57 results about "Pheromone" patented technology

A method, system, device, and medium for delay-tolerant network caching based on the minimax ant colony algorithm are disclosed. The method includes: first, classifying information; when a new message arrives, if the cache is not full, the new message is allowed into the cache; otherwise, the total pheromone concentration of the new message determines whether to allow it into the cache. Regardless of whether the new message is allowed into the cache, the pheromone concentration of similar messages in the cache is updated, and the updated pheromone concentration of similar messages is compared with a given pheromone concentration range. If the pheromone concentration does not exceed the range, caching ends; if it exceeds the range, the upper or lower limit of the given pheromone concentration range is used. The system, device, and medium are used to implement a delay-tolerant network caching method based on the minimax ant colony algorithm. This invention introduces the concept of pheromone concentration to determine whether the total pheromone concentration of a new message entering the cache is minimum, thus deciding whether to discard the new message. This has the characteristics of improving the message arrival rate in delay-tolerant networks and reducing network overhead.

This invention belongs to the field of industrial manufacturing and resource optimization technology, specifically involving a smart material batching optimization method for iron towers based on a two-layer genetic ant colony algorithm. The method includes: first, acquiring the parameters of raw materials and components for the iron tower; grouping them according to material specifications to construct a material batching optimization problem; generating an initial population using multi-strategy greedy initialization; generating preliminary solutions by combining pheromone guidance and heuristic information from the ant colony algorithm; then completing genetic evolution through elite retention, tournament selection, crossover, and multi-strategy mutation; and finally forming a two-layer collaborative optimization framework through constraint repair and pheromone updating, ultimately outputting the optimal material batching scheme. This invention combines global ant colony search with local genetic optimization, effectively overcoming the shortcomings of single algorithms such as being prone to getting trapped in local optima, slow convergence, and premature convergence. It can significantly improve raw material utilization, reduce surplus material and the number of material units used, and is more robust and efficient in multi-material, multi-specification iron tower batching scenarios. Compared with traditional methods, material utilization is greatly improved, effectively reducing enterprise production costs and providing reliable technical support for the intelligent upgrading and efficient resource utilization of iron tower manufacturing.

The utility model provides a kind of loaded pheromone trapping device. A kind of loaded pheromone trapping device, comprising: mounting plate;Trapping cylinder is set to the top of mounting plate, trapping cylinder includes installation cylinder, opening hole, cone bucket, taper slot and opening slot. The utility model provides a kind of loaded pheromone trapping device, by pushing pull rod to drive slide bar and extrusion plate to move downwards, extrusion plate moves downwards inside trapping cylinder, the two species of rice moth received in trapping cylinder is rolled and crushed, can wait for a long time to disassemble trapping cylinder and extrusion device to clean, the device simple structure, practicality is strong, can effectively reduce the labor intensity of operator, improve the elimination efficiency of two species of rice moth simultaneously, reduce the accumulation of a large number of two species of rice moth in trapping cylinder Influence the volatilization efficiency of induction core, prolong the service life of pheromone in induction core, improve the trapping efficiency of trapping device, fast efficiency capture pest, improve the practicality of device.

The embodiments of the present application relate to the technical field of computers. Provided are a container scheduling method and apparatus, an electronic device and a medium. The method comprises: constructing a container utility function and a load balancing objective function and, on the basis of the container utility function and the load balancing objective function, determining a pheromone update policy for a multi-objective ant colony algorithm, the container utility function indicating the utility of allocating target containers to target compute nodes, the utility of allocating the target containers to the target compute nodes being directly proportional to the amount of data to be read in the target compute nodes, and the load balancing objective function indicating the degree of balance of allocating the target containers to the target compute nodes; and, on the basis of initial parameters of the multi-objective ant colony algorithm and the pheromone update policy, determining a container scheduling solution. The method preferentially deploys containers onto compute nodes where data to be read is stored, and ensures balanced allocation of the containers, avoiding network IO and increasing the running speed of tasks within the containers.

This utility model relates to the field of forestry protection technology and discloses a forestry pest and disease trapping and monitoring device, including an installation device. The installation device includes an installation rod, and a first installation ring is fixedly sleeved on the outer side of the installation rod. A long plate is welded to the front end of the first installation ring, and a slot is opened on the front side of the long plate. This utility model optimizes the quick-disassembly and assembly structure of the trap box by adopting a design that combines a plug plate, an arc panel, and a telescopic spring, achieving one-click installation and disassembly. This solves the problems of traditional devices requiring tools for replacement and having low maintenance efficiency. At the same time, the modular design of the trap box and pheromone box facilitates individual replacement and cleaning, reducing operating costs and extending the device's lifespan. The overall structure is simple and easy to operate, significantly improving the practicality and maintenance efficiency of forestry pest and disease monitoring.

This invention belongs to the field of plant quarantine technology and discloses an IoT-driven real-time monitoring and early warning device for plant quarantine pests. The on-site monitoring terminal collects multi-dimensional on-site data related to pests; the edge computing module performs real-time preprocessing, feature extraction, and preliminary anomaly detection on the on-site data; the IoT transmission module enables bidirectional data transmission between the edge computing module and the cloud-based early warning platform; and the cloud-based early warning platform performs in-depth analysis of the received data, pest identification and density assessment, and executes tiered early warning and data management. This invention provides comprehensive monitoring dimensions, enabling monitoring of all types of pests at all times: integrating multi-sensor detection units, image acquisition units, and trapping units, and combining pheromone, vibration, spore capture, and image acquisition methods, it achieves monitoring of various plant quarantine pests such as insects, fungi, and bacteria.

The application discloses a large-scale flexible job shop scheduling method and system, acquires job shop related information; creates job agents, machine agents and inventory agents according to the job shop related information based on a multi-agent ant colony algorithm, initializes multi-agent ant colony algorithm parameters and pheromone initial values; constructs a disjunctive graph in the form of a directed graph according to the job shop related information, sequentially traverses the disjunctive graph, and job agents, machine agents and inventory agents generate scheduling solutions according to an agent negotiation protocol and update pheromones; after multiple iterations, it is judged whether a new optimal solution is generated, if the iteration number exceeds the preset number of rounds, the current optimal solution is output, and the final job shop scheduling scheme is obtained. Advantage: the shortest completion time, machine utilization rate and calculation time required by the multi-agent ant colony algorithm have obvious advantages compared with the prior art, and are more suitable for large-scale job scheduling problems.

The utility model relates to the technical field of pest control, concretely to an environmental protection forestry deinsectization equipment, include: capture box, the capture box includes box, the inside collection subassembly of box, the collection subassembly includes transparent collection bucket, the inside bottom of collection bucket is equipped with the conical anti -escape cover, the bottom surface below of box is equipped with the moth -attracting component, the moth -attracting component includes the conical water screen, the inside middle of water screen is equipped with the moth -attracting block, the diffusion device is equipped below the moth -attracting block. The utility model, utilize axial flow fan and heating device, increase pheromone's diffusion range and diffusion speed to improve the moth -attracting efficiency, avoid the influence of rainwater to the moth -attracting block through setting up water screen, and guide the upward movement of insect, improve the insect -catching efficiency, and collection subassembly and insect -catching box split setting and utilize pressure sensor to detect the weight change of collection subassembly, can reduce the workload of the tour, and conveniently clean up and replace in time.

The utility model belongs to the technical field of the trap, concretely relates to a wind -proof and rain -proof type larch moth adult trap, including fixed link, the upper end fixed connection of fixed link has the outer tube, the inside fixed connection of outer tube has larch moth sex information essence lure core placement mechanism, is equipped with a plurality of air grooves on larch moth sex information essence lure core placement mechanism, the opening area of air groove is adjustable, the lower end detachable fixed connection of outer tube has the bottom plate, the middle position fixed connection of bottom plate has the conical hopper, the fixed link is fixedly connected with the controller, and the controller and rotary kinetic energy input mechanism electrically connected. The utility model can dynamically adjust the larch moth sex information essence release amount of larch moth sex information essence lure core according to demand, and can reach the effect that prevents wind and rain, reduces the waste of larch moth sex information essence lure core.

The application relates to the technical field of intelligent logistics, in particular to an order dispatching method and system for intelligent logistics. The method comprises the following steps: dividing a logistics area into multiple grids; in response to a new order event, generating a preset initial value of a profit pheromone; acquiring a transport capacity node density in each grid, and generating a congestion pheromone when the transport capacity node density exceeds a preset threshold; calculating a composite pheromone in a preset grid range for each transport capacity node; based on the composite pheromone, calculating a state transition probability of the transport capacity node moving to an adjacent grid or accepting an order by using a probability selection algorithm; and generating a dispatching instruction according to the state transition probability of each transport capacity node. By means of the double pheromone mechanism, the problems of global supply-demand imbalance and local transport capacity congestion in the traditional dispatching method are effectively solved, and the scheduling efficiency and response speed of the logistics system are significantly improved.

The utility model relates to the technical field of disease and insect pest trapping, concretely relates to disease and insect pest trapping device with pheromone lure core, including the long rod of vertical placement, the sidewall of long rod near top is fixedly installed with solar panel through the support that extends outward, long rod top fixedly connected with bottom plate, the central place fixed mounting of bottom plate top surface is used for the storage medicine cartridge of storing blocky pheromone lure core, the insecticidal electric net that is cylindrical is equipped with with the same center of storage medicine cartridge in the outer cover of storage medicine cartridge, the rain awning that is equipped with in bottom plate top, long rod near bottom's sidewall fixedly installed with a plurality of for inserting the ground support rod, the utility model discloses through the blocky pheromone lure core of storage in storage medicine cartridge can attract fixed variety's pest to insecticidal electric net to realize accurate killing, and through the electric heating sheet can accelerate the volatilization of blocky pheromone lure core, improve the attraction and attraction range to pest, again through the collection cylinder to the pest that kills carries out collection, convenient clean up pest corpse.

This invention discloses a detection task management method and system based on a LIMS system, relating to the field of task management technology. The method includes: generating historical branch records based on an audit trail record set of the target sample, and sorting the historical branch records to obtain a record sequence; filtering the record sequence for previous branches based on rule configuration data from the LIMS system to obtain a set of previous branch records, and marking the previous branch record set with restrictions to obtain a set of previous branch restriction marks; obtaining a reverse branch suppression graph based on the record sequence; constructing an ant colony search edge set based on the set of previous branch restriction marks and the reverse branch suppression graph; and determining the target edge based on the edge pheromone set and edge heuristic value set determined by the ant colony search edge set. This invention improves the standardization and reliability of the detection process.

The application provides a marine biodiversity detection sampling batch trapping device and relates to the technical field of marine organism trapping. The marine biodiversity detection sampling batch trapping device comprises a support, a top plate is fixedly connected to the top of the support, a threaded column is rotationally connected to the inside of the support, a moving sleeve is arranged on the outside of the threaded column, the moving sleeve is slidably connected to the inside of the support, a plurality of box bodies are fixedly connected to the inside of the support, and bait boxes are fixedly connected to the insides of the plurality of box bodies. The marine biodiversity detection sampling batch trapping device enables a plurality of leaf plates to diffuse a plurality of pheromones outward from the screen mesh, so as to attract various organisms to approach, facilitates subsequent trapping, enables pushing material blades to diffuse bait outward, facilitates the attraction of organisms for trapping, can capture marine organisms in batches, and is convenient to operate.

This invention discloses a method and system for processing personnel information for business administration based on big data, relating to the field of personnel information data processing technology. The method includes the following steps: acquiring personnel information; preprocessing the personnel information to obtain preprocessed text information; processing the preprocessed text information through an embedding layer based on a CNN-BERT model to obtain a word vector matrix; processing the word vector matrix sequentially through a CNN convolutional layer, pooling layer, and fully connected layer to obtain structured data; using an improved ant colony optimization algorithm to perform path optimization for multi-condition combined queries on the structured data to obtain the globally optimal retrieval path; retrieving personnel information that satisfies the multi-condition combined query from the structured data based on the globally optimal retrieval path; and adaptively updating the global pheromone of the improved ant colony optimization algorithm after each round of multi-ant colony collaborative search to accurately locate the target personnel information.

This application provides a data center load balancing method and apparatus based on temperature sensing and path selection, belonging to the field of data center load balancing technology. The method provided in this application: determines virtual machines to be migrated from overheated servers based on resource utilization; determines candidate target servers from servers in the data center based on resource requirements; calculates a comprehensive score for each candidate target server based on its temperature factor, load utilization factor, and heat accumulation factor; calculates the migration probability of each virtual machine to be migrated to each candidate target server based on pheromone concentration and comprehensive score; iteratively solves for the optimal solution based on the migration probability and ant colony optimization algorithm; determines the target server based on the optimal solution; and migrates the set of virtual machines to be migrated. The method and apparatus provided in this application are used to achieve synergy between data center thermal management and energy consumption optimization in ultra-dense deployment environments.

The present invention provides a pest detection device that can detect pests simply and with high accuracy, and a pest outbreak forecasting system that can predict pest outbreaks simply and with high accuracy. [Solution] The device does not have a mechanism for capturing or killing pests, and consists of a pest attracting unit 2, an imaging unit 3, a temperature measuring unit 4a, a humidity measuring unit 4b, and a solar cell unit 6. The pest attracting unit 2 consists of a pheromone agent 21, a protective member 22, and a background plate 23. The imaging unit 3 is equipped with an infrared sensor 31 and acquires imaging data of the pest 9 each time it is photographed. The imaging data includes shooting date and time data 5a, location information data 5b, and image data 5c. The temperature measuring unit 4a measures the temperature, and the humidity measuring unit 4b measures the humidity. The imaging data transmission unit 5 of the imaging unit 3 transmits the temperature data and humidity data, linked to the imaging data, to a server 7 outside the device.

Embodiments of the present application relate to the cross field of computer vision, bionic computing and industrial automation detection, and disclose a railway wagon wheel set front cover bolt coordinate extraction method and system. The present application constructs a nutrition potential field by fusing image multi-scale gradient and texture features, uses the chemotactic migration characteristics and "deposition-evaporation" competition mechanism of digital slime molds to guide the self-organization evolution of digital slime mold particles in the nutrition potential field, and generates pheromone pipe network that inhibits noise. Then, the sub-pixel coordinates are extracted by biomass weighted centroid. Finally, the topological verification is performed by using the rigid geometric prior of the three bolts of the wheel set front cover. In addition, the automatic completion of the occluded target is realized through a collaborative inference mechanism. Therefore, the present application has the advantages of strong noise resistance, high computing efficiency, good robustness and the like, and is suitable for industrial precision detection under complex working conditions.

There is provided a sustained release pheromone preparation including a mixture containing a first unsaturated aliphatic acetate compound having one carbon-carbon double bond and a second unsaturated aliphatic acetate compound having two carbon-carbon double bonds in a mass ratio of 0.5:99.5 to 99.5:0.5, each compound having the same total number of carbon atoms; and a container containing the mixture therein and including, as a part or whole of the container, a membrane of a linear aliphatic polyester containing one or more selected from the following repeating unit (I); wherein the preparation targets at at least one type of insect pest whose sex pheromone substances contains both of the first and second compounds, or targets at at least one type of insect pest whose sex pheromone substance contains one of them and at least one type of insect pest sex pheromone substance or substances contains the other or both of them.

This invention belongs to the field of intelligent computing and offshore wind power monitoring technology, specifically involving a collaborative monitoring method for corrosion prevention in offshore wind farms that integrates swarm intelligence. The method includes: acquiring real-time salt spray deposition rate and real-time relative humidity; generating local initial screening; obtaining an environmental stress index; obtaining initial pheromones; calculating a comprehensive pheromone for assessing the swarm's collaborative filtration status; calculating the collaborative focusing degree for assessing high-risk targets across the network and guiding inspection resources; obtaining depth probing measurements characterizing substantial damage to the metal substrate; calculating a degradation risk score for extrapolating the probability of potential structural brittle fracture; and generating corrosion prevention scheduling instructions to guide monitoring status. This invention solves the technical problems in existing technologies, such as the lack of collaborative linkage among offshore wind farm nodes, the difficulty in extracting initial corrosion characteristics due to environmental noise, and the inability of inspection resources to dynamically focus on truly high-risk areas.

This utility model discloses a ladybug oviposition paper, comprising a surface layer, a middle layer, a bottom layer, and a textured layer. The bottom of the surface layer is bonded to the middle layer, and the bottom of the middle layer is bonded to the bottom of the bottom layer. The textured layer is fixedly connected to the top of the surface layer. This ladybug oviposition paper adopts a three-layer composite structure: surface layer: light yellow biodegradable plant fiber membrane; middle layer: breathable and waterproof nanofiber layer; bottom layer: environmentally friendly pressure-sensitive adhesive. The overall structure is simplified, employing a modular unit design: cut into 6cm×6cm squares with perforated edges, allowing for quick assembly into a large oviposition area without manual folding or fixing accessories; it is simply tear-and-stick. The color is light yellow, the texture is a laser-engraved grid pattern on the back of leaves, and the scent inducer is impregnated with trace amounts of aphid pheromones. In use, multiple sheets of oviposition paper are spliced ​​together in the field to form an "oviposition belt," which is then hung on the back of crop stems or leaves to attract ladybugs to lay eggs and establish natural enemy insects.

The application discloses a routing method, medium, equipment and product of a low-orbit satellite constellation, relates to the technical field of satellite routing, and comprises the following steps: according to a quality of service parameter, performing snapshot freezing on a current network topology to construct a static topology graph structure; constructing a basic quality of service parameter cost function for each link; performing an offline ant colony optimization algorithm to globally evaluate a satellite topology library constructed in advance, constructing a heuristic function according to a link basic quality of service parameter cost; initializing a pheromone value for each link, and updating the pheromone in an iteration process according to the heuristic function; adjusting the cost function based on the pheromone; taking the cost of the discounted pheromone as the final link weight of the satellite network, constructing a weighted graph structure, and adopting a shortest path search algorithm to calculate a routing path between a source node and a target node, so that an optimal routing path is obtained. The application solves the problems of high-speed time-varying satellite link state adaptability and poor quality of service.

This application proposes a sensor control method and system for intelligent terminals based on ant colony optimization (ACO) algorithm. The method includes: determining scene nodes and their characteristics, and task priorities along a route; determining the current scene node; controlling each intelligent terminal to periodically broadcast via a low-power communication module; evaluating the efficiency-to-energy ratio and mapping the results to pheromone concentration in the ACO algorithm; selecting intelligent terminals as detection nodes; and controlling the detection nodes to generate sensor schemes and perform detection according to these schemes. This application achieves scene-based, refined, and adaptive sensor control through the synergy of scene adaptation, dynamic evaluation, intelligent point selection, and refined control. This ensures precise matching of sensor control strategies with environmental requirements, guarantees a dynamic balance between energy consumption and accuracy, and optimizes sensor resource allocation, comprehensively improving the accuracy, adaptability, and energy economy of intelligent terminal sensor control.

This provides an indicator for checking the condition of the queen bee in beekeeping without opening the hive. [Solution] The queen bee status indicator comprises a main body attached to the side wall of the beehive and a display unit that changes color or shape in response to the presence of a queen bee. Inside the main body 1 is an adsorption layer 3 that adsorbs odor components including pheromones derived from the queen bee, and the display unit provided on the main body displays the queen bee's status by changing color or appearing a pattern according to the adsorption state, thereby providing visual information from the outside.

This utility model relates to the field of Panax notoginseng cultivation technology, specifically a biological control device for diseases and pests in Panax notoginseng cultivation. It includes a base, with two first supporting vertical plates on the top of the base. A biological trapping component is connected to the top of the two first supporting vertical plates. The biological trapping component includes a rectangular vertical tube, with a sponge pad in the upper middle part of the rectangular vertical tube and a frame-shaped insert plate in the lower middle part of the rectangular vertical tube. An electric grid is installed inside the frame-shaped insert plate. Two second supporting vertical plates are also provided on the top of the base, with a supporting horizontal plate supported by the top of the two second supporting vertical plates. A pheromone injection component and a driving component are located on the top of the supporting horizontal plate. This biological control device for diseases and pests in Panax notoginseng cultivation effectively attracts diseases and pests through the slow release of pheromones, significantly reducing the use of chemical pesticides. This method not only reduces environmental pollution and protects soil and water sources but also avoids harm to beneficial insects, helping to maintain ecological balance.

This invention discloses a robot movement path planning method based on ant colony optimization algorithm. It includes the following steps: environmental modeling of the robot's movement space using a grid method to obtain a grid map, with grid coordinates representing the robot's starting and ending positions; generating an initial path on the grid map using a jump-point search algorithm, and calculating the non-uniform initial pheromone concentration distribution along the initial path; searching for the optimal path on the grid map using the ant colony optimization algorithm; eliminating redundant nodes on the optimal path and performing smoothing processing to obtain the robot's movement path. This invention improves convergence speed and search efficiency by using a non-uniform distribution of the initial pheromone concentration in the grid map, and shortens the planned path length by eliminating redundant nodes on the optimal path and performing smoothing processing.

This invention discloses a distribution cabinet load optimization system based on ant colony optimization, belonging to the field of power system automation technology. It includes a data acquisition module, a load analysis module, an ant colony optimization module, an execution control module, and a data storage module. These modules are electrically connected sequentially and work together to dynamically optimize the distribution cabinet load. The ant colony optimization module uses "load balancing, reduced distribution losses, and guaranteed power supply stability" as multi-objective optimization goals. It constructs an optimization model based on load analysis results and solves the optimal load allocation scheme using an improved ant colony algorithm. The improved ant colony algorithm uses a "maximum-minimum multiplication and minimum" strategy to update pheromones. Through the collaborative work of these modules, combined with the improved ant colony algorithm and multi-objective optimization strategy, this system effectively solves the technical problems existing in current distribution cabinet load optimization, such as poor algorithm performance, uneven load allocation, insufficient power supply stability, and low operation and maintenance efficiency.

The application discloses a kind of urban airspace multi-unmanned aerial vehicle task allocation methods based on task structure perception, comprising the following steps: constructing urban airspace map, establishing "task-task" and "task-unmanned aerial vehicle" pheromone matrix;According to task front constraint relationship, directed acyclic graph is constructed, and it is determined to satisfy optional task set;According to optional task set, based on "task-task" pheromone matrix and heuristic information of task structure perception, task allocation sequence is gradually structured;And for each task, according to "task-unmanned aerial vehicle" pheromone and heuristic information, incremental construction unmanned aerial vehicle alliance;When a group of schemes and once iteration are completed, local pheromone and global pheromone update are respectively executed;When satisfying maximum iteration number, the final task allocation scheme is obtained.The method improves the perception ability to task structure, avoids combination space explosion problem while meeting a variety of constraint conditions, and improves the efficiency of solving optimal scheme.

The application discloses a network cloud resource scheduling method, device, system, equipment, medium and product, and the method comprises the following steps: step 1, initializing a virtual machine list, a physical host list, an ant quantity and an initial pheromone concentration; step 2, obtaining an initial matching solution set; step 3, calculating an expected degree corresponding to the mth ant; step 4, calculating a selected probability based on the expected degree; step 5, placing the selected virtual machine according to the selected probability; step 6, calculating a load balancing factor according to the resource capacity of each physical host; step 7, calculating a heuristic function according to the load balancing factor; step 8, calculating a state transition probability of the mth ant according to the heuristic function; step 9, updating the next physical host selected to the current physical host according to the state transition probability; step 10, searching is completed, and the initial matching solution set is updated; and step 11, outputting the updated matching solution set, so that efficient scheduling of network cloud resources is realized.

The application provides an intelligent terminal sensor control method and system based on an ant colony algorithm, which comprises the following steps: determining scene nodes and scene features in a route and task priorities; determining a current scene node; controlling each intelligent terminal to periodically broadcast through a low-power communication module; evaluating an efficiency-energy consumption ratio and mapping the result as pheromone concentration in the ant colony algorithm; selecting an intelligent terminal as a detection node; and controlling the detection node to generate a sensor scheme and detecting according to the sensor scheme. Through the cooperation of scene adaptation, dynamic evaluation, intelligent point selection and fine control, the application realizes scene, fine and self-adaptation of sensor control, so that the sensor control strategy is accurately matched with the environmental demand, the dynamic balance of energy consumption and precision and the optimal configuration of sensor resources are ensured, and the precision, adaptability and energy economy of the intelligent terminal sensor control are comprehensively improved.