26 results about "Group operation" patented technology

According to the present invention, when multiple groups each having multiple mobile objects are used to carry out activities such as exploration, inspection, and investigation, these activities can be carried out more safely or efficiently. [Solution] A control system for controlling the operations of multiple groups including at least a first group having multiple moving bodies and a second group having multiple other moving bodies, the control system comprises an activity condition acquisition unit that acquires information regarding the activity conditions of the multiple moving bodies, a group operation determination unit that makes decisions regarding at least one of the group organization, assigned operations, assigned areas, movement routes, and formations for each of the multiple groups based on the information acquired by the activity condition acquisition unit, and a group operation control unit that controls at least one of the group organization, execution of assigned operations, execution of operations in the assigned areas, movement routes, and formations for the multiple groups depending on the decisions made by the group operation determination unit.

The invention discloses a media content recommendation method and device, a storage medium and electronic equipment, and belongs to the technical field of artificial intelligence, and the method comprises the steps: displaying target media content and a media content label on a page of a first account; a plurality of recommendation objects including at least one to-be-recommended account, the recommendation degree corresponding to each to-be-recommended account and at least one corresponding account tag are displayed, and group operation behavior data of a group corresponding to each to-be-recommended account on target media content meet preset group operation behavior requirements. Each account in the group has the same target account tag as the corresponding to-be-recommended account; under the condition that a selection operation is received, determining the selected recommendation object as a second account, and recommending the target media content to the second account; and obtaining operation behavior information of the second account for the target media content, and sending the target virtual item to the first account under the condition that the operation behavior information meets a first preset requirement. According to the embodiment, the recommendation accuracy is improved.

The application discloses a kind of distributed new energy collaborative control method and system, method includes: according to the pre-set environmental state data subsequence, using preset sequence update strategy to update power generation data subsequence set, obtain target power generation data subsequence set;Determine the power generation change of a certain target power generation data subsequence Synergy degree, and according to a certain power generation change Synergy degree judges whether the collaborative state of each new energy power generation unit is abnormal at current time;If collaborative state is abnormal, then generate a certain collaborative instruction based on preset collaborative optimization strategy, and according to a certain collaborative instruction to each new energy power generation unit corresponding to a certain target power generation data subsequence is controlled.Can be identified in distributed new energy power generation unit, due to local environmental mutation or equipment failure causes group operation state to lose coordination, and on this basis, collaborative control strategy is implemented, to improve energy utilization efficiency.

This application discloses a method and system for dynamic automatic grouping of heterogeneous resource instances in a multi-cloud environment, including: configuring automatic grouping rules for instance groups; obtaining attribute information and topology relationship information of different types of heterogeneous resource instances from multiple cloud platforms; matching the automatic grouping rules according to the attribute information of the heterogeneous resource instances to be grouped, generating a grouping operation including a topology snapshot; propagating the grouping operation and topology change operation as conflict-free replication data type operations among multiple management nodes, where conflict-free replication data type refers to a distributed data type that satisfies the commutative, associative, and idempotent laws; merging the received conflict-free replication data type operations at each management node, and dynamically updating the membership relationship of the instance group. This application can propagate asynchronously among multiple management nodes, and consistent merging results can be obtained regardless of the propagation order and repeated reception, without the need to execute additional rollback logic, thus eliminating single points of failure and transaction coordination bottlenecks.

An autonomous moving device (100) comprises: a first cart holding part (142) that is inclined downward toward the center from the left and the right; a second cart holding part (143) that is inclined downward toward the center from the front and the rear; and a first sliding part (141) for connecting the cart by raising the first cart holding part (142) and the second cart holding part (143).

[Problem] To more safely or more efficiently perform activity purposes when activities for these purposes of search, inspection, investigation, and the like are executed by using a plurality of groups having a plurality of moving bodies. [Solution] Provided is a control system that controls operations of a plurality of groups including at least a first group having a plurality of moving bodies and a second group having a plurality of other moving bodies, the control system comprising: an activity condition acquisition unit that acquires information pertaining to activity conditions of the plurality of moving bodies; a group operation determination unit that, on the basis of the information acquired by the activity condition acquisition unit, determines, for each group of the plurality of groups, at least one of a group organization, an allocation operation, an allocation area, a movement route, and a formation; and a group operation control unit that controls at least one of the group organization, execution of the allocation operation, execution of an operation in the allocation area, the movement route, and the formation of the plurality of groups in accordance with the determination content of the group operation determination unit.

The application discloses a grouping operation method, device and equipment of dense warehouse AGV and a storage medium, relates to the warehouse technology field, aims at the problem that the narrow channel of the dense warehouse leads to the operation channel conflict of multiple AGVs and the low efficiency of warehouse-in and warehouse-out, and provides a grouping operation method of dense warehouse AGV. The method collects the global AGV state and the warehouse-in and warehouse-out task queue through a sensor network, divides the AGVs into groups matched with the number of channels by using a position dynamic clustering algorithm, assigns the roles of goods putting and goods taking to each group by using a deep reinforcement learning decision model, issues task instructions by using an optimal assignment algorithm, monitors the operation state of the AGVs in real time and updates data, realizes the dynamic optimization of the scheduling strategy by model iteration, and ensures that only a single role group operates in the same channel. The application realizes the closed-loop automation of AGV scheduling, avoids channel conflict, and improves the collaborative operation efficiency and system turnover capacity of multiple AGVs of the dense warehouse.

The application discloses a group operation control method, a centralized controller and a refrigeration system of a cold storage. The method is applied to a refrigeration system with multiple refrigeration devices, and comprises the following steps: a refrigeration area is divided into multiple sub-areas through a first division line and a second division line; the first division line and the second division line both pass through the geometric center of the refrigeration area; according to the positional relationship between the refrigeration devices and the first division line and the second division line, the refrigeration devices are set as always-on devices and switching devices; and the operation of the always-on devices and the switching devices is controlled according to a preset control logic. Through the application, the temperature in the cold storage can be ensured to be uniform while energy consumption is saved.

A freight railway-oriented group train cooperative control system and method are characterized in that according to a group plan, a plurality of freight trains in the same station track need to depart and run in a group mode, in-station group depart cooperative control is carried out, and after the group trains depart and before the group trains arrive at a running terminal point, station-passing cooperative control is carried out on the group trains; and when the group train arrives at a predetermined de-compiling position in the group plan, performing group train de-compiling cooperative control, and de-compiling the freight train which does not run in the group any more. Through distributed cooperative control and train-to-train communication, intelligent marshalling and cooperative operation of multiple trains during departure in the station, passing on the way and de-marshalling are achieved, the station operation process of the long and large marshalling freight train can be optimized, the line passing efficiency and the transportation density are improved, meanwhile, dependence on additional hardware equipment is reduced, and the working efficiency of the long and large marshalling freight train is improved. And efficient, safe and flexible heavy haul railway grouping operation control is realized by taking a software algorithm as a core.

To efficiently estimate the quality of group work without hearing subjectivity from participants of the group work.SOLUTION: An estimation device that estimates quality of group work from observation data in the group work in which a plurality of participants participate includes an acquisition unit that acquires observation data for each participant, an estimation unit that estimates subjective data by inputting the observation data for each participant to a learned model, and an evaluation unit that outputs the quality of the group work based on the subjective data estimated from the observation data.SELECTED DRAWING: Figure 8

This invention discloses a parallel pump group scheduling method and system based on dynamic programming, belonging to the technical field of intelligent pump group scheduling. The method involves data acquisition and preprocessing, discretizing and equivalently treating the variable frequency pumps as n equivalent fixed frequency pumps. Then, single-pump performance curves and pipeline network performance curves are fitted. Based on the single-pump performance curves, the high-efficiency operating range of each pump is determined. Then, using water supply flow demand, water supply head demand, and the high-efficiency operating range of each pump as hard constraints for pump group operation, candidate pump group combinations are selected. The start-up and shutdown costs and usage time of each pump are incorporated as soft constraints into the total cost, constructing a minimum objective function for the total cost. Finally, a dynamic programming algorithm is used to obtain the global optimal solution, generating the optimal pump group scheduling sequence within the scheduling cycle. This invention balances low energy consumption and equipment health, and is applicable to mixed pump group scenarios including fixed-frequency and variable frequency pumps, significantly reducing energy consumption in traditional scheduling and mitigating equipment wear.

Disclosed is a method for training a machine learning model for generating synthetic data, the method comprising: Providing an encrypted data set, resulting from encryption of an original data set, to a server, the encrypted data set comprising a set of entries, wherein each entry of the encrypted data set comprises values for a set of attributes; application of a homomorphic machine learning algorithm for data synthesis comprising a set of homomorphic group operations on the encrypted data set, such a homomorphic algorithm as understood herein encompasses any algorithm the execution of which causes the decrypted results to coincide with the results of applying the same homomorphic group operations on the original data set.

The present invention provides a group train headway determining method and system. The method comprises: obtaining a group train in-section headway, a group train station departure interval, and a group train station arrival interval; and determining a group train headway on the basis of the maximum one of the group train in-section headway, the group train station departure interval, and the group train station arrival interval. The average headway between group cargo trains can be minimized to 3 min, and the maximum transport capacities of heavy-load train group operation control systems are improved.

The present application relates to weak network environment batch user migration management method, device and storage medium, read operation task data from local offline file to execute operation task based on task data; Group operation task according to network address of baseboard management controller, adopt asynchronous I / O concurrent processing mechanism, concurrent execution operation task of different network address of baseboard management controller, the present application realizes concurrent operation to user, improves operation efficiency;In the same baseboard management controller, according to the definition order of local offline file, operation task is executed in turn, to avoid concurrent conflict;The business logic of all operation tasks is concentrated in the core module, and the calling module is established as the program entry and the dispatcher to call the core module to execute the operation task, so that the weak network environment batch user migration management is completed.The present application can improve the operation efficiency, especially in the weak network environment, the performance advantage of the present application is more significant compared with the traditional scheme.

The application discloses a kind of to database is carried out resource management method, system, equipment and medium;The method comprises: creating at least one resource group in database, and the configuration information of each resource group is defined;Based on each resource group binding relationship table, each resource group is bound, and the binding type of each resource group is determined;Based on the binding type of each resource group, the configuration information of each resource group is updated by resource group operation interface, and the target configuration information of each resource group is obtained;Based on the target configuration information of each resource group and the state of each resource group, the corresponding query operation is executed;Whether the state of each resource group changes is monitored, when the state of each resource group changes, then trigger corresponding resource adjustment strategy, and record change information;Different tenants (database) are isolated by resource group mechanism, realize database level resource isolation and fine management, improve the stability of multi-tenant environment.

This invention belongs to the field of rail transit technology and proposes a method for calculating the safe tracking distance of a group train based on adhesion braking. The main scheme is to establish a group train dynamic system model, group operation control sensors, wheel-rail adhesion controller, braking system model, and group train adhesion braking coordinated control system model, and set a three-level judgment rule consisting of adhesion judgment, tracking judgment, and braking judgment. When the train begins braking, the braking torque, distance difference, communication delay, wheelset creep rate, and wheelset angular acceleration are input in real time. The safe braking distance of the group train is calculated using the three-level judgment rule. After the braking process is completed, the safe tracking distance of the group train under braking conditions is output. This method can accurately calculate the safe tracking distance of the group train under braking conditions by using the three-level judgment rule consisting of adhesion judgment, tracking judgment, and braking judgment under complex operating conditions and train conditions of different types.

The embodiment of the utility model relates to the technical field of combined operation equipment, and particularly discloses a base station and combined operation equipment, the base station comprises a base station body, a cleaning assembly and a driving assembly, the cleaning assembly is arranged on the base station body and used for cleaning a robot, and the driving assembly is arranged on the base station body and used for driving the robot to rotate. The driving assembly is connected with the cleaning assembly and used for driving the cleaning assembly to rotate back and forth relative to the base station body. By means of the mode, the robot can be automatically cleaned, a user does not need to manually clean the robot, and the use experience feeling of the user is improved.

Disclosed is a method for training a machine learning model to generate synthetic data, wherein the method comprises: providing an encrypted data set resulting from the encryption of an original data set to a server, wherein the encrypted data set comprises a set of entries, each entry of the encrypted data set comprising values ​​for a set of attributes; applying a homomorphic machine learning algorithm for data synthesis, comprising a set of homomorphic group operations on the encrypted data set, wherein such homomorphic algorithm, as understood herein, comprises any algorithm whose execution causes the decrypted results to be consistent with the results of applying the same homomorphic group operations to the original data set.

The application discloses a database parallel aggregation method based on a column storage format, a computer device and a storage medium, and comprises the following steps: dividing to-be-aggregated data into a plurality of data blocks; assigning all the data blocks to a plurality of grouping tasks to perform grouping operations on row positions in parallel, to obtain a plurality of sub-tables; for any one of the grouping tasks, grouping row position information according to a first column aggregation field value to obtain a first sub-table including a plurality of records, for each record of the first sub-table, obtaining row position information in a row position sequence from the record, and obtaining a corresponding aggregation field value from a second column aggregation field value according to the obtained row position information, and re-grouping row position information according to the aggregation field value on the basis of the first sub-table to obtain a second sub-table including a plurality of records; and the like; merging the sub-tables of all the grouping tasks to obtain a plurality of shards; and merging all the shards to obtain an aggregation result.

The application discloses a kind of multi-group grab dredger and the method for configuration of mud barge configuration overall deployment, it is related to intelligent dredging collaborative scheduling technical field, including, the operation parameters of the collection multi-group grab dredger and mud barge and operation area environmental parameter, and parameter is standardized processing;Based on the parameter after standardization processing, operation unit is divided to operation area, and the unit time dredging operation efficiency of each grab dredger and the transport operation cycle of each mud barge are calculated in combination with the operation condition of each operation unit, obtain corresponding single-group operation capacity parameter;Based on each single-group operation capacity parameter, the mud output capacity of grab dredger and mud barge transport capacity of each operation unit corresponding to each operation unit are summarized and analyzed.The application realizes the collaborative matching and dynamic optimization configuration of dredging and transport capacity, improves resource utilization efficiency, reduces waiting and empty driving time, improves overall dredging operation efficiency and scheduling response capability.

The invention relates to the technical field of water conservancy projects, and discloses a multi-group static blasting device for tunnel excavation and a construction method.The device comprises a frame body and a mechanism used for integrating the drilling function and the hydraulic splitting function and conducting coordinated operation; the drilling mechanism is used for drilling a large-diameter rock core on a tunnel excavation contour line to form an initial free face; and the splitting mechanism comprises a plurality of hydraulic splitting rods and is used for splitting the rock mass through hydraulic expansion force. The method comprises the steps of S1, surveying, setting out and hole site planning, S2, contour surface presplitting and coring, S3, internal rock mass blocking and drilling, S4, multi-group synchronous static blasting, S5, sequential splitting and deslagging and S6, circulating operation. According to the invention, a regular initial free face is formed, a group operation mode that a plurality of groups of hydraulic splitting rods are arranged in a linear array and can be synchronously started is adopted, uniform and strong expansive force can be instantly formed on a splitting face in a rock mass, and one-time efficient stripping of the rock mass is realized.

Techniques for wireless communications are disclosed. In an aspect, a target user equipment (UE) receives, from an initiating UE, a first groupcast message for a sidelink group comprising a plurality of UEs including the target UE and the initiating UE, where the first groupcast message includes a groupcast destination identifier indicating that the first groupcast message is intended for all of the plurality of UEs of the sidelink group; and transmits, to the initiating UE, a second groupcast message, where the second groupcast message includes a pairwise groupcast destination identifier that is based on a first identifier common to the initiating UE and the target UE and a second identifier specific to the target UE and known to the target UE and the initiating UE, and where the pairwise groupcast destination identifier indicates that the second groupcast message is intended only for the initiating UE.

This invention discloses a customer group operation method, apparatus, electronic device, and storage medium, relating to the field of internet data processing technology. The method includes: dynamically setting the number of shards and grouping user data into multiple independently executable micro-batch task units by assessing cluster size and resource status. A streaming engine with multiple execution nodes is used to adjust the micro-batch granularity in real time according to cluster load. Each execution node monitors resource status in real time, calculates a resource busyness coefficient based on the current number of micro-batch task units and estimated execution time, and dynamically allocates task volume accordingly. In the face of upstream tag data latency, the system automatically triggers a tiered degradation strategy, flexibly cutting non-core tasks, switching to offline tag snapshots, or implementing a fallback strategy based on the latency level and task priority, ensuring the continuity of core business. This invention effectively solves the problems of poor timeliness, low resource utilization, and lack of effective disaster recovery mechanisms in existing technologies.

Methods are described for dynamically managing device locationing groups. According to some aspects, mobile devices may be tracked on a group basis, e.g., as opposed to being tracking on an individual basis. For example, location information for each of a plurality of mobile devices may be received at a location group server (LGS) and the LGS may determine (e.g., based on the location information) that each of the plurality of devices are in a physical location. One or more location group operations may be triggered by the location group server (e.g., based on determining that each of the plurality of devices are in the physical location) and the LGS may receive a location update from a device of the plurality of mobile devices (e.g., wherein the location update is not received from a remainder of the plurality of mobile devices).

The invention relates to a work order distribution method and apparatus, an electronic device and a storage medium. The method comprises the steps of obtaining a to-be-distributed work order; according to the group state and the group internal operation state of each group in all the groups, deleting the groups of which the group states are logout states and the group internal operation states are invalid businesses in all the groups to obtain a candidate group set; verifying each group in the candidate group set based on verification logic in a pre-constructed group operation state decision tree to obtain a target group passing verification; and distributing the work order to be distributed to the target group. By means of the method, the groups meeting the requirements can be efficiently screened out, the problems of high cost and low accuracy of manual inspection are solved, meanwhile, through automatic verification logic of the decision tree model, the work order distribution efficiency and accuracy are improved, it is ensured that the work orders can be accurately distributed to the groups needing rectification, and the work order distribution efficiency is improved. And the overall management efficiency and the operation quality are improved.