195results about How to "Avoid human intervention" patented technology

The invention relates to a vehicle anti-collision early warning system based on a vehicle-mounted sensing network. The vehicle anti-collision early warning system comprises an subject vehicle (SV) information module, a self-learning functional module, an information memory module, a vehicle collision judging module, an anti-collision early warning device module, a DSRC (Dedicated Short Range Communications) vehicle-vehicle communication module and a neighborhood vehicle (NV) anti-collision early warning system, wherein the SV information module consists of an information acquiring and processing module and a module including the ID (Identity) and the size fixed information of a vehicle; the information acquiring and processing module is used for exchanging data with the anti-collision early warning device module through the self-learning functional module and the vehicle collision judging module; the module including the ID (Identity) and size fixed information of the vehicle is used for exchanging data with the anti-collision early warning device module through the information memory module and the vehicle anti-collision judging module; and the information memory module is in DSRC wireless communication with the NV anti-collision early warning system of a surrounding vehicle through the DSRC vehicle-vehicle communication module. By adopting the vehicle anti-collision early warning system, the vehicle running state can be forecast, and the effectiveness and suitability of the anti-collision early warning system are enhanced.

The present invention relates to an image fusion method, in particular to a multimodal image fusion method, especially a multi-modal image fusion method based on a generative adversarial network and asuper-resolution network. The method is carried out according to the following steps of designing and constructing the generative adversarial network, wherein the network structure adopts a conceiveddepth residual neural network, and obtaining a generating model through the dynamic balance training of a generator and a discriminator; constructing the super-resolution network based on the convolution layer; inputting the multi-band / multi-mode source image into the generating model to obtain the preliminary fusion image; and then inputting the image into the trained super-resolution network toget the final fusion image with high quality. The method realizes the end-to-end neural network fusion of multi-band / multi-mode images, avoids the difficulties of image multi-scale and multi-direction decomposition and fusion rule design based on prior knowledge, and realizes the adaptive network fusion.

The invention discloses an automatic intelligent double cross limiting range combustion control method for a heating furnace, and belongs to the technical field of heating furnace combustion control. By combining temperature self-learning, fuzzy control and PI parameter self-learning, the intelligent double cross limiting range control in the combustion process of the heating furnace is realized,the problem of control accuracy of the combustion of the heating furnace is effectively solved, and a hot rolling production requirement is well met. The method has the advantages that: gas and air flow rates are reasonably, accurately and quickly regulated and controlled, the regulating function of a regulating valve is effectively realized, and the temperature of a hearth of the heating furnaceis reasonably and accurately controlled.

The invention discloses an iron and steel enterprise in-coming logistics management system based on internet of things and an achievement method. The system comprises a purchase order management module used for managing orders, a forecast management module used for generating corresponding metering and quality information according to the orders, a fitting management module used for information matching, verifying and card writing before an automobile is purchased, an in-coming quality management module used for building an information safeguard system, monitoring the whole process of inspection of in-coming goods of an iron and steel enterprise and encoding information bar codes, a port management module used for finishing interaction and data exchange of the in-coming logistics management system and other systems, a remote metering sub-system module used for a weighing apparatus of in-coming and out-going goods and building a remote metering system combining unmanned operation metering and remote metering, and a settlement platform system used for settlement of in-coming raw materials, fuel and auxiliary materials, alloy and the like with a supplier. Comprehensive and closed-loop tracking management is carried out on the in-coming goods through the management modules, logistic cost is reduced, and economic benefits of the enterprise are improved.

The present disclosure relates generally to improving the management and provisoning of configurable computing resources. Certain techniques are disclosed herein for managing and provisoning the configurable computing resources based on resource policies. One of the techniques includes receiving a resource submission from a user. The resource submission identifies a contributable resource. The technique may also include identifying a contribution policy for the resource submission, and sending, based on the identified contribution policy, one or more resource types of requestable resources to a client computing system associated with the user. The technique may also include receiving, from the client computing system, information indicating a selection by the user of a resource type of the one or more resource types of the requestable resources.

The invention provides an ecological environment remote sensing monitoring method. The method is used for monitoring ecological environment of a monitor area comprising a water body. The method comprises steps of S1, receiving and processing remote sensing image data of the ecological environment monitor area, and acquiring processed remote sensing data; S2, creating a water quality parameter inverse model, and inputting remote sensing data of step S1 into the model, and calculating water quality index of the monitor area; S3, calculating four remote sensing characteristic parameters of the monitor area: vegetation index, bare earth index, humidity index and ground temperature; and S4, creating an ecological environment comprehensive evaluation model of a water containing body by using a main component analysis method, and inputting five remote sensing characteristic parameters of steps S2 and S3 into the ecological environment comprehensive evaluation model of the water containing body, so as to monitor the ecological environment of the monitor area. In the method, the ecological environment is monitored by using remote sensing images, so that human intervention is prevented, andthe ecological environment is monitored more effectively and accurately.

The invention provides a method and a device for processing remote sensing data of a water environment. The method comprises the following steps of: receiving the remote sensing data of the water environment in a monitored region; calculating a remote sensing reflectivity image of water according to a regional coordinate data table, a remote sensor attribute data table and a regional attribute data table which are established in advance; extracting an objective masking image of the water from the remote sensing data of the water environment; calculating a water quality parameter and concentrate image corresponding to the remote sensing data according to a water quality parameter inversion model data table, a remote sensing reflectivity image of the objective water and a water objective masking image which are established in advance; establishing a remote sensing monitoring quality report of the water environment according to a water quality parameter and concentration image; and accordingly automatically forming a water quality parameter and concentration image and a remote sensing monitoring report of the water environment. Man-made intervention is avoided, and the efficiency of processing water environment monitored data is improved.

The invention discloses a system and method for automatically controlling the content of residual oxygen in a regenerative heating furnace and belongs to the technical field of control over combustion of heating furnaces. The system comprises a computer terminal, a programmable controller, a regulating valve, zirconium oxide analysis meters and a heat value analysis meter. A combustion section of the heating furnace comprises a first heating section, a second heating section and a soaking section, the zirconium oxide analysis meters are installed in the middle portions of the tops of all the sections, and the heat value analysis meter is installed in front of an inlet of a gas main. During combustion of the heating furnace, the actual air-fuel ratios are obtained through calculation according to the theoretical air-fuel ratios of the three sections, and optimal control over the content of the residual oxygen in a hearth is achieved by combining the zirconium oxide analysis meters with the heat value analysis meter for control. The system and method for automatically controlling the content of the residual oxygen in the regenerative heating furnace have the advantages that a gas and an air flow control valve is controlled reasonably, accurately and rapidly, the adjustment function of the regulating valve is effectively utilized, optimal control over the content of the residual oxygen in the hearth of the heating furnace is achieved, fuel is saved, and pollution is reduced.

The invention discloses an automatic control system for a temperature of a combustion section of a vertical type annealing furnace, and belongs to the technical field of metallurgical control of the annealing furnaces. The automatic control system comprises a computer terminal, a programmable controller, a combustion control unit, a regulating valve, a zirconium oxide analyzer and a heat value analyzer. The invention further discloses an automatic control method for the temperature of the combustion section of the vertical type annealing furnace. In a combustion process of the annealing furnace, the combustion section adopts a theoretical air-fuel ratio as the basis, and the zirconium oxide analyzer and the heat value analyzer are combined to obtain a practical use air-fuel ratio, so that optimal control on the strip steel temperature in the annealing furnace is realized. The automatic control system and the automatic control method have the advantages of improving the control precision of the temperature of the combustion section of the annealing furnace, guaranteeing smooth production, saving production fuels and reducing environmental pollution.

The invention relates to an automatic grading control apparatus of a power lithium battery. The automatic grading control apparatus comprises a battery loading unit, an automatic conveying unit, a bar code scanner, a battery OCV detection unit, a battery sorting unit, a battery storage unit and a central controller, wherein the central controller comprises a recognition module, a battery information storage module and a PLC control module, the recognition module and the battery information storage module form a signal connection, the battery information storage module and the PLC control module form a signal connection, the battery loading unit, the automatic conveying unit and the battery sorting unit are controlled by the PLC control module, and a power output terminal of the automatic conveying unit is connected with a conveying belt. The automatic grading control apparatus has the following beneficial effects that: grading is accurate, the system is stable, and human intervention is reduced; the apparatus can be used separately, and can further be integrated in a lithium battery production line; and the space is saved, on-site monitoring and data sharing can be achieved, special duty is not required, and system maintenance is convenient.

A converter station insulating co-operating design method of a high-pressure direct-current power transmission system belongs to a high-pressure direct-current power transmission system analyzing method, and aims at simplifying calculating working capacity, avoiding excessive man-made interference, and guiding users to highly-effectively finish insulating co-operating analysis. The converter station insulating co-operating design method comprises the lightning arrester configuration step, the system analysis step and the insulating co-operating step. The converter station insulating co-operating design method greatly simplifies the calculating working capacity of insulating co-operating analysis, avoids excessive man-made interference factors of users, and guides users to highly-effectively finish insulating co-operating analysis through a guiding mode.

The invention belongs to the technical field of short term power load forecasting, and discloses a power load forecasting method based on improved exponential smoothing and a gray model. The method includes the following steps: inputting original power load real-time data, and conducting a single exponential smoothing on the original power load real-time data, weakening the randomness of the original power load real-time data, such that the original power load real-time data approaches exponential development trend; predicting a smoothed sequence by using a gray forecasting model which optimizes background value; conducting inverse exponential smoothing on the forecasting result and returning the result to original power load data and a forecasting value at a next forecasting moment; determining whether the result reaches the requirements of knitting fitting errors, and outputting a forecasting result. According to the invention, the method expands the application range of the gray forecasting model, shortens search intervals, has higher forecasting reliability as high as 97%, can the meet requirements for maintaining the average error of short term power load forecasting at approximately 3% so as to address the problem of short term power load forecasting in future development of intelligent power grids.

The present disclosure relates generally to improving the management and provisoning of configurable computing resources. Certain techniques are disclosed herein for managing and provisoning the configurable computing resources based on resource policies. One of the techniques includes determining a value indicating a real-time demand for a resource within a resource pool based on an aggregate of request data. The aggregate of the request data is obtained from any number of previously received orders for services that included the resource as at least a part of enabling the service. The technique may also include generating or updating one or more demand policies for allocation of the resource based on the determined value indicating the real-time demand for the resource, pre-creating the resource based on the one or more demand policies, and allocating the pre-created resource to one or more users based on the one or more demand policies.

At present, the cathode stripping process as it is carried out today presents the disadvantage of being carried out manually or through equipment specially designed for this task, but inevitably it requires human intervention whether for stripping or classification. Due to the above a robot system has been developed to automate the process of cathode stripping process. The robotic system is composed mainly of a robotic manipulator (1) of at least 5 degrees of freedom, and a gripping mechanism (2) which allows to take a cathode, (3) from a feeding rack (4) located at one of its sides, and which moves the cathodes through a defined path to the stripping station (5), where synchronized with the carousel the cathode (3) stripping method from the base plate will take place in a sequential and programmed way through different operations of hammering, bending and separation. Then, the robotic manipulator (1) takes the base plate and moves it to the unloading rack while the cathode (3) is stored in pallet for being later moved. Additionally, this robotic system comprises a station for the removal of rejected cathodes and a station for the reposition of plates.

The invention relates to a system and a method for controlling the automatic coal injection of a blast furnace serial pot, which belongs to the technical field of the automatic coal injection of a blast furnace serial pot. The system comprises a hardware monitoring system and a software processing module. The system is characterized in that a Siemens PLC control system and an upper monitoring system is connected by a Profibus network to monitor the state of each coal injection process; the real-time data communication of model calculation and automatic regulation with coal injection is realized by an Ethernet; the software processing module mainly comprises a data acquisition module, a sampled data renewing module, a mathematical model coefficient correction module, a mathematical model calculation module, a fuzzy regulation module and a fast-regulation module; and all parts of the software processing module run on an industrial computer. The system and the method overcome the difficulty that a weighting result of a coal injection system of a serial pot is affected by numerous factors, use many mathematical methods to handle a weighting result of a coal injection pot, are combined with a mathematical model and fuzzy control and realize the automatic coal injection control of a blast furnace serial pot.

The method includes following steps: the finger-guessing module and heartbeat detected module are used to generate at random a main control node based on integer finger-guessing value; when the main control node gets away from cluster, the new cluster can automatically elect new main control node.

The invention discloses a turbo generator set vibration fault diagnosis method based on forward reasoning. After a diagnosed turbo generator set starts, a parameter detection device is employed to carry out real-time detection on related work parameters in a start and operation process of the diagnosed turbo generator set and synchronously sends the detection information to a vibration fault diagnosis device for automatic vibration fault diagnosis, vibration faults of the diagnosed turbo generator set are diagnosed level by level by the vibration fault diagnosis device according to the detection result transmitted by the parameter detection device in combination with the active power value of the diagnosed turbo generator set, and the fault diagnosis process comprises steps of 1, shaft vibration swinging value diagnosis; 2, start process vibration fault diagnosis; 3, zero load operation vibration fault diagnosis; and 4, loaded operation vibration fault diagnosis. The method is advantaged in that the steps are simple, and the method is reasonable in design, is convenient to realize, has good use effects, can conveniently and rapidly accomplish the online steam turbine vibration fault diagnosis process and can further realize accurate and reliable diagnosis results.

A system implementing a method for determining QoS degradations comprises:receiving alarms (a) from application layer or from network nodes of a MPLS network, including Passive Traffic Analyzer, Physical Layer Monitoring and MPLS OAM nodes,depending on the alarm, the system requests testing (d) for location and the network nodes answer back with location (e),once the fault is located, the system starts traffic restoration (h) via MPLS Signaling and receives the result (i),the system may need to consult the System Database, optionally query (b)—reply (c) step before requesting location, while query (f)—response (g) step is mandatory before restoration (h),once traffic restored, further testing by the network nodes and / or the application layer are triggered (j) by the system to ensure the correct overall QoS within the new network situation,a loop (i) of further restoration can be triggered by the system until a global stable non-degraded behavior is declared.

The invention discloses an automatic searching and shimming method based uneven magnetic field fitting linearity. The method includes: using a gradient echo pulse sequence to measure the uneven image of a spatial magnetic field, using the same to fit and represent the virtual spectrogram line and related performance indexes of the current magnetic field evenness; using the related performance indexes of the virtual spectrogram line as the evaluation standard for obtaining good or bad magnetic field evenness according to the multidimensional spatial vectors built by a shimming coil, performing multidimensional descending simplex method iteration search according to the evaluation standard, and returning the optimal shimming current. The method has the advantages hat during shimming, the performance indexes such as half-width and symmetry of spectrum can be fully considered; compared with the gradient shimming using gradient echo imaging, the shimming method does not need to consider measurement and fitting the shimming coil field graphs, and the shimming difficulty and limit requirements by the aid of gradient imaging are lowered; automatic fitting and searching and convergence conditions allows the method to get rid of complex manual configuration, and shimming speed and efficiency are increased.

The invention provides an automatic temperature control method for a rod material cold control system, and belongs to the technical field of rod material heat treatment. The method comprises the following control steps including temperature detection treatment: the effective value of actual temperature detection equipment is judged, and the actual detection value is corrected; automatic temperature regulation: the automatic temperature regulation is realized on the temperature after the pre-cooling section before the rod material fine rolling, and the automatic temperature regulation is realized on the cold bed inlet temperature of the rod materials. The problems of temperature control precision and stability of the rod materials are effectively solved. The method has the advantages that all cold control equipment realizes the automatic operation, and the distribution of the core part temperature and the surface temperature of the rod materials after the cold control automatic control is stable, so the intensity and the toughness of steel materials are improved, the steel material tissue is improved, and in addition, electric energy sources and water energy sources are saved through automatically controlling a cooling water pump and a valve group.

The invention discloses a human physiological parameter acquisition effective value self-starting method and system. The method includes: connecting blood pressure, electrocardiogram and blood oxygen testers to a human body correctly, and starting to acquire human physiological parameter data in real time one by one; comparing the data to thresholds, if the data reach starting thresholds, transmitting acquired blood oxygen saturation values, blood pressure pulse waves, heart rate values, pulse rate values, electrocardiograms and blood pressure values reaching the thresholds and serving as effective values into an analysis system to be analyzed and outputting results. The system comprises a device which is connected with the blood pressure, electrocardiogram and blood oxygen testers connected to the human body and used for acquiring the human physiological parameters. By the method and the system, automatic turning-on is realized without intervention of specialist physicians, intelligent self-starting is realized, burden is reduced for medical staff, convenience is brought to patients, detection efficiency is improved, and diagnosis effect is improved as well.

The invention discloses a PE bottle inspecting and sorting system based on machine vision. The PE bottle inspecting and sorting system comprises a conveying and transferring unit, a visual inspecting unit, a system control unit and a sorting execution unit; the conveying and transferring unit comprises a conveying belt platform and a sorting and placing platform; the visual inspecting unit comprises a first industrial camera, a second industrial camera, a ring light source and a backlight source, wherein the first camera and the ring light source are installed right above a conveying belt, and the second camera and the backlight source are perpendicular and are laterally placed on the two sides of the conveying belt; the sorting execution unit comprises a six-axis mechanical arm and a tail end executing clamping jaw; and the visual inspecting unit is connected to the system control unit, and the system control unit is connected to the sorting execution unit. The PE bottle inspecting and sorting system has the advantages that the structure is simple, the integration level is high, the robustness is high, installation is convenient, the inspecting and sorting efficiency is high, the safety is good, and flaw inspecting and sorting of PE bottles are effectively realized.

The invention provides an airplane wheel gear feeding and removal time detection system and method based on ADSB. The method includes the steps that 1, ADSB data is received in real time; 2, the wheel gear feeding and removal time of an airplane is analyzed and calculated according to the ADSB data. The method has the advantages that detection of the wheel gear feeding and removal time of the airplane is achieved, and human intervention during time detection is avoided; the problem that detection standards are not uniform is solved based on ADSB data detection; calculation is carried out in real time according to the updated ADSB data, and the precision of detection of the wheel gear feeding and removal time is improved. A complete set of scheme is provided, through the scheme, passengers can know the status of the airplane, taking-off and landing time of the airplane can be provided for the passengers as soon as possible, waiting time is shortened for the passengers accordingly, service quality is improved, and the competitiveness of an airport is enhanced.

The invention discloses an automatic lithium battery picker. The automatic lithium battery picker comprises a base, a jacking device, a picking device, a controller and a computer, wherein a main conveyor belt which is utilized as a picking station, an auxiliary conveyor belt which is utilized as an NG battery station and double guide rails arranged above the main conveyor belt and the auxiliary conveyor belt are paved on the upper surface of the base; the picking station and the NG battery station are respectively provided with a picking station fixing frame and an NG battery station tray fixing frame; the picking device is arranged between the double guide rails through a sliding rod; the jacking device is arranged on the picking station of the main conveyor belt, the computer is provided with a tray database, and the computer and the controller are in both-way communication; the controller is provided with a battery information processing module and a PLC (programmable logic controller) motion control module. The automatic lithium battery picker disclosed by the invention has the beneficial effects that the human intervention is furthest reduced, the whole system adopts a modularization structural design, and the automatic lithium battery picker is utilized as an automatic sorting single machine and is also integrated on a lithium battery production line.

The invention relates to a traditional Chinese medicine decoction management and control method based on a radio frequency identification technology. The method is characterized by comprising the steps that 1, prescription information of a prescription needing decoction is received; 2, a prescription checker determines a soaking, decocting and packaging scheme; 3, a traditional Chinese medicine dispenser performs dispensing; 4, a dispensing reviewer reviews dispensed medicine and the prescription; 5, traditional Chinese medicine decoction pieces obtained after dispensing is completed are sent to a decoction center; 6, a soaking worker adds water into the traditional Chinese medicine decoction pieces for soaking; 7, a decoction worker guides the medicine into decoction equipment; 8, a packaging worker guides medicine liquid obtained after decoction is completed into packaging equipment; 9, a finished product packaging worker completes finished product packaging; and 10, a system delivers the medicine which is packaged to a designated position of a client. Through the method, a standard decoction process with reduced human intervention can be realized, and normalized decoction is realized.

A PE bottle detecting and sorting method based on machine vision comprises the following steps that firstly, PE bottle images are collected; secondly, the PE bottle images are subjected to pretreatment, wherein the collected images are subjected to image smoothing and sharpening treatment; thirdly, target positioning and recognizing are carried out, wherein a matching method based on an outline perimeter is used for matching and recognizing the PE bottle images, and a method based on a least squares fit ellipse is used for completing mass center position detection; fourthly, defects are detected, wherein a circle evenly-dividing method is adopted to complete PE bottle opening defect detection; fifthly, tracking grabbing is carried out, wherein according to the fed back position information, the positions of online PE bottles on a cartesian coordinate system are calculated, and online grabbing is completed; and sixthly, classification placement is carried out, wherein feature information of each PE bottle is sent to a mechanical arm control system, sorting is carried out through a mechanical arm, and the PE bottles are put in different regions. According to the method, the detecting and sorting efficiency is high, safety is good, and PE bottle defect detecting and sorting work is effectively achieved.

The invention discloses a food and medicine tracing system and method based on a block chain, and the method comprises the following steps: S1, enabling an information recording module to introduce the block chain in links of food and medicine production, shipment and distribution, and recording the operation information of the important links; S2, the data chaining module calls a block chain intelligent contract to realize the chaining, synchronization and consensus of the block chain data by adopting a signature and encryption technology, and eliminates the human intervention; And S3, a retrieval module which scans the food and drug anti-counterfeiting two-dimensional codes, calls a block chain data retrieval service and retrieves traceability information on the block chain. The invention discloses a food and medicine tracing system based on a block chain, and aims to solve the problem of how to ensure traceability of important links of food and medicine and cannot be tampered manually.

Disclosed are an electronic device and a display control method. The electronic device comprises a first display unit, a first detection unit, and a processing unit. The first display unit comprises a first visual portion and is used to display first images. The first detection unit is used to detect first parameters in a detection region. The first parameters are used to represent relative distance between a target object and the first visual portion. The detection region is at least partially overlapped with the viewing region of the first visual portion. The processing unit is used to generate to-be-displayed images, and control display of the first display unit at least according to the first parameters. When the first display unit is in a first state, if the relative distance is determined to be smaller than or equal to a threshold distance according to the first parameters, the processing unit controls to switch the first display unit from the first state to a second state. Power consumption of the first display unit in the first state is lower than the power consumption in the second state. Therefore, an automatic state switching method of the display unit is provided.

The invention discloses a breeding method for local chicken variety resource protection and utilization, and belongs to the technical field of poultry breeding. According to the method, the local chicken variety resources are not manually selected, and the inherent characteristics of the original variety keep unchanged. During the utilization in each year, 12-week old cocks with the average body weight being 95 percent to 107 percent are selected and remained in a seed reserving group, and are subjected to hybrizing matching with cultured high-breeding-property or fast-growth new strains (matched strains), the appearance characteristics of the original local chickens are reserved, the egg laying performance / growth speed of the local variety is improved / accelerated by 15 to 20 percent. The method provided by the invention has the advantages that the original local variety is used as the strain for participating in the matching, the damage of current variety breeding or pure hybridization to resources in the past local chicken resource development and utilization is avoided, and the duplex effects of protection and utilization are achieved.