65results about How to "Realize association" patented technology

The invention relates to a rotary inertial navigation digital twinning system and a construction method thereof. The rotary inertial navigation digital twinning system comprises a rotary inertial navigation digital twinning physical model layer, a rotary inertial navigation digital twinning geometric model layer, a multi-source information data acquisition layer, a decision control layer and a diagnosis and prediction analysis layer. Data information collection and transmission of a rotary inertial navigation system entity can be completed, association and interaction between a twin virtual body and the entity are achieved, iterative optimization of model parameters can be achieved through the decision control module, and finally prediction and evaluation of the overall operation state of the system and the performance of the digital twin inertial navigation system are achieved in the diagnosis and prediction analysis module.

The embodiment of the invention provides a fault positioning method and device based on association rules, equipment and a program product. Relates to the field of energy storage system fault diagnosis. The method comprises the following steps: acquiring a state code, a fault code and an operation parameter of the energy storage thermal management equipment; based on the state code, the fault code and the operation parameter, generating a fault rule base by adopting an association rule mining algorithm; unsupervised clustering analysis is carried out on the operation parameters, and abnormal data deviating from the standard are screened out; fusing the abnormal data with the fault rule base to generate a fault map; and based on the fault map, a fault positioning report of the energy storage thermal management equipment is output, the fault positioning report at least comprises a fault propagation path and a maintenance scheme, and the fault propagation path is a path of a causal relationship between the fault code and the abnormal mode. The method is used for achieving the effect of improving the fault positioning efficiency and accuracy.

The invention discloses a coating system and a coating method.The system comprises a statistical process control system, a manufacturing execution system and a controller; the controller is configured to generate a roll changing signal under the condition that it is detected that a winding device of the coating machine executes belt breaking operation and connects a belt to a target film roll. The statistical process control system is configured to respond to the roll changing signal, send a processing request of a film roll number to the manufacturing execution system, obtain a first film roll number of a target film roll sent by the manufacturing execution system based on the processing request, and create a first film roll list based on the first film roll number; wherein the first film roll list is used for recording production process information of the target film roll in the coating process; the manufacturing execution system is configured to determine a first film roll number of a target film roll in response to the processing request; and sending the first film roll number to the statistical process control system.

The invention discloses a power grid project database processing method and device, equipment and a storage medium. The method comprises the steps that all GIM initial data of a target power grid project and unified management of multi-version and multi-type data are acquired; extracting header information of each piece of GIM initial data, and determining an extension file corresponding to each piece of GIM initial data according to the header information; each piece of GIM initial data is stored in each data table structure; processing each data table structure according to a relational database management system technology so as to extract a unique identifier of each piece of GIM initial data; determining primary key information and foreign key information corresponding to each data table structure; and constructing a target database based on each data table structure, the unique identifier, the primary key information and the foreign key information. According to the processing method of the power grid project database provided by the embodiment of the invention, the efficiency and quality of power grid project data management can be remarkably improved, and a solid technical basis is provided for sustainable development and intelligent upgrading of power grid projects.

The invention discloses a multi-service coexistence method and device for a multi-cell scene of an electric power internet of things. The method comprises the following steps: constructing a multi-service coexistence implementation mode in the multi-cell scene; performing decision variable modeling on user association and resource allocation with coexistence of multiple services; user downlink rates and constraint conditions are defined according to decision variable modeling, and a multi-objective optimization problem about the downlink rate sum of all eMBB users of each cell is constructed; on the basis of a multi-objective optimization problem, a Pareto solution set enabling the downlink rate sum of all eMBB users of each cell to be the maximum is obtained through solving under the constraint condition, an optimal decision variable about user association and resource allocation is obtained on the basis of the Pareto solution set to serve as a load balancing solution, and multi-service coexistence deployment is achieved. According to the invention, the load balance of each cell can be ensured while the low delay and high reliability requirements of the uRLLC service are ensured, the rate sum of all cells is maximized, and the throughput of the eMBB service is improved.

The present invention relates to the field of logistics monitoring, and discloses a method, device, equipment and storage medium for generating a full-link trajectory of an order. The method obtains order data, sorting data and delivery data of all orders from a client end, a warehouse end and a courier end respectively by calling three groups of communication interfaces, extracts order numbers and waybill numbers based on the order data, sorting data and delivery data, establishes the correlation between the order number and the waybill number, and opens up the entire link of the order based on the sorted correlation to form a full-process monitoring dashboard, which can help supply chain business personnel effectively monitor abnormal data, analyze business bottlenecks and improve operational efficiency.

The invention discloses a two-dimensional and three-dimensional integrated LED display method, which comprises the following steps of: 1, acquiring a two-dimensional map and a three-dimensional map, dividing the two-dimensional map and the three-dimensional map into two-dimensional sub-maps and three-dimensional sub-maps according to regions, and establishing a mapping relationship between the two-dimensional sub-maps and the three-dimensional sub-maps; step 2, inputting a switching instruction of the two-dimensional map and the three-dimensional map through the LED screen, wherein the switching instruction comprises full switching and regional switching; step 3, performing two-dimensional and three-dimensional full-switching display; and 4, switching display of the two-dimensional part and the three-dimensional part. The device is simple in structure and reasonable in design, realizes association of a three-dimensional map and a two-dimensional map through angular points and central points, judges display ranges of two-dimensional space data and three-dimensional space data through contour point sets and the central points, realizes two-dimensional and three-dimensional synchronous display and two-dimensional and three-dimensional mutual positioning of positions, realizes verification of two-dimensional and three-dimensional space data switching, and is high in practicability. And the consistency of two-dimensional and three-dimensional space data is ensured.

The embodiment of the invention discloses a data association method and device, a server and a storage medium, and the method comprises the steps: obtaining two collection data, selecting one collection data as reference data, and taking the other collection data as to-be-associated data; obtaining three-dimensional point cloud data corresponding to the image feature points in the reference data by using a three-dimensional reconstruction technology; acquiring a first reference image and a first associated image; determining matched image feature points between the first reference image and the first associated image and a target pose of the first associated image; obtaining a coarse pose of the second associated image; determining matched image feature points between the second associated image and the second reference image; determining a target pose of the second associated image; and taking the second associated image as a new first associated image, taking the unprocessed associated image as a new second associated image, and returning to the step of obtaining the coarse pose of the second associated image for continuous execution. According to the technical scheme, the association of the image feature points can be efficiently and simply realized.

The present application relates to the technical field of environmental monitoring and pollution tracing, and discloses a basin-scale perfluorinated compound tracing method and system based on artificial intelligence, which integrates multi-source data in a basin to construct a unified spatial and temporal granularity basin multi-source data cube, identifies perfluorinated compound structures through a virtual spectrum diagram enhanced deep learning model, simulates pollutant spatial and temporal concentration distribution by combining a graph neural network of a physical mechanism, and then inversely propagates and matches source characteristic fingerprints to invert potential emission source contribution, outputs a pollution source contribution heat map and a priority control enterprise list, solves the core problems of difficulty in joint analysis of multi-source data, difficulty in identification of unknown compounds and difficulty in quantitative determination of multi-source superposition contribution in basin-scale perfluorinated compound tracing, and provides support for precise pollution control.

Embodiments of the present application provide a kind of based on graph's alarm event determination method, device, electronic equipment and storage medium, method includes: the security log is converted into the target graph information corresponding to the security log;Based on the target graph information and the graph rule configuration information obtained in advance, generate first graph query statement;The graph rule configuration information at least includes: the rule for generating the first graph query statement;The graph information matching operation is carried out between the first graph query statement and the graph information in graph database;The graph database is used to store at least one kind of graph information;According to the graph information matched to the first graph query statement, generate alarm event.The embodiments of the present application realize the association of security log before and after and the association between multi-source security log by graph database, can effectively reduce false alarm rate;In addition, based on the high efficient query ability of the association relationship of graph database itself, the low time and low resource consumption of the association analysis of multiple security logs can be realized.

The invention discloses an automatic measurement and optimization method for impact prompt drop of a seamless steel tube hot continuous rolling mill, and the method comprises the steps: carrying out a plurality of rolling tests for a steel tube of one specification, reading the actual speed of a motor from a steel biting point to a set ending time point at a preset time interval during each rolling test, and calculating the actual speed of the motor; the minimum actual speed is selected; calculating a speed average value of the plurality of minimum actual speeds and a difference value between the speed average value and a given process speed of the motor; and taking the difference value as a speed drop compensation value corresponding to the steel pipe of the current specification. The optimization method comprises the steps of determining a speed drop compensation value corresponding to a steel pipe according to the specification of the steel pipe; before steel biting, the speed obtained after the given process speed is superposed with the speed drop compensation value serves as the motor running speed, and after steel biting, the given process speed serves as the motor running speed. Correlation between the steel pipe specification information and the prompt drop compensation value can be achieved, accurate compensation during rolling of steel pipes of different specifications is guaranteed, and the rolling quality is improved.

The invention provides an object pose estimation method. The object pose estimation method comprises the steps of obtaining object structure features of a target object, hand pose features of a robot hand and contact area features of the hand in contact with the target object; fusing the object structure feature and the contact area feature to obtain a first fusion feature; fusing the hand posture feature with the contact area feature to obtain a second fused feature; fusing the first fusion feature and the second fusion feature to obtain a global fusion feature; and performing pose estimation based on the global fusion features to obtain a target pose of the target object. According to the embodiment of the invention, the accuracy of object pose estimation can be improved.

The invention provides an optical cable design intelligent drawing system and method based on fusion of multi-source acquisition data. Through combination of the large model processing layer and the core function layer, automatic analysis, association and compliance detection of the multi-source collection data are realized, the work of manually completing verification and compliance detection of the multi-source collection data in the prior art is replaced, and the manual workload is greatly reduced, so that the multi-source collection data verification and compliance detection can be realized in a complex scene, and the multi-source collection data verification and compliance detection efficiency is improved. Automatic processing can be completed based on the combination of the large model processing layer and the core function layer of the system, and the technical effect of improving the completion efficiency and precision is generated due to the reduction of the manual workload.

The present invention discloses a processing method, device, equipment and storage medium for a power grid engineering database, wherein the method includes obtaining all GIM initial data of a target power grid engineering and unified management of multi-version and multi-type data; extracting header information of each GIM initial data, and determining the extension file corresponding to each GIM initial data according to the header information; storing each GIM initial data in each data table structure; processing each data table structure according to relational database management system technology to extract a unique identifier for each GIM initial data; determining the primary key information and foreign key information corresponding to each data table structure; and constructing a target database based on each data table structure, unique identifier, primary key information and foreign key information. The processing method for a power grid engineering database provided by an embodiment of the present invention can significantly improve the efficiency and quality of power grid engineering data management, and provide a solid technical foundation for the sustainable development and intelligent upgrading of power grid engineering.

The application provides a service processing method, device and apparatus, and a storage medium. The method comprises: a terminal reading device obtaining wireless resources configured by a RAN network element and an A-IoT service session identifier; determining wireless resources corresponding to the A-IoT service session identifier according to an A-IoT service session identifier carried in received A-IoT service request information; and performing a service operation related to the A-IoT service session identifier by using the wireless resources.

The utility model discloses a YB55 cigarette packet code scanning window which comprises a glass window and an arc-shaped plate, the arc-shaped plate is an aluminum alloy arc-shaped plate, one end of the arc-shaped plate is provided with a tilted connecting plate, and the connecting plate is provided with a bolt hole; a notch is formed in the other end of the arc-shaped plate, the glass window is embedded in the notch, and the glass window is transparent organic glass with the radian consistent with that of the arc-shaped plate; the device is installed on a cigarette packet conveying side plate, on the basis that production operation of a YB55 small box transparent paper packaging machine is not affected, cigarette packets conveyed by an equipment transfer wheel are subjected to code scanning through a code scanning window, code scanning of the cigarette packets in the conveying process is achieved, and association of the cigarette packets and strip packet two-dimensional codes is achieved.

The invention relates to the technical field of situation awareness, and discloses a power grid communication network security situation awareness method, which comprises the following steps of: performing time sequence normalization processing on multi-source heterogeneous security logs and traffic data of a power grid network to obtain a multi-source security data set; performing power protocol association analysis on the multi-source security data set to obtain a security event sequence; constructing a power grid attack knowledge graph; performing association matching on the security event sequence and the power grid attack knowledge graph, and performing adaptive sensitivity weight evaluation on the operation state information of the power grid network to obtain a threat judgment result and confidence; carrying out situation analysis and quantification on the asset importance and the real-time load level of the power grid network to obtain a comprehensive security situation index; mapping the comprehensive security situation index to a preset early warning strategy response library to obtain an early warning signal and a protection strategy; according to the invention, the efficiency of power grid communication network security situation awareness can be improved.

The present invention discloses a method and device for expressing the association between ocean dynamic evolution and ENSO events. Based on object-oriented technology, an object expression of an abnormal ocean change process object is established, including a process object ID, process object attribute information, process object spatial information and process object time information; based on object-oriented technology, an ENSO object expression of an ENSO event is established, including an event object ID, event attribute information and event time information; based on a preset temporal topological relationship discrimination rule, a target temporal topological relationship between the abnormal ocean change process object and the ENSO object is established; based on the target temporal topological relationship, an association expression between the abnormal ocean change process object and the ENSO object is established. In the above process, an association expression between the abnormal ocean change process object and the ENSO object is established based on the target temporal topological relationship, and the association between the abnormal ocean change process object and the ENSO object is realized.

The present application discloses a data association method, an electronic device, and a computer-readable storage medium, the data association method comprising: associating elements belonging to the same subject in an original database to obtain an element association library, the element association library containing multiple element association tables of different subjects; selecting a first element to be associated and a second element to be associated from all elements in the element association library to form an element group to be associated; based on the element group to be associated, selecting a first element association table and a second element association table from the element association library; based on the first element association table and the second element association table, calculating the association confidence of the first element to be associated and the second element to be associated. In the above manner, the present application can establish the association of the element group to be associated and obtain the corresponding association confidence.

Embodiments of the present application disclose a method and device for constructing a literature knowledge base, electronic equipment and a storage medium, and relate to the field of knowledge graphs. The method comprises: determining at least one piece of literature; obtaining multi-modal data and metadata of each piece of literature; the multi-modal data comprises image data and text data; obtaining an image feature vector and a text feature vector of the at least one piece of literature based on the multi-modal data of the at least one piece of literature; constructing a literature knowledge graph based on the metadata, the image feature vector and the text feature vector of the at least one piece of literature; and constructing the literature knowledge base based on the literature knowledge graph. The embodiments of the present application associate the multi-modal data of different literature by constructing a literature knowledge graph, and quickly locate the multi-modal data associated therewith through a literature identifier, thereby achieving efficient literature management and retrieval.

The utility model provides a monitoring and alarming system for old people, and relates to the technical field of monitoring and alarming for old people. The system comprises a plurality of event areas, wherein each event area is provided with at least three Bluetooth beacons and cameras; the wearable device is used for collecting motion state data of the elderly and receiving signal intensity information of the Bluetooth beacon through the Bluetooth module; the beacon host determines an event area where the wearable device is located according to the signal intensity information; the control host is used for judging whether the old person falls down or not according to the motion data, controlling the alarm circuit to send alarm information to the user terminal, and controlling the camera in the corresponding area to carry out video recording according to the event area determined by the beacon host. The system solves the problems that in the prior art, an alarm triggering mechanism is unreliable, the false alarm rate is high, the state of the elderly cannot be accurately judged, linkage with the activity area is lacked, and early warning for the lost state is lacked, and the safety guarantee of the home life of the elderly is improved.

The invention provides a farmland ecological meteorological monitoring method and device, and the method comprises the steps: constructing a rainfall risk time sequence model based on historical daily scale air temperature and rainfall data; the current spring effective accumulated temperature is obtained and compared with the historical same period, and a climate anomaly factor is obtained; on the basis of the abnormal factors and the current observation sequence, the most probable hidden state at the current moment is determined through the forward probability, rolling prediction is conducted through the corrected transfer matrix from the current moment to the prediction moment, and the rainfall risk probability from the current moment to the prediction moment is obtained; comparing the rainfall risk probability with the soil moisture bearing capacity of the farmland to be monitored, and obtaining the risk probability actually borne by the farmland ecosystem as a first risk probability; based on real-time soil conditions and land parcel characteristics, estimating the probability of ecological risks caused by farming adjustment behaviors; a risk driving value is obtained based on the first risk probability, an ecological cost value is obtained based on the ecological risk probability, and when the risk driving value is larger than the ecological cost value, a final farming decision is generated, and the farming decision behavior is dynamically adjusted based on the current real-time climate through deep processing and association of the farmland ecological meteorological data.

This application discloses a target detection method, device, and storage medium. The target detection method includes: acquiring an image to be detected, and detecting the image to obtain multiple face regions and multiple human body regions in the image to be detected, as well as a set of personnel key points corresponding to each human body region; further, extracting a set of face key points corresponding to each human body region from the set of personnel key points corresponding to each human body region, and associating the human body regions with the face regions using the positional relationship between the set of face key points of each human body region and the multiple face regions to obtain at least one first association relationship. Through the above method, this application realizes the association of faces and human bodies using key points.

The present invention provides a remote I / O module of a PLC controller and a configuration method thereof. The remote I / O module of the PLC controller includes an MCU chip, a device-side interface, a controller interface, and a non-volatile memory; the device-side interface and the controller interface are respectively connected to the MCU chip through corresponding circuits, and the non-volatile memory is also connected to the MCU chip. Thus, a single I / O module can meet the interface requirements of any type of sensor and any number. In the configuration method, the configuration configuration method realizes the recognition and transmission of sensor signals by the I / O module under different sensor combinations. The real-time configuration method is based on the remote or on-site programming of the MCU chip; thereby, the configuration file and configuration program therein are updated according to the specific sensor, and when the sensor or its configuration parameters are changed, the update flexibility of the PLC control system is increased.

The invention discloses a network security integration and linkage platform, which is characterized in that a sensor detects original events of each device or system and sends the original events to an event management module, and the event management module summarizes all the original events, extracts information of the original events and forms an event management list; the rule management module extracts information of original events through the event management list, performs logic association judgment according to a preset rule, associates the original events to form an associated event combination and outputs the associated event combination to form a platform event, and the decision management module extracts information of the platform event and outputs the information of the platform event. And establishing a mapping relationship between the platform event and the actuator to be acted according to a preset decision. The invention provides a network security integration and linkage platform, which not only can improve the overall security level of an enterprise, but also can promote the effective integration of security resources, reduce the operation cost and provide more stable and reliable security guarantee for the enterprise.

The embodiment of the invention provides a time synchronization method, device and equipment for transmitting a weak current signal and a medium, and the method comprises the steps: obtaining time information issued by a clock source in a time synchronization device through a task management module, synchronously transmitting the time information to a time synchronization module, receiving the time information by the time synchronization module, and transmitting the time information to the time synchronization module; a coding sequence generated according to a preset coding rule is sent to the light source control module; the coding sequence is converted into an optical analog signal with time information through the light source control module, and after the optical analog signal is sent to the optical fiber slip ring sub-device, the optical analog signal is polled and transmitted to the optical fiber terminal device for modulation through the optical fiber slip ring sub-device to generate the optical analog signal. The modulated optical analog signal is transmitted back to the photoelectric signal processing sub-device; and the photoelectric signal processing sub-device analyzes and calculates the modulated optical analog signal to obtain an analog current signal with time information, and a sensing data value with time information is obtained on the basis of the analog current signal.

This application provides a method and system for intelligent identification of minerals in weak information areas based on transfer learning, relating to the field of transfer learning technology. First, a source domain mineral sample set and a set of mineral samples to be identified in weak information areas are obtained. Then, geological correlation elements between the two are extracted and a cross-domain feature mapping is constructed. The original features of the minerals in the weak information areas are subjected to transfer adaptation processing to generate intermediate features of the minerals in the weak information areas that are adapted to the feature dimensions of the source domain. Next, sparse feature dimensions in the intermediate features are identified, and the corresponding feature distribution patterns of the source domain are used to complete the features, generating completed features. The completed features are input into a pre-trained transfer learning identification model for cross-domain identification, generating preliminary identification results. Finally, source domain samples with similar geological correlation elements are selected to determine the transfer deviation, correct the preliminary identification results, and generate the final identification results, effectively improving the accuracy and reliability of mineral identification in weak information areas.

The invention discloses an association method for variable digital authentication information of a variable holographic material and an anti-counterfeiting printed matter, which belongs to the technical field of anti-counterfeiting, and comprises the following main steps: S1, generating coded graphic information; s2, defining the variable holographic material as a group of coded graphic information carriers; s3, the split codes are given to all the variable holographic materials according to the position information; s4, according to the corresponding relation with a group of coding graphic information carriers, generating coding identification information from the position information of the common anti-counterfeiting codes in the coding identification information carriers, and recording the coding identification information on the anti-counterfeiting printed matter; s5, combining the group of coding graphic information carriers and the group of coding identification information carriers according to a corresponding relation to obtain a group of anti-counterfeiting code labels; s6, associating the code on the variable holographic material to the common anti-counterfeiting code according to the corresponding position relationship between the variable holographic material and the common anti-counterfeiting code; s7, cutting a hollow area of the anti-counterfeiting code label; the invention aims to improve the anti-counterfeiting reliability and stability and reduce the production cost and the production complexity.

The invention relates to a distilled grain distillation and airing integrated system, which comprises a tank body part, a distillation part and an airing part, and is characterized in that two branch openings are formed at the tail end of a main pipe extending out of the tank body part, so as to be respectively connected with a wine steam branch pipe of the distillation part and a negative pressure branch pipe of the airing part; a control unit of the integrated system controls the operation condition of a tank body part and changes the opening and closing states of valves assembled on a wine steam branch pipe and a negative pressure branch pipe so as to realize the switching of the integrated system between a distillation mode and a vacuum spreading and airing mode in a manner of communicating or isolating a pipeline passage of a distillation part and a spreading and airing part, the switching opportunity of the two modes is determined by the control unit which judges that the distillation process enters the end point on the basis of numerical values measured by a thermometer arranged in the header pipe and / or an alcohol meter arranged in the distillation part. According to the invention, the distilled grain distillation device and the spreading and airing device are integrally designed, so that the integration of distillation, spreading and airing wine-making production equipment is realized, the occupied area of the equipment is saved, and the utilization rate of the equipment is improved.

The application discloses a song management method and device and a storage medium, and relates to the technical field of computers and the Internet. The method comprises the following steps: extracting an audio voiceprint feature of a to-be-processed song audio, wherein the audio voiceprint feature of the song audio is used for indicating the sound characteristics of the song audio; determining a candidate singer matched with the audio voiceprint feature of the song audio from a plurality of candidate singers based on voiceprint management information, so as to obtain a first associated singer of the song audio, wherein the voiceprint management information is used for indicating the sound characteristics of the plurality of candidate singers; and establishing an association between the song audio and the first associated singer, so as to obtain singer association information of the song audio, wherein the singer association information is used for indicating the first associated singer associated with the song audio. The method effectively improves the accuracy and efficiency of the association between the song audio and the singer.