90results about How to "Give full play to the value" patented technology

The invention discloses a field-oriented personalized intelligent recommendation system and an implementation method. Aiming at the defect of poor universality of the traditional recommendation manner, a reasonable data organization mode is adopted, so that the recommendation service has a cross-field property, and field conversion can be realized by configuring field information according to the characteristics of different fields; aiming at the problem of data sparseness caused by single user information acquisition source and low quantity in the traditional recommendation manner, a context perception technology for actively acquiring context information of interactive behaviors of a user and the system is introduced, so that the quantity of the acquired user information is greatly increased, and the time distribution of the acquired user information is more reasonable; the acquisition of the user information is directly related with the interactive behaviors of the user and the system; the system can acquire the current condition of the user in real time, so that the recommendation service can dynamically reflect the change condition of user demand; and the recommendation service quality is improved through a recommendation learning model by continuously using the reflection of the user on the recommendation result.

The invention discloses a nuclear power design data integration method and system, and aims to comprehensively utilize nuclear power design data dispersed in service systems and bring the value of the nuclear power design data of the service systems into full play. The method comprises the following steps: S1, extracting respective nuclear power design data of the service systems from the service systems; S2, processing the nuclear power design data of different data models from different service systems according to an entity-relationship model to obtain nuclear power design data with a uniform data model; S3, storing the nuclear power design data with the uniform data model; and S4, providing the stored nuclear power design data for an upper-layer application.

The invention relates to a molybdenum-containing semi-conductor photocatalysis material responding to visible light, wherein a molecular formula of the material is M2M1FeMoO6. In the formula, M1 is equal to Li, Na, K, Rb or Cs; and M2 is equal to Be, Mg, Ca, Sr or Ba. A preparation method for the material comprises the following steps that: an M1-containing compound, an M2-containing compound, an Fe-containing compound and an Mo-containing compound are placed into a mortar according to the mol ratio that the M1 to Fe to the M2 to Mo is 1: 1: 1: 1, and are ground and mixed evenly; and the mixture is subjected to presintering treatment the temperature is increased to be between 800 and 1,200 DEG C, and the mixture is at a constant temperature for 1 to 160 hours to obtain the molybdenum-containing semi-conductor photocatalysis material responding to the visible light. The material has low energy band gap, has good absorption under the irradiation of the visible light, and can be used for performing full spectrum absorption on solar light, or is used for removing harmful substances in the air and sterilizing under the irradiation of the visible light, or is used as a photoelectric conversion material, or is used for producing hydrogen and oxygen by performing photocatalytic analysis on water, or is used for removing organic substances which are harmful to people in sewage by the degradation. The material has the advantages of low synthesis cost, and simple and easy method.

The invention discloses a business opportunity mining method based on an enterprise portrait, and the method comprises the steps: obtaining structured, semi-structured and unstructured mass data through Internet data and enterprise basic data, carrying out the preprocessing of the data, and forming an enterprise service data center on the basis of the data; dynamically matching deduplication and user basic information through a system to form a unique ID of the whole network of the user; integrating and cleaning the data of each dimension of the enterprise, and binding the data with the uniqueID of the enterprise to form a portrait system; carrying out model training through multi-dimensional enterprise portraits and enterprise historical order data, and improving the user conversion rateand the repurchase rate; enabling different portraits to correspond to different recommendation rules, pushing proper products to enterprises in time, and pushing business opportunities to matched business personnel through an intelligent matching algorithm; obtaining sales feedback data in time through buried points, and building a business opportunity mining evaluation model; and performing secondary optimization on the business opportunity mining model in combination with results of machine learning and business personnel feedback information.

The invention discloses a vehicle trajectory prediction method and system based on video vehicle passing data. The method comprises the following steps: collecting vehicle passing data, and extractingeffective field information in the vehicle passing data; constructing a basic road network; sorting the vehicle passing data according to the sampling time to form a total travel chain of each vehicle in the sampling time period; extracting two adjacent sample sequences in turn, calculating the travel time of the vehicle passing through two adjacent intersections according to the sample sequences, judging that the two adjacent intersections are travel chain segmentation points, and segmenting the total travel chain into a series of sub-travel chains according to the travel chain segmentationpoints; calculating the steering state probability of each vehicle at each intersection according to the sub-travel chain to obtain a steering probability matrix; determining that the intersection corresponding to the maximum steering probability in the steering probability matrix is the intersection to be reached by the vehicle driving trajectory prediction. The invention avoids the shortcomingsof relying on continuous positioning data, so as to realize the travel behavior characteristic analysis of any vehicle.

The invention discloses a method for removing sulfur dioxide in smoke by using white mud, which uses the white mud plasma as desulfurization solution, and implements the two-stage absorption desulfurization to the sulfur dioxide in smoke and then dissipates fog and discharges the smoke. The desulfurization solution absorbed in the first stage is collected at a low position, and is stored for recycling thereby forming a low position cycle, and the desulfurization solution absorbed in the second stage is collected at a high position, and is stored for recycling thereby forming a high position cycle; the desulfurization solution stored in the high position cycle overflows to the low position cycle, and the desulfurization gypsum generated in the low position cycle is pumped out for cyclone separation, top-flowing thin gypsum plasma refluxes to the high position cycle, and the bottom thick gypsum plasma is treated for deslagging. The invention also discloses a device for realizing the method. The inventive method and device has reasonable design and can effectively improve desulfurization efficiency.

The invention discloses a recycled micro powder activation method, which comprises the following steps of crushing construction waste into particles being 25 to 40mm; then, putting the particles under the conditions of 200 to 500 DEG C for calcination for 1 to 4h; then, performing ball milling for 2 to 5h; performing sieving to obtain construction waste powder being 30 mum to 80 mum; putting the construction waste powder at 600 to 700 DEG C to perform calcination for 2 to 4h; raising the temperature to 0.5h to 1.5h to 800 to 1000 DEG C; performing heat insulation for 1 to 3h; then, after 0.5 to 1.5h, lowering the temperature to room temperature; then, sufficiently and uniformly mixing the recycled micro powder and an excitant with the weight percentage being 0.1 to 2..2 percent to obtain the activated recycled micro powder. The activation method provided by the invention has the characteristics that the activation effect is good; the operation of the activation method is simple; the environment is protected. Compared with ordinary concrete, the recycled micro powder concrete prepared from the recycled micro powder treated by the method provided by the invention has the advantage that the pressure resistant intensity and the work performance are obviously improved.

The invention discloses a big data precision marketing system and equipment with privacy protection and a processing device. An original data server sends an encrypted identity identifier obtaining request to an identity identifier encryption/decryption server, and the identity identifier encryption/decryption server returns encrypted identity identifier information after receiving the request; the original data server replaces a user identity identifier in original data by the encrypted identity identifier information and sends the encrypted identity identifier information to a big data processing server, after the big data processing server analyzes the data, the big data processing server carries out portrait analysis on each user, making corresponding labels for the users, sending encrypted identity identifiers and label information of the users to a big data label server, and the big data label server stores the encrypted identity identifiers of the users and the label informationcorresponding to the users into a database to wait calling. According to the system and equipment and the processing device, the user privacies in big data application processes are protected, and marketing customers are enabled to initiatively screen target users in the big data precision marketing processes.

The invention discloses a florists chrysould likehemum iced tea. The florists chrysould likehemum iced tea is characterized in that the florists chrysould likehemum iced tea is formed by the following materials: by weight, 1-2 parts of chrysanthemum, 1-2 parts of boat-fruited sterculia seed, 1-2 parts of momordica grosvenori, 1-2 parts of lotus seed, 2-3 parts of wolfberry, 1-2 parts of hawthorn, 1-2 parts of rock candy, 3-4 parts of corn, 5-8 parts of coarse rice, 1-2 parts of milk powder, 1-2 parts of calendula, 1-2 parts of cushaw flower, 1-2 parts of pitaya flower, 1-2 parts of lily flower and 1-2 parts of trichosanthes kirilowii leaf. The florists chrysould likehemum iced tea is similar to tea with milk, is an instant drink, possesses rick nutrient elements and possesses health-care elements. Due to the fact that the hawthorn can help digest and invigorate the stomach, the wolfberry can reinforce yang-qi, the lotus seed can reduce blood pressure and the boat-fruited sterculia seed can clear throat fire, the florists chrysould likehemum iced tea can beneficially improve sub-health state of an urban white collar, increases human body immunity, reduces blood sugar and blood fat, benefits human health and prolongs life of a user who drinks the florists chrysould likehemum iced tea in a long time.

The invention relates to the technical field of the smart home, and provides a control method of an intelligent wardrobe open platform of the Internet of Things on the basis of big data. The control method comprises the following steps of a cloud server side obtains clothes information stored in the intelligent wardrobe and service contents provided by a service provider; the cloud server side obtains the demand information of a user according to the clothes information; the cloud server side searches the service contents corresponding to the demand information from the service contents according to the demand information; a cloud server sends the service contents corresponding to the demand information to the intelligent wardrobe, data stored in the intelligent wardrobe and the cloud server side are synchronized, the data of the user is mined and analyzed and interacts with a third-party cooperation channel, service provided by the third-party cooperation channel is integrated to the cloud server side to cause the user to select the service contents provided by the service provider according to own demands, the service of the service provider more fits in with the user, more service contents are accessed through the open platform, and the values of the intelligent wardrobe and the cloud server side can be fully performed.

The invention provides a catalytic combustion heat recovery system which comprises a heat source system, an air purifying and discharging system, a workpiece baking system, a heat-exchange catalytic-combustion filtering system, a waste heat circulating system and a temperature control system. Preferably, the catalytic combustion heat recovery system also comprises an overheating cooling system. The invention also provides a heat recovery control method of the catalytic combustion heat recovery system. In the invention, energy sources can be fully utilized by recycling the waste heat of waste gas, thereby performing the effect of environmental protection and avoiding the waste of the heat carried by tail gas still with higher temperature. According to the catalytic combustion heat recovery system, the expenses on a traditional heating system can be reduced by 60-90 percent, and organic gas, such as triphenyl, ester, ketone, ether, aldehyde, phenol and the like in a baking oven body can be recovered to enter the heat-exchange catalytic-combustion filtering system for catalytic combustion processing and resent into the baking oven body for cyclic utilization, thereby reducing environmental pollution, fully exerting the value of the energy sources and reducing the loss of the energy sources.

The invention discloses a system and a method for processing condensate oil. The system comprises a primary tower and an atmospheric tower; the bottom of the primary tower is provided with a primary tower reboiler; and the bottom of the atmospheric tower is provided with an atmospheric tower reboiler. The method comprises the following steps of: heating one part of primary tower bottom oil by using the primary tower reboiler, returning the heated oil to the primary tower bottom, heating the other part of primary tower bottom oil by using an atmospheric heating furnace; and heating one part of atmospheric tower bottom oil by using the atmospheric tower reboiler, returning the heated oil to the atmospheric tower bottom, and discharging the other part of atmospheric tower bottom oil, which serves as a heavy oil product. The system and the method can overcome a processing difficulty that light hydrocarbon content is high in the condensate oil processing process, are suitable for a production device which does not have a requirement for recycling a liquefied gas product in the condensate oil, and have the advantages of simple operation and low energy consumption.

The invention discloses an aquatic plant recycling method. The method comprises the following steps: 1, producing a botanical feed: 1-1) preprocessing a raw material; 1-2) producing a feed; and 1-3) nursing livestock and poultry; 2, producing biomass energy: 2-1) carrying out retting pretreatment; 2-2) mixing raw materials; 2-3) carrying out dry anaerobic fermentation; and 2-4) carrying out biogas comprehensive utilization; and 3, producing a high-efficiency multi-bacterial composite ecologic fertilizer: 3-1) preparing raw materials; 3-2) mixing and proportioning the raw materials; 3-3) carrying out high-temperature aerobic composting; 3-4) carrying out medium-temperature aerobic composting; and 3-5) mechanically granulating the obtained product, and packaging the granulated product. Aquatic plant wastes are adopted as the raw material, so the environment problems brought by landfill, onsite stacking or burning and other common aquatic plant waste disposing means are solved, the aquatic plant recycling mode is enriched, and values of aquatic plants are fully shown.

The invention provides a method for preparing foamed concrete by using coal gangue. The method comprises the following steps: I, crushing the coal gangue by adopting a jaw crusher, and then carrying out ball milling on the crushed coal gangue in a ball mill to obtain coal gangue powder; II, activating the coal gangue powder in a muffle furnace; III, mixing and stirring bean powder and deionized water to obtain a foaming agent; and IV, uniformly mixing the coal gangue powder, cement, sand, broken stone and a water reducing agent to obtain a mixture, then uniformly mixing the mixture and water to obtain slurry, adding the foaming agent into the slurry, uniformly mixing, pouring and forming, demolding and maintaining to obtain the foamed concrete. The coal gangue is adopted as a raw material, the coal gangue is activated and then is mixed with the foaming agent to prepare the foamed concrete, and a product has the characteristics of light weight and good sound insulation and heat insulation effect. The coal gangue is used for preparing the foamed concrete, so that not only is the additional value of the coal gangue sufficiently realized, but also the environmental pollution caused by the coal gangue can be reduced.

The invention discloses a method for preparing material liquid capable of improving the sensory quality of rolled sheet shreds. The method comprises the following steps of (1) mixing tobacco fragments or powder with an alcohol aqueous solution, and putting a mixture into an extraction tank; (2) heating the mixture in the extraction tank, preserving heat and stirring the mixture; (3) performing solid-liquid separation on the mixture heated in the step (2), and collecting liquid to obtain extraction liquid; (4) putting a certain weight of the extraction liquid obtained in the step (3) into a preparation tank, and adding 0.2 to 0.4 weight percent of licorice powder, 0.02 to 0.04 weight percent of menthol, 0.04 to 0.06 weight percent of fenugreek tincture and 5 to 8 weight percent of humectant into the extraction liquid to obtain mixed liquid; (5) stirring the mixed liquid obtained in the step (4) at normal temperature to obtain the needed material liquid. By extracting natural tobacco incense producing substances, waste tobacco raw materials are fully utilized, and the problems of obvious wood smell and relatively poor incense of the rolled sheet shreds are solved.

The invention discloses C30 tailing sand anti-washout concrete and a preparing method thereof. The concrete is composed of a cementing material, aggregate, an additive and water, the cementing material is composed of cement and activated fine tailing sand, the aggregate is composed of coarse aggregate and fine aggregate, the fine aggregate is composed of coarse tailing sand and manufactured sand, and the coarse aggregate is made of stone. One cubic meter of concrete is prepared from 180-300 kg of cement, 80-160 kg of activated tailing sand, 150-450 kg of coarse tailing sand, 300-600 kg of manufactured sand, 950-1100 kg of stone, 120-170 kg of water and 20-80 kg of additive. The environment-friendly concrete has good promoting effects of protecting the ecological environment and promoting circular economy development, cost of the concrete is reduced, and the concrete has good washout resistance and workability.

The invention relates to beta-phosphoryl nitrate ester compounds and a preparation method thereof. Novel compounds, namely the beta-phosphoryl nitrate ester compounds as shown in a general formula (I)are synthesized, and the prepared beta-phosphoryl nitrate ester compounds will have a dual property both of nitrate esters and organic phosphines. The invention also discloses the preparation methodof the beta-phosphoryl nitrate ester compounds, and the preparation method is that olefin compounds, phosphorus reagents and an oxidant are dissolved in a solvent, and are allowed to react at 30-60DEGC under a nitrogen atmosphere, so as to prepare and obtain the beta-phosphoryl nitrate ester compounds in one-step with a one-pot method. According to the beta-phosphoryl nitrate ester compounds andthe preparation method thereof, the starting raw material is olefins which are cheap, readily available, low in cost, and have many types for selection; step economy and atom economy are high; the obtained products have various types and generally have high yields; and meanwhile, the preparation method has mild reaction conditions, is safe for operation, is easy to control, has simple post-treatment, and is suitable for large-scale production.

The invention discloses a medicine project name contrast translation method for a heterogeneous system, and the method comprises six steps: data extraction and preprocessing, name cascading search, preliminary statistics of divided words, regression of all corpuses, repeated dividing of words, the determining of reasonability of all divided words, and the quantification of combined divided words. According to the invention, the method finds the difference of three catalogs of all regions through big data mining analysis. Taking the difference as the starting point, the method builds a three-catalog difference feature library of the heterogeneous systems of all places, builds a reliable medicine project name matching algorithm, effectively replaces a conventional manual contrast three-catalog matching method, solves a problem that the three-catalog contrast mapping period among the heterogeneous systems is longer, gives full play to the value of big data, and improves the medical data circulation efficiency. Meanwhile, the method does not need a professional grammatical word dividing tool to carry out the semantic analysis of each medical project mane, and reduces the complexity of the whole algorithm process.

The invention relates to preparation of food, and discloses a preparation method of flavor-improved oyster tablets. The preparation method comprises the specific steps: firstly, oyster meat is homogenized and sterilized with a high temperature and high pressure steam sterilization pot, then flavoring protease and neutral protease are added, complex enzymatic hydrolysis is performed, then aspergillus oryzae fermentation is performed, a fermentated enzymatic hydrolysate is freeze-dried to obtain oyster powder, the oyster powder is fully mixed with yoghurt powder, microcrystalline cellulose, beta-cyclodextrin and magnesium stearate, and the mixture is tabletted by a tablet press to obtain the flavor-improved oyster tablets. The original fresh flavor and nutritional value of oyster are retained, and the fishy flavor can be effectively removed. Through the proportioning with other auxiliary materials such as the yoghurt powder, the oyster flavor and the tablet quality are greatly improved.The oyster tablets are rich in nutrition, convenient to eat, easy to preserve, and favorable to accept by the majority of consumers.

The invention relates to a preparation method of braised pork with fennel, in particular to a method for preparing food containing pork and fennel. The food is prepared from pork with skin, fennel, honey, soy sauce, salted and fermented soya paste, green onion, raw garlic, ginger, salt, monosodium glutamate, fermented glutinous rice, preserved black bean, spicy hot pepper, anise, yellow wine, yellow rice wine, fermented bean curd, rock sugar, water and vegetable oil according to a certain process. The method fully brings out the marketable value of vegetables and is useful for improving income for farmers for a long period. In addition, the method can be applied in hotels, and can particularly enrich the culinary culture of people.

The invention discloses a two-stage optimization operation method and system for a scene analysis-based integrated energy system and the method comprises the steps: building a day-ahead stage optimization model based on the prediction reference value of each energy and load with the lowest day-ahead operation cost as an objective function; constructing an intra-day stage optimization model by taking the minimum increment expected value or the maximum decrement expected value of the day-ahead cost in an intra-day actual operation scene as an objective function; acquiring a global optimal operation scheme by the day-ahead stage optimization model and the intra-day stage optimization model; wherein an actual operation scene is cut down through a multi-parameter fast forward selection method so as to improve the optimization speed. The invention has the advantages of being high in optimization speed, good in economical efficiency, good in inclusiveness and the like.

The invention discloses a whole crowd movement intelligent management system based on big data. The system comprises a monitoring platform and a mobile terminal installed with a management system application program corresponding to the system. The monitoring platform is used for monitoring each movement data and each movement habit data of each classified crowd classified according to the presetclassification model; Mobile terminal, obtaining the movement data and the crowd characteristic data of each classified crowd, Through analyzing the movement data and crowd characteristic data, the first analysis results including the movement index information are obtained, and according to the first analysis results, the corresponding movement guidance scheme is provided for the different crowdcharacteristics of the different groups of people. The scheme of the invention can effectively identify the movement data of the whole crowd, divide the whole crowd into corresponding various crowds,more accurately, and effectively provide corresponding movement guidance schemes for various classified crowds with different crowd characteristics.

The invention discloses a short-time public transport passenger flow prediction method and system based on a weight stacking decision tree. The method comprises the following steps: 1) preprocessing bus IC card data, and aggregating the data into hour passenger flow data; 2) acquiring feature data of a to-be-detected route according to the location of the bus route and the time interval of the historical passenger flow, establishing a feature matrix and performing normalization operation; 3) carrying out independence test on the obtained features, carrying out correlation test on different features and prediction labels, and carrying out normal distribution test on the features; 4) constructing a weight stacking gradient lifting tree model; 5) training the training set through the weight stacking gradient boosting tree model, and then predicting the passenger flow in the prediction period to obtain a prediction result. The method has higher prediction precision and prediction stability, can give full play to the value of big data in the public transport field, effectively extracts the relevance between the multi-source impact factor and the passenger flow, and achieves the more accurate prediction of the short-term passenger flow of the public transport.

The invention discloses an ice tea served in a set of cups and preparation method thereof. The ice tea served in a set of cups is characterized by comprising components of chrysanthemum (1-2kg), longans (3-4kg), raisins (2-3kg), dried lichee (1-2kg), jujubes (1-2kg), crystal sugar (1-2kg), corns (3-4kg), brown rice (5-8kg), milk powder (1-2kg), calendula (1-2kg), cushaw flowers (1-2kg), pitaya flower (1-2kg), day lilies (1-2kg), Chinese and trichosanthes leaves (1-2kg). The ice tea served in a set of cups is like milk tea and is instant. Further, the ice tea contains rich nutrient elements and health protection components, and therefore the ice tea is beneficial for body health and prolongs life of persons who drink regularly.