771results about How to "Reduce the situation" patented technology

The invention discloses an integrated control method of cold-rolling strip steel flatness and lateral thickness difference, comprising: moderately and mainly controlling the shape of the strip steel section on the upstream rack of a cold-rolling mill, and mainly controlling strip steel flatness on the downstream rack; based on a profiler configured on a No.1 rack inlet of the cold-rolling mill, actually measuring and hot rolling incoming material section shape and flatness and rolling technological parameter measured values of each rack, wherein the rolling technological parameter measured values comprise rolling force and a plate shape regulating mechanism measured value; actually measuring the cold-rolling strip steel flatness on the basis of a shape meter configured on the cold-rollingmill outlet; performing feed-forward control to the shape of the strip steel section by taking the upstream rack, in particular the No. 1 rack as a key point; and performing feedback control to the strip steel flatness by taking the downstream rack, in particular an end rack as a key point to realize integrated control to the cold-rolling strip steel flatness and lateral thickness difference. Theinvention performs integrated coordination control by the strip steel flatness and section shape and reduces cold-rolling strip steel lateral thickness difference on the basis of further improving cold-rolling strip steel flatness quality.

The invention provides a method and device for recognizing malicious users, and belongs to the field of network technology. The method includes the steps that historical behavior characteristics of a user to be recognized are acquired; a user classification model is acquired, wherein the user classification model is generated through classifier model training based on historical behavior characteristics of malicious users and historical behavior characteristics of normal users; the historical behavior characteristics of the user to be recognized are input into the user classification model to determine whether the user to be recognized is a malicious user or not. Through the user classification model obtained through classifier model training, the behavior characteristics of malicious users can be automatically analyzed according to the characteristics of a machine learning algorithm; compared with the prior art, the method and device have the advantages that the recognition process is independent of the subjective cognition of the human, and the coverage scope of behavior characteristics is wider, so that misjudgment and missed judgment are effectively reduced, and the accuracy of recognizing malicious users is improved.

The invention discloses an image anomaly detection method based on a variational auto-encoder, in particular to an anomaly detection method integrating a variational auto-encoder and support vector data description, solving the problems of separation of two stages of anomaly detection and feature extraction, limitation of anomaly detection performance and incapability of coping with high-dimensional and large-scale anomaly detection tasks in traditional anomaly detection in the prior art. The image anomaly detection method comprises the steps of collecting image data; performing data set division and data preprocessing; constructing an anomaly detection model based on the variational auto-encoder; training an anomaly detection model; calculating a threshold value for distinguishing normaland abnormal image data according to the trained model; and judging whether the to-be-detected image is an abnormal image or not by using the trained model. According to the image anomaly detection method, support vector data description is adopted to perform distance constraint on the features extracted by the variational auto-encoder, and the extracted features are more suitable for anomaly detection, and the memory complexity is low, and the image anomaly detection method can be applied to high-dimensional and large-scale anomaly detection tasks.

The invention provides a data processing method, a terminal and a computer readable storage medium. The data processing method comprises the following steps of acquiring sampled data; generating indicator data based on normal distribution according to a mean value and a standard deviation of the sampled data; acquiring to-be-tested data; determining whether the to-be-tested data falls into a dynamic standard range of the indicator data; and if the to-be-tested data is beyond the dynamic standard range of the indicator data, determining that the to-be-tested data is abnormal data, warning the abnormal data, recording to-be-tested data in a previous preset time domain with a time point at when the abnormal data is generated as a reference time point, and using the to-be-tested data as warning prediction data. Through adoption of the method, laws of different types of data are learned, so as to determine a normal range and an abnormal range of data, so that operation and maintenance personnel can work more efficiently, and to-be-tested equipment is less likely to fail.

Embodiments of the present application disclose a traffic signal light identification method and apparatus. A specific embodiment of the method comprises the following steps: scaling an image to be processed collected by an image acquisition device according to at least one preset proportion to obtain at least one scaled image; Inputting the at least one zoom image to a pre-trained convolutional neural network for obtaining position information and class information of traffic lights corresponding to each zoom image in the at least one zoom image, wherein the convolutional neural network is used for extracting position information and class information of traffic lights displayed in the image; analyzing The obtained position information and category information to generate at least one candidate traffic signal lamp recognition result, and fusing the generated candidate traffic signal lamp recognition result to generate a traffic signal lamp recognition result corresponding to the imageto be processed. This embodiment improves the accuracy of traffic light identification.

The invention provides a target tracking method, device and system. The method comprises the following steps of detecting a target object in a current frame image by a detection model, and judging whether the target object is a designated target or not; if yes, acquiring the tracking target matched with the specified target in the specified frame image before the current frame image; if the matching tracking targets are a plurality of, determining a designated target from the plurality of tracking targets according to the relative positions of the detection data of the plurality of tracking targets; estimating a position of a tracking target other than a specified target in a current frame image based on a position of the tracking target other than the specified target in the specified frame image among a plurality of tracking targets, determining an occluded target from the tracking target other than the specified target according to an estimation result. The invention can realize thetracking of an unoccluded target object and an occluded target, reduces the occurrence probability of tracking loss, and improves the accuracy rate of target tracking.

A binocular vision technology adopted commodity identification algorithm for an unmanned vending counter comprises the following steps: preparing data; building a training model, wherein the trainingmodel adopts a yolo v3 model based on a TensorFlow framework; verifying the above model. and determining whether a training result meets expectation; if the expectation is not met, adjusting parameters to perform optimization, and repeatedly executing training process to perform retraining; if the expectation is achieved, deploying the trained yolo v3 model to perform identification of a target commodity; and obtaining images of the target commodity to be identified by utilizing binocular cameras on the unmanned vending counter, and inputting the images to the trained yolo v3 model to identifythe target commodity out. Image acquisition is performed by the binocular cameras, and commodity occlusion or perspective conditions are reduced; target detection is performed by the yolo v3 model, the difficulty and the calculation amount of the identification algorithm are reduced; and the identification accuracy is improved by adding different scales for the target detection, and the good effect of identification on small target commodities is achieved.

The invention belongs to the technical field of power transmission and transformation equipment routing inspection, and particularly relates to a power transmission and transformation equipment fault routing inspection core system based on ultrasonic waves and infrared thermal images. The power transmission and transformation equipment fault routing inspection core system based on the ultrasonic waves and the infrared thermal images comprises a data acquisition module, a computer, a wireless communication module and a battery power supply system, wherein the battery power supply system is connected with the data acquisition module, the computer and the wireless communication module, the data acquisition module comprises an infrared thermal image sensor, an ultrasonic wave sensor, a protective cover, a holder and a network switch, the wireless communication module comprises a wireless broadband terminal and antennas, the infrared thermal image sensor and the ultrasonic wave sensor are installed in the protective cover arranged on the holder, and the network switch is connected with the ultrasonic wave sensor, the infrared thermal image sensor and the computer. The power transmission and transformation equipment fault routing inspection core system based on the ultrasonic waves and the infrared thermal images has the advantages that the ultrasonic wave technology and the infrared thermal image technology are comprehensively used for detecting faults of electrical devices, accuracy of fault diagnosis is improved, the frequency of missing inspection and the frequency of incorrect inspection are reduced, and the power transmission and transformation equipment fault routing inspection core system based on the ultrasonic waves and the infrared thermal images is high in efficiency, convenient to use, flexible and the like.

The invention discloses a machine vision based robot automatic locking control system and method, and aims at realizing automatic, efficient and accurate locking of a threaded hole to be locked by a robot. The robot is a demonstration robot which is provided with a demonstration box; a locking device is mounted at the tail end of the robot and is used for adsorbing a bolt to be used; the bolt to be used is screwed into the threaded hole to be locked under the control of a controller; a conveying unit for conveying the bolt is capable of conveying the bolt to a fixed adsorption position; a ceramic is used for acquiring an image of the threaded hole to be locked and sending the image of the threaded hole to be locked to the controller; and the controller is capable of comprehensively controlling the robot and the locking device.

The invention provides a method and device for realizing software bypass in a firewall. The method comprises a step of judging whether a current network traffic flow is larger than or equal to a preset flow threshold, a step of calling a pre-packaged software bypass operation interface in a message receiving end function or an important safety service processing function if the current network traffic flow is larger than or equal to a preset flow threshold such that the software bypass operation interface obtains a current CPU use rate and a current network port receiving rate through calling a pre-packaged calculation interface and the software bypass is carried out between preset paired software bypass network ports according to a preset rule when the current CPU use rate and the current network port receiving rate are larger than a current hardware equipment platform safety service processing packet loss threshold value. According to the method and the device, the problem of network jam or disconnection caused by equipment packet loss when current network flow is large or the sudden traffic of a peak time appears and the current network flow reaches the maximum performance upper limit of the safety service processing of a firewall in the prior art is solved.

The invention discloses a drug target affinity prediction method based on deep learning, and relates to the technical field of drug target affinity prediction. The method comprises the steps of: obtaining a drug compound and target protein data from a Davis data set and a KIBA data set; encoding the compound, and representing the protein by using a position specificity scoring matrix; inputting acompound label code into a CNN model, and performing feature extraction on the compound to obtain molecular representation of the compound; inputting the position specificity scoring matrix of the protein into an LSTM model, performing feature extraction on a protein sequence, and learning an order relationship between amino acids in a protein structure and a relationship between residues on the protein sequence to obtain the sequence representation of the protein; and simultaneously inputting the molecular representations of the compounds and the sequence representations of the proteins intoa fully linked layer to predict the affinity of the interaction of the compounds and the proteins. The method can predict the affinity relationship between the drug and the target more accurately.

The invention relates to a rotary type shaver with a head part capable of omnidirectionally floating, which belongs to a personal care product. The prior rotary type shaver with a floatable shaving surface has the defects that are not easily overcome in shaving speed and shaving comfort level. The rotary type shaver with the head part capable of omnidirectionally floating comprises the head part and a body, wherein the head part comprises a screen head and a screen head seat and is in structural connection with the body through the screen head seat; the screen head is provided with at least one shaver set and also provided with an attaching surface and a shaver seat supporting piece which are matched with the shaver set; the shaver set comprises an outer cutter which forms a shaving surface and an inner cutter which can be driven and perform rotary movements relative to the outer cutter; the screen head seat of the head part is connected with the body through an elastically combined connection mechanism which comprises a shaver shaft component and a supporting spring; meanwhile, a screen head seat shell and a body shell realize the structure inosculation through the same curvatureswhich are mutually matched and the same radius concave and convex spherical surfaces so as to ensure that the head part can float omnidirectionally relative to the body, thus a user can obtain fast and comfortable shaving feelings.

The invention discloses an off-road vehicle wheel free of inflation. The off-road vehicle wheel free of inflation is composed of a flexible rim, elastic spokes and a rigid hub. The off-road vehicle wheel free of inflation is normally installed on an off-road vehicle. When the off-road vehicle runs, the off-road vehicle wheel free of inflation bears the action of a complicated road surface, and the flexible rim and the elastic spokes generate elastic deformation under the action of external force. When the external force is eliminated, the flexible rim and the elastic spokes recover. In this way, the external force is effectively buffered, shock of the vehicle is reduced, and the bearing capacity of the vehicle is improved. Through a polyurethane interlayer of a hexagonal structure similar to a honeycomb, the firmness of the wheel is improved, a load is evenly distributed, and therefore the environmental adaptability and the safety are improved. A rubber layer is provided with rubber wheel thorns, and therefore the traction performance and the adhesion performance of the vehicle are improved. The off-road vehicle wheel free of inflation is simple in structure, convenient to replace, high in applicability and suitable for various complicated road surfaces, air leakage and burst are avoided, the shock of the vehicle can be effectively reduced, the bearing capacity and the buffering capacity of a vehicle body are improved, the environment adaptability and the safety are improved, and the traction performance and the adhesion performance of the vehicle are improved.

The invention provides a method, a device and a system for adjusting the coverage area of a base station. The method for adjusting the coverage area of the base station comprises the following steps of: acquiring a throughput rate of a sector; if the throughput rate of the sector is more than or equal to a heavy load threshold, acquiring a step value for adjusting downtilt or a transmitting power of an antenna of the sector according to signal quality data which is reported to the sector when a terminal switches the base state or according to a pre-stored reference data table; sending a first adjustment command which carries the step value to the base station to which the sector belongs, so that the base station can adjust the downtilt or the transmitting power of the antenna of the sector according to the step value after receiving the first adjustment command, and the coverage area of the base station is adjusted. By the method, the device and the system, the size of a coverage overlapping area of the base station and an adjacent base station is guaranteed, so that terminals which are positioned in the coverage overlapping area can enjoy normal voice service and data service, the phenomenon of unsuccessful switching or ping-pong switching is avoided, and the communication quality of the terminals in the coverage overlapping area is improved.

The invention discloses a method and device for automatically monitoring the on-the-job state of automatic detonator filling production line personnel. According to the method, a set of cameras is mounted on each station of a production line to conduct dead-corner-free real-time monitoring on the production line, and the images shot by the cameras are sent to a monitoring room in real time; the monitoring room is provided with an automatic video signal recognition device, the automatic video signal recognition device compares video signals acquired at site with standard video signals shot in the normal production state, and when the comparison result exceeds the set range, the automatic video signal recognition device gives out an alarm signal to remind operators on duty to conduct timely treatment. By means of the method and device, the defect that whether too many employees exist in the automatic detonator filling production line or not, whether employees are normally on guard or not and whether the employees are in the normal working state or not are judged by on-site supervisors at site or verified through monitor videos by monitoring room staff on duty is overcome, and the abnormal state in the production process can be timely found out.

The invention discloses an automatic seedling tray seeding assembly line. The seeding assembly line is sequentially fixed with a seedling tray upper tray device, a substrate laying device, a precision roller sowing device, a spraying device, a substrate covering device, and a seedling tray stacking device. A seedling raising tray is placed above the seedling raising tray upper plate device, and the seedling raising tray is pushed to the sowing line along the conveyor belt. The working efficiency of the assembly line of the present invention is 10 times that of the traditional artificial seedling raising mode, reduces the labor cost by two-thirds, and can significantly improve the quality of seedling raising. The operation is simpler, the work efficiency and quality are higher, the commonality of parts is better, the reliability and safety are higher, and the market prospect is very broad.

The invention discloses a low-energy-consumption high-yield method for preparing hydrogen from raw gas. The method comprises the following procedures: pre-cleaning; naphthalene removal; transformationand desulfurization; sulfur recovery; refined debenzolization; pressure swing adsorption for hydrogen production; recovery of tail gas; nitrogen production; etc. After pretreatment and naphthalene removal, raw gas is allowed to enter the procedure of transformation and desulfurization so as to obtain more hydrogen and increase the yield of hydrogen, and then desulfurization is carried out in a desulfurization tower; then pure hydrogen is prepared through the procedure of refined debenzolization and the procedure of pressure swing adsorption for hydrogen production; through the procedures of tail gas recovery and nitrogen production, effective hydrogen in desorbed gas is recovered, and hydrogen yield is further increased; and pure nitrogen with a purity of 99% or more is further prepared through a nitrogen production unit. The method provided by the invention substantially reduces the energy consumption of an apparatus for hydrogen production from raw gas, increases hydrogen yield, recovers almost all the effective hydrogen component in the desorbed gas, realizes recovery and graded utilization of each component in the raw gas while guaranteeing low energy consumption and high yield, and by-produces sulfur, pure nitrogen and the other products while preparing pure hydrogen.

The invention relates to the field of intelligent decision making and discloses a consultation request processing method and device, a computer equipment and a storage medium, to reduce question and answer interaction between an operator and a user, reduce the situation of low efficiency caused by human participation and effectively improve consultation feedback efficiency. The method comprises the following steps: obtaining a consultation request triggered by a user through an application, wherein the consultation request comprisingto-be-answered consultation text information; determining whether the to-be-answered consultation text information being questioning text information or not through a preset text classification model; if being determined that the to-be-answered text informationbeing question text information, to extract a to-be-answered question from the to-be-answered text information; determining the similarity between the to-be-answered question and the historical questioning question according to a preset similarity model; determining target answering content according to the similarity between the to-be-answered question and the historical questioning question; and performing consultation feedback on an answer corresponding to the consultation request.

The invention provides a portable tool wear measuring instrument and a method for predicting the remaining service life of a tool through the measuring instrument and relates to the technology of tool wear measurement. The problems that software / hardware systems of an existing tool wear measuring device is huge, installation and debugging are complex, the service life of a tool is mainly judged by human experience, and judgment is inaccurate are solved. An opening is formed in a shell and used for making the tool extend into the measuring instrument. Cameras and light source lamps are arranged on the periphery of the tool. The brand-new tool is used for cutting a workpiece multiple times according to specific cutting parameters till the tool face abrasion amount reaches the bluntness standard, and cutting time of each time and the tool face abrasion amount are recorded; and the cutting time of each time and the tool face abrasion amount are fitted into a curve through a data processing circuit, and the curve is a service life curve. The abrasion amount of the used tool is measured and compared with the service life curve, so that the service life of the tool is acquired. The portable tool wear measuring instrument is simple in structure, convenient to install and accurate in service life prediction.

The invention relates to a radar signal feature extraction method based on residual depth learning. With a designed residual depth learning network, deep-level feature extraction is carried out on a radar radiation source signal in a complex electromagnetic environment. The method is implemented as follows: parameters of the residual depth network are trained by using the existing radar data in adatabase; the intercepted data are sent to the input terminal of the residual depth network and results are outputted after mapping of multiple hidden layers, wherein the outputted results are used asthe depth features of the pulse string; with a clustering method, the obtained depth features are clustered, and the correlation degree of each two radiation sources after clustering is calculated and processed according to a correlation criterion; and then the parameter of each radiation source after fusion is calculated and sorting is completed. Therefore, the depth features among data can be dug; the sorting precision is high; and the radar signal feature extraction method can be applied to fields of target reconnaissance and interference source localization.

The invention discloses a non-gas metal arc welding 3 D adding material repair device and repair method. The repair device comprises a controller, a four-axis linkage platform, a laser vision sensor, an infrared vision sensor, a clamp, a non-metal arc welding torch, a wire feeding unit and a welding wire disc. The repair method comprises the steps that a defective workpiece is installed on a repair workbench; the laser vision sensor is driven to scan a defective three-dimensional outline; the controller rebuilds the defective three-dimensional outline; specific welding parameters are determined; the controller drives the infrared vision sensor to scan a molten pool, time-frequency parameters of a molten pool image are obtained, a compensation control code is generated according to the time-frequency parameters of the molten pool image, and the set welding parameters are corrected in real time; and after repair, the laser vision sensor is driven again to scan the defective three-dimensional outline, whether the repaired workpiece reaches the standard is determined, and if not, defects are repaired again till defect repair reaches the standard. The repair device is simple in structure, convenient to operate and high in reliability and adaptability.

The invention relates to composite material which is used to produce positive pole of second battery and the produced battery. The composite material which is used to produce positive pole of second battery is powder and with olivine structure or NASICON structure, the powder of composite material is primary particle with 10-500 nanometer, and the secondary particle with 1 mm consists of the primary particle. The second battery includes negative pole, electrolyte, and positive pole produced by composite material, and composite material is powder and with olivine structure or NASICON structure, the powder of composite material is primary particle with 10-500 nanometer, and the secondary particle with 1 mm consists of the primary particle. The invention can improve the surface area of material, and increase the capacity, and easy to be produced, and the formed battery has high rate of charge and discharge, high capacity, and reduce the overcharge or overdischarge to increase the battery life.

The invention discloses a serial connection fault arc detection circuit. The serial connection fault arc detection circuit comprises a current sampling circuit (1), a noise suppression and amplification circuit (2), a rectifying circuit (3), a comparison circuit (4) and a control circuit (5), wherein the current sampling circuit (1) is arranged on a live wire of a detected line, and is used for outputting a current detection signal representing the current high frequency component of the live wire; the noise suppression and amplification circuit (2) is used for denoising and amplifying the current detection signal to obtain an alternating current high frequency signal; the rectifying circuit (3) is used for converting the alternating current high frequency signal into a direct current high frequency signal; the comparison circuit (4) is used for comparing the amplitude of the direct current high frequency signal with a preset voltage threshold so as to output a fault arc alert signal; and the control circuit (5) is used for outputting a protection signal according to the fault arc alert signal. The serial connection fault arc detection circuit can improve the accuracy for serial connection fault arc detection, and can reduce the mis-operation and refusal to operation situation for a protection device so as to improve the reliability of a fault arc protection device and realize stable working remotely or in the environment with serious electromagnetic interference.

The invention discloses a grinding device for sapphire wafers. The grinding device for sapphire wafers comprises a pulp stock barrel, a peristaltic pump and a grinder, wherein a pulp stock trough is arranged on the grinder, and pulp stock enters into the grinder through the peristaltic pump and the pulp stock trough. The grinding method for the sapphire wafers comprises the following steps: 1, preparing the pulp stock: putting in raw materials by levels and layers; 2, controlling pulp stock flows: putting pulp stock accurately; 3, correcting the flatness of the surface of a grinding lower plate: repeatedly measuring by using a long gauge, a short gauge and a dial gauge, and correcting; 4, distributing powder on the surface of a grinding plate; and 5, grinding both sides of each wafer: firstly carrying out light pressing grinding. The grinding method provided by the invention is characterized in that raw material ratio of the pulp stock is optimized, the pulp stock supplying flow is more accurate, the conveying is more even, before normal grinding, light pressing grinding is performed firstly, the problem of wafer breakage during a grinding process can be prevented for the greatest possible, the wafer breakage rate is lowered, the merit factor of grinding is improved, the removing rate during grinding is stable, the problems of over grinding and low removing rate cannot be caused, and the efficiency is relatively high.

The embodiment of the invention discloses a live streaming cache processing method and device, equipment and a storage medium. The method comprises the following steps: judging whether audio cache data is in a stable state or not according to the change state of the cache duration of the audio cache data in an audio cache region in the playing process of live streaming contents; wherein the live broadcast content comprises the audio cache data; if yes, obtaining the caching duration of the audio caching data at the current moment; and reducing the cache accumulation of the live streaming content by adopting a processing strategy matched with the cache duration, so as to reduce the situations of multiple content jumps and multiple-speed start and stop occurring when the cache accumulation of the live streaming content is played, thereby enabling the live streaming content to be played smoothly.

The invention discloses a method for updating a routing lookup tree. The method comprises the following steps: determining an update level mark table and node update information according to an updated entry when determining that a routing lookup tree needs to be updated; sequentially selecting levels from the routing lookup tree as the current layer; and if that the current layer needs to be updated is determined according to the update level mark table, locking an upper layer of the current layer in the lookup tree and synchronizing the node update information to the current layer of the lookup tree, and so on, and completing the updating of the routing lookup tree until that the current layer is the last layer needing to be updated is determined according to the update level mark table. The invention further discloses a device for updating a routing lookup tree. By the adoption of the method and the device of the invention, the time of lookup blocking during routing lookup tree updating can be reduced, and the possibility of packet error or packet loss caused by simultaneous conduction of updating and lookup can be reduced.

The invention provides a fractured end micro-movement and blood supply based fracture healing simulation system, relating to the field of biomedical engineering. The system is used for predicting a complicated process of fracture healing and exploring undetermined mechanisms in fracture healing. The system comprises a fracture healing simulation sub-system, an input module and a display module. The fracture healing simulation sub-system (1) comprises a geometry modeling module, a grid partition module, an environment initialization module, a biomechanical calculation module and a biological environment module. The biological environment module is used for creating a biochemical environment of callus in fracture healing so as to finish tissue differentiation in the callus. According to the system, blood supply is used as a dynamic variable and is introduced to the fracture healing simulation system, so that the fracture healing process can be simulated more accurately. The system can perform experiment simulation repeatedly, thereby helping to find out the best fractured end micro-movement value and the impact of blood on fracture healing.

The invention discloses a gas metal arc welding 3D material increase repair device and a repair method. The device comprises a controller, a four-axis linkage platform, a laser vision sensor, an infrared vision sensor, a clamp and a melting electrode welding torch. The repair method comprises the following steps: mounting a defective workpiece on a repair working table; driving the laser vision sensor to scan a three-dimensional outline of a defect; reestablishing the three-dimensional outline of the defect by using the controller; determining specific welding parameters; driving the near infrared vision sensor to scan a molten pool by using the controller to obtain a time-frequency parameter of an image of the molten pool, generating a compensation control code according to the time-frequency parameter of the image of the molten pool, and correcting the set welding parameters in real time; and after repair is finished, driving the laser vision sensor again to scan the three-dimensional outline of the defect, judging whether the repaired workpiece reaches the standard or not, and if the repaired workpiece does not reach the standard, repairing the defect again until repair of the defect reaches the standard. The gas metal arc welding 3D material increase repair device is simple in structure, convenient to operate, high in reliability and high in adaptability.

The invention discloses a technique of wood deep carbonation. The carbonation steps include: A, conduction oil is heated in a heating furnace to 350-600 DEG C, the heated conduction oil continuously flows on a hot press board of a hot press machine, and the surface temperature of the hot press board reaches 350-600 DEG C; B, dried wood is arranged on the hot press board, and in arrangement, uniformity of the thickness of the wood arranged on the hot press board is ensured; C, after arranged, the wood is pressed tightly with the hot press board, and the press pressure is 1.5-2.0MPa; D, after the wood is pressed tightly with the hot press board for 20-25min, the pressure of the hot press machine is promoted to 2.5-3.0MPa; and E, carbonation is carried out continuously for 35-40min, the hot press board is moved away, the wood is taken out, and the carbonation process is finished. The technique of the wood deep carbonation has the advantages that the deep carbonation of the wood is achieved, so that occurrence of the situations of expansion or strain cracking of the wood in use is reduced.

The embodiment of the invention provides a method for detecting branch prediction and a processor, and the method comprises the steps: predicting a branch prediction result according to first branch information stored in a branch prediction buffer, the branch prediction result at least comprising a current fetch address; at the stage of fetching fingers from a cache according to the current fingerfetching address, if second branch information matched with the current finger fetching address is found in a cached instruction cache block, reading the matched second branch information, wherein second branch information is stored in the cached instruction cache block; and detecting whether the branch prediction is correct or not according to the matched second branch information. The embodiment of the invention can provide possibility for correcting the branch prediction error in advance in the fetch stage when the branch prediction error is found in the fetch stage based on the detectionresult whether the branch prediction is correct or not, so that the pipeline resource consumption and delay caused by the branch prediction error can be greatly reduced.