666results about How to "High transparency" patented technology

The invention relates to the technical field of medicine information management, in particular to a traceability method and system based on a medicine consumable traceability code. The method comprises the following steps: acquiring medicine purchasing information data; generating a unique code for the number of medicine purchasing information so as to generate a medicine warehousing traceability code; performing drug information association on the drug purchase information data according to the drug warehousing traceability code to generate a drug warehousing associated traceability code; storing the medicine warehousing associated traceability code in an information base to generate a medicine warehousing traceability code information base; performing scanning access mode division on the medicine warehousing traceability code, and generating a medicine dispensing scanning request mode and a medicine returning scanning request mode; and performing drug splitting tracing on the drug warehousing tracing code in a drug dispensing scanning request mode to generate drug splitting tracing data. According to the invention, through full-process closed-loop management, data association enhancement, intelligent scheduling optimization and drug return tracing improvement, the efficiency and precision of the drug consumable traceability code tracing method are improved.

The invention discloses an electric power engineering defect diagnosis method based on AI image recognition and a block chain technology, and relates to the technical field of electric power engineering defect diagnosis, and the method comprises the following steps: setting the initial flight rate of an unmanned plane according to the monitoring demands and field conditions of an electric power line, it is ensured that the unmanned aerial vehicle can cover all key areas of the power line in the inspection process, and meanwhile the inspection efficiency is kept. According to the invention, by intelligently adjusting the flight rate of the unmanned aerial vehicle, the unmanned aerial vehicle can stay in a potential abnormal area for a longer time, and detailed acquisition of temperature data is ensured, so that tiny temperature changes, especially tiny temperature anomalies caused by electric arcs and electrical overload, can be captured more accurately. According to the intelligent adjusting mechanism, in the inspection process, the inspection efficiency of the whole process can be guaranteed, accurate monitoring of the key area can be guaranteed, and the risk of detail loss or temperature anomaly missing detection caused by the too high flight speed is reduced.

The invention relates to the technical field of carrier evaluation, in particular to a carrier portrait evaluation system and method based on multi-dimensional data fusion, and the system comprises a data source obtaining module which is used for collecting a plurality of carrier related data sources in real time; the data preprocessing module is used for carrying out normalization preprocessing on the collected data; the multi-dimensional data fusion module is used for constructing a dynamic carrier portrait by adopting a multi-modal fusion algorithm and a hierarchical data modeling technology so as to provide a basis for evaluation; the scene performance evaluation module is used for carrying out comprehensive evaluation on the carriers in a plurality of business scenes, carrying out comprehensive scoring on the plurality of carriers through a multi-index evaluation method, and obtaining a comprehensive score ranking of the plurality of carriers; and the carrier relationship detection module is used for analyzing the association relationship between the preferred carrier and other carriers. According to the invention, the accuracy of evaluation is improved, and the adaptability of the system to a complex business environment is enhanced, so that an enterprise can make a more scientific decision when selecting a carrier.

The invention relates to the technical field of equipment control, in particular to a self-adaptive switching method and system of a current transformer. The method comprises the following steps: collecting primary side parameters and secondary side parameters of a current transformer to obtain primary side collection parameters of the current transformer and secondary side collection parameters of the current transformer; performing current transformer state segmentation initialization according to the current transformer primary side acquisition parameters and the current transformer secondary side acquisition parameters so as to generate a current transformer operation state classification result; switching result judgment is conducted on the current transformers according to the current transformer operation state classification result, and when the current transformer operation state classification result is a current transformer critical state section, parallel buffering is conducted on the current transformers, and critical current transformer switching data are generated. According to the invention, through accurate state classification, a dynamic switching mechanism, time sequence optimization and visual display, the switching sensitivity and stability of the current transformer are improved.

The invention discloses a traffic transportation emergency command and dispatch system based on big data resources, which is constructed based on the big data resources and mainly comprises a data acquisition module, a big data processing and analysis module, an event early warning and prediction module, an emergency command and dispatch module, an information display and interaction module and the like. Various devices (a sensor, a camera, a GPS and the like) are utilized to comprehensively collect data such as traffic flow, road conditions, weather, events and the like. Acquisition has the characteristics of high frequency and high precision, supports a plurality of data transmission modes and protocols, and can integrate and format the acquired data to guarantee data quality and convenience of subsequent processing. According to the system, effective utilization of traffic data is realized through collaborative operation of all the modules, and the traffic transportation emergency management capability is improved from multiple aspects, including improvement of management efficiency, enhancement of emergency response capability, improvement of decision support, enhancement of information transparency, optimization of resource allocation, reduction of economic loss and improvement of public safety.

The invention provides a land unmanned equipment semantic preserving large model deployment method and system, and relates to the technical field of navigation control. According to the deployment method, a preliminary control suggestion is directly output through a lightweight fusion model, optimization fusion is carried out through an MPC framework, underlying dynamics and environmental constraints, and seamless connection from semantics to control is achieved; in combination with a VILO odometer and instance segmentation, a global map containing dynamic obstacle semantic information is constructed and updated in real time, and an accurate context is provided for planning and decision making; model pruning, knowledge distillation and edge calculation scheduling are adopted, so that a complex multi-modal semantic model can run in real time on an embedded platform; the decision basis from instruction analysis to control execution is recorded and visualized in the whole process, and the transparency and credibility of the system are improved; on-line re-planning, multi-stage fault detection and switching strategies are integrated, and the robustness of the system in a dynamic environment and an abnormal condition is remarkably improved.

The invention belongs to the technical field of digital bid evaluation, and provides an intelligent bid evaluation method and system based on a knowledge enhancement large language model.The method comprises the steps that firstly, a to-be-evaluated file library of project bid inviting and tendering files is established; then, files in the to-be-reviewed file library are analyzed, file slices are generated, and a reviewed file knowledge base is formed; then, text slices in the file knowledge base are retrieved and reviewed through key fields, and input cue words of the knowledge enhancement large language model are generated in combination with the key fields and the file slices; then, interacting the input cue word with a pre-trained knowledge enhancement large language model to obtain all key field information; then, scoring the bidding file according to a preset bid evaluation algorithm for all the obtained key field information; and finally, sorting the scores of all the bidding files in a descending order to generate an intelligent bid evaluation report. According to the method, the application of the knowledge-enhanced large language model in the aspects of bidding and tendering key information extraction and intelligent bid evaluation is realized, the flexibility and adaptability are relatively high, the influence of human factors on bid evaluation work is reduced, and the fairness and justice of the bid evaluation process and result are actively promoted.

The invention discloses an Internet of Things authentication method and system, and relates to the technical field of Internet of Things. The system comprises a quantum machine learning behavior analysis module, a multi-factor authentication module, a block chain and intelligent contract module, an edge computing authentication processing module, a self-adaptive authentication strategy and risk assessment module, a privacy protection and data desensitization module and a cross-platform interoperation module. According to the invention, the security, efficiency and flexibility of the Internet of Things authentication system are significantly improved, so that the system can efficiently identify abnormal behaviors of equipment, effectively prevent potential security threats, significantly reduce authentication delay, and improve the response speed and user experience of the system. Therefore, the problems existing in the aspects of safety, authentication efficiency and expandability of a traditional authentication method are solved, and a safer, more efficient and more extensible authentication mechanism is provided for the Internet of Things equipment.

The invention provides a carbon emission data quality analysis method which comprises the following steps: acquiring various activity level data influencing product / enterprise carbon emission, calculating carbon emission intensity, longitudinally comparing the carbon emission intensity with historical data and transversely comparing the carbon emission intensity with an industry reference value, and acquiring first quality evaluation data of the carbon emission activity level data; according to the production / business logic of the enterprise, analyzing the correlation of the activity level data in the production process, and obtaining second quality evaluation data of the carbon emission activity level data; constructing a multiple regression model, performing multiple regression analysis on correlation between molecules and denominators of the carbon emission intensity indexes and noise influence on time, places, processes / technologies and quality of the carbon emission intensity indexes, and obtaining third quality evaluation data of the carbon emission activity level data; and the authenticity of the carbon emission data is judged according to the first, second and third quality evaluation data, so that the carbon emission data quality can be improved, and disordered filling, wrong filling and counterfeiting of the data are avoided.

The invention provides a traffic light passing calculation method and system based on the Internet of Things. The method comprises the following steps: receiving a real-time data stream from an Internet of Things intelligent sensor network, and carrying out space-time consistency processing through a high-precision space-time synchronization technology to generate a traffic condition dynamic panorama; a causal inference algorithm is used for inferring a causal relationship, direct and indirect influence paths are calculated, a space-time sequence modeling technology is used for capturing space-time characteristics, a time-varying rule is simulated, and a future traffic state estimation model is generated; an evolutionary strategy optimization algorithm is used to simulate a natural evolutionary process, an optimal traffic light switching strategy is searched, a multi-objective optimization technology is used to consider a mutual exclusion objective, constraint conditions are introduced to carry out comprehensive evaluation, and a traffic light switching strategy evaluation result is generated; a feedback circulation mechanism is introduced, a model operation result is collected in real time, an adaptability improvement report is automatically formed, and a traffic light passing calculation scheme is generated. According to the technical scheme provided by the invention, the traffic light passing calculation efficiency is remarkably improved.

The invention discloses a composite film material with lasting fragrance, a preparation method and application of the composite film material in sticky notes, and belongs to the technical field of composite film materials. The composite film material is composed of a PET layer, a bonding layer and a CPP layer; the PET layer comprises PET resin, composite filler, a coupling agent, an antioxidant, an ultraviolet light absorber, a heat stabilizer and a light stabilizer; the bonding layer is composed of a solvent type polyurethane adhesive; the CPP layer comprises PP resin, a modified filler, microcapsule essential oil, a coupling agent, an antioxidant, an ultraviolet light absorber, a heat stabilizer and a light stabilizer; the composite film material prepared by the invention not only has lasting fragrance, but also has strong binding force with a writable coating, high strength, good dimensional stability and high transparency.

According to the antibacterial and antioxidant composite film applied to food preservation and the production method of the antibacterial and antioxidant composite film, the chlorogenic acid, the catechin, the montmorillonite and the zeolite are introduced, and a drying process is optimized, so that the antibacterial performance, the antioxidant performance and the mechanical performance of the preservative film are remarkably improved, and meanwhile, the water vapor permeability and the oxygen permeability are reduced. The method comprises the specific steps of raw material preparation, polyphenol compound and mineral substance preparation, membrane liquid preparation and treatment, drying process optimization and finished product membrane uncovering. According to the preparation method disclosed by the invention, components such as chlorogenic acid, catechin, montmorillonite and zeolite are introduced, and a drying process is optimized, so that the food preservative film with synergistic antibacterial and antioxidant properties is prepared.

The invention discloses a protection setting value intelligent comparison method and system, and relates to the technical field of power protection setting value check, and the method comprises the steps: carrying out the first analysis of a file format, and storing the file format in a database; acquiring real-time data, and performing first comparison on the data; and visualizing the comparison result and automatically generating a check report. According to the protection setting value intelligent comparison method provided by the invention, the electronic setting value sheets in various formats are automatically imported and analyzed, and the data are stored in a standardized manner, so that the processing efficiency and accuracy of the setting value sheet data are improved, the operation setting value data of the protection device are obtained in real time and are integrated into a setting value checking system database, and the safety of the protection device is improved. According to the method, the synchronization of the operation data and the scheduling data is improved, the scheduling issuing fixed value and the operation fixed value are compared item by item by adopting an automatic algorithm, the efficiency and the accuracy of the fixed value checking work are improved, and better effects are achieved in the aspects of accuracy, synchronism and efficiency.