75results about How to "Reduce trial and error costs" patented technology

The invention discloses a tunnel digital twinning scene construction method and computer equipment, relates to the technical field of traffic informatization, and is used for analyzing complex problems in tunnel traffic operation and providing corresponding solutions. The tunnel digital twinning scene construction method comprises the steps of model initialization, panoramic monitoring, data aggregation, data analysis, physical parameter updating, behavior parameter updating, geometric model updating, redisk verification, simulation analysis, prediction deduction, auxiliary decision making, feedback control and iterative interaction optimization. The computer equipment is used for executing the tunnel digital twin scene construction method.

The embodiment of the invention provides a login mode pushing and displaying method, device and equipment, and the method comprises the steps: enabling a server to receive a login request sent by a client in the login mode pushing method; wherein the login request at least comprises a login account of the user and environment information, and if the login account is a registered account, acquiringbehavior habit data of the login account in a past period of time, inputting the environment information and the behavior habit data into the login mode prediction model to predict a login mode applicable to the user, and pushing an applicable login mode to the user through the client.

The invention discloses a design method of an electromagnetic interference filter capable of suppressing the resonance. The method comprises the steps of obtaining difference / common mode interferencevoltage and interference source internal resistance of the inverter through an inverter interference source model; calculating to obtain insertion loss required by a system, then selecting a filter topology, extracting element parameters of a differential / common mode filter by adopting an optimization algorithm, and simulating to obtain an optimal filter element value under the condition of considering high-frequency equivalent parasitic parameters of a filter device. According to the invention, filter manufacturing and experimental verification are carried out according to element parameter values obtained by simulation; analysis of filtering effect, high-frequency equivalent model combined with filter, finding out a filter self-resonance frequency point; the problem that common-mode EMIof part of frequency points exceeds the standard is solved by adding damping resistors, the trial and error cost in the filter design process is reduced, quantitative design of the EMI filter is achieved, key parts causing EMI exceeding the standard are accurately positioned by analyzing a system high-frequency equivalent model, and the optimal design of the filter is achieved.

The invention discloses a SaaS mode based multi-organization collaboration platform. The platform includes: (1) process smooth connection among tenants; (2) master data object definition; (3) system preset modules and user-defined modules; (4) front-end framework; (5) online page editing; (6) page displaying; (7) menu definition; (8) role definition; (9) permission definition; (10) instant communication embedding; (11) material BOM editing; (12) server. Efficiency in inter-organization upstream and downstream collaboration is improved; the front-end framework is capable of directly generatingfront-end codes, and high efficiency and extremely low trail-and-error cost are realized; software engineering flow changing, innovation cost reduction and exploring period shortening are realized; own ideas can be realized as long as another programmer joins in; micro-innovation efficiency of enterprises is improved, and trail-and-error cost is reduced.

The invention discloses a graphical wideband fault end-to-end diagnosis method, and belongs to the technical field of mobile home wideband operation and maintenance. The method comprises the following steps: graphical representation of a wideband access equipment connecting relation, a running state representation of access equipment and a connecting line, and the representation of a debugging processing suggestion corresponding to a fault scene; the method disclosed by the invention has no need of mass data filling, tedious database and equipment instruction query judgment, only needs to graphically represent each equipment connecting relation of the upward association of a wideband account, thereby judging a fault position. Starting with a user dimension, the rich client technology Flex is combined so as to provide a fast diagnosis method relaying on front-line maintenance experience of the installer and maintainer.

The invention relates to the field of member operation and marketing, in particular to a global member management application system, a global member management system and a global member management method. The application system comprises a member management module, a potential user management module and a member distribution management module. The potential customer management module acquires potential customer data through multiple channels, analyzes the potential customer data, and coverts potential customers into members; the member management module is used for integrating and managing member data of existing members and members converted by the potential customer management module, and sending the data integration result to the member distribution management module; and the member distribution management module acquires member data of members capable of performing distribution operation according to the data integration result, and manages and maintains basic information data, distribution data and distribution user relationships of the members, thereby realizing universal member operation. According to the invention, clients in multiple channels can be effectively managed,consumption information of the clients can be accurately and completely recognized, and the sustainable operation capability of enterprises for the clients is improved.

The invention provides a stamping forming method of a small-caliber and deep-cavity cap-shaped support. The stamping forming method comprises the steps of constructing a transition stamping part; determining a first-time stamping forming transition die structure; determining a second-time stamping forming die structure; performing first-time stamping forming; performing second-time stamping forming; and performing trimming and cutting. The method for determining an appearance structure of the transition stamping part is provided, calculation is easy, the machining difficulty of the small-caliber and deep-cavity part is lowered, mechanical forming of a limit blank is achieved, and the method has important practical value.

The invention provides a laboratory simulation device and method for producing a calcium silicate board through a flow slurry method and a Hatschek method. The device comprises metering devices, a stirring device, a static curing device, an autoclaved curing device and a drying device, and the device further comprises a suction filtration device used for conducting suction filtration and dehydration on stirred and mixed calcium silicate board slurry to form small material layers, a blank moving device used for moving the small material layers into a molding mold and a pressure molding device used for conducting pressurizing molding on the multiple stacked small material layers. The device can completely and truly simulate the process of preparing the calcium silicate board through the flowslurry method and the Hatschek method, and can assist in analyzing the generating reasons of all defects of the board in practical production and exploring solving methods; and the molding method comprising the steps of multiple times of vacuum suction filtration and dehydration, stacking and pressurizing can truthfully reflect the small material layer vacuum water filtering and small material layer stacking and pressurizing molding process of a linear board making machine in the industrial production board making process, and can assist in analyzing the board delamination reasons in actual production and exploring solving methods.

The invention provides an information processing method and apparatus. The method comprises the steps of collecting first feature information of an object entering a direct broadcasting room; according to the first feature information of the object, obtaining a first probability of generating a target event in a first popularization platform by the object, and a second probability of retaining theobject in the first popularization platform; based on the first probability and the second probability, determining a first numerical value of the object; and according to the first numerical value,determining discount information corresponding to operation of generating the target event in the first popularization platform by the object. Therefore, personalized discount information is given todifferent objects; the pertinence is strong; and the trial-and-error cost of the object in the first popularization platform is reduced. Moreover, the first popularization platform is displayed to theobject through the direct broadcasting room, so that the understanding of the object to the first popularization platform can be improved and the trial-and-error cost of the object in the first popularization platform can be further reduced. Therefore, the problems of poor personalization and high trial-and-error cost of a mode for giving the same discount to users in related technologies are solved.

The invention discloses a method and a system for determining a filtering factor of a hydro-thermal power frequency division control AGC system, and the method comprises the steps: setting a power grid to be in a non-frequency division adjustment mode, determining a thermal power generating unit frequency modulation filtering factor alternative value according to a steady-state frequency modulation result, and determining a hydro-thermal power generating unit frequency modulation filtering factor alternative value according to a disturbance frequency modulation result; setting the power grid to be in a frequency-division adjusting mode; setting a filtering factor of the AGC system according to the current alternative value of the thermal power generating unit frequency modulation filteringfactor and the alternative value of the hydroelectric generating unit frequency modulation filtering factor; and performing a simulation test to obtain a secondary frequency modulation result of theAGC system to the power grid in the frequency division regulation mode, and determining the optimal value of the filter factor of the hydro-thermal power frequency division control AGC system according to the secondary frequency modulation result. According to the method, the filtering factor of the AGC system is accurately and efficiently determined through a simulation means, the dependence of parameter configuration on previous operation experience of a previous power grid is reduced, an optimal solution can be quickly given, the optimal frequency modulation performance of the frequency modulation unit is fully exerted, and the trial and error cost during trial operation is reduced.

The invention provides a multi-channel intelligent advertisement putting method and device and electronic equipment. The method comprises the following steps: acquiring multi-channel historical delivery data, and fitting a calculation relationship between an obtained customer amount and a piece average cost according to the historical delivery data of each channel so as to establish a combined model which comprises calculation models of a plurality of channels; determining a target customer obtaining amount according to user input, and automatically calculating an optimal delivery strategy ofeach channel by adopting the combined model, the delivery strategy being used for controlling the average cost of each channel; and according to the optimal delivery strategy of each channel, automatically carrying out multi-channel network advertisement delivery. Trial and error cost of an advertiser is reduced, the balance point of the channel and the cost target is quickly found, the delivery cost is efficiently controlled, and the delivery efficiency is improved.

The invention provides a shop sales data analysis method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining a first designated region image, and carrying out the face detection of the first designated region image, and obtaining first face statistical data; acquiring a second specified area image, and performing face detection on the second specified area image to obtain second face statistical data; acquiring a third specified area image, and performing face detection on the third specified area image to obtain third face statistical data; obtaining a fourth designated area image, and performing face detection on the fourth designated area image to obtain fourth face statistical data, the fourth designated area being located in a cashier area of the shop; and performing sales analysis on the shop according to the first face statistical data, the second face statistical data, the third face statistical data and the fourth face statistical data. The method and device can help a shop to reduce the trial and error cost in the purchase process.

The invention provides a polycrystalline material plate frame piece finish machining method based on internal residual stress nondestructive measurement. The problem that deformation is out of tolerance in existing polycrystalline material plate frame piece machining is solved. The method mainly comprises the steps of carrying out nondestructive testing on residual stress and distribution of the residual stress of different parts in a to-be-processed metal plate, marking a residual stress risk area causing deformation out-of-tolerance, designing and processing an envelope surface, calculating the envelope surface with the minimum deformation amount, planning a processing path and cutting the plate in sequence, and measuring and evaluating whether the deformation is out-of-tolerance or not. And the cutting machining process is optimized. The method of testing, theoretical analysis and actual measurement of machining deformation is used for solving the problem, the cost of labor, financial resources, time and the like can be greatly reduced, and good economic benefits are achieved.

The invention discloses an integral lifting construction method for an aluminum panel curtain wall of a super-large double-curvature integrated unit. The integral lifting construction method for the aluminum panel curtain wall of the super-large double-curvature integrated unit is suitable for the integral lifting construction of the aluminum panel curtain wall of the super-large integrated unit and particularly suitable for the integral lifting construction of the aluminum panel curtain wall of the super-large integrated unit with double curved surfaces. The method mainly comprises the following construction characteristics of a construction technology for an integral assembly scaffold platform of the super-large integrated unit, an integral BIM analog analysis technology of the super-large integrated unit and an integral lifting technology of the super-large integrated unit. The construction method in the scheme is suitable for the construction of the super-high and super-span aluminum panel curtain wall. By adopting the integral lifting type suspending technology, the method not only can effectively ensure construction safety and construction period, but also can save construction cost.

The invention provides an information search method and device, computer equipment and a storage medium, and the method comprises the steps: receiving initial query information input in a search box, wherein the initial query information comprises any one of characters, keywords and keywords; and displaying association query information and a live broadcast identifier corresponding to the initial query information at a preset position except the search box, wherein the live broadcast identifier is used for indicating that the multimedia content corresponding to the associative query information is in a live broadcast state. According to the method and the device, the condition that trying to search the query information is initiated under the condition that whether the corresponding live broadcast content exists or not is not determined is avoided, the trial and error cost of searching the live broadcast content is reduced, the live broadcast content query efficiency is improved, in addition, the interested association query information with the live broadcast identifier can be directly selected in the search page, the corresponding live broadcast content is triggered to be opened, and thus the efficiency of obtaining the live broadcast content which the user wants to watch is improved.

The embodiment of the invention provides a test method for a full duplex voice interaction system. The method comprises the following steps: mixing an effective corpus set related to a test scene with an invalid corpus set irrelevant to the test scene, and determining a scene mixed corpus set; playing each corpus audio in the scene mixed corpus set to a to-be-tested voice interaction device carrying the full-duplex voice interaction system; obtaining a work log of the to-be-tested voice interaction device, wherein the work log at least comprises a first log and a second log; and counting the number of logs which are expected not to output the response decision result but actually receive the response decision result in the second log to obtain the false response frequency, and determining the false response rate based on the false response frequency and the total number of the played corpus audios. The embodiment of the invention also provides a test system for the full-duplex voice interaction system. According to the embodiment of the invention, the end-to-end test of the full-duplex voice interaction system is realized, and the index aiming at the unique characteristic of full duplex is accurately obtained.

The embodiment of the invention belongs to the technical field of big data, and relates to an intelligent rule generation method, which comprises the steps of performing field slicing processing on acquired service data to extract a slicing field, the slicing field according with field definition of a field query library of a process link corresponding to the service data; constructing candidate factors according to the extracted values of the slice fields, and writing the candidate factors into a factor feature library; evaluating candidate factors in the factor feature library according to apreset evaluation function, and selecting available factors from the candidate factors according to an evaluation result; and combining the selected available factors according to a preset combination algorithm to generate a new rule. The invention further provides an intelligent rule generation device, computer equipment and a storage medium. According to the invention, the automatic generationof the service rule is realized, the workload is reduced, the working efficiency is improved, and the accuracy of the rule is improved without depending on the experience of people.

The invention relates to a module machine type selection method and device, computer equipment and a storage medium. The method comprises the steps: responding to a model selection instruction, and displaying a model selection operation interface; obtaining target working condition parameters and actual operation data input in the model selection operation interface; determining a corresponding standard module machine type according to the target working condition parameters; according to the target working condition parameters and the actual operation data, controlling the model of the standard module machine to perform simulation operation, and generating corresponding performance parameters; displaying the model of the standard module machine and the corresponding performance parameters on a display panel; and obtaining the model of a target module machine selected from the standard module machine types, and displaying the model of the target module machine. By adopting the method, a user or a worker does not need to directly perform model selection according to personal experience, model selection failure caused by insufficient personal experience or errors can be avoided, the trial and error cost is reduced, and the model selection accuracy of module machine model selection is improved.

The invention relates to a model-free adaptive control method and system for an industrial system. The method comprises the following steps: acquiring historical monitoring data of various devices in an industrial process; generating a control instruction set by utilizing the controllable data, wherein the control instruction set comprises a plurality of control instructions generated at the next moment; constructing a prediction simulation model according to the historical monitoring data; based on the control instruction set, training a reinforcement learning-based control model according to the prediction simulation model, and generating a trained reinforcement learning-based control model; acquiring current monitoring data; and inputting the current monitoring data into the trained control model based on reinforcement learning, adaptively controlling the production process of the industrial system, and outputting the optimal set target of the industrial system. According to the invention, the trial-and-error cost can be greatly reduced, and a more effective intelligent control strategy can be obtained.

The invention discloses a method and a system for managing resumes of students going to bloom based on a blockchain smart contract, and belongs to the technical field of blockchains, the system comprises a bottom blockchain module and an upper application system module; the upper application system module comprises a school unit, a functional department unit and an enterprise unit; the school is responsible for inputting and modeling the information of the blooming students, and the blockchain automatically maintains and manages the information of the blooming students according to the agreedrules of the smart contract; the functional department and the enterprise inquire the information of the lesser students according to the passport numbers by utilizing an inquiry terminal of the application system, the blockchain automatically retrieves the information of the lesser students corresponding to the passport numbers on the chain according to the agreed rules of the intelligent contract, and the information is sorted into a model format and returned to the functional department and the enterprise if verification succeeds; refusing feedback if verification fails. The blockchain is used for storing the information of the students who are going to leave, tampering cannot happen, the credibility of data is improved, meanwhile, the intelligent contract is used for managing information modeling, and data query and application are facilitated.

The invention discloses an extensibility presetting method of plain weave fabric. The method comprises the following steps: prefetching the warp radius and weft radius of to-be-manufactured fabric; wherein the number of the warp yarns in the weft unit length and the number of the weft yarns in the warp unit length are equal; wherein the warp-wise length and the weft-wise length are the warp-wise breaking strength of the to-be-manufactured fabric; setting a stress coefficient of the warp yarns; and calculating the elongation of the plain weave fabric according to the equation set. The inventiondiscloses a plain weave fabric manufacturing method with set elongation. The method comprises the following steps: selecting warp yarns and weft yarns for manufacturing plain weave fabric, the methodcomprises the following steps: acquiring warp radius, weft radius, elastic coefficient of warp and breaking strength of warp, calculating according to an equation set to obtain multiple groups of alternative solutions, trial-manufacturing the fabric according to the alternative solutions, measuring the elongation of the fabric, and manufacturing the plain weave fabric according to related physical quantity parameters when the elongation error range required to be manufactured is met. Material selection and structural design of plain weave fabric can be guided according to the required fabricelongation, and a large amount of trial and error cost is avoided.

The invention discloses a hybrid automatic repeat request processing method, communication equipment and a medium, the method comprising: if received transmission data in a hybrid automatic repeat request process fails to be decoded and cannot be cached by a soft buffer of a receiving end, indicating that the hybrid automatic repeat request process needs to retransmit data, and the previous transmission data is not cached; receiving, by a sending end, an instruction for the hybrid automatic repeat request process; and sending, by the sending end, data needing to be retransmitted according to the hybrid automatic retransmission request process. According to the invention, when the two-way communication is carried out through the geostationary orbit network, the hybrid automatic repeat request process can be supported.

The invention discloses a foreign exchange rate prediction method based on combination of a neural network model and a classification model, and relates to the technical field of data processing methods of foreign exchange rate prediction systems. The technical defects that a foreign exchange rate prediction scheme is large in uncertainty and high in trial and error cost, and the model dissimilarity is not fully utilized are overcome. For the regression model, performing data preprocessing on the foreign exchange historical data in the N periods, and inputting the data into a neural network model; adding a delay layer into the neural network model, and performing iterative prediction to obtain an optimal prediction result; for the classification model, collecting foreign exchange historical data in the same period as the regression model, and dividing a confidence interval by taking price data predicted by the regression model; predicting a price data rising and falling probability value according to the classification model, and adjusting the size of a confidence interval; therefore, a suitable foreign exchange rate prediction result for price reference of entrance and exit is obtained. The influence of uncertainty is reduced, and the reliability of a prediction result is improved.

The invention discloses a credit service configuration method, a credit service configuration device and electronic equipment. The method comprises the steps of obtaining historical transaction data of a to-be-configured merchant and a configuration demand of a to-be-configured credit service of the to-be-configured merchant; determining an expected risk measurement result under the configurationrequirement of the credit service based on the historical transaction data; displaying the expected risk measurement result to the merchant to be configured; and if it is detected that the to-be-configured merchant performs confirmation operation on the configuration demand of the credit service for the expected risk measurement result, configuring the credit service of the to-be-configured merchant based on the configuration demand of the credit service.

The invention discloses a method for collecting market information through the mobile Internet. According to the method, mobile Internet online payment, a data processing technology and a conventional market survey way are combined, so that the defect of low efficiency in acquiring the market information in telephone questionnaire survey and field questionnaire survey is overcome, and the defects of inconvenience, high cost and great error in market information acquisition through the conventional Internet and massive data analyses in middle and small-sized enterprises are overcome at the same time. Through application of the method to mobile phone software, the enterprises can efficiently acquire accurate market and user demand information at low costs through the software, and the trial and error costs of the enterprises are lowered.

The invention provides an ultrasonic radar automatic calibration system. An upper computer is in communication connection with a radar HUT, and the upper computer comprises an excitation module, a feedback module and a solving module; the excitation module is used for sequentially sending the sensor signal threshold value of each distance segment to the HUT; the feedback module is used for receiving ultrasonic radar detection result information sent back by the HUT; the solving module carries out solving operation according to excitation information sent by the excitation module and result information extracted by the feedback module to obtain optimal sensor threshold values of all distance segments; and the optimal sensor threshold value is finally written into the HUT through the excitation module, and automatic calibration of the automobile ultrasonic radar sensor is achieved. According to the invention, automatic calibration is realized, the continuous trial and error cost during manual calibration is saved, and the purposes of cost saving and high-efficiency development and designing are achieved; and meanwhile, the calibration result can be visually output, and an alarm can be timely given.

The invention provides a multi-channel intelligent advertisement delivery method, device and electronic equipment. The method includes: obtaining multi-channel historical delivery data, fitting the calculation relationship between the number of customers acquired and the cost per item according to the historical delivery data of each channel, so as to establish a combination model, and the combination model includes a calculation model of multiple channels; according to user input Determine the target customer acquisition, and use the combination model to automatically calculate the optimal delivery strategy for each channel, and the delivery strategy is used to control the average cost of each channel; automatically carry out multi-channel network advertising according to the optimal delivery strategy for each channel delivery. The method of the invention reduces the trial and error cost of the advertiser, quickly finds the balance point between the channel and the cost target, efficiently controls the delivery cost, and improves the delivery efficiency.

The invention discloses an online feedback control method and device for a short-process production line and electronic equipment. The method comprises the following steps of acquiring historical data of the short-process production line; establishing a short-process production line database according to the historical data of the short-process production line; refining metallurgical specifications of a manufacturing system; obtaining new product development data of the short-process production line; and performing online feedback control on the short-process production line according to the short-process production line database and the new product development data. According to the online feedback control method and device for the short-process production line and the electronic equipment, on the basis of actual performance data such as variety components, process and performance of the short-process production line in recent ten years, real-time calling of process data and reminding and alarming of abnormal conditions are realized in combination with a manufacturing system (overall production and marketing system ERP), L2 and the like, and the method and device are simple and easy to operate and low in cost.

The invention relates to a model-free adaptive control method and system for an industrial system. The method includes: obtaining historical monitoring data of various equipment in the industrial process; using the controllable data to generate a set of control instructions; the set of control instructions includes a plurality of control instructions generated at the next moment; according to the historical monitoring data Constructing a predictive simulation model; based on the set of control instructions, training a control model based on reinforcement learning according to the prediction simulation model, generating a trained control model based on reinforcement learning; obtaining current monitoring data; inputting the current monitoring data into In the trained control model based on reinforcement learning, the production process of the industrial system is adaptively controlled, and the optimal setting target of the industrial system is output. The invention can greatly reduce trial and error costs and obtain more effective intelligent control strategies.

The invention discloses a BIM-based short-line method box girder section prefabrication method, 1, using the Bentley modeling platform to build a BIM design model of the box girder as a whole and a box girder section; 2, building the completed BIM design model for The layout of the prefabrication plant is simulated by the BIM model; 3. The prefabricated steel cage of the box girder segment by the short-line method; 4. When the box girder segment is prefabricated by the short-line method, one of the end forms is fixed, and the bottom form is read by reading the initial box girder The segmental BIM design model is adjusted and fixed with the bottom form trolley; 5. During the prefabrication process of the box girder segment, the spraying maintenance equipment is dynamically controlled and adjusted through the control system; 6. Before the concrete of the cast-in-place box girder segment is solidified , install control points for plane precision control and standard high precision control; 7, use the prefabricated last box girder segment as a floating end form, and obtain the linear compensation value of this box girder segment; 8, repeat step 3‑ 7. Complete the prefabrication of all box girder segments. The invention guarantees the safety, reliability and economy of the project.