24 results about "Position analysis" patented technology

The invention discloses a strategic recommendation method and device, and relates to the technical field of intelligence analysis tools, the method is applied to a computer device capable of calling a knowledge base and a large model, and the method comprises the following steps: retrieving an obtained text fragment based on an input request of a user; based on the input request, calling a large model to carry out site analysis on the input request to obtain a site analysis result; based on the input request, the text fragment and the standing analysis result, calling the large model to combine with the text fragment to perform qualitative analysis on the standing analysis result, and outputting a qualitative analysis result; based on the input request and the qualitative analysis result of the dictionary format, determining an optimal feature vector of the dictionary format by using an analytic hierarchy process; and on the basis of the optimal feature vector, four-quadrant analysis data of each strategy is calculated by using a four-quadrant analysis method, and then optimal strategy pushing is completed. According to the method, qualitative analysis, an analytic hierarchy process and a four-quadrant analysis method are combined, development strategic intelligence analysis is carried out according to requirements input by a user, and strategic suggestions are generated.

The invention discloses a batch geographic position analysis method, a position recommendation system, a position recommendation device and a medium, and the method specifically comprises the steps: obtaining all interest sites of all user targets in a current batch, removing repeated items in the interest sites, and obtaining a unique interest set composed of a plurality of unique sites; establishing a reverse index between the unique place and the user target associated with the unique place; obtaining the closeness degree of each unique place and the to-be-recommended position; based on the reverse index, backfilling the closeness degree to the user target associated with the corresponding unique place; and comparing the degree of closeness obtained by backfilling each user target, and determining the optimal location of each user target according to the comparison result. According to the batch geographic position analysis method provided by the embodiment of the invention, the data processing complexity of batch geographic position analysis in the data processing process is reduced, the number of repeated calculations is remarkably reduced, and the throughput and scalability of the system are greatly improved.

The invention discloses a problem positioning analysis method and device, equipment and a medium, and relates to the field of cloud storage. Comprising the following steps: constructing a knowledge graph based on data of a plurality of databases in a cloud storage system; based on the knowledge graph, training a to-be-trained graph attention network to obtain a trained graph attention network, the trained graph attention network carrying knowledge in the knowledge graph; in the testing process of the cloud storage system, determining a target task with a failed task, and obtaining task information corresponding to the target task; and inputting task information corresponding to the target task into the trained graph attention network to obtain a failure reason of the target task. By means of the method, the efficiency of positioning personnel in the aspect of problem positioning can be remarkably improved, and then the testing efficiency and accuracy are improved.

The invention provides a measuring and adjusting method for installing a steel structure stand column group. The measuring and adjusting method comprises the following steps that S1, a measuring and positioning tool is manufactured according to the shape of a stand column; s2, measurement analysis and adjustment work: establishing an upper elevation datum plane and a lower elevation datum plane; an upper measuring and positioning tool and a lower measuring and positioning tool are arranged on the stand column in the same direction on the side surface of the stand column; sequentially measuring the prisms on the two measurement positioning tools on each stand column through a total station to obtain three-dimensional coordinates of working points of the prisms; according to the three-dimensional coordinates, the perpendicularity and the inclination direction of the stand column are calculated, whether the perpendicularity of the stand column meets the requirement or not is analyzed, if not, installation of the stand column is adjusted according to the perpendicularity and the inclination direction of the stand column, and then measurement and adjustment are conducted again; and S3, plane position analysis and rechecking: simultaneously installing a measuring and positioning tool on a plurality of upright posts, enabling the measuring and positioning tools to be positioned on the same elevation plane, installing a prism, measuring by using a total station to obtain a three-dimensional coordinate of a prism working point, and calculating and verifying the horizontal distance of the upright posts.

The application discloses a locomotive crossing judgment system and implementation method, and belongs to the technical field of rail transit operation safety. The system comprises a value-keeping filtering unit, a position analysis unit, a distance calculation unit, a region judgment unit, a direction identification unit, an interval matching unit and a dynamic scanning unit. Through real-time analysis of locomotive positioning data, combined with line direction and region attribute, spatial interval matching and direction shunting are carried out, the current running direction is identified, and based on the dynamic scanning mechanism, subsequent crossings are traversed, and a judgment function is called to realize crossing state confirmation. The system introduces a logic fuse mechanism to improve the discrimination stability under abnormal scenes. Compared with the traditional scheme relying on fixed signals or manual observation, the system has good real-time performance, adaptability and engineering deployment efficiency, and can be widely applied to railway and urban rail transit safety auxiliary judgment scenes.

The application discloses a context knowledge construction method and device based on industrial point position analysis, equipment and a storage medium, relates to the technical field of artificial intelligence, and comprises the following steps: performing alias normalization on the field names of an industrial field original point position table, obtaining standardized point position data, arranging semantic attributes, generating point position audit data after association, identifying the correlation between points, generating relationship audit data, and storing the relationship audit data in a point position knowledge base and a relationship knowledge table respectively; receiving a search request containing a factory identifier and a point position identifier to be analyzed, searching for corresponding point position knowledge based on the factory identifier, and obtaining an input point position set; searching for associated records in the relationship knowledge table, completing associated point position knowledge, and obtaining an associated point position set; and combining the input point position, the associated point position and the relationship record, generating structured context containing semantic information and analysis prompts, and using the structured context for industrial data analysis, so that the efficiency of constructing context knowledge is improved.

The application provides a system and method for classifying and opening / closing vehicle information collection equipment according to vehicle position, which comprises a positioning module, a position analysis module, a storage module and a vehicle control module; the positioning module obtains current position information of the vehicle through a satellite system such as Beidou / GPS, and transmits the position information to the position analysis module; the storage module stores a position database, which contains sensitive restriction levels set for different locations; the vehicle control module is used for controlling the information collection equipment of the vehicle; the position analysis module matches the position information with the content of the position database to find out the sensitive restriction level corresponding to the position information; and the control module controls the running state of the information collection equipment of the vehicle according to the sensitive restriction level, so that different sensitive level settings are realized at different locations, and the vehicle is ensured not to violate the requirements of regulations.

The application relates to the technical field of intelligent precious metal warehouse management, in particular to a gold bar warehouse-in and warehouse-out management method, system, device and storage medium. The method comprises the following steps: acquiring the shape and pattern features of the warehouse-in gold bar through scanning, inputting a database of pre-stored gold bar standard features, categories and counter number mapping relationship, matching and searching, and controlling the corresponding counter to be opened to complete the warehouse-in; receiving a warehouse-out request, confirming the category of the gold bar to be taken out through manual input or image scanning, searching for the corresponding un-locked warehouse-out counter, screening the counter closest to the current scanning area through position analysis, and controlling the counter to be opened to complete the warehouse-out. The application realizes the automatic and accurate association of the gold bar and the counter, reduces the manual error, improves the warehouse-in and warehouse-out efficiency, avoids the storage disorder and inconvenience in taking, relies on the whole-process data management and control to guarantee the management standard, safety and traceability, and adapts to the strict requirements of high-value gold bar management.

The invention relates to the technical field of cable data setting, and discloses a pressure-resistant coaxial cable torque threshold setting method based on big data, which comprises the following steps: acquiring use information of a target cable, correspondingly performing general analysis and special analysis according to whether the use information of the target cable exists, marking the target cable according to an analysis conclusion, and setting a pressure-resistant coaxial cable torque threshold according to the marked target cable. According to the pressure-resistant coaxial cable torque threshold setting method based on the big data, through geographic information coupling, damage tolerance design and a three-level threshold system, the cable failure risk is reduced, the safety is improved, 'one-step 'scrapping is avoided, degradation recycling of I-III level damaged cables is achieved, the operation and maintenance cost is saved, and on the basis of the big data and distributed monitoring, the pressure-resistant coaxial cable torque threshold setting method based on the big data has good application prospects. Three-stage progression of intelligent decision making, unified analysis, division analysis and position analysis is realized, fine management is realized, time decay correction and fatigue life prediction are introduced, the whole process of cable delivery to retirement is covered, and full life cycle management is realized.

The invention discloses a municipal facility clustering management method and system based on a smart city, and relates to the technical field of data analysis, and the method comprises the steps: carrying out the position analysis processing of a municipal facility distribution map, and determining a municipal facility centralized region; and carrying out position determination processing on the municipal facility centralized area, and determining the management center position of the municipal facilities. The method comprises the following steps: performing coordinate analysis on a municipal facility distribution map to determine coordinate data of each municipal facility, performing distance comparison on the coordinate data of each municipal facility to determine a municipal facility concentration area, performing position analysis on the municipal facility concentration area to determine a management center position of the municipal facilities, and finally, determining the management center position of the municipal facilities. According to the method, the communication network is constructed for each municipal facility according to the management center position of the municipal facilities, the clustering management of all the municipal facilities is realized at the minimum laying cost through the management center position of the municipal facilities, and the management cost of the municipal facilities is reduced.

The invention relates to the technical field of computer vision, in particular to a video analysis-based high-altitude operation safety belt correct use state identification method. According to the method, the coordinate change of the body of the operator and each key position of the safety belt in the continuous video frame is captured, the dynamic space-time correlation between the two is established, and the complex motion mode of the operator is classified and identified according to the speed and direction change, so that the method is not limited to static posture and position analysis; according to the method, whether effective contact is formed between a body part and a safety belt key point or not is accurately judged by utilizing the space distance difference and the motion direction consistency between the body part and the safety belt key point, and the connection stability is quantified by calculating the space relation fluctuation amplitude of a contact area in continuous time, so that whether the safety belt is in a reliable closed state or not can be accurately judged; and finally, the high reliability and accuracy of the identification conclusion in the dynamic operation environment are ensured by combining with the continuous state judgment result in the time sequence.

The invention discloses a method and system for predicting the service life of a steel structure anticorrosive coating based on data analysis, and relates to the technical field of data analysis processing, comprising the steps of performing position analysis processing on geographic information of a position where a steel structure is located, and determining a layering standard of the steel structure. According to the method, the steel structure installed in seawater is layered according to the geographic information of the position of the steel structure, then the thicknesses of the steel structure anticorrosive coatings with different depths are calculated, the corrosion speeds of the steel structure anticorrosive coatings with different depths are determined, and finally the corrosion speed of the steel structure anticorrosive coatings with different depths is calculated. The real-time thickness of the steel structure anti-corrosion coating is calculated according to the corrosion speed of the steel structure anti-corrosion coating, the remaining service life of the steel structures with different depths is obtained, the remaining service life of the steel structures can be recorded in real time, when the remaining service life of the steel structures is too short, the steel structures can be thickened in time, and the service life of the steel structures is prolonged. And seawater is prevented from corroding the steel structure, the service life of the steel structure is prolonged, and meanwhile, the risk of collapse of a steel structure supporting object is reduced.

The invention relates to a multi-mode switching monitoring system based on level analysis, and the system comprises a damper which is disposed at the output end of a motor, is located between the motor and a load, and outputs damping to change the load; the data monitoring module is used for acquiring parameters during operation of the motor according to a passive monitoring mode or an active monitoring mode; the analysis module is used for carrying out feature extraction on the motor operation parameters, carrying out anomaly comparison, matching and executing corresponding analysis schemes in a chain analysis strategy according to a preset selection strategy, and matching a next analysis scheme based on a comparison result of a previous analysis scheme; the simulation module is used for reproducing and obtaining the reference parameters in the analysis scheme, the obtained reference parameter waveform serves as the comparison basis of abnormality judgment, and the abnormality type of the motor is accurately recognized through cooperation of damper adjustment, multi-mode monitoring and a progressive analysis scheme.

The application relates to the field of data detection and analysis, in particular to a bus encoder detection method and system, electronic equipment and a storage medium. The method comprises the following steps: obtaining a target communication data protocol package between a bus encoder and a servo driver, and adding the target communication data protocol package to a listening protocol package array; when the number of protocol packages in the listening protocol package array meets a preset number, sending the protocol packages in the listening protocol package array to a to-be-analyzed protocol package array; performing position analysis on the protocol packages in the to-be-analyzed protocol package array, and obtaining target position information corresponding to each protocol package; calculating a relative position change amount of adjacent positions according to a plurality of target position information; and based on the plurality of target position information, drawing a first curve for display, and according to the relative position change amount, drawing a second curve for display. The application can quantize the jitter range of the real-time relative position of the bus encoder, so as to ensure the production consistency of the bus encoder.

The invention relates to the field of hydroelectric generating set monitoring, in particular to a real-time inversion method and device for a digital shafting attitude of a hydroelectric generating set. According to the method, the sensors are arranged on the shafting key section corresponding to the digital model, and the data are synchronously acquired, so that the limitation of traditional single-point or local monitoring is broken through, the multi-position dynamic characteristics of the shafting can be covered, and the problem of position analysis limitation in the prior art is solved. And secondly, the original throw data is subjected to targeted filtering and noise suppression processing, so that null drift and power frequency interference are effectively filtered out, the data precision is improved, and the defect of low precision in the prior art is solved. And finally, on the basis of the purified throw data, the axis and cross section attitude is solved through a fitting or interpolation method, full-height shafting attitude parameters can be directly obtained, complex operation is not needed, the real-time performance of inversion is guaranteed, meanwhile, the comprehensive inversion capability of complex dynamic attitudes is also enhanced through combined solving of multi-section data, and the method is suitable for large-scale popularization and application. The problems of insufficient real-time performance and limited inversion capability in the prior art are solved.

The present invention provides a sensor installation position analysis method and a sensor installation position analysis program for more efficiently monitoring and managing the state of an object requiring monitoring or the like, such as equipment and machinery. A sensor installation position analysis method according to one aspect of the present invention comprises: a step for recording workpiece data, jig and tool data, and machining condition data; a step for acquiring state value data on the basis of the workpiece data, the jig and tool data, and the machining condition data; a step for recording reference value data; and a step for acquiring correlation coefficient data and intensity coefficient data on the basis of the reference value data and the state value data.

The present application relates to a multi-mode switching monitoring system based on gear analysis, comprising: a damper mounted on the output end of the motor and located between the motor and the load, the damper outputs damping to change the load; a data monitoring module obtains the parameters of the motor during operation according to passive monitoring mode or active monitoring mode; an analysis module extracts features from the motor operating parameters and performs abnormal comparison, matches and executes the corresponding analysis scheme in the interlocking analysis strategy according to the preset selected strategy, and the analysis module matches the next analysis scheme based on the comparison result of the previous analysis scheme; a simulation module is used for reproducing the reference parameters in the analysis scheme to obtain the reference parameter waveform as the comparison basis for abnormal judgment, and the present application accurately identifies the abnormal type of the motor through the cooperation of damper adjustment, multi-mode monitoring and progressive analysis scheme.

The application discloses a batch geographic position analysis method, a position recommendation system, a device and a medium, and specifically comprises the following steps: obtaining all interest places of all user targets in a current batch and removing the duplicates to obtain a unique interest set composed of a plurality of unique places; establishing an inverted index between the unique places and the user targets associated with the unique places; obtaining the proximity of each unique place to a position to be recommended; based on the inverted index, backfilling the proximity to the corresponding user targets associated with the unique places; comparing the proximity obtained by backfilling each user target, and determining the optimal place of each user target according to the comparison result. The batch geographic position analysis method provided in the embodiment of the application reduces the data processing complexity in the data processing process of batch geographic position analysis, significantly reduces the number of repeated calculations, and greatly improves the throughput and scalability of the system.

The invention discloses a locomotive crossing judgment system and an implementation method, and belongs to the technical field of rail transit operation safety. The system comprises a guarding filtering unit, a position analysis unit, a distance calculation unit, a region judgment unit, a direction identification unit, an interval matching unit and a dynamic scanning unit, spatial interval matching and direction shunting are carried out by analyzing locomotive positioning data in real time and combining a line direction and region attributes, the current running direction is identified, and the locomotive positioning data is obtained. And traversing a subsequent crossing based on a dynamic scanning mechanism, and calling a judgment function to realize crossing state confirmation. A logic fusing mechanism is introduced into the system, and the judgment stability in an abnormal scene is improved. Compared with a traditional scheme depending on fixed signals or manual observation, the system has good real-time performance, adaptability and engineering deployment efficiency, and can be widely applied to railway and urban rail transit safety auxiliary judgment scenes.

The invention relates to an application testing method and device, electronic equipment and a storage medium, and relates to the technical field of computers.The application testing method comprises the steps that under the condition that an application testing instruction for a target testing application is detected, a current application display page of the target testing application is obtained, the first test attribute information comprises first identification indication information corresponding to the first test control and first operation indication information corresponding to the first test control; based on the first identification indication information and the current application display page, performing control region position analysis on the first test control to obtain first position indication information corresponding to the first test control; generating a first control operation instruction corresponding to the first test control based on the first position indication information and the first operation indication information; and based on the first control operation instruction, controlling the target test application to execute a first business operation corresponding to the first operation indication information. By utilizing the embodiment of the invention, the test of a complex scene can be realized, and the application test efficiency can be improved.

The invention relates to the technical field of ESG multi-dimensional data management, in particular to an ESG multi-dimensional data visual query management method and system, and the method comprises the steps: obtaining query record data; and according to the query record data, determining a query node, a key vocabulary set, an input cursor position and query confirmation data, and according to a node association relationship, constructing a visual model to obtain a data association model. And comprehensively analyzing the keyword set, the input cursor position and the query confirmation data to obtain a node query rule. And binding the node query rule with the data association model to obtain a data query model. And collecting a current query person, a data query node and query input data. And screening the data query model to obtain an adaptive query model. And importing the query input data into the adaptive query model for keyword and cursor position analysis to obtain a query data sequence. According to the method, the application query efficiency of the ESG multi-dimensional data is improved.

The application relates to the technical field of device position analysis, and discloses a sensor arrangement method of a double-channel encoder, which comprises the following steps: avoiding arrangement through the axisymmetric thermal arrangement of a high-thermal-conductivity integrated metal support combined with a gravity deposition area, eliminating the differential response of double sensors under temperature and dust coupling disturbance, ensuring the synchronization of double-channel signals and the stability of a phase reference, breaking through the limitation of traditional trial and error to realize global optimization of arrangement parameters through virtual traversal optimization driven by digital twinning and physical accurate mapping, realizing early warning and dynamic optimization and regulation of faults in the whole life cycle through an online monitoring and predictive maintenance closed loop.

The invention discloses an event response time measuring method based on a momentum detection sensor, which is a method for acquiring a particle collision position through the momentum detection sensor based on a piezoelectric effect in combination with different response times of a sensor array. The method is characterized in that the response time of a sensor array is measured by combining threshold detection and a counter, and the original position where bending waves occur is obtained according to the difference of the response time of the array, so that the position analysis of the momentum collision event of the tiny dust particles is completed.

The application discloses a shield machine scraping cutter damage and falling detection device, which comprises an electronic tag arranged in the scraping cutter, a reader fixedly arranged on a cutter head, an analysis control unit and a display unit arranged in a control room, and an alarm unit. The position of the reader and the electronic tag is fixedly opposite, the position information of the electronic tag can be accurately perceived, the signal processed by the reader is transmitted to the analysis control unit in the control room again by using a wireless communication unit, the technical problem of inaccurate RFID position sensing can be effectively solved, the position analysis of the technical scheme is simple, reliable and accurate, and the accurate detection of the cutter damage or falling of the tunneling machine is realized by using the low-cost RFID system.