3361 results about "Data control" patented technology

The invention discloses an adaptive protocol stack reconstruction and transaction-level data control method for 5G communication, and aims to solve the technical problems of fixed protocol stack structure, coarse transmission control granularity and the like of an existing communication module. The method comprises the following steps: firstly, analyzing an application layer communication session initialization instruction, generating a communication task label, acquiring 5G network environment state data in real time, and constructing a network state feature vector; then, the communication task label and the network state feature vector are input into a protocol mapping decision map, a protocol reconstruction instruction is generated, loading and unloading of a protocol module in a protocol stack resource pool are controlled, a dynamically-adaptive protocol path is constructed, and a transaction identifier is allocated to the protocol path; and establishing a transaction-level data buffer area based on the transaction identifier, performing priority marking on the data packet, and executing differentiated dynamic flow control operation according to the network state feature vector and the priority label, thereby realizing high-reliability and low-delay 5G communication data management.

The invention discloses a database management method and management system, and relates to the technical field of general database management, and the system comprises a user information management module, a work management module, a salary settlement module, an evaluation feedback module, an analysis prediction module, a multi-terminal integration module and a safety guarantee module. In the invention, a role-based access control permission model is constructed in a permission control layer and a module definition, and a field-level data control mechanism is implemented for three roles of a platform administrator, a customer enterprise and an employee, for example, the employee can only check a specific public field in a salary list, and sensitive fields such as a salary calculation formula are dynamically shielded; through a permission inheritance mechanism, the system automatically adds a filtering condition that employee ID = current user ID for a query request of an employee role, data isolation is ensured, a multi-dimensional data relation graph of employee-post-customer-contract is constructed, and a dynamic association path between entities is mapped in real time through a visual view.

Procedures, methods, architectures, apparatuses, systems, devices, and computer program products for decentralized data control and access management. For example, a data owner may perform a subscription procedure to obtain verification credentials and an index (e.g., address, identifier) to public data control and access information. The data owner may perform a registration procedure to register ownership of data using the public data control and access information. The public data control and access information may include a public key. The public key is paired with a private trapdoor key to form a key pair. The data owner and a data consumer may perform an access procedure to grant access to registered data. For example, the registration procedure may verify collisions between a token hash, a data hash, and a data owner hash based on use of the key pair.

The present invention relates to the technical field of warehousing control. In particular disclosed are an automatic cargo loading and unloading warehousing control system and a cargo loading and unloading device therefor, the system being provided with a compartment parking information acquisition and processing module, an intelligent cargo conveyance control module, a warehousing management information comprehensive determination module, and a data control library. First, compartment parking information acquisition and preprocessing is performed, and it is determined whether a cargo loading and unloading AGV can be started, and next, a first channel is screened out to convey a goods in a compartment. Hence, a control anomaly value of warehousing management information of an intelligent warehousing control platform is comprehensively calculated, and the warehouse management information is subjected to autonomous early warning control and indication, thus facilitating rapid operations of cargo loading and unloading, and greatly improving the efficiency of warehousing intelligentization. Meanwhile, the labor costs of warehousing operations can be reduced, and the quality and accuracy of cargo processing can also be improved.

The invention discloses a server link fault positioning system and method, electronic equipment and a storage medium, and relates to the technical field of server link tests.Physical layer data and protocol layer data of a data collection point are collected through a collection assembly, a test assembly is controlled to conduct server link testing, the test assembly comprises a control module and an analysis module, and the control module is connected with the analysis module. The test instruction is issued to the server link through the control module, when the server link fault is monitored, the analysis module acquires the physical layer data and the protocol layer data of each data acquisition point from the acquisition assembly, and determines the fault position and / or the fault type of the server link according to the acquired data, so that the automatic link quality evaluation is realized, and the efficiency is improved. And the fault position and the fault type can be determined, so that the problems of difficulty in accurately positioning the fault position and distinguishing the hardware link fault and the software error through a single pressure test and low troubleshooting efficiency caused by manual fault positioning in the prior art are solved, and the technical effect of improving the troubleshooting efficiency is achieved.

The embodiment of the invention discloses an abnormity monitoring system applied to a plasma etching machine. The abnormity monitoring system comprises constant current source equipment, a coil, a coil detection circuit and a controller, and the constant current source equipment is configured to output driving current according to preset etching process parameters; the coil is configured to generate a magnetic field in the etching cavity in response to the input of the driving current to guide the plasma to move towards the direction of the substrate so as to etch the substrate; the coil detection circuit is configured to detect coil state data of the coil; the controller is configured to generate device service information based on the coil state data. According to the embodiment of the invention, the working state of the coil is monitored through the coil state data, and the actual condition of the coil is reflected through the equipment maintenance information, so that a user can quickly know whether the coil is in an abnormal state, the user is helped to quickly position the maintenance direction, the user is prevented from detaching and maintaining the coil from the etching cavity, and the user experience is improved. And various resource investments wasted due to the fact that the coil is abnormal do not exist.

The invention relates to equipment and a method for water-guided laser collaborative forcible entry of a reinforced concrete pile head based on artificial intelligence recognition, and belongs to the technical field of forcible entry equipment. Comprising a mobile chassis; the rack is mounted on the movable chassis; the water jet system is mounted on the rack and is provided with a first working part; the mechanical drill bit system is mounted on the rack and is provided with a second working part; the identifying and positioning module is used for collecting real-time data of a three-dimensional structure, steel bar distribution and a forcible entry area of the pile head; and the control unit is in communication connection with the identifying and positioning module, the water jet system and the mechanical drill bit system, and the control unit receives data of the identifying and positioning module to generate a forcible entry strategy and a mechanical drill bit path plan so as to guide the first working part and the second working part to cooperatively work. The technical problems that in the prior art, impact force of water jet forcible entry is limited, and the forcible entry efficiency of a hard core layer and a complex forcible entry environment is not high are solved.

The invention relates to the field of factory intelligent cooling, and discloses an MPC-based large factory intelligent cooling system and a cooling control method, the system comprises a data acquisition module, an AI control module, a cooling tower control module, a cooling water pump control module and a cooling-water machine control module; the data acquisition module acquires outdoor environment temperature and humidity, cooling tower outlet water temperature, cooling water pump inlet and outlet water temperature difference and flow and water chiller operation state data in real time. The AI control module constructs a system model through real-time data, predicts and optimizes by using an MPC algorithm, and calculates optimal values of the running frequency of a cooling tower fan, the running frequency of a cooling water pump and the power of a cooling-water machine compressor by adopting sequential quadratic programming, so as to realize cooperative dynamic control of equipment in the system; the overall operation efficiency of the cooling system under the outdoor temperature and humidity change condition is effectively improved, and the overall energy consumption of the system is minimized in real time.

A hybrid neural network architecture is disclosed that integrates matrix multiplication-free (MatMul-free) transformation layers with spiking neural network (SNN) layers for efficient, low-power computation. The system includes an interface module configured to convert intermediate continuous-valued data from MatMul-free layers into a spike-compatible format using encoding techniques such as rate coding, phase coding, or threshold-based conversion. The SNN layers process the spike-encoded data in an event-driven manner, enabling sparse, temporal inference. Training is supported by a hybrid optimization strategy combining backpropagation in MatMul-free components with surrogate gradient descent or spike-timing-dependent plasticity (STDP) in SNN layers. The architecture reduces computational complexity, supports real-time adaptability, and enables deployment in energy-constrained environments such as edge devices and neuromorphic platforms. The system may be implemented in hardware, software, or a co-designed pipeline optimized for dynamic sensor data, control signals, or continuous inference tasks.

The invention relates to the technical field of computers, and discloses a data control method and system, electronic equipment and a storage medium, and the method comprises the steps: receiving a data control strategy defined by a data owner, and the data control strategy is constructed based on a quintuple framework and comprises a subject, an object, an environment condition, an operation behavior and an effect; compiling the data control strategy into an intelligent contract code, and generating a source code based on an intelligent contract template; deploying the smart contract code to a block chain network to form a decentralized strategy decision point; intercepting the data access request, triggering the smart contract to verify the access request, and generating an access credential when the verification is passed; and allowing data access based on the access credential, and monitoring a data use behavior to ensure consistency with the data control strategy. According to the method, the fine granularity and the whole-process coverage of data control can be improved, the auditing credibility can be improved, the automation level and the efficiency of a control system can be improved, and the end-to-end safety guarantee capability is enhanced.

Display assemblies utilizing air characteristic data to verify internal operating conditions and related systems and methods are disclosed. The display assembly includes a side assembly, including an electronic display, is connected to a structural framework. Sensor(s) are provided, at least one of which is located at, or fluidly connected to, a closed airflow pathway. A controller receives data from the sensor(s) and determines whether an initial indication of an operating condition exists. If so, a testing routine is initiated, additional data is received from the sensor(s) during and / or thereafter. The controller confirms whether the operating condition exists based on the additional data.

The present application discloses a virtual object control method and apparatus, a storage medium, and an electronic device. The method comprises: displaying a target virtual scene; acquiring environment perception data corresponding to a first virtual object in the target virtual scene, the first virtual object representing an object controlled by a system, and a portion of data associated with a target virtual object in the environment perception data being determined by whether the target virtual object is visible to the first virtual object; determining action packet data on the basis of the environment perception data, and controlling the first virtual object to execute a target action according to the action packet data, the action packet data comprising different types of sub-actions predicted on the basis of the environment perception data, and the target action being determined by combining different types of sub-actions. The present application solves the technical problem of the accuracy of control of a virtual object being low due to the presentation of the virtual object being singular. The embodiments of the present application can be applied to various scenarios, such as cloud technology, artificial intelligence and smart traffic.

The invention provides a quad-rotor unmanned aerial vehicle trajectory tracking control method and device, equipment and a storage medium, and belongs to the technical field of unmanned aerial vehicle control, and the method comprises the steps: determining a translation system state variable and an attitude system state variable of an unmanned aerial vehicle based on the real-time trajectory data of the quad-rotor unmanned aerial vehicle; calculating a translation disturbance estimated value based on the translation system state variable, the disturbance observer constant and the expected speed; thrust data is determined based on the translation system state variable, the translation disturbance estimated value, the expected speed, the expected position and outer ring controller parameters of the unmanned aerial vehicle; determining a desired attitude angle based on the thrust data and the desired yaw angle; calculating a control moment based on the expected attitude angle, the attitude system state variable and an inner ring controller parameter of the unmanned aerial vehicle; and based on the thrust data, the control torque and the physical parameters of the unmanned aerial vehicle, calculating to obtain a rotor expected rotating speed, and controlling the unmanned aerial vehicle based on the rotor expected rotating speed. The accuracy of flight control of the unmanned aerial vehicle can be improved.

The invention relates to the technical field of automatic monitoring, in particular to a multi-sensor fusion automatic monitoring system and method based on Beidou positioning, and the system comprises an anti-interference and environment adaptation module which comprises a Beidou positioning module, a multi-sensor fusion unit and a data processing and communication unit, the Beidou positioning module is connected with the data processing and communication unit, and the multi-sensor fusion unit is connected with the anti-interference and environment adaptation module; the multi-sensor fusion unit is connected with the data processing and communication unit and used for collecting positioning signals, the multi-sensor fusion unit is connected with the data processing and communication unit and used for providing auxiliary monitoring data, and the control center analysis unit receives real-time data through the data processing and communication unit and is used for monitoring analysis and early warning. Therefore, the problems of easy signal shielding, precision fluctuation and data interruption of single Beidou positioning in a complex environment, insufficient three-dimensional monitoring precision and poor anti-interference and wide-temperature stability caused by lack of hard-soft cooperation in multi-sensor fusion, and high false and missing report rate caused by fixed early warning threshold are solved.

The invention provides a ship navigation situation sensing system and sensing method based on panoramic video construction, and belongs to the technical field of image processing, and a control module collects data through navigation equipment, environment measurement equipment and sensing equipment. The control module preprocesses the collected data. The control module performs feature extraction on the data and detects a static obstacle and a dynamic target. The control module performs association fusion on the static obstacle and the dynamic target through a multi-source data fusion algorithm; and the control module displays the static obstacle and the dynamic target through the display module. The control module evaluates the sailing risk of the ship according to the sailing state of the ship, the position of the static obstacle and the situation of the dynamic target; when the control module predicts danger, the control module gives an alarm through ship alarm equipment, provides adjustment suggestions and records dangerous events at the same time. According to the invention, comprehensive and accurate surrounding environment information is provided for a ship driver, and the safety of ship navigation is improved.

The invention provides an airborne self-adaptive photovoltaic cleaning device and a cleaning pressure adjusting method thereof, and the device comprises a cleaning load module which comprises a water tank, a high-pressure spray head, a spray rod and an air pump; the laser locator is used for emitting laser to locate the cleaning position; the camera is arranged on the unmanned aerial vehicle; the airborne edge control terminal is used for collecting flight state data of the unmanned aerial vehicle and operation data of the cleaning load; the control circuit module is used for adjusting the water outlet pressure, the water outlet mode and the nozzle orientation; the cleaning management platform is used for monitoring and early warning the dust accumulation state of the photovoltaic module; the photovoltaic module dust deposition early warning system is used for providing dust deposition quantitative data; by integrating the cleaning management platform and the cleaning device, comprehensive automation and intelligentization of photovoltaic module cleaning work are achieved, compared with a traditional manual cleaning mode, the cleaning efficiency is greatly improved, dependence on manpower is reduced, and the cleaning device is particularly suitable for operation and maintenance cleaning work of large-scale and complex-terrain photovoltaic power stations.

The invention discloses a fixing and adjusting device for automatic welding of a robot, and relates to the technical field of automatic welding of robots. The first transmission assembly and the second transmission assembly are combined with the first hydraulic cylinder and the angle adjusting assembly, flexible and accurate three-dimensional space positioning and posture adjusting capacity is provided for a welding structure, the multiple independently-driven robot clamping jaws are provided with floating pressure heads, a pressure sensor and a temperature sensor are integrated, and the welding precision is improved. The clamping state is monitored in real time, stable clamping is ensured, meanwhile, damage is avoided, three-dimensional deformation data of a workpiece are captured in real time through the laser contourgraph and the CCD camera, the controller integrates the data, a welding seam track, the pose of the robot and clamping force, displacement and temperature information fed back by the clamping jaw, and then the adjusting assembly can be driven to conduct pose compensation. Local thermal deformation caused by welding heat input is actively counteracted, and the welding precision, the joint quality and the process stability are improved.

The invention relates to an unstructured environment-oriented heterogeneous data fusion sensing system for an agent with a body, which can be applied to the technical field of intelligent control. The system comprises a sensing module and a control module, the sensing module is used for acquiring multi-dimensional physical attribute data, three-dimensional space form data and dynamic mechanical response data of the intelligent body in real time; the control module is used for performing timestamp synchronous marking on the multi-dimensional physical attribute data, the three-dimensional space form data and the dynamic mechanical response data, and realizing spatial consistency mapping of the multi-dimensional physical attribute data, the three-dimensional space form data and the dynamic mechanical response data through coordinate system conversion to obtain heterogeneous data; performing feature matching on the heterogeneous data to generate a fusion perception vector; based on the fusion perception vector, generating an autonomous decision instruction corresponding to the body agent; and controlling the body agent to execute a target action corresponding to the autonomous decision instruction. By adopting the system, the control accuracy of the intelligent body can be improved.

The invention discloses a large model corpus data interaction system and method based on a trusted execution environment, a terminal and a medium. The system comprises a data provider, a data demander and a trusted data space service platform. And the data provider is used for encrypting the corpus data, and performing preprocessing, directory sorting and packaging on the corpus data in the data provider connector to obtain the data capsule. And the data demander is used for submitting a calculation task in the data demander connector and obtaining corpus data of the data capsule for calculation after authorization. And the trusted data space service platform is used for storing the encrypted corpus data, controlling access of a data user, scheduling a calculation task, managing a key and generating an audit log. Through trusted execution environment hardware isolation and full-link encryption, it is ensured that corpus data only exists in a plaintext form in the trusted execution environment in the full life cycle from access to destruction, and unauthorized access and leakage are completely eradicated.

A storage device may carve out redundant array of independent disks (RAID) and reduce write amplification when writing data to the RAID. The storage device includes multiple flexible data placement drives that are configured to execute RAID techniques. A controller on the storage device may receive data from a host. The controller obtains reclaim unit handles from the data to determine locations where the data is to be stored on the flexible data placement drives. During storage, the controller stripes the data in parallel across reclaim units within different reclaim groups and endurance groups across a single flexible data placement drive or multiple flexible data placement drives. The storage device leverages the write amplification of the flexible data placement drives to reduce a write amplification factor on the RAID.

The invention relates to the technical field of immersion liquid cooling control, in particular to an immersion liquid cooling data control method and system combining photovoltaic and low-temperature waste heat power generation, and the method comprises the steps: transmitting low-temperature waste heat generated by the operation of a server to a liquid cooling circulation system, capturing solar radiation energy through a synchronous photovoltaic module, forming basic energy input, and transmitting the basic energy input to a server; generating a symbiotic energy substrate; the symbiotic energy substrate drives dual-path conversion, and photovoltaic electric energy is directly supplied to a cooling system pump set and a control unit to maintain liquid cooling circulation; afterheat pushes an expansion unit to generate power through organic working medium gasification, so that energy consumption of a cooling system is supplemented, and an energy flow self-driving system is formed; operation parameters of the energy flow self-driven system are input into the control core, and a three-state strategy is dynamically executed based on the load state and photovoltaic output. The system comprises a liquid cooling cabinet, a CDU control unit, a PLC, a solar panel, a photovoltaic cell, an illumination intensity sensor, a waste heat recovery device, a mode switcher and the like. According to the invention, system operation mode switching time delay is eliminated.

A single Data Control Information (DCI) may be used to schedule physical data channels, e.g., PDSCH / PUSCH, for a given device / user equipment (UE) on multiple cells. Accordingly, a single DCI may be transmitted to a device / UE to schedule physical data channels on multiple cells for the device / UE, for example to concurrently schedule the physical data channels for the device on multiple cells / component carriers. The single DCI may include multiple DCI fields for indicating required communication parameters. Each DCI field of at least a subset of the multiple DCI fields is either used for every cell of the multiple cells or for a corresponding single cell of the multiple cells. Whether a single DCI field or multiple DCI fields are used for a given relevant communication parameter may be determined individually for each of the relevant communication parameters which are to be indicated in the single DCI.

The invention provides an AI meteorological station data quality control method fused with numerical forecasting, which relates to the technical field of data control, and comprises the following steps: standardizing multivariable meteorological observation data and numerical forecasting data, constructing an LSTM-AE physical driving model to extract observation and forecasting physical characteristics, reconstructing an observation time sequence through an LSTM decoder, and calculating the data quality of the AI meteorological station. And taking the deviation between the reconstructed sequence and the original sequence as an index training model, evaluating an abnormal state of the to-be-detected data, determining a quality grade mark, and feeding back an optimization model. According to the invention, high-precision quality control of meteorological station data is realized, the anomaly detection performance is improved, and the reliability of meteorological data is guaranteed.

The invention discloses an air guide assembly, an angle control method of an air guide plate, electronic equipment and a storage medium, and relates to the technical field of heat dissipation, the air guide plate can adjust the flow direction of air flow blown out by a fan, so that the flow direction of the air flow can be flexibly adjusted through rotation of the air guide plate, and air cooling heat dissipation of the air flow in any direction is achieved. Besides, after the sensors collect relevant data, the processor can control the driver to drive the air guide plate to rotate according to the data collected by the at least one sensor, so that the air guide direction of the air guide plate can adapt to the data collected by the at least one sensor, the air guide plate is driven to rotate through the driver, and air cooling heat dissipation is flexibly and efficiently executed. Compared with a heat dissipation scheme in the related technology, heat dissipation is more flexible and efficient, and the structure is simpler. Therefore, the technical problems of low heat dissipation efficiency and complex heat dissipation structure can be solved, and the technical effects of flexible and efficient heat dissipation and simple heat dissipation structure are achieved.

The invention relates to a film and television filter lamp effect application method and device, equipment and a medium, and the method comprises the steps: obtaining a filter template correspondingly set based on film and television description information, the filter template being used for defining a filter effect applied by a film and television work corresponding to the film and television description information; configuring original lamp effect data of an atmosphere lamp according to the filter template, and obtaining filter lamp effect data applying a filter effect; and controlling an atmosphere lamp to play a corresponding atmosphere lamp effect according to the filter lamp effect data, so that the atmosphere lamp effect presents a filter effect. Through the technical means, the visual style of the movie and television can be copied in batches and presented in real time in an atmosphere lamp system in a low-cost and high-precision manner for the first time, so that immersive experience of the movie, namely the atmosphere, is really realized.

The invention discloses a solar cell laser scribing track control method, a scribing method and a scribing system.The control method comprises the following steps that a first camera is used for obtaining datum line data at the position L away from the front of a laser device and sending the datum line data and corresponding position data to a control device; when the control device controls the laser to move to the position corresponding to the position data in the first direction, compensation and lineation are carried out based on the datum line data and the preset line spacing, so that the laser carries out lineation along with the datum line; the second camera is used for acquiring a current line spacing between a current processing line and a reference line and sending the current line spacing to the control device, the control device compares the current line spacing with a preset line spacing, the control device obtains correction data according to a comparison result, and the correction data is used for correcting the current processing line according to the correction data. And controlling the movement of the laser based on the correction data and the datum line data of the first camera.

This disclosure provides systems, methods, and apparatuses, including computer programs encoded on computer storage media, for operation of an assembly robotic system. In one aspect of the disclosure, the assembly robotic system includes a tool coupled to a robot device and configured to be selectively coupled to a first object. The assembly robotic system also includes a welding tool, one or more sensors configured to generate sensor data, and a controller. The controller is configured to control the tool to couple the tool to the first object based on the sensor data, control the robot device to bring the first object into a spatial relationship with a second object, and generate a weld instruction to cause the weld tool to weld a seam formed between the first and second objects. Other aspects and features are also claimed and described.

System, method, and various embodiments for a functional code generation system leveraging LLM capabilities, are described herein. An embodiment operates by receiving a user instruction to generate a report. An information prompt is generated, and an large language model (LLM) derives a plurality of vectors from the instruction, including a first vector. A first question is identified based on comparing the first vector to a plurality of questions; the first question is associated with a first query template. A query result from a collection database based on executing a query corresponding to the first query template against the collection database. The LLM is instructed to generate an answer comprising a natural language interpretation of the query result in view of the first question. The LLM is instructed to generate a report based on the answer in view of the user instruction.

The invention discloses an air energy water heater control system based on remote monitoring of the Internet of Things, which comprises a data acquisition and preprocessing module used for acquiring and preprocessing multi-source real-time data of an air energy water heater to generate a data set; the conditional variation auto-encoder prediction module is used for inputting the data set into a conditional variation auto-encoder model to generate prediction data; the control parameter optimization module is used for carrying out multi-neighborhood disturbance search by adopting a variable neighborhood search algorithm according to the prediction data and outputting an optimal control strategy; the control instruction issuing and executing module is used for issuing an optimal control strategy and controlling the terminal to execute heating, heat preservation and closing operations; and the operation feedback and model adaptive optimization module is used for collecting operation feedback data and realizing adaptive updating and closed-loop control of model parameters. Intelligent analysis, prediction and self-adaptive remote regulation and control of the air energy water heater are achieved, and the energy saving performance and the use comfort degree are improved.

The invention discloses a server and a hard disk medium error processing method, and relates to the technical field of servers, the server comprises a controller and a redundant array of independent disks connected with the controller, the redundant array of independent disks comprises a plurality of hard disks, and different data in the same strip is stored in the same sector of each hard disk. If the controller detects that the at least two hard disks have medium errors in the same target sector, the controller obtains a target logic block address corresponding to the target sector in the at least two hard disks, and for any one of the at least two hard disks, a new sector is redistributed for the target logic block address corresponding to the hard disk in a standby sector preset by the hard disk, and reconstructing the new sectors allocated to the at least two hard disks so as to enable the redundant array of independent disks to work normally. According to the method and the device, the waste of storage resources in the redundant array of independent disks caused by direct replacement of a new redundant array of independent disks is reduced, and the user experience is improved.