7445results about How to "Strong reliability" patented technology

The solar cell board anti-theft device is jointed with a solar power supply system controller, which comprises a alarming-signal generation unit to detect position conditions of the solar cell board and generate a alarming-signal to the solar power-supply system controller while detecting the cell board far away from safety range, an alarming unit for receiving the instruction signals sent from the solar power-supply system controller to conduct local photo-acoustic alarming.

The invention discloses a resource transfer method and apparatus, and belongs to the technical field of networks. The method comprises the steps of generating a contract corresponding to a first account on a first block chain node when a cross-chain resource transfer request of the first account is received, wherein the cross-chain resource transfer request is used for requesting to transfer resources of the first account to a second account, and the contract is used for indicating event execution conditions in a current resource transfer process; based on the contract, when the first block chain node reaches a consensus for a contract generation event, transferring the resources in the contract to the second account; and based on the contract, when a second block chain node reaches a consensus for a resource transfer event, updating a contract state of the contract to a finished state, and reaching a consensus for a state updating event of the contract through the first block chain node, wherein a first block chain serving the first account is different from a second block chain serving the second account. The invention provides the method for performing resource transfer among the accounts served by different block chains.

The invention discloses a collaborative interaction method for an unmanned plane cluster and a visual navigation system of an unmanned plane. The collaborative interaction method for the unmanned plane cluster comprises the following steps of: determining unmanned planes satisfying a collaborative condition in a communication coverage area of a certain unmanned plane by the unmanned plane in the unmanned plane cluster, and establishing an unmanned plane collaboration group according to the unmanned planes satisfying the collaborative condition; determining inter-plane routes of multiple unmanned planes in the unmanned plane collaboration group; allocating collaborative tasks to multiple unmanned planes in the unmanned plane collaboration group according to link state information of the inter-plane routes; and evaluating the link state according to the motion state of multiple unmanned planes in the unmanned plane collaboration group, and updating unmanned planes in the unmanned plane collaboration group and the collaborative task of each unmanned plane according to an evaluation result. The collaborative interaction method for the unmanned plane cluster is good in real-time, strong in reliability and high in communication quality, and can better adapt to an unmanned plane cluster communication environment during visual navigation.

The invention relates to a sensitive information desensitization method and system for data sharing. According to the method, by adopting statistics, a natural language processing technology and a machine learning technology, the protection of sensitive data in the whole process from data publishing to data application and usage, and automatic identification of sensitive information of such as named entities and addresses is put forward on the basis of the establishment of a sensitive information keyword library, named entities, addresses and the like is put forward; a Sigmoid function is used for calculating the correlation degree of sensitive attributes; a desensitization strategy is carried out in a combined mode of establishing a sensitive attribute generation rule library and adopting a named entity desensitization rule and a core desensitization algorithm; deep desensitization calculation is conducted in combination with numerical sensitive attributes and classified sensitive attributes separately, the desensitization degree of a whole data set is obtained, and the controlled output of data and the like are achieved by downloading a link address hash; thus, the safety of data sensitive information and a sensitive information processing strategy which meets analysis and mining requirements to the maximize degree can be ensured, and the method and system have the advantages of being good in desensitization effect, high in reliability and the like.

A robot airplane for tour inspection of power line in counterwise driving structure of coxial double propeller uses two engines to control flight stability, GPS and GIS to confirm flight path, computer processor to adjust flight attitute and battery to provide power for motor, transducer and data link system. Its control system consists of navigation system, autonomous planning system, data link system and on line detection system.

The invention discloses a method for locating a vehicle license plate in complex background. The method comprises the following steps: (1). Differentiating a gray scale mean of a fixed-size region and extracting a vehicle body image from a video; (2). preprocessing the vehicle body image such as gradation, gradient information enhancing, binarization and the like; (3). performing mathematical morphology operation on the processed vehicle body image, and performing primary screening by combining structural features of the vehicle license plate to obtain a plurality of candidate vehicle license plate regions; (4). converting the obtained candidate vehicle license plate regions into an HSV color spatial image; (5). adopting a BP neural network to perform color identification on the HSV color spatial candidate vehicle license plate image, and performing color edge detection by computing the mean color distance between two adjacent regions of a certain pixel; (6). judging edge color pair of an edge point, and eliminating the false vehicle license plate edge; and (7). performing final vehicle license plate location by the texture feature of the vehicle license plate. The method is suitable for complex background, and has higher location accuracy rate and higher robustness.

The invention discloses an analytic hierarchy process-fuzzy comprehensive evaluation-based chemical project environmental risk evaluation system and belongs to the field of environmental risk control and management. The system comprises the following steps: (1) establishing an environmental risk evaluation index system; (2) dividing the evaluation levels of the environmental risk evaluation index system, determining the standards for evaluation of indexes under different levels, and scoring the indexes; (3) determining the weight of individual index by applying the analytic hierarchy process; (4) carrying out environmental risk comprehensive evaluation by virtue of fuzzy comprehensive evaluation to obtain a decision set; and (5) evaluating the decision set according to the maximum membership principle to obtain the environmental risk evaluation level. According to the technical scheme disclosed by the invention, the system is suitable for risk evaluation of environmental behaviors in all chemical project production processes, can be used for comprehensive risk evaluation, and is comprehensive in evaluation range, perfect in method and system, accurate in evaluation system and good in feasibility.

The invention discloses a household security system and a household security method. The system comprises a 3G network control module and an electronic door lock module, wherein the 3G network control module is used for implementing wireless video session, short message communication control and intrusion information reminding with a householder, implementing wireless video session and intrusion information reminding with a cell security management system, and implementing wired video session and intrusion information reminding through a bandwidth network and a network interface of the cell security management system; and the electronic door lock module is used for implementing door opening, visitor reminding and identification. The intelligent level and the safety performance of the household security system are improved, the expansion performance of the whole security system is improved, and the problem that a common security system needs a great number of communication cables due to the adoption of wireless transmission technology is solved at the same time.

The invention provides a traffic jam avoiding prompting system based on a collective intelligence network. The traffic jam avoiding prompting system consists of a webpage traffic hot spot digging module, a microblog traffic hot spot digging module, a road condition rule predicting module, a jam hot spot verification and management module, a real-time traffic hot spot server, a traveling route planning module based on hot spot avoiding, a traffic hot spot and avoiding route display module and intelligent mobile phone end application software. The traffic jam avoiding prompting system faces the collective intelligence sensing network, is combined with the traditional traffic information sources, carries out digging and prediction on the urban traffic hot spots on the basis of the data activation technology, and further provides the traffic jam hot spot display and avoiding prompt service for intelligent terminal users. The traffic jam avoiding prompting system has the advantages that the data is from the multi-source collective intelligence network, the accuracy is good, the checking comprehensive rate is high, the hot spots are captured and fed back in real time, high efficiency and practicability are realized, the design is good, the operation is stable, the installation is convenient, the traffic jam avoiding prompting system can become a tool capable of providing wide and practical intelligent traffic information for urban residents, and the efficient information prompt is provided for the users to realize the smooth traveling.

The invention discloses an electric pressure pot. The electric pressure pot includes an outer pot body, a supporting part, an inner pot body and an electromagnetic heating disc; the supporting part isarranged in the outer pot body and supported on the bottom wall of the outer pot body; the inner pot body is arranged in the outer pot body and supported on the supporting part; the electromagnetic heating disc is used for heating the inner pot body and arranged between the outer bottom surface of the inner pot body and the inner bottom surface of the outer pot body, and the upper surface of theelectromagnetic heating disc is provided with a waterproof layer. The electric pressure pot has the advantages of being low in thermal inertia, great in controllability, high in reliability and the like.

The invention discloses an electric pressure cooker. The electric pressure cooker comprises an outer pot, a rigid supporting piece, an inner pot and an electromagnetic heating device, wherein the rigid supporting piece is arranged in the inner pot; the inner pot is arranged in the outer pot and supported on the rigid supporting piece, and under the support of the rigid supporting piece, the outer bottom face of the inner pot is spaced from the inner bottom face of the outer pot; the electromagnetic heating device is used for heating the inner pot and arranged between the outer bottom face of the inner pot and the inner bottom face of the outer pot; the electromagnetic heating device comprises an electromagnetic heating plate, and the projection of the electromagnetic heating plate is staggered with the projection of the rigid supporting piece in the horizontal direction. The electric pressure cooker has the advantages of being low in thermal inertia, good in controllability, high in production efficiency, good in heating effect, high in reliability and the like.

The invention discloses an electric pressure pot and a supporting part of the electric pressure pot. The electric pressure pot includes an outer pot body, the supporting part, an inner pot body and anelectromagnetic heating disc; the supporting part is arranged in the outer pot body and supported on the bottom wall of the outer pot body; the area of the lower surface of the supporting part is smaller than or equal to that of the upper surface of the supporting part; the inner pot body is arranged in the outer pot body and supported on the supporting part, and moves downwards to discharge pressure when the pressure inside the inner pot body reaches a preset value; the electromagnetic heating disc is used for heating the inner pot body and arranged between the outer bottom surface of the inner pot body and the inner bottom surface of the outer pot body. The electric pressure pot has the advantages of being low in thermal inertia, great in controllability, high in reliability and the like.

The embodiment of the invention discloses a method for identifying a medical image. The method comprises the steps that a to-be-identified medical image set is obtained, wherein the to-be-identified medical image set comprises at least one to-be-identified medical image; a to-be-identified area corresponding to each one to-be-identified medical image in the to-be-identified medical image set is extracted, wherein the to-be-identified area belongs to a part of the to-be-identified medical images; the recognition result of each to-be-identified area is determined through a medical image recognition model, the medical image recognition model is obtained according to training of a medical image sample set, the medical image sample set comprises at least one medical image sample, each medical image sample carries corresponding annotation information, the annotation information is used for indicating the types of the medical image samples, and the recognition result is used for indicating the types of the to-be-identified medical images. The embodiment of the invention also discloses a method for model training and a server. The method for identifying the medical image, the method for model training and the server greatly save the manual annotation cost and time cost, and have stronger reliability and credibility.

The invention discloses an elevator inner-brute force device based on image and voice recognizing technology, which comprises the following parts: video sensor, voice receiver and monitor central computer to monitor elevator, wherein the video sensor and voice receiver connects monitor center computer through wireless network equipment, which contains display mode to display real-time elevator video data, the video sensor connects monitor central computer through wireless network exchanging equipment, which is warless LAN center, the computer contains microprocessor with image reading mode, image variation calculating mode, connecting area calculating mode, judging mode in the elevator to judge whether the accident occurs.

The invention relates to the technical field of medical equipment, and in particular relates to an automatic control transfusion device and an automatic control method thereof. The automatic control transfusion device comprises a transfusion system and an automatic control system, wherein the transfusion system comprises a hanging support, transfusion bags and a transfusion apparatus; and the automatic control system comprises a force sensor, an on-off control device and a control unit. The method comprises the following steps of: detecting weights of the transfusion bags, calculating the liquid remaining quantity according to the weights of the transfusion bags, cutting off a transfusion pipeline and giving an alarm when the liquid remaining quantity is less than a threshold value. The automatic control transfusion device and the automatic control method thereof, disclosed by the invention, have the advantages that: the alarm can be given early and the transfusion pipeline can be automatically cut off when the liquid is going to drip off; the automatic switchover between the transfusion bags can be controlled; manual operation of medical workers is not needed; and the alarm adopts a plurality of types such as sound, light and the like, different alarm sounds and lights can be set according to different situations, the reliability is strong and the transfusion safety can be fully guaranteed.

The present invention is objective, quantitative and precise method of predicting serious complication risk degree after gastric cancer operation. The method includes the following steps: 1. screening out factors affecting the serious complication after gastric cancer operation through overall single factor analysis; 2. determining the prognostic determining factor through two-value multiple non-conditional logic regression analysis; 3. determining the optimal prediction value dividing value through the work characteristic analysis on the testee; and 4. establishing the predicting model with main risk factor as the independent variable and judging the serious complication risk degree after gastric cancer operation by means of the prediction probability. The present invention is one objective and quantitative intelligent risk evaluation system.

The invention provides a central air-conditioning control system and a control method thereof, and belongs to the technical field of air-conditioning systems. The central air-conditioning control system comprises a universal equipment model library, an equipment performance testing module, a comfort level evaluating module, a genetic algorithm multi-objective optimization control module and an execution module. An actual measured method is used, a system model is established, and the central air-conditioning control system is high in precision and high in reliability and is adaptive; a genetic algorithm is used, multi-objective optimizing can be realized, the optimizing efficiency is high, the comfort level is high, energy is saved, and the cost is low; whether a user feels comfortable or not can be intelligently judged by a user behavior recognition mode, and control objectives are adjusted in time; and the control method can be optimal on the basis of environmental change, particularly at the transition season, the equipment efficiency can be greatly improved, and energy conservation and emission reduction are realized.

The invention discloses a standard pose calibration method for a six-degree-of-freedom parallel robot used for a Stewart platform structure. The method comprises the following steps: establishing a base coordinate system {O} and a motion platform coordinate system {P}; under the condition of six-degree-of-freedom parallel robot open chain organization, calibrating position coordinate vectors of Hooke hinge centers and spherical hinge centers of the parallel robot in the{O} and the {P} respectively; selecting three mark points on a motion platform and measuring local coordinates of the mark points in the motion platform coordinate system; installing an optocoupler limit switch at the push rod extending end of an electric cylinder of each supporting leg, and assembling the parallel robot to form a closed chain organization; controlling each supporting leg of the six-degree-of-freedom parallel robot to shorten slowly at a constant speed until each optocoupler limit switch is triggered and stimulates the six legs to stop moving successively, and thus the standard pose of the motion platform is generated; measuring the three mark points on the motion platform, ad calculating the standard pose of the parallel robot; and calculating the initial length of the supporting leg corresponding to the standard pose according to the standard pose. With the method, repeated positioning accuracy is high and reliability is high.

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 relates to a point cloud data partitioning method based on three-dimensional laser radar. The method comprises the following steps of: (1) establishing a radar coordinate system oxyz of tested vehicles; (2) preprocessing the radar data acquired by the laser radar, establishing a region of interest under the radar coordinate system oxyz and filtering out ground noise; (3) establishing an image coordinate system o'uv, and defining the mapping relation between the radar coordinate system oxyz and the image coordinate system o'uv; (4) testing vehicles on a radar cloud picture directly by using an image processing algorithm, and characterizing all tested vehicles (except the testing vehicles) in the region of interest by using a bounding box so as to obtain four vertex coordinates of the bounding box of the tested vehicles under the image coordinate system o'uv; and (5) mapping the four vertex coordinates of the bounding box under the image coordinate system o'uv in step (4) to the radar coordinate system oxyz according to the coordinate mapping model so as to obtain the shape vector parameters of the tested vehicles according to the position vector parameter of the tested vehicles. The method is high in operation efficiency, test precision and reliability, and can be widely applied to the technical field of vehicle environment sensing.

The invention relates to a running track prediction method aiming at a specific vehicle potential group. The running track prediction method comprises the following steps: looking up the potential group vehicle of a certain specific vehicle by using the original traffic data when the specific vehicle is discovered; judging whether the potential group vehicle is the specific vehicle; increasing the risk coefficient of the vehicle when the potential group vehicle is not the specific vehicle; adding a license number of the vehicle into a specific vehicle list when the risk coefficient of the potential group vehicle exceeds a predetermined threshold value; predicting a running track of the vehicle if the license number of the vehicle is added into the specific vehicle list; performing mode extraction on a running record of the specific vehicle by using a class Apriori algorithm to generate a rule set R during track detection; judging whether a final passing barrier of the specific vehicle exists in the generated rule set R; and looking up a prediction path of the specific vehicle according to the corresponding rule in R if the barrier exists in the rule set R, and otherwise, predicting the running track of the specific vehicle by establishing a Bayesian network of the final passing barrier of the specific vehicle. The prediction result provided by the invention can provide effective technical support for the decision making of related departments and the safety guarantee of urban roads.

The oscillating tooth gear is designed according to the ''sliding vane stepless deformation principle'', its working surface is made up by coinciding lots of sliding vanes (sliding needles), it can utilize sliding vane free stepless slippage to form any shaped meshed tooth profile. Because the slippage direction of sliding vane is different from its stress direction, the sliding vane can be freely deformed with current meshed tooth profile, and the stress direction when the power is trans ferred is perpendicular to free slippage direction or its included angle is in the equivalent frictional angle, so that said sliding vane has the self-locking property, and when the stress is borne by it, it does not change tooth profile form, all the sliding vanes can be formed into an integrated elastic closed ring, therefore it has strong bearing capacity and high transmission efficiency.

The invention relates to an electronic-control vehicle remote diagnosis system, comprising a vehicle-mounted diagnosis terminal which is respectively arranged on each vehicle and communicates with a VMS whole-vehicle controller through CAN bus; a CCP protocol module is respectively arranged in the vehicle-mounted diagnosis terminal and the whole-vehicle controller; and the vehicle-mounted diagnosis terminal reads failure information collected by the whole-vehicle controller through the CCP protocol module, and feeds the failure information back to a background monitoring service device through wireless communication network. The invention also provides a diagnosis method of the electronic-control vehicle remote diagnosis system. The invention adopts the CCP standard protocol, utilizes the vehicle-mounted diagnosis terminal to read the failure information monitored by the VMS whole-vehicle controller in real time, and sends the failure information to the background monitoring service device, thus effectively solving the problems of monitoring and failure diagnosis and the like in development and after-market operation, being beneficial to improving vehicle quality, and having convenient application and high reliability.

The invention discloses a device used for quick online nondestructive detection on cracks of poultry eggs on the basis of acoustic characteristic and a method thereof; the poultry egg is arranged on a supporting idler wheel; a stepping motor is connected with the supporting idler wheel and drives the supporting idler wheel; a microphone which is arranged beside the poultry egg is sequentially connected with a computer by a signal amplifier, a filter and an A / D converter; when the poultry egg rolls on a chain, different parts of the poultry egg are mechanically knocked at multi-point by a knocking rod; sound signals collected by the microphone are amplified by the signal amplifier, filtrated by the filter and converted by the A / D converter and subsequently input to the computer, thus comprehensively judging the cracking situation of the poultry eggs. The device and the method can adapt to poultry eggs with different types and different sizes, realize the classification and automatic detection of the poultry eggs during the production processing and circulation process, and can be popularized and applied to the nondestructive detection on the hardness and the maturity of agricultural products such as fruits, vegetables, and the like.

The invention relates to an intelligent power lithium ion battery management system. The system comprises a microcontroller module, an acquisition module, a storage module, a safety protection module, a communication module, a charging and discharging control module and an equalization management module, wherein the acquisition module, the storage module, the safety protection module, the communication module, the charging and discharging control module and the equalization management module are connected to the microcontroller module. The charging method comprises the following steps that according to a single battery voltage collected by the acquisition module, a total voltage of a battery pack, a temperature, a current and other information, whether the battery allows to be charged is determined; if the battery allows to be charged, the battery management system automatically adjusts a charging mode to the battery pack; through CAN communication, an output current of an equalization power supply module is automatically adjusted; equalization charging is performed on a single battery with a low voltage till that differential voltages of all the single batteries are less than a threshold. By using the system and the method of the invention, according to data information of the battery pack, a charging mode can be automatically selected, a charging current is automatically matched, a charging protection function is possessed, charging efficiency of the battery pack can be increased and a circulation service life of the battery pack is prolonged.

The invention relates to a mobile phone detecting, mark wrapping, measuring automatic product line and technical flow. The product line comprises an orderly arranged mobile phone inside parameter automatic detector, a mobile phone automatic mark wrapper and a mobile phone cell size difference automatic measurer. A discharge port end of the mobile phone inside parameter automatic detector is connected with an inlet point end of the mobile phone automatic mark wrapper. A discharge port end of the mobile phone automatic mark wrapper is connected with an inlet point end of the mobile phone cell size difference automatic measurer that is connected electrically. In the invention, the cell feed in, position, clamp detection, mark wrapping and difference measurement after the mark wrapping are completed automatically. The mark wrapping effect is good, stable, and strongly reliable. The invention is simple in operation, high in efficiency and automatic level, which reduces the product manufacturing cost greatly and improves product quality and manufacturing speed, work efficiency as well as lightens labor intensity of the workers and improves labor capacity.

The invention discloses a sewage treatment engineering monitoring system based on a wireless sensor network. The sewage treatment engineering monitoring system comprises a plurality of wireless monitoring substations, a wireless transmission system and a wireless monitoring master station, wherein the wireless monitoring substations are used for collecting relative information of field apparatuses of the sewage treatment engineering; the data and commands required to be transferred by the monitoring system are communicated through the wireless transmission system; the wireless monitoring master station comprises a monitoring software, a server, a client and an Ethernet switch; and the client and the server exchange data through the Ethernet switch, and the server is mainly used for storing and managing the data of the whole sewage disposal plant. Compared with a traditional PLC (Programmable Logic Controller) control system, the system has stronger data processing capacity and larger system storage volume; and each data collecting module has an independent controller, so that the system has a strong reliability. Compared with the traditional wired transmission systems, the wireless transmission system is utilized, so that the system has the advantages of low cost and convenience for mounting and debugging, etc.

The invention discloses equipment for cleaning a current-resistance submerged cage netting and a method for cleaning the current-resistance submerged cage netting. The cleaning equipment is characterized in that a current-resistance submerged cage comprises a circular cage floating collar and a netting installed on the cage floating collar; a guardrail tube is installed at the top of the cage floating collar, a floating collar track is installed on the cage floating collar through a first movable fixing support platform, a cleaning trolley with a cleaning shower is installed on the floating collar track, and the cleaning shower is connected with a movable host platform which can provide high-pressure water, electric energy and high pressure gas. According to the cleaning equipment, when the netting is cleaned, each position of the netting can realize the cleaning effect of 'cleaning with a hairbrush-flushing with high pressure water-cleaning with the hairbrush', the cleaned netting can be effectively ensured in cleanliness, meanwhile the cleaning effect can be achieved when relevant cleaning equipment is in a progressive process, and thus the cleaning equipment and the cleaning method are relatively high in efficiency.

The invention relates to a technique for roasting and dressing laterite nickel ore. The technique comprises the following steps that: raw ore is crushed, sieved and then roasted for the first time by use of a kiln; cold roasted sand powder is ground into fine powder; the fine powder is mixed well with carbonaceous additives and chlorinating agents and then pelletized to be pellets in a disk pelletizer; the pellets are dried by use of afterheat flue gas of the kiln and then enter a second kiln so as to be roasted; neutral or weak reducing atmosphere is adopted in the roasting process to inhibit the reduction of iron in laterite ore; roasting temperature is controlled below soft melting temperature; the roasted pellets are quenched with water under an airtight condition; water-quenched roasted sand is ground and then dressed so as to obtain nickel-cobalt concentrate; iron in tailings is recovered through high intensity magnetic separation and gravity separation; tail gas of a pellet-roasting kiln is subjected to vortex dust collection, neutralized with lime mortar and concentrated and then passes through a washing tower; and most of chlorinating agents are recovered after water-film dust removal. The technique is characterized by strong raw-material adaptability, simple process flow, low cost, environment-friendly property and the like.

The invention discloses an attention detection method with the combination of sight detection. The method includes face detection, eye closing detection, eye sight detection and head deflection detection, images are captured through cameras, and eye closing characteristics, head deflection characteristics and sight characteristics of students in each frame are analyzed to determine whether the attention of the students is focused. According to the attention detection method, with the combination of the sight detection method, the problems that the students are in head emmetropia, eyes are open, and the sight is in an area outside a computer screen are solved, the concentration condition of the attention of the students during online learning can be detected, the method is advantaged by high accuracy, good stability and high reliability, and the method is scientific and practical.