40results about How to "Make sure the result is accurate" patented technology

The invention provides a defrosting processing method and defrosting control device for a refrigerator. The refrigerator comprises a compressor and an evaporator. The defrosting processing method for the refrigerator comprises the steps of detecting the operation time of the compressor, the inlet temperature of the evaporator and the door opening and closing state of the refrigerator; according to the operation time of the compressor, the inlet temperature of the evaporator and the door opening and closing state of the refrigerator, determining whether defrosting processing is needed or not. According to the technical scheme, estimation precision of the amount of frosting on the surface of the evaporator is improved, reasonability of the defrosting process is improved, the problem that the amount of frosting on the surface of the evaporator is large due to the fact that the defrosting process is started earlier or later is avoided, and the using effect of the refrigerator is ensured.

The invention relates to an image classification method and device, a computer device and a storage medium. The method comprises the steps of obtaining a to-be-classified image; classifying the to-be-classified image by adopting a preset classification model to obtain a category to which a plurality of different attributes of the to-be-classified image belong, wherein the image to be classified is an image subjected to geometric correction, and the classification model is a model for performing multi-task processing on to-be-classified images by adopting an attention mechanism. By adopting the method, the image classification accuracy can be improved.

The invention discloses a height control method of a tower crane lifting suspension hook, an apparatus and a system thereof, and a tower crane to improve the height determination accuracy of the lifting suspension hook in order to improve the height spacing accuracy of the lifting suspension hook and improve the lifting work safety of the tower crane. The control method comprises the following steps: acquiring the weight of a suspended load, the operation position of a radius changing dolly and the detected height of the lifting suspension hook; obtaining the sagging rope length of a lifting steel wire rope between a steel wire rope starting bearer point and a steel wire rope end bearer point on a lifting jib according to the weight of suspended load and the operation position of the radius changing dolly; and obtaining a real height of the lifting suspension hook according to the sagging rope length of the lifting steel wire rope, the detected height of the lifting suspension hook and a corresponding relation between each of the sagging rope length of the lifting steel wire rope and the detected height of the lifting suspension hook and the real height of the lifting suspension hook.

The invention provides an image processing method and device, and computer equipment, relates to the technical field of images, and solves the relatively low fineness of an image matting processing result. The method comprises the following steps: segmenting a to-be-processed image to obtain an initial foreground region, and detecting a target body in the initial foreground region through a body posture estimation algorithm to obtain body key regions; dividing the to-be-processed image based on a pixel distance value between the body key regions to obtain a first region of which the pixel distance value is within a first preset distance threshold and a second region of which the pixel distance value is within a second preset distance threshold; determining a region, other than the first region, in an overall region formed by the second region and the initial foreground region as an unknown region, and determining the first region as a final foreground region; and based on the final foreground region and the unknown region, performing image matting processing on the to-be-processed image to obtain an image matting processing result.

The invention relates to a method and device for determining the pickup quality. The method comprises the following steps of acquiring a voice signal by using a microphone or a microphone array; determining energy of the voice signal acquired by the microphone or the microphone array in a set frequency range; and determining the pickup quality of the microphone or the microphone array at least according to the energy. Through the method for determining the pickup quality provided by each embodiment of the invention, automatic acquisition of the pickup quality of microphone equipment can be realized, and conversion from manual acquisition to machine based acquisition is realized. In addition, the pickup quality of the microphone equipment is determined based on the energy of the voice signal, so that a more accurate determination result can be obtained.

The embodiment of the invention discloses semiconductor process equipment and a processing method of a focusing ring and aims to solve the problem that the etching inclination effect of the edge of awafer cannot be eliminated in the prior art. The semiconductor process equipment comprises a process chamber and a base located in the process chamber; the base is used for bearing a wafer; a focusingring is arranged on the base; and when the base bears the wafer, the focusing ring surrounds the outer side of the wafer; the focusing ring is provided with an air flow channel, and the air flow channel is used for guiding process gas on the surface of the wafer to the outer side of the base so as to adjust the air flow field of the edge part of the wafer and counteract the etching inclination effect of an electromagnetic field on the edge part. The equipment can effectively eliminate the etching inclination effect of the edge area in the wafer processing process.

The invention discloses a positioning device, a viewfinder size equipment assembly and a method thereof. The positioning device includes: a positioning device base, one end of which is provided with a mounting groove, and the mounting groove is used to place an observation plate; a movable mounting bracket is arranged on the positioning device base for placing a calibration plate, and the movable mounting bracket can be relatively The long side direction of the positioning device base is moved to adjust the distance between it and the positioning device base; wherein, the projections of the observation plate and the calibration plate coincide, so that the operator observes the overlapped image of the observation plate and the calibration plate from the viewfinder frame of the camera, so that The size of the observation window in the observation plate displayed in the viewfinder of the camera is determined by the scale on the calibration plate. The positioning device of the present invention can determine the imaging size of the camera by determining the size of the observation window, and the determination result is accurate. Compared with the prior art, it has the advantages of high precision, simple structure, and convenient operation.

The invention discloses rotating speed control method and device, a storage medium and an air conditioner. The method comprises the following steps of determining a current liquid level height of a water tank in a water splashing motor; determining a theoretical target rotating speed of the water splashing motor according to the current liquid level height; and determining a current target rotating speed of the water splashing motor based on the theoretical target rotating speed and in combination with a current environment temperature or a current evaporator temperature of an air conditionerprovided with the water splashing, and controlling the operation of the water splashing motor according to the current target rotating speed. According to the scheme, the problem that the control precision of the water splashing motor is low can be solved, and the effect of improving the control precision of the water splashing motor is achieved.

The invention discloses a height control method of a tower crane lifting suspension hook, an apparatus and a system thereof, and a tower crane to improve the height determination accuracy of the lifting suspension hook in order to improve the height spacing accuracy of the lifting suspension hook and improve the lifting work safety of the tower crane. The control method comprises the following steps: acquiring the weight of a suspended load, the operation position of a radius changing dolly and the detected height of the lifting suspension hook; obtaining the sagging rope length of a lifting steel wire rope between a steel wire rope starting bearer point and a steel wire rope end bearer point on a lifting jib according to the weight of suspended load and the operation position of the radius changing dolly; and obtaining a real height of the lifting suspension hook according to the sagging rope length of the lifting steel wire rope, the detected height of the lifting suspension hook and a corresponding relation between each of the sagging rope length of the lifting steel wire rope and the detected height of the lifting suspension hook and the real height of the lifting suspension hook.

The present application relates to an image classification method, device, computer equipment and storage medium. The method includes: acquiring an image to be classified; classifying the image to be classified by using a preset classification model to obtain the categories to which a plurality of different attributes of the image to be classified belong; the image to be classified is geometrically corrected image; the classification model adopts attention mechanism for the image to be classified and performs multi-task processing. Using this method can improve the accuracy of image classification.

The embodiment of the invention discloses a processing method and processing equipment. The method comprises the following steps of: receiving N uplink reference signal received power (UL RSRP) values from a user terminal in a multi-sector cell, wherein the N UL RSRP values correspond to N sectors forming the multi-sector cell respectively, coverage areas of the N different sectors are crossed with one another to form M crossed coverage areas, N is an integer greater than 1, and M is the integer greater than 0 and less than or equal to N; acquiring a maximum value PRX and a UL RSRP reference value from the N UL RSRP, wherein the RPX is the UL RSRP value of the sector X in the N sectors; and determining a user group with a user corresponding to the user terminal according to relationships between the maximum value PRXs and the RSRP reference values. The embodiment of the invention can reduce the complexity of an algorithm required by the space division multiplexing (SDM) realization of the user in the multi-sector cell, and ensure the communication quality.

The invention discloses a time series data processing method and device, the method comprising: acquiring time series data, each data in the time series is a value of a time point; sequentially calculating the fluctuation energy E(n )=V(n)‑V(n‑1), where E(n) is the fluctuation energy at the current time point, V(n) is the value at the current time point, and V(n‑1) is the previous time point The value of ; loop through each time point in the time series, determine the state of the time point according to the fluctuation energy of each time point, the state includes: a temporary state and a stable state; the stable state of the time point As the state mode at the time point; the state mode includes: a steady mode, a rising mode, and a falling mode. By using the invention, the segmentation of time series data and the identification of state patterns can be realized simply and accurately.

The invention provides a user account determination method and apparatus, an information pushing method and apparatus, and an electronic device, and relates to the field of big data and artificial intelligence. The user account determination method comprises the steps: acquiring a network topological graph, wherein each node in the network topological graph corresponds to each account, and a preset association relationship exists between the accounts corresponding to edge representation between the two nodes; a community division step of dividing the nodes into a plurality of virtual communities based on the modularity of the network topological graph; a node reconstruction step: aggregating each virtual community obtained by division into a node to obtain an updated network topological graph; a first iteration step of iterating the virtual community division step and the node reconstruction step based on the updated network topological graph until the network topological graphs beforeand after updating are consistent; and an account identification step: determining the accounts corresponding to the nodes in the same virtual community as the accounts of the same user. According tothe invention, the accounts belonging to the same user can be efficiently and accurately determined.

Embodiments of the present invention provide a packet loss processing method, a destination network node device, and a mobile transmission network system. The method includes: the destination network node receives the data sent by the source network node through at least two transmission quality measurement protocol links, and the business priorities of the at least two transmission quality measurement protocol links are different; when at least two transmission quality measurement protocol links are detected When packet loss occurs on the link, the cause of the packet loss is determined according to the packet loss rate and service priority on at least two transmission quality measurement protocol links. The technical solution of the embodiment of the present invention has higher efficiency in distinguishing packet loss due to bit errors and packet loss due to congestion.

The invention discloses a method and a system for determining orientation of the strongest field sources. The method includes computing Euler angular data according to three-axis acceleration data and three-axis angular speed data obtained by a high-voltage device at detection locations; acquiring electric field strength values corresponding to the Euler angular data measured by the high-voltage detection device at the detection locations and determining Euler angular values corresponding to the maximum electric field strength values; determining the orientation of the strongest field sources according to the Euler angular values corresponding to the maximum electric field strength values of at least three different detection locations. The method and the system for determining the orientation of the strongest field sources have the advantages that accurate determination results can be obtained by the aid of the method, staffs can be assisted in determining the orientation of the maximum electric field strength when the staffs are positioned in work places with multiple field sources, and unintended high-voltage electric shock accidents can be prevented; the system for determining the orientation of the strongest field sources is simple in structure and is portable, the data can be acquired and processed in real time, and accordingly the orientation of the strongest field sources can be ultimately determined.

The purpose of this application is to provide a method and device for determining the owner of a wireless hotspot group. Compared with the prior art, the present application obtains the target hotspot group to be processed, wherein the target hotspot group includes one or more wireless hotspots with the same or similar SSID, and determines the reference corresponding to the target hotspot group A hotspot group, wherein the reference hotspot group includes one or more wireless hotspots with the same or similar SSID, at least one wireless hotspot in the reference hotspot group matches the wireless hotspot in the target hotspot group, further , determining the owner of the target hotspot group according to the reference hotspot group, this method of determining the owner of the target hotspot group through the reference hotspot group can be more convenient and quicker, so that resource overhead can be better reduced.