18results about How to "Clear management" patented technology

The invention discloses a data label management method and a data label management system, and belongs to the technical field of computers and data management, the method is realized based on a data label management platform, and the realization process comprises the following steps: data source management, which is responsible for docking and integrating data from different sources, it is ensured that the platform can obtain data from multiple types of data sources; object management, which is used for defining and managing entities or objects in the label system, and comprises object creation and association relationship establishment; the task management is used for realizing automation and monitoring; label management including label classification and label configuration; and label query: through label screening, the user can quickly find the required data. A standardized label management process is provided, a complete and integrated solution is provided for creation, management, maintenance and use of labels, and a user is assisted in accurately and efficiently constructing a specific label system.

The invention discloses a flexible manufacturing-based DPA component matching method, which comprises the following steps of: establishing a DPA component requirement catalog, establishing a management database, and creating catalog entries for each component needing DPA detection; the method comprises the following steps: establishing DPA components, and creating a corresponding DPA component for each basic component needing to execute DPA detection in enterprise product bill of material structure management; the method comprises the following steps: establishing a corresponding relation between a DPA component requirement directory and a component, establishing a mapping relation between a DPA requirement directory and a DPA component, triggering to generate or call a corresponding DPA component demand according to the mapping relation, and realizing automatic conversion from a detection requirement to a specific execution material; and establishing a matched operation system, and integrating the system into a manufacturing execution system or a material demand planning module of an enterprise resource plan. According to the method, automatic identification of DPA detection requirements, intelligent matching of detection materials and accurate accounting of related cost can be realized.

The present invention proposes a method and system for verifying the validity of backup data, which relates to the technical field of backup verification. The backup data are classified and backed up according to data types, and classified according to preset demand types, backup data packets are obtained and stored, and the backup data are sorted in chronological order; the difference comparison value of the data packet is calculated, the difference judgment of the backup data packet is performed, the backup data packet is differentially stored, and the difference data packet is obtained; the backup data is restored, and the restoration quality value is calculated, and whether the restoration of the backup data is qualified is judged according to the restoration quality value, and replacement restoration is performed until the restoration judgment result is a qualified restoration state. The backup data verification process of the present invention improves data management efficiency, optimizes storage space, speeds up recovery speed, improves recovery quality, enhances data security, and supports flexible data recovery strategies, providing a comprehensive, efficient, and reliable solution for data backup and recovery.

The invention relates to the technical field of loan quota management, and discloses a user loan quota intelligent management method, which comprises the steps of setting a loan mode I and a loan mode II, obtaining a loan request and credit information of a user, rating the user, generating loan quotas of the two modes according to the rating, and when the user confirms loan, sending the loan quotas to the loan mode II; the first mode is selected to execute a first monitoring and processing strategy; the second selection mode executes a second monitoring and processing strategy based on the consumption behavior model of the user; if the two modes are selected at the same time, executing the two monitoring strategies, and judging whether to execute a third processing strategy; by acquiring the historical consumption record of the user and establishing the consumption behavior habit model of the user, the consumption preference and behavior mode of the user can be known more accurately, which is beneficial to monitoring the consumption behavior of the user, finding the abnormal consumption condition in time, preventing the loan amount of the user from being stolen, and ensuring the fund security of the user.

The invention discloses a silage corn crossbreeding method, and belongs to the technical field of corn breeding. The method is realized through three steps of selfing, hybridizing and backcrossing of the Jinling silage 17. Different pollination modes are used in odd-numbered days and even-numbered days, and artificial pollination and bee pollination are combined, so that the success rate and efficiency of pollination are ensured, and the complexity and labor intensity of manual operation are reduced. By spraying the liquid fertilizer Q, comprehensive nutrition required by corn growth is provided, and particularly, the human excreta subjected to high-temperature treatment and the combination of various nutritional ingredients can effectively promote healthy growth of plants and increase the yield. The fresh weight yield of the hybrid seeds treated by the method disclosed by the invention is 105877-120002 kg / hm < 2 >, the yield is increased by 21.50%-29.19%, the dry matter yield is 34007-35983 kg / hm < 2 >, the yield is increased by 20.89%-22.93%, and the economic benefit is remarkable.

The utility model discloses a kind of auxiliary recording devices for salad dressing food processor, it is related to food processor technical field, including food processor body and cooking jar, cooking jar is installed on food processor body, sleeve is provided at cooking jar front side, sleeve is fixedly installed on food processor body, rotating shaft is rotatably connected in sleeve interior, rotating shaft outside is evenly provided with several columns of label group, several columns of label group are annular array arrangement on rotating shaft outside, and label group is composed of several upper and lower label blocks, and several upper and lower label blocks are evenly arranged on rotating shaft outside.The utility model is through the design of label group, rotating shaft, recording shield and formula display, can automatically record feeding process, in the process of every closure plate opening / closing, the raw material of corresponding label block is put, and in the process, the automatic shielding of corresponding label block is completed by recording shield of automatic downward movement, avoid feeding forget or error, improve the accuracy, efficiency and operation convenience of feeding, reduce raw material waste.

The invention relates to the field of precise milling and turning, in particular to a dynamic quality planning intelligent management method based on a mechanism model, which comprises the following steps: collecting multi-source heterogeneous data, and respectively constructing an implicit disturbance risk index for representing a system disturbance risk and a wear state parameter for representing a system wear state based on the data; calculating to obtain a system critical index in combination with the implicit disturbance risk index and the wear state parameter; presetting a critical state grade threshold value, and comparing the system critical index with the critical state grade threshold value to obtain a critical state evaluation result; generating a process correction factor based on the critical state evaluation result and the system critical index; according to the process correction factor, outputting a grading correction strategy for the processing process parameters; dynamic balance of production efficiency and quality safety is realized, and quality collapse is effectively inhibited.

The utility model discloses a communication tower of integrated disaster monitoring function relates to communication tower technical field, this communication tower includes: single -tube tower body, be used to install communication equipment's communication antenna installation mechanism, set up in the upper portion of single -tube tower body, and above one layer's sensor installation assembly unit, interval setting along single -tube tower body and all be located communication antenna installation mechanism below, wherein, each layer sensor installation assembly unit includes more than one sensor installation assembly, more than one sensor installation assembly surrounds single -tube tower body arrangement, each sensor installation assembly can load disaster monitoring sensor, and its root can detachably connect to single -tube tower body, the utility model discloses integrated communication and monitoring function, and allow sensor installation assembly and single -tube tower body carry out integration, standardization design to improve structural reliability.

A detachable bearing platform water-cooling temperature control cabinet comprises a cabinet body, a plurality of water inlet control pipes and a plurality of water outlet detection pipes are fixedly arranged in the cabinet body, the two ends of the water inlet control pipes and the two ends of the water outlet detection pipes penetrate through a left side plate and a right side plate of the cabinet body respectively and then extend outwards, water inlet control pieces are fixedly arranged on the water inlet control pipes, and water outlet control pieces are fixedly arranged on the water outlet detection pipes. A water temperature detection device is fixedly arranged on the water outlet detection pipe; the water pipes are in butt joint rapidly, installation work of a water inlet control piece and a water temperature detection device for each water pipe is omitted, construction steps are greatly simplified, input of manpower and material resources is reduced, and the construction period is shortened. Meanwhile, the temperature control cabinet integrates control equipment of a plurality of water pipes, constructors can manage and control the water yield of the water pipes at a time, management is clear, the device and the water pipes can be detached, and therefore the temperature control cabinet can move among a plurality of pier bearing platforms to be repeatedly used, and waste of the equipment is avoided.

The utility model relates to the field of parking space monitoring and management, in particular to a parking space comprehensive monitoring and management device, a platform and a terminal module. The parking space comprehensive monitoring and management device is used for detecting the state of a parking space in real time at the position close to the periphery of the parking space, and comprises a voice module, a visual sensor, a detection module and an information module. The platform is an information management platform system of the device and comprises a parking space service module, an alarm service module, an audio and video service module and a database. The terminal module is an information terminal module of the platform and comprises an alarm setting module and an audio and video module. The utility model provides a solution for comprehensively solving the problems of difficulty in parking, expensive parking, parking space occupation disputes, unified installation, monitoring and management of private charging piles and the like at the present stage.

The invention relates to an image classification method based on incremental learning. The method comprises the following steps: collecting a multi-modal data set and dividing the multi-modal data set into a basic data set and an incremental data set; the multi-modal data set at least comprises image data and text data; constructing an image classification model; inputting the basic data set into an image classification model for training, storing a training weight, and then inputting the incremental data set into the trained image classification model for incremental learning to obtain a trained image classification model; image data to be classified are obtained and preprocessed, and then the image data are input into the model to obtain a corresponding classification result. According to the method, efficient balance of new and old knowledge and inhibition of disastrous forgetting are realized by optimizing learnable prompts and multi-modal fusion, and the model performance and practicability are improved on the premise of avoiding dependence on data caching and not remarkably increasing the parameter quantity.

The application provides a kind of multi-model API docking management method and system based on deep learning, it is related to artificial intelligence and cloud computing technology field, including the following steps: collect and standardize all the AI prompt word templates and skill assets generated in workflow storage, to generate AI prompt word template library and skill asset library;Request data is optimized;The state of the multi-business model is evaluated in combination with the optimized request data to determine the target business model, and the optimized request data is distributed to the target business model to perform inference operations;Real-time acquisition of inference results and performance indicators generated during the execution of the target business model, and the inference results and performance indicators are returned to the cloud storage space;The AI prompt word template library and skill asset library are updated to realize the docking optimization of multi-business model.The application realizes the efficient, low-cost and adaptive optimization of multi-business model call, with good scalability and practical value.

The invention discloses a project external task progress monitoring system and method based on process management. The system comprises a task triggering unit, a collaborative operation unit, a progress calculation unit and a progress approval unit. The task triggering unit and the progress calculation unit are both connected to the collaborative operation unit, and the progress approval unit is connected with the progress calculation unit; the task triggering unit is used for generating and issuing an external task, and the collaborative operation unit is used for recording business and communication data of the external task in the collaborative operation process; the progress calculation unit is used for calculating the execution progress of the external task according to the business and communication data of the external task, and the progress approval unit is used for approving the calculation execution progress and the actual execution progress. According to the invention, the project is divided into a plurality of executable tasks through the project management unit, and the person in charge of the tasks is defined, so that the project management is clearer and more organized. The detailed management mode is beneficial for reducing management omissions and improving the project execution efficiency.

The invention relates to the technical field of health management, and discloses an intelligent smoking cessation management system which comprises an intelligent terminal and a cloud server which establish information interaction connection. The intelligent terminal comprises a user side and a consultant side; the consultant end and the user end perform data interaction through the cloud server; the user side comprises a tobacco addiction self-test module, a daily micro-test module, a health tool module, a consultation module, a tobacco addiction index module and a recording module; the tobacco addiction self-testing module is used for metering the tobacco addiction degree of the user and forming tobacco addiction quantitative data; the daily micro-test module is used for collecting self-test data; the health tool module is used for recording smoking cessation influence factors and forming smoking cessation behavior data; the consultation module is used for a user to perform consultation interaction with a consultant end; the tobacco addiction index module is used for counting and visually displaying current tobacco addiction index data of the user; the recording module is used for recording adverse reactions of the user in the smoking cessation process. According to the invention, intelligent, personalized and comprehensive smoking cessation management can be realized.

The invention relates to a railway monitoring technology, and discloses a railway grounding wire mounting state monitoring device, method, equipment, medium and program, a device body is used as a main body, a rail clamp assembly is used for mounting the device body on a railway track needing to be monitored, the rail clamp assembly is used for connecting a grounding wire of the railway track, and a loop is formed through the device body. Thus, digital monitoring of the ground wire state is achieved, power management of the device body is achieved through the power management assembly, the ground wire mounting state and the power state are displayed through sound and a light source through the state indication assembly, and high-precision position information collection is achieved through the positioning assembly. And finally, the collected mounting state, the power supply state and the position information are sent to a cloud platform through a communication assembly to realize unified management, so that the use efficiency of the railway grounding wire mounting state monitoring device is greatly improved.

This invention discloses a closed-loop soil improvement method for vineyards using organic fertilizer synergy, comprising the following steps: seasonal directional grass cultivation, preparation of Bacillus subtilis agent, preparation and application of self-made organic fertilizer in the early stage of vineyard establishment, and closed-loop synergistic improvement method; the closed-loop synergistic improvement method is divided into early stage improvement and late stage improvement, relying on grass return to the field and Bacillus subtilis to maintain soil fertility and nutrient cycle.