49results about How to "Give full play to subjective initiative" patented technology

The invention discloses a man-machine cooperation path planning method for an agriculture mobile robot based on a cloud model. The method comprises the following steps: dynamically guiding an algorithm A*(DGA*) to perform man-machine cooperation path planning, combining professional knowledge, hobbies and the like of people to form an expert system, introducing online uncertainty reasoning based on the cloud model, and realizing a rapid path planning strategy. The invention achieves the following beneficial effects that the agriculture mobile robot is taken as a research object, a large amount of experimental data are processed at the cloud by using the online cloud reasoning method based on man-machine cooperation, the time delay is greatly reduced, and the real-time reliability of autonomous path planning of the agriculture mobile robot is improved. By combining the man-machine cooperation path planning method based on the cloud model and the algorithm DGA*, the subjective initiative of people is fully exerted, the autonomous walking requirement of the agriculture mobile robot in a complicated dynamic environment is guaranteed, and the agriculture mobile robot has excellent operating performance for avoiding static and burst / dynamic obstacles.

The invention relates to infant motion playing and teaching system and education method capable of enabling infants to obtain joys and good formative education during motion. Communication interfaces of one or more touch sensitive display devices are respectively connected with a communication interface of a detection controller; power interfaces of one or more touch sensitive display devices 1 are respectively connected with a power supply of the detection controller; each touch sensitive display device comprises an MCU (Microprogrammed Control Unit), a plurality of light-emitting touch sensitive display modules, the communication interface and the power interface, wherein the signal ends of the plurality of light-emitting touch sensitive display modules are connected with the signal output ends of the MCUs; the communication interfaces and the power interfaces are respectively connected with the signal ends of the MCUs; and the signal ends of the MCUs inside the detection controllerare respectively connected with the signal end of a language output circuit, the signal end of a display module, the signal end of a storage, the power supply, an inner communication interface and anouter communication interface.

The invention relates to a fixture device of a deepwater floating platform rib anchor chain sensor. The device is characterized by comprising a T-shaped fixture body, self-locking devices and a sensor bearing cylinder; three ends of the T-shaped fixture body are respectively provided with one self-locking device; and the sensor bearing cylinder is horizontally fixed on the wing plate of the T-shaped fixture body. The device disclosed by the invention is not only used for effectively preventing the installed sensor from sliding along a chain ring but also used for preventing the sensor from rotating relative to the chain ring and ensuring the good in-place working state of the sensor. Simultaneously, a diver serves as an installation carrier; the diver can sufficiently play subjective initiative; more complex works can be completed; and installation risks resulted from reasons, such as improper operation, ocean current disturbance and the like, can be reduced.

The invention provides a chatting method and device based on an intelligent chatting robot. The method comprises the following steps: preliminarily confirming content capable of answering a question of a user on the basis of the existing chatting content; taking the content as the behavior distribution of the answering content; analyzing a user requirement according to the chatting content and the acquired environment information; constructing a conversation scoring function according to an analyzing result; taking the pretreated chatting content and the environment information as input, taking the behavior distribution as a category and utilizing a convolution neural network CNN to train, thereby acquiring the behavior with the maximum value of the conversation scoring function under a present state; and taking as the answering content and outputting. Thus, a conversation motivation is confirmed, and the answer is supplied according to the user requirement, so that the accuracy of the answering content is guaranteed, and the user problem is effectively solved.

The invention discloses lithium ion battery consistency matching method and system, wherein the lithium ion battery consistency matching method comprises the following steps of: A, marking at least one battery, setting the battery on a corresponding test channel and inputting the mark in a database; B, respectively sending two alternating-current pulse signals with different frequencies to the battery and collecting response signals of the battery; C, carrying out data transformation treatment on the collected response signals to obtain Rs, Rct and Rs+Rct of the battery; and D, comparing and screening the differences among the obtained Rs, Rct and Rs+Rct of the battery and inputting battery numbers corresponding to all the screened data into the database. The lithium ion battery consistency matching method provided by the invention is based on the basic electrochemical nature of the battery, so that the operation method is simple, the reliability of test result is high, the method conforms to the practical situation of the battery, the expression is simple and the parameters required by screening are flexible.

The invention disclose a demand tracking system and method based on user feedbacks; the system comprises a monitor module, an analysis module, a recommend module and a maintenance module; the monitor module is used for receiving input software products and receiving user provided feedback information, wherein the feedback information comprises a preference cluster and a disgust cluster; the analysis module is used for analyzing the software products so as to obtain user focused candidate track relation features; the recommend module is used for calculating similarities between software products, preference cluster and disgust cluster, thus selecting candidate software product with similar preference cluster different disgust cluster, and recommending the candidate software product to a user; the maintenance module is used for storing a user operation history record. The product relation information is more comprehensive, and comprises grammar, meaning and position association; a positive-negative feedback mechanism is added so as to improve final recommend list accuracy; by using an iteration exploration process, the developing personnel can improve developing practices.

The invention provides a rehabilitation training system and method based on a motor imagery-brain-computer interface and virtual reality. An electroencephalogram signal of a subject in a rehabilitation process is collected in real time through an electroencephalogram signal collection device, and the electroencephalogram signal is preprocessed; feature extraction is performed on the preprocessed electroencephalogram signal, and a motor imagery intention recognition model is established based on extracted features; training exercise scenes in a first-person visual angle and a third-person visual angle are developed, and the training exercise scenes are rendered through a VR helmet; the subject selects two different visual angles for training in the VR environment, the subject performs motor imagery according to prompts, and when the subject imagery is recognized, corresponding limbs in a scene complete corresponding actions; rehabilitation training is scored according to quantitative indexes of the brain region activation degree related to the motor imagery of the subject obtained by performing brain network analysis on the electroencephalogram signals of the subject, and a rehabilitation report is generated. The rehabilitation training system can achieve a good rehabilitation training effect.

An achieving method of a competitive group action decision support system integrates artificial intelligence, computer simulation, data mining, visualized modeling and a dynamic virtual battlefield space establishing technology, and establishes an action plan simulation deduction tool which can be understood by a user and does not need underlying programming through a standardized action environment element model library, a confrontation object model library and an action rule library. By means of the achieving method, establishment of a standardized action model integration deduction system is achieved, unification of ordinary-time accumulation, individualized application, mathematical model, intuitive graphical and action process and possible ending is achieved, the scientization and accuracy of action scheme deduction are improved, and support on individualized scientific decision making of the user is achieved.

The invention provides a closed-loop control system for a wrist rehabilitating exoskeleton based on force feedback. The closed-loop control system comprises a driving force closed-loop control module, the exoskeleton and a pressure sensor; the exoskeleton comprises a linear motor and a spring steel sheet; the exoskeleton drives the spring steel sheet through the linear motor, and then the spring steel sheet drives the wrist to move; the pressure sensor is used for collecting actual driving force of the exoskeleton; the driving force closed-loop control module is used for setting control cycles and expected driving force, and the actual driving force is collected once in each control cycle in the wrist moving process; and the magnitude of the expected driving force and the actual driving force is compared in the current control cycle, and according to the expected driving force and the actual driving force, the stroke increment of the linear motor is calculated and superimposed to the stroke amount of the linear motor in the previous control cycle to serve as the stroke amount of the linear motor in the current control cycle to be output. Force feedback can be achieved, thus the driving force of the exoskeleton reaches the specified force value, and the risk of secondary damage to the wrist is reduced.

The invention discloses a mobile network user perception analysis system and a mobile network user perception analyzing method based on big data; the system comprises a collection layer, a data sharing layer and an application layer; the collection layer comprises an intelligent collection module used for collecting a signaling and message flow of a current RNC (radio network controller) generated by a GPEH (general performance event handling) platform from an OSS (open source software) according to a preset frequentness; the data sharing layer comprises a data sharing module used for processing the signaling and message flow obtained from the module of the collection layer and then providing the flow for a customer perception multidimensional data module; the application layer comprises a customer perception multidimensional data module and a network real-time monitoring module; the customer perception multidimensional data module is used for modeling a customer perception and providing a perception model with multiple dimensions for a customer; the network real-time monitoring module obtains interface data from the customer perception multidimensional data module and carries out real-time monitoring, tracking and warning. The system and the method disclosed by the invention have the big data analysis function, thereby creating a condition for fine network planning in a global scope; a network structured analysis and a network difficult problem depth analysis can be realized.

The invention discloses a zinc flotation condition judgment method based on an improved self-adaptive multi-population genetic algorithm which is applied to a foam flotation process. The method comprises the following steps of using a foam image feature data set obtained in real time as an initial training population; adding selections of an experiential worker, and on the basis of the selection, considering subjectivity of manual selection and influence degree of the environment, adding a subjective factor coefficient, namely subjectively judging an offset interval, evaluating and judging whether the current selection is within an error allowable range or not, thereby controlling the subjective influence of the human to be within a certain range. In the whole process, the current good working condition is fed back in real time. Population adjustment is conducted through the working condition returned in real time. Real-time refreshing of the optimal solution is achieved. The influence of grade value changes of different raw ore piles is reduced, and finally effective control over the grade value and the recovery rate is achieved.

The invention discloses a user exploration type information exhibiting method based on a visualization technology. The user exploration type information exhibiting method comprises the following steps: 1, preprocessing collected data backstage and then visually displaying the processed data on a map interface, wherein the collected data comprises GIS (Geographic Information System) data and statistical data, and the statistical data comprises different dimensions of information related to the GIS data; 2, establishing a color lump view by a plurality of display areas according to the statistical data, and representing the different dimensions of information of the statistical data by using color and transparency of a color lump; 3, providing selection of an area-of-interest area for a user. The user exploration type information exhibiting method can be used for presenting various statistical data more intuitively and conveniently, and provides convenience for the user to observe the relationship among various areas and the comparison condition; in addition, prior domain knowledge of the user can be added to a whole model in the inquiry process, so that the knowledge of the user and machine intelligence are combined, the advantages are exerted, and the information exhibiting method is helpful for the user to make a decision more efficiently.

Disclosed is a deep sea manual hydraulic driving type disposable ballasting device. The deep sea manual hydraulic driving type disposable ballasting device comprises a hydraulic driving mechanism, an operating mechanism and a ballast. The hydraulic driving mechanism is a manual hydraulic pump which is arranged in a cabin body of a deep sea manned submersible device. The operating mechanism is a hydraulic cylinder which is located at the exterior of the cabin body. The manual hydraulic pump is connected with an oil inlet opening of the hydraulic cylinder through a cabin-penetrating pipeline. A cabin body of the hydraulic cylinder is fixedly connected with the deep sea manned submersible device. A piston rod of the hydraulic cylinder is connected with a pin shaft through a universal joint. The universal joint comprises a ball head of the head part of the piston rod and a groove matched with the ball head on the pin shaft. The ballast is provided with a first lifting lug. The deep sea manned submersible device is fixedly connected with a second lifting lug. Lug holes of the first lifting lug and the second lifting lug are movably connected with the piston rod in a penetrated mode. The pin shaft is driven to be engaged or disengaged from the first lifting lug through axial moving of the piston rod. According to the deep sea manual hydraulic driving type disposable ballasting device, through direct manual control of operators in the cabin body of the deep sea manned submersible device, load rejection can be achieved, and the load rejection is reliable, stable and safe.

The invention discloses a user-defined database interaction dialogue generation method and system, and the method comprises the steps of obtaining an action of a previous dialogue round, receiving a text inputted by a user if the action is a receiving operation action, and extracting an intention and an entity of the text inputted by the user through a natural language understanding module to update a dialogue state so as to generate the current dialogue information; converting the updated dialogue state into a binary vector, synchronously updating the binary vector into the historical dialogue information, and generating an execution action according to the current dialogue information and the historical dialogue information; if the execution action is not the receiving operation action,judging whether the execution action needs to retrieve the database or not; if yes, taking the user expectation as a retrieval condition to retrieve the database, and fusing a retrieval result with apreset template to generate a reply action for the user; if not, generating a reply action to the user directly by selecting any one of the predefined templates. According to the method, the user autonomously selects a database query result, so that the user experience is improved.

The invention discloses an interactive building engineering construction quality control method. The method comprises the steps that one, a BIM model and a building presenting model are established; two, interactive modules are developed by using a game developing engine, and AR functions are added; three, system integration is conducted and published to different platforms; four, pre-control, concurrent control and ex-post control of quality are conducted by using a developed system; five, quality control circulation management is conducted until the construction process is completed. By means of the method, the working efficiency of construction quality control management activities can be significantly improved, enterprises are helped in product quality improving to save construction cost, and the method is conformed to the concept of green construction; the problems of non-specific disclosure and training communication manners, nonuniform quality sample manufacturing and failing toreflect on-site control targets during the traditional quality control process are solved.

The invention discloses a hand rehabilitation robot system. The system comprises a main control device in wireless communication with an upper computer, two executing mechanisms acting on the hands ofa user respectively, a sensing component used for collecting motion information and a system state, and an electrical stimulation component used for applying electrical stimulation to the user. The main control device is connected with the executing mechanisms, the sensing component and the electrical stimulation component and controls the components. The main control device comprises an MCU module, an interaction module, a driving module, a data acquisition module, an electrical stimulation module and a power supply module, wherein the MCU module serves as a main control module and is used for processing data uploaded by all the modules and receiving and issuing control instructions so as to control the executing mechanisms to work in various training modes. Compared with a traditional rehabilitation training method, the system has the advantages that the human-computer interaction performance is high, the proper training modes can be selected for patients with different muscle strength levels, and a cooperative motion control strategy is fused into rehabilitation training and daily life assistance.

The invention discloses a human-oriented autonomous traffic-based vehicle motion simulation method. The method comprises the steps of determining a vehicle motion simulation model; constructing human-oriented autonomous traffic rules; and based on the rules, performing vehicle motion simulation. Specifically, firstly the vehicle motion simulation model is given, wherein motion simulation includesvehicle following motion simulation and lane change motion simulation; secondly reward and punishment rules of a driving credit value of a driver and traffic resource values are proposed; and finallya reward and punishment result obtained based on the rules by the driver is fused in the vehicle motion simulation, and simulation is performed according to change of a driving tendency of the driver.According to the method, organic combination of people, vehicles and traffic resources is reflected; the leading role of subjective initiative of the driver is fully exerted through an economic means; and the leading effect is achieved for research and application implementation of a future traffic management mechanism.

The invention relates to a subsection adjusting method for a finish rolling plate shape. The method comprises the steps that 1, a front-section machine frame of a finish rolling unit is adjusted, andthe front-section machine frame is adjusted and divided into a rolling start stage, a box type hole building stage and an expansion stage according to the roller period length; and 2, a rear-section machine frame of the finish rolling unit is adjusted, the plate shape adjusting way of the rear-section machine frame of the finish rolling unit is inverted adjusting, and the rear-section machine frame is adjusted and divided into a biting state, a rolling state and a steel throwing state according to the whole rolling process of strip steel. The manual control ability of the finish rolling unit plate shape can be improved, the plate shape adjusting way is changed from a passive way into an existing active way, the finish rolling plate shape quality is improved, the accidents of drift and steel clamping caused by sudden changing of the plate shape are reduced, the production line yield and stable production ability are improved, and the production cost is reduced; and personalized customization requirements are met, and a series of problems that production line client development, product expansion and the like are affected are solved.

The invention provides a non-preheating welding method of a 750MPa-grade high-strength steel medium-thickness plate for a hydraulic support. The non-preheating welding method comprises the following steps: assembling parts into a hydraulic support structural part assembly; carrying out manual tack welding on all welding seams of the assembled hydraulic support structural part assembly; carrying out manual overall backing welding on the hydraulic support structural part assembly subjected to manual tack welding; carrying out overall backing welding on the hydraulic support structural part assembly subjected to manual overall backing welding through a welding robot; and carrying out filling welding and cosmetic welding on the hydraulic support structural part assembly subjected to overall backing welding through the welding robot one welding bead after the other through the welding robot. The non-preheating welding method of the 750MPa-grade high-strength steel medium-thickness plate for the pressing support has the advantages that the design is scientific, the preheating step is not needed, the welding quality can be guaranteed, and application and popularization are easy.

The embodiment of the invention provides a character recognition method and system, computer equipment and a storage medium. The method comprises the steps: receiving to-be-recognized character pictures sent by a demander; respectively distributing each to-be-identified character picture to a plurality of third-party systems using a verification code system so that each third-party system sends editable characters which are identified by a user, are manually input and correspond to the to-be-identified character picture to the verification code system; and processing the editable characters corresponding to each to-be-identified character picture sent by each third-party system according to a preset rule to obtain all confirmation characters corresponding to each to-be-identified characterpicture, forming an editable document from the confirmation characters, and sending the editable document to the demand. According to the embodiment of the invention, the to-be-recognized text pictures are distributed to the plurality of third-party systems through the verification code system, and the fuzzy texts in the to-be-recognized text pictures are correctly recognized by utilizing the cognitive competence of each third-party system user, so that the accuracy of paper text electronization is improved.

The invention discloses a family-based educational activity collaborative evaluation system, which comprises a user module used for acquiring and verifying identity information of an object; a management module used for configuring the authority of the object according to the identity information and configuring indexes; a business module used for evaluating the published content according to theindexes; and a data module used for processing and storing the identity information and the evaluation. The objects comprise teachers, students and parents; parents and students form a family group; teachers can manage the family group through students, and parents can also effectively pay attention to and know the learning or life-related conditions of the students in real time in the form of thefamily group, so that the students and the parents can perform comprehensive interaction among multiple persons at the same time, and the parents and the teacher are helped to know and promote the family conditions of the students and the students.

The invention provides a quick-mounting windproof device for preventing a low wooden house from being subjected to storm disasters. The quick-mounting windproof device comprises a scaffold, a plurality of windproof nets and a plurality of concrete balancing weights. According to the device, the scaffold is used as a base, the windproof nets are bound to the scaffold, part of wind is blocked and part of wind is allowed to pass through through holes in the windproof nets, strong wind is changed into weak wind, and impact force and destructive force on a low wooden house located behind the windproof nets are avoided, so that the effects of preventing and reducing disasters and protecting residential buildings are achieved; the scaffold is widely applied, is simple and easy to obtain, and canbe simply and quickly built, and the windproof nets can also be simply and quickly bound on the scaffold; too much professional skills are not needed for building the scaffold, ordinary residents canbuild the scaffold around their own houses, and participation of everyone and family members is achieved; and the device can be rapidly disassembled, is used as a household standing emergency tool, and is simple in structure, low in cost and easy to popularize and apply in a wide range.

The invention provides a low-preheating welding method for a Q690-grade quenched and tempered steel medium-thickness plate for a hydraulic support. The Q690-grade quenched and tempered steel medium-thickness plate is a low-alloy high-strength steel plate which is high in carbon content and crack sensitivity index and has the thickness of 40-80 mm through the quenching and tempering technology. The low-preheating welding method comprises the steps that parts are assembled into a hydraulic support structural part assembly; the assembled hydraulic support structural part assembly is preheated at the low temperature; the preheated hydraulic support structural part assembly is subjected to manual overall backing welding; the hydraulic support structural part assembly subjected to manual overall backing welding is subjected to multi-pass filling welding through a welding robot, and the large penetration function of the welding robot is started during first-pass filling welding; and multi-pass cosmetic welding is performed on the hydraulic support structural part assembly subjected to filling welding by the aid of the welding robot. The low-preheating welding method for the Q690-grade quenched and tempered steel medium-thickness plate for the hydraulic support has the advantages that the design is scientific, only low preheating is needed, the welding quality can be guaranteed, and the production cost is low.

The invention discloses an intelligent terminal equipment based traditional Chinese medicine pulse condition acquisition method for independent pulse taking. When a user needs to apply a pulse-takingpressure according to pulse-taking pressure applying reference waves, closed-loop feedback is formed through human brain judgment analysis of the user, and accordingly dynamic pulse-taking pressure regulation is completed. If the user is a doctor who does not need to apply the pulse-taking pressure according to the pulse-taking pressure applying reference waves, the doctor can complete dynamic operation through inspection, listening and smelling, inquiry and palpation and own initiativity. Pulse-taking and measuring can be realized on the basis of the pulse-taking pressure applying reference waves under a measuring mode provided by a database, floating pulse, moderate pulse and deep pulse taking skills are realized, professional requirements on the user and technical threshold are lowered,and convenience in extensive popularization is achieved. The doctor can initiatively participate in a whole dynamic process of pulse taking and measuring to operate according to experience data of the doctor. The equipment serves as an auxiliary tool for the doctor to take the pulse independently, and initiativity of the doctor is brought in through complete participation of the doctor in the independent pulse taking process.

The invention discloses an automobile safety artificial intelligence housekeeper system based on big data and an operation mode of the automobile safety artificial intelligence housekeeper system, theautomobile safety artificial intelligence housekeeper system comprises a big data platform, a mode recognition module, a visualization module and an intelligent management module, and the big data platform is connected to the mode recognition module and the visualization module at the same time; the mode recognition module, the intelligent management module and the visualization module are connected in sequence, and the mode recognition module is connected to the visualization module. According to the invention, the latest data can be automatically acquired from the big data platform, the data required in the intelligent management module is extracted or generated through pattern recognition, multiple intelligent vehicle safety management functions are realized based on the big data and in combination with artificial intelligence, and the system interacts with a user in real time through the visualization module. A mobile phone APP can be embedded, a user can use the system anytime and anywhere without geographical limitation, the system is high in real-time performance and rich in function, the safety of a vehicle is greatly improved, and the driving safety awareness and the traffic public security order of the user can be improved.

The invention discloses a self-defined database interaction dialog generation method and system. The method includes: acquiring the action of the last dialogue round, if the action is a receiving operation action, receiving user input text, and extracting user input through a natural language understanding module The intent and entity of the text to update the dialogue state to generate current dialogue information; convert the updated dialogue state into a binary vector, and update it to the historical dialogue information synchronously, and generate execution actions according to the current dialogue information and historical dialogue information; if the execution action is not In order to receive the operation action, judge whether the execution action needs to search the database; if necessary, use the user's expectation as the search condition to search the database, and combine the search results with the preset template to generate a reply action to the user; if not, directly from the Choose one of the predefined templates to generate a reply action to the user. In this method, the user independently selects the query result of the database, which improves the user experience.

The invention discloses a zinc flotation working condition discrimination method based on an improved self-adaptive multi-population genetic algorithm, which is applied in the froth flotation process, and the foam image feature data set obtained in real time is used as the initial training population, and experienced workers are added On this basis, taking into account the subjectivity of manual selection and the degree of influence by the environment, add subjective factor coefficients, that is, the subjective judgment can be offset, and re-evaluate to determine whether the current selection is within the allowable range of error. In this way, the human subjective influence is controlled to a certain range. During the whole process, the current good working conditions are fed back in real time, and the population adjustment is carried out with the working conditions returned in real time, so as to realize the real-time refresh of the optimal solution and reduce the influence of changes in the grade values ​​of different raw ore piles, so as to achieve the final adjustment of the grade value and Effective control of recovery rate.