12results about How to "Reduce complaint rate" patented technology

The invention provides a parking lot pricing method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining multi-source data related to parking space use in a past preset time period; inputting the multi-source data into a demand prediction model, and predicting a parking space demand prediction vector in a future preset time period; inputting the data containing the price change and the demand change into a price elasticity model to obtain a price elasticity prediction vector in a future preset time period; generating a plurality of candidate prices based on the parking space demand prediction vector and the price elasticity prediction vector; carrying out an online price experiment on the plurality of candidate prices at a flow rate not exceeding a preset proportion; and determining a final parking plan price according to a feedback result of the online price experiment. According to the method and the device, the final parking package price is automatically determined based on the feedback result, automatic pricing decision based on data and a model is realized, and the accuracy of demand prediction and price elasticity estimation is improved.

This invention discloses a multi-category virtual goods intelligent distribution and risk control settlement system and method, relating to the field of virtual goods distribution technology. The system includes a product aggregation access module, a channel management module, a risk control engine module, an order processing module, an intelligent revenue sharing and settlement module, a data storage module, and a visualization management module. The method includes steps such as channel onboarding, order receiving, risk control verification, order distribution, automatic revenue sharing, settlement payment, and log storage. This invention solves the technical problems of existing technologies, such as scattered multi-category integration, slow reconciliation, weak risk control, and easy settlement errors. It achieves aggregated distribution of phone credit / benefits / fuel cards, real-time risk control, and automatic revenue sharing and settlement, improving efficiency, reducing errors, and ensuring fund security. It is applicable to the field of virtual goods distribution platform technology.

The invention relates to an AI-driven rubusoside syrup preparation and milky tea flavor adaptation method, and belongs to the crossing field of artificial intelligence and food processing.The method is driven by AI double engines, specifically, a first engine classifies sweet tea raw materials through a random forest algorithm, extraction parameters are optimized based on a BP neural network and an NSGA-II algorithm, and the extraction parameters are optimized; aI dynamic regulation and control membrane filtration, double-resin chromatography and a double-effect concentration process are utilized to realize stable preparation of highly concentrated syrup with rubusoside extraction rate of greater than or equal to 96%, purity of greater than or equal to 99% and phenol content of less than or equal to 0.05%; and the second engine trains a CNN sensory prediction model by constructing a milk tea and syrup flavor database, inputs milk tea flavor characteristics, rapidly outputs optimal adaptive parameters, and supports AI simulation evaluation and real-time fine adjustment. According to the invention, the standardization and high yield of syrup quality are realized, the milk tea flavor adaptation period is shortened from traditional 15-30 days to within 24 hours, the adaptation success rate reaches 100%, and the taste coordination and production efficiency of the sugar-free milk tea are remarkably improved.

The invention provides a liquid liposome composition which comprises phospholipid, oligosaccharide and water, the weight ratio of the oligosaccharide to the phospholipid is 4: 1-21: 1, and further, the composition further comprises a functional component; further, the composition optionally does not contain or contains a filler. The invention further provides a method for preparing the liquid lipidosome composition, an oral product and application of the liquid lipidosome composition in food and health care products or application of the liquid lipidosome composition in preparation of drugs. The liquid liposome composition disclosed by the invention has the advantages of physical stability, functional component stability and the like.

The application belongs to the technical field of kitchen equipment, and discloses a stove and an ignition control method. The stove comprises an ignition needle, a burner, an auxiliary air outlet member and a valve assembly. The burner is internally provided with a gas mixing cavity. The burner is provided with an ignition hole in communication with the gas mixing cavity. The ignition hole is directed towards the ignition needle. The auxiliary air outlet member is provided with an auxiliary air outlet hole. The auxiliary air outlet hole is directed towards the ignition hole and the ignition needle. The valve assembly is switchably in communication with the gas mixing cavity or the auxiliary air outlet hole to supply fuel gas to the gas mixing cavity or the auxiliary air outlet hole. When the ignition hole is blocked to cause ignition failure, the valve assembly is switched to be in communication with the auxiliary air outlet hole to supply fuel gas to the auxiliary air outlet member. At this time, the ignition needle is started. The flame can be ignited outside the burner. The flame can burn the impurities at the ignition hole to carbonize the impurities at the ignition hole, so as to solve the problem of the blockage of the ignition hole.

The invention discloses an intelligent cabinet timeout management system and method based on scene perception in a shared office scene, invalid appointments are reduced from the source through'station-intelligent cabinet binding ', a dynamic resource release mechanism is combined, the intelligent cabinet resource utilization rate is improved by more than 30%, the zombie cabinet occurrence rate is reduced by 40%, and storage space is prevented from being idle for a long time. The management system comprises a data acquisition module, a reservation association module, a judgment decision module, a reminding interaction module and a resource scheduling module. The management method comprises the following steps: step 1, appointment time triggering and bidirectional interaction reminding; step 2, real-time detection and classification processing of station states; 3, checking a conference scene and judging a reasonable scene; and step 4, temporary storage and blacklist management of invalid overtime articles.

The invention discloses a control method of refrigeration equipment, the refrigeration equipment and a computer readable storage medium, and the control method comprises the steps: after the refrigeration equipment is powered on, obtaining flag bit information of a demonstration mode of the refrigeration equipment, and detecting a Bluetooth beacon signal; controlling the refrigeration equipment to work in a demonstration mode when the flag bit information is in an opening mode and a Bluetooth beacon signal is received; and controlling the refrigeration equipment to work in a normal working mode in response to the situation that the Bluetooth beacon signal is not received or the flag bit information is in a closed mode. Through the mode, whether the refrigeration equipment is in the preset environment or not can be judged through the Bluetooth beacon signal, so that the working mode of the refrigeration equipment is intelligently and accurately controlled, the probability that the refrigeration equipment leaves the preset environment and does not exit the demonstration mode is reduced, and the complaint rate of the refrigeration equipment after sale is reduced.

The application discloses a lithium battery BMS cloud platform firmware upgrade pushing function test and execution method, comprising the following steps: S1, dividing test cases into six dimensions, selecting key parameter combinations from each dimension based on an orthogonal experiment design method, and generating a basic test case set; S2, supplementing boundary cases through boundary value analysis to finally form a complete test set; S3, constructing a test environment, checking the test environment, and initializing test data; S4, test case scheduling, and distributing test tasks by using a load balancing algorithm; S5, controlling the test process through a script, automatically triggering an upgrade instruction, simulating an abnormal scenario, and recording execution results; and S6, identifying abnormal data through big data analysis technology, and generating a test report of each dimension. The application adopts a combination of automatic execution and manual verification, realizes comprehensive testing of the BMS cloud platform firmware upgrade pushing function, and significantly reduces the safety risk of lithium batteries caused by firmware upgrade pushing problems.

The invention discloses a heat supply load change-based heat supply system operation parameter optimization method. The method comprises the following steps of S1, performing panoramic perception and accurate prediction; s2, constructing a digital twinborn model, and generating a parameter operation optimal solution; s3, generating a water supply temperature setting curve and a circulating flow suggestion curve in different periods according to the characteristics of the optimal solution of the output parameters, and adjusting a heating parameter operation mode in combination with a linkage control strategy; s4, performing accurate execution and real-time fine adjustment; s5, performing system evaluation and adaptive evolution; according to the invention, through precise load prediction and digital twinning optimization, energy consumption and operation cost are reduced; the room temperature is stabilized in a comfortable range through a time-sharing partition strategy and real-time fine adjustment, and the complaint rate of users is reduced; frequent actions of equipment are reduced through operation curve smoothing and constraint embedding, and the service life of the equipment is prolonged; a health degree index evaluation and model updating mechanism is utilized to enable the system to adapt to external changes, experience driving is converted into data driving, and the scheduling efficiency is improved.

The invention discloses a linen order receiving system for employees outside hotel guest rooms. The system comprises an intelligent demand perception and analysis module, a dynamic resource scheduling and collaboration module, a full-process visual execution and guidance module, a multi-dimensional quality closed-loop evaluation module and an automatic billing settlement and accounting module. The system automatically senses a linen replacement demand through a fixed robot terminal deployed in a guest room, analyzes a multi-source service request in combination with a natural language processing technology, and generates a structured task work order; an intelligent scheduling algorithm based on multi-objective optimization is utilized, the real-time state of the external employee and inventory data are integrated, and efficient assignment of tasks is achieved; dynamic navigation and standardized operation guidance are provided for external employees, and task progress is tracked in real time; and finally, automatically completing fee accounting, electronic payment and multi-party account division according to a preset rule. According to the invention, automation and intelligentization of the whole linen management process are realized, and hotel operation efficiency, service quality and cost control water are significantly improved.

The invention belongs to the technical field of electric vehicle charging facilities, and particularly relates to a charging station intelligent ordered load management and control device which comprises a load acquisition module, an intelligent ordered controller, a communication module and a charging pile interface adaptation module. The overload risk is avoided in advance, passive tripping protection is replaced, safety accidents are avoided, and the service life of the box transformer substation and the charging pile is prolonged by 15-20%; a dynamic power distribution algorithm adapts to load changes, the average utilization rate of the charging pile is improved by 30-40%, power supply resource waste is avoided, user experience is optimized, a priority strategy guarantees important user requirements, charging continuity is ensured through active adjustment, the user complaint rate is reduced by 60% or above, operation cost is reduced, full-process automatic management and control is achieved, and 80% of manual monitoring cost is reduced. Equipment maintenance cost is reduced by 25-30%, compatibility is high, the equipment can be directly connected with existing station equipment, large-scale transformation is not needed, deployment cost is low, and generalization performance is high.