108results about How to "Improve certainty" patented technology

The invention relates to the field of molecular photoelectric devices, and provides a single photon source based on an up-conversion photoelectric device and a preparation method thereof, and the preparation method comprises the steps: preparing a dielectric layer; preparing a graphene array electrode on the dielectric layer; constructing a graphene nano gap point electrode pair; placing the graphene nano gap point electrode pair in a two-neck flask, adding 1-(3-dimethylaminopropyl)-3-2-ethylcarbodiimide hydrochloride and an up-conversion luminescent molecule A part into the two-neck flask, adding anhydrous pyridine into the two-neck flask in a nitrogen environment, and stirring to obtain a graphene nano gap point electrode pair; and putting the device connected with an up-conversion luminescent molecule part A at two ends and an up-conversion luminescent molecule part B containing lanthanide metal into a tetrahydrofuran solution for molecular system chelation to obtain the single-molecule up-conversion photoelectric device containing the chiral group. A liquid metal Ga2O3 protective layer is plated on a single-molecule up-conversion photoelectric device, so that a single photon source is obtained, and the stability and the anti-interference capability of the single photon source are enhanced.

The invention belongs to the technical field of new energy prediction, and discloses a power market new energy joint prediction method and system based on SA-GAN, and the method comprises the steps: obtaining the historical data of a power market; respectively adding the attention mechanism into a generator network and a discriminator network in the generative adversarial network, and establishing an attention-generative adversarial prediction model; inputting historical data of the electricity market into the attention-generative adversarial prediction model for training, and continuously optimizing parameters of the attention-generative adversarial prediction model through adversarial learning of a generator and a discriminator; and performing joint prediction by using the trained and optimized attention-generative adversarial prediction model to obtain new energy future power generation data. According to the method, the limitation of a traditional method on complex and nonlinear data processing is effectively solved, joint prediction of multivariable data is realized, interaction among variables is fully considered, and a more comprehensive and accurate prediction result is generated.

The invention relates to a functional security cloud platform and a control method for a rail transit real-time control system, the cloud platform follows a fault-security principle during design and meets the requirements of EN50129 functional security SIL4 level, and the cloud platform comprises a communication gateway used for providing a unified access entrance; the safe real-time virtualization system is used for virtual management, clock self-inspection and interrupt distribution; the security middleware runs in a virtual machine distributed by the security real-time virtualization system and is used for security clock verification, CPU memory self-check result verification, security communication, security voting, cycle control and application management; and the cloud management platform is matched with a virtual machine management module in the secure real-time virtualization system to jointly realize management of virtualization resources. Compared with the prior art, the method has the advantages of high safety, high reliability, high availability, high maintainability, high performance and the like.

The invention discloses a colorectal cancer pathological image semi-supervised semantic segmentation method for regulating and controlling a pseudo label, and relates to the field of medical image visual segmentation. The method comprises the following steps: firstly, performing image acquisition and marking on a target pathological region, and dividing the target pathological region into a training set, a verification set and a test set in proportion; in the consistency regularization process of training the teacher model, sorting and reducing the categories of the low-confidence pseudo labels according to the confidence scores; the confidence coefficient of the pseudo-labels is evaluated through the prediction score difference between the final model and the optimal model of the trained teacher network, and the pseudo-labels with the high confidence coefficient are refined; according to the number of categories in the pseudo tag, setting the triggering probability of each sub-data enhancement method, and generating cascaded pixel random change; and finally, constructing a semi-supervised semantic segmentation model for the colorectal cancer pathological image false label. The problem that the semi-supervised semantic segmentation task of the colorectal cancer pathological image is low in precision is solved.

The invention discloses an image generation model construction method and a three-dimensional digital model determination method. The method comprises the following steps: firstly, obtaining a first object description image, a first description text corresponding to the first object description image, and a first attitude image corresponding to the first object description image; and constructing an image generation model by using the first object description image, the first description text and the first attitude image, so that the constructed image generation model can generate image data with relatively high quality according to the first description text and the first attitude image. Therefore, the image generation model can achieve the purpose of generating the image data according to the text information and the posture information, the image generation effect of the image generation model is improved, and a three-dimensional digital model determined by means of the image generation model can also conform to natural posture constraints. And the determination effect of the three-dimensional digital model can be improved.

The invention discloses a fermentation strain yield prediction method based on artificial intelligence, particularly relates to the field of biological fermentation production, and is used for solving the problems that in the prior art, due to the fact that the yield is difficult to directly map in concentration prediction, monitoring indexes are normal, the final yield deviates from expectation, and reliable strain comparison and production management decision cannot be supported. A historical batch process observation sequence and a material account sequence are aligned to generate a conversion efficiency characterization sequence to form a yield learning sample training yield prediction model, and the conversion efficiency characterization sequence is generated on batches and input into the model to obtain a yield prediction value. And calculating an accounting volume trajectory consistency parameter and a conversion contribution steady-state proportion parameter, inputting the parameters into a coefficient analysis model to obtain a decision credible coefficient, generating a yield risk judgment result for a yield prediction value based on the decision credible coefficient, and realizing a new-batch online prediction record.

The 1394B bus-based hybrid data stream transmission scheduling system comprises an interface control module, a data carrying module, a data processing module and a control scheduling module, when a short message is sent, the control scheduling module firstly checks whether configuration information of a destination node exists locally or not; if yes, a data processing module, a data carrying module and an interface control module are called to send the short message to a destination node; when a stream message is sent, a control scheduling module firstly checks whether configuration information of a destination node exists locally, and if yes, a data processing module, a data carrying module and an interface control module are called to send handshake information to the destination node; and if the destination node replies the response within the specified time, the scheduling module is controlled to set the sending busy state of the node and send the stream message to the destination node, and after the stream message data is sent, the scheduling module is controlled to clear the sending busy state of the node and clear the handshake mark between the node and the destination node.

The present application discloses a power generation control method and device based on active and reactive power adjustment of photovoltaic power generation. The method includes obtaining a planned power generation curve assigned to a photovoltaic power plant by the power grid side and a predicted power generation curve generated by the photovoltaic power plant; judging whether the predicted power generation curve fits the planned power generation curve, and if it cannot fit, modifying the planned power generation curve by deep learning and resending it to the photovoltaic power plant; if it fits, judging whether the measured power generation curve of the active power and reactive power of the photovoltaic power plant fits the predicted power generation curve. If it cannot fit, modify the panel cleaning plan of the photovoltaic power plant; if it fits, the photovoltaic power plant performs power generation control based on the safety requirements of the power plant equipment and the planned power generation curve. Through two fitting judgments, the planned power generation curve is close to the predicted power generation curve, and the measured power generation curve is close to the predicted power generation curve, thereby improving the certainty of photovoltaic power generation control. The equipment life and equipment working performance are guaranteed, and the difficulties in power generation control of photovoltaic power plants are broken through.

The invention belongs to the technical field of airborne bus communication in an airborne avionics system, and particularly relates to a multi-type interface access unified scheduling determinacy Ethernet scheduling device. Comprising a host machine access interface module, a hardware interface access module, a standard Ethernet interface access module, a communication configuration receiving management module, a communication configuration storage and state management module, a multi-service type interface output processing module, a service priority mapping management module, an enqueue flow management module and a network data processing module. Different QoS capability integration services are provided for different interface access service characteristics, so that the timeliness of service access of each interface is effectively controlled, and the control and buffer capabilities are met; according to the invention, the Ethernet based on dynamic flexibility and high determinacy communication architecture provides distributed synchronous collaboration and time-sharing gating scheduling, so that access of multiple types of interfaces to unified transmission equipment is realized.

The invention discloses a relay, which comprises a shell, a magnetic circuit part, a contact part and a pushing part, and is characterized in that the magnetic circuit part is mounted on the shell and comprises at least two magnetic circuit units; the contact part is arranged on the shell and comprises a movable spring group, a static contact group and a load terminal; the movable spring groups and the static contact groups are arranged corresponding to the magnetic circuit unit, and each movable spring group is provided with a movable contact group corresponding to the static contact group; each movable spring group and the corresponding static contact group jointly form a switch; the movable spring group and the static contact group in each switch are respectively connected with different load terminals, and at least one load terminal is shared by at least two switches and forms a common terminal; and the pushing part comprises a pushing piece accommodated in the shell, the pushing piece and the magnetic circuit unit are correspondingly arranged, and the pushing piece is driven by the corresponding magnetic circuit part to drive the corresponding movable spring group, so that the movable contact group and the corresponding static contact group are closed or opened. By adopting the technical scheme, the occupied space is smaller than that in the prior art for realizing the functions of more than two switches.

The invention discloses a method for accessing and configuring industrial control equipment with differentiated certainty in a publishing and subscribing mode. The method comprises the following steps: a discovery server obtains initial equipment information of static equipment; the IDE requests a discovery server and obtains registered static equipment and initial equipment information of the registered static equipment; constructing device configuration information of the programmable device and the static device; the discovery server integrates all equipment configuration information and sends the information to the network manager; the network manager formulates a communication strategy for the publishing and subscribing equipment and the switch; the discovery server sends the communication strategy configuration information to all the devices; and all the devices execute device connection, Topic association and publish subscription communication according to the communication strategy configuration information. Through the method provided by the invention, the industrial control system can support flexible access and automatic configuration of equipment in the publish-subscribe mode, and the certainty of real-time information transmission and the bearing performance of non-real-time information transmission of the industrial control system in the publish-subscribe mode are improved.

The invention is suitable for the technical field of vehicle dynamics modeling and control, and provides a preview active suspension stiffness control method based on road surface grading and MAP mapping, and the method comprises the steps: collecting a road image through a vehicle-mounted visual sensor, dividing regions, and recognizing the road surface unevenness grade of each region through a convolutional neural network; obtaining the vehicle speed; and according to the current pavement grade and the vehicle speed, a vehicle speed-pavement grade-rigidity mapping MAP table generated in advance is inquired, and the target suspension rigidity is rapidly obtained and adjusted. According to the invention, the dependence on a high-precision sensor and a high-computing-power processor is reduced, and low-cost and fast-response rigidity optimization control of the preview active suspension is realized.

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.

The invention discloses a network dynamic flow scheduling method, device, equipment and product, and relates to the technical field of network scheduling, and the method comprises the steps: monitoring the change of target parameters of the equipment in real time through obtaining the state data and historical data of each piece of equipment in real time, and analyzing the behavior and flow trend of the equipment. The method comprises the following steps: calculating a Q value of each device through a Q learning algorithm to obtain an optimal Q value of each device under a current task, calculating an optimal path and a time slot allocation result of each device under the current task according to the optimal Q value, and scheduling a network dynamic flow according to the optimal path and the time slot allocation result to ensure that the path is shortest and the resource allocation is most reasonable, thereby improving the network transmission efficiency. And the risks of time delay and network congestion are reduced. The dynamic flow scheduling mechanism can flexibly adjust the flow load of each path in the network according to the real-time data and the historical trend, thereby ensuring the efficient utilization of network resources, and improving the certainty of equipment in the dynamic network.

The invention provides a processor synchronization system and electronic equipment, and relates to the field of digital integrated circuits, the processor synchronization system comprises a plurality of execution engines, each execution engine is configured to execute an instruction stream, and the instruction stream comprises a synchronization mark instruction used for indicating a dependency relationship across the execution engines; each synchronous control module is embedded in the corresponding execution engine, and each synchronous control module is configured to generate a synchronous request signal or a synchronous event signal according to the current state of the execution engine in response to the execution of the execution engine to the synchronous mark instruction; and the inter-engine synchronization module is coupled with the plurality of execution engines to receive the synchronization request signals and the synchronization event signals and return synchronization completion signals to the corresponding execution engines when the dependency relationship is detected to be met, so that all explicit state access operations can be eliminated, and the performance of the execution engines is improved. And conversion of a synchronization mechanism from software explicit scheduling to hardware implicit response is realized.

The invention discloses a power transmission network extension planning method and device considering optimal consumption of new energy, and the method comprises the following steps: determining a net load disturbance acceptable domain, and calculating the reliability cost; establishing a power transmission network expansion planning model, and determining an objective function and constraint conditions of the model; processing the power transmission network expansion planning model, and solving the model; wherein the objective function of the model is line investment cost, standby cost, reliability cost and unit operation cost minimization, the quadratic term of the line cost part can be piecewise linearized, and a dual method is adopted to convert a constraint condition uncertainty model into a deterministic model for solving; according to the method, the whole model is converted into a deterministic model, so that the calculation efficiency of the model and the robustness of a planning result are greatly improved.

This application relates to the field of integrated circuit design technology and discloses an on-chip network deadlock prevention method and system based on path reservation and credit backhaul. The core of the method lies in proactively locking virtual channel resources along the entire path via an independent reservation request packet along an adaptive route before data packet transmission. Combined with a "credit backhaul confirmation" mechanism, data packets are only allowed to be injected into the network after the source node receives an confirmation packet, thus transforming resource dependencies into unidirectional credit flow control. Simultaneously, reservation resource management is achieved by setting a distributed reservation state table in each router, and soft reservation and multi-path exploration mechanisms are introduced to improve resource utilization efficiency and path selection flexibility. This scheme fundamentally breaks the conditions for circular waiting, completely avoids deadlock, and eliminates the performance bottleneck of traditional methods when virtual channel resources are limited, achieving high determinism in data transmission, low blocking risk, and high efficiency in resource utilization.

The application relates to the field of heterogeneous bus communication and discloses a heterogeneous bus fault self-adaptive retransmission decision method and system, which solves the problem that secondary congestion and semantic fault are caused by the incapability of existing static retransmission to perceive cross-domain states. The method comprises the following steps: performing polymorphic fault fusion to output a comprehensive fault judgment signal; realizing standard scalarization and consistency checking of heterogeneous parameters through cross-domain state synchronization and a mapping table; calculating a real-time communication quality index, using clustering decision to determine an adaptive retransmission interval, number and path; performing semantic disassembly on cross-protocol domain data to build a data semantic structure tree, generating a compensation retransmission instruction and interweaving the instruction with a time sequence to issue the instruction. The application realizes a closed loop from perception to semantic compensation, improves communication reliability and can be applied to communication system equipment manufacturing.

The invention discloses a time efficiency label generation method and device and a storage medium, and relates to the technical field of logistics time efficiency, and the time efficiency label generation method comprises the steps: responding to a time efficiency label obtaining request, and determining whether the client time corresponding to the time efficiency label obtaining request is before the preset time; and if the client time is before the preset time, constructing query input based on a commodity identifier corresponding to the timeliness label acquisition request, and querying the white list data in the memory cache. When the subitems in the white list data are hit, the shipping warehouse information and the receiving place information corresponding to the timeliness label acquisition request are assembled into a key, and the precomputation state of the target route is inquired in the Redis cache based on the key assembled by the shipping warehouse information and the receiving place information. And if the pre-calculation state is normal, the next day arrival tag is used as a response of the timeliness tag acquisition request and is sent to the client. According to the method, the technical effect of high-robustness and high-certainty time-efficiency label calculation capability of the million-level QPS can be realized.

The application relates to the technical field of industrial automation, and provides a device testing method and system, an electronic device and a computer readable storage medium, the method comprises the following steps: being applied to a device testing system, the device testing system comprises a plurality of devices to be tested, each device to be tested is connected with a physical port of a switch, the switch is connected with a test server, a structured configuration file is analyzed to obtain a device mapping relationship. Based on the device mapping relationship, a plurality of virtual network interfaces are created, and a corresponding network protocol address is allocated to each virtual network interface. An independent routing table is established for each virtual network interface, and a source network protocol address of the virtual network interface is bound to the routing table. Address resolution protocol response control parameters are set for each virtual network interface. A plurality of logically isolated virtual network interfaces can be automatically created, an automatic configuration driven testing environment can be built, and the testing efficiency is improved.

The invention discloses wafer drying equipment and a system used for wafer drying, the wafer drying equipment comprises a drying static pressure cavity and a drying tunnel structure, the drying tunnel structure comprises a drying tunnel formed by two boiling wallboards with strip-shaped air inlets and two corresponding tunnel clamping plates, and the boiling wallboards are provided with strip-shaped air inlets. The drying static pressure cavity is divided into an upper air cavity and a lower air cavity by the air blocking transverse partition plate in the drying tunnel structure, so that the dry airflow entering the first air cavity above is refracted, reflected and mixed to form a positive pressure static pressure cavity, and the positive pressure dry airflow can overflow into the drying tunnel through the strip-shaped air inlets in the drying tunnel; according to the utility model, the wafer and the clamping arm in the drying tunnel are dried, and the negative pressure laminar flow of the second air cavity below is extracted, so that the surface of the wafer and the surface of the clamping arm can be subjected to negative pressure laminar flow drying, and therefore, in the wafer production process, the wafer and the clamping arm can be further rapidly dried, and the wafer production efficiency is improved.

The invention provides a method for highlighting texture features based on multi-focus images. The method comprises the following steps: step 1, collecting multi-layer focus sequence images of fiber fragments; step 2, carrying out corresponding position pixel accumulation on the acquired multi-layer focusing sequence image and then averaging to obtain an average image; 3, calculating the definition of each layer of image; 4, calculating the sum of the sharpness of each multi-layer graph interval, and finding out the optimal multi-layer graph interval with the maximum value; step 5, respectively subtracting pixels at corresponding positions of the average image from each layer of image in the multi-layer image interval, and taking absolute values to obtain a difference image sequence of each image to the average image; and step 6, adding and normalizing all the difference images to obtain a final texture enhancement image. The method has the technical effects of good texture highlighting effect, good certainty, high efficiency and good robustness for the fiber image in the microscopic imaging state, and can be used for an image preprocessing stage of a qualitative and quantitative analysis system for textile fiber types and components.

This invention provides a method for predicting the dominant frequency of blasting vibration by integrating parameter fluctuation processing and the Dream Optimization Algorithm (DOA), belonging to the field of underground engineering safety control technology. The system includes a data acquisition and uncertainty modeling module, a data preprocessing and feature construction module, a hyperparameter optimization module, and a prediction model training and result output module. The method obtains relevant parameters through on-site investigation and monitoring, and generates an extended sample set using a combination of probabilistic perturbation modeling and fuzzy triangular modeling. The data is preprocessed and features are selected. The DOA algorithm is used to globally search the hyperparameters of the Support Vector Regression (SVR) model, and the optimal hyperparameter combination is selected by combining a robustness fitness function. The SVR model is trained, and prediction results and uncertainty prediction intervals are generated. This invention can explicitly characterize the uncertainty of geological parameters, achieve efficient global optimization of hyperparameters, improve prediction accuracy, robustness, and generalization ability, and is applicable to different geological conditions and blasting scenarios. It can be extended to various blasting dynamic response prediction tasks.

The application provides a kind of multi-device parallel production test control method and device, equipment and storage medium, belong to industrial automation test technical field.The method comprises: according to the test configuration information of current batch test, the tool active test item chain table and device self-test item set commonly used to each device under test are generated;After establishing communication connection with multiple devices under test, each tool active test item is sequentially executed, and the device self-test item set is issued to each device under test to execute device self-test and report self-test result asynchronously;In response to a preset trigger event, a unified completion judgment result is obtained by executing unified completion judgment;When the current batch test meets the test end condition, the unreported self-test item of each device under test is determined according to the device self-test item set and the reported self-test item set of each device under test, and the state compensation of the test result of unreported self-test item is carried out.The embodiments of the application can improve the accuracy of multi-device parallel test process and the integrity of test result.

The invention discloses a modular mechanical arm control method, and relates to the field of mechanical arm control. According to the method, a system dynamic model of the modular mechanical arm is constructed, and then a system state equation is obtained; the uncertainty in the dynamic model is observed through a self-adaptive observation model; establishing an uncertainty performance index function; and obtaining an optimal control law # imgabs0 # triggered by an event according to the uncertainty performance index function, obtaining a derivative # imgabs1 # of the approximate performance index function by evaluating a neural network, and substituting the derivative # imgabs2 # of the approximate performance index function into # imgabs3 # in the optimal control law triggered by the event. The control precision of the modular mechanical arm is improved, and the service life of the system is prolonged.

The invention relates to a cluster distributed virtual interrupt control method, device and system. The method comprises the following steps: under the condition that a first distributed virtual interrupt controller DVIC node receives a virtual interrupt request, determining interrupt target routing information corresponding to virtual interrupt; the first DVIC node constructs a cross-chip hardware-level direct injection message according to the interrupt target routing information; and the first DVIC node sends a hardware-level direct injection message to the second DVIC node through inter-chip interconnection, and the hardware-level direct injection message directly writes a virtual interrupt into an IMSIC interrupt file of an incoming message signal interrupt controller through hardware logic by the second DVIC node. According to the invention, the cross-chip virtual interrupt delivery delay can be obviously reduced, and the system certainty is improved.

The invention relates to the technical field of data processing of multi-source data fusion, and discloses an investigation data integration analysis method and system based on multi-source data fusion. According to the scheme, a multi-source sensor is deployed, original voltage is collected, and standardization is carried out in each physical quantity range; constructing temperature, pressure and vibration three-dimensional observation and states based on a unified time index, and setting initial values; recursive prediction is carried out by using a constant preserving model; counting a multi-measuring-point variance in a static window, determining observation noise in combination with the minimum quantization step size, and calculating fusion gain; linearly updating and correcting covariance, and then carrying out dimension-by-dimension amplitude limiting according to an abnormal upper limit; carrying out space averaging on the three-dimensional results of the multiple measuring points at each sampling moment, and carrying out rollback if necessary; and a fusion sequence and a statistical report are formed in the whole cycle. According to the method, the data scale is unified, subjective parameters and computing power burden are reduced, adaptive noise modeling along with the environment is achieved, stable noise suppression and fault resistance are achieved, and continuous output and comparable analysis are guaranteed.

The present application belongs to the technical field of geological engineering monitoring, and particularly relates to a geological stability monitoring device for salt cavern energy storage, aiming to solve the problems of single monitoring dimension, existing blind area and insufficient sensitivity in identifying creep. The monitoring device is internally provided with a geological stability monitoring system, and the system comprises: a surface multi-source deformation sensing unit, a shaft deep layer strain detection unit, a microseismic global activity monitoring unit and a cavity shape sensing unit, which are used for collecting surface and deep multi-dimensional data; a geomechanics digital twin and evolution analysis unit, which constructs a mechanics model and dynamically inverts real-time data as a constraint boundary; a stability discrimination and risk early warning scheduling unit, which outputs an evaluation report based on the inversion result and triggers an early warning. Through the deep coupling of multi-dimensional full-space perception and mechanics model, the present application effectively reduces the perception blind area and improves the accuracy of salt rock creep risk prediction, thereby providing a technical guarantee for the long-term safe operation of the salt cavern energy storage power station.

The invention discloses a dual-network-port EtherCAT master station redundancy communication method and device, and an EtherCAT master station runs in a bare computer environment without an operating system, and is configured with a master station redundancy management layer, a first physical Ethernet port and a second physical Ethernet port; the method comprises the following steps: in each EtherCAT communication period, controlling a first physical Ethernet port and a second physical Ethernet port to synchronously send the same EtherCAT data frame through a master station redundancy management layer; receiving and acquiring work counter WKC values in response frames returned by the first physical Ethernet port and the second physical Ethernet port respectively; the communication link state of the EtherCAT master station is judged according to the comparison result of the sum of the WKC values returned by the first physical Ethernet port and the second physical Ethernet port and the total number of the slave stations; and when the communication link is abnormal, the communication path of the EtherCAT master station is regenerated based on the pre-stored slave station connection information.

The invention relates to a caliper body (1) in which a screw seat (5) for receiving a connecting screw (6) extends in a screw seat direction (S-S); the screw seat (5) is surrounded by a screw head support surface (9); the caliper body (1) comprises a pin seat (10) adapted to receive a pin (11) adapted to support and allow sliding of opposing brake pads (4); the one pin seat (10) extends in a first direction (P-P); the screw head support surface (9) defines a first extension (12) pointing in the direction (S-S) of the screw seat; the one pin seat (10) defines a second extension (13) pointing in the direction (P-P) of the pin seat; and the first extension part (12) is intersected with the second extension part (13).