134results about How to "Good data support" patented technology

The invention belongs to the field of business intelligence, and particularly relates to industry data-oriented index setting definition, management, storage and application of providing data analysis and support. The invention discloses an index-system-model-based agile business intelligence data construction method. An index calculation model and data storage function construction method for different industries and service fields is realized by using index data capable of distinguishing data characteristics as a center through dynamic extraction of the index data, index system configuration and attribute definition. The method comprises the following steps of: performing index system extraction by using a minimum granularity information unit as an index extraction principle, and then performing index attribute definition and setting. By the index-system-model-based agile business intelligence data construction method, the application of a business intelligence platform can be prevented from being constrained by specific industry and service, a basic data model for data analysis and application is quickly and effectively constructed, the construction problem of an on-line analytical processing (OLAP) model is solved, and a foundation is laid for efficiently constructing various data analysis and application models with high quality.

The invention discloses a data integrated management system of an intelligentized power supply system, which comprises a peripheral data resource and an application service system, wherein the peripheral data resource comprises a regional power grid SCADA (Supervisory Control And Data Acquisition) system, an electric energy collection system, an automation system of a power distribution network, a marketing MIS (management information system), a power distribution network line loss system, a power distribution GIS (geographic information system), a power distribution network bar chart system and a peripheral data interface service end. The application service system comprises a system service end, a system data end, an application client and a printing terminal. The data integrated management system of the intelligentized power supply system, disclosed by the invention, has the advantages of fully utilizing the data resource of the power distribution system, providing good data support for drawing-up of a power supply plan and the like.

The invention relates to a real vehicle test system and method for the traffic coordination of an automatic driving vehicle. A corresponding interactive test scene is set at a closed test road or a flexible test square based on a test need. The automatic driving vehicle serving as a tested body cooperates with a manned or program-controlled background vehicle to carry out multi-vehicle interactivescene simulation and multi-scene auto-driving vehicle traffic coordination testing. During the process, corresponding equipment is used for collecting and recording moving tracks of all tested vehicles and traffic participants and subjective judgment, physiological indicators related to the interaction comfort and riding comfort indicators of tested vehicle passengers and other vehicle participants are recorded, so that the traffic coordination testing of the automatic driving vehicle is realized and thus whether the automatic driving vehicle has the good interaction capability with other vehicle participants during the driving process is verified. According to the invention, the coordination control is powerful; the data are connected in a unified manner; and the good data support is provided.

The invention discloses a multi-direction pipeline detection and self-adaptive pipe diameter spiral driving pipeline robot. The spiral driving pipeline robot comprises a front vehicle body and a rearvehicle body, wherein the front vehicle body and the rear vehicle body are hinged; the rear vehicle body comprises a supporting vehicle body and three driven wheel assemblies, and the three driven wheel assemblies are arranged outside the supporting body; each driven wheel assembly comprises a sliding rod, a protrusion, an inclined rod, a connecting rod and a driven wheel; the supporting vehicle body is provided with a motor and a gear speed reducing mechanism; the front vehicle body comprises a spiral driving head; the spiral driving head is connected to the motor, the spiral driving head isprovided with a camera, and three driving wheel assemblies are arranged outside the spiral driving head; and each driving wheel assembly comprises a driving wheel outer cylinder, a driving wheel innercylinder and a driving wheel. According to the spiral driving pipeline robot, the functions of pipeline image acquisition, pipeline detection, pipeline maintenance and the like are integrated into apipeline robot, a technical means is provided for monitoring the environment in the pipeline and the pipeline quality in real time, the data support is improved for making a pipeline maintenance scheme, and the remote monitoring and information management of a municipal department to the urban drainage pipeline are facilitated.

The invention relates to an autopilot vehicle transportation coordination virtual testing system and testing method. A system hardware-in-the-loop simulation testing method is planned, a correspondinginteractive testing scenario is arranged in a virtual simulation platform according to test requirements, one or more autopilot vehicle intelligent controllers are to-be-tested subjects, and occupants of a virtual to-be-tested vehicle and other virtual transportation participants are introduced through methods, such as a driving simulator and a VR device, to simulate the multi-vehicle interactionscene under complex traffic stream. Trajectories of all virtual transportation participants, including that of the virtual to-be-tested vehicle, subjective judgments of the controllers of the virtualto-be-tested vehicle occupants and other virtual transportation participants, and various physiological indicators related to interaction comfort are collected, multi-scenario autopilot vehicle transportation coordination tests at different penetration rates are undergone to verify whether the autopilot vehicle is capable of interacting well with other transportation participants during driving or not.

The invention relates to a vending device and method. The vending device comprises a detecting device used for detecting whether there is a pedestrian in a preset range of the vending device or not, a walking device used for driving the vending device to walk towards a predetermined direction, a vending device body used for collecting payments according to a received vending instruction and pushing a commodity corresponding to the vending instruction, and a voice interaction device used for conducting interaction according to a voice instruction given by the pedestrian in the preset range. The vending device and method can achieve the functions of intelligent vending and propaganda. Through the voice interaction device, the active man-machine interaction between the vending device and the pedestrian can be achieved and active product propaganda of the vending device can be achieved; a consumer can also really learn the detailed information of a product besides purchasing a desired item; for a product seller, the product can be sold and comprehensively propagated, the advertising effect is improved, and the sense of product existence is increased.

The invention provides a positioning method and system of a starting point of indoor positioning. The method comprises the following steps: acquiring finger position of a smart terminal location, establishing a starting point fingerprint database corresponding to the fingerprint data and location; acquiring the current fingerprint data of the smart terminal, and acquiring the position probability of each position of the smart terminal in the starting point fingerprint database according to the fingerprint data; acquiring the maximum one in the position probability, wherein the corresponding location with the maximum position probability is the starting point position of the smart terminal. The starting point fingerprint database is established, the possible starting point position of the user is acquired through the fingerprint data and the probability computation, and then the starting position of the user is determined by computing the maximum one in the position probability, thereby determining the starting point position of the user more accurately, and providing better data support for the PDR; the indoor positioning can be performed faster and more accurately, and the usability and the accuracy of the indoor positioning are improved.

The invention discloses a slope displacement and inclination angle monitoring device. The slope displacement and inclination angle monitoring device includes hydraulic type sedimentation detection and inclination angle detection integrated monitoring instruments, benchmark liquid level tanks, a data sampler, a laser rangefinder and a data acquisition controller. The invention also discloses a slope displacement and inclination angle monitoring method. According to the method, a plurality of contour lines are selected on a measured slope, and a plurality of hydraulic type sedimentation detection and inclination angle detection integrated monitoring instruments are distributed on the contour lines; the laser rangefinder is installed on the opposite side of the measured slope; the hydraulic type sedimentation detection and inclination angle detection integrated monitoring instruments are adopted to monitor the vertical displacement amount and inclination angle change amount of the measured slope; the laser rangefinder is adopted to measure the horizontal displacement amount of the measured slope; the overall displacement and inclination angle data of the measured slope are obtained; and various kinds of slope analysis models are used auxiliarily, and therefore, an effective means can be provided for landslide disaster prevention.

The invention discloses an intelligent early-warning system for urban traffic violation and a method of the intelligent early-warning system. A three-dimensional laser scanning device is arranged on a traffic light frame of a motorway and a sidewalk and is used for collecting point cloud data of an object and synchronously transferring the data to a point cloud data input controller; the point cloud data input controller is used for transmitting the data to a violation rule judgment processor for processing; the violation rule judgment processor carries out calculation according to a preset violation judgment rule, and feeds the result back to the point cloud data input controller only when occurrence of a violation event is determined; the point cloud data input controller transmits the result to a data center and an early-warning signal output controller separately; and the early-warning signal output controller outputs an early-warning signal according to a traffic light rule and carries out warning and reminding of violation information. Early anticipation can be carried out on motor vehicles and pedestrians of violating the traffic laws, so that determination of a potential traffic accident and caution of other vehicles are achieved.

The invention discloses a flood forecasting method based on synthetic flow and shape fitting and relates to the technical field of hydrological simulation and forecasting. The method comprises the steps that a correlation between target cross section flow and upstream cross section flow is inquired and forecasted; distributed hydrological model modeling is conducted on forecasting drainage basin,and obtained runoff generation and confluence parameters of each calculation unit in a distributed hydrological model are calibrated; according to flood peak data of each time and flood volume data ofeach time of a forecasting target cross section, the corresponding relation of the flood peak and the flood volume is fit; corresponding exponential-type water subsiding curve parameters in the actual water subsiding process are inquired; a flow forecasting result of the forecasting target cross section in the confluence forecast period is obtained through flow synthesis; the forecasting flood volume and the forecasting flood peak of the forecasting target cross section in the flood on the spot are acquired; the corresponding flow forecasting result which meets a preset requirement is used asa final result of flood forecasting of each time. According to the flood forecasting method, the forecast period of flood forecasting is prolonged, so that the forecasting result is more reasonable and precise.

The invention discloses an intelligent card chip mounting visual detection system and detection method, which belong to the technical field of intelligent card production. The system is characterizedin that the system comprises a defect detection unit (4) and an industrial personal computer (5), and the defect detection unit (4) comprises a positioning mechanism (10), a counting mechanism (12), aphotographing mechanism (11) and a bad hole detection mechanism (9), wherein the counting mechanism (12), the photographing mechanism (11) and the bad hole detection mechanism (9) are behind the positioning mechanism. The method further comprises the steps of 1001 photographing a carrier tape by the photographing mechanism; 1002 positioning the area of the chip on the carrier tape; 1003 determining the relative position of the carrier tape (8) and the chip; 1004 carrying out glue dripping detection; 1005 identifying a glue overflowing area; 1006 calculating the percentage of the glue overflowing area; and step 1007 judging whether the carrier tape and the chip have defects or not. According to the intelligent card chip mounting visual detection system and detection method, the defect detection unit is arranged, so that the defects of false detection and missing detection easily occurring in a traditional manual detection mode are avoided, the defects can be fed back, and the hidden danger of product defects is eliminated.

The invention discloses an experimental device and method for simulating a flow characteristic of a coal bed gas gathering and transportation pipeline. The experimental device comprises an experimental pipeline system, a water supplying system, a gas supplying system and a feeding system, wherein the experimental pipeline system is provided with a testing pipe and a feeding end of the testing pipe is connected with a mixer; the testing pipe is provided with an observation pipe; the water supplying system is provided with a water supplying pipe; one end of the water supplying pipe is connected with a water storage tank and the other end of the water supplying pipe is connected with the mixer; the water supplying pipe is connected with a water pump; the gas supplying system is provided with a gas supplying pipe; one end of the gas supplying pipe is connected with an air compressor and the other end of the gas supplying pipe is connected with the mixer; the gas supplying pipe is connected with a buffering tank; the feeding system is provided with a feeding device; and the feeding device is connected with a feeding pipe which is connected with the gas supplying pipe in parallel. According to the experimental device and method disclosed by the invention, gas-liquid, gas-solid and gas-liquid-solid multi-phase flow experiments can be carried out; and multi-phase flow states, influence factors and pressure drop rules of the coal bed gas gathering and transportation pipeline can be described and predicated.

The invention provides a thermal runaway simulation device for a battery system. The device comprises an explosion-proof box, a battery cell group, a heating device, a voltage acquisition instrument,a multi-path temperature measurement instrument, a pressure detector, a gas detector and a video monitor; the battery cell group is mounted on a bracket in the explosion-proof box and includes a battery cell (21), a battery cell (22) and a battery cell (23), wherein the battery core (22) and the battery core (23) are connected in parallel, and the battery core (21) is independently installed; andthe heating device continuously and stably heats the battery core (22). With the thermal runaway simulation device for the battery system of the invention adopted, the critical temperature, critical voltage and critical pressure of the battery cores during thermal runaway can be obtained; change relationships between the voltages, temperatures and pressures of the battery cores during the thermalrunaway can be monitored in real time; basic data can be provided for various battery core anomaly processing devices, and better and more accurate analysis can be performed; the data collect influence relationships between the battery cores, and better data support can be provided for guiding the development and design of the battery cores.

The invention discloses a road information real-time acquisition device and method based on a traffic monitoring video. The device is characterized in that the device comprises a video processor, a network module, a remote server, a data pusher and a data receiver. The video processor reads a video image corresponding to a monitoring device. According to acquired pictures, the grayscale value X of each pixel in each picture is acquired, and is compared with a pre-stored parameter value X-1. A nuclear method is used to assess road congestion extent ci, and ci is uploaded. A remote server carries out real-time analysis to acquire a road congestion extent value C. The data pusher transmits the information of a congested road to the data receiver, and the data receiver outputs the information. According to the invention, the video processor analyzes the real-time image grayscale; the nuclear method is used to assess and upload the congestion extent; the data pusher transmits the information in real time; the receiver carries out real-time broadcasting; a driver can acquire the road information in real time and can timely plan a route; and congestion is reduced.

The present invention relates to the technical field of flue gas denitrification and provides a multi-point-location nitrogen oxide continuous monitoring device and a continuous monitoring method for SCR reactors. According to the device, a plurality of continuous sampling units, a sampling point selection unit, an analysis unit and a data transmission unit are combined. In this way, any typical point on the cross section of the outlet of an SCR reactor can be monitored at any time according to needs. Meanwhile, multiple typical points on the cross section of the outlet of the SCR reactor can be monitored at the same time. Therefore, the NOx monitoring accuracy at the outlet of the SCR reactor is improved, and the large monitoring error of the NOx between the outlet of the SCR reactor and the main discharge port of the SCR reactor can be eliminated. Through analyzing and processing the monitoring result of the continuous monitoring device, the overall performance of the SCR system can be accurately analyzed, so that the local abnormal state of the system can be found out timely. The device provides a clear and accurate data support for the promotion of the entire SCR system and also provides an important means for monitoring and preventing the ammonia escape phenomenon. Therefore, the safety of boilers, preheaters and the like can be ensured.

The invention discloses a control method and a control device for improving the operating efficiency of material handling equipment of bell type furnace units of steel enterprises, which are mainly realized by a data acquisition device 1, a data processor 2, a control proposal generator 3, a production process simulator 4 and a control information uploader 5 through a network (TCP / IP) 6. The data processor is used for performing deep-level analysis and processing on acquired information, and inputting and transferring into the control proposal generator; a crane control proposal generator comprises two modules, namely a resource allocation proposal generator 9 and a crane operation proposal regulator 10, the resource allocation proposal generator allocates limited resources of a bell type furnace workshop, and the crane operation proposal regulator performs concrete execution on a resource allocation result and can perform further regulation on the allocation of the resources; the production process simulator simulates the operating environment of the bell type furnace production workshop, performs dynamic simulation on the production flow of a bell type furnace and the operation of a crane, and displays the dynamic simulation through an LED display 8; and the control information uploader is used for uploading control information produced by the crane control proposal generator to a crane control terminal 7 of the bell type furnace workshop and guiding the production of the bell type furnace workshop.

A repairable GO algorithm based on a dynamic Bayesian network comprises the steps of: I, modeling a system into a dynamic repairable GO method model diagram comprising a repairable operator, II, mapping a dynamic repairable part as a dynamic Bayesian network node, and determining a conditional probability table of the dynamic Bayesian network node, and III, determining a set membership of the dynamic Bayesian network node, making calculation through the mature Bayesian network, and finally obtaining a relevant result of reliability modeling, and, if the repairable GO method comprises a static operator, further comprises the steps of: IV, mapping an unrepairable part as a Bayesian network node and determining a conditional probability table of the Bayesian network node, V, determining a node after conversion and a set membership of a Bayesian network node corresponding to an input signal of the node, VI, combining a dynamic Bayesian node and a static node into the complete Bayesian network, and VII, making calculation through the mature Bayesian network to obtain a relevant result of the reliability modeling.

The invention relates to the technical field of image processing, and discloses a building contour extraction method and system, computer equipment and a storage medium, and the building contour extraction method comprises the steps: obtaining a to-be-processed image, inputting the to-be-processed image into a preset instance segmentation model, and obtaining a building mask and a building bounding box in the to-be-processed image; obtaining an image block of a target building according to the building bounding box, inputting the image block and a corresponding building mask into an image segmentation model to obtain a building pattern spot of the target building, and obtaining a contour pixel point position of the building pattern spot; detecting the main direction of the target building based on the image blocks of the target building, and performing boundary regularization processing on the building pattern spots of the target building based on the main direction to generate a building boundary extraction result; the method has the effect of improving the accuracy of extracting the boundary line of the building from the remote sensing image.

The embodiment of the invention provides a method and device for intelligently calling an electronic file, electronic equipment and a storage medium, and relates to the technical field of file management. The invention discloses a method for intelligently calling electronic archives. The method comprises the steps of obtaining identity information of a querier; calling a historical query model; calling a historical query record of the querier based on the identity information of the querier and a historical query model, wherein the historical query record comprises archive types and calling times of each archive; obtaining a recommendation list according to the archive type and the calling frequency of each archive; obtaining a judgment instruction input by a query person according to the recommendation list, and determining whether the recommendation list contains a target file or not; if not, obtaining a target archive identifier input by the querier to retrieve the target archive, the target archive identifier comprising the archive box keyword; and obtaining and displaying the target file. In this way, the file calling efficiency can be improved.

The embodiment of the invention discloses a smart tourism system, and the system comprises an electronic fence management module which is used for dividing a tourist attraction into a plurality of closed regions, and carrying out the statistics to independently providing a statistical analysis index for each closed region; a satisfaction information feedback module which is used for acquiring tourist attraction information related to satisfaction of different levels from different ways and obtaining the satisfaction information of different levels to generate a satisfaction report; a tourist behavior crawler module which is used for tracking search information of each tourist for each closed region in real time; a data prediction and analysis module which is used for combining the information of the electronic fence management module, the satisfaction information feedback module and the tourist behavior crawler module to generate a personalized recommendation interface for predicting the future travel itinerary of each tourist. According to the invention, through large-scale integration of data and complete fusion of an operation mechanism, frontier information related to tourism management, safety, market decision, tourism information and other affair tourist attraction strategic problems is provided.

The invention discloses an aircraft noise interpolation method based on generic gridding airport perception. The method comprises the following steps: performing gridding interpolation operation on the monitoring area again, and providing accurate standard gridding noise data for the noise monitoring area. According to the method disclosed by the invention, the generic gridding monitoring point noise data are converted into standard gridding noise data in the airport noise monitoring area by virtue of interpolation operation, so that the converted data are easier to store compared with the original data, persistent operation of the noise data can be realized, and a formative data support is provided for in-depth study of airport noise in future.

The invention discloses a medical assistance system based on Internet-of-things. The medical assistance system comprises a doctor terminal, a patient terminal and a server. The doctor terminal comprises a queuing module, a patient communication module and a data calling module. The patient terminal comprises an appointing module, a doctor communication module, an information transceiver module, apayment module, a medicine taking executing module and a physiological index acquisition module. The medical assistance system can effectively settle problems of difficult registering, too many persons in a hospital and low convenience in remote diagnosis. In remote diagnosis, the doctor can conveniently perform communication and diagnosis on the patient, and furthermore the system can perform real-time physiological index acquisition on the patient. Additionally the medical assistance system reminds the patient of regular physiological index acquisition, thereby facilitating data support to diagnosis by the doctor in subsequent re-examination; the medicine taking executing module can automatically introduces related data of the medicine through the Internet-of-things in a treatment process, thereby timely and quantitatively reminds the patient of medicine taking, and performing a good assisting function on the old persons and the children.

The invention discloses a user marketing intelligent promotion system based on big data analysis, and relates to the technical field of marketing, and the system comprises an online shopping platform, a platform promotion module and a marketing feedback module, and the input end of the online shopping platform is connected with a user login module. And the output ends of the user login module and the online shopping platform are connected with an information acquisition module. According to the user marketing intelligent promotion system based on big data analysis, intelligent commodity pushing and promotion can be carried out on the basis of user shopping big data analysis, and the platform promotion module is provided with three modes of a similar product promotion module, a matched product promotion module and a substitute product promotion module. According to the technical scheme, each online shopping person can be brought into the target group, different pushing methods can be provided for different types of users according to consumption habits of different users, single similar product pushing is avoided, and then the pushing and marketing modes of marketing are more diversified.

The invention discloses a system and a method capable of automatically identifying and recording collected and transported classified junk information. The system comprises an intelligent mobile terminal, an RFID identification module, an electronic scale and a plurality of RFID electronic tags written with different types of classified garbage related information, wherein the RFID identificationmodule is in communication connection with the intelligent mobile terminal; the electronic scale is provided with a communication module which is in communication connection with the intelligent mobile terminal; and the intelligent mobile terminal can be used for receiving and recording relevant data of the classified garbage obtained after the RFID electronic tags attached to a classified recycling bag are identified by the RFID identification module, and receiving and recording the weight of the classified garbage obtained after weighing the classified recycling bag by the electronic scale.When the system and the method are used for collecting and transporting classified garbage, relevant data and weights of the recovered classified garbage can be automatically acquired through the RFIDidentification module and the electronic scale, is sent to the intelligent mobile terminal for recording; and the intelligent mobile terminal can further upload the recorded classified garbage related information to a cloud internet-of-things management system.

The invention discloses a loader shoveling and loading operation resistance real-time testing method based on position calculation. The method comprises the following steps: establishing a fixed coordinate system XOY by taking a point B as an origin of coordinates and taking a direction parallel to the ground as an X direction; measuring the displacement distance of piston rods of movable arm oilcylinders of the left movable arm and the right movable arm at any time node in the bucket operation process, and obtaining the length LQa of the movable arm oil cylinders at the time node; measuringthe displacement distance of a piston rod of the rotating bucket oil cylinder at the time node of bucket operation, and obtaining the length LPf of the rotating bucket oil cylinder at the time node; measuring the stress of the movable arm pin shafts at the joints of the left and right movable arms of the loader and the bucket at the time node of bucket operation; measuring the stress of the pin shaft on the bucket at the time node when the rocker arm of the loader passes through the joint of the connecting rod / bracket and the bucket; and calculating the real-time resistance of the time node ofthe loader operation based on the geometry. The method is accurate, convenient and rapid in testing, and the problem of inaccurate testing in the prior art is well solved.

The invention relates to the technical field of pneumatic tests, and particularly discloses an eddy current damper for segment model testing, the linear eddy current damper is arranged at two ends ofa segment model and arranged diagonally, and the linear eddy current damper comprises a rigid insulating rod, a metal sheet and two permanent magnets; the lower end of the rigid insulating rod is connected with the metal sheet, and the upper end of the rigid insulating rod is connected with a suspension arm; the two permanent magnets are placed under the metal sheet, and a gap is kept between thetwo permanent magnets to form a magnetic field. The invention further discloses a vibration device which comprises a segment model, springs, two suspension arms and the linear eddy current damper, thesuspension arms are fixedly connected to the two ends of the segment model and are symmetrically arranged, the springs are connected to the upper portions and the lower portions of the two ends of each suspension arm respectively, and the other end of each of the springs is fixedly installed in a pneumatic laboratory. The upper end of the rigid insulating rod is detachably connected with the suspension arms, and the problem that an existing vibration device has errors is solved. The invention further discloses an experimental method based on the vibration device, and data support and great convenience are provided for testers.

The invention discloses a method for testing cold start duration of an application program. The test method comprises the following steps: acquiring all executable files of the application program in one-time cold start; marking starting and ending moments in a load function corresponding to each executable file; and based on all the starting moments marked in the load function, acquiring loading duration of the application program before a main function is executed during cold start. The cold start duration test method for the application program can effectively test and obtain the loading duration of the application program before the main function is executed during cold start, so that the pre-starting process can be evaluated, monitored and optimized in a targeted manner in the later period.

The invention provides a public opinion event prediction method and a device based on a social network and a storage medium, and the method can effectively improve the prediction precision of public opinion events, and comprises the following steps: collecting related social network data for each public opinion event, extracting keywords from the social network data several days before the occurrence of the public opinion event, constructing a keyword set every day, and extracting a propagation relationship among the users; carrying out corpus preprocessing on the social network data to obtaina corpus, and expressing all keywords as word vectors; constructing a semantic association information graph and a propagation relation graph of the keywords every day; constructing a dynamic dual-graph convolutional network model based on a graph convolutional network, inputting the semantic association information graph and the propagation relationship graph of the keywords of each day in a plurality of previous days into the dynamic dual-graph convolutional network model, and inputting previous data at the same time until the feature vectors of the keywords of the previous day are calculated; and performing nonlinear transformation, and outputting a prediction result of the public opinion event.

The invention belongs to the field of metal manufacturing, and discloses an automobile light chassis aluminum alloy structural member and a preparing method thereof. The automobile light chassis aluminum alloy structural member is prepared from titanium, lead, manganese, silicon, iron, copper, magnesium, zinc, chrome, nickel, tin and the balance aluminum. The automobile light chassis aluminum alloy structural member has few bubbles inside, is good in mechanical performance, high in strength and high in corrosion resistance and high temperature resistance, is good in stability when used as an automobile part and is worthy of popularization; the product defects that original thin-wall support products have stress concentration and are prone to cracking are overcome, toughness and ductility are high, and the ductility is far superior to that of an existing product; aluminum alloy components are strictly controlled, the content proportions of Mn and Mg are independently set, and thus mechanical performance is improved; and accordingly, the automobile light chassis aluminum alloy structural member has good market prospects.

The invention discloses a method and a device for building a music vocabulary file index and a method and a system of music vocabulary searching. The method for building the music vocabulary file index includes the following steps that S1 music vocabulary is divided into different word properties according to a searching log of users on the music vocabulary in a searching system, and a priority strategy on different word properties of the music vocabulary is set according to searching heat and / or fashion trend of the different word properties; S2 word property information comprising the music vocabulary, the different word properties of the music vocabulary and the priority strategy is stored in a music vocabulary dictionary set in the searching system; S3 the word property information in the music vocabulary dictionary is synchronized to a database of the searching system in real time; and S4 the word property information in the database of the searching system is used as input, and the music vocabulary file index is generated through an index engine in the searching system. The searching method can obtain searching results required by the users fast.