26results about How to "Avoid state" patented technology

The invention relates to the technical field of time-triggered network communication, in particular to a time-triggered Ethernet scheduling generation and synchronization system based on a hardware time axis construction engine. According to the system, a time axis structure consistent with global synchronization time is constructed on a switch side through hardware, sending time and a sending sequence of a time trigger frame configured by a user are directly mapped into a resource occupation relation on a time axis, and scheduling window mapping, conflict detection and window shaping are completed on a hardware level; therefore, a deterministic scheduling table is generated; through a double-table storage and time alignment switching mechanism, undisturbed updating and synchronous effectiveness of the dispatch table between the switch and the end system are realized. Compared with a traditional scheme of generating a scheduling table depending on a software algorithm, the method does not need a complex scheduling solution process, supports manual controllable configuration of time-triggered frame scheduling, and improves the certainty, autonomy and engineering realizability of the system.

This invention discloses a multi-entity business collaborative optimization operation method based on distributed control, belonging to the field of collaborative optimization technology. The method includes: each distributed business control center determines an acceptable adjustment direction based on a collaborative feasible interval and determines the collaborative pressure level based on a conflict interval; when the pressure threshold is not exceeded, the current operational intention is directionally corrected; when the pressure threshold is exceeded, the operational intention is triggered to revert and switch to a pre-declared secondary business feasible interval, generating corrected operational intention information; when the corrected operational intentions of each distributed business control center reach a preset consistency condition, a stable distributed collaborative operation state is determined. This invention, by determining an acceptable adjustment direction based on a collaborative feasible interval, achieves fine coordination between individual interests and global goals among multiple entities, alleviating the resource inefficiency and interest conflicts caused by insufficient consideration of business-level constraints in traditional methods.

The embodiment of the invention provides a signal processing method and system for power supply equipment of a battery and electronic equipment, and the method comprises the steps that a first voltage signal, a second voltage signal and a third voltage signal corresponding to the power supply equipment of the battery are determined, the first voltage signal is used for representing the current charging state of the power supply equipment, and the second voltage signal is used for representing the current charging state of the power supply equipment; the second voltage signal is used for representing the normal charging state of the power supply equipment, and the third voltage signal is used for compensating the influence result of the target factor on the current charging state; based on the first voltage signal, the second voltage signal and the third voltage signal, a target voltage signal of the power supply equipment is determined, and the target voltage signal is used for lowering the difference degree; and on the basis of the target voltage signal and the temperature information corresponding to the first voltage signal, the second voltage signal and the third voltage signal, calibrating the to-be-calibrated current of the power supply equipment to obtain a target current. The technical problem that the signal processing accuracy of power supply equipment of a battery is low is solved.

The invention provides an intelligent auxiliary bid evaluation method and system based on AI strategy reasoning, and relates to the technical field of intelligent bid evaluation and bid inviting and bidding information process.The method comprises the steps that bid data is subjected to structural processing, a bid file is segmented into evidence fragments capable of being referenced in a positioning mode, and bid feature vectors are constructed; according to the method, text semantic features, unstructured graphic topological features and document DNA features are further extracted, a multi-modal homologous detection fingerprint set is generated, on this basis, clause-level analysis is performed on bid evaluation rules, an executable rule intermediate representation and constraint set is generated, scoring candidate schemes are generated through AI strategy reasoning, and a multi-modal homologous detection fingerprint set is generated; and on the premise that rule constraints are met, strategy optimization is carried out on a scoring result, risk factors and evidence integrity, and an optimal scoring scheme is determined. According to the invention, the interpretability, consistency and risk identification capability of the bid evaluation process can be improved, and the method is suitable for intelligent auxiliary bid evaluation application in a complex bidding scene.

The application discloses a campus intelligent terminal equipment management method and system based on multi-source state synchronization, and relates to the technical field of intelligent terminals.The campus intelligent terminal equipment management method and system based on multi-source state synchronization comprises the following steps:S1, terminal cooperative collection of context state data sets is carried out, and normalization processing is carried out;S2, a migration image synchronization state data set is constructed, and stage switching and playback migration handover are carried out;S3, a pulse interference detection model is constructed, and interference window suppression and online correction are carried out;S4, a double-time reference transaction consistency check and migration submission judgment closed loop is constructed, and linkage rollback and management are carried out.The application effectively improves the state consistency and operation stability in the cross-node migration process of the campus intelligent terminal, and solves the problem of the pulse interference phenomenon in the equipment state migration.

The utility model relates to a magnetic induction control mechanism suitable for an isolation grounding switch. The magnetic induction control mechanism comprises a machine core, a motor, a transmission device, a cam, a magnetic induction accessory and a sensor module, a main shaft and an output shaft are arranged in the movement, the main shaft and the output shaft are in linkage arrangement, one end of the main shaft penetrates through an upper plate of the movement, the cam is fixedly arranged on the main shaft, and one end of the output shaft penetrates through a lower plate of the movement and is suitable for driving a DSE mechanism to perform switching-on or switching-off operation; the motor is fixed to one side of the machine core, the transmission device is installed in the machine core, and the output end of the motor is in transmission connection with the main shaft through the transmission device. The magnetic induction accessory is fixedly arranged on the cam so that the magnetic induction device can rotate along with rotation of the cam, and the sensor module is fixedly arranged on an upper plate of the machine core and arranged adjacent to the magnetic induction accessory so as to induce magnetic field changes of the magnetic induction device to the space where the sensor module is located in the rotation process. Therefore, a corresponding sensor in the sensor module is controlled to be switched on or switched off according to the magnetic field change.

The present invention relates to a multi-robot linkage service control method driven by tourist behavior recognition, including: a first robot acquires a video image sequence of a target tourist, recognizes its visual behavior sequence and determines the service behavior state; when the target tourist meets a preset visual continuation trigger condition, visual continuation information is generated; the visual continuation information includes the visual appearance features, image position, target spatial position, moving direction, visual behavior sequence and service behavior state of the target tourist, and the target spatial position is obtained by coordinate mapping of the image position; the visual continuation information is sent to a second robot, and the second robot determines the corresponding target tourist in the video image it acquires based on this, and continues to recognize the visual behavior sequence and service behavior state of the target tourist; a multi-robot linkage service control instruction is generated according to the service behavior state after continuous recognition, and the robots participating in the linkage are controlled to execute service actions.

The present application relates to the technical field of electric digital data processing, and discloses a multi-entry intention collaborative control method, device, equipment and storage medium, which are used for the accuracy of multi-entry collaborative control.The multi-entry intention collaborative control method comprises the following steps: obtaining intention instructions from multiple control entries, and constructing an intention dependency graph; based on a preset unified state machine model, simulating execution according to the intention instructions and the intention dependency graph, so as to detect and identify conflict intentions, and obtain a conflict intention set; arbitrating the conflict intention set based on a reinforcement learning dynamic arbitration strategy, so as to obtain a winning intention instruction sequence; updating the global state of the unified state machine model according to the winning intention instruction sequence, and generating a global state snapshot; and publishing the global state snapshot to all control entries through an edge collaborative network, so as to realize state synchronization.

This utility model discloses an oil circuit lubrication mechanism for a flat knitting machine needle punch, relating to the field of oil circuit lubrication technology. It includes a main body with a moving mechanism at its rear end, comprising a rack and a half-gear. The rack is fixedly connected to the front end of the main body, and the half-gear is meshed with the upper end of the rack. When the main body lubricates the parts of the flat knitting machine needle punch, the motor is started, and the rotating disk drives the abutment to rotate. Since the abutment is within a rectangular groove of a long rod, and the long rod is connected to a fixed shaft, the long rod drives the half-gear to oscillate. The oscillation of the half-gear drives the rack to reciprocate, which in turn drives the main body to reciprocate. During this reciprocating motion, the main body can cover the two ends of the needle bed, the edges of the needle movement trajectory, or the corners of the triangular system with oil, preventing dry or semi-dry friction of the parts and thus avoiding a reduction in the service life of the parts, ensuring that the knitting accuracy and product quality are not affected.

This disclosure provides a waste gas treatment device for PCB photosensitive dry film production, belonging to the technical field of waste gas treatment devices. It includes: an inner cylinder with an outer cylinder rotatably fitted around its outer periphery; a plurality of sieve holes are evenly spaced on the outer peripheral wall of the inner cylinder; two sealing rings are slidably fitted onto the outer peripheral wall via an annular groove, symmetrically positioned at both ends of the sieve holes; and the outer peripheral wall of the sealing rings contacts the inner wall of the outer cylinder. An air inlet mechanism is located at one end of the outer cylinder and is used to introduce waste gas into the inner cylinder. During the adsorption of organic waste gas by activated carbon, the inner cylinder rotates within the outer cylinder, continuously agitating the activated carbon particles within it. This prevents some activated carbon from constantly contacting a high concentration of organic waste gas, thus avoiding rapid saturation of some activated carbon, reducing the desorption frequency of the activated carbon, and improving the waste gas treatment efficiency of the device.

The invention discloses an Internet of Things equipment multi-dimensional intelligent service scheduling method and system, and the method comprises the following steps: S1, request receiving and feature extraction: receiving a service scheduling request, and extracting scheduling feature information from the request; and S2, multi-dimensional scheduling rule matching: according to a preset priority sequence of scheduling feature information, carrying out matching query on the information in a multi-dimensional scheduling rule base in sequence, and once matching succeeds in a certain dimension, terminating a matching process and entering a service distribution stage. The method has the advantage of accurate and efficient scheduling, and solves the problems that in the service scheduling process of existing Internet of Things equipment, accurate and efficient scheduling of various different Internet of Things equipment is inconvenient, and scheduling faults and inconsistency are easily caused.

The invention relates to the technical field of ecological environment monitoring and information fusion quantification, and discloses a climate intelligent tea garden intelligent monitoring system comprising a sensing module used for collecting multi-source observation data and farming event data of a tea garden plot; the edge consistency module is used for carrying out consistency detection on the multi-source observation data, and the inference module is used for carrying out dynamic assimilation estimation on the hidden state of the tea garden under the condition of introducing the observation credibility; and the active monitoring module is used for calculating expected information gains of different acquisition actions for uncertainty reduction based on the state uncertainty information output by the inference module, and generating an acquisition scheduling strategy at the next moment according to the expected information gains. According to the method, in the edge consistency module, the time window statistical benchmark is constructed for the multi-source observation data under the same time stamp, and the consistency violation degree is calculated based on the cross-sensor consistency constraint set, so that abnormal or low-consistency observation data is prevented from directly participating in state estimation.

The present application relates to the technical field of adaptive parameter control processing, and specifically discloses an adaptive parameter control system for ozone deodorization, which continuously collects the ozone inlet concentration, ozone outlet concentration, oil phase feed flow, ozone inlet flow, pressure difference between the bottom and top of the reaction tower, and reaction temperature in the gas-liquid reaction tower; according to the collected data, the gas-liquid exchange activity value is estimated by alternately executing state recursion and observation correction; the activity estimation value is compared with the initial activity value to calculate the activity decay percentage, a feedforward compensation enable signal is generated when the threshold value is reached, the correction coefficient is calculated according to the current activity estimation value, target dissolution efficiency and current dissolution efficiency, the corrected ozone inlet flow set value is obtained and the flow is adjusted; the actual ozone inlet flow and newly collected ozone outlet concentration are fed back to the state estimation; the present application can avoid reverse regulation errors caused by mass transfer efficiency decay and stabilize the deodorization effect.

The utility model belongs to the field of pipeline assembly, and particularly relates to a portable electric handheld pipeline assembly device which comprises a main body frame, a profiling fixing device, a profiling sliding device, a guiding device and a driving device, the front end of the main body frame is fixedly connected with the profiling fixing device, and the rear end of the main body frame is fixedly connected with the driving device. The two ends of the guiding device are connected with the profiling fixing device and the profiling sliding device respectively, the output end of the driving device is connected with the profiling sliding device, a connector is connected to the profiling fixing device in a clamped mode, and a pipeline is connected to the profiling sliding device in a clamped mode. The device is convenient to operate, labor-saving to operate by staff, and has two functions of disassembly and assembly at the same time; the structure is compact, and tool management and operation space is saved; the stroke limiting is reliable, the situation that products are not assembled in place and are in an overpressure state is avoided, and the consistency of product assembly is ensured.

The invention relates to the technical field of tunnel detection, in particular to a tunnel lining disease sonar detection device carried by an underwater robot, which comprises a sonar detection system, a data processing and analyzing system and an underwater robot carrying and operating system. According to the invention, a tunnel does not need to be emptied, autonomous operation is realized through carrying the detection device by the underwater robot, high risks of manual detection and adverse effects on a tunnel structure are avoided, and the sonar detection system realizes all-directional coverage detection of a tunnel lining by virtue of a high-resolution probe and a three-dimensional scanning module; the self-adaptive signal adjusting module can dynamically adjust parameters according to the underwater environment and adapt to complex water quality and water flow conditions, the data processing system accurately recognizes cracks, spalling, void and other diseases through a deep learning algorithm and determines key information of the diseases, data are visually displayed and stored in real time, and the real-time performance of the system is improved. A stable carrying platform, intelligent navigation and a reliable energy communication system provide stable guarantee for detection.

The application discloses a large model driven multi-agent process autonomous arrangement and collaborative execution system, relates to the technical field of process mining, business process management and artificial intelligence, and comprises a process asset and snapshot management module, a process model and KPI caliber are subjected to versioned snapshot management, a version is locked before execution and a constraint set is injected in a whole link, an arrangement generation module, user demand is converted into a task graph under the locked version constraint, a rule is checked and bound with the version, an agent registration and routing module, agents are filtered and priced and distributed based on a three-dimensional matching degree threshold, a collaborative execution and scheduling module, multi-agent concurrent execution is driven, conflict arbitration and local re-planning are supported, and an audit evidence storage and playback module, an execution process is hashed and stored in evidence and is associated with a version number. Through whole link constraint injection of version locking and multi-agent collaboration, the application realizes process analysis and management tasks that can be arranged, calculated and audited.

This invention relates to the technical field of customer demand response management, and provides a method and system for collaborative response to customer demands. The method includes: receiving and storing resource reservation declarations submitted by processing units to obtain resource pre-occupancy information of the processing units; monitoring and recording the dwell time of customer demands in the processing stage; when the dwell time exceeds a preset threshold, querying the resource reservation declarations to determine whether corresponding resource pre-occupancy information exists in the processing stage, and obtaining a resource pre-occupancy judgment result; if the resource pre-occupancy judgment result indicates existence, updating the status of the customer demand to a specific status indicating the reason for resource pre-occupancy; when the customer demand is in the specific status indicating the reason for resource pre-occupancy, suppressing the triggering of preset downstream processes, thereby realizing the identification and handling of process anomalies in collaborative response to customer demands. This invention has the advantage of improving the accuracy and efficiency of process anomaly handling.

The invention relates to the technical field of power electronic device testing, in particular to an interelectrode capacitance measuring system for an IGBT (Insulated Gate Bipolar Transistor) and a calibration and calculation method thereof, the measuring system is integrated with a measuring-calibration integrated clamp, a standard load is arranged in the clamp, and impedance error calibration can be performed on a whole measuring channel through a mode switching switch before measurement. Based on the method, a set of mandatory three-step sequential measurement process is established: measurement is completed under three specific physical topologies in sequence, error compensation is performed by using a calibration result, and finally, three independent interelectrode capacitors of the IGBT are accurately solved through simultaneous equations. Therefore, the problems that a related high-precision scheme (a VNA method) is high in cost and difficult to operate, a simple scheme (a traditional LCR method) is low in precision, irregular in process and the like are solved, IGBT interelectrode capacitance measurement close to laboratory precision can be achieved on the premise that engineering practicability and economical efficiency are guaranteed, and high precision, high repeatability and high safety are achieved.

The application relates to the technical field of ECU management, and discloses an ECU boot dynamic self-recovery system, method and device based on an on-vehicle diagnosis communication protocol and physical sensing, which are characterized in that the technical scheme comprises a microcontroller, a nonvolatile memory, a memory protection unit and a power supply voltage detection unit; the microcontroller runs the boot guarantee module, the logic evolution module, the dynamic driving unit and the snapshot management and power-off solidification unit; the boot guarantee module is used for power-on priority startup, snapshot state reading, fault self-recovery and breakpoint continuation; the logic evolution module is used for executing the boot loader main body service; the dynamic driving unit is loaded into the running memory and is used for executing the erasing and writing operation on the updatable boot area and updating the snapshot information in the running memory in real time during the flashing process; the power supply voltage detection unit is used for triggering the power-off processing; and the snapshot management and power-off solidification unit is used for responding to the power-off signal and writing the snapshot information into the snapshot storage area.

The invention relates to the technical field of water purification, and discloses a water purification system capable of adjusting mineral concentration, which comprises a pure water conveying subsystem, a mineralization injection subsystem, a signal sensing subsystem and a control subsystem. Wherein the control subsystem is configured to construct a mineralized liquid concentration attenuation model according to the shutdown duration and the environment temperature when water production is started; the injection execution module accumulates mineral mass requirements through an accumulation register, and drives the mineralization injection subsystem to act when the calculated opening duration exceeds a valve dead zone; and the feedback calibration module aligns the flow and water quality data to calculate an execution error after the circulation is finished, and updates the health factor of the filter element according to the calculation execution error. Through closed-loop control of model prediction and feedback calibration, the problem that the injection precision is reduced due to concentration fluctuation of a solid mineralizing medium and aging of a filter element is solved, and accurate mineralizing adjustment in the whole life cycle is achieved.

The utility model relates to the technical field of escalator machining, and discloses a multifunctional escalator upper and lower portion 3D welding tool which comprises a supporting frame, the upper end of the supporting frame is fixedly connected with a bottom plate, a 3D adjusting device is arranged on the upper surface of the bottom plate, and a positioning limiting device is arranged on the outer side of the 3D adjusting device. A bottom anti-impact device is arranged below the bottom plate, and escalator side plates are placed above the supporting frame. By means of the fixed plate, the transverse sliding bin, the movable plate, the threaded rod, the handle, the longitudinal sliding bin, the sliding support and the fixed support, when escalator assemblies with different lengths and widths are assembled, a main body frame of the escalator assemblies can be fixed and positioned, and therefore assembling of the upper portions and the lower portions of escalators with different widths, lengths and models is met; therefore, the full-coverage type 3D positioning effect is achieved, the cost input for manufacturing matched tools is saved, and tool elimination caused by production halt of products is reduced.

This invention relates to the field of energy management technology, and discloses a distributed energy device collaborative system and its master control redundancy backup method and system. The method is applied to a system comprising at least two distributed energy device units with different functions interconnected via a local network. Each unit runs the same control software and has a unique device identifier. Based on the device identifier, a current master control device is elected according to preset rules. The current master control device periodically collects system data and generates and broadcasts synchronization data packets with verification information. The remaining devices receive and verify the data packets, update their local status upon successful verification, and continuously monitor the online status of the master control device. When the master control device is detected to be offline, a re-election event is triggered, electing a new master control device from the remaining online devices. This invention achieves dynamic redundancy backup of control roles through a distributed election and status synchronization mechanism, significantly improving system reliability, availability, and fault tolerance, while reducing system cost and complexity.

The application discloses an unmanned ship formation control optimization method based on a double-channel reinforcement learning framework, aiming at solving the problems of existing adaptive dynamic programming control parameter setting difficulty, traditional genetic algorithm easy to fall into local optimum and multi-dimensional error physical quantity dimension not unified. The application constructs an unmanned ship formation mathematical model and a bottom online control channel, and constructs an upper offline optimization channel; a dimensionless fitness function based on state energy ratio is designed; the upper channel utilizes a reinforcement learning intelligent agent to dynamically decide a genetic operator selection strategy according to a population evolution state to generate a control parameter, the bottom channel utilizes the parameter to perform simulation and feeds back a performance index to the upper channel to update a decision model, and the optimal control parameter is output through double-channel closed-loop iteration. The application improves control parameter optimization efficiency and precision, eliminates the interference of order of magnitude difference on optimization, and significantly enhances the dynamic response speed, steady-state tracking precision and adaptive capacity of the unmanned ship formation system.

The invention discloses a key infrastructure-oriented network attack risk grading early warning method, and relates to the technical field of industrial control network security, and the method comprises the steps: collecting a write instruction to form an information domain intention vector, collecting a physical domain background vector of target equipment, and generating a cross-domain synchronization tuple through time alignment; determining a state transition range, theoretical shortest physical time consumption and a physical reachable mark according to the cross-domain synchronization tuple and the physical dynamics constraint matrix library, and generating a classification matrix; according to the classification matrix, performing active mask bit inactivation and gating traversal on the physically unreachable nodes in the basic topology attack graph, and outputting an early warning level and a dangerous path sequence; blocking and retesting a physical state according to the early warning level and the dangerous path sequence, and generating a closed-loop log packet; according to the method, network alarm and physical state linkage judgment, attack path contraction and blocking result closed-loop right confirmation are realized.

The invention relates to the technical field of intelligent auxiliary training of football sports, in particular to an intelligent auxiliary training method of football sports, which comprises the following steps of: acquiring match schedule information, and identifying a key standby period according to the match schedule information, the key standby period is a time period triggered according to competition importance and competition schedule information; in response to the key standby period, adjusting an optimization target of training plan making and resource allocation; according to the adjusted optimization target and a preset team tactical training requirement, distributing and locking training resources required by team tactical training; for individual training plans conflicting with the training resources, the individual training plans are adjusted, and measures are provided to maintain the physiological state of the player. According to the invention, the overall competitive level of the team is improved.

The invention discloses a power grid operation scene generation method and system, electronic equipment and a storage medium. The method comprises the steps that scene generation conditions are set; analyzing the scene generation condition, and generating a network topology; according to scene generation conditions, an anticipated fault set adapting to different scene generation requirements is constructed, and network topology is updated; obtaining operation states of a new energy station and a load, and generating wind-light load time sequence data according with a wind-light power generation rule and a load power utilization rule of a corresponding region and a corresponding time period in combination with a scene generation condition and a network topology adapted to a current scene generation demand; performing unit combination optimization based on the wind-light load time sequence data, and obtaining unit combination and active power under the scene generation condition; generating power flow data based on the unit combination and the active power under the scene generation condition; and carrying out association combination on the power flow data and the environment data to generate power grid operation scene data. According to the invention, the power grid operation scene conforming to the physical law and the operation constraint can be automatically generated according to the service demand.