32results about How to "Regulatory intelligence" patented technology

The invention discloses a flight control method and system of an unmanned aerial vehicle tracking technology, and relates to the technical field of unmanned aerial vehicle control, and the method comprises the following steps: before an unmanned aerial vehicle takes off, starting an airborne sensor in advance, executing parameter initialization and calibration operation, and installing a magnetic marker on a tracking target; acquiring the body position of the unmanned aerial vehicle in the flight process, and sensing the target position of the tracking target in real time by adopting a multi-sensor data fusion algorithm; obstacles existing in the flight path are detected in real time, a three-dimensional environment model is integrated, and the motion state of a tracking target is captured in combination with a follow-up visual tracking algorithm; target tracking data are stored and fed back in real time, and the battery state and the energy consumption speed of the unmanned aerial vehicle are monitored. By combining the magnetic guidance technology, multi-sensor data fusion and a follow-up visual tracking algorithm, high-precision target tracking can be realized in a dynamic complex environment, meanwhile, obstacles are effectively avoided, and the flight stability and tracking precision of the unmanned aerial vehicle are ensured.

The invention is suitable for the technical field of naked eye 3D, and provides a naked eye 3D interaction method and system based on OSG, and the method comprises the following steps: loading an OSG library and a deep learning model, loading a 3D model, a map and a light source through OSG, and obtaining an OSG scene; collecting interaction data of a user in real time, inputting the interaction data into the deep learning model, and performing real-time analysis; outputting the visual angle parameter and the model parameter obtained through analysis, and adjusting the camera position and the model posture in the OSG scene according to the visual angle parameter and the model parameter; according to the optimized OSG scene, utilizing a computer vision technology to generate a parallax image, and utilizing a deep learning algorithm to optimize the parallax image so as to improve the reality sense and the stereoscopic sense of the 3D effect; and synthesizing the optimized parallax image into a naked eye 3D image. According to the invention, real-time and intelligent adjustment can be carried out according to the actual interaction behavior of the user, and the reality sense and stereoscopic impression of the 3D effect are strong.

The invention relates to the technical field of power transmission line control, in particular to a self-adaptive optimization control system for an ultra-high voltage power transmission line, which comprises a corona effect monitoring and environment sensing module for monitoring and acquiring a corona discharge condition in the power transmission line in combination with a multi-point distributed sensing network and collecting meteorological data in real time; the self-adaptive voltage and electric field control module is used for dynamically adjusting the voltage level of the power transmission line through a self-adaptive voltage adjusting algorithm according to the corona discharge condition and the meteorological data; the corona power loss calculation module is used for analyzing the electric field intensity, the air ion density and the noise level of the power transmission line through a nonlinear model, calculating the power loss caused by the corona effect, generating a dynamic corona loss prediction curve, and finely adjusting the adjusted voltage level in the adaptive voltage and electric field control module; according to the method, the calculation of the power loss is more accurate, the corona effect monitoring precision is improved, and the risk caused by sudden intensification of the corona effect can be effectively avoided.

The invention discloses an intelligent light source regulation and control system and method based on AI relighting, and belongs to the technical field of light source regulation and control, and the method comprises the following steps: 1, carrying out the three-dimensional reconstruction of a site through employing a three-dimensional reconstruction technology, and outputting a three-dimensional environment model; 2, matching the light source parameters with the AI re-lighting model; step 3, simulating a character polishing effect by the AI re-polishing model; 4, judging whether light source setting is completed or not, if not, executing the step 5, and if yes, executing the step 7; 5, detecting and feeding back space coordinates and spectral data; step 6, light source control adjustment and registration; step 7, event setting and light source matching; 8, scene figure detection and registration; step 9, registering light source switching and camera switching events; and 10, judging whether event matching is completed or not. The system can achieve the effects of intelligent dimming, cost reduction, high-precision matching, automatic control and the like, and is suitable for application scenes of studios or stage plays.

The invention discloses a student classroom behavior intelligent analysis and judgment system and method, and relates to the technical field of classroom behavior recognition, and the system comprises a data collection and storage module, a behavior analysis module, a monitoring time control module and an after-class feedback module. Through a target recognition algorithm, a labeling technology and a face recognition technology, generating a bounding box of a student position in each second frame image, recognizing a student identity and recording a coordinate range and a name of the corresponding bounding box; a behavior recognition model is constructed through a labeling technology and a key point technology, and corresponding student behaviors are analyzed when different analysis signals are received; monitoring face features of teachers in a classroom through a face recognition technology to adjust a classroom behavior monitoring period; analyzing the number of times and the total number of abnormal behaviors of each student, and carrying out special marking on a specified student; according to the invention, intelligent behavior identification of different types of students and intelligent adjustment of the monitoring period under different conditions are realized.

The invention relates to the technical field of bridge construction, in particular to large-span steel truss girder arch rib cantilever installing and lifting equipment and a construction method thereof.The large-span steel truss girder arch rib cantilever installing and lifting equipment comprises lattice type stand columns, cantilever beams, back cables, lifting jacks and lifting cables, and the lattice type stand columns are composed of steel pipes and connecting systems, supported on arch springing arch ribs and connected with the arch springing arch ribs through wedge-shaped bases; the large-span steel truss girder arch rib cantilever installation lifting equipment comprises a cantilever beam, a lifting jack and a lifting box, the cantilever beam is welded to a lattice type stand column, the rear end of the cantilever beam is reversely pulled to a steel truss girder through an installed back cable, the lifting jack is installed on the cantilever beam, and one end of a lifting cable penetrates through the lifting jack. The high-altitude operation of the assembly of the arch ribs is changed into the low-altitude operation, the cantilever lifting mechanism on the arch is light and convenient, the adjustment of the arch rib closure is more intelligent and rapid, the construction risk is greatly reduced, the construction difficulty is reduced, the construction cost is saved, and the engineering construction safety is guaranteed.

The present invention discloses a flight control method and system of unmanned aerial vehicle tracking technology, which relates to the field of unmanned aerial vehicle control technology. The method comprises the following steps: before the unmanned aerial vehicle takes off, the airborne sensor is pre-started, parameter initialization and calibration operations are performed, and magnetic markers are installed on the tracking target at the same time; the body position of the unmanned aerial vehicle during flight is obtained, and a multi-sensor data fusion algorithm is used to sense the target position of the tracking target in real time; obstacles existing in the flight path are detected in real time, integrated into a three-dimensional environmental model, and combined with a follow-up visual tracking algorithm to capture the motion state of the tracking target; target tracking data is saved and fed back in real time, and the battery status and energy consumption rate of the unmanned aerial vehicle are monitored. By combining magnetic guidance technology, multi-sensor data fusion and a follow-up visual tracking algorithm, the present invention can achieve high-precision target tracking in a dynamic and complex environment, while effectively avoiding obstacles and ensuring the flight stability and tracking accuracy of the unmanned aerial vehicle.

The invention discloses a multi-region transportation service mode matching method and system, and particularly relates to the technical field of transportation services, and the method comprises the following steps: dividing user identities into order-sending users and order-receiving users, and respectively obtaining an order-sending requirement set of a target order-sending user and a service set of all order-receiving users in a non-order-receiving state; hard condition screening is firstly carried out, order receiving users meeting hard conditions are reserved, and then elastic condition screening is carried out; if the order receiving users meeting all the elastic conditions exist, direct matching is carried out; otherwise, carrying out portrait analysis by using K-means clustering based on the historical record of the target order issuing user, and evaluating a matching failure rate; according to a failure rate result, negotiation communication channels are successively established until consistent matching is achieved; the method can deeply understand the demand characteristics and behavior patterns of the order issuing user, provides highly personalized matching services, improves the service quality of the platform, and further enhances the loyalty and satisfaction of the user.

The invention relates to the technical field of data transmission monitoring, in particular to a data transmission monitoring method and system for a tin-containing sewage treatment unit. The method comprises the following steps: deploying a plurality of sensors in a sewage treatment unit, and respectively collecting tin ion concentration, pH value, ORP and conductivity information as sensor data by using the plurality of sensors; the sensor data are transmitted to a data collector through an RS485 bus, the data collector collects and caches all the sensor data at the frequency of 2-10 seconds per time, and the data are packaged and transmitted to an edge computing device through a Modbus RTU protocol; and carrying out working condition self-adaptive segmentation on the sensor data by utilizing edge computing equipment, and carrying out anomaly judgment to obtain the sensor data after anomaly judgment. The switching conditions of the pickling section, the neutralizing section and the settling section are dynamically judged through working condition self-adaptive segmentation, and it is ensured that the process operation is more accurate and efficient.

The invention discloses a vehicle control method and device, electronic equipment and a storage medium, and belongs to the technical field of vehicles. The method comprises the following steps: acquiring a first vehicle speed and a tire pressure value of a vehicle in a driving process under the condition that an endurance auxiliary function is started; under the condition that the first vehicle speed is larger than or equal to a first preset value, if the tire pressure value is smaller than a first preset range or is within the first preset range, a second vehicle speed of the vehicle is obtained after first preset time; and under the condition that the second vehicle speed is larger than or equal to the first preset value, the tire pressure value is increased to a second preset range, so that the tire pressure value of the vehicle is matched with the vehicle speed. When the vehicle speed is high, the vehicle speed is obtained after a period of time, and the tire pressure is actively increased when the vehicle speed is stabilized at the preset value or above, so that the rolling resistance of wheels is reduced, the endurance of the vehicle is improved, and the problems of energy waste and comfort reduction caused by frequent adjustment of the tire pressure are solved; therefore, the reduction of comfort is reduced to a certain extent while the endurance of the vehicle is improved.

The invention provides a calculation method for processing a mobile item touch area based on UnreaIEngine, and relates to the technical field of intelligent interaction systems and self-adaptive computation.The calculation method comprises a touch area processing system, and when the calculation method for processing the mobile item touch area based on UnreaIEngine is achieved, processing, controlling and adjusting are conducted through the touch area processing system. The touch area processing system comprises a viewport information acquisition module, a UI information processing module, a touch area control module, an adaptive spatial perception optimization module, a spatial-temporal dynamic modeling module, a super-resolution touch area reconstruction module, a multichannel optimization coexistence module and a curved screen mistaken touch intelligent protection module. According to the mobile item touch area processing and calculating method based on Unreal Engine, the problems of accuracy and flexibility of viewport information acquisition and UI (User Interface) information processing are effectively solved.

The invention provides a VR interaction system and method for a large space scene, and relates to the field of VR interaction, and the method employs a video data processing and analysis technology based on AI to carry out key frame sampling and semantic feature association extraction on an action video of a VR experiencer in a real space, carries out the time sequence coding of a time queue of position data in the real space, and carries out the recognition of the position data in the real space. Therefore, a position change decoding value of the target object is intelligently generated according to query matching between each action association semantic feature and the position time sequence feature, and an interaction feedback result is obtained based on a difference value between the decoding value and initial position data of the target object in a real space. Therefore, the relative position of the target object can be adaptively adjusted to better understand the action intention and context information of the user and capture coherent actions and subtle action changes of the user, so that the position of the target object is more finely and intelligently adjusted to provide more flexible interaction experience.

The invention relates to the technical field of data processing, in particular to an automatic filling method based on a browser, which comprises the following steps: acquiring filling duration, correction frequency and selection frequency; determining a temporary field; determining an automatic field; determining a filling field; determining a prediction field; and adjusting the threshold value and filling. According to the method, the filling duration, the correction frequency and the selection frequency of the user in the website browsing process are collected and analyzed in real time, the form fields can be intelligently recognized and automatically filled, the filling habit of the user can be accurately predicted and adapted by dynamically adjusting the duration threshold value, the form filling efficiency and accuracy are effectively improved, and the user experience is improved. Compared with a traditional static automatic filling mode, the method is more personalized, the filling strategy can be optimized in real time according to user behaviors, tedious steps of user operation are reduced, the user experience is improved, and the problems that the response speed is low and the filling adaptability is poor due to the fact that processing depends on a server side are effectively solved.

The invention relates to the technical field of chip testing equipment, in particular to chip automatic testing equipment convenient for multi-angle identification, which comprises a visual detection device, a plane adjusting device, an angle adjusting device and a controller, a to-be-detected platform is mounted on the plane adjusting device, the plane adjusting device is used for performing plane adjustment on the to-be-detected platform in the X-axis direction and the Y-axis direction, and the to-be-detected platform is used for placing a to-be-detected chip; a visual detection device is mounted on the angle adjusting device, the angle adjusting device is used for adjusting the angle of the visual detection device in the Z-axis direction, and the visual detection device is used for identifying imaging and detecting positioning; the controller is electrically connected with the visual detection device, the plane adjusting device and the angle adjusting device, and the controller is used for adjusting the angle adjusting device and the plane adjusting device according to signals fed back by the visual detection device. According to the invention, multi-angle and high-precision detection of the chip can be realized, and meanwhile, the test efficiency, stability and accuracy are improved.

This application discloses a method, apparatus, storage medium, and electronic device for adjusting transmission power, relating to the field of smart home technology. The method includes: receiving device information reported by a communication module, wherein the device information includes at least: the device network identifier of the device where the communication module is located and the corresponding device model; determining the current device's configuration information in different dimensions based on the device information; determining the target transmission power to be executed by the communication module based on the configuration information and preset configuration data; and adjusting the historical transmission power of the communication module on the current device using the target transmission power. This solves the problems of single configuration strategy, poor flexibility, and low efficiency when dynamically managing the transmission power of communication modules in the cloud. Furthermore, by receiving and parsing the device information of the communication module in the cloud, multi-dimensional configuration parameters are determined to intelligently and dynamically adjust the historical transmission power settings of the communication module in the IoT device.

The invention discloses a gray release verification method for a localized cloud charging system, and the method comprises the steps: introducing a twinborn state transaction verifier which carries out the synchronous verification of the context states of new and old version applications at a plurality of key state points of a charging transaction, achieves the in-event discovery and real-time intervention of logic deviation, and improves the verification efficiency. Therefore, the actual occurrence of wrong transactions is avoided. Meanwhile, the invention provides an RCI (Relief Confidence Index) model, the performance of the new version on consistency, performance and stability is comprehensively quantified, and subjective judgment is converted into scientific data decision. According to comparison of the RCI value and the preset threshold value, the system can automatically execute operations such as rollback, verification range expansion or promotion suggestion and the like, and intelligent and staged transition from single-point verification to total release is realized. According to the method, on the premise of guaranteeing zero interruption of the service, deep and safe verification and automatic decision issuing of the new version application can be realized, and the reliability and efficiency of updating of the key service system are remarkably improved.

This invention discloses an adaptive spatial filtering method to reduce the false alarm rate in laser ranging. An adaptive spatial filtering module is introduced into the laser ranging system. A real-time sky background noise acquisition module detects changes in sky background light intensity and feeds this information back to the control system for immediate response. Based on the acquired control signals, a receiving field-of-view control module enables automatic control of a series of mechanisms and circuits. A variable aperture with adjustment function limits the background noise entering the laser ranging system; when the background light radiation intensity is high, the aperture diameter decreases, and vice versa. This design is simple in structure, easy to operate, stable, and highly automated. It not only balances the system's target acquisition capability and noise suppression capability but also has good adaptability, allowing for real-time, intelligent, and efficient adjustment of system structural parameters according to observation conditions, thereby improving system stability and automation.

The invention discloses a waveguide antenna automatic alignment system capable of being accurately assembled, which comprises a monitoring mechanism, an adjusting mechanism arranged on the inner side of the monitoring mechanism and a grabbing mechanism arranged above the monitoring mechanism, and is characterized in that the adjusting mechanism comprises a base, a rotating assembly arranged on the base and a shaking assembly arranged on one side of the rotating assembly; the grabbing mechanism comprises a linear sliding rail assembly, a downward pressing piece arranged on the linear sliding rail assembly and a pneumatic suction cup arranged on the downward pressing piece. The monitoring mechanism comprises a base, a placement frame arranged on the base and a monitoring piece arranged on one side of the placement frame; the placing frame and the monitoring piece are arranged under the linear sliding rail assembly, and the monitoring piece is used for preventing a circuit board from being fixed; therefore, the overall assembly precision of the product is improved, the assembly process is accelerated through the automatic process, the production period is shortened, and the production efficiency is improved.

The invention relates to the technical field of geological disaster emergency, and discloses a geological disaster emergency evacuation path intelligent planning system based on edge calculation. The system comprises a terrain monitoring layer, a risk assessment layer, a path deduction layer and an evacuation control layer. The terrain monitoring layer collects a multi-dimensional terrain data flow of a disaster area in real time through an edge computing node; the risk assessment layer fuses the historical catastrophe model and the multi-dimensional topographic data flow to carry out geological stability calculation, and generates a dynamic risk distribution map; the path deduction layer generates an initial evacuation path network through a self-adaptive optimization algorithm in combination with the dynamic risk distribution map and a preset evacuation constraint condition; and the evacuation control layer converts the initial evacuation path network into a navigation instruction set and drives terminal execution equipment to implement evacuation guidance. According to the system, the terrain change of a disaster area can be mastered in real time, the risk is accurately evaluated, an evacuation path fitting the reality is generated, personnel evacuation is effectively guided, and the efficiency and safety of emergency evacuation of geological disasters are improved.

The invention discloses a 3D printer remote control method and system based on an image tracking technology, and the method comprises the steps: determining a difference part image of a first image printed at a current moment and a second image printed at a previous moment through the image tracking technology; according to the difference part image, whether the printing quality score is smaller than or equal to the printing quality score standard value is determined, a new method for determining the printing quality score is provided, in addition, direct comparison is conducted by combining front and back collected frame images, and therefore the printing quality is measured through the difference degree. In this way, the data of the next frame can be checked in time through the data of the previous frame, so that on one hand, the speed is higher, and on the other hand, quality determination is more accurate based on printing continuity of printed products.

The present invention relates to the technical field of circuit board manufacturing, and in particular to a large-format photolithography system based on a parallel light source capable of eliminating diffraction, including a parallel exposure light source, a lens, an incident regulator, a mask holder, a mask plate, a movable exposure stage, a control console, a light source sensor, an image sensor, an alignment sensor, a calibration sensor, and an optical imaging sensor. Through real-time monitoring and intelligent adjustment, the system can automatically compensate for problems such as uneven light intensity, incident angle deviation, mask plate position error, and inconsistent exposure stage movement speed. This intelligent control significantly improves the accuracy and repeatability of photolithography, reduces human intervention and potential errors, thereby improving production efficiency and product quality. In addition, the flexibility and accuracy of the system enable it to adapt to different photolithography requirements and process conditions, providing strong technical support for high-precision semiconductor manufacturing and other micro-nano manufacturing fields.

The invention provides an intelligent design method and system for a wind power plant fan foundation, and relates to the technical field of fan foundation design, and the method specifically comprises the steps: obtaining the size, geological conditions, soil mechanical parameters and environmental parameters of a previous fan foundation, and carrying out the evaluation through expert scoring; according to the previous data and the scoring model, generating a plurality of initial combinations of the wind turbine basic size; carrying out iterative optimization on the initial combination by utilizing a genetic algorithm to obtain an optimal fan basic design size; according to historical changes of geological conditions, soil mechanical parameters and environmental parameters of the current to-be-built fan infrastructure construction site, calculating an average stability coefficient of the changes; and correcting the optimal size by using the average stability coefficient so as to adapt to the requirements of the actual environment. Quantitative evaluation of site conditions and environmental parameters is achieved, the influence of the site conditions and the environmental parameters on the basic performance of the draught fan is accurately reflected, the design parameters are intelligently adjusted according to the requirements of the actual environment, and the design result is more suitable for the actual environment.

The present invention discloses an adjustable automatic valve, including a columnar valve body, a cavity formed in the valve body, an axially arranged optical axis arranged in the valve body, the optical axis arranged in the valve body through a bracket, the optical axis is fixedly connected to the bracket, the bracket is movably connected to the valve body, and the bracket can drive the optical axis to move along the axial direction of the valve body; a valve head is passed through the optical axis, and a memory metal spring is also sleeved on the optical axis between the valve head and the bracket; a boss is also provided on the inner wall of the valve body, and the boss is located on the side of the valve head away from the memory metal spring. The present invention is installed after the water enters the heating pipeline of each user, and can automatically adjust the flow rate of the water entering according to the real-time temperature of the water entering; in addition, the staff can manually increase or decrease the adjustment range according to the actual situation, so as to more intelligently adjust the water entering the heating system of each household according to the actual situation, greatly reducing the loss of the thermal power group caused by excessive heating.

The invention discloses a radar target monitoring method based on potential game, which belongs to the field of radar monitoring. The specific steps of the monitoring method are as follows: S1, collecting and preprocessing radar echo data of multi-source sensors; S2, extracting multi-source sensor data and performing feature fusion; S3, classifying and marking targets in radar data; S4, real-time tracking of multiple targets and optimizing target tracking paths; S5, optimizing resource allocation strategies and establishing target association relationships; the invention can more intelligently select a suitable path, improve the efficiency and accuracy of target detection and tracking, dynamically adjust radar scanning and moving paths, maintain the stability and reliability of a monitoring system, improve the overall performance of a monitoring system, improve the safety and reliability of the system, discover potential abnormal behavior patterns, enhance the ability to respond to abnormal situations, and provide deeper information support for radar target monitoring.

The invention relates to the technical field of high-voltage power transmission and distribution, in particular to a 110 kV / 220 kV skid-mounted transformer device for a transformer substation, which comprises a transformer chamber, an automatic control chamber and a radiator chamber and is used for bearing a detection mechanism, a fire extinguishing mechanism, a heat dissipation mechanism and a control mechanism, the control mechanism is arranged in the self-control chamber and used for obtaining the temperature data and the smoke data detected by the detection mechanism and monitoring images of the monitoring devices, and the data analysis module is used for analyzing the temperature data and the smoke data; the image analysis module is used for analyzing monitoring images of a plurality of monitoring devices; the starting execution module is used for determining to start a fire extinguishing mechanism based on an analysis result of the data analysis module and an analysis result of the image analysis module; and the adjustment module is used for adjusting the fire extinguishing mechanism or the heat dissipation mechanism based on the fire behavior image of the image analysis module in the fire extinguishing operation of the fire extinguishing mechanism. The fire extinguishing efficiency of the skid-mounted transformer is improved.

The invention relates to the technical field of vehicle transmission, in particular to a wheel type hybrid transmission walking mechanical transmission system which is mainly composed of a terrain recognition module, a control module, a motor transmission module, a speed change module, a clutch module, a hydraulic transmission module, an energy storage module and a suspension module. The terrain environment around the wheel type walking machine is scanned in real time; the motor transmission module is directly connected with a driving wheel of the wheel type walking machine, and the walking machine is driven to advance or retreat through rotation of a motor. The hydraulic transmission module provides power for the wheel type walking machine through a hydraulic motor. The speed change module performs speed change control according to the instruction sent by the control module; the clutch module is used for disconnecting and connecting the corresponding motor transmission module and hydraulic transmission module according to the terrain requirement of the control module; the invention aims to provide a walking mechanical transmission system which is efficient, flexible and suitable for various terrains.

The invention relates to the field of aviation technology, and in particular to an aviation cabin simulation training system, comprising: a control test module, used for generating a simulation model according to currently input test data; a model partitioning module, used for partitioning the simulation model into a plurality of grid areas, and calculating a grid sensitivity coefficient of each grid area; a simulation adjustment module, used for adjusting the grid areas, and determining the test effects of users in different grid areas under different training tasks; a plan setting module, used for selecting a plan scheme corresponding to a current test according to the test effects and grid sensitivity coefficients of different grid areas, and verifying a comprehensive evaluation result of the current test according to the obtained plan scheme; and the technical effects of improving the training realism, comprehensively simulating a complex environment, accurately evaluating the training effect, and improving the training efficiency and safety are achieved.

The invention discloses an air-drop height, wind speed and wind direction measuring device and method of an anti-impact retractable structure, and belongs to the technical field of atmosphere data measurement and air-drop equipment. The invention aims to solve the problems of poor impact resistance, low response speed and large volume and weight of the existing measuring device in an air-drop environment. The retracting and releasing device, the wind direction measuring unit and the pressure difference measuring device are highly integrated, so that the device can push the wind direction measuring unit to an optimal measuring position in an air-drop flight measuring stage and perform real-time atmosphere information acquisition and feedback, and the device is quickly retracted into a cabin in a landing stage, so that the measuring device is prevented from destructive impact. Through the unique structural design, the measuring device can feed back accurate and reliable atmosphere information in real time in an extreme air-drop environment so as to adjust a flight strategy, meanwhile, the measuring device has high impact resistance, and the service life of the measuring device is prolonged.

The invention provides an information processing method and device, equipment and a storage medium, which can be applied to the fields of computer technology and financial science and technology. The method comprises the steps of determining attribute information of a target object and a predetermined resource value corresponding to a preset periodic task in response to triggering of the preset periodic task, the attribute information including at least one attribute category; based on a preset evaluation rule corresponding to each attribute category, performing risk evaluation on the attribute information to obtain a risk value of the target object; for each target time period, determining a resource fluctuation value Ngt according to a resource transaction value corresponding to the target time period and acquired from a cache unit and N historical resource values of the product acquired from a product database; 2; determining a resource consumption proportion corresponding to the resource fluctuation value in the target time period based on the risk value and the attention of the target object to the product; and based on the resource consumption proportion and the predetermined resource value, determining a recommended resource value in the target time period.

The invention provides a mainboard power supply analysis method and analysis system, and relates to the technical field of mainboards, the mainboard power supply analysis system comprises a power supply system of a plurality of local mainboards, the power supply system comprises a plurality of distributed nodes and a master control node used for coordinating the distributed nodes, and the distributed nodes respectively collect working parameters of the local mainboards where the distributed nodes are located; the working parameters are preprocessed; correspondingly inputting the preprocessed working parameters into a PID (Proportion Integration Differentiation) controller configured by distributed nodes, and generating initial control output; each distributed node sends the preliminary control output and the working parameters to the master control node, and obtains adjusted PID parameters and final control output by using a self-adaptive fuzzy logic controller of the master control node; evaluating the local operation state of the local mainboard according to the adjusted PID parameters and the final control output; and each distributed node sends the local operation state to the master control node, and the master control node judges the global operation state of the power supply system according to a preset state index.