46 results about "Business hours" patented technology

To allow a traveler to save effort spent on checking delicious restaurants and famous sightseeing spots, and effort spent on determining optimal routes taking into account business hours, etc. and to automatically generate optimal routes for the traveler's preference.SOLUTION: Provided is a system comprising means for acquiring location information of a traveler, means for automatically detecting nearby spots, means for extracting places that might interest the traveler, and means for automatically generating optimal routes.SELECTED DRAWING: Figure 1

The invention relates to the technical field of commodity purchase-sale management, in particular to a commodity purchase-sale-stock real-time management system. The commodity purchase-sell-stock real-time management system is provided. According to the invention, the environment sensing module collects dynamic data during the business period in real time, including the real-time stock of commodities, the remaining time of the shelf life of the commodities, the passenger flow volume of nearly 10 minutes and the like, thereby effectively solving the problem that the data update of a traditional purchase-sales-stock system is lagged, ensuring the real-time accuracy of stock and price information, and improving the real-time performance of the purchase-sales-stock system. Meanwhile, whether the commodities need to be replenished or not is judged in real time through a dynamic analysis module according to a preset safety inventory threshold value, the safety replenishment amount is calculated, the risk of stockout or excessive accumulation is reduced, the inventory turnover rate is increased, a price reduction sales promotion instruction is automatically triggered through the dynamic analysis module according to the real-time risk value of the commodities and the preset threshold value, and the price reduction sales promotion efficiency is improved. The price is quickly refreshed by using the electronic price tag, and the freshness change of the short-term preserved commodity is responded in time, so that the high loss rate is reduced, and the shopping experience of customers is improved.

The invention relates to the technical field of cashier data monitoring, and particularly discloses a cashier data monitoring management system based on data analysis, and the system specifically comprises a cashier data module which obtains a cashier transaction time value, carries out the judgment, and obtains an abnormal transaction. The method comprises the following steps: acquiring a cashier transaction record time value, judging whether the transaction record time value is in a normal business time period or not based on the normal business time period of a merchant, and if not, marking the transaction as an abnormal transaction, so that the abnormal transaction in the cashier record can be acquired in time; calculating an abnormal time characterization value and an abnormal amount characterization value of the abnormal transaction, substituting the abnormal time characterization value and the abnormal amount characterization value into a formula to calculate a risk judgment value, judging the risk degree of the abnormal transaction in each analysis period in the non-business time, generating a low-risk signal or a high-risk signal, and sending the low-risk signal or the high-risk signal to the server. Therefore, timely response can be carried out based on the abnormal transaction risk degree, and potential risks caused by abnormal transactions are reduced.

The invention discloses a random geometry-based cellular network signal-to-interference ratio distribution analysis method, which comprises the following steps of: constructing a cellular space node distribution, service time arrival and equipment energy state three-dimensional model; therefore, a receiving end signal to interference ratio expression, a conditional transmission success probability of the equipment and an overall active probability of the equipment in a stable state are obtained, a moment generation function of a final transmission success probability is obtained by utilizing random geometry, and finally an expression of cellular network signal to interference ratio element distribution is obtained by utilizing a Gil-Pelaez theorem. And the proportion of the successful transmission probability of the equipment in the cellular network can be analyzed by using the expression. The method disclosed by the invention is applied to a large-scale cellular network with randomly distributed equipment positions, the characteristics of equipment energy, storage and the like are considered, the system performance can be effectively evaluated, and the influence of parameters such as a signal-to-interference ratio threshold value and an energy arrival probability on signal-to-interference ratio element distribution is analyzed.

The invention relates to the technical field of data analysis, and discloses an entity industry data analysis method and system based on AI training, the system comprises a data acquisition unit, a data analysis unit and an information display unit, entity operation data is widely collected from multiple data sources, comprehensive multi-dimensional information is provided for enterprises, and the data analysis efficiency is improved. The user is helped to accurately know the own operation condition; meanwhile, business and standard time periods are divided to determine sales peak, valley and normal time periods, so that an enterprise can reasonably arrange staff scheduling and business time, the operation efficiency is improved, and the cost is reduced; the commodities are classified according to the sales evaluation value, the inventory management is optimized, the purchase and production plans are adjusted, and the operation risk is reduced; through combined sales analysis, a set is generated and the frequency is calculated, a high-potential commodity combination is determined, the sales volume of unsalable commodities is improved, the sales of the unsalable commodities is driven, and the overall sales volume and the customer satisfaction are improved. And results are displayed to sales personnel, so that the sales personnel can perform targeted popularization and service, and the working efficiency and performance are improved.

One or more embodiments relates to a method for protecting a system during non-business hours. The method comprising: initiating, by a data manager and based on a security policy, a secure period; receiving, after the initiating, a first data operation request from a client device on a customer system; making a first determination that the first data operation request specifies a destructive operation of data in a storage system; making a second determination, using the security policy, that the first data operation request is restricted; and restricting, in response to the second determination, destructive operations of data specified in the first data operation request.

The system according to the embodiment aims to propose an optimal lunch menu based on the user's preferences and health condition, and to provide related information. [Solution] A system according to an embodiment includes a collection unit, a generation unit, an information provision unit, and a linking unit. The collection unit collects information input by a user. The generation unit analyzes the information collected by the collection unit and generates a lunch menu. The information provision unit provides business hours, congestion levels, and map information based on the lunch menu generated by the generation unit. The linking unit makes payments and reservations based on the information provided by the information provision unit.

A method for providing a responsive banner, according to an embodiment of the present disclosure, is performed by a computing device, and may comprise the steps of: analyzing a user's activity for a first time period to obtain a menu item of interest of the user; searching for a stores selling the obtained menu item of interest if the user has not placed an order within the first time period; selecting a recommended store from among the stores searched in consideration of the user's location, the user's order history, and business hours and ratings of the stores; generating a banner including information about the selected recommended store; and displaying the generated banner to the user.

A wireless tag (2) is installed on equipment (1) used in a facility (200). A wireless tag reader (10) and a camera (20) are installed at the entrance (202) of the facility. The server (12, 22) associates an image of each equipment (1) with identification information and stores the image, and also stores image data captured by the camera (20). The server (12) obtains inventory information of the equipment (1) at the opening and closing times based on the reception history of the wireless tag reader (10), compares the inventory information, and thereby detects identification information of equipment (1) taken out of the facility (200) during business hours. The server (12) uses the detected identification information to estimate the time when the equipment (1) was taken out based on the reception history of the wireless tag reader (10). The server (22) analyzes the captured image data of the estimated time of taking out, thereby detecting a captured image containing an image of the equipment (1), and provides equipment information containing the detected captured image.

1. The name of the design product: LED business light board. 2. The use of the design product: The design product is used to display business status and business hours information in commercial places, belongs to store identification devices, conveys daily business hours arrangement of the store to the public, and is suitable for various business scenes such as supermarkets, restaurants, retail stores, etc. 3. The design points of the design product: the combination of shape and pattern. 4. The picture or photo that best indicates the design points: front view. 5. The design product is a thin product, and other views are omitted.

The present disclosure provides a session management method, apparatus, server, and storage medium, belonging to the field of Internet technologies. The method includes: receiving a session change request carrying the theme duration of a specified theme activity, the start time interval between two adjacent sessions, and the business hours of a merchant, where the start time interval between two adjacent sessions is less than the theme duration; generating a session arrangement table corresponding to the specified theme activity according to the theme duration, the start time interval between two adjacent sessions, and the business hours, the session arrangement table being used to indicate the session distribution of the specified theme activity during the business hours; and sending the session arrangement table to a terminal. The present disclosure receives a session change request sent by a terminal, the session change request carrying the start time interval between two adjacent sessions of a specified theme activity. Since the start time interval between two adjacent sessions is less than the theme duration, there is an overlap in the session time periods of two adjacent sessions, so that the number of sessions arranged within the determined business hours increases, improving the session arrangement efficiency.

Systems and methods for the automated fulfillment of orders from a fulfillment network including consumer-facing retail locations. Orders are partitioned into suborders, which are in turn assigned to retail locations based on forecasted demand for the suborder items at the retail locations. The assignment process considers operational data for each retail location such as the number of employees, the inventory of suborder items, shipping rate cards, return policies, business hours, pick decline estimations, etc.

The present invention relates to the technical field of cash register data monitoring, and specifically discloses a cash register data monitoring and management system based on data analysis, which specifically includes: a cash register data module: obtaining a cash register transaction time value, making a judgment, and obtaining an abnormal transaction. The cash register transaction record time value is obtained, and based on the merchant's normal business hours, it is judged whether the transaction record time value is within the normal business hours. If not, the transaction is marked as an abnormal transaction, so that the abnormal transaction in the cash register record can be obtained in a timely manner. Based on the obtained abnormal transactions, the abnormal time representation value and the abnormal amount representation value of the abnormal transaction are calculated. The abnormal time representation value and the abnormal amount representation value are substituted into a formula to calculate a risk judgment value, and the abnormal transaction risk level of each analysis period during non-business hours is judged, and a low-risk signal or a high-risk signal is generated. Therefore, based on the abnormal transaction risk level, a timely response can be made to reduce the potential dangers caused by abnormal transactions.

This heat source unit, which is a constituent of a refrigeration device (1) provided with a showcase (50) having a first utilization heat exchanger (54) connected to a refrigerant circuit (11), comprises compression elements (21, 22, 23), a first pressure reducing mechanism (14) and a heat source heat exchanger (13) which are connected to the refrigerant circuit (11), a detecting unit (90) which detects the business status of a store having the showcase (50), and a control unit (C1) which controls the operation of the refrigeration device (1), wherein the control unit (C1) executes a first operation for restricting the operation of the refrigeration device (1) when it is detected that the store is outside business hours.

The application provides a method and system for calculating the time of delayed refund of a meal ordering system during business hours, a circulating queue is constructed, the circulating queue comprises multiple nodes, each node represents a time, the business state of each node is identified, a distance value is given to each business node, and the distance value represents the time length from the business node to the next business node; the first business node after the time of the user's refund application is found in the circulating queue, the automatic refund delay time is converted into m time intervals; in the circulating queue, m business nodes are traversed from the first business node, the distance value of each traversed business node is obtained and accumulated, and the time of automatic refund of the meal ordering system is calculated according to the time of the user's refund application and the accumulated value. The business state of each time and the distance to the next business node are identified by constructing the circulating queue, and the time of automatic refund during business hours can be quickly calculated.

The present application belongs to the field of commercial user power load electricity monitoring, and particularly relates to a non-intrusive load identification method based on user prior information and XGBoost-LSTM. A baseline load model is established by using XGBoost to effectively eliminate the relatively stable non-air conditioning load component in the total load; residual load sequence is modeled by combining LSTM, and user behavior prior information such as business hours, holidays and environmental characteristics such as meteorological temperature are used to capture the dynamic law of central air conditioning load changing with time and environment; through joint optimization of XGBoost and LSTM models, load decomposition of total load into baseline load and central air conditioning is realized. The method can maintain high identification accuracy under low sampling rate data, and provide reliable data support for commercial building central air conditioning energy consumption decomposition and energy efficiency management.

1. The name of the design product: calendar part of ticket booking graphical user interface of electronic device. 2. The use of the design product: an electronic device, the graphical user interface is used for users to book tickets or other tickets of scenic spots, and the calendar part is used to display the business hours of the scenic spots. 3. The design points of the design product: in the local part of the graphical user interface. 4. The picture or photo that best shows the design points: design 4 front view. 5. Design 4 is designated as the basic design. 6. The use of the graphical user interface: the graphical user interface is used for users to book tickets or other tickets of scenic spots, and the calendar part is used to display the business hours of the scenic spots. 7. The human-computer interaction mode of the graphical user interface: click the "17" icon of the third row of the date display part on the calendar in design 1 front view, change to design 1 interface change state diagram. Click the "18" icon of the third row of the date display part on the calendar in design 2 front view, change to design 2 interface change state diagram. Click the right arrow button of the year and month display part at the top of the calendar in design 3 front view, change to design 3 interface change state diagram. Click any other date icon of the date display part on the calendar in design 4 front view, which can display the opening situation of the corresponding date. The interaction mode of designs 5 and 6 is the same as that of design 4. Click the right arrow button of the year and month display part at the top of the calendar in design 7 front view, change to design 7 interface change state diagram. 8. Other circumstances that need to be explained: the design is a local design, the part not covered by the yellow translucent block is the calendar part, and the calendar part is requested to be protected. Color protection: designs 2, 5 and 6 requested to be protected include colors.

To realize energy saving of a freezer outside store opening hours.SOLUTION: A heat source unit constitutes a freezer (1) having a showcase (50) with a first utilization heat exchanger (54) connected to a refrigerant circuit (11), the heat source unit comprising: compression elements (21, 22, 23), a first pressure reduction mechanism (14), and a heat source heat exchanger (13) connected to the refrigerant circuit (11); a detection unit (90) that detects the business status of a store that has the showcase (50); and a control unit (C1) that controls the operation of the freezer (1). The control unit (C1) executes a first operation that limits the operation of the freezer (1) when it is detected that the store is outside of business hours.SELECTED DRAWING: Figure 7

This invention relates to the field of three-dimensional collaborative intelligent inspection technology. Specifically, it relates to a three-dimensional collaborative intelligent inspection method based on multi-source behavioral perception. It includes the following steps: S1, dividing the inspection area into inspection targets, collecting image data of the targets using unmanned vehicles and drones, and classifying the image data according to database standards; S2, determining the business status and classifying the image status based on the target's dedicated image database, while simultaneously connecting to security intelligent devices to establish a list of safe personnel; This invention utilizes a three-dimensional acquisition network encompassing ground, air, and indoor areas, with unmanned vehicles, drones, and security intelligent devices complementing each other, covering routine ground monitoring, enhanced aerial risk area acquisition, and indoor personnel verification, eliminating blind spots. Furthermore, it combines business status determination, regional data fusion, and damage feature comparison to focus on core risk scenarios during non-business hours.

To solve a problem that a finished shirt in which a collar and a shirt body are joined has the uneconomical property such that the entire shirt is washed when the collar is heavily stained even though the shirt body is less stained, and during summer, for example, when traveling to business locations, business people would sweat and sometimes meet their customers with sweat stains on their collars.MEANS: A shirt collar is removed from a shirt body as a replacement collar and a connecting member is provided, the shirt collar is cut at both ends in a longitudinal direction by a size of 1 cm from a joint between the shirt body and the collar to form a collar stand, and a detachable relative connecting member is provided between the replacement collar and the collar stand, so that the replacement collar and the shirt body side collar stand are configured to be detachable.SELECTED DRAWING: Figure 5

The invention provides a tourism route optimization method, system, device and medium, in the tourism route optimization method, route nodes corresponding to an initial tourism route of a user comprise scenic spot nodes, hotel nodes and traffic itinerary nodes, and the route nodes comprising various data types are obtained; the method comprises the steps of obtaining a unique traffic distance matrix corresponding to route nodes, optimizing an initial traffic time matrix according to a travel scene corresponding to an initial travel route to obtain an optimized traffic time matrix corresponding to the initial traffic time matrix, and optimizing the initial travel route according to the route nodes and the optimized traffic time matrix. According to the method, the initial tourism route is obtained, the optimized tourism route corresponding to the initial tourism route is obtained, the optimized tourism route represents the tourism route with the shortest total duration of travel in the business time of each scenic spot node, tourism route planning is more reasonable and close to reality, the diversified requirements of a user for considering time and distance are met, and the use experience of the user is improved.

To provide an information processing system that can automatically create basic yard plans.SOLUTION: An information processing system includes a basic yard plan creation unit, a vehicle dispatch plan creation unit, and an implementation yard plan creation unit. The basic yard plan creation unit uses information on multiple operation routes in a mobile object operation plan during business hours and information on the base yard regarding multiple storage locations where mobile objects are stored during or after business hours to create a basic yard plan for the base yard by continuously connecting multiple yard routes from the entry of a first operation route among the multiple operation routes, via storage at one of the multiple storage locations, to the exit of a second operation route following the first operation route. The vehicle dispatch plan creation unit creates a vehicle dispatch plan by assigning mobile objects to each of the multiple operation routes or multiple yard routes on a daily basis. When a change in the vehicle dispatch plan makes it necessary to create an additional yard route different from the multiple yard routes, the implementation yard plan creation unit creates the additional yard route by using a first yard route selected from the multiple yard routes.SELECTED DRAWING: Figure 6

The embodiment of the invention provides a bank outlet recommendation method and device, equipment and a medium, and is applied to the technical field of intelligent resource allocation and optimization. The method comprises the steps of obtaining a user set and a bank outlet set of a current time-space period; the current space-time period is a space-time unit formed by combining the time interval of the business time of a plurality of bank outlets in the bank outlet set and the positions of the bank outlets; according to the user set and the bank outlet set, calculating to obtain a first preference list corresponding to each user and a second preference list corresponding to each bank outlet; based on the first preference list, the second preference list, the current space-time period and the next space-time period of the current space-time period, pairing the user and the bank outlet to obtain a stable pairing set; and generating bank outlet recommendation information based on the stable pairing set. The technical effect of improving the recommendation accuracy of the bank outlets is achieved.

The present invention relates to an energy-saving control system for a freezer device, aiming to solve the problem of energy waste existing in the aspects of lighting, refrigeration, and monitoring of existing freezer devices. The system includes a lighting energy-saving module, a refrigeration energy-saving module, a monitoring and networking module, and a freezer interconnection configuration optimization module; the lighting energy-saving module intelligently adjusts the lighting mode according to the external light intensity, the proximity of people, and the cabinet door switch state; the refrigeration energy-saving module intelligently adjusts the refrigeration power according to factors such as the storage volume inside the cabinet, the temperature of items, business hours, and peak usage periods; the monitoring and networking module collects the internal data of the freezer and then transmits the data to the user and reminds the user to place items reasonably; the freezer interconnection configuration optimization module collects the operation data of the freezer and performs intelligent calculations to provide optimization suggestions for the use of the freezer and the placement of items. The present invention significantly reduces the energy consumption of the freezer through intelligent control, improves the operation efficiency, and has important practical significance and broad application prospects.

The invention relates to the technical field of three-dimensional cooperative intelligent inspection. The invention relates to a three-dimensional cooperative intelligent inspection method based on multi-source behavior perception. The method comprises the following steps: S1, dividing inspection targets in an inspection area, acquiring image data of the inspection targets through an unmanned vehicle, and classifying the image data according to database standards; s2, performing business state judgment and image state classification according to the exclusive image database of the inspection target, connecting security intelligent equipment, and establishing a security person list through the security intelligent equipment; through ground, air and indoor three-dimensional acquisition networks, an unmanned vehicle, an unmanned aerial vehicle and security intelligent equipment are complemented in a labor division manner, ground conventional monitoring is covered, air risk area enhanced acquisition and indoor personnel verification are realized, no sensing blind area exists, and meanwhile, by combining operation state judgment, regional data fusion and damage feature comparison, the security and protection information is acquired. And focusing a core risk scene in a non-business period.

To provide an improved technique for providing users with content related to a target area.SOLUTION: A method implemented by a terminal device of a user is provided, the method comprising determining whether a vehicle of the user is parked in a target area or not based on location information of the vehicle, and displaying an image linked to content related to the target area on a screen of the terminal device of the user when the vehicle is determined to be parked in the target area and current time is within business hours of the target area.SELECTED DRAWING: Figure 4

A system is provided.SOLUTION: A system, comprising: means for collecting traffic information; means for collecting weather information; means for collecting business hours information of a delivery destination; means for collecting data related to a transportation means; means for training an artificial intelligence model using pre-processed data; means for receiving real-time data and immediately reflecting the real-time data to the artificial intelligence model; and means for suggesting an optimal delivery route and transportation means.SELECTED DRAWING: Figure 1

The embodiment of the invention provides a travel scheme recommendation method, which comprises the following steps of: acquiring a plurality of scenic spots input by a user, and determining sequence information of the plurality of scenic spots; displaying identification elements corresponding to the plurality of scenic spots, and displaying pointing elements among the plurality of scenic spots; the pointing element is determined according to the sequence information of the multiple scenic spots; obtaining a target pointing element, travel time and a travel mode selected by the user; and obtaining the business time of the scenic spot corresponding to the target pointing element, and generating a travel scheme according to the business time, the travel time and the travel mode of the scenic spot corresponding to the target pointing element. Therefore, the travel time and the travel mode corresponding to the pointing elements among the plurality of scenic spots can be selected, and the travel scheme is generated based on the business time of the scenic spots, so that the richness in the aspects of travel planning and interaction is improved, and meanwhile, the experience feeling of a user is also improved.

One or more embodiments relates to a method for protecting a system during non-business hours. The method comprising: initiating, by a data manager and based on a security policy, a secure period; receiving, after the initiating, a first data operation request from a client device on a customer system; making a first determination that the first data operation request specifies a destructive operation of data in a storage system; making a second determination, using the security policy, that the first data operation request is restricted; and restricting, in response to the second determination, destructive operations of data specified in the first data operation request.