265 results about "Cost savings" patented technology

The invention, which relates to the warehouse management field, discloses an intelligent WMS system with an intelligent scheduling function, comprising a cargo sensing module, a data processing and analysis module, a scheduling decision module, a decision optimization module, and an execution control module. And the multi-agent scheduling module is used for defining each independent operation task in the warehouse as an agent, modeling the warehouse environment, and setting a reward function for each agent for guiding the agent to make an optimal decision. According to the intelligent WMS system with the intelligent scheduling function, the task completion time, the resource utilization rate, the cost saving and the service quality can be comprehensively considered through the set reward function, an intelligent agent can be guided to make an optimal decision, the accuracy and efficiency of future decision making can be improved through learning, and the intelligent WMS system has good application prospects. Therefore, the intelligent agent can gradually master the optimal scheduling strategy in different environments, and maximization of the overall warehouse operation efficiency is realized.

The present invention relates to the field of intelligent agricultural technology, specifically a remote control system and control method based on a digital twin pig farm, the system includes a behavior monitoring and identification module, a behavior association analysis module, a growth rate analysis module, a digital model construction module, an environmental condition adjustment module, and a pig farm epidemic prevention management module. In the present invention, by real-time monitoring and analyzing the behavior of multiple pigs in a pig farm, combining environmental condition data, analyzing the impact of environmental conditions on pig behavior, achieving targeted environmental adjustment, real-time recording of pig weight and combining environmental data to analyze growth trends, making weight change predictions more accurate, building a digital twin model and simulating the operating status of a pig farm, providing a simulation platform for the adjustment of management measures, enhancing the transparency of pig farm operations and improving the accuracy of decision-making, reducing resource waste and increasing production, optimizing production processes, and achieving cost savings and sustainable development.

Aspects of the disclosure may relate to a system and method for increasing the cost savings and / or reducing amount of money spent by a client based on the charging and discharging of energy storage device(s) using a two-tier process. The first tier may include finding a storage operational mode or policy by optimizing an objective function, according to which the battery of the energy storage device(s) may be managed in a given timestep (e.g., the next 5 minutes). The second tier may include controlling the charging or discharging of the battery according to the previously determined policy.

The present application discloses a treatment agent delivery device and a washing device. The treatment agent delivery device comprises: a first chamber, the first chamber having a water inlet; a rotating mechanism, arranged in the first chamber, for rotating under the action of the water flow introduced by the water inlet; a delivery mechanism, connected to the rotating mechanism, for delivering the treatment agent under the drive of the rotating mechanism; wherein the water inlet is located above the rotating mechanism. In the embodiment of the present application, the rotating mechanism can rotate under the action of the kinetic energy and potential energy of the water flow entering the water inlet, so as to control the delivery mechanism driven by the rotating mechanism to deliver the treatment agent, so that the water flow can be used as a power source to achieve automatic delivery of the treatment agent, which is beneficial to cost saving, and because the kinetic energy and potential energy of the water flow are fully utilized, the energy conversion efficiency of the rotating mechanism is high, which is beneficial to widening the working range of the water pressure.

The invention discloses a multi-cloud management platform with a comprehensive financial management function, and relates to the technical field of cloud services, and the multi-cloud management platform comprises a data integration unit, a cost management unit, a budget control unit, a bill processing unit, a security and compliance unit, a user interaction unit and a monitoring and alarm unit. Through the data integration unit, financial data from different cloud platforms can be effectively acquired and integrated, through the cost management unit, financial characteristic data can be deeply analyzed, a cost structure can be better understood, and a cost saving opportunity can be found, so that strategy or budget allocation can be timely adjusted to cope with changing demands and market conditions, and the economic benefit is improved. And meanwhile, the real-time monitoring of the use condition and the cost change of the cloud platform is realized.

The invention relates to the technical field of concrete prefabrication processing equipment, and particularly discloses a concrete prefabricated part processing and forming device which comprises a conveying table body, a discharging structure, a putting structure and a forming structure. A conveying belt is arranged in the middle of the upper wall of the conveying table body, the discharging structure is fixedly arranged on the rear side of the right end of the conveying table body, the putting structure is fixedly arranged on the rear side of the conveying table body and located on the left side of the discharging structure, and the forming structure is arranged on the conveying table body. The production line has the advantages of automation, flexibility, mold management, product quality improvement, labor intensity reduction, cost saving and the like, and an efficient and reliable production mode is provided for prefabrication production of road edge stone bricks.

The utility model discloses a casting device for embedded parts, including a sand box and a mold, a mold is arranged in the sand box, anti-crack ribs are arranged at the fillet of the outer side of the mold, a full circle of subsidies are arranged around the inner hole of the mold, a first outer chiller is arranged at the bottom and around the bottom of the mold, and a second outer chiller is arranged around the outside of the mold. The utility model changes the inner hole structure of the mold, arranges a full circle of subsidies, and cooperates with the use of outer chillers, which greatly reduces the workload of the finishing process; by arranging anti-crack ribs at the fillet of the outer side of the mold, the problem of cracks in the L-shaped fillet during casting is avoided, the quality of the casting is improved, the construction period is shortened, and the cost is saved.

Disclosed herein are a method and apparatus for optimizing designs of product packaging units. A method based on one aspect of the present disclosure comprises: for each product having a corresponding order quantity among a plurality of products, using an integer programming model to determine the capacity of each level of packaging unit among one or more levels of packaging units above a basic packaging unit of the product, wherein the integer programming model uses minimizing the logistics-related costs of the product having the corresponding order quantity as its objective function; for each clustering scheme among a plurality of clustering schemes applied to the plurality of products, calculating the total logistics-related cost savings compared with a situation where the clustering scheme is not applied, wherein each clustering scheme corresponds to a different number of clusters and is used for dividing the plurality of products into the corresponding number of clusters on the basis of the sizes of the basic packaging units of the plurality of products; and on the basis of the clustering scheme having the maximum total logistics-related cost savings among the plurality of clustering schemes, determining an optimal packaging unit design.

The utility model discloses a cold chain transportation container which comprises a tray, a fork tooth channel, a fork tooth groove and a fork tooth groove. The box body is of a cylindrical structure formed by connecting a plurality of baffles end to end in a surrounding mode, the upper end and the lower end of the box body are open, the box body is supported on the tray, and the bottom of the box body is detachably connected with the tray; and the box cover is separably plugged at the top opening of the box body. The cold chain transportation container comprises the tray, the box body and the box cover, and the three parts can be separated and can be stored respectively, so that the occupied space during storage and transfer can be reduced. And when part of the structure is damaged, only the part of the structure needs to be replaced, the whole structure does not need to be discarded, and environmental protection and cost saving are facilitated. The fork tooth channel is formed in one side face of the tray, and fork teeth of a forklift can be inserted into the fork tooth channel so that the forklift can transfer the cold chain transportation container together with goods in the container, and time and labor are saved.

The invention provides a low-carbon cold chain distribution network comprehensive optimization design method based on a hybrid motorcade, and the method comprises the steps: making a low-carbon cold chain distribution network optimization design framework from the perspective of global optimization, and achieving the comprehensive design scheme of the hybrid motorcade, a distribution route, a distribution center, a charging plan and customer service time. Diversified replacement requirements of current cold-chain logistics enterprises are met; under the mutual coordination effect of carbon emission reduction policies (including battery technology, carbon quota, carbon tax, subsidy incentive and the like), from the economic perspective of cost saving of logistics enterprises and the service perspective of customer satisfaction improvement, the carbon emission of vehicles and the carbon emission of refrigeration equipment are considered at the same time; a low-carbon cold-chain distribution network comprehensive optimization model with the minimum total operation cost as the design target is provided, and by accurately analyzing the influence of implementation of all strategies on cold-chain distribution network optimization, the steps of emission reduction, consumption reduction and low-carbon transformation of the cold-chain logistics industry are accelerated.

The invention relates to a food safety intelligent scale with infrared short waves and millimeter waves and an operation mode. An infrared short wave device and a millimeter wave device are used for achieving nondestructive testing on food ingredients, freshness and safety. When the scale is used in a food acceptance check link, the scale not only can accurately record the weight, quantity and image information of food, but also can detect the maturity of vegetables and fruits, whether the interior of the food is rotted or not and the pesticide residue condition on the surface. The system is wide in application scene and suitable for various occasions such as school canteens, enterprise and public institution canteens, government agency canteens, social catering canteens, central kitchens and food supply chain enterprises. Through detailed data analysis of the vegetable food consumption, a using unit not only can better monitor fund expenditure, but also can optimize a purchase plan, improve the efficiency of a supply chain and adjust an internal consumption mode, and finally achieves the goals of cost saving and reasonable resource allocation.

The utility model relates to the field of hardware tools, in particular to novel nozzle pliers, a pliers head is provided with a pliers blade, a pliers body comprises a pliers handle, a hinging part and an L-shaped connecting part, and the pliers handle, the hinging part and the L-shaped connecting part are integrally formed. The pin shaft penetrates through the two hinging parts, and the two clamp bodies are movably connected through the pin shaft of the hinging parts; a dovetail groove is formed in the vertical face of the L-shaped connecting part, a dovetail protrusion matched with the dovetail groove is arranged on the side face of the tail of the plier head, and the L-shaped connecting part and the plier head are connected in a clamped mode through the dovetail groove and the dovetail protrusion. The tail portion of the tong head is provided with a segmental protruding block, a notch is formed in the outer side of the segmental protruding block, a tong head check block is plugged in the notch, namely, the tong head check block is arranged on the outer side of the segmental protruding block, and the bottom of the outer side of the tong head check block is firmly welded to the L-shaped connecting part. A groove is formed in the horizontal plane of the L-shaped connecting part, and the segmental protruding block and the tong head check block are both arranged in the groove. The utility model has the advantages of easy replacement, cost saving, convenient use, sturdiness and durability and the like.

Approaches for managing utility bills and optimizing utility consumption in industrial environments are described. A utility bill resolution system automates extraction, parsing, analysis, and resolution of utility bills from utility providers. The system detects anomalies within bills using machine learning models and verifies bill authenticity using real-time consumption data. A utility consumption optimization system analyzes historical consumption data and utility rate information to generate optimized operation schedules for utility-intensive equipment and processes. The optimization system considers time-of-day pricing structures and implements peak shaving strategies to reduce costs. Both systems leverage advanced technologies including optical character recognition, natural language processing, and Internet of Things (IoT) devices to enhance accuracy and efficiency. The integrated approach enables industrial consumers to ensure billing accuracy, proactively optimize utility consumption patterns, and achieve significant cost savings while improving operational efficiency across multiple utility consumption sites.

A heating, ventilation, and air conditioning (HVAC) fault prediction system for a building including a processing circuit including a processor and memory, the memory having instructions stored thereon that, when executed by the processor, cause the processing circuit to receive HVAC data relating to a plurality of HVAC components, the HVAC data indicating performance of the plurality of HVAC components, generate, based on the received HVAC data, a univariate prediction model and a multivariate prediction model, generate, using the received HVAC data, one or more predicted operational parameters for the plurality of HVAC components corresponding to a future time period, and execute at least one of the univariate prediction model or the multivariate prediction model on the one or more predicted operational parameters to predict a HVAC fault associated with at least one of the plurality of HVAC components to occur during the future time period.

The invention relates to the technical field of terminal assembling, and particularly discloses an automobile terminal assembling device which comprises a rack and two trays installed on the rack, an outer terminal is stored in one tray, an inner terminal is stored in the other tray, a steering gear body is installed on the rack through a conveying frame, a clamping head is installed on a servo mechanism, and the clamping head is connected with the steering gear body. A trigger clamping unit used for clamping an inner terminal is installed in the clamping head, a plurality of fastening blocks are connected in the clamping head in a sliding mode, and the trigger clamping unit is in transmission connection with the fastening blocks. According to the clamping head, the inner terminal and the outer terminal can be assembled according to different sizes of the inner terminal and the outer terminal, at the moment, the inner terminal and the outer terminal do not need to be respectively driven to be fed by using two pieces of equipment, and the inner terminal and the outer terminal are fed on one piece of equipment; the working efficiency is greatly improved, meanwhile, the occupied area can be reduced, meanwhile, the requirement for saving the cost can be met, and the device is suitable for later use and popularization.

Systems and methods for active vaporization of moisture in a Thermoelectric Module (TEM) or subsystem are provided. In some embodiments, a method of method of operating a TEM includes: determining to initiate a drying cycle for the TEM; and activating the drying cycle for the TEM. In this way, moisture can be removed from the TEM. This can increase the efficiency and / or longevity of the TEM. This can lead to decreased maintenance times and cost savings.

The invention discloses an attitude control method and device, an electric suspension system, a vehicle and a computer readable storage medium. The attitude control method is applied to the electric suspension system, the electric suspension system comprises a control bus and an actuator, and the attitude control method comprises the steps that bus data collected through the control bus is acquired; and determining a target actuation force of the actuator based on the bus data to output a suspension control signal. Therefore, no additional sensor needs to be arranged, the advantages of being small in lag and high in control precision are achieved, and cost saving is facilitated.

Artificial intelligence and machine learning models are used to make concrete-related predictions. Many permutations of concrete mixtures are generated. Machine learning algorithms are used to evaluate and recommend a generated concrete mixture based on a set of specifications. The generated concrete mixture can be sent to a plant for production. The actual concrete mixture that was used to manufacture the concrete product can be received from the manufacturer. An amount of emission reductions and / or cost savings can be determined from the actual as-batched concrete mixture and an associated reference concrete mixture. The real-world data are used to train the machine learning models.

The invention discloses a pump set model selection method based on actual working condition delay simulation and a storage medium, and the model selection method takes actual operation historical boundary data of a pump room to be transformed as a basis of pump set design, and breaks away from a traditional single working condition design situation, so that the selected pump set is closer to an actual operation working condition. And the optimal frequency combination meeting the working conditions and the corresponding operation power serve as the calculation basis of future operation of the pump set, the expected saving cost is calculated through long-time-period simulation, and the appropriate water pump model number combination is selected. Compared with the existing technical scheme, the model selection method provided by the scheme not only can meet the standard design requirement, but also ensures that the pump set operates as efficiently as possible under the daily condition.

The application discloses a kind of drum washing machine clothes eccentricity detection methods, comprising the following steps: obtaining real-time eccentric load value, and obtaining total load value;According to the size of drum, set balanced load quality;Eccentric load value, total load value and balanced load quality value are input into clothes eccentricity prediction model, and eccentric mass is calculated;Wherein, the training method of the clothes eccentricity prediction model includes: by simulating drum experiment, change drum balanced load quality and eccentric mass, obtain corresponding multiple sets of eccentric load value and total load value;Balanced load quality, eccentric load value and total load value are used as BP neural network input layer, and eccentric mass is used as BP neural network output layer, and the data of input and output are trained.The drum washing machine clothes eccentricity detection method provided by the application can realize cost saving and simplification of detection method steps while ensuring accuracy.

The utility model discloses an electric connector, an insulating body is provided with an accommodating groove along the front and back direction in a penetrating manner, a blocking surface is arranged in the accommodating groove, an elastic blocking part integrally extends backwards at an opening at the rear end of the accommodating groove, a signal conductive component comprises a signal butt joint part, a limiting part and a signal tail part, and a retaining part is arranged on one side of the signal butt joint part. The retaining part is blocked by the blocking face and moves backwards to form a first blocking structure, the limiting part is blocked by the elastic blocking part and moves backwards to form a second blocking structure, the second blocking structure makes up for the defect of insufficient holding force of the first blocking structure on the signal conductive component, and the first blocking structure and the second blocking structure jointly prevent the signal conductive component from moving backwards. Therefore, enough holding force is ensured, deformation and damage of the retaining part due to insufficient holding force of the first blocking structure are avoided, large assembly errors are avoided, the position accuracy of the signal conductive component is improved, the assembly process is simplified, and material and labor cost is saved on the premise that the signal conductive component is reliably and stably kept on the insulating body.

The utility model belongs to the technical field of ventilation fan, provide a transmission, fan blade subassembly and plate type fan, transmission among them includes driven wheel and assembly piece, the assembly piece is connected in one side of driven wheel, the blade of fan can be fixedly connected on the assembly piece to make the blade of fan and driven wheel form a rotation whole, driven wheel and fan's drive source transmission connection, driven wheel rotation is connected on fan support, the utility model transmission can form a whole component with the blade of fan, thereby can simplify the structure and installation procedure of transmission mechanism, be favorable to the cost saving.

This invention relates to a fixture for rapid positioning of a mobile phone frame, comprising a fixed base plate. One side of the fixed base plate has a placement groove for placing the product. A first PIN is connected to one side of the placement groove, and a second PIN is connected to the placement groove adjacent to the first PIN. A Y-axis pressing assembly for rapid Y-axis pressing of the product and an X-axis pressing assembly for rapid X-axis pressing of the product are connected to the fixed base plate. A slider is connected to the bottom of the fixed base plate, and a linear guide rail is slidably connected to the slider. A connecting rod is connected to the linear guide rail and slides synchronously thereon. The Y-axis pressing assembly and the X-axis pressing assembly are synchronously connected to the connecting rod via their respective connecting rods. An automatic pressing assembly is connected between the fixed base plate and the connecting rod. This invention can effectively improve production efficiency and achieve cost savings.

The utility model relates to the technical field of crushing equipment, in particular to a superfine sand fine sand making machine. The superfine sand fine sand making machine comprises a main shaft, a disc connecting piece, a connecting pin shaft, a machine shell and a hammer head structure. The main shaft is vertically arranged, the disc connecting piece and the main shaft are coaxial, a feeding port is formed in the top end of the machine shell, and a discharging port is formed in the bottom end of the machine shell. The length of the hammer head structure is adjustable, and the hammer head structure is connected with the main shaft through a disc connecting piece. When the hammer head structure is abraded, the length of the hammer head structure is adjusted so as to adjust the gap between the hammer head structure and the machine shell. Therefore, the gap between the hammer head structure and the machine shell is within the set range, the crushing efficiency of the superfine sand fine sand making machine is guaranteed, the utilization rate of the hammer head structure is improved, and material saving and cost saving are achieved.

The invention belongs to the technical field of modular buildings, and particularly relates to a concrete module and a production and assembly method. A first shear wall and a second shear wall in the module are wall bodies in the concrete module; the first shear wall and the second shear wall form a first joint through concrete pouring; the first top plate is connected with the first shear wall and the second shear wall through a first formwork arranged on the first shear wall and a second formwork arranged on the second shear wall correspondingly, and the first top plate is connected with the first formwork and the second formwork in a composite mode to form a second joint. And the first bottom pocket and the first shear wall are compositely connected to form a third joint. According to the method, all prefabricated parts are prefabricated and produced independently, then are assembled according to the assembling sequence of the first bottom pocket, the first shear wall, the second shear wall and the first top plate, and are assembled into the concrete module in a connecting mode of concrete pouring or welding or welding and slurry sealing, so that the cost is saved, the production efficiency is improved, and the quality of the module is improved.

The invention discloses a periodic power consumption mode optimization method based on an encryption technology and a K-Medoids algorithm, and relates to the technical field of intelligent power grids, and the method comprises the steps: obtaining the historical load data of periodic power consumption of a consumer and a cost saving rate expected value; selecting and updating each evaluation factor based on the historical load data of different periods, and iteratively distributing the historical load data of each period of non-evaluation factors to the evaluation factor class with the highest similarity level, so as to determine each optimal evaluation factor and obtain the corresponding power consumption mode of each optimal period; and obtaining each power consumption cost saving rate of each optimal period power consumption mode compared with the recent period power consumption, determining the power consumption cost saving rate closest to the cost saving rate expected value, and determining the corresponding optimal period power consumption mode as the expected periodic power consumption mode. According to the invention, it is ensured that the power consumption cost saving rate reaches the expectation, the periodic power consumption mode with the minimum total power consumption cost is found, and the encryption technology is used to guarantee the communication security.

An apparatus and method for brewing coffee of high quality and better taste while also enabling users to utilize less coffee grounds per brewing cycle, thereby achieving significant cost savings. A basket that houses a packet of coffee grounds is housed within a carafe that stores water. The basket is fabricated so that water may enter therein and exit therefrom, and the packet of coffee grounds enables water and natural coffee oils to penetrate the packet, but does not allow coffee grounds to escape the packet. The carafe is filled with water that is gradually heated from at or around tap temperature to approximately boiling. While the water in the chamber is heated, the basket is agitated. This causes the gradually heating water to enter the basket and agitate the packet, thereby extracting natural coffee oil from the grounds stored within the packet, which creates brewed coffee.

The invention relates to the technical field of production management, in particular to a machine manufacturing off-peak production and effect evaluation method and system based on production parameter fusion, and the method comprises the steps: collecting equipment power consumption data, production parameters, order information and time-of-use electricity price in real time, and constructing a production-power consumption multi-dimensional data set; inputting a data sequence related to scheduled future tasks in the data set into a pre-trained prediction model, and outputting a time-phased electric quantity demand prediction result; aiming at reducing the power consumption cost and guaranteeing the order delivery, generating a peak shifting strategy through a multi-objective optimization algorithm introducing the continuous operation duration of the equipment based on a prediction result; integrating the strategy into a production management and equipment control system to realize closed-loop cooperative control; the strategy effect is quantitatively evaluated based on evaluation indexes including the equipment life loss rate, and the comprehensive benefits of the strategy in the aspects of cost saving, delivery guaranteeing and loss reduction are comprehensively reflected. The problem of separation of a production system and a power utilization system is solved.