38results about How to "Lower professional threshold" patented technology

The invention discloses a vehicle information remote monitoring and fault diagnosis system. The system comprises an intelligent vehicle-mounted terminal which is installed on a vehicle and is used foracquiring vehicle fault information and real-time state information, a cloud server platform and an intelligent mobile terminal. The system is used for instantly analyzing and processing a vehicle fault, and graphically displaying the various kinds of data of a vehicle on the intelligent mobile terminal. The invention also provides a vehicle remote diagnosis method. When the vehicle has a fault,the vehicle-mounted terminal can automatically transmit a fault code to cloud, a cloud management platform analyzes the fault code and matches a corresponding solution scheme to the user vehicle-mounted terminal, nearby selectable repair manufacturers are pushed to a user via GPS, and the user can check the real-time operation state information of the vehicle through the intelligent mobile terminal APP. Through the intelligent mobile terminal, a driving habit and vehicle fault hidden troubles are checked. A driver can correct a bad driving habit through the mobile terminal and potential safetyhazards of the vehicle are reduced.

The invention provides an intelligent home control system based on a cloud service. The system comprises an intelligent home control subsystem, a cloud service resource and an intelligent home wireless router serving as a communication center, wherein the intelligent home control subsystem and the cloud service resource are in control connection through signal transmission by means of the intelligent home wireless router, and different two-dimensional codes are set for all terminal devices and various functional modules in the intelligent home control system respectively to serve as identification marks of a cloud computing resource control end. The system breaks through the limitation of intelligent home in field and region, a unified system platform which is rich in application service and individualized in personal requirements is formed, the development space in user experience and personal requirements is wider, the system is open and can be applied and promoted conveniently, the professional threshold for customization of the intelligent home control system is reduced, intelligentization of home equipment is accelerated, and the speed for intelligent home to be applied in ordinary families in the true sense is increased.

The invention relates to an image processing method and device, a storage medium and a computer device. The method comprises the following steps of receiving an image to be processed; obtaining recommended attribute adjustment parameters contained in candidate attribute adjustment parameters and corresponding to the image to be processed; displaying prompt information corresponding to the recommended attribute adjustment parameter on the parameter adjustment interface; receiving a parameter adjustment instruction corresponding to the parameter adjustment interface, and determining an actual attribute adjustment parameter corresponding to the parameter adjustment instruction from the candidate attribute adjustment parameters; adjusting the image to be processed according to the actual attribute adjustment parameter to obtain the processed image. The scheme provided by the present application can reduce reliance on human experience and effectively improve the adjustment efficiency.

The invention discloses a dam body three-dimensional deformation monitoring-oriented combined observation method with two ground-based radars. The method comprises the following steps of S1, generating a three-dimensional model; S2, constructing a ground-based radar system; s3, obtaining radar data; s4, fusing the radar data and the three-dimensional model to obtain a fused model; and S5, monitoring the measured target based on the fused model. A three-dimensional model of a key target in a monitoring area is constructed by using a point cloud data set of the monitoring area acquired by a ground three-dimensional laser scanner and an unmanned aerial vehicle oblique photogrammetry technology. Different from an existing calculation result in abstract expression forms of numbers, characters, images and the like, after the three-dimensional model is constructed and used, a result calculated according to data acquired by the ground-based radar can be displayed in front of a user in a more intuitive manner, the professional threshold of interpreting the calculation result is reduced, so that the method can be accepted and applied by vast demanders more easily, and the practicability is higher.

The invention provides a predicting method for a diopter adjusted value (nomogram value) in an SMILE (Small Incision Lenticule Extraction, femtosecend laser small incision matrix lenticule extraction)operation. The method comprises the steps that prior SMILE operation scheme data is preprocessed; the influences of each preoperative parameter and operation parameters on nomogram value setting arerespectively calculated according to information gain (information gain), and the parameters with greater influences on the nomogram value setting are screened; a bagging intensified classifier methodbased on a decision-making tree (REPTree) is adopted to train a classifier, so that the nomogram value in the operation scheme can be predicted; the classifier model is utilized to predict the nomogram value of a new case in the SMILE operation. The predicting method can accurately the nomogram value setting in the SMILE operation scheme within an allowable error range of the operation, thereby providing references and help for doctors to make operation schemes.

The invention provides a two-way intelligent pass identity verification control apparatus and two-way intelligent pass turnstile. The apparatus comprises: a controller body; a main control board disposed on a third mounting portion of the controller body; a turnstile control module for controlling release of the turnstile; a first identity recognition component disposed on a first mounting portionof the controller body facing the exit direction of the turnstile; and a second identity recognition component disposed on a second mounting portion of the controller body facing the entry directionof the turnstile. The first identity recognition component comprises a first camera for face recognition, a first display screen, a first infrared probe and a first identity recognition module. The second identity recognition component comprises a second camera for face recognition, a second display screen, a second infrared probe and a second identity recognition module. The apparatus integratesa two-way identity recognition component in the entry direction and the exit direction to realize the two-way identity verification, thereby achieving the two-way pass control and improving the pass efficiency.

The embodiment of the invention provides a network configuration method and device and electronic equipment, and the method comprises the steps that voice equipment receives a distribution network connection instruction inputted by a user through voice, and transmits an access account and a password of a target network server to discovered to-be-distributed network equipment, and the voice equipment is connected to the target network server; and the voice equipment coordinates the equipment to be subjected to network distribution to perform network distribution connection with the target network server by utilizing the access account and the password. According to the scheme of the embodiment of the invention, the network configuration process can be realized through voice interaction in the whole process, the professional threshold of using IOT equipment by a user is greatly reduced, the user operation experience is improved, and the network distribution efficiency is improved.

The invention discloses a workflow engine management method, system and device and a storage medium, which aim to solve the technical problem that the development and modification process of a processengine is complicated, and the technical scheme is characterized by comprising the following steps of: obtaining architecture information for describing a multi-level organization architecture of a company and personal information of personnel corresponding to each level of architecture; designing a process template required by the workflow, packaging the process template into a template which can be directly called, and storing the template into a template library for storing the template; designing process nodes of the workflow, dragging and sequencing the process nodes, and connecting theflow direction of the workflow through a connecting line; calling the process template to set each process node; and determining the flow direction of the workflow according to the architecture information and the personal information, and driving the workflow to flow among the plurality of flow nodes according to the flow direction of the workflow. The effects of simplifying the workflow modification process and facilitating company personnel to modify and develop the existing workflow are achieved.

The invention relates to the technical field of structure design of ocean platforms, and specifically discloses a jacket platform structure response computing method based on a BP neural network. The computing method comprises the following steps: step one, establishing a BP neural network system, wherein the BP neural network system comprises an input layer, a hidden layer and an output layer, the input layer and the hidden layer are interconnected as the first stage of the jacket platform stress, and the hidden layer and the output layer are interconnected as the second stage of the jacket platform stress; step two, training the BP neural network system; step three, applying the BP neural network system, and inputting any wind, wave and stream environment load combined numerical value into the BP neural network system as an input vector to obtain the corresponding platform structure response. An artificial neural network system established by the invention is applied to compute the structure response of the jacket platform, the structure response quite close to numerical simulation can be immediately obtained by inputting any environment load combination into a neural network system, and the operation is accurate and fast.

The invention belongs to the technical field of satellite remote sensing information intelligent processing, and provides a multi-view optical satellite image target recognition deep learning training sample set construction method. The method includes: screening, collecting and sorting three-dimensional model data and digital line drawing information of the target area, evaluating and analyzing the consistency of the scale, the resolution and the timeliness of the three-dimensional model data and the digital line drawing information, screening data with relatively high consistency, and if the data does not meet the requirements, re-collecting the data until the requirements are met; and based on target labeling and satellite image imaging full-link simulation of a three-dimensional scene, labeling and augmenting the obtained multi-view satellite image. According to the method, the problem that the existing remote sensing image target detection data set cannot meet the multi-view optical satellite image processing requirement is solved, and a technical foundation is laid for the application of the multi-view satellite image in target recognition.

The invention discloses an evidence-based method for screening gastric cancer prognosis molecular markers. The method comprises the steps as follows: 1), an inclusion criterion is set for a gastric cancer prognosis biomarker experimental research; 2), a research evidence retrieval strategy is set; 3), the prognosis biomarkers are screened preliminarily; 4), research data are extracted; 5), quality assessment on the experimental research quality is performed; 6), standardized data are processed; 7), the prognosis biomarkers are screened; and 8), according to the screening criterion, the gastric cancer prognosis biomarkers having potential application values are screened, and the prognosis values are described. In conclusion, the evidence-based method for screening the gastric cancer prognosis biomarkers is provided, and the gastric cancer prognosis biomarkers are screened, so that the screening cost is reduced, the screening time is shortened, professional thresholds are reduced, and the application values of the prognosis biomarkers are increased.

The invention discloses a bearing abnormity detection method and related equipment, which are applied to a vibration detection device. The method comprises steps as follows: when the bearing vibrationcondition of detected equipment is determined to be abnormal, bearing vibration data of the detected equipment are acquired; a preset vibration detection algorithm is called to process the bearing vibration data, and bearing vibration information is obtained, wherein the bearing vibration information is used for describing bearing vibration of the detected equipment; and on the basis of the bearing vibration information, abnormal parts and abnormal causes of a bearing of the detected equipment are determined. With the adoption of the method and the related equipment, the detection efficiencyof the bearing abnormity can be improved.

The embodiment of the invention provides an intelligent aided design method and device and electronic equipment, and the method for obtaining a design document comprises the steps: determining the design key information of a to-be-designed product of a user and the attribute information of the product; retrieving a matched design document from a design library according to the design key information and the attribute information of the product; recommending and displaying the matched design document to the user, so that the user determines a reference design document for the to-be-designed product; wherein the design library is established based on the attribute information of the product. According to the scheme of the embodiment of the invention, the design efficiency of a designer can be effectively improved, the intelligent manufacturing level is improved, and the design of the designer is guided to develop towards digitization.

The invention provides a software- designedpet disease intelligent diagnosis and treatment system. According to the technical scheme, the pet disease intelligent diagnosis and treatment system is designed according to the requirements of pet farmers and pet doctors, and the pet disease intelligent diagnosis and treatment system has two versions according to different user objects: a user-version pet disease intelligent diagnosis and treatment system for the pet farmers to focus on disease diagnosis through body surface clinical symptoms; and a professional-edition pet disease intelligent diagnosis and treatment system for pet doctors to focus on disease diagnosis through two aspects of body surface clinical symptoms and laboratory diagnosis. According to the provided disease information, rapid and intelligent disease diagnosis is achieved through software, similar diseases and mixed infection which are difficult to identify can be diagnosed and treated, a diagnosis result and a treatment method are obtained, the accuracy and the cure rate of disease diagnosis and treatment can be remarkably improved for a user, the misdiagnosis rate and the death rate of pets are reduced, and the application prospect is huge.

The invention discloses an accounting accounting management system and device based on single accounting, and relates to accounting management systems and devices. The invention aims to solve the problems of long operation time, low efficiency and easiness in making mistakes due to the fact that an accounting management system in the current market mainly depends on a compound accounting method. The system comprises a flow account navigation module used for providing classification navigation for a flow account; the accounting behavior simplex accounting recording module is used for providinga corresponding classification space and a database according to a specific event of a user, so that the user writes in the corresponding event and matches, operates and stores records of the classification space; the mapping table logic matching module is used for matching a flow event input by a user with standard accounting subjects and rules in the mapping table logic database, and associatinga flow account of the simplex record with an existing duplex loan accounting method; and the accounting document automatic generation module is used for updating the value of the flow account recordto the subject balance table according to the result of the mapping table logic matching operation. The method is mainly used for accounting and management.

The invention discloses a mold design template of a refractory product and a method for automatically checking mold cost. The method comprises the following steps of: ; the method comprises the stepsof using S1, VB.net or C # and other development tools supporting COM programming; calling an API (Application Program Interface) function provided by SolidWorks to carry out secondary development onthe SolidWorks, and compiling the SolidWorks into a. EXE file or generating a SolidWorks plug-in in combination with a refractory product mold design rule algorithm; and S2, selecting the type of a product to be designed and inputting size parameters in a refractory product type selection module, calculating the mold cost by the system, and printing a mold drawing. The method has the beneficial effects that 1, the professional threshold of mold designers is reduced, and the automation degree and the working efficiency of drawing design are improved; and 2, the method is very simple to use, andthe mold drawings of the refractory products can be designed in batches as long as the production process of the refractory products is understood.

The invention discloses an equipment knowledge base construction method based on digital and intelligent application. The method comprises the following steps: 1, ; five key fields of an asset structure, a fault mode, a fault reason, a maintenance strategy and a health index description fault or defect are distributed in an asset structure library, a fault mode library, a maintenance strategy library and a health index library, and an equipment knowledge base is constructed; by analyzing the internal logic among different fields, the incidence relation among the fields is established, four standard libraries are established, and an equipment knowledge base is constructed. According to the method, the solving efficiency can be improved, the labor cost is reduced, Meanwhile, an enterprise isassisted to formulate a maintenance strategy better conforming to the enterprise and gradually form a knowledge base.

The invention discloses a thematic charting system based on a web technology. The thematic charting system comprises a data collection and acquisition system, a data repetition removal system, a graph splitting module system, a splitting module redefinition system, an information demand editing input device, a graph modularization recombination system, a charting system, an industry regulation and graph output specification, an image sharpening renderer and a formed graph output end. The invention belongs to the technical field of network charting, particularly relates to a web technology-based thematic charting system, effectively solves the problems of high charting requirements and low charting efficiency in the existing market, and provides a method for making a reasonable thematic map by a person without or with little charting knowledge, solving key technologies and problems and improving the charting efficiency. Therefore, the professional threshold of thematic map making is lowered, the thematic map making efficiency is improved, the application range of thematic map making is widened, and the thematic map making system based on the web technology is automatic, intelligent and rapid in thematic map design and making.

The invention belongs to the technical field of remote sensing information processing, and provides an automatic construction method of an optical satellite image feature matching deep learning training sample set, which performs full-link simulation on a satellite imaging process, and obtains a simulation image and corresponding internal and external orientation elements by using a reference image and a digital elevation model; feature extraction is made on the reference image and the simulation image by using a gray scale-based or feature-based method to obtain a plurality of feature points;a reasonable search range is set and whether the search range is a homonymous point or not is veridied; feature points on the reference image are calculated one by one, and construction of a positivesample set is completed; a certain number of feature points on the reference image and the simulation image are randomly selected to construct a negative sample set; the optical satellite image feature matching deep learning training sample set automatic construction method without manual annotation is realized so that the efficiency and the reliability of sample set construction can be greatly enhanced and the cost and the professional threshold can be reduced.

The invention provides a method for predicting a diopter adjustment value (Nomogram value) in an SMILE (Small Incision Lenticule Extraction) refractive surgery based on a Softmax regression algorithm.The method comprises the steps that screening, discretization and other pretreatment are carried out on original data, the discretized Nomogram value serves as a category label; a Softmax hypothesisfunction and parameter matrixes of the Softmax hypothesis function are initialized, and a gradient descent method is utilized to obtain the parameter matrix minimizing a cost function; the optimal parameter matrix is substituted into the Softmax hypothesis function to obtain a regression model; and the regression model is utilized to predict a Nomogram reference value applied in an SMILE surgery plan. The method can predict the Nomogram value of a new case more accurately and more stably within the range of the error that the SMILE surgery allows, and provide reference and help for doctors tomake surgery plans.

The invention discloses a vehicle information remote monitoring and fault diagnosis system, comprising: an intelligent vehicle-mounted terminal installed on a vehicle for obtaining vehicle fault information and real-time status information, a cloud server platform, and an intelligent mobile terminal for real-time diagnosis of vehicle faults Analyze and process, graphically display various vehicle data on the smart mobile terminal. The present invention also provides a vehicle remote diagnosis method: when the vehicle fails, the vehicle-mounted terminal can automatically transmit the fault code to the cloud, and the cloud management platform analyzes the fault code and matches the corresponding solution to the user's vehicle-mounted terminal, which can also be pushed by GPS Nearby optional repair manufacturers can also provide users with real-time running status information of vehicles through the smart mobile terminal APP, driving habits and hidden dangers of vehicle failures through the smart mobile terminal, and drivers can correct bad driving habits through the mobile terminal to reduce car damage. Security risks.

The invention provides an automatic prediction method and system for dispatch cost. The method comprises the steps of: receiving a first input related to a dispatch task, and obtaining a target prediction template from a prediction template library through matching, wherein a plurality of cost projects needing cost prediction are displayed in the target prediction template; determining all prediction parameters related to each cost project, wherein each prediction parameter is associated with a dispatch task; calling a cost calculation formula of each cost project to calculate the cost of each cost project by using the prediction parameters; and generating a prediction report, wherein the prediction report records the cost of each cost project. According to the automatic prediction method and system for the dispatch cost, a prediction template library is constructed in advance, and the cost calculation formula of each cost project is preset, so that a set of cost prediction model is constructed, which can calculate the corresponding dispatch cost according to different dispatch tasks and greatly reduce the professional threshold of cost prediction, is easy to operate and effectively free the labor force of staff.

The invention discloses a remote continuous guidance method based on a head-mounted computer, and the method comprises the following steps: in the instant communication process of an on-site operator and a remote expert, the head-mounted computer shoots a first visual angle video of the on-site operator, and the remote expert makes a guidance graph on the computer, and pushes the guidance graph to the head-mounted computer; an independent display window is arranged on a computer of a remote expert, and the independent display window always displays a real-time picture of a first-view video of an on-site operator. When the guidance diagram is made, the first view angle video of the field operator displayed on the remote expert computer does not need to be in a pause state, and the remote expert can watch the real-time picture of the first view angle video of the field operator at any time, so that the remote expert is prevented from being in a blind area period, the method is convenient for remote experts to dynamically adjust guidance steps according to on-site changes, so that the efficiency of remote guidance is greatly improved, and the accuracy and effectiveness of on-site problem guidance are greatly improved.

The invention discloses an evidence-based method for screening gastric cancer prognosis molecular markers. The method comprises the steps as follows: 1), an inclusion criterion is set for a gastric cancer prognosis biomarker experimental research; 2), a research evidence retrieval strategy is set; 3), the prognosis biomarkers are screened preliminarily; 4), research data are extracted; 5), quality assessment on the experimental research quality is performed; 6), standardized data are processed; 7), the prognosis biomarkers are screened; and 8), according to the screening criterion, the gastric cancer prognosis biomarkers having potential application values are screened, and the prognosis values are described. In conclusion, the evidence-based method for screening the gastric cancer prognosis biomarkers is provided, and the gastric cancer prognosis biomarkers are screened, so that the screening cost is reduced, the screening time is shortened, professional thresholds are reduced, and the application values of the prognosis biomarkers are increased.

The invention discloses a battery performance remote diagnosis system. The system comprises a battery management system, a data background and a mobile terminal. The mobile terminal is used for remotely setting diagnosis parameters and remotely sending a diagnosis command. The battery management system is used for carrying out the diagnosis command and carrying out diagnosis to generate diagnosisdata. The data background is used for storing the diagnosis parameters, comparing the diagnosis parameters with the diagnosis data, generating a diagnosis data packet, and remotely sending the diagnosis data packet to the mobile terminal. A battery performance remote diagnosis method comprises the following steps of S1, generating the diagnosis parameters; S2, collecting information data of a to-be-diagnosed lithium battery; S3, carrying out diagnosis analysis, generating a diagnosis data packet and transmitting the diagnosis data packet back; and S4, carrying out display output. According tothe system and the method, equipment and mounting of an independent diagnosis device are avoided, so battery detection cost is reduced, diagnosis operation is simple and practicable, and remote diagnosis performance and efficiency are greatly improved.

The present invention provides a method for predicting the diopter adjustment value (nomogram value) in SMILE (Small Incision Lenticule Extraction, femtosecond laser small incision matrix lens extraction) refractive surgery, the method comprising: prior SMILE operation plan data Perform preprocessing; calculate the influence of each preoperative parameter and surgical parameter on the formulation of the nomogram value according to the information gain (information gain), and screen out the parameters that have a greater impact on the formulation of the nomogram value; use the bagging-enhanced classification based on the decision tree (REPTree) A classifier method is used to train a classifier to predict the nomogram value in the operation plan; the classifier model is used to predict the nomogram value of a new case in the SMILE operation. The invention can accurately predict the formulation of the nomogram value in the SMILE operation plan within the allowable error range of the operation, thereby providing reference and help for doctors to formulate the operation plan.

The blind sidewalk problem inspection method comprises an information acquisition end, a blind sidewalk detection processing system and a detection result output end, the system is characterized in that the information acquisition end comprises information acquisition equipment, images acquired by the information acquisition equipment contain geographic position coordinate information, the acquired information is transmitted to the blind sidewalk detection processing system, and the blind sidewalk detection processing system detects the corresponding images, judges and classifies blind sidewalk conditions in the images and checks out defective blind sidewalks. And the obtained blind sidewalk construction and use condition classification result and the geographic position coordinate information of the corresponding image are integrated to generate a blind sidewalk construction and use condition feedback report, and the feedback report is output through a detection result output end. According to the method, the blind sidewalk conditions in the image can be judged and classified, the blind sidewalk problem can be checked, and a blind sidewalk construction and use condition feedback report is output through a detection result output end; municipal administration departments and blind sidewalk rectification construction units are assisted to grasp the overall construction condition of the regional blind sidewalk, and technical support is provided for targeted rectification. Intelligent troubleshooting, identification and classification are carried out; and the professional threshold of workers can be reduced.

Embodiments of the invention provide a shader-based data processing method and device, and electronic equipment. The method comprises the steps of obtaining a selection operation of a user for at least one pre-configured shader, and determining a target shader which corresponds to the selection operation and is used for creating a material; determining each preprocessing macro corresponding to thetarget shader for the material attribute and at least one variable parameter having a dependency relationship with each preprocessing macro; performing display processing on each preprocessing macroand at least one variable parameter having a dependency relationship with each preprocessing macro through a corresponding visual control; and based on each visual control, receiving configuration information related to the variable parameters and / or configuration information related to the preprocessing macros input by a user, and using the configuration information and / or the configuration information to create a material. According to the embodiment of the invention, the user can visually know the coloring process, the user can dynamically modify the coloring process conveniently, and the effect of simplifying the editing mode of the coloring process is achieved.