58results about How to "Increase digging speed" patented technology

The invention relates to a GPU-based equipment fault early-warning and diagnosis method for improving weighted association rules, which belongs to the field of equipment fault diagnosis and early warning. The method comprises the following steps of: constructing a graphic processing unit (GPU)-based RARG model for realizing a quick weighted association rule algorithm; mining historical monitoring data of the equipment by utilizing a GPU-based improved weighted association rule model, and constructing an association rule pattern base; monitoring the equipment data, and extracting the eigenvalue; judging whether the eigenvalue reaches the threshold, if so, determining that the equipment is in a fault state, and otherwise, determining that the equipment is in a non-fault state; if the equipment is in a non-fault state, matching related data with the association rule pattern base, if the matching succeeds, determining that the equipment is in a defect state, namely, the equipment has a potential fault, and if the matching does not succeed, returning to the step of data monitoring. The invention develops a GPU-based RARG model for realizing the quick weighted association rule algorithm, which has an important application value.

The invention relates to an excavating mechanism of controllable three degree of freedom, comprising an excavating arm, a bucket turning-over mechanism, a backhoe bucket and a stand. The excavating arm is a mechanism of controllable planar two degree of freedom, wherein one end of a driving rod (1) of the mechanism is hinged together with a driven rod (2) through a hinge hole (9), and the other end is hinged on the stand (26) through a hinge hole (8); one end of a driving rod (4) is hinged together with a transmitting rod (3) through a hinge hole (12), and the other end is hinged on the hingehole (11) of the stand (26); and the driven rod (2) is a curved rod which is provided with a hinge hole (10) on the middle curved part and is hinged together with the transmitting rod (3). The invention solves the problems that the traditional mechanical excavating mechanism of single degree of freedom acts simply and the hydraulic excavating mechanism is easy to leak oil.

The invention provides an Eclat-based multivariate time series association rule mining method. the method comprises the steps of 1, generating a perpendicular dataset; 2, generating a MINHASH matrix,wherein the MINHASH matrix needs a designated parameter k; 3, utilizing the MINHASH matrix for estimating a candidate item set in an original data set; 4, according to the minimum support, pruning thecandidate item set to obtain frequent item sets 1; 5, combining two Hash frequent item sets 1 and generating a new frequent item set 2; 6, repeatedly executing the step 5 till combination cannot be performed, and ending an algorithm. The association rule mining speed is remarkably increased, the purpose of obtaining the time series data analysis result in time is achieved, even though the miningprecision is lowered, the mining efficiency can be greatly improved, and the machine memory can be saved.

The invention provides a distributed data processing system and method. The system comprises a plurality of single-serial servers and further comprises a data collection module for signal data collection, a data storage module for storing complied data information, a data generation module for performing data structure compiling on the data information, a data mining module for scheduling the data information according to the calculated task requirement and a sending module for sending status of the data information meeting the conditions to a monitoring host. The collected device data are preprocessed, the collected mass data are stored in a distributed mode, and the problems that existing data access modes are independent and no dependency or precedence relationship exists are solved; during data mining, a plurality of data scheduling nodes are processed at the same time, the response speed is high, and the data can be sent to the monitoring host within the shortest time; when data is inserted and inquired at the same time, the system performance is not lowered, and the input cost is lowered.

The invention discloses a freight trajectory data-based vehicle spontaneous formation mode mining method, and the method comprises the steps: completing the freight spontaneous formation mode search based on a data mining method according to the daily massive freight trajectory data; providing a full-process processing framework innovatively; setting seven databases, using an improved running distance estimation method, a map matching method, a P-OPTICS algorithm and the like to complete tasks of estimating the freight travel of each truck on that day, truck travel positioning point map matching and coordinate repairing, hotspot line and excavation time period planning, truck formation set excavation at each moment, truck spontaneous formation mode excavation and evaluation under a specified line and a specified time period and the like. Therefore, key information such as the running distance is extracted from massive freight trajectory data, and meanwhile, a freight car spontaneous formation mode mining task in a specified road section or time period is completed, so that business reference is provided for freight car formation driving work under an automatic driving background in the future while formation mode characteristics are analyzed.

The invention discloses a data flow maximal frequent item set mining method based on an ordered composite tree structure. The data flow maximal frequent item set mining method is suitable for the fields of financial data time sequence mining, commercial data flow association analysis and the like. The invention is specific to the defects of low execution efficiency, excessive memory consumption and the like in an existing maximal frequent item set mining method. Data flow is processed with a sliding window; the sliding window is partitioned into a plurality of basic units; data flow fragment information is updated and acquired; and the fragment information is scanned once to obtain frequent item sets, and the frequent item sets are stored in a frequent item set list. According to the method, an ordered FP-tree is constructed, the structure of the tree is adjusted dynamically along with the insertion of the item sets, adjacent nodes with equal support degrees in a same branch are combined, and an ordered composite FP-tree is generated by means of compression. Through adoption of the method, maximal frequent item set mining can be performed efficiently and rapidly on data flow. The method has a high application value.

The embodiment of the invention discloses a difficult sample sampling method and system. The method comprises the following steps: obtaining a feature map corresponding to input training image data byadopting a deep learning model, then determining the number of difficult samples in the feature map based on a first hyper-parameter, and then calculating a preset number of difficult samples in thefeature map according to a second hyper-parameter and samples in the feature map. By the adoption of the method and device, the speed of difficult sample mining can be increased by introducing the twohyper-parameter analysis characteristic graphs, then the characteristic graphs are processed on the basis of the HES model, the parameters of the target detection model are updated, and the final detection precision and timeliness can be guaranteed.

The invention discloses an excavator convergent flow control system and an excavator, wherein the excavator convergent flow control system comprises a main oil pump, a convergent flow pump, a moving arm main valve, a bucket main valve and a first convergent flow switch valve, wherein the main oil pump is respectively connected with an oil inlet of the moving arm main valve and an oil inlet of the bucket main valve, a work oil opening of the moving arm main valve is connected with a moving arm oil cylinder of the excavator, a work oil opening of the bucket main valve is respectively connected with a bucket oil cylinder of the excavator, the first convergent flow switch valve has an on-off function and is provided with an oil inlet, an oil outlet, a control end and an oil return opening, the oil inlet of the first convergent flow switch valve is connected with the convergent flow pump, the oil outlet of the first convergent flow switch valve is connected with the moving arm oil cylinder of the excavator and the bucket oil cylinder of the excavator, and the oil return opening of the first convergent flow switch valve is connected to an oil tank. The excavator convergent flow control system and the excavator have the advantages that the excavating convergent flow of a bucket can be realized, the excavating speed is accelerated, and the work efficiency of the excavator is improved.

A bedrock drilling and excavating apparatus receives power from a rotational power source to drive a drill to strike and shatter bedrock under the gravity of the apparatus and reciprocal vibrations of a pneumatic unit located on the apparatus. The apparatus includes a coupling device to couple with the rotational power source and an air intake vibration structure, a coupling sleeve which has one end coupling with the lower end of a coupling axle and a connector which further couples to the pneumatic unit, and a drill coupling to the pneumatic unit. The pneumatic unit drives the drill to vibrate up and down reciprocally to strike and shatter bedrock. The drill has a drill shell which is alterable according to the diameter of the service shaft without changing the diameter of the pneumatic unit. The drill shell has a plurality of conical drill gimlets mounted thereon in different biased angles to shatter the bedrock and improve drilling and excavating effect.

The invention discloses a sludge cleaning boat. The sludge cleaning boat comprises a boat body, wherein the boat body is provided with a sludge excavating mechanism, a propelling mechanism and a sludge conveying mechanism, wherein the sludge excavating mechanism is arranged at the front end of the boat body, and can lift and fall relative to the boat body; the sludge excavating mechanism comprisesan excavating component and a sludge suction component; the sludge suction component is connected with the sludge conveying mechanism; the sludge conveying mechanism is connected with the sludge treatment mechanism; and the propelling mechanism has a first state in which the propelling mechanism is folded and a second state in which the propelling mechanism descends, is in contact with sludge andpushes the boat body to move. The sludge cleaning boat has the advantages that by the propelling mechanism, a certain propelling force is provided for the sludge excavating mechanism through the propelling mechanism, and the excavating speed of the excavating component is increased; and meanwhile, because the propelling mechanism is supported on sludge, stability of the boat body can be ensured,vibration of the sludge excavating mechanism during excavating cannot affect stability of the boat body easily, and safety of operators on the boat body is ensured.

The invention provides a method and device for mining and purifying similar books in a book library. The method for purifying similar books in the book library comprises the following steps: determining the group of each electronic book according to the names of all the electronic books in the book library; for each group, calculating the similarity among the electronic books in the group according to the chapter list of each electronic book in the group, and if the similarity between two electronic books in the group exceeds a set threshold, determining that the two electronic books are a pair of similar books in the book library; constructing a graph model of the book library by utilizing the similar books in all the groups in the book library, wherein each pair of similar books are two connected end points in the graph model; and for each communication component in the graph model, selecting one electronic book from the communication component to retain and deleting the other electronic books. By applying the method and device, the mining speed of the similar books in the book library can be improved and the scale of the book library can be reduced.

The embodiment of the invention discloses a data blood relationship mining method and device, a storage medium and electronic equipment. The method comprises the steps of: generating a preprocessing data table according to a target source data table, wherein the preprocessing data table comprises a data table identifier corresponding to the target source data table, and the data table identifier has global uniqueness; obtaining at least one derivative data table obtained by performing data processing on each data table containing the preprocessed data table in a service operation process of aservice system; determining each target derivative data table containing the data table identifier; and sorting the target source data table and the target derived data tables according to the generation time of the target source data table and the generation time of the target derived data tables, and determining a corresponding data blood relationship according to a sorting result. Through the technical scheme, the blood relationship of the data in the business system can be quickly and accurately determined.

The invention discloses a method for constructing natural gas pipelines in a mountain environment. The method at least includes the following steps that firstly, setting-out of a construction operation zone is conducted, the positions of positioning piles marked in a design drawing are determined by the aid of position finders at first and marked by striking signs so as to designate the construction operation zone, then the positions of the positioning piles are rechecked through the position finders after excavators arrive in place, and the operation zone is marked through ropes; secondly, a trench is dug; thirdly, construction platforms are built; fourthly, the pipelines are arranged, assembled and welded; and fifthly, backfilling and regreening are conducted, pipeline laying is completed, surplus soil is put back and punned, then regreening is conducted, and hydraulic protection measures are built. Due to the structural design, the method has the beneficial effects that construction is convenient, the construction effect is good, and water and soil preservation effects after construction and later-period regreening effects are good.

The invention discloses a power transformation operation and maintenance knowledge frequent pattern mining method and device, equipment and a storage medium, and the mining method comprises: carrying out the frequent pattern mining of a pre-constructed compact multi-term support tree CMIS_Tree, and outputting all frequent patterns obtained through mining. According to the Invention, historical data such as the knowledge item learning frequency and the knowledge item learning path of the trainee in an online system are sorted, a frequent pattern mining method is adopted, the incidence relation of all the knowledge items in the historical data is mined, the structured knowledge association rule between all the knowledge items is established, and a solid foundation is laid for personalized recommendation.

The invention relates to a news recommendation method and system based on user behavior data detection and computer equipment. The method comprises the following steps of: converting the news click behavior data of the user; generating a processible user behavior data set; filtering non-frequent behaviors in the user behavior data set; obtaining a relative frequent item set by using a frequent item set serial mining algorithm; constructing a relatively frequent item set tree formed by a relatively frequent item set in the user behavior, finding out an optimal frequent item set; calculating thecomplete support degree of the optimal frequent item set in the user behaviors, generating association rules related to the user behavior frequent item set according to the complete support degree, and recommending news to users according to the association rules. The real production environment can be fully considered, a large number of user behavior data sets can be efficiently processed, and the method belongs to the technical field of data analysis.

The invention belongs to the technical field of engineering machinery, and discloses an excavator bucket rod acceleration hydraulic system. The excavator bucket rod acceleration hydraulic system comprises a first main pump and a second main pump for providing working oil for the hydraulic system, a pilot pump for providing pilot oil for the hydraulic system, and a movable arm oil cylinder and a bucket rod oil cylinder which are used as actuators, the system further comprises a movable arm-to-bucket rod loop regeneration control valve arranged between the movable arm oil cylinder and a movable arm first control valve and a movable arm second control valve, wherein the movable arm-to-bucket rod loop regeneration control valve is used for controlling the switching between regeneration and non-regeneration between driving loops for regenerating the bucket rod oil cylinder from a rodless cavity or a rod cavity of the movable arm oil cylinder. The excavator bucket rod acceleration hydraulic system has the advantages that the driving loops for regeneration from the rodless cavity and the rod cavity of the movable arm oil cylinder to a bucket rod oil way is integrally designed, switching between regeneration and non-regeneration between loops can be achieved through the movable arm-to-bucket rod loop regeneration control valve, and flow regeneration switching between the loops under multiple working conditions can be achieved.

The invention discloses an association rule mining-based power marketing aid decision-making method and system. According to the technical scheme, the method comprises the steps that needed content is clicked in a control interface, the content in the control interface is requested to be acquired and selected, original power marketing data is cleaned and extracted in a Spark platform by applying an RDD parallel programming model, the data is preprocessed through Z-score standardization and an FCM clustering algorithm, and the data is stored in a database. A sparse matrix storage method is introduced on the basis of an association rule mining technology, an improved FFP-Growth algorithm is used for carrying out association rule mining on preprocessed data, a mining result is screened and evaluated, content requested to be obtained is output, the output content is called by using an SOAP protocol, and an interface is controlled to analyze and display the obtained content. And therefore, the problem of marketization requirements of electric power marketing development can be solved.

A bedrock drilling and excavating apparatus receives power from a rotational power source to drive a drill to strike and shatter bedrock under the gravity of the apparatus and reciprocal vibrations of a pneumatic unit located on the apparatus. The apparatus includes a coupling device to couple with the rotational power source and an air intake vibration structure, a coupling sleeve which has one end coupling with the lower end of a coupling axle and a connector which further couples to the pneumatic unit, and a drill coupling to the pneumatic unit. The pneumatic unit drives the drill to vibrate up and down reciprocally to strike and shatter bedrock. The drill has a drill shell which is alterable according to the diameter of the service shaft without changing the diameter of the pneumatic unit. The drill shell has a plurality of conical drill gimlets mounted thereon in different biased angles to shatter the bedrock and improve drilling and excavating effect.

The invention relates to a kudzuvine root digging device which comprises a digging shovel, a shell, a support and a motor. The digging shovel is rotatably arranged at one end of the shell, the motor is arranged inside the shell and is connected with the digging shovel in a driving mode, and one end of the support is hinged to the middle of the shell. The kudzuvine root digging device can effectively increase the digging speed of kudzuvine roots and enable the collecting process to be simple.

The invention belongs to the technical field of tunnel construction, and in particular discloses a construction method of a super-large-section deep tunnel and an accessory structure thereof. The method comprises the following steps: (1) sequentially dividing the cross section of a tunnel into a left area, a main area and a right area along the transverse direction; (2) digging a left hole and a right hole from the left area and the right area; (3) digging a main hole from the main area; (4) dismantling all temporary supports; (5) repeating the step (2), the step (3) and the step (4); (6) digging an air duct. Compared with the prior art, the construction method can be used for rapidly digging the super-large-section deep tunnel with small vibration.

The invention discloses mechanical equipment integrating foundation pit excavation support and hoisting. The mechanical equipment is used for city comprehensive pipe rack construction. Three gantry cranes are organically combined through a steel beam to form a rectangular frame, and iron plates are installed on the periphery and top. A sliding beam moves on a bearing beam to hoist a prefabricatedconcrete module into a foundation pit from the ground. Universal driving wheels are installed below column legs of the three gantry cranes. The headmost two sets of driving wheels are on the ground, the left four sets of driving wheels are in the foundation pit, the most front end of the equipment is provided with a vibration hammer, and a protection pile is driven into the position below the ground before excavation; a rotating wheel excavator bucket is adopted for continuous excavation, excavated-out mud is conveyed out through a conveying belt, an electric waste soil screen is arranged at the tail end of the conveying belt, and waste soil is screened and sorted; and finally, the rearmost crane column leg is hinged to a main body, thereby being capable of being removed together during turning.

The invention relates to a frequent item set mining method based on a Spark platform, and belongs to the technical field of data mining. Based on a Spark big data processing framework, the invention provides a novel BitMapFIM-Miner algorithm. A data set is processed in parallel, the data set does not need to be scanned many times, based on the thought of divide-and-conquer, transactions with the transaction lengths larger than a certain threshold value are segmented, then a bit operation method is used for calculating and generating frequent item sets, and finally the frequent item sets obtained by all parts are summarized and combined. By using a bit operation method, the mining speed of the frequent item set is accelerated, and the execution efficiency of the algorithm is greatly improved; Through theoretical analysis and experimental verification, it is found that an overlong transaction is segmented, a frequent item set can be efficiently obtained while it is guaranteed that the result is accurate, and a new idea is provided for a frequent item set mining method.

The invention relates to a bucket rod rocker arm mechanism of an excavator. A second shaft hole of the upper portion of a bucket rod is hinged to a shaft hole of the front end of an excavator boom. The bucket rod rocker arm mechanism is provided with a bucket rod cylinder used for driving the bucket rod to rotate relative to the excavator boom. The bucket rod rocker arm mechanism is characterizedin that the bucket rod rocker arm mechanism is provided with a rocker arm swing rod, a bucket rod push rod and a rocker arm bearing block; the rocker arm swing rod is provided with three working shaftholes which are arranged in a triangular mode; the first working shaft hole of the rocker arm swing rod is hinged to a shaft hole of the rocker arm bearing block; the rocker arm bearing block is located at the front end of the excavator boom; the third working shaft hole of the rocker arm swing rod is hinged to a first shaft hole of the bucket rod push rod; a second shaft hole of the bucket rod push rod is hinged to a power arm of the bucket rod; a lug ring of a piston rod of the bucket rod cylinder is hinged to the second working shaft hole of the rocker arm swing rod; the bucket rod cylinder drives the bucket rod to rotate by driving the rocker arm swing rod and the bucket rod push rod. The bucket rod rocker arm mechanism can effectively shorten the stroke of the bucket rod cylinder andincrease excavation force and the excavation speed.

The invention discloses a community discovery algorithm based on an improved association rule, and the algorithm comprises the steps: firstly carrying out the self-adaption of a support degree, and calculating the minimum support degree through a mathematic method; secondly, introducing a Boolean matrix and a transaction weight thought to improve an Apriori algorithm, and reducing the database scanning frequency; and finally, combining with a Spark platform to realize association rule improved community discovery algorithm parallelization. According to the community discovery algorithm based on the improved association rule, the community members are mined by using the MAC address. The Apriori algorithm is improved by introducing the idea of support degree self-adaption and adding a transaction weight to generate a Boolean matrix, the improved algorithm is combined with Spark to realize parallelization of the algorithm, and the relationship between community members is mined by mininga frequent item set. Experimental results show that the ARCD algorithm solves the problems of subjectivity of manual setting of support degree and redundancy of community mining results, has good expandability, and improves the mining speed of community discovery.

The invention provides a drill bit of a variable-curvature screw pile driver. The drill bit comprises a drill stem, a drill point, a screw blade and a drill pick; the curved surfaces of the two sides of the drill pick are an inner soil contacting curved surface and an outer soil contacting curved surface, respectively; the profile curve of the inner soil contacting curved surface of the longitudinal section of the drill pick and the profile curve of the outer soil contacting curved surface of the same conform to different equations, respectively; the drill point is composed of three drill point base bodies which are symmetrical to each other about the center of circle of an end face, going into soil, of the drill stem. The drill bit of the variable-curvature screw pile driver has the advantages that the equation curves adopted by the drill bit are optimized based on tests, the bionic curves applied to the inner and outer soil contacting curved surfaces are derived from cock toe soil contacting curved surfaces, the inner and outer soil contacting profile curves of the cock toes have excellent soil resistance reduction and desorption capability, and once the structures are applied to the drill pick part of the drill bit of the pile driver, the pile driver is enabled to have excellent soil excavation capability, and meanwhile, the soil resistance to the drill bit is also reduced, and therefore, the service life of the drill bit can be prolonged and the working efficiency of the drill bit can be improved.

The invention discloses a rescue intelligent mechanical vehicle with multiple matched mechanical arms and a working method of the rescue intelligent mechanical vehicle. The rescue intelligent mechanical vehicle with the multiple matched mechanical arms comprises a mechanical box, an excavating device, a lighting device, a camera device, a conveying device, a transmission device and a control unit. An electrical storage device, a control unit, an electromagnetic wave transmitter, an electromagnetic wave receiver, an oil cylinder output device and an engine are arranged in the mechanical box; the camera device and the lighting device are both installed on the box body wall of the mechanical box. The excavating device comprises four mechanical arms which are assembled at four corners of the top of the mechanical box; the drill bit is mounted at the front part of the vehicle body; the conveying device is installed on the top of the mechanical box, an oval sliding rail is arranged along the four edges of the top of the conveying device, and two square grooves are formed in the sliding rail and can move along the sliding rail. The transmission devices are arranged on the two sides of the vehicle body. The invention provides an effective rescue method when an accident occurs in mine operation, the rescue time can be shortened, and the safety of the wounded can be ensured.

The invention discloses a Chinese medicine constitution optimization classification method based on an improved CART decision tree and a fuzzy naive Bayesian combined model, and belongs to the engineering technical field of cross-integration of constitution science of traditional Chinese medicine and information science and technology. The present invention establishes a multi-dimensional human body facial skin index system, screens out index sets with strong correlation, and according to the different contribution levels of each index, retains the original attributes with emphasis to eliminate redundant attributes. Aiming at the classification requirements that require both interpretability and accuracy, it fully utilizes the good inductive characteristics of decision trees on attributes and inter-class relationships under the condition of few training samples and the highest accuracy rate of Naive Bayesian classification under the condition of many training samples. Advantages, the TCM physique optimization classification method can be used to quantitatively study the potential relationship between skin and TCM constitution, and provide certain scientific basis, data and method support for skin health maintenance, conditioning and treatment.

The invention belongs to the technical field of medical data mining, and particularly relates to a package type medicine purchasing anomaly detection method based on an FP-growth and graph network. The invention discloses a package type medicine purchasing anomaly detection method based on an FP-growth and graph network. The method comprises the following steps: S1, data preprocessing; S2, establishing a drug relation graph; S3, training the network; S4, drug combination mining; S5, establishing a drug relation graph of a single mechanism; s6, predicting a result; and S7, obtaining a final result, and repeatedly iterating the steps S4 to S6 to obtain all abnormal detail results of the specific region. The invention provides an FP-growth and graph network-based package type medicine purchasing anomaly detection method for solving the problem of institution package type medicine purchasing for extracting medical insurance funds. The FP-growth and graph network-based package type medicine purchasing anomaly detection method provided by the invention is used for solving the problem of institution package type medicine purchasing.

The invention discloses an intrusion detection method for a database, and relates to the technical field of network security. The method comprises the steps of 1, improving an association rule miningalgorithm; 2, performing data acquisition and preprocessing; Step 3, establishing an intrusion detection rule base; and step 4, performing intrusion detection. By improving the association rule miningalgorithm, the problems that an existing detection algorithm is complex and low in detection efficiency are solved; The detected intrusion behavior is mined by using an improved association rule mining algorithm to form a knowledge base; The problems that an existing detection method is poor in adaptability and low in detection efficiency are solved.