36 results about "Occupancy rate" patented technology

The invention discloses a hotel guest room number ratio optimization method combining a room yield dynamic state and a building area parameter, and relates to the technical field of building layout optimization, and the method comprises the steps: 1, giving a partition, a settable net region and a priori contraction solution space through structural grids, curtain wall division, shaft buffer superposition and morphological erosion reduction, and carrying out the optimization of the room yield dynamic state and the building area parameter; the method comprises the following steps of 1, building a partition-house type robust optimization and integration MILP and shadow price guidance geometric fine tuning, 2, rewriting settable variables by using a furniture interference convolution kernel and electromechanical / wireless software elements and considering the modulus risk of a curtain wall, 3, mapping a door opening-aisle-exit, converting into path and capacity constraint, and eliminating posteriori check, 4, building partition-house type robust optimization and integration MILP and shadow price guidance geometric fine tuning, and 5, building a partition-house type robust optimization and integration MILP and shadow price guidance geometric fine tuning. And step 5, triggering re-solving through three-anchor-point write-back, AP RSSI and return air static pressure recharging, realizing an auditable closed loop, improving compliance, room yield and construction controllability, and reducing the risk of non-standard curtain walls and reworking.

The invention discloses a bus dedicated path planning method and system for coping with multi-dimensional consideration, and relates to the technical field of path planning, and the method comprises the steps: synchronously collecting the multi-dimensional data of a target road section, and calculating a real-time traffic entropy value based on an information entropy theory; determining participants, performing auditing to generate an effective bidding list, regarding road use right distribution as a cooperative game problem, calculating marginal contribution of each game subject by adopting a Shapley value algorithm, and screening an optimal bidding combination; dividing traffic state intervals, combining the optimal bidding combination, the real-time traffic entropy and the exclusive lane occupancy rate, deciding the right to use according to an interval allocation rule, and generating a standardized allocation scheme; and converting the distribution scheme into a V2X broadcast instruction to be pushed, completing dynamic lane mark switching and passing guidance, collecting feedback data in real time to judge whether deviation occurs, and if the deviation is judged, dynamically adjusting the scheme and re-executing the scheme, thereby realizing dynamic optimal configuration of bus lane resources and system stability.

This invention provides a method, central control device, and processing system for handling loose pallets. The method includes: acquiring parameter information for each loose pallet in a temporary storage area and the corresponding occupancy rate of the temporary storage area; wherein the parameter information includes the storage duration of the loose pallet in the temporary storage area, and the number of cigarette cases placed on the loose pallet is less than the number of cigarette cases placed on a full-load pallet; if the storage duration of the target loose pallet in the temporary storage area exceeds a preset storage duration threshold, or the occupancy rate of the temporary storage area corresponding to the target loose pallet exceeds a preset occupancy rate threshold, then all loose pallets in the temporary storage area whose cigarette case specifications are the target specifications are identified as loose pallets to be reorganized, wherein the target specifications are the specifications corresponding to the cigarette cases placed on the target loose pallets; performing a loose pallet reorganization operation on the loose pallets to be reorganized to reduce the number of loose pallets to be reorganized and / or obtain at least one full-load pallet after reorganization. This invention can improve the turnover efficiency of loose pallets and reduce inventory redundancy.

The invention relates to the technical field of big data service platforms, in particular to a government affair big data public service platform method, which comprises the following steps: a service chain definition step: analyzing a government affair data service request submitted by a user, and generating a government affair data service chain comprising a plurality of service nodes; a dynamic authority anchoring step: constructing a cross-department authority certificate chain based on a block chain, verifying the data use authority of a service node operator, and embedding an authority traceability label; a data consanguinity packaging step: extracting a data ontology layer, constructing a consanguinity metadata layer and a service interface layer, and forming a standard data container; and a service chain self-optimization execution step: monitoring the resource occupancy rate of each service node in real time, carrying out edge unloading and parallel execution on the container with the resource pressure overload, and finally outputting an integrated result. According to the method, service chain structured modeling, authority dynamic verification, data full-process traceability and computing resource adaptive scheduling are realized, and the security, controllability and execution efficiency of government affair data service are improved.

The application provides a port area collection and distribution automatic driving vehicle and cargo cooperative path planning method and system, and relates to the technical field of intelligent traffic and port logistics. The method comprises setting short-time and long-time storage thresholds, dividing containers into short-time and long-time storage groups, adopting dispersed container trucks and centralized container pickup for fast queuing and port departure for the former, and transferring the latter to a rear collection and distribution center in one time; adopting a multi-agent PPO model to jointly optimize a multi-objective reward function comprising short-time container, long-time container retention penalty, full load rate reward, empty load mileage penalty, yard cost saving reward and delay penalty; combining LSTM traffic prediction to update space-time graph edge weight, and applying return load pre-matching, time window synchronization and safe distance constraint; and realizing second-level to minute-level re-planning through closed-loop online learning. The application effectively reduces yard occupancy rate and storage cost, reduces vehicle empty load ratio, improves collection and distribution efficiency and safety, and has high industrial application value.

The invention discloses a parking business marketing strategy optimization method and system, and relates to the related technical field of intelligent parking, and the method comprises the steps: obtaining a user navigation terminal point, a target parking lot occupancy rate and a user travel feature in real time; calculating a distance attenuation coefficient between the user travel and the parking lot through a dynamic matching engine, and triggering pushing when the distance attenuation coefficient reaches a threshold value; based on the real-time occupancy rate and the predicted arrival time, dynamically generating triple aging parameters including receiving, payment and failure logic; generating a dynamic preferential strategy matched with the current scene; when the user approaches the destination, a dynamic policy push with countdown is performed. The technical problems of low parking resource matching efficiency and poor marketing conversion rate due to the fact that accurate and timely marketing touch cannot be performed based on the real-time journey of the user and the dynamic state of the parking lot in the prior art are solved, and the purposes of improving the accuracy, timeliness and user experience of a parking service marketing strategy and improving the user experience are achieved. And the scheduling efficiency of the parking resources and the business conversion rate are improved.

The embodiment of the invention provides a cache disk service life management method and device, storage equipment, a monitoring node and a medium, and relates to the technical field of distributed storage, and the technical scheme of the embodiment of the invention comprises the steps that the storage equipment obtains the highest service life wear rate and the lowest service life wear rate of a cache disk of each piece of storage equipment in a storage cluster according to a specified period, if the highest service life wear rate is smaller than a first wear rate threshold value, the lowest service life wear rate is the service life wear rate of a first cache disk of the storage equipment, the difference value between the highest service life wear rate and the lowest service life wear rate is larger than or equal to a preset difference value, and the space occupancy rate of a storage disk of the storage equipment is smaller than a space occupancy rate threshold value; if yes, increasing the write-in weight of the storage disk by a preset value to obtain an updated write-in weight, and reporting the updated write-in weight to the monitoring node, so that the monitoring node updates the write-in weight of the storage disk stored in the mapping information. And the problem of non-uniform service life of the NVME SSD by a distributed storage cluster is solved.

The utility model belongs to the bathroom cabinet technical field, specifically is a bathroom cabinet with hidden storage layer, including the cabinet body, the cabinet body inboard wall symmetry is fixed with a plurality of groups of turnover slide rails, the turnover slide rail side wall is fixed with the fixed column, the cabinet body inside is provided with the turnover partition cabinet, the turnover partition cabinet upper and lower end is provided with the slide rail column and the center column, the inboard wall sliding connection of turnover slide rail has the slide rail column, the center column and fixed column middle part sleeve connection has the connecting rod, the connecting rod and fixed column and center column are rotation connection, the turnover partition cabinet front and back side wall is fixed with the handle and the baffle, through being provided with the turnover mechanism, realize the storage space of hidden type, the storage privacy and the storage article of not should emergency are convenient, utilize the rate of space simultaneously, reduce the occupancy rate to bathroom space.

This invention discloses an inventory management method and system for a cloud-synchronized Netman shopping cart management system. The method creates a pre-occupancy pool in a Redis in-memory database, containing total inventory, available inventory, cart-occupied inventory, and order-locked inventory. Atomic inventory pre-occupancy operations are implemented using Lua scripts. When a user adds an item to their cart, the system reads available inventory, queries existing occupancy records, calculates the additional occupancy quantity, atomically updates the inventory pool fields, and writes the occupancy information. The system uses a Workerman timer to implement an automatic release mechanism after 1800 seconds, dynamically adjusting the release time based on the inventory occupancy rate. During checkout, the system uses Lua scripts to convert cart occupancy into order locks. This invention solves the performance bottleneck problem of inventory verification in high-concurrency scenarios, avoids overselling and inventory inconsistencies, reduces response time to milliseconds compared to traditional solutions, increases concurrency processing capacity by five times, and improves inventory utilization by 30%.

The embodiment of the invention provides a traffic scheduling method and device, and relates to the technical field of communication, the method is applied to a management center, and the method comprises the steps: receiving an alarm message sent by a firewall device, the alarm message being that the occupancy rate of the firewall device in a first CPU core reaches a preset alarm threshold in a continuous preset period, the firewall device is sent under the condition that the occupancy rate of the second CPU core with the lowest occupancy rate in the firewall device is lower than a preset alarm threshold; acquiring flow monitoring information of each data flow received by the first CPU core and reported by the firewall equipment and an overload reason of the first CPU core, and identifying elephant flows in each data flow based on the flow monitoring information of each data flow; determining an adjustment strategy for the elephant flow based on the overload reason; and issuing the adjustment strategy to the firewall device, so that the firewall device schedules the elephant flow based on the adjustment strategy. According to the scheme, on the premise that the performance pressure of firewall equipment is not increased, the elephant flow is scheduled, and overload of the CPU core is avoided.

The invention discloses a charging pile occupancy rate prediction method and device, a processor and electronic equipment. The method relates to the technical field of electric vehicles, and comprises the steps that a plurality of time-space sub-graphs corresponding to a plurality of charging piles in an area are acquired, and one time-space sub-graph is used for indicating at least two pieces of state data of one charging pile; under the condition that at least two time-space sub-graphs meeting an expected condition are determined from the multiple time-space sub-graphs, the at least two time-space sub-graphs are combined to obtain a time-space sub-graph cluster, and the expected condition is used for indicating that the similarity degree of the at least two time-space sub-graphs is larger than a preset threshold value; feature reconstruction is carried out on each time-space sub-graph in the time-space sub-graph cluster, and the reconstructed time-space sub-graphs indicate more state data of the charging pile; and predicting the occupancy rate of the charging piles in the area by using the reconstructed time-space sub-graph cluster.

The invention relates to the technical field of artificial intelligence and cinema scheduling, and provides a cinema scheduling method and device based on AI prediction, and the method comprises the steps: taking movie and session features as input, taking the historical attendance as a label, training a model, predicting the single-site attendance of a combination of a movie f, a movie hall h and a session t, and calculating the single-site income through combining the number of seats and the ticket price. Setting a binary decision variable to represent whether the combination is arranged or not, constructing a target function and a constraint condition for maximizing the total income, and generating an initial arrangement plan; and inputting the initial scheduling plan into a cinema digital twin model for energy consumption simulation to obtain the total energy consumption of single-field equipment. And optimizing the initial plan based on energy consumption, income and constraint conditions, and finally outputting an optimized scheduling plan. According to the method, full-link datamation and intelligentization of the scheduling decision are realized, the scientificity and accuracy of scheduling are greatly improved, the commercial income appeal is met, the operation feasibility is guaranteed, and the cost control and environmental protection requirements are also considered.

Embodiments optimize hotel room overbooking limits for reservations of hotel rooms of a hotel. Embodiments receive historical reservation data and determine an upgrade offer acceptance probability as a function offer price based on the historical reservation data. Embodiments determine a premium category occupancy distribution based on the historical reservation data and determine a basic category cancellation distribution based on the historical reservation data. Embodiments determine an optimal upgrade price as a function of overbooked rooms from the upgrade offer acceptance probability and determine a marginal revenue as a function of overbooked rooms based on the determined premium category occupancy distribution and the determined optimal upgrade price as a function of overbooked rooms. Embodiments determine a marginal loss as a function of overbooked rooms from the basic category cancellation distribution.

Even if the entire shelf does not fit within the field of view of the sensor measuring the shelf, the system can still measure the degree to which the shelf is filled with goods. [Solution] The measurement method involves receiving an image of the shelf and a depth image indicating the distance to the shelf from a sensor that moves along the shelf where the luggage is stored and photographs the shelf. If a predetermined marker placed on the shelf is detected from the image, the position of the detected marker is used as a reference point to set a measurement range in the depth image, and the occupancy rate of the luggage within the set measurement range is measured using the depth image.

This invention relates to a refined method and medium for estimating the population buried in earthquakes, belonging to the field of population data extrapolation technology. First, based on remote sensing data, the functional types of buildings in the target area are identified, thereby obtaining the population weight of each functional type of building. This allows rescue forces to accurately locate each high-risk building after an earthquake, rather than a vague area. Second, for each building, based on its functional type, building area, and population weight, the building-scale population is calculated, and the collapse rate and occupancy rate at the time of the earthquake are obtained, thus dynamically estimating the number of people buried. In this way, a more refined spatial distribution of the buried population can be obtained by integrating various complex nonlinear potential influencing factors, providing a more scientific and effective decision-making basis for earthquake emergency response.

The invention discloses a prediction method, device and product oriented to an urban residence occupancy rate, and relates to the field of data prediction.The method comprises the steps that time sequences of multiple target variables in a time window are obtained, the time sequences of the multiple target variables form a target matrix, and the target variables are influence factor variables of the urban residence occupancy rate; inputting the target matrix into a residence occupancy rate prediction model based on deep learning, and obtaining a predicted value of the residence occupancy rate through the residence occupancy rate prediction model; the residence occupancy rate prediction model comprises a first stage module and a second stage module which are stacked; the first stage module is used for extracting correlation features among different target variables, the second stage module adopts different sampling strategies to realize feature sampling, influences of local anomalies are reduced when time sequence dependency features are extracted, accurate prediction of the urban residence occupancy rate can be realized, and the accuracy of the urban residence occupancy rate is improved. The problem of insufficient prediction precision of the urban residence occupancy rate in the prior art is solved.

The application belongs to the field of fabricated formwork, and particularly relates to a combined connecting module of fabricated building and a combined plate body structure thereof. The existing fabricated building has the problems of high manufacturing cost, long device connecting period, high space occupancy rate of single component, difficult transportation and small single transportation amount due to special structural design. The present application provides the following scheme, which comprises a plurality of connecting plates and a plurality of formworks. The connecting plates are located between the formworks and used for connecting two formworks. The connecting plate is fixedly connected with a first plug-in plate and two symmetrically arranged third plug-in plates on both sides. In the application, the combined connecting module of fabricated building and the combined plate body structure thereof are provided. The connecting piece and the module plate structure are combined and spliced, so that the module can be quickly fixed and has stable connecting strength. The profiled plate or strip plate is used as the connecting structure between the combined plate body structures, and can be fixed in cooperation with the connecting piece.

The invention relates to the technical field of logistics analysis, and discloses a data analysis method and system for an e-commerce logistics resource utilization rate, and the method comprises the steps: collecting data in a logistics warehouse and calculating a warehouse occupancy rate CZ, collecting data in a transport vehicle and calculating a transport occupancy rate YZ, collecting the working data of logistics personnel and calculating a personnel occupancy rate RZ, and carrying out the calculation of the logistics personnel occupancy rate RZ; comparing the calculated occupancy rate with a corresponding threshold value, performing adjustment when the occupancy rate is lower than the threshold value, keeping unchanged when the occupancy rate is not lower than the threshold value, calculating an analysis value FX, and displaying the calculated analysis value FX in a broken line graph manner; according to the method, the utilization rates of three core resources of storage, transportation and personnel are uniformly incorporated into an analysis system, so that the problem of lack of global perspective integration analysis due to data dispersion in traditional analysis is solved, global resource monitoring can be realized, and accurate analysis can be performed according to the analysis value FX calculated according to the three utilization rates.

The invention belongs to the field of data processing, and provides a smart hotel management method and system, and the method comprises the steps: generating an occupancy tendency expectation of each room through combining the substantial power utilization occupancy and the substantial respiration occupancy of each room, and carrying out the weighting of the substantial duration occupancy based on the occupancy tendency expectation, and generating a rest tendency expectation of each room; and judging each room according to the relative relationship between the occupation tendency expectation and the rest tendency expectation of each room, and sending a control instruction to the equipment system of the corresponding room according to the judgment result so as to control the self-adaptive switching of the room equipment operation mode. Therefore, while the comfort of the user at night is ensured, the start-stop frequency and the overall energy consumption of the equipment are effectively reduced, the noise interference is reduced, and the complaint probability of the user in the next day is reduced.

A time-domain scheduling method, apparatus and system, which belong to the technical field of communications. The method comprises: after sending an m-th scheduling message to a first network node, a control node receiving a feedback message, which is sent by the first network node and is used for indicating a first occupancy rate, and sending an (m+1)-th scheduling message to the first network node, wherein the m-th scheduling message is used for indicating a first air interface resource allocated to the first network node; the first network node is any one of at least one network node; the first occupancy rate is the occupancy rate of first data for the first air interface resource, and the first data is data transmitted after the first network node has competed for and obtained an air interface on the first air interface resource; the (m+1)-th scheduling message is used for indicating a second air interface resource allocated to the first network node; and the resource amount difference between the second air interface resource and the first air interface resource is positively correlated with the first occupancy rate. The present application can improve the sending efficiency in a network, and the present application is used for time-domain scheduling on a network node.

A method for constructing a pre-fabricated component of a building, including: configuring a pre-fabricated component of a building based on energy informed modelling; wherein the pre-fabricated component is able to be assembled with at least one other pre-fabricated component into the building at a final site for the building. A method for constructing a building, including: performing site analysis to determine at least one environmental condition; and optimizing at least one pre-fabricated component of the building based on energy informed modelling based on one or more of historical data of a location of the building, weather patterns of the location, climate data of the location, temperature data of the location, solar data of the location, orientation data of the location, occupancy rate of the building, building insulation data, ventilation and infiltration data, exterior fenestration, shades implementation, or pre-fabricated component configuration.

This invention discloses a method and system for resource allocation between network slices based on resource penalties, relating to the field of slice resource allocation technology. The method includes: receiving slice data of a network slice, wherein the slice data includes the total number of allocated physical resource blocks in the network slice and the service data corresponding to the network slice; calculating the throughput of the service based on the service signal-to-noise ratio and the number of occupied physical resource blocks; calculating the service performance index based on the service throughput and average latency; calculating a resource weighting amount based on the service congestion rate and a pre-determined physical resource block occupancy rate; calculating a comprehensive index based on the service performance index and the resource weighting amount; adjusting the resource allocation priority based on the comprehensive index and a preset starvation algorithm; and updating the total number of physical resource blocks in the slice based on the adjusted resource allocation priority to achieve resource allocation of the network slice.

The utility model relates to a building cable bridge with a fireproof function, and aims to solve the technical problems of high occupancy rate and low structural strength and stability in the use process of the cable bridge, the building cable bridge comprises a bottom plate and a top cover, the top cover is sleeved between two side plates and slides along the length direction of the side plates, and the bottom plate is arranged on the bottom plate. The top of the bottom plate is fixedly connected with a wire arrangement device located in the containing space. An existing building cable bridge is improved, the inclined grooves are formed in the tops of the two side plates, and the inclined plate is arranged at the bottom of the top cover, so that the top cover moves in the inclined grooves, the space utilization rate is increased, the working efficiency is improved, the reinforcing structures are arranged on the side plates, the overall structural strength of the bridge is enhanced, and the service life of the bridge is prolonged. By arranging the reinforcing structure, the contact area between the bridge and air is increased, the operation temperature of the cable is reduced, the current-carrying capacity and the use performance of the cable are improved, and the problems of structural deformation and stability are solved.

To provide gym owners with methods to achieve efficient customer acquisition and improved occupancy rates. [Solution] In a server 1 that supports user U's reservation to use Gym G, the management unit 101 acquires and manages the gym information for each of Gym G1 to Gn and the user information of user U. The request reception unit 102 receives the user's request information. The extraction unit 103 and presentation unit 104 extract one or more Gym Gs that match the user's request from each of the managed Gym G1 to Gm and present them to user U. The reservation reception unit 105 accepts the user U's reservation application for one of the Gym Gs presented to user U.

This invention relates to the field of equipment scheduling technology and discloses a dynamic resource priority intelligent allocation method based on an equipment scheduling system, comprising the following steps: S101, collecting equipment status data and resource status data; S102, classifying tasks and calculating task urgency; S103, calculating a resource heat index by combining the idleness of each on-site execution resource with the moving average occupancy rate within a sliding time window; S104, calculating a spatiotemporal potential value based on the shortest feasible path distance between the task and the on-site execution resource, the resource heat index, and the current cumulative waiting time; S105, constructing a fit matrix based on the task urgency, resource heat index, and spatiotemporal potential value; S106, performing optimization calculations to obtain the final allocation result of the task and the on-site execution resource. This invention achieves intelligent matching of tasks and resources driven by multiple factors, significantly improving scheduling efficiency and system response capability.

A method and system for controlling elevator operation. The system comprises: at least two cameras (110) arranged at different positions on the top of an elevator and facing a floor space of an elevator car, each camera (110) of the at least two cameras (110) being configured to capture an image corresponding to a field of view of the camera; an image processor (120), configured to acquire the images captured by the at least two cameras (110), and perform fusion processing on the images to determine a projection area of an object in the elevator on a floor of the elevator car; and a controller (130), configured to determine an elevator occupancy rate on the basis of the determined projection area, and control the operation of the elevator on the basis of the determined elevator occupancy rate.

The application relates to a library space service efficiency optimization method and system based on big data. The method comprises the following steps: acquiring real-time space occupancy rate data of each functional area in a library and real-time reader flow data of each connecting channel; based on the real-time space occupancy rate data and the real-time reader flow data, each functional area is divided to obtain a high-demand area set and a potential conversion area set; based on the high-demand area set, the real-time reader flow data and a library space topology graph, the safety of each functional area in the potential conversion area set is evaluated to obtain a safety evaluation index, and based on the safety evaluation index, a functional area is selected from the potential conversion area set to form a target conversion area set; based on the real-time reader flow data and the library space topology graph, paths from the functional areas in the high-demand area set to the functional areas in the target conversion area set are planned to obtain a set of dredging paths, and a space layout optimization instruction is generated. The method can improve the library space service efficiency.

This invention provides an intelligent recruitment process control method and system based on task status and action type. The method includes the following steps: acquiring multi-dimensional input data of the recruitment process and converting it into a standardized task status feature vector, wherein the task status feature vector includes at least a process progress quantification value, candidate interaction feedback parameters, resource occupancy rate, and target achievement degree; constructing a collaborative decision-making system of preset decision rules and reinforcement learning model; this invention dynamically adjusts the execution strategy by collecting multi-dimensional task status features in real time and combining them with the adaptation logic of candidate action types, which can flexibly respond to various changes in the recruitment scenario and achieve accurate matching between the process and the real-time business scenario.

The invention discloses a log data management method and device, equipment and a medium, and relates to the technical field of log management, and the method comprises the following steps: obtaining log data, and storing target metadata corresponding to each log data and the log data into an annular buffer area; the target metadata comprises event types, log sources, keywords and timestamps; determining a priority score of each log data based on the target metadata, and respectively storing target pointers corresponding to the log data to corresponding priority queues based on the priority scores; the target pointer is a pointer or an index pointing to the log data stored in the annular buffer area; and if the residual space of the annular buffer area does not meet the preset condition, determining a queue to be eliminated in the priority queue based on the current occupancy rate of the annular buffer area, and eliminating the corresponding log data in the annular buffer area based on a target pointer in the queue to be eliminated so as to complete management of the log data. The key information can be reserved preferentially according to the importance of the log.

The invention discloses a geometric feature-based multi-story building point cloud automatic segmentation method, a geometric feature-based multi-story building point cloud automatic segmentation system, a medium and a geometric feature-based multi-story building point cloud automatic segmentation device, which relate to the technical field of building digitization and aim at realizing high-precision and automatic segmentation of multi-story building point cloud from whole to local. According to the method, firstly, the calculation complexity is reduced through voxelization preprocessing, horizontal voxels are screened in combination with normal estimation, and then accurate layering of multiple floors is achieved through Z-axis occupancy rate peak detection; secondly, extracting a top point cloud to construct a two-dimensional occupancy map, and inputting the two-dimensional occupancy map into an improved region growing strategy to realize room segmentation; and finally, based on a random sampling consistency algorithm, realizing wall segmentation by introducing geometric constraints and combining a plane merging strategy. Therefore, a floor-room-wall three-level hierarchical segmentation method is constructed, and high-precision structured data support is provided for subsequent point cloud data application.