15results about How to "Overcome uncertainty" patented technology

The invention provides an urban underground space high-precision detection method, system and device and a storage medium, and relates to the technical field of geological exploration. The method comprises the following steps: acquiring reflection seismic data, high-resolution electromagnetic response data, environmental noise data, well-side seismic data and logging data of a target area, and performing refined processing on the reflection seismic data, the high-resolution electromagnetic response data, the environmental noise data, the well-side seismic data and the logging data to obtain multi-source multi-scale detection data; performing constraint condition extraction based on the multi-source multi-scale detection data to obtain a multi-source constraint condition, and constructing an urban underground space three-dimensional information model based on the multi-source constraint condition and the multi-source multi-scale detection data; and performing data mining based on the urban underground space three-dimensional information model to obtain three-dimensional geological data. According to the scheme, the accuracy of urban underground space detection can be improved.

The invention provides an ancient building adaptive composite fire detection alarm model construction method, and relates to the field of fire detection, and the method comprises the following steps: firstly, carrying out on-site survey to obtain an ancient building structure and internal decoration combustibles and layout, and employing a cone calorimeter to measure the combustion performance parameters of building materials and decorations; then, FDS software is adopted for conducting three-dimensional modeling and computational grid division, boundary and condition setting, fire point and fire source power setting, detection point position setting and the like on the internal space and display of the historic building, and data sets of CO concentration, CO2 concentration, O2 concentration, smoke shading rate and temperature parameter changes in the fire occurrence and development process are obtained through numerical simulation calculation; and finally, learning and training the initial multi-characteristic parameter data of the fire through a BP neural network, continuously correcting and optimizing in application, and constructing a self-adaptive fire alarm model, thereby more accurately and comprehensively sensing the fire of the ancient building, and realizing accurate early warning of the early fire.

The invention discloses a preparation method of bryophyte-based full-microporous carbon. The preparation method comprises the following steps: 1) simply chopping bryophyte and then naturally airing the bryophyte; 2) dipping the naturally aired bryophyte in a potassium hydroxide solution, then fishing out and naturally airing again; (3) firing the soaked and naturally aired bryophyte in a protective atmosphere to obtain primary charcoal; and 4) washing the primary charcoal with a hydrochloric acid solution and water until the primary charcoal is neutral to obtain activated carbon with the micropore content of 100%, namely the bryophyte-based full-micropore charcoal. According to the preparation method, the bryophyte with high water content serves as a carbon source, the carbon material with the micropore content being 100% is obtained through firing, the produced carbon has the advantages of being large in specific surface area, high in pore volume, high in nitrogen and oxygen doping level and the like, and when the carbon is applied to the capacitive energy storage material, high specific capacitance can be kept under the high-rate charging and discharging conditions. The method provided by the invention has the advantages of stable raw material supply, low raw material and production cost, simplicity in operation and easiness in large-scale production when being used for producing the carbon material.

The invention discloses a method for identifying the occurrence state of water in urban sludge by using extracellular polymeric substances, relates to a method for identifying the occurrence state of water in sludge, and aims to solve the technical problem that the existing method for testing the distribution of water in sludge is poor in accuracy, and the method comprises the following steps of: extracting an extracellular polymeric substance solution of urban sludge, and testing the total organic carbon content in the extracellular polymeric substance solution; or the ratio of the hydrophobic organic matter to the hydrophilic organic matter, or the content of protein, or the content of polysaccharide, or the content of humic acid, or the fluorescence intensity value of tryptophan protein, or the fluorescence intensity value of tyrosine protein, or the proportion of alpha-helix of a protein secondary structure, or the proportion of beta-corner, or the proportion of beta-helix of a protein secondary structure; the content of the free water, the chemical bound water and the mechanical bound water is calculated according to the relation curve between the parameters and the free water and the chemical bound water, the quantification precision is high, the detection precision of the sludge dewatering performance is improved, and support is provided for the sludge dewatering process.

The invention relates to the technical field of coal mine safety mining and roof disaster prevention and control, and discloses a roof directional long drill hole hydraulic fracturing multi-parameter effect discrimination method, which comprises the following steps of: firstly, constructing a multi-element heterogeneous integrated comprehensive discrimination system, and arranging micro-seismic, transient electromagnetic, drill hole peeping, bracket resistance and other monitoring units; acquiring surrounding rock background data before fracturing; real-time dynamic monitoring is carried out by utilizing pressure flow, reverse water and micro-shock during fracturing; carrying out static comparison and judgment by utilizing transient electromagnetism and peeping after fracturing; and the pressure relief effect is verified through support resistance and micro-seismic data in the stoping stage. And finally, performing cross validation from the dimensions of fracturing radius, pressure relief effect and water injection effectiveness based on multi-parameter data. According to the method, double-time-period accurate monitoring during fracturing and recovery is achieved, the limitation of single-means evaluation is overcome, and the comprehensiveness and accuracy of roof fracturing effect judgment are improved.

The invention discloses a wind-light-electricity coordinated scheduling method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring a load demand predicted quantity of a current power consumption unit when a scheduling opportunity is reached; determining a target scheduling strategy of wind-light-electricity scheduling according to the load demand prediction quantity of the power consumption unit, a preset wind-light-electricity coordination model and constraint conditions; performing wind, light and electricity scheduling according to scheduling parameters included in the target scheduling strategy; wherein the scheduling parameters comprise one or more of the following items: the output of the self-generating unit, the purchased electric quantity and the sold electric quantity; the self-generating unit comprises a wind power generation unit and / or a photovoltaic power generation unit; an objective function included in the wind-light-electricity coordination model is a first weighted sum of one or more of the following sub-objective functions: a lowest energy consumption sub-objective function, a lowest economic cost sub-objective function and a self-generation waste rate sub-objective function.

The application discloses a kind of based on reinforcement learning's failed spacecraft attitude quick adjustment method, comprising: step S1, based on spacecraft attitude end constraint, establish failed spacecraft attitude mathematical model and constraint model;Step S2, based on Long-term performance index function in reinforcement learning algorithm, establish evaluation standard and Critic network;Step S3, based on Backstepping control framework combines Action network and the Critic network, establish adaptive control method, to control failed spacecraft into end constraint domain.The application realizes the quick attitude adjustment of failed spacecraft before attitude motion evolution, enters predetermined ignition maneuver pointing.

The present application relates to the technical field of device testing method, and particularly relates to a kind of integrated vacuum pump testing method, comprising the following steps: establishing adsorption saturation state in closed test cavity, including filling mixed gas into test cavity, gradually reducing the temperature of cavity wall of test cavity, so that gas molecules are adsorbed on the inner wall of cavity;Apply sudden load to the vacuum pump to be tested, including starting the vacuum pump while triggering the infrared heating module, so that the temperature of the cavity wall of the test cavity rises to a predetermined temperature at a predetermined heating rate;Collect desorption dynamic parameters to generate desorption characteristic values, including real-time monitoring of gas release during the desorption process, combining desorption time constant and average vacuum, to calculate the release rate of adsorbed gas.The present application improves the accuracy and repeatability of evaluating the weak gas handling performance of the vacuum pump, and is suitable for quality detection and dynamic performance comparison analysis of high-sensitivity vacuum devices.

The present application relates to the technical field of drying furnace, and particularly relates to a design method for reducing energy consumption of starting of a drying furnace, which comprises the following steps: obtaining an ambient temperature of the drying furnace; inputting the ambient temperature into a pre-trained temperature rising time length prediction model to obtain a predicted temperature rising time length; calculating an optimal starting time point of the drying furnace based on the predicted temperature rising time length and a preset target process temperature reaching time; starting the drying furnace at the optimal starting time point; compiling the temperature rising time length prediction model into an executable program and embedding the executable program into a manufacturing execution system; outputting the calculated optimal starting time point through a man-machine interaction interface of the manufacturing execution system to prompt an operator to start the drying furnace according to the optimal starting time point. The present application can accurately predict the temperature rising time length according to the current ambient temperature and then determine the optimal starting time point, so as to reduce the energy consumption of the starting stage of the drying furnace.

A method for inverting a formation wave impedance using DAS borehole seismic data, comprising: acquiring an initial magnitude at a time window after the initial arrival time of seismic wavefield data in a well (101); mapping the initial magnitude to a relative wave impedance (102); and correcting the relative wave impedance to obtain an inverted wave impedance (103). Also provided are an apparatus for inverting a formation wave impedance using DAS borehole seismic data, a device, and a computer-readable storage medium. wavefield

The invention provides an optimization method and device for a man-machine cooperation assembly production line, and the method comprises the steps: analyzing the steps of the man-machine cooperation assembly production line, and determining a target step; determining a plurality of candidate man-machine cooperation schemes corresponding to the man-machine cooperation assembly production line based on the plurality of candidate scheme options corresponding to the target process step; based on a predetermined criterion, determining an index value corresponding to each candidate man-machine cooperation scheme under each criterion, and performing normalization calculation based on the index values to obtain a score corresponding to each candidate man-machine cooperation scheme under each criterion; and calculating according to the score of each candidate man-machine cooperation scheme under each criterion and a predetermined weight value corresponding to each criterion to obtain a final score of each candidate man-machine cooperation scheme, and determining an optimal scheme in the candidate man-machine cooperation schemes according to the final score. Therefore, a more scientific and systematic evaluation method is provided.

The application relates to the technical field of vehicle-mounted data processing, and provides a vehicle-mounted multi-source data fusion processing method and system, which comprises the following steps: according to logical association, identifying contradictory items existing in an environment understanding graph structure, and quantifying the degrees of the contradictory items to obtain contradiction degrees; obtaining the degree of conformity between a preliminary environment interpretation result and a preset rule; according to reliability scores, contradiction degrees and the degree of conformity, judging the root sources causing the contradictory items; applying weight reduction processing to the root sources to reduce the reliability scores corresponding to the root sources, and updating the confidence labels of nodes or logical associations of the environment understanding graph structure based on the reduced reliability scores to obtain the weight-reduced environment understanding graph structure, so as to complete vehicle-mounted multi-source data fusion processing; the nodes of the environment understanding graph structure are environment element nodes, which are used for representing the categories and spatial attributes of corresponding environment elements. The application has the effect of improving the decision-making capability of an intelligent driving vehicle.

The invention discloses a micro-seismic event first arrival pickup method and system based on dynamic time warping in the technical field of geophysical exploration, which are used for picking up seismic phase first arrival of a micro-seismic event according to a to-be-processed waveform, and comprises the following steps: step 1, detecting the to-be-processed waveform and carrying out denoising processing; 2, calibrating the time difference of the waveform to be processed; step 3, carrying out superposition processing on the waveform to be processed; 4, picking up the first arrival of the waveform to be processed; 5, comparing relative arrival time; 6, verifying the position of the detector; and 7, adjusting calculation parameters. The method can effectively improve the accuracy of microseism seismic phase first arrival pickup, reference oscillation waves are emitted through multiple oscillation generators at fixed positions, the position of a detector is verified based on a time difference of arrival positioning algorithm, to-be-processed waveforms are superposed after time difference calibration, first arrival pickup is performed on to-be-processed waveform superposition channels through a long-short time energy ratio method, and the accuracy of microseism seismic phase first arrival pickup is improved. Influences of individual inter-channel information errors are reduced, and the reliability of microseism seismic phase identification and first arrival pickup is improved.

This invention discloses a method and system for calculating the strength of surrounding rock based on the equivalent support reaction force of prestressed anchor bolts, relating to the field of surrounding rock data processing technology. The method includes: acquiring the initial mechanical parameters of the surrounding rock, tunnel excavation parameters, and anchor bolt support design parameters; calculating the cohesion increment, the elastic modulus of the anchor bolt-surround rock composite structure, and the equivalent support reaction force based on the design parameters; superimposing the cohesion increment with the initial cohesion of the surrounding rock to obtain the total cohesion; applying the equivalent support reaction force as a boundary condition to the bearing arch model; calculating the rock mass strength safety factor, the anchoring system efficiency coefficient, and the comprehensive deformation stability coefficient in parallel; and synthesizing the rock mass strength safety factor, the anchoring system efficiency coefficient, and the comprehensive deformation stability coefficient to obtain the final surrounding rock strength safety factor. This invention, through quantitative analysis, reduces the possibility of engineering risks and provides technical support for the special and complex engineering type of large-span tunnels.

The present application provides a method, system, equipment and storage medium for high-precision detection of urban underground space, which relates to the field of geological exploration technology. The method includes: obtaining reflection seismic data, high-resolution electromagnetic response data, environmental noise data, wellside seismic data and well logging data in the target area, and performing fine processing on the reflection seismic data, high-resolution electromagnetic response data, environmental noise data, wellside seismic data and well logging data to obtain multi-source multi-scale detection data; extracting constraints based on the multi-source multi-scale detection data to obtain multi-source constraints, and constructing a three-dimensional information model of the urban underground space based on the multi-source constraints and the multi-source multi-scale detection data; performing data mining based on the three-dimensional information model of the urban underground space to obtain three-dimensional geological data. The above scheme can improve the accuracy of urban underground space detection.