12results about How to "Realize collaborative management" patented technology

The invention discloses a chronic disease patient diet management system, and the system comprises a data collection and integration module which is used for obtaining and fusing multi-source data, and forming a patient exclusive data set; the personalized diet scheme generation module is used for calculating and generating an initial diet scheme based on a medical rule base and the exclusive data set, and a final scheme is formed after the initial diet scheme is audited by the medical terminal; the diet scheme execution support module is used for assisting the user to adjust the diet scheme through a visual tool, a recipe library and an intelligent recording mode; and the monitoring and dynamic adjustment module is used for collecting diet execution data and physiological index data of the user, analyzing the relevance through a machine learning algorithm, generating an adjustment suggestion, and updating the scheme after confirmation of the medical end. According to the invention, multi-source data can be automatically integrated, a personalized diet scheme is intelligently generated and dynamically adjusted, and convenient execution support and continuous health management are provided for patients.

This application provides a third-party monitoring method for road transport safety management, including: a monitoring platform determining the status of a vehicle entering or exiting an assigned electronic fence based on vehicle satellite positioning data, and generating a regional alarm when a vehicle crosses the boundary or violates speed limits; executing a verification and processing procedure for various alarms generated by the monitoring platform, including platform alarms and proactive safety alarms, supporting enterprise users to appeal the verification results and subsequent review; marking the status of vehicles in special states such as being out of service, under maintenance, scrapped, or suspended from monitoring, and providing abnormal movement records and offline duration statistics queries; pushing announcement documents to subordinate enterprises or initiating safety inspection tasks, and requiring enterprises to submit reading receipts or inspection responses; generating statistical reports on daily, weekly, monthly, and yearly cycles, and supporting scheduled automatic or instant push to designated email addresses.

The application provides a PTC self-limiting temperature knee pad and a multi-source sensing combined control method, which comprises the following steps: collecting real-time pressure values of each pressure sensor in a pressure sensor array and a real-time inclination angle value of an inclination sensor; calculating a pressure difference value and judging whether the resistance measurement value is in a low resistance state defined by a positive temperature coefficient effect; limiting the heating temperature below the resistance mutation temperature by using the positive temperature coefficient effect; continuously monitoring the change of the real-time inclination angle value; when the real-time inclination angle value changes continuously below a preset activity angle threshold value for a time and exceeds a preset static time threshold value, outputting a stiffening prevention reminding instruction by a controller, and issuing a vibration reminder based on the stiffening prevention reminding instruction. The application realizes reliable judgment of heating start through a double-condition combined verification mechanism of a pressure difference value threshold and a low resistance state of PTC material.

The utility model discloses a kind of storage device of potassium hydroxide, including storage container, KOH input port, inert gas input port, circulating pump system, observation port, sealing unit, cooling unit and control module are equipped on storage container;The control module is connected with metal ion concentration sensor, temperature sensor, flow sensor and pH monitor;The control module is used to collect the above sensor data, controls circulating pump system and cooling unit operating state, adjusts soft water supply flow, and triggers early warning when parameter is abnormal, simultaneously, operating data is uploaded to remote platform.

The invention discloses a network slicing management method based on a large language model and a related device, and relates to the technical field of network slicing, and the method comprises the steps: calling a global agent to receive a network slicing demand in a natural language format, and obtaining a demand intention; calling a global agent to interact with the large language model based on the demand intention to obtain a slicing request; calling a global agent to obtain a resource state in a current network; calling a large language model to determine a global resource allocation strategy based on the slicing request and a resource state in a current network, obtaining a resource allocation strategy of each sub-region, and obtaining a region slicing request of each sub-region; calling a local agent to interact with the large language model based on the region slicing request of each sub-region to obtain an operation instruction of network slicing operation performed by each sub-region; and executing the operation instruction to perform network slicing operation on each sub-region. The purpose of improving the management efficiency of the network slices is achieved based on the large language model.

The invention relates to the technical field of ecological restoration, in particular to a photovoltaic power generation area ecological restoration dynamic optimization system and method and a computer readable storage medium, and the system comprises an ecological monitoring module which is used for collecting environment data in real time through a sensor network and monitoring equipment deployed in a photovoltaic area; the data analysis module is used for analyzing the collected data based on a big data processing technology and a machine learning algorithm, and establishing an ecological degradation evaluation model to quantify the ecological condition; the restoration scheme generation module is used for generating a restoration scheme including vegetation restoration, soil improvement and water resource management by combining the evaluation model result, the regional ecological environment characteristics and the restoration target and utilizing GIS analysis and remote sensing image processing technologies; the engineering measure management module is used for managing the implementation process of the ecological restoration engineering; and the biological measure management module is used for managing the implementation of biological remediation measures. According to the invention, collaborative management of engineering and biological measures is realized, and the ecological restoration efficiency is improved.

The present application relates to a kind of future and present fusion customer intelligent credit and credit risk management system and method, system includes multi-dimensional customer data acquisition and fusion module;AI dynamic credit scoring model: construct basic credit score, and introduce dynamic adjustment factor to the real-time correction of customer credit score, the comprehensive rating of the customer credit score after correction, early warning according to rating;Future and present comprehensive credit limit real-time management module;Intelligent overdue early warning and collection management module;Customer credit file and blacklist management module: for each customer signal file whole life cycle management, when customer appears set condition, execute blacklist linkage mechanism.The present application is by LightGBM dynamic risk adjustment layer, commodity price fluctuation rate, customer account change trend, associated enterprise risk and so on dynamic factor are included in credit score, risk customer is identified in advance about 30-45 days, and key time window is won for enterprise to take measures in advance.

The invention provides a coal industry engineering project safety management system and method. The system comprises a risk management and control module, a hidden danger checking module and a hidden danger treatment module. The risk management and control module is used for recording and displaying risk information of each risk item, receiving and recording a newly-added risk item input by a user when a first operation instruction input by the user is received as a risk item adding instruction, determining a risk level corresponding to the newly-added risk item, and obtaining risk information of the newly-added risk item; the hidden danger checking module is used for acquiring the risk information of all the risk items stored in the risk management and control module, and making and displaying a coal mine hidden danger checking plan based on the risk information of all the risk items; and the hidden danger treatment module is used for recording and displaying safety hidden danger information found in the execution process of the coal mine hidden danger investigation plan. According to the invention, accident potential in the coal mine production process can be effectively reduced, and the potential safety hazard checking efficiency is improved.

The invention discloses a data center user information dynamic management system based on a distributed architecture. The system comprises a distributed architecture layer, a core function module layer and a data interaction layer, the distributed architecture layer provides distributed computing, storage and communication support for the system. According to the method, tasks are processed in parallel through the distributed computing node cluster, and requests are dynamically distributed in a load balancing manner, so that the problems of low processing efficiency and response lag under the condition of sharp increase of equipment and data volume are solved; based on distributed storage fragmentation storage and redundant backup, the single-point fault risk of concentrated data storage is avoided, and stable operation of the system is guaranteed; cross-regional data real-time synchronization is realized by means of a distributed message queue, and unified management and control of multi-regional data centers are supported; and meanwhile, asset full life cycle traceability is realized through a block chain, the fault early warning accuracy is improved through an LSTM model, energy consumption is optimized through multi-dimensional accounting and an algorithm, and the efficient, safe and energy-saving management requirements of a modern data center are comprehensively met.

The invention relates to the technical field of heat pump systems, in particular to a whole vehicle heat management method based on an injection type air supply enthalpy increasing heat pump. A traditional air-supplementing enthalpy-increasing heat pump system is complex in structure and cannot carry out effective and controllable heat exchange with various vehicle-mounted functional parts in a whole vehicle heat management system. In order to solve the problem, the invention provides the whole vehicle thermal management method based on the injection type air supply and enthalpy increase heat pump, and a stable air supply and enthalpy increase loop is constructed in a heat pump system. And the medium-pressure gaseous refrigerant in the gas-liquid separator continuously performs enthalpy increasing and gas supplementing on the compressor. Meanwhile, a heat pump system is deeply coupled with a whole vehicle heat management system, the temperature states of vehicle-mounted functional components such as an electric drive module, a battery module and a cabin module can be collected in real time through a central integration module formed by a heat management controller and a temperature sensor, and heat is dynamically distributed according to actual requirements.

This invention relates to the field of electrical automation technology and discloses an electrical automation control system and method with artificial intelligence, including a control center, a data acquisition module, a data analysis module, a control execution module, and a user interface. By combining artificial intelligence technology with the electrical automation control system, this invention solves problems such as insufficient real-time adaptive capability, inadequate data utilization, poor fault prediction capability, and insufficient energy efficiency management in traditional systems. It significantly improves the intelligence level, fault prevention capability, and energy management effectiveness of the electrical automation control system, providing more efficient and intelligent solutions for equipment maintenance, production scheduling, and energy optimization.

The invention relates to a rail transit material circulation system and method, a medium and electronic equipment. The system comprises a unified identification tagging and management module, an intelligent perception and data acquisition module, a material data center and intelligent analysis platform, and a traceability and collaboration and decision support application portal. The unified identification tagging and management module generates a unique identification code for each material in a material entry storage link; associating the static attributes with the static attributes of the materials; the intelligent sensing and data acquisition module is used for acquiring the static attribute of the material by scanning the unique identification code in each operation link of the material, and updating the state change data of the material in the material data center and the intelligent analysis platform; the material data center and the intelligent analysis platform are in communication connection with the intelligent sensing and data acquisition module; and the traceability, collaboration and decision support application portal is in communication connection with the material data center and the intelligent analysis platform. According to the invention, dynamic traceability and collaborative management of materials can be realized, and the advantages are obvious.