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 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.

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 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 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 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.

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.