59 results about "Scientific analysis" patented technology

The invention relates to the technical field of ocean data interpolation filling, in particular to a space-time deficiency filling method and system based on context association and physical guidance. The method comprises the following steps: acquiring seawater dissolved oxygen data and context data; multivariable space-time dependence extraction is carried out based on the obtained seawater dissolved oxygen data and context data; gaussian noise diffusion is carried out based on the obtained seawater dissolved oxygen data; noise prediction is carried out based on double-view space-time correlation; and the prediction error is constrained based on the joint loss function. According to the method, a physical consistency constraint mechanism based on a partial differential equation is introduced in a model training process, so that model output better conforms to a physical coupling rule among variables in a marine environment. The constraint effectively inhibits non-physical fluctuation possibly occurring in the interpolation result, enhances the physical credibility and interpretability of the result, and provides a more reliable data basis for subsequent scientific analysis and process modeling.

The invention provides a content marketing semantic analysis method and system based on natural language processing, and relates to the technical field of natural language processing, and the method comprises the steps: constructing a marketing intention semantic tree through dependency syntax analysis, calculating audience perception vectors to form a conduction path graph, recognizing and demonstrating conflict unit pairs, and evaluating marketing persuasion. A double-layer optimization objective function is constructed for text reconstruction, scientific analysis and accurate optimization of marketing content are realized, the persuasion and the propagation effect of the marketing content are improved, the consumption of marketing resources is reduced, and the accuracy of a marketing strategy is enhanced.

The invention relates to the technical field of pre-class meeting abnormity early warning, in particular to a pre-class meeting data deep analysis and abnormity early warning method and system, which dynamically matches standard pre-class meeting process data according to text feature data of a pre-class meeting initiating department, and accurately judges whether a pre-class meeting process is abnormal or not in combination with obtained real-time pre-class meeting process data. If so, executing a pre-class flow adjustment operation; according to the real-time meeting-before-class flow data, corresponding meeting-before-class flow index data is collected, and a meeting-before-class index evaluation model is combined to accurately evaluate meeting-before-class indexes to generate meeting-before-class index evaluation data; and judging whether the flow index in the before-class meeting process is abnormal or not by combining an evaluation threshold scientifically set through an improved intelligent optimization algorithm, and if so, giving out early warning, thereby realizing scientific analysis of before-class meeting data and accurate early warning of before-class meeting abnormity.

The invention relates to the technical field of intelligent water affair management, and discloses a comprehensive management system for intelligent water affair. The system comprises a hydrological data acquisition module, an abnormal feature recognition module, a correlation analysis module, a grading early warning module and a decision output module. The hydrological data acquisition module acquires data such as water quality and water flow velocity of multiple monitoring points to generate a hydrological feature set; the abnormal feature recognition module extracts abnormal indexes and topological information to form a pipe network abnormal feature distribution diagram; the correlation analysis module analyzes the pollution diffusion path and generates an abnormal correlation analysis result; the grading early warning module divides risk grades and outputs an early warning parameter set; and the decision output module generates a partition regulation and control instruction and a resource allocation strategy. According to the system, comprehensive monitoring, accurate abnormity identification, scientific analysis and association, reasonable early warning and efficient decision making of the water supply pipe network are realized, and the intelligent water affair management level is improved.

The present invention relates to the field of vehicle control platform testing technology, and discloses a joint debugging test system and method for a vehicle control platform. The method first obtains user historical joint debugging test record data, determines the test cycle and constructs a data set, and then determines the periodic user characteristic data set according to personalized rules; then extracts scene features, constructs paths, analyzes and scores to determine the optimal data; groups the scene feature path nodes of the optimal data as a benchmark, analyzes the adapted scene features, and determines the recommended score range; then filters and pushes test data according to the score range, and realizes automatic periodic updates. The system includes test record acquisition, scene feature processing, test adaptation recommendation analysis, and feedback update modules. The method and system effectively utilize historical data to realize scientific analysis of test scenarios, personalized recommendations, and flexible periodic updates, thereby improving the efficiency and accuracy of joint debugging testing.

The application relates to the technical field of customer service man-machine interaction processing, and discloses a customer service man-machine intelligent interaction system and method based on communication object information. The system comprises a user information acquisition module, a customer service man-machine interaction information analysis module and a customer service man-machine interaction execution module. The appearance national type of a customer service user is scientifically analyzed through the matching success rate of the user appearance feature image, the appearance national type of a communication object is scientifically analyzed based on the appearance feature of the communication object, the customer service man-machine interaction AI model required for customer service man-machine interaction is accurately screened according to the appearance national type information of the customer service user, the language type used and the characteristic text data of the customer service man-machine interaction AI model scientifically set by combining an intelligent recognition algorithm, the customer service man-machine interaction AI model is scientifically customized based on the appearance national type and the language type of the communication object, and the service experience and quality of the customer service man-machine interaction are improved.

The invention discloses a supporting device for forest tree pest and disease damage data acquisition, and relates to the technical field of agriculture and forestry, and the supporting device is characterized by comprising a telescopic rod, a fixing plate is arranged on the telescopic rod, an insect pest trapping and killing mechanism is arranged on the fixing plate, and an insect pest data acquisition mechanism is arranged on the insect pest trapping and killing mechanism; a supporting mechanism is arranged at the bottom of the telescopic rod, a clamping mechanism is arranged on the telescopic rod, and the clamping mechanism is clamped on a forest tree and used for improving the stability of the device. The system can adapt to different tree heights, trunk diameters and complex woodland terrains, is matched with solar power supply, realizes stable field long-term operation, can accurately identify plant diseases and insect pests, predicts trends through fusion of meteorological and forest basic data, scientific analysis and an ARIMA model, triggers graded early warning and pushes prevention and treatment suggestions, and has good application prospects. Large-scale and refined forest management requirements are met, a scientific basis is provided for disease and pest control decisions, and the accuracy and efficiency of forest management and protection are improved.

The invention relates to the technical field of hydrographic measuring instruments, in particular to a flow velocity meter suitable for low-water-depth and clean water environments, which comprises a buoy with two conical ends, simulates the working principle of a submarine, and can realize diving and floating of the buoy by controlling a water inlet valve, a water outlet valve and a high-pressure gas cylinder. In the floating process, the depth sensor records the water depth in real time, and the propeller synchronously measures the flow velocity, so that continuous and high-resolution flow velocity-depth profile data from the water bottom to the water surface can be collected, compared with traditional discrete point measurement, the data is more complete and more accurate, the accuracy of flow calculation and scientific analysis can be greatly improved, and the measurement precision is improved. Through the designed cross-shaped guide assembly, the whole buoy becomes a large underwater wind vane. No matter how the water flow direction changes, the empennage can generate restoring torque under the impact of the water flow, and passively and automatically drive the whole platform to rotate around the axis of the mooring rope until the head (one end provided with the propeller) of the platform is completely aligned with the incoming flow direction.

The invention relates to a geothermal energy development information management system, relates to the technical field of geothermal energy development, and realizes real-time sharing and seamless joint of information among different departments by establishing a unified information standard and a data interface. Through an integrated platform, all departments can conveniently obtain and use required information, and the efficiency and accuracy of information exchange are improved; according to the invention, integration and centralized management of geothermal information are realized, the problem of information dispersion in traditional geothermal resource management is solved, a user can conveniently obtain various required geothermal information in a one-stop manner, and the utilization efficiency of the information is improved. The geothermal resource management method is beneficial to improving the management efficiency and the utilization level of geothermal resources, promotes reasonable development and sustainable utilization of the geothermal resources through comprehensive mastering and scientific analysis of geothermal resource information, and has important economic and environmental benefits. Meanwhile, based on advanced technologies such as Vue3, ECharts and JavaScript, the performance and interactivity of the system are improved, the fluency of the animation effect and the response speed of the system are ensured, and the user experience is improved.

The invention discloses an outdoor operation method, system and equipment based on a satellite remote sensing technology, and a medium, and relates to the technical field of outdoor operation. The method comprises the following steps: acquiring multi-source remote sensing data of a target outdoor area through a satellite remote sensing module; generating a disaster situation map through the ground control center according to the multi-source remote sensing data; generating an operation task list through the ground control center according to the disaster situation map; distributing the operation task list to a plurality of robot dogs through the ground control center; and carrying out collaborative operation through the robot dogs according to the operation task list. Therefore, by fusing satellite remote sensing, intelligent analysis and multi-robot-dog cooperative control, integrated emergency response of rapid sensing, scientific analysis, automatic distribution and unmanned operation in a disaster scene is realized, and the intelligence, high efficiency and safety level of outdoor disaster disposal are remarkably improved; the key technical problems of information lag, decision-making dependence on experience, high personnel risk, low response efficiency and the like in traditional rescue are effectively solved.

The invention relates to the technical field of mine car automatic ore loading, in particular to an underground rail mine car automatic ore loading system and method based on industrial vision and the AI technology, and the method comprises the steps: accurately matching the real-time environment image data of an underground rail mine car with the environment image feature data of different mine car positions, and generating the real-time position meter number of the underground rail mine car; the method comprises the following steps: calculating the meter number of a mine car, comparing the meter number with a preset meter number of a wellhead brake point position, controlling the speed of the mine car according to a numerical comparison result, correcting the position of the mine car after the speed of the mine car is 0, and executing discharging operation of an ore drawing machine after the position of the mine car is corrected. And then scientific analysis is carried out on the mine car material level change image feature data through a constructed mine car material level identification model, mine car material level full scale analysis data is generated, and whether the discharging operation of the ore drawing machine is ended or not is judged according to the mine car material level full scale analysis data. Automatic ore loading of the underground tramcar and accurate control over the ore loading process are achieved.

This invention discloses an intelligent retrofitting system and method for existing earth-rock dams, comprising: a sensing module for collecting monitoring data, calculating a comprehensive monitoring system evaluation index, identifying and optimizing the monitoring system based on the index, and outputting optimized monitoring data and multi-dimensional defect identification results; an analysis module for calculating an analysis model evaluation index, diagnosing and optimizing the analysis model based on the index, and outputting dam safety status assessment results based on the optimized analysis model; a decision-making module for calculating a decision-making efficiency index, diagnosing and optimizing the decision-making process based on the index, and outputting control commands based on the optimized decision-making process; and a control module for calculating a control performance index, diagnosing and optimizing the control configuration based on the index, executing control commands based on the optimized control configuration, and feeding back the execution result data to the sensing module. This invention enables precise monitoring, scientific analysis, intelligent decision-making, and efficient control.

The invention relates to the technical field of industrial equipment monitoring, in particular to a bearing state monitoring sampling optimization method and system based on reinforcement learning, and the method and system are characterized in that multi-dimensional parameters such as equipment operation conditions, real-time vibration signals and bearing key degrees are integrated, and dynamic baseline prediction, health index correction and sampling strategy optimization are adopted. And finally, a self-adaptive monitoring sampling strategy which is highly matched with the real-time health state of the bearing is generated, so that the conversion from uniform monitoring to on-demand monitoring is realized, the overall efficiency and the intelligent level of the monitoring system are remarkably improved on the premise of guaranteeing the equipment safety, and scientific analysis and accurate optimization of the bearing state monitoring sampling strategy are realized.

This invention belongs to the field of biodetection technology, specifically disclosing a novel skin typing method, biomarkers based on skin surface metabolomics typing, and their applications. Based on population-level skin surface metabolite measurement data and through multi-dimensional scientific analysis, this application ultimately discovered that the skin samples of the subjects formed two distinct clusters. This demonstrates that differences in metabolomics clusters based on skin typing objectively exist. Furthermore, the two distinct clusters based on the aforementioned skin surface metabolomics data are named "Metabolic Type 1" or "Metabolic Type 2." Simultaneously, these two typing methods also exhibit differences in various skin condition indicators (e.g., sebum levels, actual age, wrinkles, freckles, etc.). By using the typing method provided in this application to study skin surface metabolomics substances, one or more metabolites can be used as biomarkers to identify the specific skin typing level and guide adjustments to the desired skin condition. This application overcomes the limitations of existing methods that define skin typing solely based on dry, oily, etc., providing more comprehensive guidance for practice.

The invention relates to the technical field of water resource scheduling management, and discloses an intelligent water resource dynamic simulation, regulation and control system and method based on karst hydrogeological investigation, and the method carries out the precise measurement of the total water storage capacity of a non-water-storage space structure in karst geology based on the three-dimensional model information of a karst geology space in combination with geologic structure analysis software. The water storage capacity of the karst geographic area is reliably evaluated according to the geological space characteristics of the karst geographic area, and the karst geological water resource scheduling precision is improved; according to the karst geological space three-dimensional model information, an intelligent search algorithm and different water storage rate standard karst geological space structure three-dimensional model information based on big data storage are combined to carry out karst geology water storage scheduling rate scientific analysis, and the water storage rate of a karst geological area is intelligently matched based on karst geological area space characteristics. Intelligent and environment-friendly karst geology water resource dispatching operation is achieved, and the efficiency and accuracy of karst geology water resource dispatching are improved.

The invention discloses a supply chain finance digital processing system and method, and belongs to the technical field of digital processing, and the system comprises a data collection module, a data processing module, a risk assessment module, a financing matching module, and an execution and monitoring module. According to the method, quantifiable enterprise digital level evaluation indexes are constructed through word frequency statistics and logarithmic processing, and a data basis is provided for subsequent analysis; a fixed effect regression model is adopted, the influence of digital transformation on the financial level of the supply chain is scientifically analyzed, and empirical support is provided for enterprise decision making; dimensional regression analysis is carried out on digital technology dimensions such as artificial intelligence, big data, cloud computing and block chains, specific influences of all technology paths on supply chain finance are identified, and accurate investment of enterprises is assisted. The enterprise credit risk is dynamically evaluated based on real-time data and model output, and conversion from static evaluation to dynamic monitoring is realized.

The invention relates to the technical field of customer service man-machine interaction processing, and discloses a customer service man-machine intelligent interaction system and method based on communication object information, and the system comprises a user information collection module, a customer service man-machine interaction information analysis module, and a customer service man-machine interaction execution module. Scientific analysis of appearance nationality types of customer service users is carried out based on a user appearance feature image matching success metering proportion, and scientific analysis of appearance nationality types of communication objects based on appearance features of the communication objects is realized; according to the appearance nationality type information of customer service users, accurate screening of customer service man-machine interaction AI models required by customer service man-machine interaction is carried out by using language types in combination with an intelligent recognition algorithm and scientifically set customer service man-machine interaction AI model feature text data; based on the appearance nationality type of a communication object, a customer service man-machine interaction AI model is matched in a scientific and customized manner by using a language type, and the service experience and quality of customer service man-machine interaction are improved.

The invention discloses a method for longitudinally regulating and controlling high-point linear fireflooding of a thick-layer blocky heavy oil reservoir, and belongs to the technical field of oilfield development geology. According to the technical scheme, a fireflood well group is divided into two areas, namely a continuous interlayer area and a non-continuous interlayer area, according to the boundary of the continuous interlayer for blocking gravity drainage and the development condition of the continuous interlayer of a block; according to the gravity oil drainage tracks of different areas, oil well production well sections are optimally configured in a zoning mode; in the continuous interlayer area, the gravity oil drainage high-temperature section is located on L51 + 2, an oil well in the continuous interlayer area is away from an L51 small layer, an L52 small layer is selectively injected, and thermal communication of an L52 oil layer is strengthened; and in the discontinuous interlayer area, the gravity oil drainage high-temperature section gradually descends to the L54 small layer from the L51, and the huff and puff guide effect well section also descends to the L54 small layer from the L51, so that the thermal communication between the high-temperature area and the low-temperature area is enhanced. The method has the beneficial effects that through scientific analysis, accurate division and reasonable configuration, the fireflooding effect, the crude oil recovery rate and the operation safety are remarkably improved, and the method has great significance in promoting efficient development of thick-layer blocky heavy oil reservoirs.

The present application belongs to the field of food technology, and particularly relates to a quality rapid evaluation model and a construction method of spicy chilli bar based on multi-level sensory flavor. The present application aims at different intensity of different quality concentration reference samples of spicy chilli bar on the scale from the perspective of multi-level sensory flavor. The reference samples can be used to accurately calibrate the sensory difference of the evaluators, unify the standardization of the evaluation benchmark, and further greatly improve the accuracy and objectivity of the sensory evaluation data. Not only can the present application provide a reference scale for accurately quantifying the quality of spicy chilli bar, but also can provide a systematic research idea and technical method for the establishment of other sensory characteristic reference samples, which has important significance for improving the scientific analysis level of the sensory evaluation of spicy chilli bar products.

The present application relates to a kind of water-flooded gas well wetting reversal water seal production potential evaluation experimental method, belong to oil and gas field development field;It establishes a kind of scientific analysis method based on wetting reversal for water-flooded gas well water seal effect evaluation, its technical scheme is: obtaining the wellbore pressure gradient distribution data of target gas well under current capacity;Respectively obtain the wetting angle and corresponding wellbore breakthrough pressure gradient distribution data before and after wetting reversal of reservoir core;The above three kinds of distribution data are compared, and the production potential of wetting reversal measure for the water seal of target gas well is evaluated according to the comparison result, the application effect of wetting reversal agent is quickly and intuitively evaluated;The present application has good practical application effect, reliable result, and strong generalizability.

This invention relates to the technical field of meteorological analysis and discloses a method and system for identifying thunderstorm and strong wind areas based on radar-based data. The method intelligently identifies the cloud shape type of thunderstorm and strong wind areas based on spatial model data of cloud layers in thunderstorm and strong wind areas, combined with artificial intelligence algorithms and standard cloud shape data of different thunderstorm and strong wind areas stored in big data, thus achieving scientific analysis of cloud shape types in thunderstorm and strong wind areas. Based on the identified cloud shape information of thunderstorm and strong wind areas, and combined with intelligent search algorithms and standard cloud shape information of different thunderstorm and strong wind areas, the method accurately analyzes the type of thunderstorm and strong winds, thus achieving scientific analysis of the severity of thunderstorm and strong wind hazards based on cloud layer characteristics. Finally, based on the spatial model data of cloud layers in thunderstorm and strong wind areas and combined with a GIS system, the method accurately locates the thunderstorm and strong wind coverage area, thus achieving accurate analysis of the geographical coverage characteristics of thunderstorm and strong wind areas based on cloud layers.

The invention relates to the technical field of fruit and vegetable growth trend analysis, in particular to a fruit and vegetable growth trend analysis method and system and computer equipment, a fruit and vegetable form prediction model is constructed through historical data, so that the model can better predict a final form from real-time form, growth environment and weather data, and the fruit and vegetable growth trend is analyzed. A good and reliable tool is provided for subsequent operation, the shapes of the fruits and vegetables in the target fruit and vegetable area are scientifically predicted in combination with fruit and vegetable real-time shape data, fruit and vegetable growth environment data and weather data, and fruit and vegetable shape change data are accurately calculated; according to the fruit and vegetable real-time image data, an image matching algorithm and preset image feature data are combined to intelligently identify a fruit and vegetable real-time growth stage, corresponding standard fruit and vegetable form change data are accurately matched, scientific analysis is carried out in combination with the fruit and vegetable form change data, and whether the fruit and vegetable growth trend is abnormal is judged; and if so, optimizing the growth environment by combining an intelligent optimization algorithm to realize scientific analysis of the growth trend of the fruits and vegetables.

The invention discloses a method for converting a weather radar CINRAD format into an HDF5 format, and the method comprises the steps: firstly analyzing a radar base data file of the CINRAD format, and extracting key parameters, such as an azimuth angle, a reflectivity, a radial speed and the like; through an azimuth interpolation method, irregular azimuth data are standardized into integer angles from 0 degree to 359 degrees, and special situations of crossing 0 degree and 359 degrees are processed. Interpolation is carried out on data with different resolutions, so that the reflectivity and the radial speed are stored and processed under the unified resolution. And storing the processed data according to an HDF5 format. According to the method, through a multi-thread batch processing technology, multiple radar data files can be converted at the same time, and the data processing efficiency is remarkably improved. The method is widely applicable to meteorological radar data processing and scientific analysis, and has the advantage of cross-platform data sharing.

The present application relates to the technical field of power system analysis, in particular to a power system source and load bilateral uncertainty characterization and tracing method and system, adopting the method provided by the present application, including dividing primary indicators, secondary indicators and tertiary indicators; obtaining data of the primary indicators at multiple time sections, setting a plurality of data judgment thresholds, classifying the current system operation state based on the judgment thresholds, performing step-by-step analysis and calculation through the feature importance score of each indicator about a certain indicator output by the machine learning model, through the above hierarchical and progressive analysis framework, combined with the machine learning method robust to collinearity, the source and load bilateral uncertainty in the high-proportion new energy power system can be quantified and traced systematically, providing a new, more accurate and scientific analysis tool for power grid risk warning, planning decision and operation optimization.

The application provides a content marketing semantic analysis method and system based on natural language processing, relates to the technical field of natural language processing, and comprises the following steps: constructing a marketing intention semantic tree through dependency syntax analysis, calculating audience perception vectors to form a conduction path atlas, identifying argument conflict units and evaluating marketing persuasiveness, constructing a double-layer optimization objective function to perform text reconstruction, realizing scientific analysis and accurate optimization of marketing content, improving the persuasiveness and propagation effect of marketing content, reducing marketing resource consumption, and enhancing the accuracy of marketing strategies.

Method for assessing the seismic risk on existing buildings, comprising the following steps:a) identifying a set (N) of existing buildings to assess;b) acquiring for all existing buildings belonging to said set (N) qualitative data relating to the formal and construction features of said buildings;c) processing said qualitative data with a rapid analysis method based on qualitative criteria to assess the seismic vulnerability, and the related basic seismic risk, of all existing buildings belonging to the set (N);d) selecting in an organized manner a subset(S) comprising 25% to 33% of buildings of the set (N);e) acquiring for all the buildings of the subset(S) a plurality of analytical parameters;f) processing said plurality of analytical parameters with a scientific analysis method based on quantitative criteria to assess the vulnerability and the basic seismic risk of all the buildings of the subset(S);g) selecting in an organized manner a learning sample (A) comprising 70% to 80% of the buildings of the subset(S), and deriving by subtraction a verification sample (V) comprising 20% to 30% of buildings of the subset(S);h) using an AI-based machine learning model entering into an algorithm, for each building included in said learning sample (A), at least a part of said plurality of analytical parameters and the corresponding seismic vulnerability and basic seismic risk results already obtained with the scientific analysis method referred to in step f), to generate a statistical model for predicting seismic vulnerability and basic seismic risk universally applicable to any building in the set (N);i) applying said statistical prediction model to the buildings of the verification sample (V) using as input data the same part of said plurality of analytical parameters used for learning sample (A), and obtaining as output data calculated values of seismic vulnerability and basic seismic risk;l) comparing said values calculated as output from said statistical prediction model referred to in step i) with the corresponding values of seismic vulnerability and basic seismic risk obtained by applying the scientific analysis method referred to in step f), and determining a degree of accuracy, precision and sensitivity APS of the statistical prediction model;m) if said degree of APS has a value greater than a pre-established value, applying the same validated statistical prediction model to the remaining part of the buildings of the set (N) on which the scientific analysis method has not been applied;n) if said degree of APS has a value lower than said pre-established value, increasing the number of existing buildings belonging to the subset(S) and reiterating steps e) to l) until the statistical prediction model is validated.

A bionic drainage and heat insulation hot melting ice layer drilling tool belongs to the technical field of ice layer drilling, and is characterized in that a front hot melting drill bit, a shell, an end cover and a rear hot melting drill bit are arranged front and back and fixedly connected, a bionic honeycomb interlayer, an air interlayer and the shell are arranged inside and outside, and the front and rear ends of the air interlayer and the bionic honeycomb interlayer are fixedly connected to the shell and the end cover respectively; the bionic filtering device, the scientific load cabin and the cable cabin are arranged front and back and located in a space formed by the end cover, the bionic honeycomb interlayer, the shell and the front hot melting drill bit, and the filter element box is fixedly connected to a center hole of the bionic filtering device; in the ice layer drilling process, the front hot melt drill bit with the spiral grooves and the small holes can achieve drilling, meanwhile, liquid can be guided into the drilling tool, and then a gas-liquid mixture with few solid particles is obtained through multiple times of filtering for scientific analysis; the designed bionic honeycomb interlayer and the multiple air interlayers with the partition plates have the good heat insulation effect, the working environment of components in the scientific load cabin can be guaranteed, and meanwhile the strength of a drilling tool can be guaranteed.

The invention discloses a industry and financial integrated digital intelligent collaboration method and system in a book publishing industry, relates to the field of book publishing, and solves the problems that a large number of books sold without sale or hot books are printed and issued and the popularity condition of the books is not fully considered when the current book publishing industry is oriented to the books sold without sale or hot books. The method comprises the following steps: acquiring book sales data of a to-be-analyzed book and book printing and issuing data of the to-be-analyzed book; performing data analysis on the profit condition of the to-be-analyzed book to obtain a book total profit of the to-be-analyzed book; acquiring book popularity data of the to-be-analyzed book, analyzing the popularity condition of the to-be-analyzed book, and analyzing whether the to-be-analyzed book is a hot book or not; if the book is a hot book, the continuous printing and issuing condition of the to-be-analyzed book is analyzed, and the continuous printing and issuing amount of the to-be-analyzed book is obtained through analysis, and scientific analysis and accurate analysis of the subsequent printing and issuing amount of the hot book are achieved based on the popularity condition and the earlier-stage income condition.

The invention discloses a general automatic metabolite collecting device for rats and mice, and belongs to the technical field of animal experiments, the general automatic metabolite collecting device comprises a metabolite collecting module comprising a cage and a collecting base arranged at the bottom of the cage, the collecting base is provided with a collecting cavity, and the lower end of the collecting base is provided with a metabolite outlet communicated with the collecting cavity; a first electromagnetic valve is arranged at the metabolite outlet; the cage cleaning module comprises a water storage tank and a cleaning water pipe, the water storage tank is arranged on one side of the cage, the first end of the cleaning water pipe communicates with the water storage tank, and the second end of the cleaning water pipe extends into the collecting cavity of the collecting base; a second electromagnetic valve is arranged on the cleaning water pipe; a conveying part; and the metabolite separation and storage module comprises a metabolite separation part and a metabolite separation and collection bottle. According to the invention, automatic collection and solid-liquid separation can be carried out on metabolites, and the separated solid and liquid metabolites are respectively and properly stored for subsequent scientific research and analysis, so that the time cost for collecting the metabolites is greatly reduced.

The invention relates to the technical field of energy-saving potential measurement and calculation, and particularly provides a low-energy-efficiency power supply and consumption equipment energy-saving potential measurement and calculation method and device, and the method comprises the steps: selecting high-efficiency equipment and low-efficiency equipment from general power supply and consumption equipment; obtaining typical operation curve data of the high-efficiency equipment and the low-efficiency equipment, and determining a power-saving potential factor of general power supply and consumption equipment based on the typical operation curve data of the high-efficiency equipment and the low-efficiency equipment; determining the power-saving potential of low-efficiency equipment of the general power supply and consumption equipment based on the power-saving potential factor of the general power supply and consumption equipment; according to the technical scheme provided by the invention, the energy-saving potential of the low-energy-efficiency power supply and consumption equipment can be scientifically analyzed, researched and judged, and a basis is provided for implementation of subsequent building power supply and consumption equipment updating work.