129results about How to "Reduce the degree of manual intervention" patented technology

The invention discloses a warning and responding system used for intranet network attack detection. The system comprises a management center, a detecting machine and a database. The management center is used for configuring and amending each parameter of the detecting machine, receiving and storing warning message sent by the detecting machine and inquiring the state of the detecting machine. Anomaly information detection is carried out on an intranet network by an anomaly detection algorithmic module of the detecting machine, the anomaly detection algorithmic module obtains anomaly detection information and confirms the reliability of the information. When the reliability of the anomaly detection information reaches a preset value, the warning message is sent. The isolation time and the isolation form of an IP address generating the anomaly detection information are confirmed according to the warning message, and the IP address is isolated. The IP address that the isolation time reaches the preset value is released from isolation. The method can detect and prevent the attack from an intranet mainframe to outer net or other intranet mainframes exactly and effectively in time.

The invention discloses a real-time traffic condition judging method based on a time window. The method comprises the following steps of: performing data preprocessing; performing traffic state clustering initialization through a two-step clustering algorithm; updating the time window to obtain the traffic flow base data of a current time interval; and updating two-step clustering algorithm parameters and a clustering center, and judging the real-time traffic state of the current time interval. According to the invention, based on historical traffic flow base data, the traffic state clustering initialization is performed by a two-step clustering algorithm, and the optimal classification of the traffic state is obtained through primary selection of the optimal cluster number and determination of the optimal cluster number respectively; then, based on the initialization result, the real-time data is introduced, and the data is updated dynamically by use of a storage structure of the time window; and finally, the two-step clustering algorithm parameters and the clustering center are calculated and updated in real time, the optimal classification of the traffic state is re-determined, and the real-time traffic state of the current time interval is judged. The method makes up for the limitation of the conventional traffic state judging algorithm, and is of positive significance to promoting the construction of the urban intelligent transport system.

The present invention discloses a system for automatically configuring wireless network, which comprises a network unit manager, a base station and a mobile station. The mobile station is used for measuring positional information and measured information, and reporting the positional information and measured information to the base station. The base station receives the measured information and positional information reported by the mobile station and transmits to the network unit manager. The base station also receives the updated adjacent cell relationship list and updates the adjacent cell relationship list stored by the base station according to the updated adjacent cell relationship list for optimizing the configuration of parameter of base station itself. The network unit manager receives the reported measured information and positional information. An automatic optimizing algorithm is confirmed according to the network topological information stored by the network unit manager itself and the reported measured information and positional information. The adjacent cell relationship list is maintained and updated according to the automatic optimizing algorithm, and the updated adjacent cell relationship list is transmitted to the base station. The invention also discloses a method for automatically configuring wireless network.

The embodiment of the invention provides a method and device for data evaluation based on voice, belonging to the data processing technology field. The method comprises: performing voiceprint recognition of voice content according to the voiceprint information of the voice content, and performing distinguishing of the voice content according to the result of voiceprint recognition; performing emotion recognition of the voice content obtained after distinguishing, and generating an emotion recognition result; generating voice text according to the voice content obtained after distinguishing, performing emotion analysis of the voice text, and generating an emotion analysis result; and according to the emotion recognition result and the emotion analysis result, performing evaluation of the voice content prior to distinguishing, and generating an evaluation result. According to the embodiment, the data evaluation human cost is reduced, the evaluation data is not easy to lose, and the evaluation result is more objective and comprehensive.

The invention discloses a regional customer dividing method, a dividing apparatus, and a customer distribution system. The regional customer dividing method includes: determining a customer block dividing threshold; obtaining geographic information data of customers in a unit geographic region; and dividing the unit geographic region into a plurality of customer blocks according to the customer block dividing threshold and the geographic information data of the customers in the unit geographic region. According to the regional customer dividing method, customer block threshold dividing of the unit geographic region is automatically performed according to the determined customer block dividing threshold and geographic information of the customers, automation of customer or business distribution is realized, the degree of artificial intervention is obviously reduced, and the efficiency of customer or business distribution is improved.

The invention discloses a method for testing road damage based on post-disaster high-resolution remote sensing image, which belongs to the technical field of road damage detection and evaluation. The method comprises the steps as follows: high-resolution remote sensing image of a damaged road is preprocessed, and spatial registration is carried out on the image data and the data in a GIS road database; then, by adopting the assistant of the information in the GIS road database, the road coverage area before the damage is extracted through analyzing the post-disaster high-resolution remote sensing image; simultaneously, the road coverage area after the damage in the high-resolution remote sensing image is extracted; and road damage information is obtained through comparing the road coverage areas before and after the damage. The method fully uses the GIS road database, realizes the object-level damage testing method by adopting the post-disaster high-resolution image only, improves the accuracy of the testing results, and reduces the level of manual intervention.

The invention relates to an automatic planning method for a multifunctional reconnaissance radar operational task. According to the target real-time threat degree change, the task planning technologyof a multifunctional reconnaissance radar operational mode is dynamically adjusted, so that the multifunctional reconnaissance radar can self-adaptively select searching, TWS tracking, TAS tracking, target recognition, dangerous warning, weapon distribution and other work tasks according to the battlefield real-time situation, the multi-objective and multi-task execution capability of the multifunctional reconnaissance radar is improved, the manual intervention degree of an operator is reduced, and the real-time situation awareness and task planning capacity of the operator in actual combat are enhanced.

The present invention relates to a method for data classification based on machine learning. The method comprises the steps of: forming a first batch of a plurality of classification models corresponding to a first batch of a plurality of machine learning algorithms; employing each classification model in the first batch of the classification models to perform classification calculation of first data features; establishing an Nth batch of a plurality of iteration models, and performing learning training based on second data features; employing each iteration model to perform classification calculation of the second data features; measuring an approaching degree of a second classification result and an expected classification result; if the approaching degree meets a first condition, finishing the method; or else, perform iteration execution of the establishing step of the iteration models. The method can achieve an effect of similar deep learning so as to greatly improve the universality and the accuracy of data classification. The data classification method is high in reliability and low in artificial intervention degree.

The invention relates to a merchant value evaluation method. The merchant value evaluation method comprises steps that at least one statistics index of a merchant value is determined; standardized processing on transaction data related to each statistics index is carried out; an importance degree of each statistics index is determined according to the ordinal relation analysis, and an subjective initial vector is determined based on the importance degree of each statistics index; weight of each statistics index is determined according to an entropy weight method, and an objective vector is determined based on weight of each statistics index; the subjective initial vector is corrected based on correction rules and the objective vector to acquire a subjective correction vector, and the correction rules make weight of each statistics index and the importance degree of each statistics index accord with completely corresponding ordering relations; correction weight of each statistics index is calculated based on the subjective correction vector through the ordinal relation analysis method; the merchant value is evaluated based on the correction weight of each statistics index and the respective related transaction data. The method is advantaged in that an artificial intervention degree is reduced, and the merchant value can be more accurately evaluated.

The invention discloses an automatic transfer robot applicable to automatic barrel discharging of glass fibers. The automatic transfer robot comprises a walking mechanism (1), a rotating mechanism (2), a lifting mechanism (3), a telescoping mechanism (4) and a hopper (5). The rotating mechanism (2) rotating around the perpendicular axis is installed on the walking mechanism (1), the lifting mechanism (3) is installed on the rotating mechanism (2), the lifting mechanism (3) comprises a perpendicularly lifting sliding part (6), the telescoping mechanism (4) is fixedly installed on the sliding part (6), the telescoping mechanism (4) comprises telescopic arms (7) telescoping in the horizontal direction, and the hopper (5) is fixedly installed at the ends of the telescopic arms. The invention further discloses a working method of the automatic transfer robot. The automatic transfer robot applicable to automatic barrel discharging of glass fibers and the working method of the automatic transfer robot have the advantages that full-automatic barrel discharging work of the glass fibers can be achieved, the automatic transfer robot can adapt to exiting glass fiber production equipment to the maximum extent and is high in automation degree and good in product machining consistency, production efficiency is improved, and the work intensity of workers is relieved.

The invention discloses a novel jig for wok polishing and aims to solve the problem that an existing wok blank fixing manner cannot guarantee the consistency of the rotation speed of a wok blank and the rotation speed of a roller or a profiling jig, the texture of the wok blank is affected during polishing, wok center positioning is uncertain, and the existing wok blank fixing manner has certain limitation. The novel jig comprises a base, a rotating mechanism, a wok polishing jig, a center-regulating mechanism and an air cylinder, wherein the rotating mechanism is arranged on the base and can rotate relative to the base; the wok polishing jig comprises a wok blank profiling jig for polishing the inner surface of the wok blank and an outer-surface jig for polishing the outer surface of the wok blank; the center-regulating mechanism comprises a center-regulating support, a magnet, a thermal-insulation pad and a center-regulating connecting rod connected with the center-regulating support, the thermal-insulation pad and the magnet are arranged on the center-regulating support respectively, and the air cylinder is connected with the center-regulating mechanism through the center-regulating connecting rod. The novel jig for wok polishing has the advantages that the rotation speed difference between the jig and the wok blank can be eliminated, the wok blank can be completely fixed on the jig, and the polishing efficiency and stability of the wok blank are increased greatly.

The invention provides a named entity identification method for medical text data, and belongs to the technical field of information extraction. A hidden Markov model is used for carrying out sequence labeling on an original medical text to obtain a prediction word segmentation result. After prediction word segmentation processing is finished, a semi-supervised learning method is used for carrying out iterated self-learning on the word segmentation result to obtain an accurate and word segmentation and named entity identification result.

The present invention discloses a geocoding method and apparatus. The method comprises: performing word segmentation on a to-be-matched geographical address; for each word segment, obtaining, from a preset door address library, a pre-stored word segment matching the word segment; aggregating prestored word segments whose spatial distance is less than a preset first distance threshold into a same aggregation set according to spatial location information in attribute information of the prestored word segments; selecting one prestored word segment from each aggregation set corresponding to each word segment as an available prestored word segment of the word segment; and combining the available prestored word segments according to a word order of word segments, corresponding to the available prestored word segments, in a to-be-matched geographical location, generating to-be-matched results of the to-be-matched geographical address, and selecting one to-be-matched result from the to-be-matched results as a final matching result and performing geocoding to obtain a geocoding result. According to the geocoding method and apparatus disclosed by the present invention, automatic geocoding is achieved, no manual intervention is required, and processing efficiency and matching efficiency of geocoding are improved.

The invention relates to a special device for treating chaff mixture, which is simple in structure, simple in material separating technology, high in separating efficiency, excellent in separating effect, low in manufacturing cost, environment-friendly, stable and reliable in system operation, and convenient and fast. The special device for treating the chaff mixture comprises a processing system and a separating system, and is characterized in that the separating system comprises a separator, wherein the separator comprises an irregular-shaped separating chamber; the irregular-shaped separating chamber comprises an input flow channel, a collecting flow channel, and a recycling flow channel.

The invention discloses a training method and device of a load prediction model, a readable medium and electronic equipment, and relates to the field of computers, and the method comprises the steps:obtaining training data features of a plurality of historical load prediction tasks and a selected historical algorithm; taking the training data characteristics of each historical load prediction task and the selected historical algorithm as one piece of training data, and performing machine learning according to each piece of training data to obtain an algorithm selection model; obtaining a plurality of pieces of sample load data of the current load prediction task, and extracting current data characteristics of each piece of sample load data; predicting a current algorithm matched with thecurrent data feature from all historical algorithms through an algorithm selection model; obtaining at least one hyper-parameter corresponding to the current algorithm; and according to the current algorithm, the at least one hyper-parameter and each sample load data, training to obtain a current load prediction model. According to the technical scheme, the calculation time can be shortened, the calculation resources are saved, and the manual intervention degree is reduced.

The invention relates to the technical field of forage cutting and pulverizing, in particular to automatic forage chopping equipment with a convenient discharging function for breeding industries. A double-headed motor is adopted as a power supply source; a first motor shaft drives a first shaft to rotate through bevel gear transmission, therefore on one hand, a pulverizing knife in a feeding hopper is driven to primarily pulverize forage put into the feeding hopper, and the primarily pulverized forage falls on a rotating plate; on the other hand, cranked working is performed, a sleeve and a steel wire rope drives the rotating plate to perform reciprocating swinging, thereby providing convenience for subsequent cutting through a cutting assembly and feeding of the forage; in addition, a cam assembly works along with the first shaft to drive the cutting assembly to move vertically, so that the forage on the rotating plate is cut; a second motor drives a third shaft to rotate through bevel gear transmission, a spiral auger guide and pulverize the forage falling from a discharging cavity, and finally the cut and pulverized forage is discharged from a discharging pipe. The automatic forage chopping equipment with the convenient discharging function for the breeding industries is simple in operation, convenient, fast and low in manual intervention degree.

The method of dynamic configuration of power environment monitor system includes setting unique id and related properties for monitored object corresponding to a monitored point; set-up unified physical communication interface between monitoring module and system; set-up unified interface protocol between monitoring module and system; realizing automatic recognizing monitoring module and automatic configuring monitored object by system. The method lowers degree of manual intervention in operating, raises configuration and management efficiency and reduces umstabilizing factor brought by manual operation and error configuration, and save time.

The invention provides a WiFi module baud rate configuring method and system and a WiFi module. The method includes: S1, receiving calibration data sent periodically by an external terminal device; S2, sequentially selecting an unselected baud rate as a current baud rate from at least two baud rates that have been stored in order of priority from high to low; S3, analyzing the received calibrationdata accord to the current baud rate to obtain the analyzed calibration data; S4, judging whether the analyzed calibration data is the same as preset standard calibration data, performing S5 if the data is the same, otherwise, performing S1; S5, configuring the current baud rate as the working baud rate of the WiFi module; S6, sending a matching success instruction to the terminal device so thatthe terminal device stops sending the calibration data periodically. The scheme can reduce the degree of human intervention in the process of baud rate configuration of the WiFi module.

The invention provides a clip type feeding mechanism which comprises a rack and a transfer mechanism. The rack is provided with a feeding area and a material returning area which are used for carryingmaterial plates and arranged in parallel. The ends of the feeding area and the material returning area are provided with transferring areas which communicate with each other. The other end portions of the feeding area and the material returning area are provided with a feeding area used for material feeding and a discharging area used for material discharging. The transfer mechanism moves in thetransferring area and carries the material plates to the material returning area. The feeding area and / or the material returning area are / is provided with a lifting device and a horizontal moving device which are independent from each other. The lifting device is used for conveying the material plates among the transferring area, the feeding area and the discharging area through lifting motion; the horizontal moving device is used for inputting the material plates to or outputting the material plates from the feeding area and the discharging area through horizontal motion; and the lifting device penetrates the horizontal moving device in a lifting manner and transfers the material plates to the horizontal moving device. By means of the clip type feeding mechanism, material plate lifting, feeding and carrying work can be conducted while the material plates are loaded and unloaded.

The invention discloses a user equipment (UE) access information acquisition method and device. The UE access information acquisition method comprises the following steps: a base station receives MDT (Minimization of Drive Tests) measurement configuration information from OAM (Operation Administration and maintenance), wherein the MDT measurement configuration information carries UE random access preamble measurement configuration information; and the base station acquires the access information of UE according to the MDT measurement configuration information. According to the UE access information acquisition method and device, the base station automatically acquires the access information of the UE by using an MDT technology according to the MDT measurement configuration information issued by the OAM, and further evaluates the random access property of a cell at certain time slot according to the access information without the need of simulating such complex operations by using a test instrument, thus the optimization flow of a random access channel is simplified, the manual intervention degree is reduced, and the user network operation and maintenance cost is saved.

The invention discloses an artificial intelligence bid evaluation method and system based on big data analysis. The method comprises the following steps: receiving qualification information filled bysuppliers; for each supplier to be evaluated, calling historical bidding information, comparing the qualification information of this time of the supplier with the qualification information of the last time, identifying difference information, and generating auxiliary preliminary evaluation data; automatically allocating evaluation experts to the bid evaluation tasks according to evaluation task allocation rules, sending the bid evaluation tasks and the corresponding auxiliary preliminary evaluation data to corresponding evaluation expert clients, and entering a preliminary evaluation stage; receiving a preliminary evaluation result of the evaluation expert client, distributing the bid evaluation tasks which are qualified in preliminary evaluation to the evaluation experts again, and entering a detailed evaluation stage; performing expert scoring. According to the invention, each process of bid evaluation can be monitored, the consistency of data in each link of the whole business process is effectively ensured, the manual intervention degree of each business link of bid evaluation is reduced, and the fairness and justice of bid evaluation are ensured.

The invention provides an automatic synchronous bottom oil cylinder jacking and lowering device of a crawling crane. The device comprises a control box in which a manual operating module and an automatic operating module are arranged; a solenoid directional valve is mounted on an oil line of an oil cylinder of the bottom of the crawling crane; a vehicle body horizontal sensor is mounted at the telescopic end of the bottom oil cylinder; the manual operating module is directly connected with the solenoid directional valve to control the bottom oil cylinder to be raised and lowered; the automatic operating module is synchronously connected with the solenoid directional valve and the vehicle body horizontal sensor and is automatically controlled by receiving a signal from the vehicle body horizontal sensor. The automatic synchronous bottom oil cylinder jacking and lowering device of the crawling crane is simple in structure; the degree of manual intervention from an operator can be reduced, so that the degree of fatigue of the operator in operation can be decreased, the automation degree of the operation can be increased, and the safety of the bottom of the crawling crane in raising and lowering can be improved.

The invention relates to an environmentally-friendly water-saving type root infiltrating irrigation device used for light greening. The environmentally-friendly water-saving type root infiltrating irrigation device comprises infiltrating irrigation tubes and a water supply system connected with the infiltrating irrigation tubes. U-type leakage-prevention grooves are formed below the infiltrating irrigation tubes, first waterproof layers are arranged at the bottoms of the leakage-prevention grooves, a drainage plate, a second waterproof layer and a root stopping layer are sequentially arranged below the leakage-prevention grooves, the infiltrating irrigation tubes comprise tube bodies, water outlet channels are formed in the length direction of the tube bodies, a swelling groove is formed in the positions, along one side of the corresponding water outlet channel, of each tube body, the openings of the swelling grooves face the exteriors of the tube bodies, the swelling grooves are provided with only the openings facing the exteriors of the tube bodies, sealing edges are formed along the other sides of the water outlet channels and can be attached to the outer walls of the swelling grooves so as to close the water outlet channels, swelling bodies are arranged inside the swelling grooves and can swell after absorbing water so that the outer walls of the swelling grooves and the sealing edges can be attached, and multiple elastic resetting structures are arranged at the openings of the swelling grooves. Water-saving irrigation can be performed according to the humidity of soil, residual irrigation water and rainwater are collected to keep the humidity of the soil, and plant growth is facilitated.

The invention discloses a determining method for a foundation pit engineering monitoring data alarm grade. Multiple measurement points are arranged in foundation pit engineering. According to the method, all influence factors in the foundation pit engineering are graded in a quantified mode through a change rate factor QB, an accumulative amount factor QL, an environment aspect factor QH and a working condition factor QG, finally, through the formula QC=QB+QL+QH+QG, a measurement point alarm factor QC is calculated, and the alarm grade is determined according to the value of the measured point alarm factor QC. The determining method has the advantages that according to the classification of measurement point alarm degrees, an important alarm region is emphasized; all the influence factors are quantified, so that automatic program judgment is convenient, the manual intervene degree is decreased, and automatic accurate monitoring and alarming in the foundation pit engineering are achieved.

The invention discloses an injection mold conformal cooling channel topology generation method based on an equal cross section. Design of a conformal cooling channel is related to the appearance of aninjection product model. The two-dimensional cross section is adopted for representing the three-dimensional model exterior characters of an injection product, and the complexity degree of design ofthe conformal cooling channel is lowered. Meanwhile, by integrating injection mold cooling system design knowledge and curve offset and fairing and other algorithms, the degree of dependence on the experience of design engineers is lowered, and the design efficiency and design quality of the conformal cooling channel are improved.

The invention relates to an automatic material feeding device. The automatic material feeding device comprises a material inlet mechanism and a pushing advancing mechanism, wherein the pushing advancing mechanism comprises a rotating wheel, the outer wall of the rotating wheel is axially and equidistantly provided with material inlet grooves, the material inlet grooves are internally and movably provided with pushing blocks in a clamped manner, the inner ends of the pushing blocks are connected with the inner walls of the corresponding material inlet grooves through elastic parts, and the parts, at one ends of the corresponding elastic parts, of the pushing blocks are provided with blocking columns; and the material inlet mechanism comprises a material inlet hopper and a connection barrel,the bottom end of the material inlet hopper is connected with the side wall of the connection barrel through a material discharging hopper and communicates with the inner cavity of the connection barrel, one side of the connection barrel is fixedly connected with a spiral hood with the outer end face being in a spiral shape, the connection barrel and the spiral hood are arranged on the part, at one ends of the pushing blocks, of the rotating wheel together in a sleeving manner, and the spiral outer end face of the spiral hood is tangent to the blocking columns. By means of the automatic material feeding device, arranging performed on messy materials can be realized, force storing and releasing of the pushing blocks are realized through rotation of the pushing advancing mechanism, aluminumshells arranged neatly are pushed and fed to a material feeding station, the labor is lightened, and the production efficiency is improved.

The invention discloses a short-line matching segmental beam circulating flow production line and a production method thereof. The short-line matching segmental beam circulating flow production line comprises a first conveying channel, a first rail, a second conveying channel and a second rail, the heads and the tails of which are sequentially crossed to form a square circulation production line for circulation of a transmission bottom die; the first conveying channel is sequentially provided with a first transition station, a cleaning station, a marking station and a second transition stationin a production direction of an assembly line; the second transition station is arranged at the intersection of the first rail and the first conveying channel; the first rail is sequentially providedwith the second transition station, a checking station and a third transition station in the production direction of the assembly line; and the third transition station is arranged at the intersection of the first rail and the second conveying channel. The short-line matching segmental beam circulating flow production line has the advantages of capability of circulating production and small amount of hoisting equipment and can be widely applied to the technical field of prefabricating of short-line matching segmental beams.

The invention provides a self-help terminal and an operation method thereof, comprising: a management module, a card machine power supply module and a card reader; Wherein the management module is used for executing the following steps: S0: detecting whether it is in a power-on state, if yes, executing S1, otherwise, executing S4; S11 the power supply module of the control card machine supplying power to the card reader and sends an initialization instruction to the card reader; 2, when that code returned by the card reader according to the initialization instruction is received, determining whether the code characterizes the initialization failure of the card reader, if yes, executing S3, otherwise, executing S4; S3, that power supply module of the control card machine stoppping power supply to the card reader and returning to S1; S4: displaying preset operation interface; The card reader is configured to, when receiving the initialization instruction sent by the management module, execute an operation corresponding to the initialization instruction, and return a code characterizing the current state to the management module. The program can reduce the degree of manual intervention.

The invention provides a direction adjustment control system for a horizontal drilling machine. The direction adjustment control system comprises a positioning measurement system, a fuzzy controller,a PID (Proportion Integration Differentiation) controller and direction adjustment oil cylinders which are arranged on the drilling machine. The invention also provides a direction adjustment controlmethod for the horizontal drilling machine. The actual posture of the drilling machine is compared with the expected posture to obtain the real-time vertical deviation distance L and the deviation angle theta; deviation parameters and the rate of change thereof are input into the fuzzy controller; parameters KP, KID and KD in the PID controller are obtained by selecting appropriate fuzzy control rules and calculating; the PID controller sends out an action signal to the direction adjustment oil cylinders according to the PID parameters; and the direction adjustment of the drilling machine in the vertical or horizontal direction is realized through the cooperation of the action strokes between the different direction adjustment oil cylinders to ensure that the drilling machine advances according to the predetermined route. According to the direction adjustment control system and method, the fuzzy controller is introduced, and different direction adjustment strategies are adopted according to the magnitude of the deviation, so that the fast and high precise direction adjustment of the drilling machine is realized.

The application relates to a groundwater level measurement method and device based on a potential method, computer equipment and a storage medium. The method includes: obtaining a groundwater level measurement request based on the potential method; initializing measurement equipment according to the groundwater level measurement request; starting a line pay-off motor, and calculating length, whichis passed through by a detector, at the same time through an encoder; recording a resistance value of a loop formed between the detector and the ground through the measurement equipment when the detector detects a water surface; and when the resistance value is less than a preset threshold, stopping line pay-off, and calculating and obtaining current water surface height according to the currently recorded resistance value and the line pay-off length. The method realizes high-precision measurement through a single-line-type detection method. In addition, the measurement method of the invention can realize full-automation and high-precision water level measurement, effectively reduces a labor intervention degree, labor intensity and construction monitoring expenditure of on-site construction monitoring personnel, and realizes saving of manpower and material resource costs.