Abstract: According to one embodiment, a method, computer system, and computer program product for container lifecycle management is provided. The embodiment may include registering a topology for a plurality of deployments in a container orchestration platform. The embodiment may include detecting a rolling update to a deployment of the plurality of deployments. The embodiment may include assuming ownership of at least one previous version pod of the deployment. The embodiment may include creating network routing rules for the at least one previous version pod. The embodiment may include routing network packets to the at least one previous version pod based on the created network routing rules.

Abstract: The present application provides a method and apparatus for evaluating the health state of a distribution transformer, and a medium and a program. In an embodiment, the method for evaluating the health state of a distribution transformer includes: extracting features from electric power parameters of a plurality of distribution transformers; clustering the plurality of distribution transformers into M subsets based on the extracted features, M being a natural number greater than 1 and less than a number of the distribution transformers; and respectively executing processing for each of the M subsets. In an embodiment, the processing includes determining a cluster center of the subset as a reference transformer for the subset; calculating the similarity between each of the distribution transformers in the subset and the reference transformer therein; and sorting the distribution transformers in the subset according to the calculated similarity.

Abstract: A method, system, and computer program product to aggregate code change requests for a continuous integration pipeline. The method may include receiving a plurality of code change requests (CCRs) for a software product that are to be processed by a continuous integration (CI) pipeline. The method may also include obtaining all functions of the software product tested by all testcases in a testcase set. The method may also include selecting a plurality of groups of testcases from the testcase set, each group of the plurality of groups of testcases corresponding to a CCR from the plurality of CCRs. The method may also include identifying at least two groups of testcases from the plurality of groups of testcases without overlapping code. The method may also include aggregating each CCR that corresponds to the at least two groups of testcases into a single CCR group.

Abstract: A disk-drive suspension includes a load beam, a flexure laid on top of the load beam, a first terminal provided on the flexure, and a first bump arranged on a top surface of the first terminal. The first terminal includes a narrow part having a first width in a first direction and including a center of the first terminal, and a wide part having a second width in the first direction greater than the first width. The wide part and the narrow part are arranged in a second direction intersecting the first direction. The first bump has, at the center, a first height from a bottom surface of the first terminal. The first height is greater than the first width.

Abstract: A folding metal back plate includes a first plate portion, a second plate portion, and a folding plate portion connected to the first plate portion and the second plate portion. The folding plate portion has two first folding areas respectively disposed close to the first plate portion and the second plate portion, and a second folding area formed between the two first folding areas. The first folding area has multiple rows of spaced first openings. The second folding area has multiple rows of spaced second openings. Each first folding area constitutes a first unfolding length. The second folding area constitutes a second unfolding length. The first unfolding length of the first folding area is 0.2 to 0.5 times the second unfolding length of the second folding area.

Abstract: The present disclosure relates to a power management method and apparatus, a computing device, a medium, and a product. The power management method includes a monitoring step, a prediction step, an error calculation step and an adjustment step including adjusting power supply plan or a power demand of a user when at least one of a first error is greater than a first predetermined threshold or a second error is greater than a second predetermined threshold.

Abstract: Provided are a method, apparatus and system for storing fault data, an embodiment of the fault data storage method including: acquiring fault data of a target electrical device; sending a consensus request for the fault data, usable to request that consensus personnel who use the consensus client reach a consensus for the reason why the target electrical device is faulty, to at least one consensus client; respectively receiving a consensus result from each consensus client, the consensus result being formed by the consensus client according to the triggering of the consensus personnel; determining, according to each received consensus result, whether the reason for why the target electrical device is faulty is due to device quality; generating, upon the reason for why the target electrical device is faulty being due to device quality, a first data block which contains the fault data; and storing the first data block into a blockchain.

Abstract: A metal backplate is composed of two parallel plain parts and a flexible part lying two plain parts, and the flexible part has a first surface and a second surface deployed underneath the first surface. The flexible part is etched or etched partially with a plurality of curved first openings which form a first array in a staggered arrangement in order to weaken the flexible part B with rigidity property to be one with bending-resilience property; at the same time, which form in staggered rows or in alignments on the upside and the reverse side of the first surface in order to decrease the unidirectional stress concentration and the warpage problem of the display panel.

Abstract: An abnormal electricity use method is disclosed. An embodiment includes: classifying a transformer into a public transformer or a dedicated transformer, the public transformer corresponding to a plurality of first users; the dedicated transformer corresponding to one second user; recognizing a first abnormal user from the first users based upon the smart meter reading of the public transformer and the smart meter reading of the first user; or recognizing the first abnormal user from the first users based upon the smart meter reading of the first user; and recognizing a second abnormal user from the second user based upon the smart meter reading of the second user or the smart meter reading of the dedicated transformer. Respective personalized anomaly recognition policies are used for the public transformer having a plurality of first users and the dedicated transformer having only one second user, to improve the recognition accuracy and speed.

Abstract: The present disclosure relates to a power management method and apparatus, a computing device, a medium, and a product. The power management method includes a monitoring step, a prediction step, an error calculation step and an adjustment step including adjusting power supply plan or a power demand of a user when at least one of a first error is greater than a first predetermined threshold or a second error is greater than a second predetermined threshold.

Abstract: A power load prediction method, apparatus, and storage medium are disclosed. The method includes: acquiring historical power load data of a one-dimensional time series satisfying a set time length, composed of data corresponding to each time point; converting the historical power load data of a one-dimensional time series into a three-dimensional matrix composed of set time scales, the dads included in each time scale and the time points included in each day; based upon the size of each tiny e scale, dividing the historical power load data of the three-dimensional matrix into at least one operating mode; in each operating mode, using the time scale as a unit, based upon the historical power load data in each tune scale, deriving the value band of each day of power load data of the next time scale to be predicted in the operating mode. An embodiment can improve power load prediction accuracy.

Abstract: A method includes: obtaining a first measurement data set of a plurality of transformers configured with power quality monitoring systems; obtaining a second measurement data set of a plurality of transformers configured with no power quality monitoring systems; respectively clustering the plurality of transformers configured with power quality monitoring systems and the plurality of transformers configured with no power quality monitoring systems based upon values of common data types in the first measurement set and the second measurement data set to respectively obtain r groups; establishing a similar mapping relation between the groups; and assessing states of health of the transformers in each group configured with no power quality monitoring systems using the first measurement data set of the transformers in the group having the similar mapping relation with said group, thereby implementing assessing the states of health of the transformers without power quality monitoring systems.

Abstract: Disclosed is a method for predicting collision severity, including: establishing a first learning model, and inputting vehicle data and collision accident scene feature data into the first learning model; obtaining a predicted collision acceleration curve outputted by the first learning model, the predicted collision acceleration curve being established based on a plane rectangular coordinate system; establishing a second learning model, and inputting the predicted collision acceleration curve, the occupant feature data and the restraint system feature data into the second learning model; obtaining a plurality of predicted collision kinematics and dynamics curves of human body parts outputted by the second learning model; generating a collision severity parameter according to the plurality of predicted collision kinematics and dynamics curves of the human body parts, the collision severity parameter being configured to evaluate the collision severity.

Abstract: Disclosed are a power grid user classification method and device, and a computer-readable storage medium. The method includes: determining user power consumption data of each time period within a time interval, the user power consumption data of each time period including user power consumption data of each time granularity within the time period; generating a power consumption pattern image of a user within the time interval based upon the user power consumption data of each time period within the time interval; and classifying the user based upon an image recognition result of the power consumption pattern image. A user is classified by performing image recognition on a power consumption pattern image, and file information does not need to be manually inputted, thereby reducing a manual workload. In addition, a completion defect caused by incomplete file information is avoided, thereby improving the accuracy of classification.

Abstract: Embodiments of the present disclosure relate to a method, system and computer program product for offloading a workload between computing environments. According to the method, a workload of a target function of a service provisioned in a first computing environment is determined. A processing capacity of the service available for the target function in the first computing environment is determined. In accordance with a determination that the workload exceeds the processing capacity, at least one incoming request for the target function is caused to be routed to a target instance of the target function, the target instance of the target function being provisioned in a second computing environment different from the first computing environment.

Abstract: Embodiments of the present disclosure relate to a method, system and computer program product for offloading a workload between computing environments. According to the method, a workload of a target function of a service provisioned in a first computing environment is determined. A processing capacity of the service available for the target function in the first computing environment is determined. In accordance with a determination that the workload exceeds the processing capacity, at least one incoming request for the target function is caused to be routed to a target instance of the target function, the target instance of the target function being provisioned in a second computing environment different from the first computing environment.

Abstract: The present application provides a method and apparatus for evaluating the health state of a distribution transformer, and a medium and a program. In an embodiment, the method for evaluating the health state of a distribution transformer includes: extracting features from electric power parameters of a plurality of distribution transformers; clustering the plurality of distribution transformers into M subsets based on the extracted features, M being a natural number greater than 1 and less than a number of the distribution transformers; and respectively executing processing for each of the M subsets. In an embodiment, the processing includes determining a cluster center of the subset as a reference transformer for the subset; calculating the similarity between each of the distribution transformers in the subset and the reference transformer therein; and sorting the distribution transformers in the subset according to the calculated similarity.

Abstract: Routing containerized services requests on a serverless platform can include responding to receiving on the serverless platform a request for a containerized service and detecting a potential request failure. The response to the potential request failure can include searching a database that maps version-specific requests to a plurality of containers that are configured and managed by the serverless platform. The routing can include redirecting the request to a container containing a prior version of the containerized service requested in response to determining that the prior version of the containerized service maps to a version-specific request that matches the request received.

Abstract: The invention provides a power tool, which comprises a motor, at least two battery packs supplying power to the motor and arranged in parallel. The power tool also comprises a relay control circuit used for connecting the motor and the battery packs, and the relay control circuit is provided with a controller, and a plurality of relay switch circuits connected with the controller. The controller is used for detecting the electric energy and/or an user state of battery packs and generates battery pack selection signals, the relay switch circuits and the battery packs are arranged one-to-one, the relay switch circuits receive the battery pack selection signals and control turning on/turning off of relays switches therein, and further switch the battery packs in the on state, to make only one battery pack in the on state at the same time.

Abstract: The invention provides a garden tool, which comprises a traveling assembly, a travel-driven assembly and a control assembly. The traveling assembly comprises front wheel and rear wheel. The travel-driven assembly comprises a front-drive mechanism for driving the front wheel and a rear-drive mechanism for driving the rear wheels. The control assembly controls the work of the front-drive mechanism and the rear-drive mechanism, so as to enable the front wheel and the rear wheel to respectively move forward or backward. Compared with the prior art, the garden tool drives the front wheels and the rear wheels to move forward or backward respectively through the front-drive mechanism and the rear-drive mechanism, and thus not only the garden tool automatically walks backward, but also the traveling assembly can be ensured to obtain sufficient power, thereby the garden tool is prevented from slipping when climbing and retreating.