19results about How to "Avoid judgment errors" patented technology

The invention discloses a natural secondary forest succession stage quantitative division method, and relates to the technical field of forestry, and the method comprises a forest stand investigation step, a forest stand factor calculation and measurement step, and a stage determination factor calculation and succession stage determination step. The method is limited in determination such as tree species composition, forest tree size, under-forest renewal condition and the like. In addition to common forest tree size related factors, factors such as dominance degree of top-level tree species, mingling degree and soil total phosphorus which are difficult to directly and visually inspect are also included. Through the comprehensive factor consideration mode, the actual state and succession stage of the natural secondary forest can be reflected more accurately, and judgment errors caused by one-sidedness of a single factor or a part of factors are avoided.

The invention discloses a corn growth monitoring method and system combining a remote sensing technology and image recognition, and relates to the technical field of corn growth monitoring. An unmanned aerial vehicle is carried with a visible light sensor and a multispectral sensor, and obtains a color RGB image and a multiband image of a to-be-recognized area; the color RGB image and the multi-band image are preprocessed; dividing sub-regions according to the preprocessed color RGB image; identifying a corn variety type in each sub-region, and selecting a corresponding growth cycle judgment model; and inputting the preprocessed multi-band image of each sub-region into the corresponding growth period judgment model, and determining the growth period of the corn in each sub-region. By combining the remote sensing technology and the image recognition technology, the problem of diversity of corn varieties in the region is solved, and the corn growth monitoring efficiency and accuracy are improved.

The invention discloses a bidding document auxiliary review method and system based on artificial intelligence, and relates to the technical field of bidding and bidding, and the method comprises the steps: obtaining a bidding document and a bidding document corresponding to the bidding document, and determining a corresponding bidding demand according to the bidding document; respectively obtaining text information about the bidding content and picture information about the bidding qualification in the bidding file; and respectively identifying the text information and the picture information, and matching and comparing the identification result with the bidding demand so as to inspect the bidding document. According to the invention, the problems of manual bid evaluation and poor accuracy in the prior art are solved.

This invention belongs to the field of fault early warning technology for unmanned mining trucks, and particularly relates to a data-driven fault pre-diagnosis method for unmanned mining trucks. This method considers the daily stable operation requirements of unmanned mining trucks and takes into account their complex structure. After detecting anomalies, it performs fault diagnosis and provides maintenance suggestions to maintenance personnel. This overcomes the shortcomings of traditional unmanned mining truck health management in terms of "pre-emptive" early warning and diagnosis, thereby improving the timeliness and effectiveness of fault pre-diagnosis and enhancing the stability and reliability of unmanned mining trucks in daily operation.

The invention provides a water supply management method and system, and the method comprises the steps: obtaining an initial water supply data set, and carrying out the missing value filling and abnormal value replacement of the initial water supply data set, so as to obtain a to-be-used water supply data set; performing data segmentation on the to-be-used water supply data set through a time window to generate a plurality of data segments, and constructing and training an initial water supply prediction network model to obtain a final prediction network model; obtaining a predicted water supply amount through the final prediction network model, and determining a predicted pipeline stress threshold value of a pipeline of the water supply system based on the predicted water supply amount; and acquiring real-time stress of the pipeline of the water supply system, and comparing the real-time stress with the predicted pipeline stress threshold value to judge the health state of the pipeline. According to the method, the stress corresponding to the pipeline is used as the judgment standard of the health state, the water pressure with the high change degree is replaced, the judgment error of the health state of the pipeline caused by the uncertainty of the water pressure is avoided, and the monitoring accuracy of the health state of the pipeline is improved.

The present invention relates to the technical field of preparation of seabuckthorn fruit powder, and in particular to a preparation method of seabuckthorn fruit powder, comprising: picking seabuckthorn branches and fruits, freezing the seabuckthorn branches and fruits, breaking and threshing them, washing them, draining them and sending them to a pulper for pulping to obtain pulp, squeezing the pulp and separating and removing impurities from the peel to obtain a coarse pulp, using an oil-water centrifuge to separate part of the fruit oil from the coarse pulp, using an ultrasonic vibration screen to separate part of the pulp, and degassing the pulp after separation to obtain a to-be-sterilized pulp; sterilizing the to-be-sterilized pulp at high temperature and then transporting it to a filling room for filling and storage to obtain seabuckthorn pulp, and placing the seabuckthorn pulp in a vacuum freeze dryer equipped with a low-voltage electrostatic field device for freeze drying to obtain seabuckthorn fruit powder. The present invention improves the retention rate of nutrients.

The present invention provides a water supply management method and system, the method comprising: obtaining an initial water supply data set, filling missing values ​​and replacing abnormal values ​​in the initial water supply data set to obtain a water supply data set to be used; segmenting the water supply data set to be used by a time window to generate a plurality of data segments, constructing and training an initial water supply prediction network model to obtain a final prediction network model; obtaining a predicted water supply through the final prediction network model, determining a predicted pipeline stress threshold of a pipeline of a water supply system based on the predicted water supply; obtaining the real-time stress of the pipeline of the water supply system, and comparing the real-time stress with the predicted pipeline stress threshold to judge the health status of the pipeline. The stress corresponding to the pipeline itself is used as the judgment standard of the health status, replacing the water pressure with a high degree of variation, avoiding the judgment error of the health status of the pipeline caused by the uncertainty of the water pressure, and improving the accuracy of monitoring the health status of the pipeline.

The invention discloses a sliding sliding window control method and device, a sliding sliding window and a storage medium, and belongs to the technical field of sliding windows. The sliding sliding window is provided with a control motor and a vibration sensor, and meteorological data of the position where the sliding sliding window is located and vibration data detected by the vibration sensor are obtained; determining a target state of the sliding sliding window according to the vibration data and the meteorological data; and control data are determined according to the target state and the current state of the sliding sliding window at the current moment, the control motor is controlled according to the control data, and the technical effect of improving the control accuracy of the sliding sliding window is achieved.

This invention relates to the field of aluminum formwork inspection technology, solving the problem of insufficient accuracy and precision in the inspection and sorting of high-precision aluminum formwork for aluminum buildings due to the difficulty in comprehensively covering complex surfaces and nodes. Specifically, it discloses an inspection and sorting device and method suitable for high-precision aluminum formwork. The device includes a feeding input mechanism, an inspection and sorting mechanism, an output mechanism, and a temporary storage mechanism. The feeding input mechanism is located between the output mechanism and the temporary storage mechanism, and the inspection and sorting mechanism is located above the feeding input mechanism, output mechanism, and temporary storage mechanism. The method includes S100, feeding positioning and preprocessing; S200, multi-dimensional inspection data acquisition; S300, algorithm inspection data processing; S400, sorting execution; and S500, inspection data recording and scheduling. This invention is used for the inspection and sorting of high-precision aluminum formwork in aluminum building structures, improving the inspection effect by increasing the inspection coverage and accuracy of complex surfaces.

This application provides an in-vehicle time synchronization method, a vehicle, and a storage medium, relating to the field of in-vehicle communication technology. The method includes: if it is detected that the vehicle cannot synchronize its time via a positioning system, a public network probe request using a first network protocol is initiated to a first server to establish a first network; the establishment process of the first network includes a secure handshake process; during the secure handshake process, the certificate issued by the first server is verified based on target certificate verification rules; if the verification passes, the secure handshake process continues until the handshake is successful; the target certificate verification rules include: exempting verification of the certificate validity period; after a successful handshake, a target time is obtained based on the first network, and the target time is synchronized to at least one module of the in-vehicle system, thereby restoring public network connectivity and ensuring the normal operation of functions such as remote control and online upgrades, thus improving the reliability of vehicle time synchronization and system availability.

This invention discloses a credit control management method, apparatus, device, storage medium, and program product. It acquires credit control execution results for all user accounts in a business system according to a preset cycle. Each user account is associated with at least one main product, and each main product is pre-configured with a corresponding credit control lifecycle stage and associated credit control rules for each stage. Based on the credit control execution results, target user accounts in abnormal scenarios are selected. Based on the credit control rules of the main product to which the target user account belongs, an audit query is performed on the target user account. The audit query results are summarized, and a credit control verification report is generated based on the audit query results. Using this invention, scattered credit control rules can be effectively organized, product-level credit control lifecycle management can be established, automated and intelligent monitoring can be achieved, and management efficiency and user experience can be improved.

The invention relates to the technical field of hippophae rhamnoides fruit powder preparation, in particular to a hippophae rhamnoides fruit powder preparation method which comprises the following steps: picking hippophae rhamnoides branches and fruits, freezing the hippophae rhamnoides branches and fruits, scattering, threshing, cleaning, draining water, and pulping in a pulping machine to obtain pulp; squeezing the pulp, separating and removing peel impurities to obtain coarse pulp, separating part of fruit oil from the coarse pulp by using an oil-water centrifugal machine, separating part of pulp by using an ultrasonic vibrating screen, and degassing after the separation is completed to obtain primary pulp to be sterilized; sterilizing the to-be-sterilized primary pulp at high temperature, conveying the to-be-sterilized primary pulp to a filling room, filling and storing to obtain hippophae rhamnoides fruit primary pulp, and freeze-drying the hippophae rhamnoides fruit primary pulp in a vacuum freeze-drying machine provided with low-voltage electrostatic field equipment to obtain hippophae rhamnoides fruit powder. The method improves the retention rate of nutritional ingredients.

The invention discloses an intelligent construction management system and method based on multi-source surveying and mapping data, and relates to the technical field of intelligent construction, and the method comprises the steps: extracting an actual measurement constraint surface parameter set and an actual measurement deviation parameter set based on the multi-source surveying and mapping data of a current process; taking the two as reference constraint conditions, inputting an original construction scheme of a next process to perform spatial feasibility verification, and outputting a conflict area and a conflict level thereof; based on the conflict area, the conflict level and the actually measured deviation parameter set, reversely deducing the adjustment amount required by the original scheme, and generating an adjustment parameter set, an adjustment amount level and an adjusted candidate scheme; and inputting the adjusted candidate scheme into an actual measurement constraint surface parameter set for reverse conformity verification, outputting a scheme available mark and a scheme adaptation degree score, executing corresponding three-level feedback according to an adjustment amount level and the adaptation degree score, and binding related parameters and feedback output to a current process node to form a reference package of a next process.

The invention discloses carbon brush holder electrical performance detection equipment and a detection method, and belongs to the field of carbon brush holder detection. Aiming at the industry blank that only basic physical indexes can be screened and the welding spot quality cannot be accurately judged in the existing carbon brush holder detection, the equipment takes a rack as a carrier, integrates a carbon brush holder positioning seat, an electrical property detection assembly and a PLC (Programmable Logic Controller) electric control system, and can be selectively provided with a pre-press mounting mechanism and a dotting mechanism. Through a constant voltage current measurement method, a magnetic switch cylinder drives a conductive block to be in short circuit connection with a probe, a servo motor drives a conductive press head to be in press connection with a positive electrode and a negative electrode to construct a detection loop, current data are collected at the precision of 0.01 A under the test voltage of 0.01-0.1 V, and the defects such as pseudo soldering and open circuit of a welding spot are accurately judged. The device is high in automation degree, improves the detection efficiency by more than 200% compared with manual detection, has a data tracing function, can fill the core performance detection blind area of the carbon brush holder, and is suitable for batch detection of the pump head carbon brush holder.

The application discloses a kind of photovoltaic module cleaning cycle prediction methods, first establish the power generation loss rate prediction model of photovoltaic module to obtain power generation loss rate, then determine cleaning threshold, according to the sum of the change value of the power generation loss rate corresponding to all collection time in cycle according to cleaning threshold, when exceed the range of cleaning threshold, turn into cleaning decision process, make the decision of cleaning by combining artificial and intelligent prediction, according to weak consciousness echo state network constructs power generation loss rate prediction model, and according to the change of input data, select optimal network weight, compared with other static neural network, its fitting ability is stronger, prediction accuracy is higher, the data set of dynamic acquisition is constantly updated to prediction model, avoid the problem that the prediction model needs to be modified due to the change of data characteristics in offline prediction, improve the reliability of prediction model, reach the effect of online prediction.

The present application provides a lane departure remote warning method and system, in which the left camera and the right camera of the system are respectively fixed to the bottom fixing seat of the vehicle through the left telescopic rod and the right telescopic rod. Since the bottom fixing seat of the vehicle is located in front of the left and right front wheel connecting shafts of the vehicle, the left and right cameras are also arranged in front of the left and right front wheels, and the right camera is arranged toward the ground, for real-time shooting of the road conditions of the left and right front wheels. When a white lane line appears in the picture taken by the left camera or the right camera, the processor promptly sends an alarm instruction to the alarm device to remind the driver not to deviate from the lane.

The application provides a kind of vehicle-mounted full work health monitoring system, method and computer program product. Including: physiological state perception module fuses the fusion feature vector of each channel physiological signal of occupant, obtains basic physiological index by time series multi-task regression model, calculates fatigue discrimination result, autonomic nervous balance index, combined with basic physiological index, obtains emotional stress level by single task classification model;Abnormal feature acquisition module when physiological state index, physiological signal deviates from preset benchmark, respectively quantitatively obtained first, second abnormal feature;Genetic risk coefficient calculation module calculates the PRS value of occupant;Disease risk probability calculation module combines disease diagnosis rule with abnormal feature, genetic risk coefficient, input probability type classification and survival analysis model obtains two kinds of probability and is fused into disease risk probability.The application accurately perceives the physiological state of occupant, establishes individualized physiological baseline to improve the precision of abnormal detection, and realizes the accurate prediction of disease risk in two dimensions.

The invention provides a special education long and short term goal formulation and evaluation system and a use method, and the system comprises an information collection module which is used for collecting the personal information of a child, and an IEP formulation module which is used for formulating a long term goal and a short term goal of the learning of the child. The teaching course resource module is used for arranging children to learn courses and providing teaching tools used in the courses; and the intelligent teaching aid learning tool module is used for assisting an educator to carry out auxiliary teaching. Short-term learning and long-term learning targets can be adjusted in time along with teaching development, the learning potential of children is brought into full play, individual demands of the children are met, and continuity and effectiveness of education are ensured.

The invention relates to the technical field of mechanical arms, and discloses a feeding control system and method based on a mechanical arm, and the method comprises the steps: adjusting an orientation image, obtaining a deviation image of a to-be-processed region, obtaining a pixel point of each deviation image, determining a clustering center point of the deviation image, and obtaining a clustering center point of the to-be-processed region; determining a deviation sequence according to the pixel distance between each pixel point and the clustering center point; deviation calibration is generated for pixel points in the deviation sequence, and the deviation value of the grabbed materials is determined according to the first number and the second number; the historical deviation data and the deviation value are compared, whether the initial grabbing force of the mechanical arm is adjusted or not is judged according to the comparison result, a force primary influence value is determined according to the grabbed material and the friction coefficient of the mechanical arm, and a force target influence value is determined according to the force primary influence value and the material weight of the grabbed material; and the initial grabbing force is adjusted according to the adjusting factor. By adjusting the grabbing force, the feeding stability is ensured.