42results about How to "Reduce digging time" patented technology

The invention discloses a denormalization strategy selection method based on the frequent item set mining algorithm and particularly relates to a denormalization strategy selection method for mass data sets based on the frequent item set mining algorithm. The frequent pattern mining method is applied to guiding database denormalization for the first time; based on the frequent pattern mining algorithm of a concise tree, a brand-new process of establishing the concise tree and a correct counting method, serving for database denormalization selection, are provided. The denormalization strategy selection method based on the frequent item set mining algorithm has the advantages that through the frequent item set mining algorithm of association rules, important association or relation of item sets in mass data is discovered to guide DBA and the like to select and build denormalization strategies of databases, and the problem of performance bottleneck caused by mass table joins in the mass data is solved.

The invention discloses a method of item-all-weighted positive or negative association model mining between text terms and a mining system applied to the method. The method comprises the following steps of preprocessing by using a Chinese text preprocessing module to establish a text database and a feature word item library; mining item-all-weighted feature word candidate item sets from the text database by utilizing a feature word frequent item set and negative item set mining implementation module, calculating a weight dimension ratio, and cutting out uninteresting item sets by adopting a multi-interestingness threshold value pruning strategy to obtain an interesting item-all-weighted feature work frequent item set and negative item set model; mining an effective item-all-weighted positive or negative association rule model from frequent item sets and negative item sets by utilizing an item-all-weighted positive or negative association rule mining implementation module between terms, and outputting the mined positive or negative association rule model to a user by utilizing an item-all-weighted association model result display module between terms. By applying the method and the system, unnecessary frequent item sets, negative item sets and association rule models can be greatly reduced, Chinese feature word association rule mining efficiency is improved and a high-quality association model between Chinese terms is obtained.

Disclosed is a partial-sequence itemset based Chinese-English test word association rule mining method and system. A text information preprocessing module is used for performing preprocessing to establish a text information database and a feature word item base; a feature word frequent partial-sequence item implementation module is used for mining feature word candidate itemsets and solving out partial-sequence itemsets of the candidate itemsets, the candidate partial-sequence itemsets are pruned by a new itemset pruning method, weights of candidate partial-sequence itemsets are calculate, and supports of the candidate partial-sequence itemsets are calculated by a new calculation method so as to obtain frequent partial-sequence itemsets.

The invention discloses a Chinese interword weighing positive and negative mode excavation method and a Chinese interword weighing positive and negative mode excavatiom system based on relevant coefficients. The method comprises the steps of preprocessing a Chinese text through a Chinese text information preprocessing module; generating a feature word candidate 1-item set through a Chinese feature word candidate item set generation module, generating a candidate i-item set according to a candidate (i-1)-item set from an i item set (i is greater than or equal to 2), calculating the supporting degree of the candidate i-item set, obtaining a frequency item set and a negative item set, and performing item set cutting according to the association of the item sets to obtain an interesting feature word frequent item set and a negative item set; calculating an association rule interesting degree and a confidence coefficient through a Chinese feature word positive and negative association rule generation and result display module, and displaying an interesting feature word positive and negative association rule mode excavated from the frequent item set and the negative item set to a user. According to the method and the system, appearance of ineffective and uninteresting Chinese feature word association modes can be avoided, and the excavation efficiency is greatly improved; the association rule mode is applied to the field of Chinese text information retrieval, so that inquiry expansion is realized; the information retrieval and inquiry performance is improved.

The invention discloses an automatic vulnerability detection plugin generation method and system for an industrial control system. A current industrial control system vulnerability mining technology Fuzzing can find vulnerability but can not perform further processing on a vulnerability plugin. The method disclosed by the invention comprises a Fuzzing test link, a vulnerability playback link and avulnerability collecting link, the Fuzzing test link comprises the following sequential steps: constructing data sources and performing data storage; acquiring the data sources, starting to perform Fuzzing scanning, and mining vulnerability; monitoring a mining process; if all the data sources are completely polled and no problem is triggered, finishing the mining process; if a problem is triggered, acquiring node IDs of the data sources, and entering the vulnerability playback link; and the vulnerability playback link comprises the following sequential steps: generating the data sources andacquiring node information; acquiring the data sources, and starting to perform the Fuzzing scanning; and if no problem exists after verification, finishing, and if a problem exists, entering the vulnerability collecting link. The method disclosed by the invention can automatically generate a vulnerability detection plugin, converts unknown vulnerability into known vulnerability and improves vulnerability mining efficiency.

The invention discloses a completely-weighted mode mining method for discovering association rules among texts. Completely-weighted data to be processed are pre-processed, and a completely-weighted database and an item .library are established; a completely-weighted frequent item set and a negative item set are mined, and an interesting completely-weighted frequent item set and an interesting negative item set are obtained through pruning; the effective completely-weighted positive and negative association rules are mined through a support degree-CPIR model-correlation-interestingness evaluation framework. The completely-weighted mode mining method can overcome the defects of the existing weighing mining technology. Item weights are objectively distributed in the database and integrated with the completely-weighted mode mining method along with the completely-weighted data characteristics of the business record change, and a more actual and reasonable completely-weighted positive and negative association mode can be obtained. An invalid and uninteresting association mode is avoided. The number of mined candidate items, the number of frequent item sets, the number of negative item sets and the number of positive and negative association rule modes are smaller than the number of mined candidate items, the number of frequent item sets, the number of negative item sets and the number of positive and negative association rule modes in the prior art. The mining efficiency is greatly improved, and the completely-weighted mode mining method has good extendibility.

The invention relates to a cloud storage log data analysis method. The method includes the steps that firstly, preanalysis is conducted on cloud storage log data; secondly, the cloud storage log data obtained after preanalysis are calculated, so that a frequent item set required for generating a relation maxim is obtained; thirdly, according to the frequent item set obtained in the second step, the relation maxim of cloud storage logs is generated; fourthly, the relation maxim obtained in the third step is output. According to the method, the frequent item set is simplified, so that the scale of a generated candidate item set matrix is reduced, and the number of candidate item sets generated in the following iterative computation process is effectively reduced; in addition, by the improvement of the technical scheme, the candidate item set matrix is computed through user-defined matrix operations, the whole computation process is relatively simple, the computation amount of the data analysis process can be reduced, and excavation time is shortened.

The invention discloses a method and equipment for mining hot events based on regions and industries. The method includes: acquiring documents from a network; performing word segmentation on each document, and determining weight of each segmented word in each document; determining keywords of each document according to the weights; performing region and industry division on content of each document; correlating the keywords of each document with the content belonging to the same region and the same industry to form keyword groups, and determining weight of each keyword group; determining hot events in the region and the industry according to the weights of the keyword groups. Due to the fact that mining is performed targeted to specific regions and specific industries, hot events in the regions and industries that users are concerned about are provided for the users according to user requests. Furthermore, mining time can be reduced, calculated amount is reduced, and system resources are saved.

The invention provides a teaching affair data matrix weighted positive and negative pattern mining method and system based on correlation. The teaching affair data matrix weighted positive and negative pattern mining method comprises the following steps of pre-treating teaching affair data by using a teaching affair data pre-treating module; generating a subject candidate item set by using a subject candidate item set generation module; obtaining a subject negative item set by using a subject frequent item set and a negative item set generation module according to an item set supporting expect and calculating a candidate item set support degree; comparing with a minimum support degree threshold value to obtain a matrix weighted subject frequent item set and a negative item set; generating whole proper subsets of the subject frequent item set and the negative item set by utilizing a subject positive and negative correlation rule generation module, and calculating the comparison and the confidence coefficient of the item sets; comparing with a minimum confidence coefficient threshold value to obtain a matrix subject positive and negative correlation rule pattern; and displaying the subject positive and negative correlation rule pattern to a user by using a subject positive and negative correlation pattern display module. The teaching affair data matrix weighted positive and negative pattern mining method and system can be applied to a teaching affair information management system and can be used for mining the subject correlation rule pattern which is closer to a real pattern; the pattern can provide scientific evidences to educational transformation, teaching affair administration and education decision making.

The invention discloses a method of item-all-weighted positive or negative association model mining between text terms and a mining system applied to the method. The method comprises the following steps of preprocessing by using a Chinese text preprocessing module to establish a text database and a feature word item library; mining item-all-weighted feature word candidate item sets from the text database by utilizing a feature word frequent item set and negative item set mining implementation module, calculating a weight dimension ratio, and cutting out uninteresting item sets by adopting a multi-interestingness threshold value pruning strategy to obtain an interesting item-all-weighted feature work frequent item set and negative item set model; mining an effective item-all-weighted positive or negative association rule model from frequent item sets and negative item sets by utilizing an item-all-weighted positive or negative association rule mining implementation module between terms, and outputting the mined positive or negative association rule model to a user by utilizing an item-all-weighted association model result display module between terms. By applying the method and the system, unnecessary frequent item sets, negative item sets and association rule models can be greatly reduced, Chinese feature word association rule mining efficiency is improved and a high-quality association model between Chinese terms is obtained.

The invention discloses a soil profile sampling structure and an excavation method thereof. A soil profile comprises a square deep pit (1) and a square shallow pit (2), which are distributed at two-stage ladder-like manner, wherein the length, width and depth of the square deep pit (1) are respectively 60cm, 50cm and 100cm; the length, width and depth of the square shallow pit (2) are respectively 60cm, 50cm and 40cm; a sampling area (3) is arranged on one inside surface of the square deep pit (1); 50cm spoil areas are arranged outside the square deep pit (1) and the square shallow pit (2) respectively. The square deep pit (1) and the square shallow pit (2) are alternately excavated by adopting a T-shaped excavation head, a round shovel blade head and a trapezoidal shovel blade head in a matching manner. The soil profile sampling structure and the excavation method have the advantages that the profile space is smaller than the profile spaces in traditional methods; the structure is simpler; the sampled section is vertical, thus facilitating finishing, soil profile observation and sampling; the floor area can be obviously reduced, the loss can be reduced, the manpower, material resource and financial resource inputs can be reduced and the excavation time can be saved.

Embodiments of the invention provide a frequent item set mining method and device, a storage medium and electronic equipment. The mining method comprises the steps of obtaining an original data set; dividing the original data set into a plurality of sub-data sets; calculating at least one frequent item set of each sub-data set in the plurality of sub-data sets; summarizing all the frequent item sets of all the sub-data sets to obtain at least one candidate frequent item set of the original data set; and screening out a frequent item set of the original data set from the at least one candidatefrequent item set. By means of the method, the mining time of the frequent item set can be shortened.

The invention discloses a method for setting double-triple soil taking openings by a reverse construction method. Under the condition without influencing the first-layer vehicle running and the stability of a structure support system in the construction stage of the reverse construction method, the support and force transfer requirements of the reverse construction stage can be met by adopting a framework beam or the combination of the framework beam and a local triangular plate support form bottom to top in the region through the structure checking, on the premise, structures such as secondary beams, floor slabs and the like between two adjacent strides or three adjacent strides adopt post construction, and vacant regions of adjacent two-cabin or three-cabin floor slabs are set as soil taking openings. Through the arrangement of the double-triple soil taking openings, the contradiction between soil taking opening soil accumulation and the soil taking and the problem of vertical earthwork transporting passage are solved, the soil taking and the soil accumulation can be carried out in different hole positions, then, the position exchange regulation is carried out, the three-dimensional crossed construction is avoided, the soil outlet efficiency is improved, the soil digging time is shortened, the work period is saved, and the construction progress is ensured.

The invention provides a hydraulic system of an excavating machine, belonging to the technical field of machinery and aiming to solving the problems of easy energy loss and energy waste in the existing small hydraulic system of the excavating machine. The hydraulic system of the excavating machine comprises a main oil circuit and an auxiliary oil circuit; the main oil circuit is connected with a bucket arm link and an auxiliary link of the excavating machine and is provided with a main oil pump; the auxiliary oil circuit is also connected with the bucket arm link and the auxiliary link, and provided with an auxiliary oil pump; a pressure shut-off link is connected on the auxiliary oil circuit in parallel; and the pressure shut-off link is capable of combining the main oil circuit with the auxiliary circuit, or unloading the auxiliary circuit according to the pressure power of the main oil pump. The hydraulic system of the excavating machine has advantages that the energy waste is effectively reduced and the resource is saved.

The invention discloses an agricultural rapid sowing device. The agricultural rapid sowing device comprises two walking wheels, a bracket, an earth digging mechanism, a transmission mechanism and a seed falling mechanism, wherein the earth digging mechanism comprises a second rotary shaft, two first supporting plates and an earth digging shovel; the transmission mechanism comprises two second supporting plates, a conveyor belt, two third rotary shafts and two fourth gear discs; the seed falling mechanism comprises a seed storage box, a seed guide box, a first cover body, a second cover body, afixed pulley and a rope body. The agricultural rapid sowing device disclosed by the invention can synchronously realize forward movement, planting groove digging, uniform sowing of seeds and earth covering of the sowing device; the mode of the earth digging work of the earth digging shovel is an intermittent mode; planting grooves are dug in a planting land at intervals, the earth digging workingtime of the earth digging shovel is greatly reduced, the labor intensity of the earth digging shovel is reduced and the service life of the earth digging shovel is prolonged; the agricultural rapid sowing device is simple in structure, strong in operability and low in construction price, and can be vigorously popularized in the market.

The invention relates to a distributed cascade fission query method and device. The method comprises the following steps that: in a preset distributed system development frame, creating a fission word file used for putting fission words and a fission mode file used for putting a fission mode; according to the fission words in the fission word file and the fission mode in the fission mode file, carrying out iterative fission search to determine a fission word set and a fission model set; and according to the fission word set and the fission model set, carrying out fission processing on a statement to be queried, which is input by a user, and obtaining and returning a query result according to a processing result. By use of the method, on the basis of the distributed system development frame, the fission file is created, the fission set is determined to carry out the fission processing on the statement to be queried, which is input by the user and return the query result, and data mining time is shortened so as to improve query accuracy and query efficiency and improve user experience.

The invention relates to a thermoelectric refrigeration artificial formation freezer. The thermoelectric refrigeration artificial formation freezer includes a protecting device, a radiator and a solid-state refrigeration device, wherein the protecting device is arranged outside, the radiator is arranged inside, the solid-state refrigeration device is arranged between the protecting device and theradiator and is a semiconductor refrigeration plate, the semiconductor refrigeration plate is provided with a heat absorption end and a heat releasing end, the heat absorption end attaches to the protecting device, the heat releasing end attaches to the radiator, after electrification, the heat absorption end absorbs formation heat, and the heat releasing end takes away the formation heat throughthe radiator; and the semiconductor refrigeration plate controls a circuit, the magnitude of a current, and direction of the solid-state refrigeration device through a control unit. According to the freezer, electrification is refrigeration, a formation can be directly frozen without constructing a freezing station, the project cost and construction period are greatly reduced, the cost is lowered,and the work efficiency is improved; according to the needs of a project, segmenting freezing, directional freezing and forced unfreezing are realized, the refrigeration cost is saved, and the construction period is shortened; and natural water circulation cooling is adopted, and the risk of leakage to pollute the environment is avoided.

The invention discloses a novel tree removing machine. The novel tree removing machine comprises a driving cab, a track driving wheel arranged at the bottom of the driving cab, and a rotary digging device arranged on the front portion of the driving cab. The rotary digging device comprises a vibrating structure, a rotating structure and a digging knife structure. The vibrating structure, the rotating structure and the digging knife structure are arranged in sequence. The digging knife structure comprises a digging knife. An input shaft is arranged at the bottom of the digging knife. A bidentate wheel is arranged on the input shaft and a clamping end is arranged at the bottom of the input shaft. Symmetric bayonets are formed in the clamping end. The bayonets are bevel type, and grooves are formed at the end portions of the bayonets. The novel tree removing machine is simple and exquisite in structure, reduces labor use cost, expands the scope of use, saves digging time, reduces the damage to tree roots, improves efficiency of digging and transplantation and improves survival rate of trees.

The invention discloses a data processing system and a data mining method, belongs to the field of data processing, and is used for solving the problems that the existing data processing and mining system needs numerous and jumbled data mining, consumes long time and lacks an associated processing technology. The method comprises the following steps: acquiring a binary word string character, extracting a keyword in the binary word string character, and marking the keyword as a definition question; establishing a data relation with a big data platform, performing searching by taking the defined question as a keyword, and marking a search result as a database; when data in different databases are the same, marking the definition questions corresponding to the databases as associated group questions; carrying out data mining on the associated group questions, so that in the data processing process, association can be realized, the time required for data mining is reduced, and meanwhile, keywords obtained by data mining are from a data processing system, so that the keyword standardization time is greatly reduced, and the mining time is shortened.

The invention discloses a subway fault association recommendation method based on prior weight and a multilayer TFP algorithm, and relates to the technical field of tractive power supply systems in rail transit. The method comprises the following steps: firstly, analyzing contact network fault data collected on site; coding all fault types according to corresponding coding rules; dividing the fault data into three layers of fault databases; wherein the layers comprise a fault type layer, a fault equipment layer and a fault attribute layer; aiming at hierarchical characteristics for data, formulating corresponding weights according to the on-site conditions of the subway faults, and calculating the weights of all the layers; and generating a corresponding association rule path, mining top-kmost frequent modes on the basis of the generated strong association rule base to achieve the purpose of reducing the number of modes returned by mining, and finally returning k strong association fault rules with the highest support degree to the user.

The invention discloses a data processing system and a data mining method, belongs to the field of data processing, and is used for solving the problems that the existing data processing and mining system needs numerous and jumbled data mining, consumes long time and lacks an associated processing technology. The method comprises the following steps: acquiring a binary word string character, extracting a keyword in the binary word string character, and marking the keyword as a definition question; establishing a data relation with a big data platform, searching by taking the defined question as a keyword, and marking a search result as a database; when data in different databases are the same, marking the definition questions corresponding to the databases as associated group questions; and performing data mining on the associated group questions, so that in the data processing process, association can be realized, the time required for data mining is reduced, and meanwhile, keywords obtained by data mining are from a data processing system, so that the keyword standardization time is greatly reduced, and the mining time is shortened.

The invention provides a non-frozen shield mud for a shield freezing method and an application method thereof. The non-frozen shield mud for the shield freezing method is composed of clay minerals, water and a clay antifreezing agent and comprises non-frozen shield mud I and non-frozen shield mud II. By using the shield mud, a condition that a cutterhead of a shield tunneling machine, a shield body of the shield tunneling machine and a frozen soil mass are frozen and adhered when an opening operation by the shield freezing method can be achieved, and the whole tool changing operation can be finished by excavating the frozen soil mass which is only 1 / 2 of that of a conventional construction method without arranging a scaffold, so that safe and efficeint tool changing operation is achieved.

PROBLEM TO BE SOLVED: To provide a geothermal heat pump type air conditioner for saving energy by reducing load of a hydrothermal heat pump, generating no heat exchange loss owing to high heat exchange efficiency of an underground heat exchanger and for making it easy to process the underground heat exchanger, bore a hole for burying the underground heat exchanger and conduct a burial work. ŽSOLUTION: The geothermal heat pump type air conditioner consists of the underground heat exchanger 7 equipped with a resin supply pipe part 1 through which a heat medium spirally flows downward underground near an earth surface and a return pipe part 2 for returning the heat medium out from the supply pipe part 1 to above the ground, a water coil 8 for conducting heat exchange of air for air supply by flowing the heat medium which is heated and / or cooled by the underground heat exchanger 7 and a water heat source heat pump 9 for conducting heat exchange of a circulation refrigerant by flowing the heat medium and for conducting heat exchange of the air for air supply via the water coil 8 by the circulation refrigerant. Ž

The invention belongs to the technical field of underground engineering construction, and particularly relates to a foundation pit excavation method. According to the foundation pit excavation method,an open trench is excavated along a construction route by providing an excavator and a heading machine, then the heading machine is placed in the open trench, and a pretreated foundation pit is excavated by the heading machine. In the way, on the one hand, the excavator and the heading machine are excavated simultaneously, the excavation time can be saved, and the excavation efficiency is improved; on the other hand, when the excavator, a bulldozer and other equipment are used for excavating the foundation pit, the bulldozer needs to be reserved for the area where the bulldozer moves forwardand turns in the open ditch as well as muck treatment, thus a large excavation cross section is required, however, the heading machine is placed in the open ditch to excavate the pretreated foundationpit, only the area where the heading machine is lowered and taken out needs to be reserved, and thus the larger excavation cross section is not required to be produced during excavation; and the foundation pit for construction can be formed by collecting and transporting mucks produced during driving of the heading machine and treating the pretreated foundation pit.

The invention relates to the technical field of electric power, in particular to a graphic data mining method for online monitoring of mass information of power equipment, which comprises the following steps of: S1, opening a graph mining system for online monitoring of mass information of power equipment; S2, inputting search information through an input module, and classifying the information through a classification unit; S3, searching in different databases by a search module according to the information classification result; and S4, outputting the searched data result through an output module, and then displaying graphic data through a display module. The method has the characteristics that the searching of the whole database is avoided, so that the mining time is shortened, and the mining progress is ensured.

The invention relates to a thermoelectric refrigeration artificial formation freezer, which comprises an external protection device, an internal heat dissipation device and a solid-state refrigeration device arranged between the protection device and the heat dissipation device. The solid-state refrigeration device is a semiconductor refrigeration chip. The semiconductor refrigerating sheet has heat-absorbing and exothermic ends. The heat-absorbing end is attached to the protection device, and the exothermic end is attached to the heat sink. ; The semiconductor refrigeration chip controls its circuit, current magnitude and direction through the control unit. The freezer of the present invention refrigerates when it is powered on, and can directly freeze the ground without building a freezing station, which greatly reduces project costs and construction periods, reduces costs, and improves work efficiency; it can also realize segmental freezing, Directional freezing and forced thawing, saving refrigeration costs and shortening the construction period; using natural water circulation to cool down, there is no risk of leaking and polluting the environment.

The invention discloses a novel excavator bucket. The novel excavator bucket comprises a bottom plate, side plates, a wrapper sheet, a hinge plate, torque pipes, bucket teeth and a hydraulic breakinghammer, wherein the side plates are both arranged on the two sides of the bottom plate, the wrapper sheet is arranged on an upper end connecting part of the bottom plate, and the bottom plate, the side plates and the wrapper sheet are matched to form a bucket body; and the lower part of the wrapper sheet is fixedly connected with the bottom plate, two hinge plates are arranged on the upper part ofthe wrapper sheet in parallel, two sets of torque pipes are arranged on the hinge plate in parallel, a tooth holder is arranged at the lower end of the bottom plate, the bucket teeth are connected with the tooth holder through a tooth pin, and the hydraulic breaking hammer is arranged below the bottom plate. According to the novel excavator bucket, the bucket body capable of crushing soil is adopted, so that a multi-step excavation process is avoided, the excavation progress can be accelerated, and the excavation time is saved.

The invention discloses a subway fault correlation recommendation method based on a priori weight and a multi-layer TFP algorithm, and relates to the technical field of traction power supply systems in rail transit. The present invention first analyzes the catenary fault data collected on site, encodes all fault types according to the corresponding coding rules, and divides the fault data into three layers of fault databases, namely fault type layer, fault equipment layer and fault attribute layer. According to the layered characteristics of the data, according to the site conditions of the subway fault, the corresponding weights are formulated and the weights of each item in each layer are calculated to generate the corresponding association rules. Using the generated strong association rule base, the top-k is excavated on the basis of it The most frequent patterns to achieve the purpose of reducing the number of patterns returned by mining, and finally return the k strongly correlated fault rules with the highest support to the user.