132results about How to "Avoid shortage" patented technology

The invention provides a new energy station operation intelligent management method and system, and relates to the technical field of new energy station operation, and the method comprises the steps: collecting various data in real time through a sensor and monitoring equipment in a new energy station; transmitting the collected data to a central data center, carrying out iterative optimization processing, and determining final data classification, cleaning and compression parameter combination so as to construct a new energy station big data platform; and according to the constructed big data platform of the new energy station, constructing a digital twinborn model of the new energy station so as to reflect the operation state, the equipment health condition and the environment change of the station in real time. Through real-time data acquisition, digital twinborn model construction and simulation analysis, automatic generation and closed-loop management of an operation optimization scheme are realized, and the operation efficiency, prediction accuracy and fault handling capacity of the new energy station are effectively improved.

The invention relates to the technical field of irrigation control, in particular to a water and fertilizer integrated irrigation control method based on a wheat growth cycle, which comprises the following steps: collecting soil humidity and wheat growth state data, and screening key soil and biological parameters influencing wheat growth by applying a random forest algorithm; and predicting the requirements of the wheat on water and nutrition in the differential growth stage according to the key parameters. According to the method, the water and nutrition requirements of wheat in different growth stages are accurately predicted by adopting a random forest algorithm, resource allocation is directly carried out according to the actual needs of plants, the problems of resource waste and insufficient supply of a traditional irrigation system are effectively avoided, and a dynamic adjustment strategy is based on current soil and plant states and also based on a dynamic adjustment strategy. And a water and fertilizer supply plan is optimized by using historical and predicted data, the capability of responding to environmental changes is enhanced, irrigation and fertilization parameters are finely adjusted by combining real-time feedback circulation with a PID controller, and the accuracy and effectiveness of each time of irrigation and fertilization are further ensured.

The invention belongs to the technical field of operation and maintenance database management, and discloses an operation and maintenance information database intelligent establishment management system, which comprises a monitoring area division module, an operation and maintenance data acquisition module, an operation and maintenance frequency correction judgment module, a correction operation and maintenance frequency analysis module, an operation and maintenance quality anomaly analysis module, an operation and maintenance quality anomaly judgment module and a data storage library. When the power operation and maintenance data is acquired, the personnel operation and maintenance data, the equipment operation and maintenance data and the correction influence data are acquired, so that a more comprehensive data analysis basis can be provided, and the accuracy and the reliability of the data are ensured. When the operation and maintenance frequency analysis is carried out, the analysis of the corrected operation and maintenance frequency is further carried out based on the judgment result of the operation and maintenance frequency correction demand analysis, and the operation and maintenance condition and demand of the power system are truly reflected. According to the method, the abnormal monitoring area and the abnormal operation and maintenance personnel are further identified during abnormal operation and maintenance condition analysis, so that the operation and maintenance work is more targeted.

The invention discloses a multi-warehouse management warehouse-in and warehouse-out method and a digital warehouse management system, and the digital warehouse management system carries out the data interaction with an enterprise resource management system, a manufacturing execution system, a warehouse control system and a robot control system through an API interface. The method comprises the steps of monitoring data sent by a manufacturing execution system and a handheld terminal in real time, if a raw material warehousing order number sent by the handheld terminal is monitored, executing a raw material warehousing process, if a raw material ex-warehouse request of the manufacturing execution system is monitored, executing a raw material ex-warehouse process, and if a semi-finished product warehousing request of the manufacturing execution system is monitored, executing a semi-finished product ex-warehouse process; and if a semi-finished product warehouse-out request of the manufacturing execution system is monitored, executing a semi-finished product warehouse-in process, if a semi-finished product warehouse-out request of the manufacturing execution system is monitored, executing a semi-finished product warehouse-out process, and if carton data of finished product warehouse-in of the manufacturing execution system is monitored, executing a finished product warehouse-in process. According to the invention, a plane library, a three-dimensional library and a line-edge library are all included in a management range, and meanwhile, the dependence on manpower is reduced.

The invention relates to the technical field of logistics informatization management, and discloses a warehousing method for logistics informatization management, and the method comprises the steps: 1, determining the target and demands of warehouse management, and reasonably planning a warehouse region according to the actual condition of a warehouse; 2, inputting detailed information of the goods into a warehouse management system, and inputting and managing customer information; 3, receiving purchased commodities, and carrying out inventory management and ex-warehouse management; 4, collecting various data in the warehousing operation process in real time, including the warehousing quantity, the ex-warehouse quantity, the stock quantity and the operation efficiency, and providing a decision support function according to a data analysis result; and 5, regularly maintaining and checking the warehouse management system to ensure the stable operation of the system and the safety of data. According to the warehousing system for reducing manual operation and paper file processing and logistics informatization management, automatic equipment, an information system and the Internet of Things technology are adopted, and the management efficiency and accuracy are greatly improved.

The invention discloses an intelligent order flexible processing production scheduling management method, and relates to the technical field of order management. The method comprises the steps of obtaining demand data from a baking order management system and performing priority classification on orders to ensure timely delivery of important orders and improve customer satisfaction. The future consumption of the baking raw materials is predicted through a time sequence prediction algorithm, the inventory cost is reduced, and the production continuity is guaranteed. And configuration of production equipment, workers and raw materials is optimized through mixed integer linear programming, reasonable utilization of resources is achieved, and the production efficiency is improved. The production progress and the variation of raw material consumption are controlled and monitored through the statistical process, abnormal conditions are recognized in time, and stable product quality is ensured. And flexible processing scheduling adjustment is carried out according to the production abnormity index, and the adaptability of the production system is enhanced. In conclusion, according to the method, the intelligent level of production management is effectively improved, the production process is optimized, and powerful support is provided for enterprises in the market with fierce competition.

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 relates to an operation method of an unattended intelligent mobile emergency cabin. Comprising the steps of system initialization, material information configuration, authority verification, order generation, material warehouse-in and warehouse-out, inventory monitoring, intelligent prediction, decision support, data processing and synchronization and the like. Various parameters are obtained and configured through the system configuration module, material information is managed through the material detail directory tree module, accuracy of access authority is ensured through the face recognition and authority verification module, and automatic order generation and inventory updating are achieved through the automatic order generation and inventory updating module. A gravity sensing unit is used for monitoring warehouse-in and warehouse-out of materials, an inventory alarm and decision-making auxiliary module is used for monitoring an inventory state and sending an alarm signal, an intelligent prediction unit is used for predicting a material use trend and generating a replenishment plan, and finally data processing and synchronous management are realized through a data processing module. Manual operation is reduced, management efficiency is improved, timeliness and reliability of material supply are ensured, and the method is suitable for the fields of electric power engineering and the like.

The invention discloses an integrated dual-channel control system for a numerical control system, which belongs to the technical field of numerical control dual-channel control systems, and comprises a resource monitoring module, a resource distribution module, a parameter acquisition module, a channel synchronous feedback module and a control module, and the resource monitoring module, the resource distribution module and the control module are in communication connection in sequence. The parameter acquisition module, the channel synchronization feedback module and the control module are in communication connection in sequence, the resource monitoring module is used for monitoring resources including processor utilization rate and memory occupation, and the resource distribution module is used for dynamically distributing resources and adjusting a dual-channel resource distribution strategy according to a real-time running state of a system; according to the integrated dual-channel control system for the numerical control system, resources are allocated, so that dual-channel response is quicker. And meanwhile, when the problem of channel asynchronization can be rapidly solved, the system is more stable, and follow-up machining is facilitated.

The invention discloses an intelligent cabin networked multi-cabin cooperative scheduling management system and a method thereof, and relates to the technical field of camping intelligent cabins, and the method comprises the following steps: collecting various parameter information generated in the operation process of a central scheduling system, including system load management information and supply chain robustness information, and after the collection, carrying out cooperative scheduling on the system load management information and the supply chain robustness information; and processing the system load management information and the supply chain robustness information. According to the invention, the load distribution index and the supply chain breakpoint index of the central scheduling system are collected in real time, and the data evaluation index is generated, so that the operation state of the system is accurately analyzed. A high-risk state is judged by setting a threshold value, and when a data evaluation index exceeds a reference threshold value, the system immediately generates a high-risk early warning signal to prompt a potential fault or abnormality. According to the method, the response speed of the system to the abnormity is increased, supply chain unbalance or logistics interruption caused by delay is avoided, particularly under the condition of large demand fluctuation, cargo overstock or shortage can be effectively prevented, and stable operation of the supply chain is ensured.

The invention discloses a spice processing and dissolving tank with a directional continuous feeding mechanism. The spice processing and dissolving tank comprises a dissolving barrel, a continuous feeding barrel is arranged at the top of the dissolving barrel, a top sealing cover is arranged at the top of the continuous feeding barrel, a buffer discharging barrel is arranged at the bottom of the dissolving barrel, and a servo motor is arranged in the center of the top of the top sealing cover; through precise feeding, precise connection of a raw material container and a feeding branch pipe according to processing requirements, flexible connection of gas supply equipment, adaptation of various media, guarantee of precise and stable supply of raw materials and the media, regulation and control of a rotary sealing frame through cooperation of a magnetic coupling, precise feeding according to requirements and stirring of a spiral cone, continuous and stable feeding and dissolution are achieved, and the efficiency is improved; the spiral cone is matched with the heater to create a dissolving environment, the turbulent flow pipe enhances stirring, the discharging pipe set flexibly pumps materials according to the rhythm, the buffering discharging barrel and the discharging pipe set guarantee safe and stable discharging, the servo motor is used for driving, and all the components are tightly and stably linked.

The invention relates to the technical field of blood inventory management, in particular to a radio frequency tag reuse method and system for blood inventory management. Comprising the following steps that blood is collected, radio frequency tags corresponding to carriers are distributed, information of the radio frequency tags is read, the blood is put in storage, different kinds of blood are recorded and stored in the corresponding carriers, and rechecking is conducted through the number of the empty carriers; the blood storage information is acquired, the blood information is classified, the ex-warehouse quantity of blood of different blood types every day is acquired, and the blood demand quantity of different blood types is predicted, the demand quantity is predicted based on the ex-warehouse quantity, blood sampling and stock adjustment strategies can be planned in advance, blood shortage or excess is avoided, scientific classification and fine management of blood are achieved, and the blood quality is improved. The clinical blood use requirement is better met, the real-time stocktaking and alarming functions can remind workers to supplement insufficient blood types in time, and the timeliness and stability of blood supply are ensured.

The invention discloses an intelligent nursing plan assessment method, and relates to the technical field of nursing plan assessment, and the method comprises the steps: obtaining the nursing plan assessment data of a patient, namely the personal physiological state data of the patient and the nursing service quality data, carrying out the preprocessing of the nursing plan assessment data, and obtaining a nursing plan assessment sequence; according to the intelligent nursing plan assessment method, the effectiveness and applicability of the current nursing plan of the patient can be assessed more accurately by collecting and analyzing the personal physiological state index data and the nursing service quality index data of the patient and calculating the nursing plan matching coefficient, the physiological state change of the patient is considered, and the accuracy of the nursing plan assessment is improved. In addition, quality factors of nursing services are integrated, the nursing plan can be dynamically adjusted by periodically updating the physiological data and service quality data of the patient, it is ensured that the nursing plan is always matched with the actual demand of the patient, the treatment effect and life quality of the patient can be improved, and unnecessary medical resource waste is reduced.

The invention relates to the technical field of aluminum alloy production data processing, and provides an aluminum alloy standard sample production method and system, and the method comprises the steps: obtaining a data traceability table, substituting the data traceability table into a preset production model, and generating control parameters of each production unit; according to the system, automatic control over the steps of a cooling device, a preheating mold, molten aluminum treatment, casting, cooling, cutting and the like is achieved, the system comprises a casting preparation unit, a cooling device unit, a preheating mold unit, a molten aluminum treatment unit, a casting unit, a cooling unit, a cutting unit and a data consulting unit, traceability and visualization of production data are achieved, and the production efficiency and the product quality are improved; and the intelligence and transparency of the production process are enhanced, and comprehensive optimization is provided for production of the aluminum alloy standard sample.

The utility model belongs to the technical field of chemical equipment, and particularly relates to a liquid preparation tank which comprises a liquid preparation tank body, a feeding pipe is arranged at the top of the liquid preparation tank body, and a discharging pipe is arranged at the bottom of the liquid preparation tank body; the stirring device is arranged on the lower end surface of the liquid preparation tank body and is used for stirring a product in the liquid preparation tank body; the liquid supply assembly is arranged above the liquid preparation tank body and is used for infusing liquid; wherein the liquid supply assembly comprises a liquid inlet pipe and a liquid conveying pipe, the liquid inlet pipe is arranged above the liquid preparation tank body and is communicated with the liquid preparation tank body, the liquid conveying pipe is arranged above the liquid inlet pipe, a pressurizing structure and a spraying part are arranged between the liquid conveying pipe and the liquid inlet pipe, and the spraying part is arranged at the tail end of the liquid inlet pipe; the spraying device is used for spraying liquid to the inner wall of the liquid preparation tank body. And the effects that the powder adhered to the inner wall of the liquid preparation tank can be showered, and the production quality of products is improved are achieved.

The invention relates to the technical field of electric power material distribution management, particularly discloses an electric power material distribution management system and method based on big data, and aims to solve the problems of dispersed material data, inaccurate demand prediction, low distribution efficiency, improper inventory management and the like in an existing system. According to the specific technical scheme, the method comprises the steps of integrating material names, material description information and supplier information, and establishing a unified electric power material database; carrying out preliminary classification and refined classification on the materials by using a clustering algorithm, and adding a label for each type of materials; historical demand data are analyzed, a demand prediction model is constructed, and the prediction precision is improved; dynamic optimal distribution path planning is realized by utilizing a geographic information system technology and a linear programming algorithm, and the distribution efficiency is improved; the stock is dynamically adjusted by calculating the safe stock and the reorder cycle, and stock overstock or shortage is avoided; the distribution plan is dynamically adjusted according to the inventory level and the demand frequency, the distribution process is monitored in real time, and on-time distribution is ensured.

The invention relates to the technical field of intelligent eye medicine boxes, and discloses an intelligent eye medicine box and a control method thereof.The eye medicine box is divided into a plurality of compartments for storing different types of medicine, and a sensor is arranged in each compartment to detect the weight of the medicine in real time; and accurately calculating the residual amount of the medicine by combining the initial weight data of the medicine, the dosage of the medicine currently used by the user, the last time of using the medicine by the user, the weight of the medicine in the last time and the total number of times of using the medicine by the user. Furthermore, the future drug use dosage and use rate are predicted through a machine learning model, the remaining amount is optimized based on the prediction results and the real-time weight data, the optimized remaining amount is obtained, and the optimal remaining amount is calculated according to the optimized remaining amount and the future drug use rate. Specifically, firstly, the accuracy of medicine management is remarkably improved through a smoke and flame identification method, it is ensured that a patient can use medicine on time according to the amount, and the poor treatment effect caused by missed taking or wrong taking is avoided;

The invention provides an intelligent coal blending combustion method and system, and relates to the technical field of thermal power generation, and the method comprises the steps: collecting combustion parameter information of different coal types, related indexes of each combustor of a boiler corresponding to the combustion parameter information, the consumption amount of each type of fire coal per month, and the minimum load requirement of the boiler; establishing a coal blending combustion DMD model based on the combustion parameter information, the related indexes, the fuel coal consumption amount and the minimum boiler load requirement, wherein the coal blending combustion DMD model is used for minimizing the fuel cost and meeting the boiler load requirement; solving the coal blending combustion DMD model by adopting an Excel planning solving tool, determining the usage amount of each combustor for different coal types, and generating an optimal coal blending scheme; according to the method, the coal blending combustion DMD model based on the combustion parameter information, the related indexes, the fire coal consumption amount and the boiler minimum load requirement is established, and an Excel planning solving tool is adopted for solving, so that the fuel cost can be minimized, and meanwhile, the boiler load requirement is met, and pollutant emission is controlled.

The invention discloses a password service cluster scheduling management system and method.The system comprises a service scheduling gateway, a temporary password service cluster and a temporary password service, and the service scheduling gateway is deployed in a cluster mode and used for creating, deleting and state checking operation of the temporary password service; meanwhile, the request of the application client is forwarded to the corresponding password service cluster; the temporary password service cluster is composed of at least two temporary password services; the temporary cryptographic service is used for providing cryptographic operation capability for the client, the operation capability comprises hash operation, symmetric key encryption and decryption operation and asymmetric key cryptographic operation, and the service scheduling gateway can execute load balancing and failover when the cryptographic service cluster is unavailable. And temporarily serving as a cryptographic service to execute cryptographic operation for the client. According to the method, the overall resource utilization rate and the use efficiency of the password service are optimized, and reasonable allocation and use of resources are promoted.

The invention provides a hotel guest room management method and system based on cloud computing, and is applied to the field of cloud data processing. By monitoring the access resources cached by the hotel terminal in real time, the current access situation can be rapidly obtained, the load state of the system can be reflected in time, whether the current access resources reach the preset load upper limit or not can be judged in real time, it is ensured that corresponding measures are taken in time under the high-load situation, system overload is avoided, and the service life of the system is prolonged. Meanwhile, access resources are predicted through a pre-trained machine learning model, possible peak periods and load conditions can be identified in advance, scheduling can be performed in advance, resource contents of hotel terminals are dynamically scheduled according to prediction results, reasonable allocation and use of resources in peak periods are ensured, and resource waste or shortage is avoided.

The invention relates to the technical field of supply chain analysis, in particular to a supply chain cooperative processing method based on digital service, which comprises the following steps: a central processing unit analyzes demand fluctuation through a trend analysis algorithm to generate a demand fluctuation characteristic model; based on the demand fluctuation characteristic model, a fault-tolerant threshold value of each node is set, and the fault-tolerant threshold value comprises a resource redundancy range, logistics delay tolerance and inventory buffer capacity; on the basis of the demand fluctuation characteristic model and the fault-tolerant threshold value, predicting a future demand peak value and a future demand valley value of the supply chain in real time by using an AI algorithm, and dynamically adjusting resource configuration of each node through resource allocation; and an inter-node cooperative fault-tolerant mechanism is established, so that when a certain node exceeds a fault-tolerant threshold value, the demand pressure is relieved by allocating resources of other nodes. According to the invention, under the condition that the demand fluctuation is relatively large, the system can flexibly respond and rapidly adjust, so that the adaptability and the reaction speed of the supply chain are improved.

The invention relates to the technical field of automatic control, in particular to an intelligent pasture concentrate control management method and system based on the Internet of Things. The method comprises the following steps: acquiring livestock growth state data; performing environmental parameter acquisition on the pasture management module by using a sensor to obtain pasture environmental parameter information; performing feed demand data real-time collection on the pasture management module based on the livestock growth state data and the pasture environment parameter information to obtain pasture feed demand data; and performing feed component extraction on the pasture feed demand data to generate pasture feed component data. Through the Internet of Things technology, the data processing technology, the automatic control technology and the intelligent management technology, centralized batching and unified production of feed are achieved through an automatic control system according to livestock growth state data and pasture environment parameter information; real-time monitoring of the remaining condition of the stock feed is achieved, stock early warning is automatically sent out, and the accuracy of pasture feed control is improved.

The invention relates to the technical field of energy scheduling optimization, in particular to a power plant multi-energy collaborative scheduling optimization emission reduction system, which comprises a constraint construction unit, a first target construction unit, a second target construction unit, a third target construction unit, a fourth target construction unit and a target optimization unit, and further comprises a supply modeling unit and a power plant multi-energy collaborative scheduling optimization emission reduction unit, the supply modeling unit is used for modeling energy supply of a target power plant to obtain an energy supply model of the target power plant, acquiring the energy supply quantity of the target power plant based on the energy supply model of the target power plant, and transmitting the energy supply quantity of the target power plant to the constraint construction unit. According to the invention, the scheduling scheme of the power plant can be comprehensively optimized by integrating multiple target construction units including the operation cost, the carbon transaction cost, the pollutant discharge and the day-ahead cost, and the multi-target optimization can better balance the economic benefit and the environmental influence, so that the overall benefit of the operation of the power plant is improved.

The invention discloses a fabric inventory optimization method and system, and the method comprises the steps: collecting market, sales and production data; predicting a fabric demand according to the collected data; planning fabric purchase and production plans according to the predicted demands, and making inventory space planning in advance; and monitoring the fabric inventory level in real time, and adjusting the purchase and production plan according to the inventory level. According to the invention, market demands and trends can be reflected in real time, fabric demands can be effectively predicted and planned, the inventory level can be dynamically adjusted, and optimal management of fabric inventory is realized.

The invention provides a vaccine management method and system based on big data analysis, a storage medium and electronic equipment, and the method comprises the steps: generating a unique identification code for each vaccine, and binding the unique identification code with the corresponding vaccine; when the vaccines are stored or distributed, acquiring management information uploaded by a user after scanning the unique identification code of each vaccine; integrating the external data set and the internal data set into a data set, wherein the external data set comprises a disease incidence rate, epidemic disease data and seasonal changes; constructing a vaccine usage amount prediction model and a vaccine demand prediction model according to the data set, predicting a predicted usage amount in a first preset time period in the future according to the usage amount prediction model, and predicting a predicted demand amount in the first preset time period in the future according to the vaccine demand prediction model; and according to the predicted usage amount and the predicted demand amount, the stock amount is acquired, and the optimal order amount is calculated according to the stock amount. According to the invention, fine management of vaccines can be realized.

The invention discloses a medical instrument demand management system and method based on big data, and the system comprises a demand trend module, a demand estimation module, a market analysis module, and a supply module, and relates to the technical field of medical instrument management. The technical key points are as follows: the use proportion of each age group is analyzed according to the deviation condition of the demands of different age groups for various medical instruments, so that the market demand of each medical instrument can be accurately speculated according to the age change condition of population; secondly, the diffusion trend and prevention and control requirements of various infectious diseases in a market area are known by analyzing treatment data, so that adjustment and planning are conveniently made before virus outbreak, the hysteresis quality of medical instrument supply is changed, and the requirements during market change are met; meanwhile, the upper limit of expansion of each supplier in the current market area can be known in combination with competitive product information and the market proportion, so that the production scale can be reasonably adjusted, and excessive competition and resource idleness are avoided.

The invention discloses an intelligent steel bar screening optimized blanking method and system, and relates to the technical field of constructional engineering, and the method comprises the steps: collecting the attribute information of all to-be-blanked steel bars, and carrying out the preprocessing; constructing a multi-dimensional feature matrix based on the preprocessed steel bar attribute information; according to the multi-dimensional feature matrix, the similarity between the reinforcing steel bars is measured, and an initial candidate combination list is formed; performing optimal combination according to the initial candidate combination list to generate an optimal combination scheme; based on the optimal combination scheme, an intelligent inventory prediction model is constructed, and the number of steel bars needing to be supplemented is predicted; dynamically adjusting the inventory plan according to the prediction result in combination with the current inventory level and the safe inventory setting; by combining the intelligent inventory prediction model and the dynamic adjustment mechanism, the steel bar demand quantity in a period of time in the future is accurately predicted, and the purchase plan is flexibly adjusted according to the actual situation, so that the inventory holding cost is reduced, and the risk caused by insufficient or excessive supply is avoided.

The invention discloses a special first-aid medicine and article storage and distribution construction system and method. The system comprises an Internet of Things module, a multi-subject cooperation module, an inter-hospital cooperation module, a cloud computing platform module, a block chain module, an intelligent scheduling center module, a storage network module and an emergency response module. The method comprises the steps of 1, demand integration and joint purchase; step 2, storage network construction and inventory optimization; step 3, intelligent scheduling and path planning; 4, emergency response and cross-mechanism deployment are carried out; 5, whole-process tracing and data uploading are carried out; step 6, performance monitoring and continuous optimization; according to the invention, a special first-aid medicine and article storage and distribution construction system is designed, and standardized data interaction and close cooperation among medical institutions, suppliers and logistics enterprises are realized by establishing a multi-subject cooperation mechanism such as joint purchase, inventory sharing, emergency allocation and performance monitoring. The joint purchasing module gathers the purchasing demands of the medical institutions in the region.

The invention discloses a telecommunication industry cloud resource pool resource management system and method. The system comprises a multi-cloud management platform, a heterogeneous resource pool, a uniform resource arrangement module, a capacity planning module, a uniform monitoring module, an intelligent operation and maintenance module and a security audit module. The multi-cloud management platform realizes unified management of public cloud, private cloud and heterogeneous resources; the heterogeneous resource pool is used for providing calculation and storage resources; the uniform resource arrangement module realizes automatic arrangement and deployment of cloud resources; the capacity planning module plans the capacity of the cloud resource pool; the unified monitoring module monitors the cloud resource pool; the intelligent operation and maintenance module analyzes and finds potential faults and risk points, and carries out early warning and disposal; and the security auditing module provides an auditing function for the use condition of the cloud resources. According to the method, the resource management process can be simplified, the management efficiency is improved, the labor cost and the operation and maintenance cost are reduced, and the resource scheduling flexibility and the operation and maintenance efficiency are improved.

The present invention relates to the technical field of power management data analysis, and in particular to a method and system for unified intelligent power management. The method comprises the following steps: integrating and collecting heterogeneous power data based on a power management system to generate integrated power data; performing multi-level power perception feature analysis based on the integrated power data to generate multi-level power perception feature data; performing local multi-element power perception driven associated feature analysis based on local multi-level power perception feature data to generate local power perception driven associated feature data; performing local dynamic power scheduling demand intelligent analysis based on local power perception driven associated feature data to generate local dynamic power scheduling demand data; designing global intelligent power management decisions based on local dynamic power scheduling demand data; and executing intelligent power unified management operations based on global intelligent power management decisions. The present invention analyzes the characteristics of heterogeneous power supplies and the characteristics of each power usage scenario to achieve intelligent unified power management.