53 results about "Position analysis" patented technology

The invention discloses a vehicle-mounted holder laser telemetering scanning type gas leakage positioning system, and relates to the technical field of gas leakage monitoring. The vehicle-mounted pan-tilt laser telemetering scanning type gas leakage positioning system comprises a data acquisition unit for acquiring laser absorption second harmonic signal intensity of an inspection vehicle on a set route; the concentration inversion processing unit is used for inverting the gas concentration on the basis of the signal; the concentration analysis unit is used for identifying an abnormal inspection point by comparing the concentration change rate; the leakage direction analysis unit is used for predicting the leakage direction by combining wind direction concentration data; according to the invention, a signal saturation upper limit value and an optical path length value are introduced to carry out normalization processing, concentration inversion calibration is carried out in combination with a gas absorption coefficient, independent calculation is carried out at each inspection position point, and the accuracy of the inspection is greatly improved by combining remote measurement concentration distribution data, image data and a leakage position analysis unit for accurately positioning a leakage point in combination with a gas diffusion model. And continuous, dynamic and high-precision concentration distribution reconstruction in space is realized.

The invention relates to the technical field of intelligent wagon balances, in particular to an intelligent wagon balance management method and system. Comprising the following steps: setting a plurality of monitoring points and a plurality of positioning points according to wagon balance equipment parameters; according to the wagon balance measurement data and the feedback data of all the positioning points, weighing parameters of the incoming vehicle are generated; generating a violation risk value of the incoming vehicle according to the wagon balance operation parameters and the monitoring data of each monitoring point, and judging whether to generate an alarm instruction or not according to the violation risk value; real-time position parameters of each incoming vehicle during weighing are monitored in real time, an initial weighing value is corrected according to a preset position analysis model and the real-time position parameters, measurement errors caused by position deviation during vehicle weighing are eliminated, the weighing precision of the weight of the weighing vehicle is improved, multi-angle image data are collected, and the weighing accuracy of the weighing vehicle is improved. The weighing process is dynamically monitored in combination with the operation parameters of the wagon balance, and early warning is carried out on potential violation behaviors in time, so that the weighing parameter distortion caused by fraud behaviors is avoided.

The invention discloses a visual operation method and system for a commercial vehicle storage yard, and relates to the technical field of inventory stocktaking, and the method comprises the steps: 1, preparing a positioning foundation: dividing a plurality of UWB base stations into a plurality of groups, and enabling the same group to comprise four UWB base stations; establishing data connection between the background and the UWB base station; step 2, positioning: when any vehicle enters a storage yard, putting the UWB tag card into the vehicle and binding a vehicle frame number; the background obtains the real-time position of the vehicle through a positioning system of the vehicle, and analyzes and determines a matched UWB base station group according to the real-time position after parking; the background obtains communication data generated when the UWB base station group communicates with the UWB tag cards on the vehicle, and analyzes and calculates the positions of the UWB tag cards based on the communication data of the four UWB base stations in the same group; and the background identifies the UWB tag card of which the position is calculated, searches a historical record to determine a bound frame number, and generates vehicle positioning data. The method and the device have the effect of improving the convenience and the accuracy of commodity vehicle checking at a wharf.

The invention relates to the technical field of building construction intellectualization, in particular to a cement mixing pile automatic grouting control method, device and equipment and a storage medium, and the method comprises the steps that to-be-grouted positions are obtained, and corresponding to-be-grouted parameter information is obtained according to each to-be-grouted position; acquiring corresponding grouting amount data and grouting inclination angle data from each piece of to-be-grouted parameter information; a grouting starting instruction triggered according to the to-be-grouted parameter information is obtained, the grouted flow and Beidou position information are obtained in real time, real-time monitoring is conducted according to the grouted flow and the Beidou position information, and grouting monitoring data are obtained; performing real-time grouting analysis according to the grouting monitoring data to obtain a corresponding grouting analysis result; and a grouting adjustment control instruction is generated according to the grouting position analysis result and / or the grouting amount analysis result. The intelligent cement mixing pile grouting control system has the effect of improving the intelligence of the cement mixing pile during grouting so as to realize accurate control of the grouting amount.

The invention relates to a positioning system and method, a navigation method, a storage medium and a computer program product. The positioning system comprises a base station, a core network, a navigation relay server and a position analysis and calculation server, the base station is in communication connection with the core network; the navigation relay server is in communication connection with the base station, the base station is in communication connection with the position analysis and calculation server, and the position analysis and calculation server is in communication connection with the navigation relay server; when user equipment is attached to a communication network, a core network allocates a first IP address to the user equipment through a base station, the base station sends orthogonal data of a reference signal and a user identifier to a position analysis calculation server, the reference signal is used for positioning the position of the user equipment, and the user identifier comprises the first IP address; and the position analysis calculation server obtains coordinate information corresponding to the first IP address based on the orthogonal data. According to the technical scheme provided by the invention, universal accurate positioning and navigation in an indoor scene can be realized, and customer privacy can be prevented from being invaded.

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.

A system and method for Global Navigation Satellite System (GNSS) accuracy improvement for GNSS devices using a novel GNSS positioning system that leverages networked optimization for enhanced accuracy. GNSS measurements from multiple devices form the foundation for a massive pairwise optimization approach. This fuels a self-reinforcing cycle, wherein Real Time Kinematic pairwise optimizations support Precise Point Positioning analysis. Improved PPP calculations in turn refine RTK optimization, rapidly iterating towards convergence. The PPP-RTK feedback loop refines positions iteratively, culminating in precise user locations. This method capitalizes on the interplay between PPP and RTK techniques within a networked context, offering a powerful solution for real-time, high-precision positioning applications.

The invention discloses a motor stator and rotor magnetostatic multi-dimensional shape and position analysis and evaluation method and device, and the method comprises the steps: fixing a motor stator in a magnetostatic state, employing a four-quadrant orthogonal loading mechanism, manually applying an axial / radial combined load to a rotor, simulating the load of the motor in actual work, fixedly connecting a laser to the output shaft of the rotor, and carrying out the measurement of the output shaft of the rotor. And the laser is used for imaging on the photosensitive imaging plate and drawing the rotating track of the rotor. For the load in each direction, the inclination angle theta i of the stator and the rotor of the motor is calculated according to the laser imaging track; and according to the time difference and the position difference of the laser imaging points before and after the load is applied, the axial offset delta Xi and the radial eccentric distance delta Yi are calculated. The system performs statistical processing on four-direction load data through an adaptive weighting algorithm, and outputs a form and position deviation mean value # imgabs0 # # imgabs1 # to establish a method for evaluating the form and position of the stator and the rotor of the motor. According to the invention, high-precision synchronous detection of the multi-dimensional form and position deviation of the stator and the rotor is creatively realized in a static magnetic state.

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 discloses a method and system for wind speed prediction, overcapacity energy storage and grid connection based on input quantity position analysis; belonging to the technical field of wind power generation; the method first obtains the original wind speed sequence and divides it into an experimental group and a test group, and then inputs it into a pre-built wind speed prediction model to obtain a predicted wind speed sequence; according to the predicted wind speed and the actual power of the wind farm, the shortage of the overcapacity energy storage system is determined and dispatch control is performed; the construction process of the prediction model includes multiple iterations, by changing the value of each position of the experimental group and calculating the error, the value of the corresponding position is corrected until the error is reduced to less than half, and the final predicted wind speed sequence is obtained; the technical problem in the prior art that the complexity and nonlinear characteristics of wind speed data lead to a large error between the wind speed prediction result and the actual wind speed is solved.

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 large-scale attack monitoring method and system based on real-time calculation, and the method comprises the following steps: acquiring log data; analyzing the log data through a distributed stream processing platform; analyzing two-stage analysis based on C-segment common attack sources; generating a first attention list according to the attack times of objects, obtaining the physical position of the attacked objects through position analysis, and obtaining the C-segment range to which the IP addresses of the attacked objects belong through threat intelligence library correlation; performing trend analysis on attack data in a first preset time period based on the first attention list information, and predicting the next attack time of the attacked objects; and performing correlation analysis on the whole network to obtain other attacked areas. The application realizes real-time calculation through three analysis methods, quickly and accurately identifies abnormal behaviors and attack modes, improves the accuracy and real-time performance of alarm data, and performs correlation analysis on attack sources, attack means and attacked business systems, integrates commonalities, and quickly forms disposal suggestions.

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.

A system and method for Global Navigation Satellite System (GNSS) accuracy improvement for GNSS devices using a novel GNSS positioning system that leverages networked optimization for enhanced accuracy. GNSS measurements from multiple devices form the foundation for a massive pairwise optimization approach. This fuels a self-reinforcing cycle, wherein Real Time Kinematic pairwise optimizations support Precise Point Positioning analysis. Improved PPP calculations in turn refine RTK optimization, rapidly iterating towards convergence. The PPP-RTK feedback loop refines positions iteratively, culminating in precise user locations. This method capitalizes on the interplay between PPP and RTK techniques within a networked context, offering a powerful solution for real-time, high-precision positioning applications.

The present invention discloses a data analysis management method and system based on digital intelligence engineering, which relates to the field of data analysis management technology, including performing position analysis on a data set to be managed and determining the position of a first data to be filled. The present invention first determines the position of the first data to be filled, then determines the position of the abnormal data, and sets the position of the abnormal data to be the position of the second data to be filled. Finally, the data set to be filled is calculated by Euclidean calculation to obtain a first data similarity set and a second data similarity set, and the first data similarity set and the second data similarity set are selected and calculated to obtain first filling data and second filling data. In order to avoid the calculated first filling data and second filling data being abnormal data, the first filling data and the second filling data are verified to determine a normal data set. The above method not only realizes the filling and modification of missing data and abnormal data, but also shortens the data call time of digital intelligence engineering.

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 invention relates to the field of shared electric cars, and discloses a shared electric car returning identification method and device and a storage medium. The method comprises the steps that when the shared electric car receives a car returning instruction, an image acquisition system acquires an environment image of the shared electric car; performing image preprocessing on the corrected image to obtain a sample image, and transmitting the sample image to an image analysis system; the image analysis system performs parking position analysis on the sample image to obtain a position analysis result; when the position analysis result is qualified, parking angle analysis is carried out on the sample image to obtain an angle analysis result; when the angle analysis result is qualified, performing parking standard analysis on the sample image to obtain a standard analysis result; and when the standard analysis result is qualified, a car returning execution instruction is sent to the shared electric car. In the embodiment of the invention, the image acquisition system is arranged on the shared electric vehicle, and the neural network vision technology is utilized to identify the vehicle returning position in real time, so that the user can return the vehicle according to specifications and avoid random parking.

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 present invention relates to the field of mobile stage technology, and discloses a mobile stage motion mode safety control system and method, wherein the mobile stage motion mode safety control system includes: an acquisition module, which acquires historical motion data, current motion data and the desired stop position of a target person; a judgment module, which forms mobile stage state judgment data through a position analysis strategy to determine whether the wire rope device on the stage is in a moving state or a stopped state; a control module, which forms control data through a control strategy; and an execution module, which performs safety control on the target person suspended by the wire rope device on the stage. When the wire rope device is in a moving state, moving control data is formed to control the wire rope device to move; when the wire rope device is in a stopped state, stop control data is formed to control the wire rope device to move back and forth, so as to reduce the inertial shaking of the target person while ensuring the accuracy of the performance position of the target person, thereby improving the safety and performance quality of the target person.

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 intelligent control, in particular to a whole house intelligent control system based on an intelligent host. The system comprises an operation data acquisition module which is used for acquiring a control operation record of each intelligent device in the whole house intelligent control system and constructing a control operation vector of each intelligent device; the privatization analysis module is used for determining a privatization coefficient of each intelligent device; the position analysis module is used for constructing a position change vector of each intelligent device; the identification degree analysis module is used for determining the operation change amplitude of each intelligent device; determining the personal behavior identification degree of each intelligent device in combination with the privatization coefficient, the position change vector and the operation change amplitude; and the equipment parameter determination module is used for performing spline interpolation processing between every two operations, extracting a user portrait by using the processed data, and obtaining the optimal control parameter of the corresponding intelligent equipment. According to the invention, a more personalized and effective smart home control strategy is generated.

The invention discloses a data sharing method and system based on a block chain, and relates to the technical field of data analysis processing, and the method comprises the steps: obtaining to-be-shared data, carrying out the data analysis processing of the to-be-shared data based on an intelligent analysis terminal, and obtaining equal-length to-be-shared data; based on the intelligent analysis terminal, performing data analysis processing on the equal-length to-be-shared data, and determining insertion data parameters; and based on the intelligent analysis terminal, performing position analysis on the equal-length to-be-shared data, and determining a parameter insertion position. According to the invention, the to-be-shared data is subjected to data segmentation through the data calculation module, the data processing module and the data analysis module, so that the to-be-shared data is subjected to block sharing, the to-be-shared data is prevented from being completely leaked when a certain node of the block chain is invaded, in addition, the to-be-shared data is encrypted, and when part of the to-be-shared data is leaked, the to-be-shared data is encrypted. And an intruder cannot extract internal information, so that the security of the to-be-shared data is further ensured.

The invention is suitable for the technical field of workshop management, and provides an intelligent workshop management system based on the Internet of Things, and the system comprises a tool equipment monitoring module which is used for obtaining a plurality of pieces of online monitoring data; the state abnormity analysis module is used for selecting abnormal tool equipment; the order responsibility analysis module is used for matching a current person in charge; the feature positioning analysis module is used for performing feature positioning analysis to obtain a current positioning area of the current person in charge; the auxiliary notification processing module is used for matching a plurality of auxiliary notification devices and carrying out auxiliary notification; and an exception processing and recording module. According to the method, order responsibility analysis can be performed on abnormal tool equipment, the current person in charge is matched, feature positioning analysis is performed, the current positioning area of the current person in charge is obtained, a plurality of auxiliary notification devices are matched, and auxiliary notification of abnormal processing is performed, so that workshop management personnel do not need to inquire a plurality of persons in charge one by one, and automatic processing of a flow is realized; and the exception handling time of the tool equipment is effectively shortened.

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 relates to the technical field of automatic control, in particular to a beam yard automatic gantry crane control method which comprises the steps that a gantry crane online monitoring system is arranged, and initial dynamic monitoring information of a gantry crane is obtained; establishing a monitoring information loss evaluation model, evaluating the initial dynamic monitoring information by using the evaluation model and obtaining a monitoring information evaluation result, and updating the initial dynamic monitoring information based on the evaluation result to obtain dynamic monitoring information of the gantry crane; analyzing the gantry crane in the beam yard according to the dynamic monitoring information of the gantry crane, and obtaining a position analysis result, a stress prediction result and a load state detection result of the gantry crane in the beam yard; and the position analysis result, the stress prediction result and the load state detection result are combined to regulate and control the beam yard gantry crane, and safe and efficient operation of the beam yard gantry crane is guaranteed. The position, the stress and the load state of the gantry crane are analyzed according to the dynamic monitoring information, adjustment of the operation plan of the gantry crane is facilitated, and the efficiency and the safety are improved.

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 present application discloses a method, system, and computer system for managing policy configurations. The method includes (i) receiving a set of predefined security policy rules, (ii) determining, based at least in part on the set of predefined security policy rules, one or more security policy rules that do not satisfy one or more predefined requirements, (iii) performing a priority or position analysis to determine a relationship among a plurality of security policy rules, and (iv) providing a report pertaining to the one or more security policy rules.

The present application relates to the technical field of sensor of motion control system, especially to a resolver shaft angle software decoding method, specifically comprising the following steps: S1: generating a high-frequency excitation signal Usinωt by a microprocessor and applying the signal to a primary winding of a resolver; S2: correcting the amplitude and phase of an output signal of a secondary winding of the resolver; S3: connecting the resolver sine and cosine winding output signals kUsinωt*sinθ and kUsinωt*cosθ to the reference input terminals of a four-quadrant DAC respectively, connecting the digital sine and cosine signals sinφ and cosφ generated by the angle φ to the digital input terminals of the four-quadrant DAC respectively, and the four-quadrant DAC outputs the analog signals kUsinωt*sinθ*cosφ and kUsinωt*cosθ*sinφ obtained by multiplication respectively; S4: performing position analysis on the resolver output signal and outputting corresponding angle information. The present application provides a resolver software decoding method based on a four-quadrant DAC, and solves the technical problems of high cost and low precision in the current rotor position determination process.