56results about How to "Improve formulation efficiency" patented technology

The invention discloses an automobile crane hoisting simulation method on the basis of the virtual reality, which is characterized by comprising the following steps of: a first step of newly constructing a project and setting a project name for the new project; a second step of constructing a crane mode; a third step of adding hoisted objects and barriers; a fourth step of setting a hoisting target point; and a fifth step of implementing the hoisting simulation operation by keyboard operation until the hoisted objects reach the hoisting target point, completing hoisting and storing the operation process from a hoisting initial point to the hoisting target point. The construction of the hoisting model adopts a custom configuration mode or a mode of inquiring and adding on the basis of the working condition. The automobile crane hoisting simulation method on the basis of the virtual reality is easy to implement and can accurately simulate the hoisting operation process of a crane.

An aqueous elastomer dispersion includes a dispersed phase and an aqueous phase. The dispersed phase includes an elastomer including curable aliphatic conjugated-diene elastomers, such as polyisoprene, and a minor amount of at least one additive. The aqueous phase includes water and other optional components in either a soluble state or a dispersion state. The aqueous elastomer dispersion may be prepared by dissolving an elastomer, such as rubber, and additives in a solvent mixture and then converting the resulting solution into an aqueous emulsion. The aqueous emulsion is concentrated and the solvent is stripped from it to yield a dilute latex. The dilute latex that is obtained is concentrated again. Articles made from the aqueous elastomer dispersion include medical gloves, condoms, probe covers, dental dams, finger cots, catheters and the like.

The invention relates to a laser welding process parameter optimization method based on a Bagging integrated prediction model and a particle swarm optimization algorithm. The optimization consists ofa laser welding process parameter prediction model and a multi-target particle swarm optimization method, the prediction model is obtained by fusing a plurality of basic learners through a Bagging model fusion algorithm, and the prediction model establishes a nonlinear mapping relationship between the laser welding process parameters and weld quality evaluation parameters. The optimized laser welding process parameters are finally obtained through the multi-target particle swarm optimization algorithm, the prediction accuracy is higher, guidance can be better provided for the formulation of the laser welding process parameters, and the formulation efficiency of the process is improved.

The invention relates to a robot welding technology parameter optimization method based on CBR and RBR, and belongs to the technical field of robot welding. The robot welding technology parameter optimization method involves a welding technology input module, a welding technology expert system and a welding technology output module. The welding technology input module receives welding tasks and welding resources and further submits the welding tasks and the welding resources to the welding technology expert system. A query engine in the welding technology expert system reuses historical welding cases, and it enters a reasoning engine for case-based reasoning on the basis of rules if no similar welding technology cases exist. A range value exists in the reasoned welding technology, particleswarm optimization in a welding technology parameter optimization module is adopted for multi-objective optimization of welding technology parameters, the optimal welding technology parameter combination is determined, an exact value is acquired for a welding robot to execute, and robot welding intelligence is realized. Production efficiency can be improved and the effect is remarkable.

The invention discloses a method for determining a cargo loading and transporting plan, which comprises the following steps: acquiring relevant freight information of cargos to be transported, and generating a first collection containing selectable transportation routes according to the relevant freight relevant information and preset train number relevant information; calculating the contribution degrees of various transportation routes contained in the first collection; and screening various transportation routes contained in the first collection according to preset conditions, transferring service arcs or / and service chain arcs contained in the transportation routes, the contribution degrees of which accord with the preset conditions, to a second collection from the first collection, and determining the cargo loading and transporting plan according to the service arcs or / and the service chain arcs finally contained in the second collection, wherein the service arcs contain travel routes of nonstop trains, and the service chain arcs contain travel routes of indirect trains, therefore, the formulation efficiency of the cargo loading and transporting plan is effectively improved and the reasonability of the cargo loading and transporting plan is also improved. The invention simultaneously discloses a device for determining the cargo loading and transporting plan.

Embodiments of the invention disclose an organic contour acquisition method, image equipment, a radiotherapy plan system and a storage medium. The method comprises the following steps of acquiring target image data including a target organ, wherein the target image data includes a target image and scanning position information corresponding to the target image; according to the scanning position information, determining a contouring algorithm; and according to the contouring algorithm, acquiring target organ contour data in the target image. Through the above technical scheme, a problem that a radiotherapy plan making process is time-consuming is solved; and the target organ contour data is automatically and high- efficiently acquired so that manual operation and waiting time for a user to make a radiotherapy plan are reduced and shortened and radiotherapy plan making efficiency is increased.

The invention discloses a method and system for automatically generating a technological process. The method for automatically generating the technological process comprises the following steps that a sorting algorithm is pre-established, wherein the sorting algorithm includes process information and judgment condition information of the process information; the process condition information of an order is obtained; the process condition information of the order is matched with the judgment condition information of the sorting algorithm, and accordingly execution steps of processes are determined; according to the determined execution steps, the technological process corresponding to the order is automatically generated. The corresponding process sorting can be matched by pre-establishing the sorting algorithm and obtaining the process condition information of the corresponding order through the system, and further the final technological process is automatically generated. Automatic formulation of the technological process is achieved, the time required for process formulation is greatly saved, and the process formulation efficiency is remarkably improved. The method is simple and convenient to use, the experience dependence of an operator is effectively reduced.

An aqueous elastomer dispersion includes a dispersed phase and an aqueous phase. The dispersed phase includes an elastomer including curable aliphatic conjugated-diene elastomers, such as polyisoprene, and a minor amount of at least one additive. The aqueous phase includes water and other optional components in either a soluble state or a dispersion state. The aqueous elastomer dispersion may be prepared by dissolving an elastomer, such as rubber, and additives in a solvent mixture and then converting the resulting solution into an aqueous emulsion. The aqueous emulsion is concentrated and the solvent is stripped from it to yield a dilute latex. The dilute latex that is obtained is concentrated again. Articles made from the aqueous elastomer dispersion include medical gloves, condoms, probe covers, dental dams, finger cots, catheters and the like.

The invention relates to a system and a method of fused magnesium production energy management based on BOM (Bill of Materials) and MRP (Material Requirement Planning) algorithms. The system comprises a sales management module, an inventory management module, a procurement management module, a product BOM module, an MRP computing module, a production planning module, an electric energy planning module, a production dispatching module, an electric energy counting module and an electric energy monitoring module; the fused magnesium production energy management method comprises the steps: performing MRP computation according to fused magnesium BOM, sales order quantity demand of the fused magnesium, delivery date of the fused magnesium, available inventory quantity information of the fused magnesium, available inventory quantity information of magnesite ores and available inventory quantity information of graphite electrodes; and generating electrical energy requirement planning, procurement planning of raw materials and production planning. According to the system and the method of fused magnesium production energy management based on BOM and MRP algorithms, the formulating efficiency and accuracy and the operability of the production planning, the procurement planning and the electric energy requirement planning of fused magnesium enterprises can be improved greatly; the plans match with the sales order requirement, so that the production can be organized as planned and the just-in-time delivery of the order is guaranteed.

The invention relates to an intelligent flow control strategy generating method for a termination area. The method comprises the following steps: firstly, establishing a termination area airspace structure which comprises an airport, an approach and departure route, and a safety control area, and establishing a termination area operating mode; on this basis, analyzing a weather forecast and real-time weather radar echo data; and predicating and calculating the distribution of a thunderstorm in a specified time period in the termination area, and automatically generating a termination area flowcontrol strategy under the influence of the thunderstorm. According to the intelligent flow control strategy generating method for the termination area, a flow control strategy is established, wherein the traditional ''experience driven'' is changed into data driven, so that the automation degree and the precision are high; errors in a manual decision-making process can be avoided; the decision is automatically assisted according to the forecast and the real-time weather data, and the method is suitable for establishing the flow control strategy in advance or in real time according to the thunderstorm.

The invention discloses a method, apparatus and system for making an access control strategy, and belongs to the technical field of networks. The method can be applied to a resource server, the method comprises the following steps: receiving a strategy making request of a target account sent by a control terminal; providing optional geographic areas for the control terminal according to the strategy making request; receiving a safe geographic area selected by the control terminal from the optional geographic areas; and making the access control strategy, wherein a corresponding relation of the target account and the safe geographic area is recorded in the access control strategy. In the method, the control terminal can directly select the safe geographic area from the optional geographic areas according to the geographic positions where access terminals are located without determining an IP network segment, in a process of making the access control strategy, the operation of the control terminal is relatively simple, and the making efficiency of the control strategy is relatively high. The method, apparatus and system disclosed by the invention is used for making the access control strategy.

The invention provides a disaster situation response scheme generation method and device, a storage medium and an electronic device, and the method comprises the steps: obtaining disaster situation alarm information which is used for representing the occurrence of a disaster situation in a target region; sending a first shooting instruction to a 5G camera device, and allowing the 5G camera deviceto shoot the target area; acquiring a disaster response scheme generated by processing equipment, wherein the disaster response scheme is a scheme which is generated by the processing equipment according to first image information and is used for controlling the disaster, and the first image information is image information which is obtained by shooting the target area by the 5G camera device andis transmitted to the processing equipment through a 5G communication network. Through the method and the device, the problem of low disaster situation response scheme making efficiency in the prior art is solved, the disaster situation response scheme making efficiency is effectively improved, casualties are reduced, and the property safety is ensured.

The invention discloses a pest control scheme generation method and system based on deep learning and a storage medium, and relates to the technical field of pest control, and the pest control scheme generation method comprises the steps: obtaining plant image information in a target area, according to the plant image information, judging whether the plants in the target area have insect damage conditions or not, determining current insect damage symptoms, performing representation in a heterogeneous graph form based on insect damage types, the insect damage symptoms and a prevention and control method, and constructing a prevention and control scheme generation model based on a graph convolutional neural network; and inputting the current insect pest symptom as an initial node into a prevention and control scheme generation model to obtain a prediction score of the prevention and control scheme, and taking the prevention and control scheme with the high prediction score as an insect pest prevention and control scheme suitable for the plants in the target area. According to the method, the potential relationship between the insect pest and the control scheme is obtained through the graph convolutional neural network, so that the pertinence and accuracy of the control scheme are greatly improved, and meanwhile, the formulating efficiency of the plant insect pest control scheme is improved.

The invention provides a metadata standard updating method and a device, equipment and a storage medium, namely the method comprises the steps of when metadata which does not conform to a preset standard is detected, obtaining the use frequency of the metadata in a preset time period, and judging whether the use frequency exceeds a preset threshold value; if the use frequency exceeds the preset threshold value, judging whether the metadata conforms to a preset naming rule or not; and if the metadata conforms to the preset naming rule, generating corresponding standard data updating recommendation information according to the metadata, and adding the metadata to a preset standard library when a confirmation instruction fed back by a user according to the updating recommendation informationis received. According to the method, data standards can be recommended according to the actual use conditions of the metadata, incremental updating of the standard metadata and reverse enrichment ofa standard system are realized, so that pre-formulated standards are effectively supplemented, the user experience is improved, and the standard formulating efficiency is improved.

The invention relates to a resource information acquisition method based on firefighting rescue. The resource information acquisition method comprises the following steps: acquiring alarm position information; generating a peripheral resource checking request based on the alarm position information, transmitting the peripheral resource checking request to a server, and enabling the server to acquire corresponding peripheral resource information according to the peripheral resource checking request; receiving the peripheral resource information fed back from the server, and loading corresponding peripheral resource marks on a map according to the peripheral resource information. By adopting the resource information acquisition method, a rescue plan maker can visibly understand peripheral resource information in the alarm position, the rescue plan making difficulty can be reduced, and the rescue plan making efficiency can be improved. In addition, the invention further provides a resource information acquisition device based on firefighting rescue.

The invention discloses an after-loading radiotherapy plan and 3D printing template integrated simulation design method and system. The method comprises the steps: obtaining a source application column three-dimensional model after the filling of a source application column, obtaining a medical image after the filling of the source application column, marking a tumor target in the medical image, obtaining target point cloud data, and defining a needle insertion region in a specified range of the source application column; generating a needle channel sequence, setting a plurality of radioactiveparticles in a needle channel in the sequence P, and calculating and optimizing residence points and residence time of the radioactive particles by utilizing a gradient method so as to meet set dosedistribution; generating a template containing a source application column; and printing a three-dimensional model of a template, a needle channel sequence P and other data through a 3D printing technology. Compared with the prior art, the scheme provided by the invention has the advantages that the high dependence of traditional after-loading radiotherapy operation plan making on the experience of doctors is relieved, and the efficiency of treatment plan making is improved. In combination with the 3D printing technology, the treatment plan can be reproduced in the physical model, and the quality of actual treatment is guaranteed.

The invention provides a post target formulating method and device based on big data, equipment and a storage medium. The method comprises the following steps: acquiring basic information, a post list and a project list of an enterprise; matching the basic information with data in a preset big data platform, and determining a first index and a first post responsibility associated with the basic information; determining a post responsibility corresponding to each post in the post list based on the post list, the first post responsibility and business data of the enterprise; and determining a post target corresponding to each post in the post list based on the project list, the first index and the post responsibility corresponding to each post in the post list. Through the mode, the post target can be quickly and efficiently formulated, and a large amount of manpower and material resources do not need to be input, so that the time consumption can be reduced, the cost is reduced, and the post target formulating efficiency is improved.

The invention provides an information processing method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining the track information of a pedestrian in avideo stream based on the video stream collected at a first target place; determining the number of first people streams entering the first target place and the number of second people streams passingthrough the first target place within a preset duration based on the track information of pedestrians in the video stream; and based on the first people flow quantity and the second people flow quantity, generating adjustment information for the displayed articles in the second target place.

The invention discloses an urban rail transit driving scheme calculation method based on multi-day passenger flow fusion, and the method comprises the following steps: S1, carrying out the user-defined setting of an intersection path, a calculation time domain, a calculation time granularity, a driving interval value range constraint and a maximum load factor constraint according to the basic information of a line; S2, preprocessing the corresponding multi-day passenger flow data according to the calculation time domain and the time granularity, and obtaining the section passenger flow demand quantity in different time periods by adopting a clustering analysis method; S3, calculating a driving interval and a double-intersection driving proportion which meet the passenger flow demand, the load factor and the value range constraint in each time granularity in a classified manner according to different intersection forms and the number of fixed passengers of the whole train; and S4, outputting a driving scheme calculation result and a corresponding passenger flow demand quantity according to a time sequence, and combining time granularities with the same or similar results to form a multi-peak period scheme. The method has the advantages of improving multi-day passenger flow data processing efficiency, refining transport capacity and transport volume matching, fitting operation practice rules and the like.

The invention discloses an automobile accessory industry supply chain intelligent replenishment system and a warehouse thereof, which are used for carrying out unified systematic management on supplier files, material files, safety stock, sales prediction logic, transfer and collection plan logic and warehouse index monitoring related to intelligent replenishment in a supply chain. According to the automobile accessory industry supply chain intelligent replenishment system, a supply chain intelligent replenishment solution is provided, the supply chain demand plan making efficiency can be effectively improved, the granularity of a demand plan and a transfer plan is improved to SKU, the inventory turnover days of supply chain nodes are effectively reduced, and the stockout rate index is reduced; the workload of enterprise personnel is effectively reduced, and the error occurrence rate is reduced. Therefore, the supply chain management efficiency of an enterprise is improved, and the supply chain management cost of the enterprise is reduced. The sales prediction granularity is refined from the original three-level category to the SKU, automation from sales prediction to transfer mining is realized, and the working efficiency of supply chain planning personnel is improved.

The present invention relates to an audit diagnosis and treat rule generation method and device, a computer device and a storage medium. The method comprises the steps of: obtaining a diagnosis and treat rule generation demand; extracting a disease name and an audit element from the diagnosis and treat rule generation demand; finding a diagnosis and treat knowledge topological graph correspondingto the disease name, wherein the diagnosis and treat knowledge topological graph is constructed based on mass of medical data; finding a first diagnosis and treat key field corresponding to the auditelement in the diagnosis and treat knowledge topological graph; obtaining a first medical element field associated with the first diagnosis and treat key field, and generating diagnosis and treat audit detail according to the first diagnosis and treat key field and the first medical element field; and according to the diagnosis and treat audit detail, generating a diagnosis and treat audit rule. The method is employed to improve the making efficiency of the audit rule.

The invention discloses an intelligent operation strategy configuration method and device based on machine learning, electronic equipment and a computer readable medium, and the method comprises the steps of obtaining user tags of a plurality of historical user groups and operation strategy parameters corresponding to the historical user groups, and building an operation strategy parameter calculation model based on machine learning; obtaining a user label of a new user group, and calculating an operation strategy parameter of the new user group by using the calculation model; and automatically configuring an operation strategy for the new user group according to the calculated operation strategy parameters. The historical users can be classified through the user tags, the new users are matched with the user tags of the historical users through machine learning, the operation strategies of the historical users are applied to the new users similar to the user tags of the historical users, the efficiency of formulating the operation strategies is improved, the strategy formulating process is optimized, manual repeated operation is reduced, the working pressure of operators is reduced, and the operation efficiency of the whole enterprise is improved.

The invention relates to a system and a method for intelligent customization of weight-reducing plan based on the Internet of Things (IOT). The system comprises a trainee terminal, a coach terminal, adisplay screen, a controller and a cloud server. The display screen and the controller are both placed at a fitness place, and the controller and the display screen are connected. The cloud server isrespectively in communication with the controller, the trainee terminal and the coach terminal. The trainee terminal and a trainee ID are bound, and the coach terminal and a coach ID are bound. The display screen is a touch display screen. According to basic information and training needs of trainees, coaches can be intelligently allocated; and weight-reducing plans suitable for trainees can be allocated according to classifications of trainees. The weight-reducing plans can be amended by the allocated coaches to more fit the needs of different trainees. By the system and the method, intelligent customization and management of weight-reducing plans are realized, and the efficiency of weight-reducing training plan formulation is improved.

The invention discloses an accurate marketing method, and belongs to the field of intelligent marketing, and the method comprises the following specific steps: (1), carrying out the selection and judgment of user operation, and collecting related user information; (2) capturing user behavior data and carrying out analysis and judgment; (3) screening marketing data and generating a corresponding pushing scheme; (4) collecting and judging user operation information in real time; related data can be screened for multiple times, bad information contained in the data can be deleted, a safe and healthy network environment can be maintained, the marketing success rate is improved, the workload of workers is reduced, the working enthusiasm of the workers is improved, the stored pushing scheme can be directly called for use, the operation memory of a server does not need to be occupied, the scheme making efficiency is improved, and resources are saved.

The invention provides a method and a system for configuring a business expansion metering device based on a knowledge graph. The method comprises the following steps of: S1, acquiring business expansion information of historical users and operation data corresponding to the business expansion information; S2, constructing a typical configuration information table according to the business expansion information; S3, calculating the information gain ratio of each type of information in the configuration information table, and constructing a metering device configuration decision tree; S4, obtaining a business expansion demand of a new user, and generating a plurality of configuration schemes corresponding to the business expansion demand through the metering device configuration decision tree; and S5, performing quantitative evaluation on the configuration scheme according to the operation data, generating an evaluation report, and performing visual display. By means of the mode, the configuration scheme obtained by the user can better meet the actual requirement while the configuration scheme making efficiency is improved.

The invention provides a personal connection data generation method, comprising the steps: obtaining first target data of a current candidate, wherein the first target data is used for representing the work experience and personal introduction information of the current candidate; obtaining preset second target data of the matched person; in response to a contact data generation request of the current candidate, generating a relationship matching degree between the current candidate and the matched person by using a preset matching model according to the first target data and the second targetdata; obtaining interpersonal connection data of the current candidate according to the relationship matching degree; and sending the personal connection data of the current candidate to a client fordisplay. According to the personal connection data generation method, the user data of the current candidate and the to-be-matched person is collected, and the collected user data is subjected to data processing according to the preset matching model to generate the personal connection data of the current candidate, so that the making efficiency of the personal connection data is improved, and manual investigation is not needed, and human resources are saved.

A method and system for automatically generating a process flow. The method for automatically generating a process flow comprising the following steps: pre-establishing a sequencing algorithm, the sequencing algorithm comprising information of various processes and determination condition information among the information of the various processes (S10); acquiring the process condition information of an order (S20); matching the various process condition information of the order with the determination condition information of the sequencing algorithm so as to determine execution steps among the processes (S30); and according to the determined execution steps, automatically generating a process flow corresponding to the order (S40). The corresponding process sequence can be matched by pre-establishing the sequencing algorithm and by acquiring the various process condition information of a corresponding order by means of the system, and then the final process flow is further generated automatically. The described method achieves automatic formulation of a process flow, thus greatly saving the time required for flow formulation and markedly improving flow formulation efficiency. The described method is simple and convenient to use and effectively reduces the experience dependence of an operator.

The invention discloses an integrated simulation design method and system for post-installation radiotherapy plan and 3D printing template, comprising: obtaining the three-dimensional model of the source column after the source column is filled, obtaining the medical image after the source column is filled, marking the tumor target in the medical image, and obtaining For the target point cloud data, define the needle entry area within the specified range of Shiyuan column, generate the needle track sequence, set a number of radiation particles in the needle track in the sequence P, and use the gradient method to calculate and calculate the residence point and residence time of the radiation particles. Optimize to meet the set dose distribution; generate a template containing the source column; use 3D printing technology to print the three-dimensional model of the template, the needle track sequence P and other data. Compared with the prior art, the solution proposed by the present invention alleviates the high dependence of the traditional afterloading radiotherapy operation plan on the experience of doctors, and improves the efficiency of treatment plan formulation. Combined with 3D printing technology, the treatment plan can be reproduced in the physical model, ensuring the quality of the actual treatment.

The invention relates to a robot welding technology parameter optimization method based on CBR and RBR, and belongs to the technical field of robot welding. The robot welding technology parameter optimization method involves a welding technology input module, a welding technology expert system and a welding technology output module. The welding technology input module receives welding tasks and welding resources and further submits the welding tasks and the welding resources to the welding technology expert system. A query engine in the welding technology expert system reuses historical welding cases, and it enters a reasoning engine for case-based reasoning on the basis of rules if no similar welding technology cases exist. A range value exists in the reasoned welding technology, particleswarm optimization in a welding technology parameter optimization module is adopted for multi-objective optimization of welding technology parameters, the optimal welding technology parameter combination is determined, an exact value is acquired for a welding robot to execute, and robot welding intelligence is realized. Production efficiency can be improved and the effect is remarkable.