51 results about "Inventory analysis" patented technology

The present invention relates to the technical field of concrete construction, and in particular to a concrete environmental impact assessment method based on a life cycle approach. The method comprises the steps of: determining a concrete type on the basis of a construction environment and design requirements of a project; analyzing each stage of concrete engineering in a functional unit, and determining an evaluation range thereof; establishing a region-specific concrete life cycle database; performing inventory analysis on an evaluation range of a concrete life cycle; after the inventory analysis, using component inventories of full-life-cycle concrete to establish indicators on the basis of environmental policies of a construction region, so as to perform an environmental impact assessment; and finally, analyzing and evaluating various energy indicators of the concrete, and guiding the establishment of a subsequent project construction plan. In the assessment method, a full-life-cycle assessment is performed on concrete, the degrees of environmental impact caused by different construction processes in concrete engineering are objectively and holistically assessed, and evaluation and improvement schemes are proposed for the concrete construction, thereby reducing the energy and material consumption in concrete engineering construction.

A system and method for streamlining and accelerating cloud migration processes may include a plurality of modules including an adaptive prompt module configured to create a library of prompts, maintain the library of prompts, and select one or more prompts from at least one large language model (LLM) based on a prompt strategy that may consider which prompts in the library are most likely to elicit accurate and relevant responses from the at least one LLM. Another module may perform inventory analysis to enhance the prompt strategy. A third module may perform workload transformations based on the library of prompts, and a fourth module may provide validation mechanisms. The adaptive prompt module also may include a self-learning module configured to enable integration across the plurality of modules.

The present invention provides a carbon emission accounting method and system for an ex situ remediation technology for contaminated soil, including determining a variety of activity elements in the carbon emission of the ex situ remediation technology for contaminated soil and the carbon emission factors corresponding to each activity element, determining the occurrence amount and carbon emission factors of the various activity elements, calculating the carbon emissions of a variety of links, and calculating the carbon emission level per unit of contaminated soil volume; the carbon emission accounting method of the present invention adopts an applicable carbon emission factor acquisition approach through boundary demarcation and inventory analysis, unifies the carbon emission accounting process of a variety of ex situ remediation technologies, can accurately evaluate the carbon emissions of the soil ex situ remediation process, is helpful to carry out carbon emission accounting for a variety of contaminated soil types and remediation projects in multiple regions, has good application potential, and at the same time, through the setting of the carbon emission accounting system, makes the collection and accounting process more scientific and convenient.

To make it possible to grasp dead stock that is to be handled preferentially in the inventory.SOLUTION: An inventory analysis device includes: an inventory index value acquisition unit 12 that acquires an inventory index value, which is an index value pertaining to the inventory status of a commodity; a sales index value acquisition unit 13 that acquires a sales index value, which is an index value pertaining to the sales status of the commodity; and an inventory identification unit 14 that identifies, as dead stock, the inventory of commodity having the inventory index value evaluated to be lower than an inventory threshold value and the sales index value evaluated to be lower than a sales threshold value. The inventory status is identified on the basis of not only a viewpoint as to whether the inventory index value is evaluated to be lower than the inventory threshold value, but also logical product with a viewpoint as to whether the sales index value is evaluated to be lower than the sales threshold value, thereby identifying the inventory of commodity with low evaluation values indicated for both the inventory index value and the sales index value, as dead stock that are to be handled preferentially in the inventory.SELECTED DRAWING: Figure 2

The invention relates to the technical field of medicine management, in particular to a medicine warehousing and dispensing management system based on traceability codes. According to the drug warehousing and dispensing management system based on the traceability codes, the management system is integrated in a control system in a warehouse, a three-axis mechanical arm is further arranged in the warehouse, and the three-axis mechanical arm is used for being matched with the management system to achieve the drug warehousing and dispensing process; the management system comprises a medicine warehousing unit which is used for receiving information of newly-warehoused medicines and transmitting the data to other units. According to the invention, automatic warehousing and dispensing of medicines are realized by utilizing automatic control and combining with a traceability code technology, so that the scientific and technological level and the intelligent degree of medicine management are improved, the medicine access efficiency can be improved, and the risk of human errors is greatly reduced; in addition, the medicine storage state can be monitored in real time, an inventory analysis report can be generated, and a more scientific and reasonable basis is provided for medicine management of hospitals.

In an approach for creating a virtual network of smart refrigerators and tracking a plurality of food inventories, a processor creates a virtual refrigerator network by connecting a plurality of smart refrigerators. A processor gathers an inventory of one or more products stored in the plurality of smart refrigerators. A processor generates a recipe suggestion based on the one or more products, wherein the one or more products have at least one of a freshness level and an expiration date within a predetermined threshold. Responsive to one or more users each associated with one or more of the plurality of smart refrigerators accepting the recipe suggestion, a processor gathers a subset of the one or more products involved in the recipe suggestion. Responsive to determining a meal has been prepared, a processor delivers a respective portion of the meal to each household of the one or more users.

The invention relates to an entity object traversal recognition detection method and device based on unmanned aerial vehicle equipment. The method comprises the following steps: acquiring cargo information acquired by unmanned aerial vehicle equipment in a cargo storage area, wherein the cargo information represents cargo storage related information acquired by the unmanned aerial vehicle equipment running according to a preset flight path and sequentially acquiring each storage position in the cargo storage area; according to the entity feature category in the cargo information, a cargo recognition algorithm matched with the cargo information is determined, cargo feature information corresponding to the cargo information is recognized based on the cargo recognition algorithm, and the cargo feature information comprises the product model, the storage number and the storage position of the corresponding cargo; and comparing the cargo feature information with inventory information in a preset database to obtain an inventory analysis result of the cargo storage area. By adopting the method, the systematic analysis of the cargo storage state can be realized, and the accuracy of inventory management and the real-time performance of information updating can be improved.

The invention relates to the technical field of inventory management, in particular to an intelligent inventory management method and device, a medium and a product, and the method comprises the steps: controlling an inventory management system to carry out inventory data query based on query parameters corresponding to an inventory query instruction when the inventory query instruction is detected. And when an inventory updating instruction carrying the inventory updating data is detected, performing inventory updating based on the inventory updating data and the current inventory data to obtain updated inventory data. Carrying out inventory analysis on the basis of the updated inventory data and an inventory early warning rule, and determining an inventory analysis result; and when the inventory analysis result is that the inventory is abnormal, generating inventory early warning information. The intelligent inventory management method is adopted, multiple APIs and automatic processes are integrated, the defect of insufficient intelligence in traditional school uniform inventory management is effectively overcome, real-time synchronization and automatic processing of inventory data are achieved, and the efficiency and accuracy of inventory management are improved.

The invention belongs to the field of blend oil, relates to a data analysis technology, aims to solve the problem that an intelligent blend system for product oil in the prior art cannot perform diversified blend treatment on product oil to minimize user loss when raw materials are insufficient, and particularly relates to an intelligent blend system for product oil, which comprises a processor, the processor is in communication connection with an inventory analysis module, a reconciliation processing module, a multi-element processing module, an inventory optimization module and a storage module; the inventory analysis module is used for carrying out inventory analysis on blended component oil of the product oil: generating an analysis period and obtaining a delivery list of the analysis period, and the delivery list comprises the product oil, the blended component oil and a blending period; marking the product oil needing to be delivered in the analysis period as an analysis object; according to the method, inventory analysis can be carried out on the blended component oil of the finished oil product, whether the inventory of the blended component oil meets the requirement or not is judged according to the comparison result, and supplement early warning is carried out in time when the inventory of the blended component oil is unqualified.

A method of analyzing inventory in a diagnostic laboratory system includes capturing images of a plurality of inventory items used in the diagnostic laboratory system, wherein the capturing generates image data; analyzing the image data to identify one or more inventory items; and generating, in response to the analysis, an instruction to cause a printer to print one or more identification tags, wherein each of the one or more identification tags includes identification data identifying one of the one or more inventory items. Other methods and systems are disclosed.

To provide a system which takes into account a schedule and likes and dislikes of a family, grasps a stock status of a refrigerator to suggest a menu with nutrient balance, and which even places an order of food materials.SOLUTION: A system includes a schedule grasping part, a stock analysis part, a menu suggesting part, and an order placing part. The schedule grasping part grasps a schedule and likes and dislikes of a family. The stock analysis part checks a stock status of a refrigerator using photographic analysis on the basis of the grasped information. The menu suggesting part suggests a menu according to a reference for nutrient balance, on the basis of the analysis by the stock analysis part. The order placing part places an order at a net supermarket, based on the suggestion of the menu suggesting part.SELECTED DRAWING: Figure 1

The present invention relates to the technical field of intelligent warehouse management, and specifically to an intelligent warehouse management optimization system based on the Internet of Things, including a data acquisition module, a warehouse hygiene monitoring module, a material quality analysis module, a material inventory analysis module, a display and early warning module and a database. By monitoring and analyzing the sanitary status of each storage area in the warehouse, the safety of the material storage sanitary environment is effectively guaranteed, and a safe and reliable sanitary environment is provided for consumers. By monitoring and analyzing the quality of each material in each type of material in each storage area, the problem of insufficient quality monitoring of materials in the current intelligent warehouse management system is compensated, and potential quality problems are effectively discovered in time, so as to improve stable and safe material quality for consumers. At the same time, by monitoring and analyzing the inventory status of various types of materials corresponding to each storage area, it can help enterprises make correct inventory decisions, improve inventory management and operation efficiency and profit levels.

The invention provides a method model for correcting carbon emission of domestic building materials. The method comprises the following steps: acquiring domestic literatures containing the carbon emission of the building materials; judging whether the accounting boundary for calculating the carbon emission of the building material in the domestic literature is clear or not; if the accounting boundary is not clear, list analysis data used for calculating building material carbon emission in domestic literatures are obtained; inputting the list analysis data into life cycle evaluation software; selecting a preset building material model and an evaluation method in life cycle evaluation software; and running the life cycle evaluation software to obtain the corrected domestic building material carbon emission. According to the scheme, on the basis of domestic literatures, the energy and carbon input and output conditions of all links such as mining, production, transportation, use and processing of building raw materials at the domestic process level are met, carbon emission flows of different links of the whole life cycle can be completely considered by combining with a carbon emission traceability calculation model of LCA, and the energy and carbon input and output conditions of all links of the whole life cycle can be calculated. And thus, the corrected carbon emission of the domestic building materials is more accurate.

AI-Based Dynamic Pricing Computer System Using Market Sentiment and Inventory Analytics

The invention discloses a steel scrap enterprise long-term immobile inventory management system and method, and belongs to the technical field of inventory management. The system comprises a long-term immobile physical inventory calculation subsystem, a long-term in-transit inventory calculation subsystem, a long-term unsettled inventory calculation subsystem, an inventory total calculation subsystem and a report generation subsystem. According to the method, the problems that long-term overstocked inventory is difficult to recognize in time and a multi-dimensional analysis view angle is lacked in traditional inventory management are solved, and a visual long-term fixed inventory analysis report is generated by automatically collecting various inventory data and performing classified calculation according to a preset rule; by establishing a hierarchical authority management system, it is ensured that the molecular companies and the head office achieve collaborative management on the premise of data isolation; the system supports the functions of drilling tracing and reason filling for long-term immobile inventory, helps enterprises to accurately locate the source of inventory backlog, optimizes the inventory structure, improves the inventory turnover efficiency, and provides data support for operation and management decisions.

The invention relates to the technical field of production scheduling, in particular to an intelligent production scheduling plan scheduling collaborative optimization system which comprises a product splitting module, an inventory analysis module, a productivity calculation module and a product marking module. The product splitting module is used for splitting the finished product into minimum manufacturing units; and the inventory analysis module is used for checking the existing material inventory according to each material required by the product and calculating the number of parts required by the target product according to a product demand calculation formula. The product can be split into minimum manufacturing units through the product splitting module, the inventory analysis module, the productivity calculation module and the product marking module; according to the method, the number of the raw materials needed by the minimum manufacturing units is calculated, meanwhile, the minimum manufacturing units can be analyzed, existing inventory is checked, and the materials which cannot be manufactured are marked, so that the production plan of all the parts is clearer, and production scheduling is more efficient.

AI-Based Dynamic Pricing Computer System Using Market Sentiment and Inventory Analytics

The invention provides a railway vehicle maintenance production management system and method, and the system comprises an assembly production line module which is used for dividing a railway vehicle maintenance production line and dynamically adjusting a maintenance production plan; the logistics transportation module is used for carrying out classification, storage, distribution and inventory analysis on installation components required by maintenance and production of the railway vehicle according to the maintenance and production plan, and generating logistics transportation information; and the data acquisition and analysis module is used for acquiring railway vehicle maintenance and production field data in real time based on the logistics transportation information, performing computer-aided analysis on the maintenance and production field data, and generating maintenance result prediction information and maintenance and production management information so as to trigger maintenance and production plan adjustment of the assembly production line module. Through system integration and intelligent management and control, reasonable allocation of maintenance resources is realized, the maintenance efficiency is improved, the operation cost is reduced, and safe and stable operation of the train is guaranteed.

The invention provides an AI content production platform for offline store marketing, and relates to the technical field of store marketing strategies, and the platform can efficiently collect and process future weather data through an environment collection module and a preprocessing module, and generates average environment data and a temperature change rate. The platform can provide reliable weather influence analysis for each marketing cycle, and through the model construction module, the platform uses the deep neural network technology, and based on material components, thickness and fabric density of clothes, an accurate thermal resistance value prediction model is trained, so that recommended clothes are more in line with current environmental conditions, and the performance of the clothes is improved. By combining the inventory analysis module with the object retrieval module, the clothing in the offline store can be quickly retrieved, and the environment matching index of each type of clothing is calculated according to the real-time environment data, so that the clothing most suitable for the current weather condition is screened out for marketing.

According to the invention, the unsalable inventory which should be processed preferentially in the inventory can be mastered. This inventory analysis device is provided with: an inventory index value acquisition unit (12) for acquiring an inventory index value, which is an index value relating to the inventory status of a product; a sales index value acquisition unit (13) that acquires a sales index value, which is an index value relating to the sales status of the product; and an inventory recognition unit 14 that recognizes, as an unsalable inventory, a commodity inventory in which the inventory index value is evaluated to be lower than the inventory threshold value and the sales index value is evaluated to be lower than the sales threshold value. The state of the inventory is identified on the basis of a logical sum of the viewpoint and the viewpoint of whether the sales index value is evaluated to be lower than the sales threshold value, not only on the basis of the viewpoint of whether the inventory index value is evaluated to be lower than the inventory threshold value, but on the basis of the viewpoint of whether the sales index value is evaluated to be lower than the sales threshold value. A merchandise inventory in which both the inventory index value and the sales index value show low evaluation values can be grasped as an unsalable inventory to be processed preferentially in the inventory.

The invention relates to an intelligent management system for a subway carriage selling warehouse based on bidirectional coding, and discloses an intelligent management system for realizing visual display and code scanning purchase of commodity information through a commodity display terminal, and realizing accurate positioning and information tracing through establishing a bidirectional corresponding relation between commodities and warehouse spaces through a warehouse space coding module and a commodity coding module. Replenishment identification, shelf confirmation and inventory synchronization are completed through the code scanning shelf module, inventory analysis and replenishment plan generation are performed through the inventory scheduling module, and unified storage, scheduling and data management are performed through the background operation management module. Therefore, intelligent operation, accurate replenishment and efficient management of the metro carriage selling warehouse are realized. The metro carriage selling warehouse intelligent management system based on bidirectional coding is provided. The system is characterized by comprising a commodity display terminal, a storage space coding module, a commodity coding module, a code scanning and racking module, a passenger query module, an inventory scheduling module and a background operation management module.

1. Name of the product in this design: Graphical User Interface for Inventory Analysis of Electronic Devices. 2. Purpose of this design: To display the sales, inventory percentage and details of each product category in the store. 3. The key design features of this product are its graphical user interface content. 4. The image or photograph that best illustrates the design's key features: the front view. 5. Purpose of the graphical user interface: The main view interface displays the sales and inventory data of each product category and promotional series; clicking on [Ranking] displays the interface change state diagram 1 (displaying the sales and inventory amount ranking, quantity, and percentage information of the product category); clicking on [Bar] displays the interface change state diagram 2 (displaying the sales, inventory, and ranking data of each style under the corresponding product category).

The present application relates to the technical field of inventory management, and particularly relates to an inventory analysis and management optimization method of a smart pharmacy management system, comprising: acquiring a plurality of current orders, a plurality of orders in a historical time range, inventory quantities of various medicines in pharmacies, and locations of the pharmacies; acquiring a delivery cost factor of each pharmacy for each current order according to the inventory quantities of various medicines in the pharmacies and demand quantities of various medicines in the current orders, in combination with distances between each pharmacy and each current order and distances between each current order; acquiring an inventory quantity of each medicine in each pharmacy according to a quantity of orders fulfilled by each pharmacy at each location in the historical time range, and further formulating an in-out warehouse plan for each medicine in each pharmacy in combination with the delivery cost factor of each pharmacy for each current order. The present application analyzes pharmacy locations, inventory and order data, and cooperatively formulates a reasonable in-out warehouse plan for multiple pharmacies to improve medicine supply efficiency.

The invention provides a material inventory analysis method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring a material inventory table from an inventory management system; the material inventory table is used for representing the inventory condition of each material; obtaining a material detection table from a laboratory management system; wherein the time periods corresponding to the material inventory table and the material detection table are the same; the material detection table is used for representing detection information corresponding to each to-be-detected material; extracting target information from a material arrangement table, a material inventory table and a material detection table based on the material information; the material arrangement table comprises the detection duration required by each detection item corresponding to the material and the material demand quantity; and determining the detection emergency degree of each to-be-detected material in the material detection table based on the target information. According to the method and the device, the materials needing emergency detection are automatically identified by combining the material arrangement table, the material inventory table and the material detection table, so that the emergency material identification efficiency is improved, and the risk that a production line stops production due to insufficient material inventory is reduced.

Systems and methods may provide for generating, maintaining, and using an inventory for insurance purposes. An optimized inventory analysis server may use a demographic classification for a given user along with data related to items owned by other users to determine one or more items for recommendation to the given user. Details associated with existing insurance coverage levels may also be used to recommend new insurance products to the user. In addition, the optimized inventory analysis server may determine a depreciated value of each item within an inventory. These values may be used to assess loss and settle an insurance claim for damage to one or more of the items in the inventory. Finally, the optimized inventory analysis server may recommend incentives on products / services sold by third party entities and may further recommend incentives on insurance products for insuring items purchased by a given user.

The invention provides a material inventory analysis method and device, equipment and a medium. The method comprises the steps that the current inventory amount of materials needed by production equipment, the historical demand amount of the production equipment for the materials and the planned warehouse-out amount of the production equipment for the materials in a to-be-analyzed time period are obtained; acquiring a demand adjustment parameter corresponding to the material in the to-be-analyzed time period; at least based on the historical demand quantity and the demand adjustment parameters, calculating the planned demand quantity of the production equipment for the materials in the to-be-analyzed time period; and calculating the material satisfaction rate of the production equipment for the materials in the to-be-analyzed time period at least according to the current stock amount, the planned warehouse-out amount and the planned demand amount of the materials. By adopting the scheme, the accuracy of demand analysis of the production equipment on the materials can be improved, and stock overstock or shortage is avoided, so that the stock cost and the operation cost are reduced.

The invention relates to the technical field of intelligent identification, in particular to a vending cabinet commodity intelligent identification system, which comprises a data acquisition module used for acquiring commodity data, constructing commodity feature vectors, acquiring the commodity data by using a weight sensor and an image sensor according to a time sequence, and acquiring commodity feature vectors according to the acquired commodity data; constructing a commodity feature vector set of the vending cabinet at the current moment through a similarity disturbance processing mode; the commodity state judgment module is used for judging a commodity state based on the constructed commodity feature vector, performing deep analysis on the commodity feature vector through a double-layer analysis mechanism of single feature analysis and joint feature analysis, and judging the commodity state according to a deep analysis result of the commodity feature vector; and the commodity identification module is used for carrying out intelligent analysis on the commodities through an intelligent analysis mechanism according to the judgment result of the commodity state, and the intelligent analysis comprises commodity inventory analysis, sales cabinet commodity display sequence analysis and intelligent replenishment scheme analysis of the commodities.

The present invention relates to the technical field of material management, and specifically to an assembled material management system based on data analysis, wherein the system comprises a project inventory analysis module, a material supply sorting module, an order optimization module, and a market trend analysis module. The present invention adjusts the inventory level according to the material demand assessment through historical data analysis and project demand forecasting, reduces the risk of excess or shortage of materials, improves material utilization and cost efficiency, ensures the timeliness and accuracy of material supply by assessing the supply priority of materials and adjusting the supply sequence, accelerates the assembly speed of building components, optimizes and adjusts the order quantity according to the material consumption rate, prevents material shortages, adjusts the inventory quantity through market trend analysis, makes the material supply more in line with market dynamics, avoids potential losses caused by seasonal changes and price fluctuations, improves resource utilization, and ensures efficient supply of materials.

The invention relates to the field of coal yard management, in particular to a digital coal yard automatic data acquisition system which comprises a bucket wheel machine attitude acquisition module, a bucket wheel machine position acquisition module, a granularity data acquisition module, a data transmission module, a digital map module and an inventory analysis module. The bucket wheel machine attitude acquisition module is used for acquiring bucket wheel machine attitude information in real time, and the information comprises cantilever rotation angle and pitching angle information and synchronous coal unloading belt weigher flow data, records the stacking position and quantity, and transmits the recorded data to the data transmission module. According to the invention, the data in the coal yard is collected in real time, and the data collected in real time is presented in real time through the three-dimensional map, so that workers can visually understand the equipment working parameters and the coal quantity inventory data in the coal yard, accurately carry out inventory checking, analyze the inventory change trend and formulate a reasonable purchase plan and a reasonable sales strategy; the situation of inaccurate data caused by human errors is avoided, and the management efficiency is improved.