84 results about "Distribution management system" patented technology

The invention discloses a power distribution management system of an intelligent charging pile, and belongs to the technical field of electric vehicle charging facilities and intelligent power grids. The load prediction module carries out space-time alignment fusion on historical data and real-time monitoring data to generate a power distribution demand prediction value, and the edge calculation controller executes a model prediction control algorithm based on multi-source data to generate a real-time control strategy containing relay time sequence parameters and a capacitance compensation scheme. And the dynamic power distribution adjustment module executes strategy parameters through the solid-state relay array and the parallel compensation capacitor bank. Self-adaptive adjustment of the power distribution network is achieved through a real-time monitoring-prediction-optimization closed-loop control mechanism, the harmonic content of the power grid is effectively reduced, the energy distribution efficiency of the charging pile group is improved, and the method is suitable for intelligent electric energy management of public charging stations and other scenes.

System and methods are provided for automated SKU management. Embodiments include a user interface for receiving diverse catalog files, a Catalog Transformation module, a Real-Time Data Mesh (RTDM) module, a Master Data Governance (MDG) module, a Global Data Repository (GDR), and a Search Platform. The Catalog Transformation module, through iterative learning, transforms catalog files to a standard format and predicts categorization and attribute mapping. The RTDM module is configured to perform real-time data exchange. The MDG module validates the transformed catalogs. The GDR stores validated catalogs. Embodiments can include a Dynamic SKU Creation module and a Global Pricing Engine for real-time pricing. Embodiments improve data accuracy and SKU management, facilitating integrated order processing and fulfillment.

The invention relates to the technical field of cold chain warehouse logistics, and discloses a cold chain warehouse logistics intelligent distribution management system based on the Internet of Things technology. The system comprises a multi-source data processing module which collects storage environment and equipment operation data through a heterogeneous sensor, and preprocesses the data to generate a normalized matrix containing parameters such as temperature and humidity; the dynamic topology updating module is used for constructing an equipment association topology library, updating a relationship according to real-time data and generating a dynamic topological graph; the goods fresh-keeping reference configuration module inputs goods characteristics and equipment operation duration based on a topological graph mapping neural network model, and outputs a goods deterioration risk coefficient; an abnormal early warning decision module generates an early warning rule according to the data, and triggers delay verification in combination with real-time data; the scheduling decision optimization module generates an optimal scheduling scheme through a decision tree in combination with early warning and a resource state; the three-dimensional reservoir area mapping module constructs a three-dimensional grid model and maps environmental parameters; and the path optimization module optimizes the optimal path of the logistics equipment by using a genetic algorithm.

The invention discloses a nursing information distribution management system based on big data, and relates to the technical field of information distribution management, and the system comprises a data collection module which is used for collecting original data from a nursing data source in real time and cleaning the original data, the original data comprises patient information, nursing records, resource use conditions and nursing personnel capabilities; the data acquisition module is connected with an external system through an API (Application Program Interface); the nursing information distribution management system based on big data can comprehensively evaluate the skill level and professional ability of nursing personnel, update skill archives, and provide an accurate basis for personnel deployment; appropriate nursing personnel are allocated to appropriate tasks, so that the quality and the specialty of nursing services are improved; optimal allocation of resources and nursing personnel is realized; resource preparation is made in advance, resource waste and shortage are avoided, and the resource utilization rate is increased.

The invention discloses an application resource adaptive allocation management system for a concentrator, which relates to the technical field of concentrator management and comprises a monitoring module, a resource allocation module, a priority management module, a resource recovery module and a data storage module. According to the invention, the resource use conditions of the CPU, the memory, the bandwidth and the terminal equipment are monitored in real time, and the network flow and the terminal equipment demand data are collected. A resource allocation strategy is dynamically adjusted to ensure efficient utilization of resources. And according to the task type, the important value of the terminal equipment and the CRDI value, the priority is dynamically adjusted to ensure that the key task and the important terminal equipment preferentially obtain resources when the resources are insufficient. By monitoring the resource utilization rate and the task state, the recycling operation is triggered in real time, and the idle resources are redistributed to the current terminal equipment with the demand, so that the overall resource use efficiency is optimized.

The invention relates to the technical field of data processing, and discloses an operation and maintenance task processing intelligent distribution management system and method based on data analysis, and the system comprises a data collection module; a life cycle analysis module; a task plan making module; an operation and maintenance personnel task distribution module; and a path planning and dynamic adjusting module. Based on data analysis, in combination with the equipment operation state, the skill of the operation and maintenance personnel and the load condition, the execution sequence and route of the operation and maintenance tasks are optimized through intelligent allocation and route planning, task allocation and route can be dynamically adjusted according to the health condition of the equipment, the task priority and the real-time information of the operation and maintenance personnel, and the operation and maintenance efficiency is improved. The operation and maintenance task is efficiently and accurately completed, and the overall working efficiency and the resource utilization rate are improved.

The invention discloses a power electronic equipment parameter verification method and device based on a power distribution management system, equipment and a medium. The method comprises the following steps: receiving a data synchronization instruction of a user, obtaining a to-be-synchronized first equipment parameter, and accessing and analyzing the data synchronization instruction to obtain a target power distribution management system of to-be-synchronized data; and then, for each target power distribution management system, calling a corresponding target database, comparing the first equipment parameter with the historical equipment parameter, when the first equipment parameter is determined to be consistent with the historical equipment parameter, marking the first equipment parameter as a redundant parameter, and refusing the first equipment parameter to enter the target database. By implementing the method and the device, redundant parameters can be effectively identified and processed, effective equipment parameters stored in the database are ensured, the stability and the reliability of a power system are improved, and the system fault risk caused by data errors is reduced.

The invention belongs to the technical field of engineering project material intelligent distribution management, and discloses an intelligent building material distribution management system, which comprises a monitoring area division module, a construction progress analysis module, a material demand identification module, a distribution route planning module, a distribution sequence planning module, a distribution process monitoring module and a distribution abnormity identification module. Whether material distribution needs to be carried out or not is judged based on the construction progress of each construction unit, smooth construction can be guaranteed through the analysis mode, material supply and construction requirements can be accurately matched, resource allocation is greatly optimized, and inventory overstock is reduced. According to the invention, during material distribution, the abnormal material weight condition and the abnormal equipment operation condition in the material distribution process corresponding to each target construction unit are analyzed, whether the material distribution process corresponding to each target construction unit is abnormal is judged, the weight abnormity can be accurately identified, the material allocation can be optimized, the supply and demand balance is ensured, and the material distribution efficiency is improved. Stock overstock and waste are reduced, and cost is reduced.

The invention provides a method and a system for optimizing distributed resources of multiple transformer areas of a power distribution network. The method comprises the following steps of: acquiring historical load data, weather data and network topology parameters of each transformer area of the power distribution network for partitioning; constructing a multi-target resource allocation model according to the partitioning result and the network topology parameters; and based on the real-time load data and the network state, dynamically adjusting the output plan through a reinforcement learning algorithm, and feeding back the output plan to the power distribution management system. By constructing a multi-target resource allocation model taking minimization of operation cost and voltage stability as a joint optimization target, dual targets of minimization of the operation cost and enhancement of the voltage stability are considered, and the limitation of traditional single-target optimization is broken through; and in combination with a real-time feedback mechanism of a reinforcement learning algorithm, load fluctuation and network state change can be dynamically responded, multi-zone-area collaborative optimization operation of the power distribution network is realized, and the economical efficiency, safety and stability of the power distribution network are improved.

The invention relates to the technical field of new energy, in particular to a synthetic methanol autonomous reservation electric energy distribution management system based on a big data algorithm, which comprises a data acquisition system and a data analysis processing system, the data analyzing and processing system integrates and analyzes the generated power of the green electricity and the time-sharing weather condition to obtain a green electricity generated power historical database related to the weather condition, and the data analyzing and processing system predicts the time-sharing generated power of the green electricity according to the weather condition of the angelica keiskei acquired by the data acquisition system; the green electricity generation power prediction value is equal to the average value of the historical green electricity generation power measured values under the same weather condition.

To provide a logistics management device, logistics management system, logistics management method, and program that can prevent shipping and delivery address errors more reliably without increasing manpower.SOLUTION: A logistics management device 10 comprises a first receiving section 11, a second receiving section 12, and a determination section 14. The first receiving section 11 receives order item information D1 specifying one or more ordered items 60, and destination information D2 specifying the destination for the items 60. The second receiving section 12 receives reading results of an RFID product tag 71 attached to the packaged items 60, which stores information specifying the items 60. The determination section 14 outputs the destination information D2 associated with the order item information D1 when there is the order item information D1 specifying the items 60 matching the items 60 specified by the reading results of the RFID product tag 71.SELECTED DRAWING: Figure 1

A power distribution management system dynamically manages power from an inverter to ensure uninterrupted supply to critical devices, such as power tools, while selectively controlling power to interruptible devices, such as battery chargers, to maintain total current below a predefined threshold. The system includes a microcontroller, an analog-to-digital converter for precise current measurement, and a powerline communications module for real-time data exchange. Current transformers monitor power to each connected device, enabling the system to identify and disconnect lower-priority loads, such as battery chargers, during high-demand periods, while ensuring essential tools remain powered. The system automatically restores power to disconnected devices when load conditions allow, optimizing efficiency and preventing overloading. This intelligent power management approach is particularly suited for portable or hybrid power systems in industrial and field applications.

The present application relates to the technical fields of power group control optimization distribution management, and is used to solve the problems that the traditional elevator system not only has low operation efficiency but also has large energy consumption, and cannot adjust the elevator operation according to the actual situation, thereby causing long waiting time and increased energy consumption, and particularly discloses a power group control optimization distribution management system based on intelligent elevator, which comprises a data acquisition unit, a server, an elevator operation analysis unit, a personnel distribution analysis unit, a power consumption prediction analysis unit, a power distribution management unit, a control execution unit and a display terminal; through the cooperative work of each component, the present application realizes reasonable power distribution of each elevator according to the actual operation condition of the elevator, and improves the elevator operation efficiency and the reasonable utilization of power energy.

The invention relates to the technical field of remote sensing image data processing, and discloses a remote sensing image data scheduling and distribution management system, which comprises a central management platform and an analysis agent deployed at a remote sensing image data source end, according to the method, the analysis task is accurately delivered to the data source and is executed locally, so that the overall transmission of massive original image data is avoided, and the analysis efficiency is improved. Therefore, the bottleneck that a traditional system is limited by physical bandwidth is converted into analysis definition of a logic level, the working mode of the whole system is converted into distributed information extraction from data handling, and the instantaneity of data acquisition and the effectiveness of resource utilization are improved.

To provide a distribution management system and a distribution management method that can easily share data even between data systems that are distributed in the event of a large-scale disaster or the like.SOLUTION: In a distribution management system, a data distribution management device 1 includes a recording unit that links content data shared between a first recording medium and a second recording medium with metadata related to attributes of the content data and records the linked data on the first recording medium, and a communication device 11 having two or more communication networks 5 that communicate one or more of the content data or metadata recorded by the stage of the recording unit between the first recording medium and the second recording medium. Thus, by appropriately handling two or more communication lines, data can be easily shared even between data systems that are distributed in the event of a large-scale disaster or the like.SELECTED DRAWING: Figure 2

The present application discloses a method and management system for merging alarms of power distribution equipment, the method comprising: constructing an alarm relationship matrix according to the causal relationship between the alarm types of the power distribution equipment; when a new alarm occurs in the power distribution equipment management system, querying the alarm relationship matrix according to the alarm type of the new alarm, wherein all alarm types that can trigger the new alarm are the parent alarm types of the new alarm; querying whether the parent alarm type exists in the unprocessed alarm message in the power distribution equipment management system: if it exists, merging the alarms according to the alarm occurrence time of the parent alarm type and the relationship between the parent alarm occurrence time and the new alarm occurrence time, after the alarms are merged, the alarm notification of the new alarm is absorbed by the parent alarm type. The method has a fast parent alarm query process, and the merging logic is clear and simple, which greatly improves the processing speed, effect and system scalability of alarm merging, and can meet the requirements of the power distribution management system for alarm merging.

The application relates to the technical field of intelligent distribution of educational resources, and discloses a dynamic distribution management system of educational teaching resources based on machine learning. The system comprises the following steps: collecting, through a data acquisition module, resource request time stamps, transmission rates and computing load data of learning terminals in real time; processing the data by a multi-resolution analysis module to generate a resource use mode atlas containing time, space and content dimensions; analyzing the atlas by a resource demand mapping module using a pre-trained deep belief network to output accurate resource quota suggestions; optimizing the suggestions based on network topology by a delay compensation module to form a delay-resistant distribution scheme; executing the distribution by a resource scheduling module and starting audit tracking; and updating network parameters according to the audit data by an adaptive optimization module. The system realizes accurate prediction and dynamic adaptive optimization of resource demand, and improves resource utilization efficiency and teaching service quality.

The invention relates to the technical field of power distribution systems, and particularly discloses a communication power supply capacity expansion and power distribution management system. The system comprises a hot plug capacity expansion unit, an intelligent power distribution unit and a system collaborative management unit, and the hot plug capacity expansion unit is used for completing online addition, deletion and replacement operation of a power supply module under the condition that the system is not powered off; the intelligent power distribution unit is used for monitoring the load state in real time and dynamically distributing power resources; and the system collaborative management unit is used for overall planning and coordinating the capacity expansion operation and the power distribution strategy and ensuring the stable operation of the system in the capacity adjustment process. According to the invention, through cooperation of online capacity expansion and dynamic power distribution, uninterruptible power supply module addition, deletion and replacement, load real-time monitoring and power resource optimization distribution, and global coordination of a capacity expansion process and a power distribution strategy are realized. The maintenance flexibility, the power supply reliability and the operation continuity of the communication power supply can be improved.

The invention discloses a session key distribution management method and system. The session key distribution management method is used for a service management platform, and comprises the following steps: in a first time window, counting the number of participating terminals which have obtained session keys; calculating a current access rate according to the number of the participating terminals and the total number of preset access terminals; and when the current access rate is greater than or equal to a preset access rate threshold and no new access information is received within a preset time threshold after the preset access rate threshold is reached, sending a closing instruction to the password management service platform. Therefore, through a mode of combining dynamic statistics of the key acquisition condition of the participating terminal with access rate judgment, timely closing of a key application channel is realized, the redundant opening time of a key application window is eliminated to a certain extent, the window attack period of an illegal user is shortened, the security risk that the key is illegally acquired is effectively reduced, and the user experience is improved. And the security of encrypted communication is improved.

The present invention relates to the technical field of power distribution management, and in particular to a power distribution management system for power supply and distribution equipment; the system comprises a host computer, a cabinet, a management module, an AC / DC power supply module and a CAN communication module, wherein the management module is arranged in the cabinet, and the host computer and the AC / DC power supply module are respectively connected to the management module; the management module is used for controlling 6-way AC output and 2-way DC output by adopting priority management, and reporting acquisition information; the AC / DC power supply module is used for controlling the output of 1-way DC and 7-way AC; the host computer is used for issuing control instructions and receiving acquisition information reported by the management module; the CAN communication module is used for communication between various modules, and when opening and closing output channels by adopting priorities, the output channels with high priorities are opened and closed first, which is beneficial to the management of power distribution of power supply and distribution equipment.

The invention provides a distributed photovoltaic intelligent connection control power distribution management method, system and device and a storage medium, and the method comprises the steps: controlling a power distribution management system to execute a power distribution instruction for a plurality of power utilization objects in a target region, and obtaining the environment information of the target region in a future time period; judging whether the target area is in a power distribution affected state in a future time period or not according to the environment information; if yes, deploying a power distribution strategy of the power distribution management system in a future time period as a first preparation strategy according to an extreme weather type in the environment information; if not, the power distribution strategy of the power distribution management system in the future time period is adjusted to be a conventional strategy. The technical problems that power supply management measures of a traditional power supply system for extreme weather are not perfect enough, so that the power supply stability of the traditional power supply system in the extreme weather is poor, and the power supply efficiency is low are solved.

The invention discloses a satellite internet data distribution management system, and belongs to the technical field of data distribution. An uplink classification user plane function ULCL-UPF is deployed on each ground station as a local data anchor point. A policy control function (PCF) dynamically generates a forced shunting policy based on an identifier of a ground station accessed by a user terminal, and a session management function (SMF) issues a data classification, identification and forwarding rule to the ULCL-UPF according to the policy, so that user traffic is directly locally accessed to the Internet at the ground station through an N6 interface, and is prevented from being transmitted back to a central core network. When a user terminal is switched across ground stations, a system pre-establishes a user plane session at a target station through atomic operation and instantly switches a data path, an address is kept unchanged, and seamless and continuous services are guaranteed. And finally, the optical fiber bandwidth occupation is obviously reduced, the end-to-end transmission delay is optimized, and the economical efficiency and the user experience of the satellite internet service are improved.

The invention relates to the technical field of intelligent logistics management, and discloses an EWTMS full-link intelligent warehouse distribution management system. According to the system, digital mirror image mapping composed of a storage physical space mirror image and a distribution process network mirror image is established, and historical data is used for driving dynamic twinborn evolution of the system. And based on an evolution result, coupling the identified physical efficiency bottleneck region and the flow delay sensitive node, and generating a full-link dynamic vulnerability topological graph. The system further drives the topological graph to perform instant reconstruction according to real-time cargo movement data and equipment state signals, and dynamically generates a warehouse allocation instruction by analyzing reconstruction differences. According to the scheme, deep collaboration and overall vulnerability visualization of storage and distribution links are realized, adaptive strategy adjustment based on real-time data is supported, and the overall efficiency and response agility of a full-link warehouse distribution system are improved.

The present application relates to power distribution technology field, specifically to intelligent power distribution management system, target vehicle and intelligent power distribution management method. The intelligent power distribution management system comprises: a vehicle body domain controller and an intelligent power distribution device, the intelligent power distribution device is pluggable connected with each load in the target vehicle;Among them: the vehicle body domain controller is used for obtaining the multi-source vehicle signal corresponding to the target vehicle;The multi-source vehicle signal comprises at least two of vehicle dynamic signal, vehicle body state signal, occupant state signal, environment perception signal, fault signal;Based on the multi-source vehicle signal, the current driving scene type is determined, and the current driving scene type is transmitted to the intelligent power distribution device;The intelligent power distribution device is used for determining at least one target load from each load based on the current driving scene type;And each target load is executed preset power distribution management action. The preset power distribution management action is executed, the standardization and precision of load power distribution are realized, and the stable operation of load is guaranteed.

The present invention discloses a message queue distribution management system and method based on data monitoring, which relates to the field of data processing technology. The system includes: a message queue monitoring module, a message processing mode management module, a message compensation mode management module, a single compensation module, a batch compensation module, a failure alarm module and a message queue security monitoring module. The message processing status is compared with the rules of the message processing mode. When at least one indicator meets the threshold judgment rule, the high-speed processing mode is adopted, otherwise the normal processing mode is entered. When the message queue is in the normal processing mode, the failure rate of message processing in the second unit time period is used to determine whether to resend the messages in the database individually or in batches. The high-throughput message sending system is supervised by a three-level compensation mechanism of automatic retry, timed retry and manual intervention, ensuring the final consistency and high reliability of the messages while maintaining high throughput.

The invention discloses a power distribution intelligent management system based on artificial intelligence, and the system comprises an acquisition module which collects the current power utilization data of a power utilization area; the acquisition switching module is respectively connected with the power distribution processing module and the acquisition module; the power distribution processing module is respectively connected with the acquisition switching module and the electric energy conversion module, and controls the acquisition switching module to work so as to send a control signal to the corresponding electric energy conversion module according to the input current power consumption data of the power consumption area; the electric energy conversion module is connected with the energy storage module and controls the energy storage module to charge and discharge according to the control signal; a preset AI model is stored in the power distribution processing module, current power consumption data and historical power consumption data of the power consumption area are input to the AI model, and future power consumption demands and equipment hidden danger information corresponding to the power consumption area are output. And generating a control signal according to the future power consumption demand of each power consumption area, the equipment hidden danger information and the future weather information corresponding to the power consumption area.

To prevent multiple delivery objects of different types from being taken by mistake without opening and closing a delivery container, and to automate the checking process, a medical treatment procedure is taken as an object. A medicine package (140), a delivery container (26), a delivery management device (7), and a bar code form (137) are provided. The bar code form (137) has a bar code label (137c) indicating a serial number to which the medicine is related, a bar code image portion (137e) indicating the serial number to which the medicine is related, and a bar code label (137d) indicating a delivery container ID to which the delivery container is related. When the bar code form, after the medicine package to which the bar code label (137c) separated from the bar code form is attached, the delivery container, and the separated bar code label (137c) reaches a delivery destination, the medicine package is checked using the bar code label (137d) and the bar code image portion (137e) attached to the delivery container.

The invention relates to the technical field of material management, in particular to a dipotassium phosphate storage and distribution management system, which comprises an unbalance loading feature extraction module, a steering section risk identification module, a station passing feature classification module, a path stability evaluation module and a path combination optimization module. According to the method, dynamic extraction and normalization expression are carried out on material mass distribution and gravity center shift states in the loading process, and a path whole-course passing trend sequence is constructed in combination with steering response change in a discharging path and a discharging tail end passing deviation trend; then, traffic state judgment and path traffic grade evaluation are carried out through trend consistency and fluctuation characteristics, and path optimization is completed in a path combination stage based on trend abnormal section replacement and a trend sequence combination evaluation value; dynamic classification, trend identification and path selection optimization can be carried out on the passing risk state of the whole process from loading to unloading of dipotassium phosphate under the multi-station and multi-path condition.

This invention belongs to the field of gateway management, and particularly relates to an intelligent distribution management system and method for multi-channel SMS gateways. It includes a status acquisition module, a semantic parsing module, and a matching decision module. The status acquisition module receives receipt messages from M heterogeneous SMS gateways, locates the original status code field, and extracts key symbol strings containing return code values. The semantic parsing module, based on a gateway-corresponding mapping rule base, determines the logical distance between the return code value and the auxiliary symbol string, generating a standardized status semantic vector. The matching decision module matches the vector with a standard semantic template library and executes corresponding management actions based on the actual sending result type. This invention achieves unified parsing of heterogeneous gateway status codes, eliminating the need for hard-coding adaptation to new gateways, accurately triggering end-to-end management, and improving SMS delivery rate and system stability.