51results about How to "Long time span" patented technology

A scanning 3D imager for recording images of a scene comprises a light source configured to emit a fan-shaped pulsed light beam with linear cross section, a scanning mirror arranged in the light path of the light beam to guide the light beam into the scene and to successively illuminate slices of the scene by sweeping the light beam through the scene transversally to the linear cross section thereof, and an imager chip arranged to receive light from the scene via the scanning mirror, the imager chip comprising an photosensor array disposed in such a way that the illuminated slices of the scene are successively imaged thereon.

The invention belongs to the field of boiler-turbine coordinated control for thermal generator sets, and particularly relates to a method for dynamically setting parameters of a coordinated control system on the basis of a preliminary coal supply control model. The method is applied to optimizing the dynamic parameters of the coordinated control system when a thermal power generating unit runs in an AGC (automatic gain control) mode, performance indexes of main controlled variables of the unit are improved, and load of the unit meets requirements of a power grid on technical indexes. Computer software assists in solving parameters of a control algorithm, a debugging process is simplified, and dynamic parameter solving time is shortened. In addition, characteristics of comprehensiveness of historical data, high precision, long time span and the like of a current DCS (data communication system) are sufficiently played, the historical running data of the unit are analyzed by the software, and the method is combined with field load change tests for the unit, and realizes an effect of yielding twice the result with half the effort by using the computer software to assist in solving the parameters of the control algorithm.

The invention discloses a hen house environment ammonia gas concentration intelligent monitoring system which is composed of two parts of a hen house environment parameter acquisition platform and a hen house environment ammonia gas concentration intelligent prediction model. The hen house environment ammonia gas concentration intelligent monitoring system based on a CAN field bus is designed in view of difficulties that hen house environment ammonia gas concentration change has characteristics of non-linearity, high time lag, high inertia and time variation and hen house area is relatively large and ammonia gas concentration is difficult to accurately predict. The system is the intelligent monitoring system which realizes detection, intelligent prediction and management of the monitored hen house environment ammonia gas concentration by the hen house environment parameter acquisition platform and the hen house environment ammonia gas concentration intelligent prediction model, and the basis of performing high-quality and high-efficiency purification on hen house environment ammonia gas concentration is provided. The system has wide application prospect and great popularization value.

The invention belongs to the technical field of road traffic, and discloses a driving analog simulation system based on multi-agent traffic flow. The system comprises a BIM simulation environment module, a multi-agent traffic flow simulation module, a driving simulation platform, a control module of the driving simulation platform, a vehicle control and risk early warning module, a vehicle collision and risk identification module and a driver heart physiological data acquisition module, wherein all the modules are respectively connected to a high-performance graphic workstation for corresponding data processing, and the driver heart physiological data acquisition module and the multi-agent traffic flow simulation module are respectively connected with a data operation server and are used for storing data acquired by the sensor in real time and real traffic flow data. According to the invention, the multi-agent traffic flow simulation module realizes accurate simulation of multi-agent complex traffic flow, also realizes analysis of the driving behavior of the vehicle and the running state of the traffic flow vehicle, and finally realizes comprehensive evaluation of the traffic safety condition of the road section and the road network.

The invention discloses a competition management system and a method based on network which includes registering through network and setting evaluating indexes; planning and organizing a competition, treating and issuing competition result, updating the evaluating indexes; carrying out integral ranking according to the evaluating indexes; the invention further includes inviting a competition and a knockout tournament through the network as well as carrying out qualification management and matching. The competition management system and the method of the invention has the advantages of breaking the restrictions of time, place, personnel, facilities and contact ways of various competitions, improving the competition involvement, reducing the organizing and managing costs of the competitions and promoting the economic and social values of the competitions.

The invention provides a privacy protection method for protecting information and position safety of soldiers in a field battle environment for solving certain problems. Personal information such as physical signs of the soldiers is protected by establishing safety paths between adjacent nodes through area keys. The method includes the steps of 1 a key initialization stage, 2 a network initialization stage and 3 a data transmission stage. In the key initialization stage, a whole network is divided into smaller areas, a key pool is also divided into subsets corresponding to the areas, and the adjacent nodes directly share a key to form one safety path. In the network initialization stage, in the multi-hop routing process of a data package from a source node to a base station, for achieving path-finding to the base station, a dynamic routing table needs to be established in each node. In the data transmission stage, a directional random routing scheme is introduced, in the scheme, the position of a the real source node and the position of the real base station are hidden trough a proxy source node and a pseudo base station respectively, a certain amount of false packages can be generated when the proxy source node transmits data, so that attackers are misled, and the time for the attackers to find out the positions of the soldiers is prolonged.

A vehicle type identification method and device based on mobile phone data for solving the problem of providing a convenient and low-cost vehicle type identification method. The method includes: obtaining trajectory data recorded by a mobile phone of a user within a period of time; judging mobile phone users who are on the same vehicle according to the data, and obtaining a vehicle trajectory and the number of passengers corresponding to the vehicle trajectory; obtaining a vehicle origin and destination according to the vehicle trajectory, and obtaining an origin-destination type of the vehicle trajectory in combination with geographic data; obtaining vehicle driving data according to the vehicle trajectory; and obtaining service area data of vehicle staying according to the vehicle trajectory. The cost of obtaining data by using mobile phone big data and by using mobile phone signaling data collected and provided by an operator is low.

A reverse mode detection system provides an extremely inexpensive system which can be installed in seconds and which can be used by drivers to gauge the distance from the rear of the vehicle to an object, possible an array of objects, and to provide an optional combination of a soft alert or a distance reading which the user can optionally use to assist in reverse movements of an vehicle. One advantage of the system not before seen is some indication of the rear clearance space left available to the user in backing, and a multi storage calibration ability to enable more precise backing with regard to previously calibrated objects. The ability of the reverse warning and measurement system to actually be used on an vehicle with broad acceptance is based upon its mounting system, simplicity and energy sources which are self contained and conserving of power. The distance sensor is mounted in a frame shaped structure for attachment adjacent the license plate. The frame shaped structure will follow the license plate size which is typically a standard size for different countries. A transmitter associated with the reverse light wiring and illumination system can optionally activate the system in order to conserve battery power.

A method and apparatus for manufacturing an optical cable comprising at least one metal tube housing at least one optical fiber and having a predetermined excess fiber length (EFL) is described. In this method the metal tube is plastically deformed and shortened by a predetermined amount (St) greater than the predetermined EFL and is plastically deformed after shortening to provide a controlled elongation thereof so as to reach the predetermined excess fiber length. An optical cable so manufactured has a local excess fiber length (EFL) varying of or less than 0.2% along the longitudinal extension of the cable with respect to an average EFL of the cable.

A method and apparatus for manufacturing an optical cable comprising at least one metal tube housing at least one optical fiber and having a predetermined excess fiber length (EFL) is described. In this method the metal tube is plastically deformed and shortened by a predetermined amount (St) greater than the predetermined EFL and is plastically deformed after shortening to provide a controlled elongation thereof so as to reach the predetermined excess fiber length. An optical cable so manufactured has a local excess fiber length (EFL) varying of or less than 0.2% along the longitudinal extension of the cable with respect to an average EFL of the cable.

A method and device for judging intercity transportation modes based on mobile phone data solves the problems of difficult data acquisition and low data processing efficiency in the existing solutions. The method includes: obtaining the trajectory of each user from the mobile phone data; extracting an intercity traffic sub-trajectory in the trajectory of each user; and judging the transportation mode of the intercity traffic sub-trajectory. The solution has the advantages of easy data acquisition, high data processing efficiency and capability of achieving long-term monitoring.

The embodiment of the invention discloses a video releasing method and device, equipment and a storage medium. The method comprises the following steps: after a video and video releasing information are obtained, detecting a video recording request, and recording a video clip according to the video recording request until a video combination instruction is obtained; according to the video combination instruction, combining the video and the video clip to obtain a target video; detecting a video releasing instruction, and uploading the target video and the video releasing information to a videoserver. Through the technical scheme disclosed by the invention, a pre-released video can be further recorded, so that the finally released video can comprise different time and different scenes, different video clips in the target video mutually have a large time span, different scenes also have a large geographical span, and therefore, a target video with rich and varies contents is obtained.

A method for operating a separately excited electric machine, in particular, a generator of a motor vehicle, where an exciting current flows through a rotor winding of the electric machine at a nominal current intensity during a normal operation and at a holding current intensity in an idling operation; the holding current intensity being greater than zero and less than the nominal current intensity.

The invention relates to the technical field of electric power, and discloses a method for predicting the residual cycle life of a lithium battery in an energy storage system based on an Xgboost model, and the method comprises the following steps: S1, data collection: collecting the actual operation data of the lithium battery in the operation process of an energy storage power station; S2, data cleaning: sorting the collected data; and S3, feature selection: constructing feature data by calculating original data, and analyzing correlation between the feature data. According to the method, a widely applied life prediction big data model is adopted, the model is mature, the prediction accuracy is high, a parameter adjustment optimization method is adopted, the optimal parameters of the model are determined, the accuracy of the prediction model is improved, and data cleaning and feature extraction are performed on collected original data by adopting a scientific method. The correlation analysis among the characteristics can more visually see the mutual relation among the characteristics and find out important factors influencing the residual cycle life of the lithium battery.

The invention discloses a two-stage behavior identification method and system based on a key frame sequence and behavior information, and the method comprises the steps: screening out similar adjacent frames through calculating the similarity between sparse representation results of video frames, and obtaining a key frame sequence; calculating the similarity between the categories by using the behavior information of the behavior category label, and dividing all behavior categories into a plurality of large categories; establishing and training a two-stage behavior identification method model, wherein the first-stage training enables the network to have a rough classification capability, and the second-stage training enables the network to have a fine classification capability; and finally, identifying the video by using the trained model. According to the method, the key frame sequence of the video is acquired as input data, so that the key frame sequence contains more information; in addition, the network training process and the recognition process are divided into two stages by utilizing the information of the behavior category label, so that the learning process of the network is easier, and the recognition accuracy is improved.

The invention discloses a method for forecasting equipment guarantee expense in a development stage, comprising the following steps of: calculating the frequency of guarantee activities, calculating the guarantee expenses of various kinds of equipment, amending annual guarantee expense, determining high-guarantee expense items in the equipment service period, and taking improved measures to reduce guarantee expense; drawing the profile of annual guarantee expense in the service period after amending annual guarantee expense, and comparing the annual guarantee expenses; and the method belongs to the technical field of equipment comprehensive guarantee engineering. The method for forecasting equipment guarantee expense in the development stage has the advantages that a basis for the decision of equipment guarantee scheme can be provided, the alternative design schemes and guarantee schemes can be evaluated by analyzing prediction results, the high-guarantee expense items in the equipment service period can be found and the reason can be analyzed, the guarantee expense can be reduced by taking improved measures, and a support is provided to the final guarantee scheme.

The invention provides a storage method supporting double-dimension query of mass monitoring data. The storage method is used for storing and querying historical data when an industrial monitoring system collects data in real time. The storage method comprises the following steps: creating a data file group and an index file; wherein the data file group comprises a plurality of data files arrangedaccording to a time sequence; wherein each data file comprises a plurality of data blocks, and each data block is divided into a plurality of sub-data blocks according to collection points; wherein each sub-data block is stored according to the ID sequence of the collection points and simultaneously stores the directory and index information of the data points; Storing the historical data collected within a period of time in the same data block of the data file; and the index file records time information of data in the data file. The storage mode has the advantages of supporting double-dimension query and being efficient in retrieval.

The invention discloses a large scale human urine protein collection method. The method comprises the following steps: placing absorption agents, which are used for absorbing urine proteins and have been packaged, in the places where urine will pass through to make the absorption agent be able to absorb the urine proteins in the urine; collecting the absorption agents which have absorbed the urine proteins; subjecting the collected absorption agents to a pretreatment; refrigerating and storing the pre-treated absorption agents; and transporting the absorption agents to a processing factory in batches to carry out urine protein desorption process to produce corresponding urine protein raw materials or urine protein products. The large scale human urine protein collection method is suitable for the mass industrial urine protein production, improves the processing amount of urine protein, reduces the transportation cost of absorption agents and the production cost of urine proteins, furthermore, the absorption agents containing urine proteins are subjected to a pre-treatment before storage, thus the urine protein activity is preserved, the urine protein degradation is reduced, the microorganism generation is reduced, so that the urine protein product quality is improved.

The invention discloses a vegetable-fertilizer dual-purpose high-efficiency cultivation method for astragalus sinicus in a winter-fallowed paddy field. The method comprises the following steps: a winter fallow field of rice areas in southern China is selected, after single-season rice or late rice is harvested, a mechanical ditching or artificial ditching manner is adopted to dig a surrounding ditch around the field, then a plurality of parallel strip ditches are dug in the surrounding ditch, the strip ditches communicate with the surrounding ditch, from mid-late September to mid-October, 3-4large-leaf type astragalus sinicus varieties of extremely early maturity, early maturity, medium maturity and late maturity in the different growth stages are used, drill seeding is performed, from January to April of a following year, according to growth conditions of different varieties of the astragalus sinicus, young shoots of the astragalus sinicus are sequentially picked to be used as vegetables, the rest remains in the field, and turning pressing is performed in the full-bloom stage to be used as green manure of the paddy field. The method disclosed by the invention takes into consideration the two functions of the vegetable and the green manure of the astragalus sinicus, prolongs a picking period of the astragalus sinicus as the vegetable, reduces labor input in the picking process, improves a yield of the picked fresh astragalus sinicus, fully develops the vegetable function of the astragalus sinicus, increases the added value of the astragalus sinicus as the vegetable, and has the effect of returning the astragalus sinicus to the field to fertilize soil in the paddy field; and the method has the characteristics of convenient operation, labor saving and time saving.

The invention relates to the technical field of task processing, in particular to a method for processing a delay task, which adopts a multi-layer time wheel, the bottom layer data structure of one layer of time wheel is an annular array, each position in the array represents a slot in the time wheel, and the slot is used for storing the delay task; the time wheel further comprises a time pointer, the time pointer points to a slot in the time wheel, the time pointer continuously moves along the time wheel according to a certain time period as time goes on, and when the time pointer points to a certain slot, it is indicated that the delay task in the slot is expired, and the delay task needs to be taken out for execution; the multiple layers of time wheels are distributed in a clock mode, the inner layer of time wheel rotates by a circle, the outer layer of time wheel rotates by a grid, the time wheels extend outwards in sequence, and then the span of the time wheels is increased. Compared with the prior art, a large number of delay tasks can be undertaken, other components do not need to be introduced, and the system complexity cannot be improved and resource waste cannot be caused.

The invention discloses a time slice processing method based on a trumpet, and the method can enable the length of a time slice to be similar to the trumpet according to the definition of a user, enables the length of the time slice closer to the current time to be shorter, and enables the length of the time slice longer than the current time to be longer. The trumpet-based time slice processing method is mainly divided into four parts: definition of trumpet-shaped time slices, creation of the trumpet-shaped time slices, management of the trumpet-shaped time slices and query of the trumpet-shaped time slices. According to the trumpet-shaped time slicing method, data with a larger time span can be reserved, a large amount of storage space is saved, index query delay under the large time span is further reduced, and query results can still be returned within millisecond-level delay.

A vehicle type identification method and device based on mobile phone data for solving the problem of providing a convenient and low-cost vehicle type identification method. The method includes: obtaining trajectory data recorded by a mobile phone of a user within a period of time; judging mobile phone users who are on the same vehicle according to the data, and obtaining a vehicle trajectory and the number of passengers corresponding to the vehicle trajectory; obtaining a vehicle origin and destination according to the vehicle trajectory, and obtaining an origin-destination type of the vehicle trajectory in combination with geographic data; obtaining vehicle driving data according to the vehicle trajectory; and obtaining service area data of vehicle staying according to the vehicle trajectory. The cost of obtaining data by using mobile phone big data and by using mobile phone signaling data collected and provided by an operator is low.

The invention discloses an active self-adjusting remote control rescuing robot and a self-adjusting control method. The active self-adjusting remote control rescuing robot comprises a handheld terminal and a remote control rescuing robot. The method comprises the following steps that: the remote control rescuing robot acquires position information and posture information of a person falling into water, and transmits the position information and posture information to the handheld terminal; and a rescuing person issues a control command to the remote control rescuing robot according to the position information and the posture information, adjusts the steering and angle of the remote control rescuing robot, fixes the person falling into water in a lifebuoy of the remote control rescuing robot, and returns to a safety zone under the action of the remote control rescuing robot. Through adoption of the active self-adjusting remote control rescuing robot and the self-adjusting control method, the person falling into water can climb onto the lifebuoy very easily, and returns to the safety zone under the action of the rescuing robot, so that the uncertainty caused by severe weathers, physical power of people and the like can be effectively avoided, and the success rate of the rescuing work is improved.

The invention discloses a straw combustion fire point identification method based on heat source heavy industry region analysis. The method comprises the following steps: obtaining fire point originaldata, ruby heat source heavy industry region product data and ground surface coverage product data of a target research region; preprocessing the data respectively; constructing a heat source heavy industry buffer area space according to the preprocessed product data of the ruby heat source heavy industry area so as to identify a fire point type in the heat source heavy industry buffer area space; and identifying the straw combustion fire point according to the fire point type in the heat source heavy industry buffer area space in combination with the preprocessed surface coverage product data. The method has the following advantages: the characteristics of high time resolution, wide coverage range and heat source heavy industry area distribution and operation production of long-time-sequence active fire point data are utilized, the ground surface coverage product and the heat source heavy industry area are combined, the accuracy of straw combustion identification is improved, and misjudgment of high-frequency fire points of the heat source heavy industry on straw combustion fire points is avoided.

The invention relates to a tomato plant culturing method. The tomato plant culturing method comprises the step that tomato plants in the seedling stage of the second stage are irrigated in a drop irrigation mode under the culturing conditions, wherein according to the culturing conditions, the temperature at daytime ranges from 10 DEG C to 12 DEG C, the temperature at night ranges from 5 DEG C to 8 DEG C, the light intensity ranges from 150 umol.m<-2>.s<-1> to 250 umol.m<-2>.s<-1>, the light period is 7-9 h / 15-17 h, and the humidity ranges from 80% to 90%; according to the irrigation mode, a gibberellin solution with the concentration of 50-75 mg.L<-1> is used for carrying out drop irrigation, drop irrigation is carried out every 6-8 days, the irrigation amount for each tomato plant in the seedling stage of the second stage ranges each time from 80 mL to 120 mL, and the seedling stage of the second stage refers to the period from spreading of two to three true leaves to emerging of large flower buds. By means of the tomato plant culturing method, the time span of the tomato plant fruiting period under the low temperature and the lower light level can be obviously prolonged.

The invention discloses an intelligent positioning feedback system for building construction quality detection, and belongs to the technical field of building construction management. The system comprises a server end, an RFID tag and an RFID handheld end, wherein the server end is connected with the RFID handheld side, and Revit software and a plug-in used for acquiring building component information transmitted to the server end from the RFID handheld end and matching the acquired building component information with Revit three-dimensional model data are installed in the server end; the RFIDhandheld end is used for receiving the data of the server end and transmitting the data to the RFID tag, or reading the data of the RFID tag and transmitting the data to the server end, or writing the data into the RFID tag. According to the building construction member information tracking and positioning system and method, the accuracy of quality information feedback can be improved on the basis that the building main body member information tracking and positioning function is achieved, collaborative management between all building participants and all professions is achieved, and the engineering management level and quality are improved.