is enhanced in matching positioning, and positioning precision is enhanced. The fingerprints have better effect of resisting multipath interference under the indoor multipath environment, and the random variable is more stable. Fingerprint database updating is completed by periodic training data positioning error judgment. If the error is greater than a preset threshold value, dimension reduction processing is performed from an existing multidimensional spatial spectral fingerprint database and a few randomly acquired positioning fingerprints of the present moment by utilizing the principal component analysis method or a manifold learning method so that a fingerprint database of the present moment is obtained; and if the error is smaller than the preset threshold value, positioning is performed by using the previous fingerprint database. Therefore, repeated database establishment does not need to be performed at the positioning moment, and thus the burden of database establishment can be reduced to a great extent.

The invention discloses a method for preparing AKD cationic macromolecular emulsifier, comprising the following steps: adequate acrylic acid long-chain fatty esters and adequate vinyl monomers such as cationic monomers and so on are selected according to the physicochemical properties of binding compositions; free-radical nonsoap latex copolymerization is performed in water solution by adoption of the seeding polymerization method under the condition that modified polyvinyl alcohol exists; and the AKD cationic macromolecular emulsifier is obtained. The AKD cationic macromolecular emulsifier can replace micromolecular emulsifier added into the prior AKD latex; the problems of easy foaming of the latex, poor stability and sizing effect and so on are solved; simultaneously the adhesion property and the anionic waste interference resistance of the emulsifier are greatly improved; not only the waterproofness of paper can be improved but also the physical strength of the paper can be improved; and no cationic starch is required to be added for colloid protectant during the preparing process of the emulsifier, thereby overcoming the defect of poor sizing effect and stability of the AKD latex due to easy deterioration of the emulsifier during the high-temperature and long-term storage process.

The invention discloses a roadside vehicle identification method based on vision and laser radar fusion. Aiming at the problem that the vehicle identification accuracy is low under different illumination conditions of a roadside visual angle, the method comprises the steps of: carrying out the calibration of a roadside environment sensing system sensor, including the self-calibration of a camera and the joint calibration between sensors, and laying a foundation for the information fusion of the sensors; fusing image information and radar point cloud data on a data level and a feature level, and building a roadside vehicle identification network model CBYOLO based on vision and laser radar fusion; then, training a CBYOLO network by utilizing the roadside data set; and finally, using the trained CBYOLO network to carry out roadside vehicle identification. The roadside vehicle identification method based on vision and laser radar fusion provided by the invention has good environmental adaptability and high accuracy.

The invention relates to a three-phase power input open-phase detection circuit, which comprises a first current limiting resistor, a second current limiting resistor a third current limiting resistor, a pull-up resistor, a first diode, a second diode, a third diode, a fourth diode, a fifth diode, a first filter capacitor, a first voltage stabilizing diode, a fourth current limiting resistor, an optical coupler, a triode, a fifth current limiting resistor and a second filter capacitor, wherein the first filter capacitor and the first voltage stabilizing diode are connected to the cathode of the first diode and the anode of the second diode; one end of the fourth current limiting resistor is connected to the cathode of the first diode; the output end collector of the optical coupler is connected to the pull-up resistor, and the output end emitter of the optical coupler is connected to signal ground; the collector of the triode is connected with the input end cathode of the optical coupler, the base of the triode is connected to the fifth current limiting resistor, and the emitter of the triode is connected with the anode of the second diode; one end of the fifth current limiting resistor is connected to the cathode of the fifth diode; and the second filter capacitor is connected to the cathode of the fifth diode and the anode of the second diode. The circuit overcomes the defects of high cost, complex software processing and low reliability in the conventional circuit.

The invention discloses a fluorescent probe for detecting hydrogen sulfide (H2S) and hypochlorous acid (HClO) in cell lysosomes simultaneously or respectively as well as a preparation method and application of the fluorescent probe, and belongs to the field of analytical chemistry. The molecular formula of the probe disclosed by the invention is C44H43N9O7, and the structural formula of the probe is shown in the formula (I). According to the invention, multiple target molecules (H2S, HClO and H2S / HClO) are simultaneously or respectively detected by a single probe, and different signal responses can be produced for different target molecules. The probe of the invention has the specificity of selecting H2S and HClO, and strong capacity of resisting interference of other molecules. The fluorescent probe disclosed by the invention can be applied to detection of H2S and HClO in a water environment and a cellular level, is a simple, fast and sensitive molecular specificity detection reagent of H2S and HClO and has broad application prospects in the field of biomolecule detection.

The invention provides a hypochlorous acid fluorescent probe with quick response and high selectivity and sensitivity by molecular structure design, as well as a preparation method thereof and application of the hypochlorous acid fluorescent probe to detection of hypochlorous acid in an aqueous solution and a cell. The fluorescent probe can be applied to detection of the hypochlorous acid in the aqueous solution or a biological system, and detection comprises fluorescence detection, cell imaging and visual colorimetry. The fluorescence intensity forms linear positive correlation with the concentration of the hypochlorous acid within a certain concentration range, and the concentration of the hypochlorous acid can be quantitatively measured. The hypochlorous acid fluorescent probe is easy to synthesize, and a posttreatment process is relatively simple; selective and rapid detection of the hypochlorous acid molecular probe is realized, the selectivity is good, and the hypochlorite fluorescent probe is high in resistance to interference of other molecules, is a simple, rapid and sensitive hypochlorous acid molecular specific detection reagent, and has broad application prospect in the field of biomolecular detection.

The invention discloses an RNA (Ribonucleic Acid) interference vector and application thereof. The RNA interference vector provided by the invention comprises FAD2 (fatty acid desaturase 2) gene intron and an upstream polyclone site and a downstream polyclone site on two sides of the FAD2 gene intron, wherein the FAD2 gene intron is the 60th-1190th site nucleotide from the 5' terminal of the sequence 1 in a sequence table. Proven by experiments of the invention, the invention provides an RNA interference vector suitable for plants; shRNA (short hairpin RNA) formed by expression of the RNA interference vector in a receptor is diced by Dicer into siRNA (small interfering RNA); and the siRNA can specifically inhibit the expression of a target gene, thereby achieving the aims of controlling the plant height of paddy and studying the CYP90D2 / D2 gene function.

The invention discloses a time-space condition information based moving object detection method. The method comprises the following steps: building a target detection time-space domain model through considering the significance of human visual time-space domains; calculating a conditional probability that a detection image belongs to a time-space domain reference background; carrying out nonlinear transformation on the conditional probability through negative logarithm checking so as to extract time-space conditional information; carrying out weighted summation on the conditional information of image in an adjacent domain through considering the local consistency of image characteristics; and as characteristics, carrying out object detection by using a linear classifier. The conditional probability is rapidly calculated by using a color histogram, and an image block replacing a single pixel is adopted for carrying out modeling and detection, thereby reducing the algorithm complexity and the storage space requirements; and through combining with an image block difference pre-detection mechanism, the object detection speed is increased. The method disclosed by the invention is low in algorithm complexity, less in storage space requirements and high in algorithm instantaneity, and can effectively suppress the background disturbance interference and isolate the noise influence; and by using the method, the real-time detection of moving objects on the existing computers is realized, therefore, the method is applicable to embedded intelligent camera platforms.

The invention relates to the radio-positioning technical field, particularly a millimeter-wave time-division passive frequency modulation multi-channel automotive anti-collision radar, which is realized through the following steps: adopting the full-phase parameters to receive / transmit reference signals; asynchronously controlling the time division and the time sequence; watching the targets which are prone to collision on the w surface in an omni-directional manner through DSP cyclic scanning wave beams by a quasi-optical dielectric lens antenna circular array; controlling the time division SAW multi-channel passive frequency modulation through road condition cameras, an own vehicle speed, a GPS signal MCU; sending to antenna array to transmit through an up-converter, an amplitude limiter, T / R3, a frequency multiplier and a power amplifier, T / R2, an isolator and a wave beam switch; filtering the returning wave in a conjugating and matching manner with the transmitting SAW through the antenna array, the wave beam switch, the isolator, R / T1, the low-noise high amplifier, a down-converter, a medium amplifier, the time-division circuit and the SAW multi-channel signals; processing and controlling DSP and MCU; controlling the false-alarm when encountering a plurality of road barrier targets DSP and confirming the position, the distance and the relative speed; displaying the three-dimensional image on a CRT, wherein the closer the vehicle gets to the target, the higher the resolution power is; identifying the nearest distance to the vehicle; giving an alarm when the distance is smaller than the safety distance; and intelligently avoiding the barriers or reducing or braking if the distance is close to a risk distance, wherein the control is determined based on the actual condition of the road surface environment combined with the own vehicle speed and the GPS data, thereby improving the travelling safety.

The invention provides a novel positioning fingerprint design method and an indoor positioning system based on channel estimation. EESM (Exponential Effective SIR Mapping) is adopted as fingerprint information. EESM is to map signal to noise ratios of different subcarriers of OFDM (orthogonal frequency division multiplexing) in a WLAN (wireless local area network) channel into an exponential-equivalent signal to noise ratio which is used as representation of WLAN channel characteristics, and the fundamental principle that RSS (received signal strength) power spectra are used as fingerprints to obtain more stable variance is used for reference; meanwhile, the EESM in an OFDM system can be directly extracted by a signal estimation module, the defects of too long sampling time and high computation complexity during RSS power spectra computation are overcome, and accordingly applying the novel fingerprints to actual positioning systems is possible. Further, by the novel positioning fingerprints, precision and stability of the indoor positioning system are improved.

The invention provides a method and a device for real-time detection of note thickness. The method comprises that: a microwave generator generates and sends microwave pulse signals into magnetic field exciting coils to obtain a high frequency alternating magnetic field; driven upper rollers are positioned in the magnetic field; notes pass between the upper rollers and lower rollers; the upper rollers float; detection sensors detect magnetic signals reflected by the upper rollers; the magnetic signals are converted into electrical signals which are processed through a circuit and then sent into a microprocessor; a thickness value of the notes is obtained in real time through the corresponding relation between the changes of resonance frequency and the thickness of the notes; the value is sent to a display to be displayed; and an alarm is given when the thickness exceeds a set value. The detection sensors formed by inlaying the magnetic field exciting coils and detection coils are right above every upper roller, and are connected to the microprocessor through frequency-dividing phase-locking circuits and shaping circuits respectively. Data of the relation between the thickness of the notes and the value of microwave pulse frequency, as well as processing programs is stored in the microprocessor, and the microprocessor is connected with the display and an alarm. The method and the device have the advantage of automatically identifying various note defects, along with detection convenience, rapidness and accuracy.

The invention relates to a method for estimating the medium quality factor by utilizing the peak instantaneous frequency of the envelope of the seismic signal, which includes the following steps: 1) dividing the medium into several thin plates with the thickness of the distance between two adjacent geophones in the well; 2) for the i-th A small thin plate, use the constant phase wavelet to approach the direct wave received at its top, and determine its modulation frequency σi and energy attenuation factor δi, and calculate the ratio ηi=σi / 2πδi; 3) Calculate the travel of the seismic wave on the i-th small thin plate Time 4) Calculate the instantaneous frequency of the received signal at the upper and lower interfaces of the i-th thin plate; 5) Calculate the change Δfp(i)=fp(0)-fp(τi) of the envelope peak instantaneous frequency in the i-th small thin plate; 6 ) Substituting σi, δi, τi and fp(0)-fp(τi) into the analytical relationship between the envelope peak instantaneous frequency and the quality factor Q value to calculate the quality factor Q value of the i-th small thin plate: 7) Repeat steps From 2) to 6), calculate the quality factors of other small thin plates in turn; 8) use the quality factor Q value to predict the oil and gas of the reservoir.

The invention relates to a multifunctional carrier soil conductivity real-time detector, wherein it is formed by electrode sensor unit, data collecting-processing unit; said electrode sensor unit is formed by support, wheel, and post electrode, while the wheel and post electrode are fixed on the support; the data collecting-processing unit comprises power convert circuit, signal convert-amplify circuit, A / D converter, processor and liquid crystal display circuit; the data collecting-processing unit via one multi-core cable is connected ton the electrodes of electric sensor. The invention uses current-voltage four-end method, and six-post-electrode design, without less damage on soil; and it uses separated design, therefore, even the soil end of electrode is damaged, it can replace accident part easily.

The invention discloses a mitochondria target hydrogen peroxide molecular fluorescent probe and a preparation method and application thereof and belongs to the technical field of analytical chemistry. A molecular structural formula of the probe is shown as the formula I and is short as Mito-H2O2. The preparation method of the probe molecule is simple, achieves quick detection on hydrogen peroxide molecules, is good in selectivity and strong in antijamming capability, can be used for detecting hydrogen peroxide molecules in mitochondria of cells, has the characteristics of being quick, simple and flexible and has wide application prospect in the biological molecular detection field.

The invention discloses a heart-type fatty acid binding protein content detection kit and a preparation method thereof. The kit disclosed by the invention is formed by a reagent I and a reagent II which are mutually independent; the reagent I comprises the following components of: a biological buffering agent, a surfactant, a coagulation accelerator, a preservative, a stabilizing agent, a blocking agent, a chelating agent and water; the reagent II comprises the following components of: latex grains covered by a heart-type fatty acid binding protein antibody, a biological buffering agent, a chelating agent, a surfactant, a preservative, a suspending aid, a sealing agent, a stabilizing agent and water; and the grain diameters of the latex grains covered by the heart-type fatty acid binding protein antibody are within 90-200nm. The detection kit disclosed by the invention has a series of advantages of good stability, strong specificity, high sensitivity, strong anti-interference capability on rheumatoid factors, good linear range, simplicity and convenience for detection and operation and the like, and is good for large-scale popularization and application.

This invention relates to an on-line monitoring method of high-pressure electrical apparatus insulation parameters based on preference phase method, which comprises data collection, data process and analysis and diagnose decision-making. The online monitoring system is divided into two categories: integral online monitoring system and distributed online monitoring system which is mainly monitor the dielectric loss and constant capacitance of capacity apparatus. It is characterized by adopting reference phase method and locating sensors used for collecting reference phase signals in each monitoring unit. This invention avoids the long distance transmission of PT secondary voltage signals and can ensure both the accuracy of insulation parameters measuring and increase the safety reliability of the system; it adopts reference phase to increase the measuring accuracy of insulation parameters; it eliminates all impacts generated by absolute angle errors of the sensor itself on the insulation parameter measuring with high application values.

The invention discloses a photovoltaic grid connected inverter output current control system which comprises a photovoltaic battery, wherein the photovoltaic battery generates direct current after irradiated; the direct current generates alternating current after passing through a current closed loop controller controlled bridge type inverter; the alternating current is transmitted to a grid after filtered by an output filter and amplified by an isolation transformer; and the current closed loop controller adopts a double-current closed loop control structure which comprises current inner loop control formed by filter inductive current feedback and current outer loop control formed by transformer output current feedback. Because the invention adopts the double-current closed loop control structure, the output current has favorable tracking capability on a current given value and has favorable inhibiting capability on interference, such as grid voltage and harmonic wave thereof, inverter dead area effect, and the like. The photovoltaic grid connected inverter output current control system used as a control system with innovative significance can be widely applied to a photovoltaic grid connected power generation industry.