8784results about How to "High utility value" patented technology

The invention relates to a nanometer clay-containing high absorptive hydrogel as well as a preparation method and application thereof. The hydrogel contains an acrylamide monomer M1, a chemical crosslinking agent M2, inorganic nanometer clay M3 and a water soluble biopolymer M4 with use level of 98-50:0-10:2-25:015 in mass percent. The preparation method comprises the following step of: taking M3 as a filler or a reinforcing agent or a physical crosslinking agent and taking M4 as a second component in a water solution to prepare the environmentally-friendly hydrogel with high water soluble dye adsorption property and excellent mechanical property. The method has the advantages of simple and reliable preparation process, no environmental pollution, very strong dye adsorption removal effects and practicability; and the dye adsorption quantity can be adjusted by temperature, pH value, crosslinking degree, dye concentration, nanometer clay or biopolymer variety and use level and a reactant charge ratio. The hydrogel can be used for the fields of weaving and dyeing wastewater treatment, dye adsorption, and the like.

The invention relates to an assessment method of efficient operation of an intelligent power distribution network. The assessment method comprises the steps of: (1) determining boundary conditions; (2) determining service objects; (3) building an assessment index system which includes a power distribution network safety index, a power distribution network reliability index, a power distribution network economical efficiency index, a power distribution network high operation quality index and a power distribution network intelligence index; (4) determining assessment index numerical values of single items; (5) scoring for single items of assessment indexes; (6) performing comprehensive scoring of the assessment index system; and (7) judging whether efficient operation of the power distribution network is achieved according to a comprehensive score of the assessment index system in Step (6). The assessment method for efficient operation of the intelligent power distribution network in the invention has a relatively wide range of application, can comprehensively assess the operating state of the intelligent power distribution network, and an assessment result provides an importance basis for decision-making work of power grid dispatching, planning and operation management personnel.

The invention provides a wind turbine generator set bearing mechanical fault diagnosis method considering multi-class objectives. The method is characterized by comprising the steps of wind turbine generator set bearing vibration signal acquisition, wind turbine generator set bearing vibration signal processing, wind turbine generator set bearing vibration signal feature extraction, wind turbine generator set bearing vibration signal feature selection and recognition of the circuit breaker state through the hierarchical hybrid classifier. The method is scientific and reasonable, high in applicability and high in practical value and can accurately recognize the fault so that the situation that the present method is liable to misrecognize the new fault degree or the new fault type of samplewhich is not included in the training samples as the normal state can be avoided.

The invention discloses a hand-eye vision calibration method for a robot hole boring system, and the hand-eye vision calibration method comprises the steps of firstly calibrating an origin point of a coordinate system of a tool on an end effector of the robot, that is TCP, establishing a scene coordinate system in a shot plane, then shooting two points in the plane, using the TCP to contact the two points, further obtaining the relationship between an imaging coordinate system of a camera and the scene coordinate system and utilizing the relationship to calculate the position relationship of the TCP in the scene coordinate system. Finally, the position relationship between the TCP and the imaging coordinate system of the camera, that is the hand-eye relationship, is indirectly obtained by taking the scene coordinate system as an intermediate conversion coordinate system. The hand-eye vision calibration method ignores depth information of the camera in the hand-eye relationship and transforms the calibration process into the geometric relationship, the calibration process is simple, the calculation amount is small, an expensive three-coordinate measuring device is unnecessary, and the precision is higher, thereby having higher practical value and being capable of meeting the practical working needs of the robot hole boring system.

The invention discloses a carst region double-arch road tunnel construction method, which comprises the following steps; 1. carrying out construction preparation; 2. carrying out construction at channel openings; 3. adopting a three-pilot-tunnel method for constructing the channel inlet opening section, and adopting a step digging method for digging during the three-pilot-tunnel method construction; 4. adopting a middle-pilot-tunnel method for constructing the middle communication section of the channel, and adopting a full cross section method for digging during the middle-pilot-tunnel method construction; 5. adopting the three-pilot-tunnel method or the middle-pilot-tunnel method for constructing the channel outlet opening section, adopting the step digging method for digging when the middle-pilot-tunnel method is adopted for digging construction of the channel outlet opening section, and synchronously carrying out secondary lining construction from the front part to the back part in the digging construction process of the channel inlet opening section, the middle communication section of the channel and the channel outlet opening section. The invention has the advantages of reasonable design, simple and convenient construction, safe and reliable construction process, flexible construction mode, short construction period and greatly simplified construction steps, and effectively overcomes various defects during the traditional carst region double-arch road tunnel construction.

The invention discloses a method for preparing cycloxylidin, which belongs to the technical field of pesticides preparation. The method comprises the following steps: under nitrogen protection, N-nitroiminoimidazolidine and an organic solvent are added in a reactor, then sodium hydride is added in batches, and the material is heated to the temperature of 50-60 DEG C, chloropropylene oxide is added drop by drop in the reactor, after the reaction product is cooled, chloroform is added, and the product is filtered by diatomite, then evaporative crystallization is carried out, and the crystals can be precipitated, vacuum distillation is carried out on a processed filtrate to obtain a light yellow dense solid, then heat chloroform is used for extraction, and finally heat ethanol or acetone is used for recrystallization to obtain cycloxylidin: 1-(2,3-glycidyl)-N-nitroimidazoline-2-ylamine, wherein the yield is about 83%. The method has the advantages of short reaction time, high yield and green environmental protection, and is more suitable for large-scale industrial production.

The invention belongs to the electrical power system domain, specially relates to the line single end fault distance measuring method of the anti- distributed capacity electric current and the transition resistance influence. Including: surveys the transformer substation protection installment place fault phase voltage, the phase current, the zero sequence voltage, the zero sequence electric current and the negative sequence electric current as the input value; using the fault voltage cross zero time to measure the resistance characteristic which is not influence by transition resistance, from the protected line begin end start, computing the measure voltage real part computed value of the fault point voltage cross zero point time, compared with the measured value of the measure voltage real part, computing the error; and taking the delta-S as the step size, in turn computing the setting range which is protected by the send tripping signal, if cannot obtain the protect tripping signal, searching the total track length which is protected, taking the minimum point as the fault point. The invention method is not influenced by the distributed capacity electric current and transition resistance, does not have the false root problem of solving equation method and non convergence question of the iterative method, and has the very high practical value.

The invention relates to the oxidation-reduction liquid stored-energy cell, especially integral electrode dipole plate and preparation, the integral electrode dipole plate includes: multiple-arch electrode and dipole plate, viscous conducting layer which is between the dipole plate and multiple-arch electrode, that is the multiple-arch electrode and dipole plate are felt to the dipole plate via the viscous conducting material. The advantages of the invention are: the integral electrode dipole plate can decrease the contact resistance between the multiple-arch electrode and dipole plate evidently, increase the voltage efficiency and energy efficiency of the oxidation-reduction liquid stored-energy cell, at the same time the distribution of the electrolyte in electrode is more even; the conductivity of the integral electrode dipole plate is perfect, the electrochemistry property is high, the chemical property is stable, it possesses high practicality value and wide application foreground.

The invention provides a human mycoplasma pneumoniae gold-marked silver-stained immunochromatographic assay kit and a preparation method and application thereof. The assay kit comprises a detection card and a silver-stained sensitivity-enhanced pad, wherein the detection card is composed of a bottom plate, a sample pad, an absorbent pad, a conjugate pad and a detection layer; the conjugate pad is coated with a colloidal gold-marked polyclonal antibody mixture of colloidal gold marked rabbit anti-human mycoplasma pneumoniae P1 protein and P30 protein; the detection layer is composed of a solid phase nitrocellulose membrane with a detection line and a quality control line; the detection layer is bonded on the bottom plate, the conjugate pad and the absorbent pad are partially overlapped with the detection layer respectively and are bonded with the detection layer and the bottom plate respectively; the sample pad and the conjugate pad are partially overlapped to be bonded with the conjugate pad and the bottom plate respectively; and the silver-stained sensitivity-enhanced pad consists of a AgNO3 pad and a restoring pad. The human mycoplasma pneumoniae gold-marked silver-stained immunochromatographic assay kit can effectively improve the detection sensitivity of the human mycoplasma pneumoniae, has the strong specificity and has the high application value in the aspects of clinical diagnosis of human mycoplasma pneumoniae, etiology identification, epidemiological investigation and the like.

The invention discloses a method and a system for discovering a network hot topic based on situation assessment. The method comprises the following steps of: acquiring internet forum data in real time; preprocessing corpus of the internet forum data and extracting a candidate word string; forming a characteristic set in a vector form to express each post based on the candidate word string; clustering the posts, acquiring the discovered hot topic according to the clustering result and quantizing; and performing situation assessment on the hot topic generated by clustering and correcting the discovered hot topic according to a situation assessment result. By comprehensively utilizing a topic discovering and tracking algorithm and a situation assessment idea, the organization form of algorithms of selectable and customable processing processes is realized to analyze text information and mine data so as to discover the hot topic. The experiment result verifies the validity and the accuracy of the method and the system and the method and the system have great practical value.

The invention discloses an anti-seepage and leak-blocking construction method for excavation of a subway foundation pit in a soft soil area, which comprises the following steps: 1) joint pre-reinforcement construction of an underground continuous wall: constructing a pre-reinforcement structure of a high-pressure rotary jet grouting pile, guiding holes, grouting by a sleeve valve pipe, sealing the holes, guiding the holes again and pre-burying the sleeve valve pipe for standby; and 2) the excavation of the foundation pit and the anti-seepage and leak-blocking construction: using surface floating earth for clearing and using the encased steel plate reinforcement method for anti-leak treatment for the situations that joints of the underground continuous wall have defects definitely and risk points are positioned below the excavation surface of the foundation pit, adopting the hole-guiding cyanogen injection condensing method for blocking of leak points with slight water leakage situation, adopting the horizontal hole grouting method for blocking for the water leak points with serious water leakage situation, and carrying out filling, grouting and reinforcement through the pre-buried sleeve valve pipe after completing the blocking. The method has reasonable design, convenient construction, comprehensive consideration, good anti-leak and leak-blocking effect, fast leak-blocking speed and can solve the problems of pipe blocking, poor anti-leak and leak-blocking effect, slow construction progress and the like in the existing anti-leak and leak-blocking construction.

The invention discloses an ultrasonic-assisted reservoir stratum chemical blockage removal experimental facility and an experimental method. The experimental facility comprises a rock core clamp holder, a ring compression feed device, an ultrasonic energy converter, an ultrasonic generator, a chemical reagent storage tank connected with a liquid inlet of the rock core clamp holder by a conveying pipeline, a water storage tank, an oil storage tank and a liquid container connected with a liquid outlet of the rock core clamp holder. The experimental method comprises the following steps of: 1, pretreating a tested rock core; 2, testing the initial permeability of the rock core through water drive; 3, polluting the rock core; 4, testing the permeability of the polluted rock core through the water drive; 5, performing an ultrasonic-assisted chemical reagent blockage removal experiment; 6, testing the permeability of the rock core subjected to the blockage removal through the water drive; 7,performing the ultrasonic-assisted chemical blockage removal experiment under the condition of ultrasonic oscillation with different frequencies and amplitudes; and 8, processing data. The ultrasonic-assisted reservoir stratum chemical blockage removal experimental facility has reasonable design, complete functions and high using effect, is easy and convenient to arrange and operate, and can realize the pulse fluctuation of the chemical blockage removal under the action of the ultrasonic oscillation.

The invention belongs to the measurement field of a water supply system. Aiming to fix the position of pipe burst accident point in a water supply network accurately and rapidly, improve the accuracy of positioning, and effectively manage the related data of the operation condition of the water supply pipeline network, the invention adopts the following technical scheme: the pipe burst accident on-line positioning system for an urban water supply pipeline network is composed of a supervisory control and data acquisition system (namely an SCADA system), a data center and a master control computer; the supervisory control and data acquisition system comprises the following parts: 1. a plurality of telemetering remote transmission terminals; and 2. a communication system; the data center comprises a server which is used for monitoring process values and communicating with process hardware; and the server is provided with a database for storing on-line data of the water supply pipeline network, which are monitored according to time sequence. The on-line positioning system provided by the invention is mainly used for determining the position of a pipe burst accident point in the water supply pipeline network.

The invention discloses a method for exchanging a tool of a shield machine for tunnel construction, which comprises the steps of: (1) soil cabin replacement filling: performing the process of soil cabin replacement filling by using a spiral excavating machine and a slip casting system synchronously working with the spiral excavating machine; (2) advanced slip casting inside the machine: beating a plurality of slip casting pipes into the soil on the upper part of the shield machine from inner to outer inside the shield machine by respectively passing through a plurality of advanced geologic holes and then synchronously injecting cement paste into the soil on the upper part of the shield machine through the slip casting pipes by using a slip casting device till the cement paste cannot be injected any more; (3) cleaning cabin and exchanging tool synchronously: manually cleaning the cement plaster solidified inside the soil cabin and synchronously exchanging the tool mounted on the shield machine; and (4) getting rid of the difficult position of the shield machine and recovering the process. The method provided by the invention has the advantages of reasonable design, convenience for operation, low cost, high safety factor, good use effect and capable of solving the problem that the tool cannot be exchanged in the traditional tool exchanging mode under severe tool exchanging conditions.

The invention provides a method for counting passenger flow of buses in real time, which adopts means of machine learning, multi-target detection and tracking, target behavior analysis and the like, and belongs to the technical field of pattern recognition. The method comprises the following concrete steps: detecting passenger targets by analyzing shape information and texture information of passenger heads in video images, wherein a column diagram in a gradient direction is used for representing the shape information, and a column diagram in a local binary mode is used for representing the texture information; then, accurately positioning passengers by adopting the target tracking policy combining gray level cross-correlation matching tracking and mean translation algorithm searching tracking; and finally, judging the behavior characteristics of the passengers by analyzing the moving tracks of the passengers, thereby accurately counting the passenger flow of buses. The practice shows that the method provided by the invention can provide an accurate and reliable basis for realizing intelligent scheduling of buses for bus companies, analyzing the acceptability of mobile media advertisements in buses, and the like, and the invention has very high practical value.

The invention discloses a tunnel arch center installation operation vehicle. The tunnel arch center installation operation vehicle comprises a machine frame, a travelling mechanism, a traction mechanism, an arch center lifting device for lifting tunnel arch centers which are arranged on the rear part of the machine frame and are needed to be installed one by one, and an arch center transferring mechanism for transferring the arch centers which are lifted by the arch center lifting device one by one through alignment and adjustment; the arch center transferring mechanism comprises a translating trolley which can move forward and backward on the upper part of the machine frame, a lifting mechanism for stably lifting the tunnel arch centers, and a left and right movement mechanism for driving the lifting mechanism to synchronously move left and right; and the translating trolley, the left and right movement mechanism, and the lifting mechanism align and adjust the tunnel arch centers front and back, right and left and up and down respectively. The tunnel arch center installation operation vehicle has a reasonable design, is convenient to assemble, and easy and convenient to operate, safe and reliable in working performance, and good in a using effect, and can solve the problems of large working difficulty in movement and accurate positioning of steel arch centers after lifting during the installation of the conventional steel arch centers, low installation efficiency, large labor intensity and the like.

The invention provides a method for simultaneously measuring high-pressure gas absorption capacity and adsorption sell capacity of coal petrography and measuring equipment, which can simultaneously measure the adsorption capacity and adsorption swell capacity of the coal petrography in high-pressure gas at a pressure of 0-20MPa and a temperature of 0-80 DEG C. In the process of measurement, a measurement and control device is used for performing signal transformation and analog-to-digital conversion on electrical signals of a displacement sensor, a temperature-measuring hot resistor and a pressure transmitter; a computer is used for automatically receiving pressure, temperature and displacement signal data from the measurement and control device and recording and saving the received data; and a computer screen is used for displaying the pressure, temperature, adsorption capacity and swell capacity data timely in the process of measurement and the change law curves of the pressure, the temperature and the swell capacity with the change of time in real time. In the method of the invention, the measurement on the adsorption capacity and the adsorption swell capacity can be finished simultaneously, so that the method is simple and convenient and fast, and has the advantages of simple structure, reliable and safe high-pressure seal, easy operation, high measurement accuracy, high resistance to pressure and automatic measurement.

The invention relates to a text classification method of a Chinese web page based on steam clustering, belonging to the technical field of internetwork data mining. The text classification method comprises the following steps of: acquiring a web page in real time; removing unprocessed labels in the format of the web page, and analyzing the characteristic information of texts of the web page; segmenting the content of the texts, using as ngram participles, and forming a plurality of word strings; computing the weight value of each word string; extracting the word string with a high weight value, and using the word string with the high weight value and the corresponding weight value thereof as characteristic vectors; computing the similarity of the characteristic vectors and characteristic information and a known class; computing obtained total similarity, and classifying the texts to the know class or establishing a new class; judging whether the know class is divided into two subclasses or not according to the number of characteristic items of the known class; and storing processed text records and the information of the known class. The text classification method sufficiently excavates the effective information of web page texts aiming at the characteristics of the web page texts and is incremental, fast, effective and more practical.

The invention discloses an image classification method based on a visual dictionary and relates to the technical field of digital image processing. The image classification method comprises the following steps of: 1, extracting a union partial characteristic of a training image data set; 2, performing vector vectorization on the union partial characteristic by using a clustering algorithm based on a moving mean value and a regional hash method so as to select the number of clustering centers and form the visual dictionary; 3, generating a characteristic expression of images according to the visual dictionary so as to build an image classifier; and 4, classifying the images in the training image data set according to the image classifier. By the image classification method, the visual dictionary having the discrimination can be obtained, so the classification method is adaptive to the sample space distribution of the image data set, high in resistance of affine transformation and lighting variation, robustness to partial abnormity, noise interference and complicated backgrounds, universality and practical value, and can be applied to classification of various images.

The invention relates to a method for planting pollution-free rice rich in selenium by adopting biotechnology, belonging to a planting method of plants; the planting method comprises the steps of land selection, soil preparation, application of the soil activator Medina, variety selection and seed treatment, seedling strengthening by means of dry raising and spaced planting cultivation, timely rice transplanting and reasonable compact planting, adequate fertilization, scientific irrigation, adoption of selenium supplementing and transforming technology, comprehensive prevention and control of diseases and pests, harvesting and threshing, drying and storing. The method of the invention has obvious effect; proved by field production trials, the application of the biologics of the Medina can increase the plant yield by 20 percent to 40 percent and decrease the fertilizer dosage by 25 percent to 50 percent and improve the rate of emergence in saline and alkali waste lands by 40 percent to 80 percent; the method can overcome diseases of continuous cropping effectively, eliminate soil crusting and optimizing greenhouses, etc. so as to preserve the soil properties of land capability.

The invention relates to a micro-structure fiber optic Fabry-Perot cavity quasi based quasi-distributed sensor, which comprises a broadband light source (1), a fiber optic circular (2), a plurality of sensor units (3), a sensor-based optical fiber (4), an optical spectrum analyzer (5) and a data processor (6), wherein each sensor unit (3) is a micro-structure fiber optic Fabry-Perot cavity, and the sensor units are connected in series and are integrated on the sensor-based optical fiber (4); and three ports of the fiber optic ring device (2) are respectively connected with the broadband light source (1), the sensor-based optical fiber (4) integrating all sensor units, and the optical spectrum analyzer (5), and the optical spectrum analyzer (5) is connected with the data processor (6). The micro-structure fiber optic Fabry-Perot cavity quasi based quasi-distributed sensor has the advantages of large sensing capacity, simple structure, low cost, wide application prospect and the like.

The invention relates to an abnormal power consumption detection method based on a neural network. The method diagnoses and analyzes an operation condition of equipment based on an established abnormal power consumption detection model, judges whether metering equipment is in a normal operation condition and realizes an aid decision-making function. The method concretely comprises the following steps of (1) data acquisition: data are mainly from electric energy metering data, operation condition data and event recording data in an electric energy meter and an acquisition terminal; (2) data cleaning: the used data can enter the model after being subjected to data cleaning and screening; (3) data classification: after data cleaning completes, the data are calibrated, one column of numbers for representing data classification is added at the end of the data for classification, and the data subjected to data calibration are integrated into training data; (4) a modeling process: an algorithm model is constructed in a manner of supervised learning; (5) model implementation; and (6) result analysis: the final accuracy rate of abnormal power consumption found by the model maintains at a high level.

The invention relates to the field of oil-gas field exploration and development, particularly to a quantitative forecasting method of tectonic fissure occurrence. The quantitative forecasting method includes firstly determining a fissure mechanical property and rock mechanics parameters in a research area and restoring a paleotectonic map; secondly performing a numerical simulation of a paleostress field; thirdly selecting an appropriate rock failure principle according to the simulated paleostress field and the fissure mechanical property, and forecasting the best occurrence and the second-best occurrence of paleofissures on the basis of plane shearing strength distribution or profile shearing strength distribution of the stress field in the research area; coupling spatial positions of the paleorock stratum and the current rock stratum based on the simulated ant tracing technique, and then establishing a spatial switching theoretical model of the paleorock stratum and the current rock stratum; performing the quantitative analysis of fissure kinematics characteristics, and forecasting the occurrence of the current fissures according to that of the paleofissures.

The invention belongs to the computer vision and intelligent identification technology field and especially relates to a cow face identification method based on a convolutional neural network and a classifier model. A last hidden layer of the convolutional neural network is a fully-connected layer containing 32, 64, 128, 256 or 512 nerve cells and is used for extracting a characteristic. And then, the classifier model is used to complete identification of a cow individual. When there is a newly-added cow, image data of the cow only needs to be collected, the data is input into a convolutional neural network model, and a characteristic is extracted and is added to an original classification model so that identification can be performed; and the convolutional neural network model does not need to be retrained. In the invention, the convolutional neural network model of a 64-dimension characteristic extraction layer is selected, sparsity is used to express a classification model, training data 24000 pictures and test data 6000 pictures of 30 cows, which are randomly selected, are tested, and a result shows that identification time is shortened through using the method; average time consuming for identifying each cow is shortened to 0.00022s; and an identification rate reaches more than 99%.

The invention discloses a method for analog computation of concentration of a pollutant in a sensitive area. The method is as follows: 1) establishing a coordinate system according to the position of a predicted point of the sensitive area, and determining the position of a non-point source pollution source and coordinates of the predicted point; 2) determining the surface source height of the pollution source; determining the wind speed at a discharge site according to the surface source height; 4) determining diffusion parameters; 5) establishing a diffusion model, and inversely calculating emission source intensity of the pollutant according to the concentration of the pollutant at a monitoring point; 6) positively calculating the concentration of the pollutant at the predicted point according to the emission source intensity, and superimposing environmental background value to obtain the actual concentration value of the predicted point; and 7) comparing the positively-calculated concentration, obtained in the step 6), of the pollutant at the predicted point and a environmental standard to judge whether the concentration of the pollutant exceeds the standard. The concentration of the pollutant can be in real time monitored by means of an air automatic monitoring station built in the periphery of an industrial park. By setting up of the pollutant diffusion model, a calculation scheme for the concentration of the pollutant in the sensitive area can be formed, and diffusion of the pollutant in the industrial park can be forecasted and warned when emission source intensity is unknown.

The invention relates to a medicine reminder system for patients, comprising an intelligent medicine reminding monitoring terminal, a sphygmomanometer or glucometer, a remote server and an input device. The intelligent medicine reminding monitoring terminal and the input device are both communicated with the remote server. The intelligent medicine reminding monitoring terminal is communicated with the sphygmomanometer or glucometer. A user establishes a patient's prescribing information and a blood pressure and / or blood glucose measurement time schedule in the remote server through the input device and transits the information and the schedule to the intelligent medicine reminding monitoring terminal to acoustically remind the patient of taking medicines and measurements; after measuring, the intelligent medicine reminding monitoring terminal transmits data to the remote server, which performs comparative analysis and judges whether the patient takes the medicines correctly or not; once an anomaly is discovered, the intelligent medicine reminding monitoring terminal transmits an acoustic request on checking types and amounts of residual medicines and displays the types and amounts of the residual medicines. The medicine reminder system for patients has the advantages such that the patient can be acoustically reminded for taking the medicines automatically, and whether the medicines are correctly taken or not can be monitored.

The invention discloses a special saline-alkali-soil improvement fertilizer prepared by modification with flue gas desulfurization gypsum and a preparation method thereof. The special improvement fertilizer comprises the following components in parts by weight: 40-80 parts of flue gas desulfurization gypsum, 1-3 parts of citric acid, 0.5-1.5 parts of magnesium sulfate, 1-5 parts of aluminum sulfate, 1-5 parts of ferrous sulfate, 10-30 parts of weathered coal, 10-20 parts of cattle manure or chicken manure, 1-5 parts of urea, 0.5-2.5 parts of ammonium sulfate, 1-3 parts of potassium sulfate, 1-3 parts of monoammonium phosphate, 0.1-0.5 part of zinc sulfate, 0.1-0.5 part of manganese sulfate and 3-10 parts of bentonite. The fertilizer is reasonable in design, provides an effective solution for inland saline-alkali soil of China, and has higher practical value and wide market prospects.

The invention provides a video-based vehicle overspeed monitoring method and a video-based vehicle overspeed monitoring system. The method comprises the following steps: firstly, performing standardization and enhancement on originally acquired images through image pretreatment; then, acquiring the vehicle speed of a dynamic target through dynamic target segmentation, the dynamic target tracking and the vehicle speed measurement, and judging whether the dynamic target is overspeed through the vehicle speed; and finally, finishing the identification of the plate number of the dynamic target and transmitting the data to a monitoring center through the plate number positioning and character recognition. The video-based vehicle overspeed monitoring system realizes full-automatic monitoring and networking, and has convenient erection, low cost and higher practical value. The video-based vehicle overspeed monitoring system has strong universality, strong openness, and strong extensibility. In addition, the video-based vehicle overspeed monitoring system is unnecessarily embedded with a wayside induction coil, adopts video to detect the overspeed state in a non-contact way, integrates the vehicle speed measurement and the plate number identification at the front end of the system, and has low requirement on the communication bandwidth.

The invention relates to a method and a device utilizing sulphur hexafluoride pressure oscillation to judge the failure of high-voltage sulphur hexafluoride electric installation. The method comprises the following steps: a sensor which is installed in an SF6 chamber of the equipment in advance and a digital signal processing device consisting of a later-period circuit detect the gas change condition in the chamber so as to obtain information of inside pressure, temperature raising, humidity, and the like; once gas failure occurs inside the equipment to cause certain item or a plurality of items of parameters to raise to a certain limit, the digital signal processing device can send out an alarm signal to prompt the possible occurrence of equipment failure, therefore, failure can be discovered in the earlier period. The digital signal processing device used for realizing the method comprises a signal conditioning module, a main control module and an output display module, can monitor the valuable state parameters of the SF6 gas, has the advantages of simple and reliable structure, little interference, good economical efficiency, high application value, and the like, and meets the actual need of the electric power system and the requirements of the development of modern industry.

The invention discloses an automatic cutting control system and an automatic cutting control method for a coal cutter. The control system comprises a controller, a data storage device, a working condition detection apparatus for the coal cutter and a control host. The working condition detection apparatus for the coal cutter comprises a walking displacement detection unit, an angle detection unit one for detecting the swing angle of a right rocker arm, an angle detection unit two for detecting the inclination angle of a working face, an angle detection unit three for detecting the swing angle of a left rocker arm, and an angle detection unit four for detecting the upward or downward angle of the coal cutter. A left height adjustment oil cylinder and a right height adjustment oil cylinder are both controlled by the controller. The control method comprises the steps of: 1) learning and memorizing the cutting trace of the currently working coal seam; 2) accomplishing the automatic coal cutting according to the memorized trace, and adjusting the memorized trace in real time; 3) repeating step 2) until all the exploration processes of the currently working coal seal is finished. The system of the invention is advantageous by a simple circuit, a reasonable design, a convenient control method, and good application effect, and can realize the automatic cutting control of the coal cutter.