112results about How to "Promote technological progress" patented technology

The invention relates to the technical field of electric power system safety early warning, and discloses a fault risk sensing early warning method for a high-low voltage switchgear assembly, and the method carries out the data preprocessing and feature extraction through collecting the state monitoring data, environmental parameters and basic attribute information of a device in historical operation. And based on the feature data sets, constructing a fault risk prediction model to predict the fault risk probability of the equipment in a period of time in the future, obtaining the operation state data and environmental parameters of the equipment in real time, and inputting the prediction model to obtain the fault risk probability. Meanwhile, the equipment is monitored in real time, original monitoring data is cleaned, abnormal values are removed, real-time monitoring data is compared with prediction data, whether the difference exceeds a threshold value or not is judged according to a preset risk threshold value, and risk points are marked. And evaluating the equipment fault risk according to the risk point and the evaluation strategy, and sending a result to related personnel to take prevention measures.

The invention discloses an automatic wafer packaging detection and sorting system, which relates to the field of semiconductor manufacturing and detection, and comprises the following steps: automatically acquiring packaged wafers from packaging equipment and a storehouse by integrating automatic logistics and intelligent scheduling; high-precision camera multispectral detection is combined with AI analysis, and surface defects of the packaged wafer are detected; terahertz imaging and X-ray are combined with an AI technology, the internal structure of a packaged wafer welding spot is detected, and holes, cracks and welding quality defects are recognized; electrical detection is carried out on the packaged wafer through a flexible probe, and intelligent fault positioning is carried out in combination with AI; an extreme temperature change is simulated to carry out a thermal cycle test, and thermal stress is monitored in real time; and an AI optimization temperature curve and atmosphere control are adopted to simulate a multiple reflow soldering process. By integrating an advanced detection technology and an intelligent means, the wafer packaging detection precision and sorting efficiency are improved, meanwhile, the production cost is reduced, and powerful data support is provided for continuous improvement.

The invention discloses a preparation method of an amphiphilic carbon dot, the amphiphilic carbon dot and application of the amphiphilic carbon dot. According to the amphiphilic carbon dots, at least one of phenol, catechol, resorcinol or hydroquinone is used as a first precursor, and at least one of urea, aniline, o-phenylenediamine or 1, 2, 4-triaminobenzene is selected as a second precursor; after mixing and dissolving, reacting for 4-8 hours under the condition of 180-220 DEG C to prepare initial carbon dots; separating and purifying the initial carbon dots in a chromatographic column, collecting a second component, removing the solvent through rotary evaporation, and drying to obtain the amphiphilic carbon dots. The degreasing agent prepared from the obtained amphiphilic carbon dots has strong adsorption capacity, low toxicity and good stability, can effectively remove oil stains, has the characteristic of low foam in the use process, simplifies the cleaning process and improves the efficiency.

The invention relates to the field of aquatic product safety monitoring and early warning, in particular to an aquatic product safety monitoring and early warning system and method, which comprises a data acquisition module, a data transportation module, a data analysis module, a data early warning processing module and an information management module, through real-time acquisition of related data in links of aquatic product production, processing, storage, transportation and the like, water quality parameters, temperature and humidity are analyzed, the safety condition of aquatic products and a potential risk early warning processing module are evaluated, and when a data analysis result shows that potential safety hazards exist or exceed a set standard, early warning signals of different levels are sent out. Therefore, equipment and related personnel can take measures in time. And the information management module effectively manages and stores various data, thereby facilitating query and tracing. And related reports are generated to provide a basis for decision making.

The invention relates to the technical field of coal dressing, and provides a dechlorination jigging device and process for coal dressing, and the dechlorination jigging device and process comprises the following steps: S1, pretreatment: immersing high-chlorine raw coal in water for conveying; s2, jigging separation: the raw coal is subjected to jigging separation, in a frequency period, the rest period accounts for 30%-50% of the whole frequency period, and coal products and gangue are obtained after separation; s3, conveying and dehydration: spraying water is added when the coal product subjected to jigging separation is conveyed, after spraying is completed, the coal product is dehydrated, dechlorination of the coal product is completed, and a dechlorinated coal product is obtained; and S4, desulfurization: carrying out desulfurization treatment on the dechlorinated coal product to obtain a final refined product. By means of the technical scheme, the problem that chlorine elements in raw coal are inconvenient to efficiently remove through a coal dressing process in the prior art is solved.

The invention provides an innovative integrated system which aims at monitoring the workload of medical staff and providing psychological support for patients at the same time. The system collects physiological and behavioral data of medical staff and physiological and psychological state information of a patient in real time through a multi-modal data acquisition technology. And by utilizing an advanced machine learning algorithm, the system can intelligently evaluate the workload of the medical personnel and predict the overwork risk. Meanwhile, according to individual requirements of the patient, the system generates customized psychological support schemes including emotion recognition, psychological education, social support and professional consultation. In addition, the system has the real-time feedback and intervention functions, and it is ensured that medical workers and patients get attention and help in time. The intelligent user interface design improves the user experience, and strict data security and privacy protection measures guarantee the security of user information. According to the design of the system, the efficiency and quality of medical care work are improved, the overwork risk of medical staff is reduced, comprehensive psychological care is provided for patients, the psychological welfare of the patients is enhanced, and overall rehabilitation of the patients is promoted.

The invention discloses a single-cell protein extraction and hydrolysis process. The invention discloses a single-cell protein extraction and hydrolysis process which comprises the following steps: S1, adding a chemical reagent into single-cell protein thalli to lyse cells to obtain a cell lysis solution; s2, adding a protein denaturation reagent into the cell lysis solution, and centrifuging to obtain a protein denaturation precipitate; s3, adding a protein dissolving reagent into the protein denaturation precipitate to obtain a protein solution; and S4, adding enzyme into the protein solution, and carrying out protein hydrolysis to obtain a hydrolysate. The method has a wide application prospect, and is expected to promote technical progress and industrial development in related fields.

The invention belongs to the technical field of electromagnetic interference elimination, and discloses a method and system for processing electromagnetic leakage interference of an electromagnetic vibration table, and the method comprises the steps: starting a signal collection and analysis module, monitoring an electromagnetic signal generated in the operation process of the electromagnetic vibration table in real time, and recognizing an interference frequency range; a proper filter is selected or designed based on the identified frequency range through a filter selection and design module; a filter processing unit is utilized to install filters on necessary power lines and signal lines, and interference suppression measures are executed; the test and optimization module is operated, the filtering effect is evaluated, the configuration of the filter is adjusted according to needs, and the electromagnetic interference suppression effect is optimized; and the monitoring and adjusting module is continuously executed to adapt to the change of an experimental environment, so that long-term effective electromagnetic interference control is ensured. The invention provides a solution which is more accurate, effective and flexible compared with the traditional physical shielding, and is suitable for the occasion of carrying out high-precision vibration test on the magnetic sensitive sample.

The invention relates to the technical field of aluminum-based composite materials, in particular to an intelligent temperature control self-repairing aluminum-based composite material and a preparation method of the intelligent temperature control self-repairing aluminum-based composite material. 5-15 parts of shape memory alloy microwires; 4.3 to 11.8 parts of epoxy resin prepreg containing microcapsules; wherein the epoxy resin prepreg containing microcapsules is composed of the following components: 3-8 parts of epoxy resin; 0.3 to 0.8 part of a curing agent; according to the invention, the advantages of a metal material, a composite material and an intelligent material are ingeniously combined. The aluminum alloy matrix provides excellent specific strength and specific stiffness, the shape memory alloy microwires endow the material with intelligent response capability, and the microcapsule system realizes a chemical repair function.

The invention belongs to but is not limited to the technical field of PCBA defect detection, and discloses a PCBA AI defect detection item demand response method and system, which adopts multi-scale long-range fusion, context information, super-resolution and block detection to improve a target detection algorithm, and performs detection and identification of a tiny target. Identifying the fine granularity of the target by adopting a contextual information and depth feature matching method; 3D point cloud and X-ray perspective are adopted, a multi-sensor fusion detection frame is used, and invisible defect detection is carried out. According to the method, AI technologies such as deep learning are utilized, the detection precision of small defects on the PCBA board is effectively improved, and missing detection and false detection are reduced. The AI technology can automatically identify and learn defect features, and efficiency and accuracy are significantly improved. The AI model can optimize the self algorithm through continuous learning, so that the detection system can adapt to different PCBA boards and production environments, and the universality and flexibility of the detection system are enhanced.

The invention discloses an ultrafast heat switching device and a design method thereof. The ultrafast heat switch device comprises a first polariton layer, a fixed near-field gap and a second polariton layer which are sequentially arranged from top to bottom. According to the design method, an external ultrafast light pulse is utilized to excite a first polariton layer, and mid-infrared transient polaritons are generated. Time-varying coupling occurs between the transient polaritons and polaritons of the second polariton layer, opening or closing of a near-field thermal radiation channel is dynamically controlled, and a thermal switch function is realized. Based on the synergistic effect of heterostructure terminal pairing and transient polaritons, the picosecond-level response speed and the switch ratio exceeding four orders of magnitude are achieved. Under the optimal design, the device can achieve the laser cooling effect on the emitting electrode in a single switching period, and an innovative solution is provided for nanoscale dynamic thermal management.

The invention discloses a high-efficiency low-energy-consumption sludge low-temperature drying system and a control method thereof, relates to the field of heat pump drying, and solves the problem of poor control effect of an existing sludge low-temperature drying system. The data monitoring module is used for respectively acquiring sludge accumulated treatment duration, sludge real-time moisture content, a cavity temperature monitoring coefficient, a pipeline temperature monitoring coefficient, a cavity humidity monitoring coefficient and an environment humidity monitoring coefficient to obtain drying system equipment monitoring data; the first control module is used for analyzing equipment monitoring data of the drying system to perform heat supply control and drying control on the sludge drying system; and the second control module is used for analyzing equipment monitoring data of the drying system to perform dehumidification control and ventilation control on the sludge drying system. The control efficiency and the working efficiency of the sludge drying system can be improved.

The invention discloses an evaluation method for nutrition management of a large language model. The method comprises the following steps: constructing an evaluation data set; submitting problems in the assessment data set to a to-be-assessed large language model; collecting answers of the big language model for the question, and classifying the answers according to the content of the answers; calculating the answer accuracy of the large language model according to the classification; the method relates to the technical field of big language model evaluation, reduces the influence of human factors and improves the objectivity and reliability of an evaluation result by constructing an evaluation data set and setting a clear evaluation standard, covers a plurality of aspects of nutriology, and has the advantages that the evaluation data set is established, the evaluation standard is set, the evaluation accuracy is improved, and the evaluation efficiency is improved. Comprising multiple dimensions of food and nutriology, individual and group nutrition management, public nutrition and nutrition education, diet management and the like, and the comprehensive ability of the large language model in the field of nutriology can be comprehensively evaluated.

The embodiment of the invention provides an AIGC service-based pricing method and related equipment, which are used for determining an efficient prompt pricing algorithm for an AIGC service platform. Comprising the steps of obtaining a generative artificial intelligence (GAI) model set, and determining all GAI sub-models and model prompt information in the GAI model set; obtaining a user prompt set and the prompt ambiguity of each user prompt intention; determining expected utility mapping according to the GAI model set and the user prompt set; according to the expected utility mapping, the model prompt information, all the GAI sub-models and the prompt ambiguity, determining a target GAI model, and determining a target prompt strategy; and determining isomorphic pricing information corresponding to the prompt pricing information under the same prompt ambiguity, thereby determining a target association relationship between the target prompt strategy and prompt cost information under the target GAI model according to the isomorphic pricing information, and determining target pricing information corresponding to the prompt pricing information under different prompt ambiguity according to the target association relationship.

The invention relates to the technical field of batteries, and discloses a battery early warning detection system and method based on a power supply side energy storage system, and the method comprises the steps: obtaining the state data of a battery, and obtaining the electrochemical impedance and thermal diffusion coefficient according to the state data; obtaining a charge state change rate according to the electrochemical impedance; obtaining chemical component data according to the gas release condition; comprehensively evaluating the health condition of the battery according to the thermal diffusion coefficient, the charge state change rate and the chemical component data; and performing early warning according to the comprehensive evaluation result. The health condition of the battery can be monitored in real time, and potential problems can be found in advance, so that sudden faults and safety accidents are avoided. Through accurate analysis of electrochemical impedance, thermal diffusion coefficient and chemical component data, the early warning detection system and method can timely discover tiny change of battery performance, and provide scientific basis for battery maintenance and replacement.

The invention discloses a skin care product anti-aging effect multi-dimensional comprehensive detection system, which comprises an in-vitro cell model experiment module for detecting indexes such as cell activity, proliferation, migration, apoptosis and antioxidant enzyme activity by simulating natural aging and light aging conditions; the content change of skin structure components such as collagen, elastic fibers and laminin is quantitatively analyzed, the DNA damage repair capacity is reflected by measuring the expression quantity of gammaH2AX, epigenetics research is developed, and the methylation state change of a CpG island is monitored; and the tissue engineering and three-dimensional skin model experiment module is used for performing morphological observation, biochemical index detection and skin physiological parameter evaluation under the condition of simulating a real skin environment by utilizing an artificial skin model. The whole process from the in-vitro cell model to the clinical human body test is covered, and the actual efficiency of the skin care product for delaying or improving the skin aging process can be accurately and objectively evaluated through multi-angle and multi-level data integration analysis.

The invention discloses a PVDF emulsion demulsification washing process, and relates to the technical field of polymer modified materials. The process aims at effectively removing the residual additive in the polyvinylidene fluoride emulsion so as to improve the purity and the performance of the final product. The process comprises the following steps: firstly, mixing PVDF emulsion with a pre-prepared nano demulsifier, and conveying the mixture to a condensation tower through a screw pump; in the condensation tower, demulsifying the mixed solution at a set temperature, and mechanically stirring by adopting a frame type stirrer to promote the emulsion to be demulsified and form snowflake-shaped particles; and then, the demulsified material is discharged from the bottom of the condensation tower and enters a washing tower, and the residual auxiliary agent is removed by using deionized water in a countercurrent washing manner. And finally, dehydrating and drying the washed material. The method has the advantages that the demulsification and washing processes are optimized, so that the production efficiency is improved, the resource consumption is reduced, and meanwhile, the high purity and excellent performance of the PVDF product are ensured.

A multivariable optimization design method for improving counter electromotive force of a permanent magnet motor for a flywheel comprises the steps that firstly, after the size structure of the motor is determined, electromagnetic modeling of the motor is completed, and optimization variable parameters and a counter electromotive force optimization target of the motor are defined; calculating the sensitivity of different optimization variable parameters by using a sensitivity hierarchical calculation method; high-sensitivity parameters are selected for further optimization design, and a response surface equation between the optimization variable parameters and the back electromotive force optimization target is sampled, calculated and optimized; and a genetic algorithm is used to solve the optimal design solution of the back electromotive force performance, and when the amplitude of the back electromotive force fundamental wave is maximum and the amplitudes of the third and fifth harmonic voltages are minimum, the back electromotive force performance is the best. The permanent magnet motor for the flywheel is easy to process and high in pertinence, the electric energy quality of the permanent magnet motor for the flywheel can be obviously improved, and the problems of small counter electromotive force and poor electric energy quality in the permanent magnet motor for the flywheel are solved.

The invention relates to the technical field of optical comb wavelength calibration, in particular to a wavelength calibration device and method of an injection type locking optical comb, which can be used for optical comb wavelength calibration of an injection type locking method. According to the femtosecond laser frequency comb, injection type locking is adopted, complex optical and electrical locking needed by a traditional femtosecond laser frequency comb is avoided, and the system structure is greatly simplified. The cost of the system is reduced, and the reliability and the stability of the system are improved. The beat frequency process is realized by using the narrow linewidth laser and the photoelectric detector, and the wavelength change of the mid-infrared light frequency comb can be monitored in real time.

The invention discloses a low-expansion ceramic cookware blank with low water absorption and high thermal shock resistance and a preparation method of a cookware product. The blank is prepared from the following raw materials: 25 to 45 weight percent of fused quartz, 5 to 10 weight percent of potassium feldspar powder, 15 to 25 weight percent of washing mud, 10 to 20 weight percent of knar clay, 8 to 12 weight percent of chlorite, 3 to 7 weight percent of ball clay, 5 to 10 weight percent of microcrystalline glass leftover material and 5 to 10 weight percent of activated aluminum oxide. The ceramic blank is sintered at the temperature of 1240-1260 DEG C. The water absorption rate of the obtained cookware product is 4.5-5.8%, the expansion coefficient alpha (800-20 DEG C) is less than or equal to 1.6 * 10 <-6 > / DEG C, and the thermal shock resistance is that the cookware product does not crack after being cooled by water for five times at the temperature of 460-20 DEG C. Through formula design, the technical problem that in the prior art, a fused quartz formula system is large in water absorption is solved, the prepared ceramic pot product is low in water absorption, thermal shock resistance and other properties are remarkably improved, the use requirements of low-expansion ceramic products such as a heat-resistant pot can be well met, and the requirements for matched use of electric appliances, high-temperature resistance and the like can be met. And the technical progress and application development of the low-expansion ceramic industry can be promoted.

The invention discloses an HIV-1 virus load detection performance evaluation method and system. For each pair of data points (xi, yi) in the data set D, the slope a and the intercept b of a straight line between all possible two points are calculated; the estimated value of the slope a is the median of all the slopes. The estimation of the intercept b is obtained by calculating the residual error of each data point and finding the median of the residual errors; the invention relates to the technical field of virus load detection. According to the invention, through multi-dimensional analysis including correlation, consistency, classification accuracy, chi-square test, Bland-Altman consistency analysis, Kappa coefficient and the like, a comprehensive performance evaluation framework is provided for the virus load detection kit. The comprehensive evaluation is helpful for ensuring that the kit can provide reliable results in various application scenarios. Through strict experimental design and data analysis, possible problems of the kit can be found and corrected in time, so that the detection accuracy and reliability of the kit are improved.

The invention relates to the technical field of railway surveying and mapping, and provides a section anomaly judgment method based on settlement observation, which comprises the following steps: acquiring section surveying and mapping requirements of settlement observation and settlement observation terminal equipment information, matching equipment parameters, performing state detection, then analyzing the surveying and mapping requirements, generating coordinate information of a to-be-observed point, and judging whether the to-be-observed point is abnormal or not. Establishing a database to store related data, utilizing the database and historical data to construct a section settlement observation point prediction model, outputting a settlement prediction result, comparing the settlement prediction result with a preset abnormity reminding threshold value, if the prediction result is abnormal, obtaining real-time settlement observation section data, comparing the real-time settlement observation section data, and optimizing the prediction model until the prediction model accords with an error range. According to the method, automatic reminding and level-to-level management of abnormal settlement or upheaval are achieved, safe operation of railway engineering is achieved, the accuracy of settlement observation data is effectively improved, section abnormal data can be found in advance, and powerful support is provided for maintenance of the railway engineering.

The present invention proposes an intelligent management method and system based on aquatic plant data indicators. It belongs to the field of ecology and environmental science and technology. The method includes: analyzing the ecological relationship between different aquatic plants in the wetland, and constructing an ecological interaction network model based on the analysis results; using a wireless sensor network to collect data of various aquatic plants in the wetland in real time, and unifying data from different sources into a data platform; based on the ecological interaction network model and the data platform, dynamically analyzing the ecological interaction network in the wetland, and formulating an aquatic plant data indicator management strategy based on the results of the network dynamic analysis. Through in-depth analysis of the ecological relationship of aquatic plants and the construction of an interaction network model, key species and ecological relationships can be identified, so that targeted protection measures can be taken to maintain the diversity and stability of the wetland ecosystem and prevent ecological imbalance.

The utility model discloses an internet switch with a fireproof arc breaking function, relates to the technical field of internet switches, and aims to solve the problems that a traditional internet switch has defects in the aspect of electrical safety protection, and particularly, a combustion risk is easy to occur under the condition that a circuit is overheated, so that potential safety hazards are caused. The device comprises a device body, a switch arc breaking mechanism and a fireproof mechanism, the upper end of the device body is provided with the switch arc breaking mechanism, and the lower end of the device body is provided with the fireproof mechanism; a bimetallic strip is arranged in the fireproof mechanism, when the temperature rises, the bimetallic strip is bent to drive the plug-in to move, and the circuit is disconnected; meanwhile, an elastic piece is arranged and used for resetting the plug-in when the bimetallic strip recovers the shape, so that the circuit is reconnected; according to the utility model, automatic disconnection and recovery of the circuit are realized through the thermal deformation characteristic of the bimetallic strip, fire hazards caused by overheating are effectively prevented, the safety and stability of the circuit are improved, and the circuit is suitable for various circuit control places requiring safety protection.

The invention discloses a high-speed vacuum centrifugal concentration drying system and method, and the system comprises a centrifugal unit which is characterized in that a motor drives a centrifugal tube rack to rotate at a rotating speed of at least 1400 rpm, and a sample is fixed in a centrifugal tube through centrifugal force; according to the vacuum system, a vacuum pump is connected to the interior of the centrifugal unit through a vacuum pipeline and used for forming a low-pressure environment in the centrifugal unit and monitoring and adjusting the air pressure in the centrifugal unit in real time through a vacuum control unit; according to the heating unit, a heating piece is tightly attached to the outer surface of an inner container of the centrifugal unit and used for providing heat to make up energy consumed by solvent evaporation, and a temperature control system monitors the temperature of the sample and the heating piece in real time through a temperature sensor and automatically adjusts power output of the heating piece so as to maintain a preset temperature curve. The invention provides an efficient and reliable solution for concentration and drying of samples by comprehensively utilizing high-speed centrifugation, vacuum technology, accurate heating and motor rotating speed control.

The invention discloses a preparation method of super-weather-resistant polyester modified hydantoin epoxy acrylate, which comprises the following steps: reacting pentaerythritol triacrylate, hexahydrophthalic anhydride and cyclohexene oxide serving as main raw materials in the presence of triphenylphosphine serving as a catalyst, p-hydroxyanisole serving as a polymerization inhibitor and hypophosphorous acid serving as an antioxidant to obtain polyester resin containing monocarboxylic acid; and modifying hydantoin epoxy resin by using the prepared polyester resin to obtain the six-functionality polyester modified hydantoin epoxy acrylate. The main body structure of the resin is a saturated six-membered ring structure, a five-membered ring structure and a polyester structure, the phenomena of yellowing, pulverization and the like are not prone to occurring outdoors, and the resin has the outstanding advantages of being high in UV curing efficiency, resistant to abrasion and good in adhesion.

The present application relates to the technical field of aluminum strip electroplating, and particularly relates to a continuous extrusion and electroplating integrated preparation method for aluminum strip. The present application is characterized by the following aspects: a full-process continuous process design is adopted, including continuous extrusion, continuous electroplating pretreatment, continuous electroplating of composite coating, and continuous post-plating treatment; a differentiated process connection scheme is set for 1 series and 6 series aluminum alloy substrates; a nickel functional layer deposition thickness quantitative regulation and control model is adopted, in which a turbulence correction coefficient is introduced; and a copper-nickel composite coating structure, segmented current density control, plating solution temperature matching concentration matching regulation and control technology are adopted. The present application realizes integrated continuous production of aluminum strip forming and surface modification, greatly improves the adhesion, thickness uniformity and corrosion resistance of the coating, and balances the production efficiency and product performance, and can be widely applied to the preparation of conductive aluminum strips in high-end fields such as new energy vehicles.

The utility model discloses an adhesive tape roll edge flaw removal device, which comprises a working table, a conveying belt, a detection device, a cylinder and a cutting device, the conveying belt is arranged on the working table, a first mounting rack and a second mounting rack are arranged on the working table on two sides of the conveying belt, the detection device is fixedly arranged on the first mounting rack, and the cylinder is arranged on the second mounting rack. And an air cylinder is fixedly mounted at the top of the second mounting frame, a clamping sleeve is arranged at the tail end of an air cylinder rod of the air cylinder, and two cutting devices are fixedly mounted on the inner side of the second mounting frame. An adhesive tape roll is sequentially conveyed through the conveying belt to pass through the detecting device and the cutting device, the detecting device detects whether the edge of the adhesive tape roll has flaws or not, when the adhesive tape roll with flaws passes through the cutting device, the clamping sleeve is driven by the air cylinder to press and clamp the adhesive tape roll, and then the cutting device cuts the flawed part of the edge of the adhesive tape roll. In the whole process, flaw detection and flaw removal of the adhesive tape coil are fully automatically completed, and the detection efficiency and the product quality are greatly improved.

The invention relates to a WEEE recycling supply chain inventory optimization method based on evolutionary reinforcement learning, and belongs to the technical field of supply chain management and artificial intelligence. According to the method, a multi-level inventory cooperative control model is constructed, an inventory optimization problem is modeled as a Markov decision process, and an evolution reinforcement learning algorithm is utilized to train an intelligent agent to learn an optimal strategy. Core innovations include design state space capture inventory dynamics, action space processing continuation to discrete decision mapping, and cost-based minimization of reward functions. According to the algorithm, a population evolution mechanism and experience playback optimization are fused, and the learning efficiency and stability are improved through parallel exploration and sample screening. According to the method, the uncertainty of the recovery amount and demand can be effectively dealt with, the inventory cost is reduced, the supply chain robustness and sustainability are enhanced, and a self-adaptive intelligent solution is provided for WEEE management.

The invention provides a novel potato chip production process, and relates to the technical field of potato chip production, through accurate process steps and parameter control, such as PEF treatment to increase toughness and surface flatness of potato chips, crispy skin formation in a drying step, and accurate temperature and time control in an oil bath step, the potato chips present a unique taste, have crispy surfaces, and also have good taste. The high-quality French fries have the advantages that the French fries are high in quality and soft inside, the requirements of consumers on the high-quality French fries are met, a high-pressure spraying and ultrasonic combined cleaning mode, a steam peeling method and automatic slitting, fixation, cooling and drying equipment are adopted, the automation degree of production is improved, manual intervention is reduced, the production efficiency is improved, and the production cost is reduced. And quality fluctuation caused by human factors is reduced, the stability and consistency of product quality are ensured, and resources such as cleaning water, steam, electric power and edible oil are reasonably controlled and optimally utilized in the production process.