21results about How to "Automatically determine" patented technology

The invention provides a navigation method and device for a metro vehicle inspection robot in a multi-track scene and a readable storage medium, and aims to solve many problems of navigation of the inspection robot in the multi-track scene in the prior art. According to the method, firstly, a lifting platform template is created on a navigation map, parameters are configured, then a TOPO graph is created in combination with information such as the current position of a robot and the position of a target point, then an improved Dijkstra algorithm is used for generating a global navigation path with the shortest time consumption, then the global path is segmented to obtain sub-target points and related attributes, and finally, the target points are obtained. And finally, when the robot runs, the state of passing through the lifting platform is monitored and predicted in real time, and the robot is controlled to move. Through the steps, the lifting platform can be rapidly deployed, the task configuration process can be simplified, the optimal path can be autonomously planned online, the state of the lifting platform can be accurately controlled, the working efficiency and the operation flexibility of the robot are improved, and the inspection quality and the safe operation of the metro vehicle are effectively guaranteed.

The invention provides a super-division method based on a graph driving program, a super-division device based on the graph driving program, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: determining a target super-resolution parameter under the condition of determining to start image super-resolution processing based on a submission time interval of a final frame in computer equipment; based on the hardware operation information of the computer equipment, determining a target execution device used for executing image super-division processing in the computer equipment and a corresponding target super-division algorithm; the hardware operation information represents the rendering time consumption of the computer equipment, the occupation condition of a video memory and the use condition of a hardware acceleration unit; and performing image super-division processing on the submitted final frame based on the target super-division parameter, the target execution device and the target super-division algorithm to obtain a super-division frame.

The present application provides an image processing method, device and storage medium, comprising: acquiring a to-be-tested image of each to-be-tested object in a plurality of same to-be-tested objects, acquiring a definition difference value between a first target region of a first to-be-tested image and a second target region of a second to-be-tested image, acquiring a target parameter according to the definition difference value, and if the target parameter is greater than a target threshold, determining that the first target region and / or the second target region is an image blur region. The present application compares the definition difference value between the target regions at the same position in different to-be-tested images to determine the image blur region, automatically determines the image blur region, improves the identification efficiency of the image blur region, avoids image blur judgment errors caused by background color difference, improves the accuracy of image blur region determination, and the identified image blur region can be subsequently adjusted smoothly to achieve clear detection.

The invention discloses a broadband resource management method, device and system, electronic equipment and a storage medium, and relates to the technical field of data processing, and the main technical scheme comprises the following steps: judging whether an optical network unit bound with an optical splitter port is in an online state or not when it is determined that the optical splitter port is subjected to a plugging operation; if it is determined that the optical network unit is in the online state, obtaining a target broadband account bound with the optical network unit; and binding the target broadband account with the optical splitter port to obtain a first binding relationship. Compared with the prior art, under the condition that the optical splitter port is determined to be subjected to the plugging operation, if the optical network unit bound with the optical splitter port is in the online state, the target broadband account bound with the optical network unit is acquired, and the target broadband account is bound with the optical splitter port; the binding relation between the target broadband account and the optical splitter port is automatically determined, and the checking management efficiency of broadband resources is improved.

The invention provides a transport capacity resource scheduling method, device and system, electronic equipment and a storage medium. Relates to the technical field of computers. The method comprises the steps that a transport capacity resource scheduling request is received, a target transport line is determined according to a sub-line set corresponding to multiple pieces of logistics network information, and the target transport line comprises multiple logistics networks which are sequentially connected in series; matching a corresponding target routing line in the first transport capacity resource library; in response to the condition that the target routing line cannot be matched, matching target information in a second transport capacity resource library; and in response to the matched target information, generating scheduling information and scheduling the transport capacity resources of the target object. The problems of low transport capacity resource utilization rate and low scheduling efficiency caused by unreasonable transport capacity resource scheduling in related technologies can be solved.

The invention discloses a character color judgment method and device, equipment, a medium and a product. The method comprises the steps of obtaining a product image, a line width correlation coefficient and color judgment standard information of a to-be-judged product; determining character pixel information of characters in the product image according to the image pixel information of the product image; determining color chromatic values of characters in the product image according to the line width correlation coefficient and the character pixel information; and comparing the color chromaticity value with color judgment standard information, and determining a color judgment result of the to-be-judged product. The characters in the product image are automatically identified according to the image pixel information, and the line width correlation coefficient of the to-be-judged product is introduced to balance the influence of different character widths on the determination of the color chromatic value, so that the more accurate color chromatic value is obtained, the automatic determination of the laser etching character chromatic value is realized, and the accuracy of the laser etching character chromatic value is improved. And the accuracy of the color chromatic value is ensured.

The invention relates to the technical field of image processing, and provides an OCT image adaptive contrast enhancement method, and the method comprises the steps: obtaining an OCT image, normalizing the OCT image to a preset gray interval, and obtaining a normalized image; according to gray level distribution statistical information of the normalized image, a target gray level upper limit value used for eliminating an overexposure area in the OCT image and a target gray level lower limit value used for eliminating a background noise area in the OCT image are determined, an enhancement function based on a Sigmoid function is constructed, and a definition domain of the enhancement function is limited by the target gray level upper limit value and the target gray level lower limit value; the output value is used for representing the enhanced pixel gray scale; and acting the enhancement function on the normalized image pixel by pixel to generate an enhanced image. According to the method, while the middle gray contrast is stretched, a smooth Sigmoid curve is adopted, a definition domain is limited in an effective signal interval, dark part noise and bright part details are protected, and therefore the enhancement effect and practicability are both considered.

The invention discloses a video generation method and device, a storage medium and electronic equipment. Relates to the field of artificial intelligence, and the method comprises the steps: obtaining a target document which comprises information used for describing a to-be-generated target video; processing the target document through a sub-mirror generation model to obtain sub-mirror information of a plurality of video sub-mirrors; for each video sub-mirror, generating a sub-mirror image and a sub-mirror audio according to the sub-mirror information of the video sub-mirror; and generating a target video corresponding to the target document according to the sub-mirror images and the sub-mirror audios of the plurality of video sub-mirrors. Through the method and the device, the problem of low video generation efficiency due to dependence on manual generation of the video according to the document in related technologies is solved.

The invention provides a wireless network performance detection method and device and a computer readable storage medium. The method comprises the steps of obtaining a value of a to-be-measured parameter to obtain a first value; a value of a first environment parameter is obtained, a second value is obtained, and the correlation between the first environment parameter and the to-be-tested parameter is higher than a threshold value; whether the first value is abnormal or not is detected according to the value range of the to-be-detected parameter corresponding to the second value in the first time period, and selection of the first time period is determined according to the time when the first value is detected. The problem of poor anomaly detection accuracy of the network performance index in the prior art is at least solved.

The application discloses a path planning method and device, electronic equipment and storage medium. The method comprises the following steps: obtaining a to-be-transported task and road network information of a vehicle, and determining a transportation area of the to-be-transported task according to the to-be-transported task and the road network information; inputting the transportation area and the to-be-transported task into a path prediction model to obtain a plurality of predicted paths corresponding to the to-be-transported task and a plurality of confidence degrees of the predicted paths; determining a target predicted path according to the confidence degrees of the predicted paths, and associating the target predicted path with the to-be-transported task and returning to a user end. In the embodiment of the application, the to-be-transported task is analyzed through the road network information, the area of the selected path is reduced, the analysis of the data in the road network information is reduced, and the prediction accuracy is improved; the path corresponding to the to-be-transported task is predicted through the path prediction model, the target predicted path is screened out, the approval time is shortened, the transportation path is automatically determined, and the transportation efficiency is improved.

The invention provides an illegal video communication user determination method and device and electronic equipment, and relates to the technical field of communication, and the method comprises the steps: obtaining a user data set, communication confirmation flow and video communication flow; obtaining first ticket data corresponding to the user data set, second ticket data corresponding to the communication confirmation flow and third ticket data corresponding to the video communication flow; determining a target user set based on a ticket analysis result of the first ticket data and a ticket analysis result of the second ticket data, and determining model parameters of each calling user based on a ticket analysis result of the third ticket data; and determining an illegal video communication user set based on the model parameters of each calling user. According to the method and the device, the illegal video communication user is automatically determined, and the call ticket analysis results of the call ticket data corresponding to the user data set, the communication confirmation flow and the video communication flow of the video communication are adopted to determine, so that the accuracy of determining the illegal video communication user can be improved.

The invention provides a business processing method and device, electronic equipment and a computer readable storage medium, and can be applied to the technical fields of computer technology, big data technology, Internet of Things technology and data processing. The service processing method comprises: in response to a received service processing request, determining service information to be processed and processing end information according to a service identifier to be processed indicated by the service processing request, the service information to be processed comprising M service data identifiers and processing type identifiers respectively corresponding to the M service data identifiers, the processing end information comprises P processing end identifiers; in response to the permission of a processing end corresponding to the processing end identifier to execute processing corresponding to the processing type identifier, sending the service data identifier and the processing type identifier to the processing end corresponding to the processing end identifier; and in response to the received target business data from the processing end, processing the target business data to obtain a business processing result.

The invention discloses a data processing method and device, a storage medium and electronic equipment. Relates to the field of data processing, and the method comprises the steps: obtaining the cost information of a to-be-spread financing cost, and obtaining the target cost information, the target cost information comprising at least one of the following: the cost type of the financing cost, the financing type of a financing project to which the financing cost belongs, and the lending time of the financing project; obtaining a corresponding relationship between the multiple pieces of cost information and the multiple amortization calculation modes, and determining a target amortization calculation mode matched with the target cost information from the multiple amortization calculation modes based on the corresponding relationship; and calculating the sharing information of the financing cost based on the target sharing calculation mode. According to the invention, the technical problem that the labor cost is high due to the fact that the spreading calculation mode corresponding to the financing cost is manually determined to calculate the spreading information of the financing cost in the related technology is solved.

The application discloses a prompt sound statistical method, device, equipment and readable storage medium. The prompt sound statistical method comprises the following steps: obtaining square wave data corresponding to an envelope line of collected audio data; determining a time period corresponding to an a-th wave band in the square wave data; obtaining audio corresponding to the time period from the audio data to obtain a target audio segment; calculating the similarity between the target audio segment and each collected segment in the audio data; determining a first target peak point and a target threshold in a cross-correlation function; determining at least one second target peak point in the plurality of similarities; and determining the playing information of the prompt sound in the audio data according to the total number of the first target peak point and the second target peak point and the time interval between the first target peak point and the second target peak point. According to the embodiment of the application, the accuracy of determining the playing number or frequency of the prompt sound can be effectively improved, and the reliability of the test result of the device outputting the prompt sound is improved.

The invention provides an operation position determination method and apparatus, an electronic device and a storage medium. The method comprises the steps of determining a to-be-deployed target operation device and a device attribute of the target operation device; and determining a target operating area deployed by the target operating equipment from the plurality of operating areas based on the equipment attribute of the target operating equipment and the area attributes of the plurality of operating areas. The operation equipment contained in the operation area is determined through the positioning information acquired from the mobile terminal equipment of the user, the operation equipment is not required to have a positioning function, and the positioning of the user can be acquired so as to analyze the position of the operation equipment. According to the technical scheme, the region attributes of the multiple operation regions where the target operation equipment is to be put are determined, the operation regions are screened based on the equipment attributes of the target operation equipment and the region attributes of the multiple operation regions, the automatic determination process of the operation position is achieved, and the efficiency and accuracy of operation position determination are improved.

The application discloses a kind of continuous pelvic tilt posture under acetabular form evaluation method and system, belong to clinical evaluation technical field.Method includes: constructing pelvic three-dimensional model and femur three-dimensional model;Establish pelvic front plane anatomical reference coordinate system;Obtain the double hip axis of refined estimation;Get left and right two optimal acetabular opening planes, take the normal vector of left and right two optimal acetabular opening planes as the initial axis of corresponding side pelvic acetabulum;Construct the rigid body motion model of pelvic acetabular initial axis around the continuous rotation of double hip axis, calculate the change of acetabular axis direction under different pelvic tilt postures and corresponding acetabular anteversion angle, abduction angle;Establish acetabular abduction angle / anteversion angle curve under pelvic tilt, complete acetabular form evaluation.The application realizes the automatic calculation of acetabular space direction and accurate acetabular form evaluation, and lays a foundation for finding the most suitable patient acetabular prosthesis installation angle.

The present disclosure relates to a delay parameter determination method, a delay parameter determination device, a computer readable storage medium and an electronic device, and relates to the technical field of integrated circuits. The delay parameter determination method comprises: determining a setup time of a clock signal relative to a DQ data signal in a memory; dividing the clock signal into a plurality of clock sub-signals, and determining a target sampling delay of the plurality of clock sub-signals relative to the DQ data signal; and determining a delay parameter of the DQ data signal relative to the clock signal according to the target sampling delay and the setup time. The present disclosure provides a method for effectively sampling DQ data by clock sub-signals.

The invention provides a method for determining a line loss line of a distribution network low-voltage transformer area and related equipment, and relates to the technical field of power monitoring. The determination method comprises the following steps: acquiring a target sampling position corresponding to a target line in the low-voltage transformer area by adopting a binary search principle according to a low-voltage topological graph of the low-voltage transformer area; on the basis of the Kirchhoff's current law, according to the target current value at the target sampling position and the sum of the current values of the user electricity meters corresponding to the rear-section line at the target sampling position, whether line loss exists in the rear-section line or not is determined; if yes, taking the rear-section line as a target line, and if not, taking the front-section line at the target sampling position as the target line; and according to the re-determined target line, skipping to the step of obtaining a target sampling position corresponding to the target line in the low-voltage transformer area by adopting a binary search principle according to the low-voltage topological graph of the low-voltage transformer area until a target line loss line is obtained. According to the invention, the troubleshooting efficiency of the line loss line of the distribution network low-voltage transformer area can be greatly improved.

The present invention provides a method and device for determining a typesetting area based on comic translation, by presetting multiple groups of expansion step values ​​in different directions, the expansion step values ​​are used to progressively expand the translation area in the horizontal and / or vertical directions; based on the area progressive expansion method and each group of expansion step values, the initial translation area is expanded to obtain a candidate expansion area, and the area of ​​the candidate expansion area is calculated; the expansion step value with the largest expansion area is selected, and the candidate expansion area corresponding to the step value is used as the target translation typesetting area. The present invention can standardize typesetting standards, reduce the influence of subjective factors in the translation process, and realize automatic determination of the best drawing area by the machine; and reduce manual participation and save manpower.

The present invention proposes a method, device and readable storage medium for navigating a subway vehicle inspection robot in a multi-track scenario, aiming to solve many problems of inspection robot navigation in a multi-track scenario in the prior art. The method first creates a lifting platform template on a navigation map and configures parameters, then creates a TOPO map in combination with information such as the current position of the robot and the position of the target point, then uses an improved Dijkstra algorithm to generate a global navigation path with the shortest time consumption, then divides the global path to obtain sub-target points and related attributes, and finally monitors the state of the robot expected to pass through the lifting platform in real time while the robot is running and controls the movement of the robot. Through these steps, the present invention can quickly deploy the lifting platform, simplify the task configuration process, realize autonomous online planning of the optimal path, accurately control the state of the lifting platform, improve the work efficiency and operation flexibility of the robot, and effectively ensure the inspection quality and safe operation of subway vehicles.