55results about How to "Computing Science" patented technology

The invention belongs to the technical field of video monitoring and particularly relates to a swimming pool drowning monitoring and detection device which is used for detecting a drowning behavior possibly occurring in a swimming pool through utilization of a camera. The main structure comprises a computer processing unit, the camera, a polarizer, a posture detector, a calling device, an LED monitor and the like. The technology comprises the main steps of starting a detection system, monitoring and matching targets, detecting foregrounds and tracking the targets, tracking and positioning thetargets, judging drowning and alarming the drowning. The processing can be carried out timely according to information photographed by cameras; the drowning alarm is generated; the device cost is low;the device is easy to mount and maintain; a system is secure and efficient; the positioning is accurate; the calculation is scientific; the drowning pre-judgment and alarm can be carried out from full directions and multiple angles; an error rate is low; a life can be rescued at the first time; and the security of the swimming pool is greatly improved.

The invention discloses an intelligent method for monitoring and the emission of wastewater pollutant in an industrial park. The method integrates the on-line pollutant measurement, the scientific measurement of the total pollutant emission and the real-time monitoring of the abnormal conditions of pollutant emission into a whole, selects an accurate and real-time on-line measuring instrument to realize on-line and real-time monitoring of the wastewater emission condition in the industrial park, not only overcomes the disadvantages that the chemical method has long sampling interval time, is difficult to carry out the real-time monitoring to the pollutant concentration and the scientific measurement and computation to the total pollutant emission and further can not effectively monitor and supervise the excess and stealthy emission in enterprises but also can adopt measures of warning in time, closing an overrun drain pipeline, etc. when the abnormal conditions occur in the process of pollutant emission, thereby effectively guaranteeing the safe and reliable operation in a wastewater centralized treatment plant in the industrial park and in particular being suitable for the real-time monitoring of the wastewater emission and the scientific measurement and computation of the total wastewater emission of the enterprises in the industrial park.

The invention belongs to the technical field of research and application of civil engineering materials and relates to a method for determining the fineness modulus of sand by utilizing an image analysis technology. The method comprises the eleven specific steps: sampling, photographing, preprocessing images, calibrating a scale, separating sand grains from the background, dividing the adhered sand grains, treating the sand grains on the image boundary, treating the sand grains with holes, determining the minimum Ferrette diameter, carrying out grain-diameter filtering on the sand grains and calculating the fineness modulus of the sand. The method has the advantages that the image analysis method is adopted for calculating the fineness modulus of the sand for the first time, and the criterion that the volume ratio and the weight ratio is equal is applied, so that the weighing process of the sand is avoided; the minimum Ferrette diameter is adopted as the equivalent grain diameter of the sand which can be sieved, so that the accuracy of determined data is better guaranteed; and the method is novel in design, reliable in principle, simple in operation, scientific in calculation, accurate in data, low in cost and high in automation degree.

The invention relates to an evaluation method of an urban conventional bus network, belongs to the field of public transport network evaluation; the method includes establishing an index system of urban conventional public transport network evaluation according to the principles of comprehensiveness, scientificity and feasibility from the three aspects of the road network, passenger transport level and service level of urban public transport; then constructing an urban conventional public bus network evaluation model; analyzing and processing data obtained through vehicle following investigation, traffic investigation, data collection and the like to obtain actual index values; carrying out dimensionless processing on each index value, and determining a membership table of indexes according to dimensionless data of each index and a membership function to obtain an evaluation matrix; and then, calibrating the weights of the indexes influencing the network evaluation in the model by using an analytic hierarchy process and yaahp software; and finally, performing two-stage fuzzy comprehensive evaluation and evaluation result analysis and verification, determining the level of the urbanconventional bus network finally, and providing a basis for evaluation of the urban conventional bus network.

The invention discloses a regional gridding cumulative environmental risk assessment system and method based on a risk field, and belongs to the field of environmental science and environmental risks.The cumulative environmental risk assessment system comprises a data acquisition unit, a data storage unit, an assessment analysis unit and a risk visualization unit, and can assess cumulative environmental risks and generate a visual environmental risk map according to assessment results. According to the evaluation method, an accumulative environmental risk index evaluation model is establishedbased on an accumulative environmental risk field intensity index, an accumulative environmental risk control mechanism index and an accumulative environmental risk receptor index, accumulative environmental risks are evaluated through the established model, and the accumulative environmental risk level of an evaluation area is determined. In combination with the cumulative environmental risk assessment system and assessment method, the cumulative environmental risk can be scientifically and accurately assessed, so that a powerful technical support is provided for the management work of the cumulative environmental risk.

A preparation method for cellulose carbamic acid ester is characterized in that cellulose pulp is added to alkali liquor of set concentration according to certain bath ratio to be processed to obtain alkali cellulose; and the alkali cellulose and urea are used as raw materials, supercritical carbon dioxide flow is used as a carrier, under the assistance of a cosolvent, and supercritical CO2 dissolves the urea and carries the urea to enter positions among alkali cellulose molecules to finish activation of alkali cellulose molecules and embedding of the urea. Simultaneously, by controlling the temperature and pressure of a reaction kettle, the alkali cellulose and the urea embedded among the alkali cellulose undergo esterification to obtain cellulose carbamic acid ester. The method combines two stages of embedding and esterification and simplifies operation and improves production efficiency, and synthesized cellulose carbamic acid ester is stable and controllable in quality. Simultaneously, by alkalization processing the cellulose pulp, obtained products have better flowability and spinnability and are applied to cellulose raw materials with various different polymerization degrees.

The invention belongs to the flood prevention and disaster reduction technical field and provides a flood prevention and disaster reduction capability evaluation model. The model comprises following steps: screening out flood prevention and disaster reduction capability evaluation indexes aiming at the flood prevention and disaster reduction capability; converting the flood prevention and disaster reduction capability evaluation indexes; uniformly expressing the indexes as very large indexes; carrying out dimensionless processing to the very large index numerical values of the flood prevention and disaster reduction capability evaluation indexes; respectively carrying out weight calculation to the flood prevention and disaster reduction capability evaluation indexes after the dimensionless processing; making a flood prevention and disaster reduction capability evaluation index threshold value; according to the flood prevention and disaster reduction capability evaluation index weight values and the flood prevention and disaster reduction capability evaluation index threshold value, in adoption of a hydrological and hydraulic model technique, an analytic hierarchy process and grey relational degree combined evaluation method, making a flood prevention and disaster reduction capability hierarchy and grey coupled evaluation model based on a MatLab system platform. According to the model of the invention, the flood can be prevented well; the personal and property security of the masses can be protected; different considerations are taken aiming at different regions; and the prevention is more accurate and effective.

The invention discloses a rail train bogie fatigue life estimation method. The method comprises the steps: S1, establishing a finite element analysis model of a bogie framework; s2, applying a boundary condition and an external required load to the finite element analysis model constructed in the step S1, and performing finite element analysis and calculation; s3, selecting a stress monitoring point for stress monitoring, and inversing the numerical relationship BX = Y between the monitoring point and the external load, wherein B is a coefficient matrix, X is an external load column matrix, and Y is a value matrix of the stress monitoring point; s4, arranging stress monitoring points on the actual bogie, monitoring stress, obtaining an actual stress monitoring value, and meanwhile calculating the actual external load in combination with the numerical relationship between the monitoring points obtained in the step S3 and the external load; and S5, applying the actual external load calculated in the step S4 to the finite element model in the step S1 for analysis, and selecting a node with a relatively large stress cycle for fatigue life estimation, thereby predicting the residual life of the framework and guiding the actual operation of the train.

The invention relates to a method for determining and recycling waste heat of recycle boiler smoke by using a phase change heat exchanger. The method comprises the steps of (1) calculating the waste heat absorbed from the boiler smoke by the phase change heat exchanger; (2) calculating the steam extraction amount of a NO. 8 low pressure heater and a NO.7 low pressure heater after the phase change heat exchanger heats part of condensed water; (3) calculating the additional generating capacity after the steam extraction amount of the NO. 8 low pressure heater and the NO.7 low pressure heater is reduced for power generation; (4), calculating the waste heat saved energy of the boiler smoke by the phase change heat exchanger. The waste heat of the boiler smoke is recycled by the phase change heat exchanger and is used for heating the condensed water before the condensed water enters the NO. 8 low pressure heater at a pump outlet, the heated condensed water is combined into a condensed main pipeline at the outlet of the NO. 7 low pressure heater, and the reduced part of steam extraction amount is used for power generation, thus increasing the power of a power generator and reducing the consumption of burning coal.

The invention relates to an energy saving amount determination method for recycling waste heat of circulating cooling water by means of a heat pump. The method includes the step (1) of determining the amount of waste heat absorbed by the heat pump from circulating cooling water of a condenser, the step (2) of determining the decreased amount of unit electricity generation power after pressure of the condenser is improved, and the step (3) of determining the energy saving amount of waste heat generated when the heat pump is utilized to recycle circulating cooling water of the condenser. The heat pump is used for recycling waste heat of circulating cooling water of the condenser to heat circulating water of a heating network, losses of a cold source of a steam turbine are reduced, external heating loads are increased, consumption of fire coal is reduced, and the purpose of energy saving is achieved. The energy saving amount of waste heat, recycled by the heat pump, of circulating cooling water of the condenser is calculated successfully by means of system analysis, the through is rigorous, calculation is scientific, and the method has great significance in improvement on recovery efficiency of waste heat and the waste heat recovery process.

The invention discloses a coal pyrolysis reaction thermal testing method based on a heat flow type DSC technique. The coal pyrolysis reaction thermal testing method comprises the following steps: continuously testing heat flow and weight loss data of dry basis coal pyrolysis process and coke pyrolysis process by using a synchronous thermal analyzer, and calculating with the combination of industrial analysis and element analysis data of an air dried coal sample and a coke sample, thereby obtaining normalization reaction heat flow and normalization reaction heat of coal at different temperatures. By adopting the coal pyrolysis reaction thermal testing method, the testing process is implemented continuously and automatically, the calculation process is simple, convenient and scientific, and the coal pyrolysis reaction heat can be conveniently and reliably tested under conditions of opened crucibles and covered crucibles.

The invention discloses a method and a system for predicting plane distribution of different reservoirs. The method comprises the following steps of S1, acquiring a normalized seismic attribute data volume by using seismic data; S2, processing the normalized seismic attribute data volume to obtain similarity coefficient data of different reservoir types; and S3, performing reservoir probability data calculation on the attribute data of each CDP point on the plane by using the appearance boundaries of different reservoirs and the similarity coefficient data, performing color component normalization and assignment on the data subjected to reservoir probability data calculation, performing color fusion, and displaying. and obtaining a planar graph for reservoir prediction and evaluation. According to the method, a problem that different types of reservoirs, reservoirs and non-reservoirs cannot be accurately predicted and distinguished in the prior art is solved.

The invention discloses a day-to-day rolling optimization method for a comprehensive energy system. The method comprises the following steps: considering that a user can adjust an energy demand on thesame day, shortening an optimization time domain to [t, t + H), and because an indoor temperature, a hot water temperature, an energy storage electric quantity and an electric vehicle electric quantity have a time accumulation effect, obtaining a current state set of a system before optimization, and calculating a target function; calculating a time domain [t, t]; t + H), the output magnitude ofthe cooling, heating and power load equipment and an equipment operation state optimization control target value; only the optimal control target value Ct of the time period t is taken as the equipment control set value of the time period t, in the next time period t + 1, Ct + 1 is recalculated in the time domain [t + 1, t + 1 + H), the process is repeated, and the whole optimization interval rolls forwards along with time; according to the electricity price day-to-day rolling optimization method, the energy flow of the user side can be optimized according to user preferences, comprehensive benefits of economy, energy conservation, environmental protection and high user comfort are achieved, calculation is more scientific, and efficiency is higher.

The invention relates to the field of civil engineering, in particular to a method for strengthening a box girder prefabricated segment box chamber. According to the method, firstly, after a series of basic data are determined, local pressure-bearing checking and calculating are performed on a girder portion, in contact with a supporting leg of a bridge erecting machine, on the box chamber, punching checking and calculating are performed on a top board, and eccentric pressure-bearing and pulling-bearing checking and calculating are performed on a box chamber web in a position, in contact with the supporting leg of the bridge erecting machine, on the box chamber with finite element analysis software after qualification is achieved; secondly, different supporting structures are set in the finite element analysis software, a certain numerical value obtained in eccentric pressure-bearing and pulling-bearing checking and calculating is used as the main environmental initial datum, finite element analysis is performed on the supporting structures respectively, and multiple groups of qualified solutions are obtained, and the optimal solution is selected to finally perform material selecting. The method for strengthening the box girder prefabricated segment box chamber is scientific in calculation, capable of saving materials and convenient to carry out.

The invention provides an image processing method and device based on color restoration, a pedestrian recognition method and device and a readable storage medium. The image processing method comprisesthe following steps: 1) extracting continuous frames; 2) performing Gaussian blur; 3) performing channelization treatment; 4) performing quantization processing to obtain a reflection image; 5) performing weighted calculation to obtain an enhanced image; and 6) performing mean value processing and normalization on the enhanced image to obtain a preprocessed image, and outputting the preprocessedimage. According to the image processing method and device based on color restoration, the pedestrian recognition method and device based on color restoration and the readable storage medium, the enhanced reflection image can be more scientifically calculated, a recognizable image is clearly restored from a low-brightness image in a dark scene, and noise points are fewer than those of other imageenhancement algorithms. Meanwhile, different from a traditional linear and non-linear method which can only enhance a certain kind of features of the image, the method of the invention can achieve balance in three aspects of dynamic range compression, edge enhancement and color constancy, and therefore adaptive enhancement can be carried out on various images with different brightness.

The invention relates to the technical field of bridge temperature monitoring, in particular to a mass concrete temperature monitoring method. The mass concrete temperature monitoring method comprisesthe following steps of: pre-burying a temperature sensor and a cooling water pipe at set positions during concrete pouring; establishing a virtual coordinate system by taking the central point of thebottom surface of the concrete as an original point, determining coordinates of each temperature sensor, and establishing a matrix model according to the coordinates of the temperature sensors; acquiring required temperature information of a horizontal section or a vertical section according to the position information of each coordinate point in the matrix model in combination with the temperature detected by each temperature sensor; and judging whether the temperature information of the required horizontal section or vertical section meets the design requirement or not, if so, conducting noprocessing, and if not, adjusting the water flow speed in the cooling water pipe to meet the design requirement. The mass concrete temperature monitoring method can effectively solve the problems that a temperature monitoring method cannot rapidly and accurately obtain the temperature difference inside and outside mass concrete, sensor grouping is complex and sensor information change and maintenance are complex in the prior art.

The embodiment of the invention provides a prediction method and a prediction system for cleaning a photovoltaic module. The prediction method comprises the steps that first power generation data and second power generation data of a photovoltaic module are acquired, the first power generation data are the power generation data of the photovoltaic module in a dust-free environment, and the second power generation data are the power generation data of the photovoltaic module in an actual environment; net benefits of the photovoltaic module are calculated in a preset time range according to the first power generation data and the second power generation data; and the cleaning period of the photovoltaic module is determined according to the net benefits of the photovoltaic module. According to the embodiment of the invention, the power generation comparison data of the photovoltaic modules with the same illumination and position can be accurately obtained in real time; and the corresponding net power generation benefit is accurately calculated according to the comparison data, and the monitored power generation operation data of the photovoltaic module is more scientifically calculated, so that the optimal cleaning period for cleaning the photovoltaic module can be accurately determined by utilizing the collected and calculated data.

The present invention relates to the technical field of economic operation monitoring system, especially to a trade friction early warning model based on a big data classification algorithm. The method of the model comprises the steps of: the step 1: constructing data mark and trade friction system index and trade friction system index groups; the step 2: constructing an expert scoring model; thestep 3: constructing an SVM classifier; the step 4: training a classification model; the step 5: arranging a trade friction early warning interval; and the step 6: determining an application model prediction result and an application model prediction result interval. The method provided by the invention is based on the statistics theory, combines the newest data excavation theory enforcement method, employs the expert scoring assessment model and an analytic hierarchy process and takes historical data as a basis of model construction to achieve rapid, scientific and objective calculation of atrade friction index result; and moreover, an interval classification algorithm is provided by the model to calculate a trade friction risk grade interval to provide a trade friction risk prediction for the calculated trade friction result.

The invention discloses an automatic tamping recording system for measuring the construction height of a dynamic compactor and relates to the technical field of construction production. The system comprises a dynamic compactor carrying a processor, a winch for working of the dynamic compactor, a rammer, an encoder, a cab displayer, a network transmission single-chip microcomputer, a camera set anda control relay, wherein the rammer is for working of the dynamic compactor, the encoder is installed on the winch, the cab displayer and the network transmission single-chip microcomputer are used for recording and storing, the camera set is used for infrared monitoring of safety construction recording and is used for remotely checking and synchronously recording video images, and the control relay connected with the processor is arranged on the dynamic compactor carrying the processor. The system is advantaged in that the encoder can carry out prompt recording such as lifting of the heightalarm lamp, automatic manual zero resetting and remote control can be carried out during deep hole filling, attention is needed, a switch and operation option keys needing to be manually switched andmanually released are needed, and that the construction quality is stable and reliable is guaranteed.

The invention relates to a press release fee distribution method based on a block chain, belonging to the technical field of the Internet. The method comprises the following steps of using the clientend to identify the uploaded news manuscripts and send them to the news editing center; using an editorial center to adopt several manuscripts of specific news events to edit news, and upload the manuscripts and news documents to the news examination and approval center; uploading approved documents to the press release center; enabling the news release center to pay a certain amount of contribution fee to the users who provide news articles, and calculating the contribution fee that each news article provider should get through the corresponding rules; transferring the royalties into the user's electronic wallet through the trading network, and adding the corresponding timestamp, user ID, manuscript hash code, news file hash code to the upload list and publishing to the block chain network. Based on the traceability of news release and the premise of anti-tampering, the invention scientifically distributes the manuscript fee according to the number of keywords in the news manuscript and the value amount of the news points in the keywords.

The invention discloses a day-ahead rolling optimization method for a comprehensive energy system. The method comprises the following steps: (1) acquiring energy consumption requirements of an electric load, a cold load and a heat load; (2) acquiring a real-time electricity price, a grid-connected electricity price and a natural gas price; (3) determining a user energy consumption plan, and predicting distributed power supply output and a user load; (4) calculating the total operation cost of a user in one day, non-renewable energy consumption, carbon emission reduction and a user comfort index according to a multi-objective optimization index; (5) determining the weight of each target function according to user preferences; (6) fusing target functions into a single target function; and (7) solving through a branch and bound method to obtain an optimal energy consumption plan of the user on the same day. According to the invention, the multi-objective optimization problem of economy, environmental protection, energy conservation and comfort is considered, the MIQP solving algorithm based on a B&B algorithm and a Zoutendijk feasible direction method is adopted to solve the problem,the energy flow of a user side can be optimized according to the user preferences, and the comprehensive benefits of economy, energy conservation, environmental protection and high user comfort are achieved.

The invention discloses a method for obtaining the actual SOC of a vehicle power storage battery pack, and the method comprises the steps: obtaining an SOC display value of the battery pack, and obtaining the maximum SOC of a battery monomer and the minimum SOC of the battery monomer; determining the capacity range of the display value of the SOC of the battery pack; when the SOC display value ofthe battery pack is in a first capacity range, determining the SOC actual value of the battery pack according to the maximum SOC of the battery monomer; when the display value of the SOC of the battery pack is in a second capacity range, obtaining the actual value of the SOC of the battery pack according to the maximum SOC of the battery monomer, the minimum SOC of the battery monomer, the upper and lower values of the second capacity range and a preset mathematical model; and when the SOC display value of the battery pack is in a third capacity range, determining the SOC actual value of the battery pack according to the minimum SOC of the battery monomer. The double variables of the maximum SOC of the battery monomer and the minimum SOC of the battery monomer are used for mathematical fitting of the function relation between the actual SOC of the battery pack and the SOC of the battery monomer, and the method is not limited by a charging and discharging mode, so that it is guaranteedthat calculation of the actual SOC of the battery pack is more scientific, reasonable and accurate.

The invention discloses a map symbol display method and device based on the importance of geographic entities in a text, and the method comprises the steps: firstly obtaining a description text related to a map display region, carrying out the word segmentation of the text, selecting nouns, and screening out geographic named entities; at least counting the frequency characteristic value and the aggregation characteristic value of each geographically named entity, and performing weighted summation on the characteristic values to obtain an importance value of each geographically named entity; sorting and grading the geonamed entities according to the importance values, and setting symbol visual variables according to different grades; and finally, displaying the map symbol corresponding to the geographically named entity on the map according to the set symbol visual variable value. According to the method, the importance of the geographical named entities in the text is analyzed by adopting a scientific and effective method, different symbols are selected according to importance levels to design visual variables, the single symbol expression mode of the existing geographical named entities is improved, the map reading efficiency is improved, and the map attractiveness is improved.