50results about How to "Avoid unreasonable" patented technology

The invention relates to the technical field of logistics distribution, particularly a method and a device for planning logistics distribution nodes. The method comprises the following steps: constructing a connected graph by taking demand points as nodes and a direct reachable shortest path between demand points as sides; dividing the connected graph into connected sub graphs as many as the distribution modes according to the business volume of each demand point; planning a distribution path according to each connected sub graph, and continuously updating and optimizing to obtain optimal positions of distribution nodes; calculating to obtain current operation profit; increasing the quality of the distribution nodes, repeating the steps until the operation profit gain is smaller than or equal to zero, outputting the quantity and the positions of the distribution nodes corresponding to the maximal operation profit. According to the technical scheme adopted by the invention, the distribution node planning strategy can be quantized, so that irrationality due to planning according to experience and intuition is avoided, the resources are further reasonably utilized and the distribution cost is reduced.

The invention discloses an evaluation method for photovoltaic power receptivity of a power distribution network. The method includes the following steps: firstly, creating indexes of the photovoltaic power receptivity of the power distribution network; secondly, performing magnitude unified processing on the indexes of the receptivity; thirdly, determining weights of the indexes of the receptivity. A provided comprehensive evaluation model for the photovoltaic power receptivity of the power distribution network considers many factors, the defect that an original model is high in subjectivity and single in evaluation perspective is overcome, and scientific bases are provided for selection of photovoltaic power connection schemes.

The present invention provides an adaptive potential Dirichlet model selection method and apparatus. The method comprises: initializing a experience theme number K according to a corpus scale; continuously updating the theme number K by calculating an average cosine distance similarity measure of theme-word probability distribution of an LDA model; obtaining a K value that is more suitable for a current corpus than the initial theme number by means of multiple rounds of iteration calculation; and outputting a corresponding LDA mode as a final result model. By dynamically adjusting the theme number K, a model unreasonableness problem caused by personal experience-based subjective setting is avoided to some degree and precision of the model is improved.

The invention discloses a public security patrol performance appraisal method based on a GPS (Global Position System) track. The hardware comprises a GPS track recorder and computer hardware. A brand-new, vivid and visual method is provided for the public security patrol performance appraisal by reading the track data collected by the hardware equipment of the GPS track recorder, taking example by the analysis, processing and the display function of the GIS (Geographic Information System) technology and combining to use a user widget to generate the general module of a performance appraisal report form chart map.

The invention relates to the technical field of pipe production and machining, in particular to an automatic pipe feeding and steel distribution device. The device comprises a supporting rod, a conveying structure, a lubricating structure, a material distribution structure, a buffering structure and a feeding structure; through the arrangement of the material distribution structure, pipes laid flat on the conveying structure can be singly extracted, so that the situation that the no pipe is distributed or multiple pipes are distributed during material distribution can be avoided, the one-by-one distribution efficiency of the pipes is improved, the effect of improving the production rhythm is achieved, and the buffering structure is further arranged on the material distribution structure, so that the pipes rolling down from the material distribution structure can be fully buffered, impact damage caused by direct rolling down of the pipes can be avoided, the pipes are protected, the pipes roll into the feeding structure, the pipes can be vertically conveyed through the feeding structure, it is guaranteed that a spraying production line is a pipe one-by-one spraying production line, and the pipes uniformly arranged on an arrangement bed are conveyed one by one, so that the spraying efficiency and quality can be greatly improved.

The invention discloses a transmission welding gear strength and fatigue life calculation method, including the finite element analysis modeling, the strength calculation and the fatigue life calculation. The finite element analysis modeling is to establish the finite element models of a transmission shaft, a synchronizer gear hub, a gear sleeve, a combination gear ring, a welding gear and a needle roller bearing, the strength calculation is characterized in that the top of the gear is taken as a zero point, one point is clockwise taken on a pitch circle at the gear meshing position at intervals of 20 degrees to serve as a loading position, and the stress results at different meshing positions are calculated. According to the fatigue life calculation, the fatigue life of all the torque levels is superposed according to the calculation results of the static strength at different meshing positions, so that the fatigue life of the welded gear under the corresponding load spectrum is obtained. According to the method, the accuracy of the strength calculation and the fatigue life calculation of the welded gear is improved, the defects in the prior art are overcome, the repeated researchand development are avoided, the social resources are saved, and the technical progress is promoted.

The invention discloses a safe spike sequencing and conveying mechanism. The safe spike sequencing and conveying mechanism comprises a storage hopper, a transferring device, a material arranging railand a conveying device, wherein safe spikes flow out of the storage hopper and flow into the material arranging rail through the transferring device, the material arranging rail is driven to vibrate and feed through a direct vibrator, the material arranging rail comprises an inclined bottom plate and two side plates, a spike rod groove for a spike rod to fall into is formed in the middle of the inclined bottom plate, the positions, on the two sides of the spike rod groove, of the inclined bottom plate are respectively provided with a rod falling groove communicating with the spike rod groove,the rod falling grooves are provided with guide corners, spike rods on the inclined bottom plate fall into the rod falling grooves, the guide corners guide the spike rods into the spike rod groove, the tail end of the material arranging rail is provided with a baffle and a screening port, the screening port is used for guiding safe spikes with indicating caps hung on the inclined bottom plate to pass through and be input into the conveying device for sequencing after being guided by a guide rail, a sliding outlet is arranged on the side plate positioned on the lower side of the inclined bottomplate, and the safe spikes blocked by the baffle slide out of the sliding outlet and return to the storage hopper or the transferring device through a material returning device.

A compound filter plate of a plate-and-frame type filter press pertains to the technical field of solid-liquid separation and aims at solving the problems of unreasonable structure of the filter plate and low overall stiffness and strength of the existing plate-and -frame type filter press. A plat disk scroll spiral casing is clamped and embedded in the filter plate body, the inner end head of the casing is closed, and the outer end pipe connector part is fixedly connected on a side frame of the filter plate. The structure filter plate is novel, the usage is convenient, and the compound filter plate is applicable to all types of plate-and-frame type filter presses for assembly and can be widely used in the solid-liquid separation of various materials in chemical industry, foods, medicine, metallurgy selection, environmental protection sewage treatment and other industrial fields, thus having broad popularization and application prospects.

The invention discloses a resource optimization method and device for a CEPH system. The method includes: determining the OSD equipment number of each mainframe in the mainframe set of the CEPH system as the OSD resource score of the mainframe; calculating the RAM resource score of each mainframe according to the total capacity of the OSD equipment of each mainframe in the mainframe set and the total capacity of the RAM equipment of each mainframe; calculating the mainframe resource score of each mainframe according to the corresponding OSD resource score and the RAM resource score; determining that the MON service allocation priority of the mainframes is higher when the mainframe resource scores are higher, and deploying the MON service according the priority of each mainframe. By the resource optimization method, an administrator only needs to pay attention to the deployment of the OSD equipment, the optimal MON service deploying scheme can be obtained according to the deployment of the OSD equipment, unreasonable deployment, caused by the subjective factors of the administrator, of the MON service can be avoided to a certain degree, and the deployment reasonability of the CEPH system is guaranteed.

The invention provides a method for automatically discovering key influence indexes. The method comprises the following steps: setting a specified time period for checking a target system; selecting an influence index related to the target system in a specified time period, and collecting and storing the selected influence index; carrying out pairwise correlation calculation on the collected and stored influence indexes; taking the absolute value of the correlation calculation result, and summing the correlation values of each influence index and all the other influence indexes based on the absolute value result to obtain a comprehensive correlation value of each influence index; sorting all the obtained comprehensive correlation values from large to small, and selecting first preset N maximum comprehensive correlation values; and displaying the selected first preset N maximum comprehensive correlation values and the corresponding influence indexes. The indexes which most influence thehealth condition of the system can be automatically screened out from all the indexes without manual intervention.

The invention discloses a method for automatically scoring in steps in a computer test and a system thereof. The system is characterized in that: an input end of a data or process analysis unit is a characteristic data interception unit, the output end of the data or process analysis unit and a grading characteristic table unit are respectively two input ends of a grading unit; the output end of the grading unit is connected with a server. The concept of the invention is that a step characteristic table containing step information and a grading characteristic table containing the scoring information in steps are firstly constructed, then the characteristic information of an examinee in answering is acquired in real time by using an API HOOK characteristic data interception method, and the characteristic information is matched with the step characteristic table and the grading characteristic table to finally obtain the score in steps. The method can automatically score in steps.

The invention discloses a video signal source automatic switching method, which comprises the following steps that whether access signal wires in a polling list input activity signals or not is monitored; a television video signal source is switched to an access signal wire inputting activity signals; the access signal wire inputting the activity signals are deleted from the polling list. Correspondingly, the invention also provides a television, which comprises a function module capable of executing the functions. The invention provides a method for monitoring the access signal wire inputting the activity signals by using software modules and automatically switching to the latest activity signal accessing access signal wire, the problem of unreasonable video signal source setting of the television according to the priority when hardware is adopted for realizing the automatic video signal source switching is avoided, the complexity of television CPU (central processing unit) peripheral circuits and the design difficulty of a PCB (printed circuit board) are reduced, and the problem that the hardware realization technology can be greatly limited when CPU idle lead pins are fewer is avoided.

The invention, which belongs to the related technical field of milling processing, discloses a multi-grid cutter shaft optimization method based on density clustering. The optimization method comprises the following steps: (1), carrying out standardization processing on a cutter contact coordinate to solve a problem of an unreasonable clustering result caused by unreasonable variation value of thearc length; (2), carrying out density clustering on a cutter contact after standardization processing; and (3), calculating a coarse grid corresponding to the cutter contact based on an obtained clustering group, optimizing cutter shafts of coarse grid points based on the coarse grid, establishing a refined grid between every two adjacent coarse grid points, optimizing cutter shafts of the refined grid points based on all refined grids, and thus completing cutter shaft optimization. According to the invention, standardization processing and density clustering are carried out on the cutter contacts successively; and the cutter shafts after overall optimization are obtained by integration of coarse grid optimization and refined grid optimization. Therefore, the convergence speed of the algorithm is greatly improved while the cutter shaft optimization effect is not reduced; and the practicability is high.

The invention relates to the field of floor comfort testing, in particular to a floor vibration comfort preliminary testing method based on a heart rate change. The method comprises the steps of obtaining a heart rate standard value of a tester on a standard vibration frequency floor, wherein the heart rate standard value is used for reflecting the comfort level brought to the tester by the standard vibration frequency floor; obtaining a heart rate reference value of the tester on a to-be-tested floor, wherein the heart rate reference value is used for reflecting the comfort level brought to the tester by the to-be-tested floor; if the heart rate reference value is smaller than or equal to the heart rate standard value, determining that the comfort index of the to-be-detected floor is qualified, otherwise, determining that the comfort index of the to-be-detected floor is unqualified. The comfort level of the tester on the floor with the standard vibration frequency serves as a reference standard, the comfort level of the tester on the to-be-tested floor with an unknown vibration frequency is compared with a standard comfort level, whether the to-be-tested floor reaches the standardor not is judged, and the discomfort of residents due to the fact that substandard floors are adopted in a building is prevented.

The invention discloses a method for determining a longitudinal dispersion coefficient based on a space-time matching tracer test of sampled data, comprising the steps of firstly, selecting a representative river section from a natural river to measure hydrological parameters thereof, and determining a reasonable sampling station according to the mixing-length theory; secondly, capturing a concentration peak, and determining a sampling time series matched with the concentration peak; thirdly, carrying out a tracer test, and sampling at a downstream station to obtain a corresponding concentration data sequence; and finally, solving an optimization problem by using a river water quality model coupled golden section method to calculate an optimal solution, i.e., the longitudinal dispersion coefficient of the river. The sampling time matches well with the sampling position, invalid data sampling at the initial stage and long tail stage of a skewed distribution curve is discarded, the sampling cost is saved while the parameter estimation accuracy is satisfied, the shortcomings of subjectivity and strong human intervention in the traditional method are overcome, and a key technical support is provided for accurately and quickly determining the longitudinal dispersion coefficient of the river and improving the precision of the water quality model.

The invention discloses a steel structure curtain wall positioning and mounting deviation rectifying method based on BIM three-dimensional laser scanning. The method comprises the steps of collectingfield data of a civil structure, and determining three-dimensional coordinates of an original point of the civil structure; guiding the collected field data into BIM software to build a three-dimensional model of the civil structure; designing a model of a single curtain wall unit in the BIM software; simulating mounting of the curtain wall on the three-dimensional model, and judging whether collision exists between the adjacent curtain wall units; generating coordinates of each curtain wall unit, mapping the coordinates on the civil structure, and according to the coordinates of each curtainwall unit, mounting a curtain wall on the civil structure; S600, collecting the field data of the civil structure with the curtain wall again, guiding the data into the BIM software to be compared with the three-dimensional model of the civil structure with the curtain wall, screening out the curtain wall units with mounting which does not fit the rule, and performing remounting. The mounting precision of the curtain wall is greatly improved, and irrationality of curtain wall design and mounting positions can be avoided.

The invention discloses a warehouse division planning method and device. The method comprises the following steps: obtaining alternative warehouse separation addresses and historical data of a user; wherein the historical data comprises historical sales data within a first set duration and total cost and average delivery time corresponding to the historical sales data; determining a plurality of groups of candidate warehouse combinations according to the alternative warehouse dividing addresses; based on the historical sales data, respectively selecting at least one optimal warehouse combination from each group of candidate warehouse combinations; and screening the plurality of selected optimal warehouse combinations according to the total cost and the average delivery time corresponding to the historical sales data, and determining a warehouse division planning scheme of the user. According to the technical scheme of the embodiment of the invention, the warehouse division planning decision can be quantified, unreasonableness caused by planning depending on experience and intuition is avoided, resources are further reasonably utilized, and the distribution cost is reduced.

The invention discloses a dynamic acquisition method and device for subsidy data. The method is implemented circularly by taking a preset time interval as a subsidy cycle. The method comprises the following steps: acquiring subsidy data and transaction data in a previous subsidy cycle of a merchant; judging whether the income generated by subsidy meets a preset income target or not according to the transaction data; and if not, adjusting the subsidy data in the previous subsidy cycle to obtain subsidy data in a current subsidy cycle. The subsidy is dynamically and circularly adjusted accordingto the subsidy cycle, and the subsidy data in the current cycle are adjusted according to the transaction data generated in the previous subsidy cycle of the merchant so as to attract more consumersto shop for consumption and make the benefits generated by the subsidy larger. Adjustment is performed according to actual transaction data generated by the merchant, thereby avoiding the unreasonablemanual setting of the subsidy data, and saving the time spent by manual setting, which is more efficient and fast.

The invention relates to a post-disaster island division method considering the importance degree of information-energy coupling nodes. The method comprises the following steps: 1) constructing a two-network coupling model of an electric power communication network and an electric power network; 2) adopting a multi-angle and multi-index and subjective and objective combined evaluation method to obtain an information-energy coupling node importance degree; and 3) constructing an island division model according to the information-energy coupling node importance to perform active power distribution network post-disaster island division. Compared with the prior art, the method has the advantages of effectively avoiding evaluation from a single angle of information or energy, effectively obtaining system state information, improving the capability of the system to cope with natural disasters and the like.

The invention provides a solar daylighting skylight photovoltaic glass panel temperature control cooling device which comprises a water conveying pipe frame strip, a water collecting tank frame strip, a water guide frame strip and a waterproof sealing structure which are assembled and combined into a closed frame body, and the closed frame body is matched with at least one solar daylighting skylight photovoltaic glass panel in shape and size. The water storage tank is fixed on the outer periphery of the photovoltaic glass panel in use, and a water containing space is formed on the upper surface of the photovoltaic glass panel. The cooling device provides jet water flow on the outward glass surface of the photovoltaic glass panel for cooling, solves the problem of unreasonable arrangement of a cooling structure heat transfer system in the prior art, also cleans the outer surface of the photovoltaic glass panel, and is beneficial to improving the sunlight receiving efficiency of the photovoltaic glass panel; the cooling effect is good, the original appearance modeling of the lighting window is not interfered at all, and the cooling device does not influence the attractiveness of the original design at all. The invention further provides a cooling method.

The embodiment of the invention provides a convolutional neural network construction method and device, equipment and a medium. The method comprises the steps: determining a to-be-replaced convolutionmodule from an original convolutional neural network, the to-be-replaced convolution module comprises a plurality of convolution layers, and there is a direct connection branch between the input endand the output end of the to-be-replaced convolution module; replacing the convolution module to be replaced with a receptive field adaptive module to obtain a target convolutional neural network, thereceptive field adaptive module being used for respectively generating corresponding weight values for a plurality of receptive fields so as to process the feature maps of the plurality of receptivefields, and outputting the processed feature maps; wherein the sum of the output of the receptive field adaptive module and the output of the direct connection branch is the input of the next convolution module to be replaced.

A method for evaluating comprehensive performance of tourmaline modified asphalt and optimizing proportion of tourmaline modified asphalt comprises the steps of selecting 16 technical indexes, such asthe penetration index, penetration, equivalent softening point, ductility (10 DEG C), equivalent brittle point, penetration aging ratio, softening point increment, ductility aging ratio, adhesion grade, emission reduction rate, oxygen index, NOx purification rate, HC purification rate, CO2 purification rate, CO removal rate, the material cost, etc., as the evaluation indexes, combining multi-factor test with efficacy coefficient, systematically analyzing the basic properties, environmental efficacy, economic benefit and comprehensive performance of low-carbon modified asphalt, so that the method is strong in practical operability and reliability, avoids the one-sided evaluation, and provides a new idea for the comprehensive performance evaluation of tourmaline modified asphalt.

The invention discloses a Natch risk calculation method and system for a coupling probability model and an information diffusion method, and belongs to the technical field of risk calculation of technical accidents caused by natural disasters. To solve the problem of insufficient Natch risk calculation accuracy of a large-scale region in the prior art, the invention provides a method, a coupling probability model and an information diffusion method for calculating the natural disaster probability, different types of Natch environmental event risks are analzyed by gridding, the equipment failure probability is calculated under the natural disaster and Natch risk probability is futher calculated. According to the risk calculation method, the problem of low Natch risk assessment precision of a large-scale region is solved, high-risk hot spot regions can be identified, priority management of Natch risks is realized, and a direction is provided for reducing the Natch risks.

The invention relates to a craniocerebral CT angiography image processing method and device, a medium and an electronic device. The method comprises the following steps: performing three-dimensional contour extraction on brain tissues in a target craniocerebral CT angiography image to obtain a three-dimensional brain tissue image; inputting the three-dimensional brain tissue image into a pre-constructed segmented model to obtain an initial segmented blood supply area image; acquiring a hidden space including the anatomical features of the segmented blood supply area; and correcting the initial segmented blood supply area image according to the hidden space. In this way, the multiple segmented blood supply areas can be automatically obtained only by inputting the three-dimensional brain tissue image corresponding to the target craniocerebral CT angiography image into the segmentation model, and the segmentation efficiency is remarkably improved. Besides, the hidden space including the anatomical features of the segmented blood supply area is fused into the correction process of the segmentation result, so that the problem that the segmentation result is unreasonable in the aspect of the anatomical structure due to the fact that the segmentation model cannot learn the anatomical features of the segmented blood supply area in the training stage can be avoided, and the segmentation precision is guaranteed.

The embodiment of the invention provides course recommendation equipment and method. The equipment comprises a memory, a processor and a computer execution instruction which is stored in the memory and can run on the processor, and when the processor executes the computer execution instruction, the following steps are realized: obtaining the number of target students according to the promotion time of each student in a target course; determining a student promotion rate of the target course according to the number of the target students; determining a performance improvement rate of the targetcourse according to the performance information of each student responsible range in the target course; judging whether the target course is a to-be-recommended course or not according to at least one of the student promotion rate and the performance improvement rate; and if the target course is the to-be-recommended course, recommending the target course, thereby enabling related departments orbranch companies to refer to the target course, and forming a relatively good reference system.

The invention provides an incomplete information reasoning method with a mode switching mechanism. The incomplete information reasoning method comprises the following steps: selecting effective attribute information, determining a decision variable, and constructing a modular switching reasoning evidence network model; determining an identification framework, and initializing a network model; calculating and initializing a reliability distribution function among the node variables according to the logic relation of the node variables; carrying out completeness degree judgment on the input evidence at the current reasoning moment, selecting an input mode in combination with an evidence type, carrying out evidence reliability function correction according to the input mode, and adjusting the network model; inputting the correction evidence, adaptively adjusting node weights and updating a reliability distribution function between the nodes; carrying out network reasoning by using a three-step space-time fusion mechanism to obtain probability distribution of decision variables under an identification framework of the decision variables; a normalized mathematical expectation of the decision variable is calculated. In the face of a complex decision problem under mixed incomplete information, a continuous and accurate reasoning result can be given, and the autonomy and intelligence of a decision system are comprehensively improved.