222results about How to "Reduce exception" patented technology

The invention discloses a control method for automatic casting of a plug-in continuous casting machine. The control method includes that firstly, an automatic-casting control system judges conditions of automatic casting; if the conditions are met simultaneously, a fixed value is automatically given by a plate blank casting length counter in the automatic-casting control system; an initial casting speed is set; when molten steel in a tundish reaches a normal height, manual judgment is performed and a stopper is opened, casting is started, an operator controls the height of the stopper according to steel flow conditions and center-control countdown time to enable the molten steel in a crystallizer to smoothly rise; according to different heights detected based on liquid level of the crystallizer, the automatic-casting control system gives different openings to a sliding plate of a liquid level control system, and simultaneously sends instructions to an argon-blowing integrated system to invoke three argon modes. Argon control in each step of the casting process is performed in a linkage manner, and casting success rate and stability in casting control are guaranteed, so that quality of casting blanks during casting is improved, and various casting accidents are avoided.

A ceiling fan including a connecting fitting fixed to a ceiling, and a ceiling fan main body suspended from the connecting fitting via a suspension device. The ceiling fan main body includes a motor for rotating a plurality of blades attached in a horizontal direction, a shaft protruding to an upper part of the motor, and a joint portion fixed on an upper part of the shaft. The suspension device includes a first connecting portion capable of being movably mounted on the connecting fitting, and a second connecting portion located in a lower part of the first connecting portion. The joint portion is movably mounted on the second connecting portion.

A method for fabricating a semiconductor device with a bulb shaped recess gate pattern includes selectively etching a first portion of a substrate to form a first recess; forming a spacer on sidewalls of the first recess; performing an isotropic etching process on a second portion of the substrate beneath the first recess to form a second recess, the second recess being wider and more rounded than the first recess; removing the spacer; and forming a gate pattern having a first portion buried into the first and second recesses and a second portion projecting over the substrate.

The invention discloses a bearing temperature prediction and alarm diagnosis method based on an LSTM model. Firstly, a bearing temperature prediction model is generated, model input data is obtained according to the real-time monitoring temperature, and then target shaft position temperature data is predicted; and finally, the running state of the bearing is judged according to a temperature alarmmechanism and an alarm result is output. According to the invention, temperature prediction of the target shaft position is carried out through the auxiliary shaft position temperature value; a long-short-term memory network model is adopted; the bearing fault alarm system based on the temperature sensor is prevented from being disturbed by temperature jump and temperature keeping unchanged in the using process, false alarm and missing alarm are avoided, the incidence relation in the time sequence can be analyzed, the trend of time sequence data is predicted, and meanwhile the defect that other neural networks cannot be predicted for a long time is overcome. And temperature alarm can be carried out more accurately.

A method of determining a state-of-charge for a battery is provided. A startup state-of-charge of the battery is determined as a function of a present open circuit voltage measurement for a present ignition startup, at least one open circuit voltage observation of a previous ignition startup, and a current draw integration over a time period from a previous ignition startup event to a present ignition startup event. A run state-of-charge change of the battery is determined for an ignition key-on operation. The run state-of-charge change comprises a difference between the present open circuit voltage measurement and the at least one previous open circuit voltage observation, and is determined in response to of a current draw integration over a respective period of time. The state-of-charge of the battery is calculated based on a function of the startup state-of-charge and the run state-of-charge change of the battery.

Stacking more than one electric machine module (i.e., electromagnetic electric motor or generator system) with all stator bodies commonly attached and all moving bodies commonly attached increases the overall power of the stack according to the sum of power rating of each module in the stack. A keying object means comprises complementary keys on the stator and rotor bodies that allow easy mating alignment of at least two autonomous electric machine modules in the stack and preserve the mechanical integrity so all modules in the stack move or act as one large electric machine. Furthermore as an integral component in the manufacturing process of the electric machine module, the keying object means serves as an alignment mechanism for precision manufacture of the module chassis without precision methods, such as precision machining, or precision materials, or precision pieces, such as castings.

The invention discloses a data processing method and device, a server and a storage medium, the scheme of the invention is applied to a business service platform, the business service platform runs amaster process and at least one slave process. The method comprises the following steps: obtaining a data processing request sent by a client; under the condition that the data processing request comprises a reading request, determining a first data identifier of data requested to be read by the reading request; if the first data identifier belongs to a data identifier in a cached non-synchronousrecord, forwarding the read request to the master process for processing, the non-synchronous record recording a data identifier corresponding to data which is not synchronized from the master processto the slave process; and if the first data identifier does not belong to the data identifier in the non-synchronous record, forwarding the read request to the slave process for processing. Accordingto the scheme, the data request processing efficiency can be improved, Meanwhile, the situation of data reading errors or abnormalities caused by inconsistency of the master process data and the slave process data can be reduced.

The embodiment of the invention provides a touch display panel, a touch display device and an abnormal display processing method, and relates to the technical field of touch display. Through the touch display panel, the touch display device and the abnormal display processing method, the probability that image display is abnormal caused by static shock can be reduced. The touch display panel comprises a scanning line, a touch signal line and a data line. The touch signal line is further used as a common electrode line. The touch display panel further comprises a detection unit and a reset unit, wherein the detection unit is used for outputting the same preset pulse signal to the scanning line, the touch signal line and the data line during the testing period; the reset unit is used for receiving a feedback signal on the touch signal line during the testing period, and outputting reset information when the feedback signal meets a preset condition. The touch display panel, the touch display device and the abnormal display processing method are mainly used for processing abnormal display caused by static shock.

In an invariant relation analysis, a capability to detect abnormalities is improved and erroneous abnormality reports are reduced. A system analysis device (100) includes a correlation model generation unit (130) and a learning reliability calculation unit (140). The correlation model generation unit (130) generates, based on time series of a plurality of metrics in a system in a learning period, a correlation model that includes a correlation between metrics. The learning reliability calculation unit (140) calculates learning reliability of the correlation, based on a behavior of a time series of each of metrics relevant to the correlation included in the correlation model, in the learning period.

The invention discloses a method and a system for upgrading WIFI equipment. The method comprises the steps of: downloading an upgrade file of the WIFI equipment from a server; storing the upgrade file into a backup partition of the WIFI equipment, and upgrading the WIFI equipment; after completing upgrading, restarting the upgraded WIFI equipment from the backup partition; and when upgrading is interrupted by accident, restarting the WIFI equipment from a current partition. In the upgrading process of the WIFI equipment, if an accident occurs, the WIFI equipment is restarted from the current partition, so that the risk caused by abnormity in the upgrading process is reduced; the WIFI equipment directly downloads the upgrade file from the server without pushing the upgrade file of the WIFI equipment by a set top box, a network topology of a WIFI system is more reasonable and various WIFI product forms can be met; uniform and automatic upgrading of the WIFI equipment is implemented, and the method and the system are not limited to the set top box and are beneficial to development of WIFI software; and the upgrading process does not influence a user to use a network, so that user experience is improved.

The embodiment of the invention provides a page content management method and device. The method comprises the following steps: obtaining to-be-cached page content of an access request page; Determining first to-be-cached page contents and second to-be-cached page contents except the first to-be-cached page contents from the to-be-cached page contents according to a preset storage list; And storing the first to-be-cached page content in a first storage area, and storing the to-be-cached page content in a second storage area. By adopting the embodiment of the invention, not only can cookie abuse be avoided, but also the state can be prevented from being oversaturated, so that the page performance can be improved, the loss of user bandwidth can be reduced, and the probability of page abnormity can be reduced.

The invention relates to the field of cloud monitoring, in particular to abnormal monitoring achieved by monitoring user behaviors, and discloses a monitoring method and device of an application system, equipment and a storage medium, the method comprises the steps of extracting feature data of the application system, wherein the feature data comprise historical user behavior data and current userbehavior data; based on a support vector machine algorithm, performing model training according to the historical user behavior data to establish a behavior prediction model; inputting the current user behavior data into the behavior prediction model to output a prediction value corresponding to the next moment; and determining the abnormal condition of the application system according to the predicted value and the user behavior data at the next moment. Therefore, the problem of the application system can be timely discovered, so that the application system can be timely improved by the subsequent technicians according to the abnormal condition, and the abnormal condition is reduced.

Methods are provided for the automated detection, characterization, and selection of micro-objects in a microfluidic device. In addition, methods are provided for grouping detected micro-objects into subgroups that share the same characteristics and, optionally, repositioning micro-objects in a selected sub-population within the microfluidic device. For example, micro-objects in a selected sub-population can be moved into sequestration pens. The methods also provide for visual displays of the micro-object characteristics, such as two- or three-dimensional graphs, and for user-based definition and/or selection of sub-populations of the detected micro-objects. In addition, non-transitory computer-readable medium in which a program is stored and systems for carrying out any of the disclosed methods are provided.

The application relates to a train bearing fault early warning method, device and system and a storage medium. According to the train bearing fault early warning method, axle temperature data, collected by a ground system, of a train are calculated; calculated characteristic data are inputted into an early warning model to obtain an early warning result, wherein the early warning model is a grading model that is established by selecting data of a period of time before the bearing fault occurrence moment and based on historical shaft temperature data; and the feature data are compared with eachthreshold in the early warning model to obtain a corresponding early warning result. On the basis of the bearing fault grading early warning mode, the historical axle temperature data of a train canbe effectively utilized; and early warning is carried out at the early stage of bearing abnormity to discover the abnormity and process the abnormity early, so that the occurrence of the bearing faultis prevented. Meanwhile, the normal state of the bearing is ensured; the abnormal occurrence in the driving process can be reduced; the normal driving is ensured; and the line congestion caused by accidents caused by vehicle bearings is reduced.

The invention discloses a method for cutting a silicon wafer through a low-particle electroplating gold wire. The method includes the first step of bar adhesion, the second step of wire cutting, the third step of glue disengaging, the fourth step of wafer inserting, the fifth step of cleaning and the sixth step of verifying. According to the method, the silicon wafer is cut through the low-particle electroplating gold wire with a particle height of 6 microns to 12 microns; meanwhile, an existing production process is improved, the linear speed in the wire cutting step is increased, the steel wire feed and return distance is increased, the cooling temperature of cooling liquid is lowered; by means of the method, the abnormity, caused by the particle vibration amplitude generated by electroplating gold wire swinging, of the surface of the silicon wafer can be reduced, the cutting capacity of the low-particle electroplating gold wire can be reduced, it is ensured that the yield of the silicon wafer cut by the low-particle electroplating gold wire and the yield of the silicon wafer cut by an intermediate-particle electroplating gold wire are located at the same level, and the aims of increasing the silicon wafer yield, ensuring the high production efficiency and increasing the economic benefits are achieved.

The invention relates to the technical field of mask production equipment, and discloses a semi-automatic N95 mask production line. The production line comprises a filming machine and a mask earband welding machine that are arranged separately, wherein the filming machine comprises a discharging device and a filming machine main body; the mask earband welding machine comprises a first frame, a welding station, a welding assembly, an earband clamping assembly, an earband conveying and cutting mechanism arranged on the first frame, and a first support frame; the welding station can be rotatablyarranged on one side of the earband conveying and cutting mechanism, the welding assembly is arranged on the first support frame corresponding to the welding station, and the earband clamping assemblycan be lifted corresponding to the earband conveying and cutting mechanism and can be rotatably arranged on the first support frame. The semi-automatic N95 mask production line provided by the invention can reduce the difficulty of debugging, reduce abnormalities during production, facilitate the handling of abnormalities, accurately control the length of the earband, ensure product quality, andimprove production efficiency.