52results about How to "Reduce misunderstanding" patented technology

The invention discloses a visual network freight platform transportation transaction management system. The system comprises an order management module, a vehicle scheduling module, a transportation monitoring module, a transaction settlement module and a visual display module. Each module has innovative functions, such as order intelligent classification, vehicle optimization scheduling algorithm to minimize comprehensive cost, real-time monitoring and accurate settlement. The corresponding management method adopts advanced technologies to ensure efficient operation of each link, including block chain recording, intelligent contract settlement and the like. The whole system realizes efficient management, real-time monitoring and convenient visualization of transportation transaction of a freight platform, and improves the efficiency and quality of logistics transportation; according to the visual network freight platform management system, efficient and accurate order management is realized, vehicle scheduling is optimized, the cost is reduced, comprehensive and real-time transportation monitoring is guaranteed to be safe, safe and accurate transaction settlement is realized, convenient and visual display is convenient to make decisions, and the logistics transportation efficiency, quality and user experience are improved.

The invention discloses an interaction method, device and equipment based on a memory system, a storage medium and a vehicle. The method comprises the following steps: acquiring an input query statement; target memory associated with the query statement is determined through the language big model, the target memory comprises at least one of long-term memory, short-term memory and memory summary, and the memory summary is content obtained by the language big model for the long-term memory and the short-term memory summary; fusing the target memory and the query statement to obtain a cue word; and inputting the cue word into the trained language large model to obtain a reply statement output by the language large model. According to the embodiment of the invention, the accuracy of the reply statement output by the language large model can be improved.

The invention provides an agent application method and device based on a large model, equipment and a medium, and the method comprises the steps: responding to a question asking request of a user for a first question, firstly checking whether a previous chat record exists, if yes, rewriting the first question by using the chat record, generating a more accurate second question, and then, executing the second question; judging whether the question relates to a specific target document or not, if yes, recalling a related fragment from the document, constructing a target prompt in combination with a second question, and calling a corresponding plug-in to obtain first target information and returning the first target information to the large model for processing according to a reply type of the target prompt if the reply type is function calling; if the reply is a content reply, directly generating second target information based on the target prompt and returning the second target information to the large model so as to provide a reply required by the user; according to the application, the opening and sharing of the Agent agent can be realized, so that the requirements of different service scenes are met.

The embodiment of the invention provides a quality inspection processing method and device for an external visiting task, terminal equipment and a medium, and belongs to the technical field of data processing. The method comprises the following steps: determining user information of a visiting object according to a visiting task; performing external visiting communication on the external visiting object according to the user information to obtain external visiting image information and external visiting voice information corresponding to the external visiting object; performing quality inspection on the external visit image information and the external visit voice information to obtain external visit quality; and generating an external visit report of the external visit task according to the external visit quality. And the data quality in the external visiting process can be ensured through quality inspection of the external visiting information. The accuracy and reliability of the external visiting task can be improved, so that the overall level of the business is improved, and the requirements and feedback of the external visiting object can be better known through the external visiting report, so that the customer satisfaction is improved, and the customer relationship is enhanced. And the problems of information asynchronization, possible leakage of user privacy and no credibility of a quality inspection result in the external visiting task in the related technology are also solved.

The invention relates to an environment monitoring equipment small strip printing problem identification method, equipment and a medium, and belongs to the technical field of environment monitoring. The method comprises the steps of obtaining a digital image of a small printing strip of environment monitoring equipment; performing feature extraction on the digital image to obtain to-be-checked data; calling a pre-established knowledge base and an algorithm base; standard data related to environmental monitoring are stored in the knowledge base, and the algorithm library comprises a plurality of calculation methods and logic inspection methods for checking and problem identification of printed small data; performing fitting calculation on the to-be-checked data by adopting a convolutional neural network, comparing an obtained calculation result with standard data in a knowledge base, and generating a checking result of whether the environment monitoring equipment printing strip is abnormal or not based on a comparison result; and feeding back the verification result to the user. According to the method and the device, the problem in the manually monitored printed small strip is automatically checked, and the problem identification capability and efficiency of the monitoring data are improved.

The invention relates to a retrieval enhancement method, device and equipment based on domain term enhancement and a storage medium, which are applied to the field of natural language processing, and the method comprises the following steps: respectively extracting specific domain knowledge and other domain knowledge in a domain knowledge base; converting the specific domain knowledge and other domain knowledge into vectors and storing the vectors in a vector database; training the large language model to obtain a retrieval mark prediction model; when a query statement is received, predicting a retrieval mark type # imgabs0 # by using the trained retrieval mark prediction model; and based on the retrieval mark type # imgabs1 #, making an answer corresponding to the query statement by using the large language model and specific domain knowledge and other domain knowledge stored in the vector data. The method has the technical effects that professional answers can be specifically made based on the extracted knowledge in the specific field, the possibility of misunderstanding or ignoring important information in the retrieval process is reduced, and the accuracy of document retrieval and the precision of retrieval answers are improved.

The invention belongs to the technical field of geophysical exploration, and particularly relates to a geophysical exploration system and method, and the system comprises an electromagnetic exploration constraint signal obtaining module, an exploration correction factor determination module, an exploration characteristic factor obtaining module and a characteristic factor transmission process judgment module. The method comprises the following steps: analyzing geophysical electromagnetic exploration features to obtain geophysical electromagnetic exploration feature constraint signals; acquiring geophysical electromagnetic exploration process correction influence data, and determining a geophysical electromagnetic exploration process correction factor; correcting the geophysical electromagnetic exploration feature constraint signal based on the geophysical electromagnetic exploration process correction factor to obtain a geophysical electromagnetic exploration feature factor; transmitting the geophysical electromagnetic exploration characteristic factors to a data center, and judging whether the geophysical electromagnetic exploration characteristic factors are successfully transmitted or not. Errors in exploration data can be accurately analyzed and corrected, and the efficiency of the whole exploration process is improved.

The invention relates to the field of data processing, in particular to an optimization method and system for generating a mathematical formula format based on a large language model, and the method mainly comprises the steps: constructing a proficiency scoring system, an intention library, a keyword library and a multi-level template library; determining the proficiency level of the user currently using the large language model; based on the intention information and the keyword, obtaining a template matched with the question input text, and generating an initial mathematical formula result; and performing dynamic format conversion processing on the initial mathematical formula result according to a format requirement of a user to obtain a final mathematical formula result. According to the method, the overall experience of a user is improved by improving the stability and accuracy of the large language model when the mathematical formula is generated, and the format of the mathematical formula can be dynamically adjusted according to user requirements, so that the flexibility and practicability are improved.

The invention relates to the technical field of semantic analysis, and discloses an intelligent semantic analysis system and method based on a data large model, and the method comprises the steps: converting an audio file into a text, dividing the text into a character group and a word group, numbering the character group and the word group, and extracting repeated content; training a deep learning model to process the character group and the word group to form a standard text; analyzing the audio to determine a language region, obtaining a dialect database and extracting dialect content; combining the dialects, generating a to-be-analyzed text, and performing semantic analysis and classification; and finally, obtaining the expression meaning of the standard text according to the analysis result. The existing marked dialects are combined and substituted into the standard text, so that potential multiple explanations caused by dialect differences in the text can be covered and revealed, all expression meanings existing in the standard text can be obtained, and the process can ensure that any possible expression meaning is not missed, so that the accuracy of the expression meanings is improved. And the final semantic analysis is more comprehensive and accurate.

The invention relates to the technical field of intelligent report processing, and discloses an intelligent design method for an online form, which aims at improving the flexibility of report production and the intelligence of data processing, and comprises the following steps of: constructing a report structure comprising a plurality of dynamic data grids, extracting keywords in report names, forming a report name keyword set, and constructing a report structure comprising a plurality of dynamic data grids; the method comprises the steps of obtaining keyword information, classifying similar reports to form similar report sets, obtaining corresponding similar report sets according to the keyword information, generating keyword field sets, generating a new report according to the keyword field sets and the keyword information input by a user, and marking the newly generated report as a first report, executing a row title data conflict strategy for the first report, executing a row data arrangement strategy, and optimizing the data grid position information edited by the user.

The invention relates to a power communication work ticket data system and an intelligent reporting method. The power communication work ticket data system comprises a data collection module, a model training module and a prediction output module. The data collection module is used for collecting a large number of past work ticket contents, forming a training data set and then carrying out text preprocessing to obtain a standardized text data model; the model training is used for training the data model by taking the vector features of the standardized text data model as input and the corresponding security measures as output through a support vector machine, so that the model can learn the mapping relationship between the work content and the security measures; the prediction output module is used for firstly carrying out text preprocessing and feature extraction to obtain a vector representation when a new power communication work content is input; and inputting the vector into the trained model, and outputting predicted field work safety measures by the model. According to the invention, the accuracy and the normalization of the submission of the electric power communication work ticket can be improved.

The invention relates to the technical field of smart home, and discloses a method for voice interaction, and the method comprises the steps: determining user corpus text information and user behavior state information based on input user voice interaction information; constructing a voice interaction prompt rule based on the user behavior state information; determining a target response text according to the user corpus text information and a voice interaction prompt rule; and performing voice synthesis processing on the target response text to obtain a target response audio, and performing voice interaction. By acquiring the behavior state information of the user during voice interaction and dynamically customizing the voice interaction prompt rule, the voice interaction prompt rule better fitting the user personalization and the current situation can be constructed, so that more natural and personalized voice interaction experience is provided, and the intelligent level of voice interaction is improved. The invention further discloses a device for voice interaction, a household appliance and a computer readable storage medium.

The invention discloses a psychology and artificial intelligence-based dispute party psychological recognition and intervention method, system and device and a medium, and the method comprises the steps: constructing a prompt word bank for guiding dispute parties to express willingness; preprocessing speech and behavior data of dispute parties, inputting the speech and behavior data into a pre-trained large language model, and identifying willingness and emotional states of the parties to obtain willingness labels and emotional labels; establishing a psychological willingness intervention strategy library; analyzing the current mediation case, and selecting a willingness intervention strategy matched with the current mediation situation and the willingness of the party from a psychological willingness intervention strategy library in combination with the willingness label and the emotion label; generating intervention content based on the willingness intervention strategy; a pre-trained large language model is used for monitoring willingness and emotion changes of dispute parties in real time, feedback opinions of the parties and mediators for current intervention content are collected, and willingness intervention strategies and intervention content are adjusted. According to the invention, accurate identification of the willingness of the party and intelligent generation of the intervention content are realized.

The invention relates to the technical field of data processing, and discloses a method for managing a data version and realizing version rollback, which comprises the following steps of: extracting a feature main body from a same business main body information table, generating a unique identifier (blacklist), and if other associated business main bodies exist, carrying out associated storage by using the blacklist. When wrong modification occurs in a data processing process or a new version has an unpredictable problem, the previous stable version can be quickly returned, and data reprocessing is realized by returning the version, so that the data processing accuracy is improved, data chaos caused by wrong operation and new function and optimization trying do not need to be worried about, and the data processing efficiency is improved. According to the method, the development efficiency is improved, the risk of business operation is reduced, data information in the same version is quickly optimized by connecting related data information of the operateid and the blacklist in parallel, and the data consistency is improved.

The present application provides a production line equipment maintenance management device and a production line equipment dynamic display method, the equipment dynamic display method includes: real-time acquisition of equipment information, location information and status information of each equipment of the production line; positioning to the corresponding target model in the layout model according to the equipment information, and refreshing the target model based on the location information and the status information to generate and display a dynamic visualization image; wherein the equipment model in the layout model corresponds one-to-one to the equipment on the production line. In the present application, a dynamic visualization image can be generated in combination with the refreshed equipment model position and status information. The dynamic visualization image displays the current status of the production line in an intuitive way, including the layout of the equipment, the actual operating status and location information of each equipment, and the overall performance of the production line.

The invention provides a multi-dimensional financial data relation exploration and visualization system and method, and the system comprises a data importing module which is used for importing financial data from a plurality of data sources, and carrying out the preprocessing and cleaning; the data processing module is used for performing multi-dimensional analysis on the imported financial data, generating a data relation model, and performing time sequence analysis, position information extraction, association relation model analysis and AI classification algorithm analysis; the visualization module is used for displaying the data relation model to a user through a graphical interface; and the user interaction module provides a user interface and is used for a user to customize data dimensions, select visual forms, set display parameters and support real-time data updating and real-time data display. According to the method, the complex relationship between the financial data can be displayed in a more intuitive form through the graphical interface, and the visualization means is beneficial for a user to quickly understand the data structure and mode, so that information omission and misunderstanding are reduced.

A multi-mode interaction intelligent ward system comprises a voice recognition module, a touch screen module, a gesture recognition module, a face recognition module, a natural language processing module, a computer vision module, a sensor fusion module, a data encryption and access control module and an emotion recognition module. The system also supports a plurality of input modes such as touch, gesture and face recognition, so that the patients with language barrier or mobility difficulty can conveniently interact with the system, the user groups are greatly expanded, and the universality and usability of the system are improved.

The invention provides a risk control task processing method and device, equipment, a medium and a program product, and is applied to the technical field of artificial intelligence. The method comprises the steps that a first natural language field used for describing a risk control task is acquired based on a task module; splitting the risk control task by using the first natural language field based on the planned agent to obtain at least two first sub-tasks; generating a first task code based on the code agent; in the process of executing the first task code by the risk control system, under the condition that a target appears, the first task code is optimized based on the task module to obtain a second task code, and the target condition is one of the following items: the requirement that the risk control task cannot be completed by executing the first task code and the error report of the first task code in the running process. Through the method, the corresponding first sub-codes are generated for the sub-tasks, certain self-optimization and self-evolution capabilities are given to the risk control modeling process, and the effectiveness and task completion degree of the risk control model can be improved.

The invention relates to a wireless charging module, a wireless charging processing method and device and electronic equipment, and the wireless charging module comprises a first coil which is used for being coupled with a second coil of power supply equipment; the charging unit is electrically connected with the first coil, and is used for outputting a first signal according to the electric signal on the first coil when the charging unit is started, and charging power receiving equipment based on the electric signal on the first coil; and the detection unit is electrically connected with the first coil and is used for outputting a second signal based on the electric signal on the first coil when the charging unit is turned off. The control module can directly control the display of the charging prompt according to the first signal or the second signal output by the wireless charging module, the misunderstanding of a user caused by the fact that the charging unit is closed to display the non-charging state when the wireless charging module is located on the charging base is reduced, the wireless charging device has the advantage of being easy to implement, and the wireless charging experience of the user is improved.

The invention discloses an order service management method for medical products, and particularly relates to the technical field of medical order management, and the method comprises the following steps: collecting and preprocessing order management information of each medical product, and generating an order service management information set; performing management monitoring degree analysis on the information set, and judging whether an early-stage sign of insufficient monitoring degree exists or not; if early signs are found, order management feature data are extracted, management conditions are evaluated, and a basis is provided for classification; importing the feature data into a pre-trained machine learning model, and dividing the orders into low-quality visual orders and high-quality visual orders according to management conditions; for a low-quality visual order, information updating frequency is regulated and controlled, high-efficiency circulation and transparency optimization of information are ensured, and updating frequency after application regulation and control is summarized; according to the method, misunderstanding and delay caused by information asymmetry can be effectively reduced, the order control ability is enhanced, and the timeliness and reliability of information circulation are ensured.

The invention provides a vehicle loss assessment method and device, electronic equipment and a storage medium, and relates to the technical field of vehicle insurance loss assessment. The vehicle damage assessment method comprises the following steps: establishing a first damage list according to a damage image; rearranging the sequence of each damaged part in the first damaged list according to the assembly part to which each damaged part belongs, and generating a corresponding part group by using all the damaged parts belonging to the same assembly part to obtain a second damaged list; rearranging the sequence of each part group in the second damaged list according to the position of each assembly part, so that two assembly parts with adjacent positions are arranged in sequence to obtain a third damaged list; and generating a shooting instruction according to the sequence of each part group in the third damaged list, and obtaining a damaged image. According to the vehicle loss assessment method, the problem that the loss assessment efficiency is affected due to the fact that part of loss assessment personnel disorderly arrange a damaged part list in a traditional loss assessment scheme is solved, and the effect of improving the loss assessment efficiency is achieved.

The present application provides a content retrieval method combining PDF search mode with OCR recognition, which relates to the field of information retrieval technology. It obtains multiple content formats by identifying the content format of the current imaged PDF file; performs OCR recognition similarities and differences analysis between multiple content formats to obtain corresponding multiple similarities and differences indicators; classifies according to multiple similarities and differences indicators and outputs N types of content formats; builds N content recognition models according to the text features of the content formats; obtains user search keywords, calls N content recognition models to perform keyword search in the file, outputs corresponding multiple content search return results, and locates and displays them in the file. The present application solves the technical problem that the existing retrieval method cannot effectively identify the relationship and differences between different formats, which leads to the easy occurrence of recognition errors and omissions, and achieves the technical effect of improving the efficiency and accuracy of imaged PDF file content retrieval.

The invention discloses a product remote quality inspection system management method based on a network program. The method comprises the following steps: constructing a systematized system platform; two roles of a client and a supplier are set on a system platform, and a user selects and switches the roles according to requirements; before formal inspection, the client and the supplier perform online auditing and communication of technology, specification and drawing data on the platform; the client puts forward a submission requirement, and the two parties confirm to enter the next stage; the supplier submits multimedia data of pictures, videos and files related to the product through the system platform according to submitting requirements; a client carries out remote inspection on the platform; the customer completes inspection; and the system platform automatically archives and stores all data in the inspection process, including original data, auditing records and inspection reports. According to the invention, the problem of remote supervision of the client side is solved, and the process and efficiency of product quality management are greatly optimized.

The application discloses a site abnormality prompting device and detection method based on intelligent construction of intelligent construction site, relates to the field of site abnormality prompting, and comprises a spiral drill shell, an alarm mechanism is arranged in the spiral drill shell, a push-out mechanism is arranged on the side of the alarm mechanism, the spiral drill shell comprises a water leakage groove, a drill body, a water leakage port and a water outlet, the water leakage groove is used for receiving water leakage on the top, the drill body is used for fixing the whole device to the ground, the water leakage port is used for moving the water leakage tank, and the water outlet is used for conveniently draining water accumulated in the device, the flexible film, the information transmission block, the spring two and the wireless sensing block are arranged, when the information transmission block and the wireless sensing block are in contact, signal transmission is conducted on the wireless sensing block through radio waves, so that the monitoring room is alarmed, and thus, when water enters the device, the information transmission block is extruded, and the effect of alarming is achieved.

The invention relates to the technical field of natural language processing, in particular to a multi-round interactive content wind direction guiding method based on multiple agents. Through cooperative work of the inquiry behavior agent, the chat behavior agent and the guide behavior agent, the intention of the user is more accurately understood, and proper feedback is quickly generated, so that the communication efficiency is improved. The planning agent selects the optimal response according to the user preference and the interaction history, the user is effectively guided to carry out the next round of interaction, the interaction process is promoted to be smoothly carried out, it is ensured that each time of interaction can meet the user requirement to the maximum degree, and the guiding accuracy is improved.

The invention provides an AI-based weekly report processing method and device, equipment and a medium, and the method comprises the steps: responding to a first triggering operation, and displaying a first input control in a target document; the user determines creation requirements through selection operation and provides input content through input operation; and after the input content is confirmed, generating corresponding first target content by utilizing the AI, and inserting the first target content into the target document after the user confirms the first target content. The weekly report processing efficiency can be improved.

The utility model relates to the technical field of road signs, and discloses an adjustable luminous road sign which comprises a base and a fixing rod, a second motor is fixedly connected to the interior of the fixing rod, a threaded rod is fixedly connected to the output end of the second motor, a threaded sleeve is connected to the exterior of the threaded rod in a threaded mode, and the threaded sleeve is fixedly connected with the base. Mounting boxes are fixedly connected to the two sides of the exterior of the fixing rod, limiting assemblies are fixedly connected to the two sides of the threaded sleeve, a moving block is fixedly connected to the front portion of the threaded sleeve, a signboard is fixedly connected to the front portion of the moving block, and connecting rods are fixedly connected to the two sides of the rear portion of the signboard; and rolling wheels are rotationally connected to the interiors of the connecting rods. According to the utility model, the height of the signboard can be conveniently adjusted, the signboard can be ensured to be positioned at an optimal visual angle position, the overall traffic safety is improved, and the angle of the signboard can be conveniently adjusted so as to better adapt to a dynamic traffic environment.

The invention relates to the field of artificial intelligence, in particular to a language optimization method and device for a medical image diagnosis report and a medium, and the method comprises the steps: collecting a medical image diagnosis knowledge base, employing a pre-trained recurrent neural network to be combined with the medical image diagnosis knowledge base to extract and verify the terminology in a text, and obtaining the medical image diagnosis report. And collecting a historical medical image diagnosis report and a standard template, and comparing expressions for the same diagnosis in the text and the historical medical image diagnosis report and the standard template based on the text similarity to obtain an expression inspection result. According to the method, by checking and optimizing the consistency of the grammar, the terminology and the expression, the readability, the accuracy and the normalization of the medical image diagnosis report are improved, misunderstanding and misdiagnosis caused by language problems in the report are reduced, a data basis is provided for subsequent data statistical analysis sharing, and development and progress of the medical field are facilitated.

The present invention belongs to the field of geophysical survey technology, and specifically relates to a geophysical survey system and method, the system includes an electromagnetic survey constraint signal acquisition module, an exploration correction factor determination module, an exploration characteristic factor acquisition module and a characteristic factor transmission process judgment module, and the method includes analyzing geophysical electromagnetic survey characteristics to obtain geophysical electromagnetic survey characteristic constraint signals; collecting geophysical electromagnetic survey process correction influence data to determine geophysical electromagnetic survey process correction factors; correcting geophysical electromagnetic survey characteristic constraint signals based on geophysical electromagnetic survey process correction factors to obtain geophysical electromagnetic survey characteristic factors; transmitting geophysical electromagnetic survey characteristic factors to a data center to determine whether the transmission of geophysical electromagnetic survey characteristic factors is successful. The present invention can accurately analyze and correct errors in survey data and improve the efficiency of the entire survey process.

The invention discloses a method, system and device for detecting database naming specifications and a medium. The method comprises the steps that meta-information is synchronized, and the meta-information is synchronized from a database of a service system; standard vocabulary query: querying whether the description information has a corresponding English name in a standard vocabulary library; performing word segmentation processing, namely performing word segmentation processing on the description information of which the corresponding English name is not found by using a word segmentation device; vocabulary filtering and translating: filtering the segmented vocabularies, obtaining English abbreviations corresponding to the vocabularies, and splicing the English abbreviations into field name candidates; result comparison and judgment: comparing results after word segmentation of each word segmentation device; and naming specification judgment and translation failure processing. By means of the method, it can be ensured that table names and field names in the database follow the unified naming specification, the standardization level of the whole data warehouse or database is improved, data consistency and interoperability between different systems can be achieved, and element names in the data warehouse are clearer and more significant due to the unified naming specification.