172 results about "Order management" patented technology

The invention discloses a dynamic order distribution optimization system based on deep learning, and relates to the technical field of order management, and the system comprises a multi-dimensional dynamic data collection module which is used for obtaining the multi-dimensional dynamic data of each service item in real time; the project emergency feature calculation module generates a project emergency feature value reflecting the resource allocation priority; the resource reachability feature extraction module outputs a resource reachability feature value reflecting the task assignment difficulty level; the composite dispatch risk feature fusion and optimization model module performs dynamic weighted fusion on the two types of feature values to generate a composite dispatch risk feature vector, inputs the composite dispatch risk feature vector into an asynchronous parallel genetic optimization model to perform dispatch path search, and introduces a convergence premature recognition mechanism to prevent the algorithm from falling into local optimum; and the dispatching strategy dynamic adjustment and feedback optimization module continuously optimizes model parameters through feedback of an actual service execution result to realize closed-loop iteration update of a dispatching scheme.

The invention discloses a new energy automobile rental order-charging collaborative energy consumption optimization system and method, and aims to solve the problems of high operation cost, poor user experience and difficult power grid adaptation in the new energy automobile rental industry. The system adopts a layered architecture of a hardware layer, a data layer, a business logic layer and an application layer, the hardware layer collects data of vehicles, charging piles and the like, the business logic layer realizes collaborative management and control through order management, charging scheduling, energy consumption prediction and a strategy optimization module, and the application layer serves enterprises, users and a power grid. According to the method, through data acquisition, order processing, energy consumption prediction, charging plan optimization and dynamic adjustment, peak-valley charging cost reduction, efficient charging pile utilization and power grid load balance are realized. According to the scheme, the enterprise operation cost can be reduced, the user satisfaction degree is improved, the power grid stability is guaranteed, the industry intelligent development is promoted, and remarkable economic and social benefits are achieved.

The invention discloses an enterprise-level intelligent point inspection identification and analysis system based on a graph neural network, and the system comprises a point inspection standard management module which is used for building a point inspection standard library and a unified coding system, and generating a point inspection route; the inspection task generation and execution module is used for generating a periodic point inspection task set; the data uploading and analyzing module is used for uploading the inspection data to a server through an enterprise network to form a trend sequence; the graph structure construction module is used for constructing an inspection network graph and forming an inspection feature set; the graph neural network analysis module is used for calculating an equipment health score and an abnormal confidence coefficient by improving a MixHop model; the abnormity identification and work order management module is used for triggering early warning notification and assessment index updating according to a preset rule; and the data synchronization and report generation module is used for generating a statistical report and an audit log, so that standardized, networked and intelligent management of enterprise-level polling is realized.

The invention discloses a campus take-out order data management system based on location-based service, and belongs to the technical field of order management. The system comprises a positioning data acquisition module, an environment adaptive modeling module, a distance correction module and a confidence evaluation module. The method comprises the following steps: triggering a code scanning action of a rider, and synchronously obtaining GPS coordinates and Bluetooth signal intensity; establishing an adaptive signal attenuation model based on historical data of the meal taking cabinet, and calculating a high-precision correction distance; and finally, carrying out spatial vector consistency verification by fusing the GPS position and the correction distance, and generating an arrival confidence score, thereby accurately triggering order delivery confirmation, enhancing the discrimination capability of a false arrival behavior, remarkably improving the accuracy of order state updating, and improving the user experience. The problem of false delivery misjudgment of a rider caused by inaccurate positioning of the GPS in a complex environment in the prior art is solved.

The embodiment of the invention discloses a computing power scheduling platform and a computing power renting system thereof. The computing power scheduling platform comprises an order management unit which is configured to receive at least one computing task from a platform user; the storage space distribution unit is configured to distribute a data storage space with a target capacity for the platform user; the computing power distribution unit is configured to distribute corresponding computing nodes for the computing tasks according to computing power requirements of the computing tasks; the cost calculation unit is configured to record the calculation resource use condition of the calculation task and generate corresponding cost information; wherein the computing tasks are packaged in independent containers, and the containers are started on the computing nodes distributed by the computing power distribution unit, so that the computing tasks are executed. According to the embodiment of the invention, through the container and virtualization technology, unified scheduling and management of computing power resources are realized, the utilization rate of computing power is effectively improved, the use cost is reduced, and unnecessary computing power waste is avoided.

The invention discloses a multi-tool cooperation order management method, system and device, a medium and a program product, and the method comprises the steps: firstly, receiving an order request input by a user and a unique identifier of the user; performing user intention identification and key parameter extraction on the order request through a large language model to obtain a user request type and key business parameters; then, according to the user request type, calling at least two order tools to carry out order processing on a to-be-processed order corresponding to the order request, and obtaining an order processing result; and finally, returning an order processing result to the user. According to the embodiment of the invention, intelligent order management of multi-tool cooperation is realized, and accurate personalized order management services can be provided for different user requests.

The invention relates to the technical field of order management, in particular to a mobile charging order processing system and method based on a workflow engine. The interaction module is used for realizing visual configuration and workflow monitoring; the system comprises a state machine engine and a rule engine, the rule engine and the state machine engine cooperatively work, the rule engine is used for processing complex logic judgment in services, and when encountering nodes needing decision making, the state machine engine can call the rule engine to obtain decision making results and then drive state circulation according to the results. The event driving layer comprises an event dispatcher and an event coordinator, the event dispatcher is responsible for efficiently and reliably transmitting events, and the event coordinator is responsible for processing cross-service complex business processes and realizing thorough decoupling among business components; and the data support layer provides data support for the interaction layer, the core engine layer and the event driving layer. And order processing is converted from a code writing normal form to a model configuration normal form, so that unprecedented flexibility and maintainability are realized.

This invention relates to the field of video inspection technology and discloses a multimodal model AI video inspection system and method based on cameras. The system includes: a video acquisition and processing module, an embedded vector calculation module, a difference judgment and triggering module, a multimodal analysis module, a work order management integration module, and a strategy dynamic adjustment module. During video inspection, by dynamically adjusting the screenshot acquisition interval, the detection frequency can be adaptively optimized according to the degree of scene change, avoiding resource waste caused by fixed intervals. This allows the system to reduce unnecessary analysis operations when there are no obvious changes in the image, thereby improving the efficiency of computing resources and the real-time performance of system operation, ensuring energy-saving and efficient inspection. During video inspection, by combining a multimodal large model with text prompting technology, visual features and scene context information are integrated for anomaly recognition, which can reduce the risk of misjudging subtle changes by a single model and improve the adaptability to complex scenes.

The invention discloses an agricultural product wholesale order automatic generation method and device, equipment and a medium, and relates to the technical field of order management. The method comprises the following steps: firstly, receiving a plurality of field sound signals collected by a sound pickup array on an agricultural product selling communication field in real time, and carrying out voice signal extraction processing by applying an empirical mode decomposition technology, a sound source positioning technology and a voiceprint matching technology in real time so as to obtain speech signals of a seller and a buyer; then, the extraction result is integrated into an agricultural product selling communication dialogue text data stream in real time, the text data stream is imported into a large language model in real time to carry out semantic understanding and entity information extraction processing, then a matched agricultural product wholesale order template is retrieved according to the extraction result, and content filling and dynamic updating are carried out on the template; and generating a new agricultural product wholesale order, and finally pushing the order to the seller terminal equipment in real time and outputting and displaying the order in real time, so that the order generation efficiency can be improved, the order information is ensured to be generated correctly, and the seller experience is improved.

The utility model discloses a storage device for transaction order management, which comprises a box body, the middle part of the outer surface of the box body is fixedly connected with a controller, the outer surface of the box body is provided with a storage track, and the two sides of the storage track are provided with locking assemblies; and the placement mechanism is arranged in the storage rail, the placement mechanism comprises a connecting plate and a storage box, a storage assembly used for storage is arranged in the storage box, and a fixing rod is fixedly connected to the outer surface of one side of the connecting plate. Orders can be independently stored through the storage assembly, a storage bag can isolate certain external pollution, the locking assembly is controlled through the controller, the orders can be conveniently found by inputting numbers during finding, meanwhile, drying agents and insect repellents can be placed in the space below the partition plate, and the storage bag is convenient to use. And the convenience and safety of order storage are improved.

The application discloses a ship cargo matching system based on an intelligent optimization algorithm, which comprises an order management module, a ship management module, a port management module, a route management module, a freight rate management module and a ship draft management module; the input of the order management module comprises basic information of three types of orders, i.e., a marine oil cargo plate, a large customer cargo plate and sporadic cargo sources; the input of the ship management module comprises static information and dynamic information of a ship; the input of the port management module comprises three-level wharf information; the input of the route management module comprises a sailing distance matrix and a sailing time matrix; the input of the freight rate management module comprises freight rate data between different loading and unloading ports; and the input of the ship draft management module comprises a maximum cargo carrying capacity data table of different ship types under different draft depths. The application has strong dynamic adaptability.

The application discloses to the medical technical field, specifically for a kind of for monitoring patient to the execution system and method of medical order, include: medical staff management module, for making medical staff to log in, and it is managed;Patient information management module, for making patient to log in, and it is managed;Medical order management module, for medical order information is entered, classified management;Remind module, for medical staff and patient are reminded according to medical order information;Execution monitoring module, for the execution of medical order information is monitored;Statistical record module, for the data monitored by execution monitoring module is statistically recorded, and can be recorded data is fed back to medical order management module in.Judicious use of the application can reduce the occurrence of medical errors and accidents, through the reminding and monitoring functions of the system, reduce the medical risk caused by the patient not executing the medical order on time or executing it incorrectly, improve the safety and quality of medical services.

1. The name of the design product: order management graphical user interface for electronic device. 2. The use of the design product: electronic device. 3. The design points of the design product: the graphical user interface content displayed on the electronic device. 4. The picture or photo that best indicates the design points: front view. 5. The use of the graphical user interface: display and management of user order transactions. 6. The human-computer interaction mode of the graphical user interface: the front view defaults to the user interface of the buyer; clicking the I am a seller icon in the front view enters the change state diagram 1; clicking the sign in the change state diagram 1 enters the change state diagram 2; clicking the go to sign icon in the change state diagram 2 enters the change state diagram 3; clicking the initiate contract icon in the change state diagram 3 enters the change state diagram 4. 7. Other circumstances that need to be explained: the "x" in each view represents variable text and / or numbers; the gray blocks in each view are content pictures or variable content.

The application provides a kind of based on mobile terminal's inspection track positioning analysis system, comprising: inspection track positioning module, for based on the mobile terminal equipment integrated with positioning module carried by inspection personnel, the inspection track positioning of inspection personnel is presented using geographic information system map;Electronic fence early warning module, for drawing electronic fence on the overlay layer of geographic information system map, the inspection track of inspection personnel is monitored using electronic fence;Inspection record generation module, for collecting audio and video data of inspection site through audio and video device on mobile terminal device, and sending to electronic work order management unit of monitoring platform, the generation, archiving and tracing of inspection record are realized using electronic work order management unit;Inspection record query module, for storing, querying and checking the inspection record of inspection personnel using intelligent internet of things cloud platform.The application carries out inspection track positioning based on mobile terminal, and convenient, accurate and fast positioning can be realized.

The invention relates to the cross technical field of a computer information technology and a college management information system, and provides a college institution service intelligent response system fusing self-service questions and answers and task work orders. The system comprises a user interaction module, a self-service question and answer engine, a work order generation and distribution module, a background processing and feedback module and a service statistics and optimization module. According to the invention, an advanced natural language processing technology, knowledge graph construction and intelligent work order management are fused, so that a college institution service intelligent response system integrating self-service question answering and task work orders is constructed. The system not only realizes seamless access and efficient intelligent interaction of multiple channels and multiple terminals, but also ensures that various problems are timely and accurately processed through automatic classification, responsibility distribution and closed-loop management.

The application provides a project knowledge base-based work order service tracking method, platform and medium, relates to the technical field of data processing, and the method comprises the following steps: constructing a project knowledge base in a project operation process; reading work order information, performing semantic analysis processing, and mapping the analysis result to the project knowledge base to generate a knowledge mapping result; extracting a historical processing path and a standard implementation path associated with the work order and meeting a preset condition, and constructing a service processing baseline track corresponding to the work order; in the work order execution process, real-time collection of work order processing behavior information is performed, continuous mapping to the project knowledge base is performed, and a real-time knowledge evolution track is generated; and work order service tracking analysis is performed, and a service tracking result is established. The application solves the technical problem that work order management in the prior art mostly depends on manual input and processing, lacks an automatic knowledge mining and application mechanism, and work order processing efficiency is low, error rate is high, and project progress and quality are affected.

The invention relates to an operation and maintenance service real-time matching system, method and device based on multi-dimensional intelligent matching. The system comprises a demand side client, an engineer client and a cloud server platform. The cloud server platform comprises an order management module used for creating, publishing, circulating and filing operation and maintenance service orders; the user and authentication management module is used for managing a user account, performing skill authentication on an engineer user based on a pre-constructed skill label library, and generating an engineer portrait containing an authenticated skill label; and the intelligent matching and order sending module is used for responding to a newly created operation and maintenance service order, screening out a matched engineer user from an authentication engineer pool through a multi-dimensional intelligent matching algorithm based on the engineer portrait, the real-time position data, the engineer state and the dynamic reputation score, and carrying out order pushing according to a preset strategy. The problem of information asymmetry in operation and maintenance service is solved, the response speed is increased, and resource configuration is optimized.

The invention discloses a cross-border e-commerce intelligent multi-warehouse optimal order distribution delivery system and method. The system comprises a warehouse inventory management module, a sales order management module, an order distribution logic management module, an inventory occupation level scoring module, an inventory occupation simulation module, a gross interest rate simulation calculation module and an optimal order distribution selection module. The method comprises the steps of obtaining and preprocessing order data; loading an order distribution rule; performing multi-dimensional scoring and sorting on the orders; simulating the occupied inventory according to the priority and calculating the gross profit rate of each order distribution scheme; the scheme meeting the rule is actually subjected to order distribution; and providing a manual intervention interface for the orders which do not meet the conditions to specify a warehouse, and triggering replenishment or allocation. According to the invention, through dynamic priority scoring and a simulation preemption mechanism, automation and optimization of order allocation decision are realized, order processing efficiency and inventory turnover rate are effectively improved, operation cost and gross interest rate are controlled, and performance capability of abnormal orders is enhanced.

The application discloses a kind of detachable container unmanned transport operation scheduling platform and method, platform includes: order management module, for receiving the demand order of enterprise customer, the demand order is analyzed, generates first waybill;Unmanned vehicle management module, for real-time acquisition of the vehicle information of all unmanned vehicles;Container management module, for real-time acquisition of the empty container quantity of each network and operating center, when the empty container quantity of network is greater than the first threshold value set and / or the empty container quantity of operating center is less than the second threshold value set, generates second waybill;Unmanned vehicle scheduling module, for according to the vehicle information of all unmanned vehicles and the first waybill information contained in the first waybill or the second waybill contained in the second waybill, scheduling unmanned vehicle to meet the requirements to execute the first waybill or second waybill;Wherein, the unmanned vehicle can transport multiple independent containers and unload at least one container simultaneously.

The invention discloses a cross-border e-commerce intelligent multi-warehouse allocation data simulation system and method, and the system comprises each warehouse inventory management module which is used for synchronizing global multi-warehouse real-time and in-transit inventory data; the sales order management module is used for acquiring undelivered order information; the key warehouse marking configuration module is used for setting an allocation strategy rule based on the inventory coverage rate; the global inventory view generation module is used for executing prospective inventory distribution simulation and outputting a global inventory view; the sales order marking module is used for marking whether the order needs to be delivered by a key overseas warehouse or not according to a view; and the just-to-be-allocated module is used for accurately calculating the minimum necessary allocation quantity required to be allocated from the Chinese warehouse to each key overseas warehouse according to the marked order, and generating an instruction report. According to the method, artificial experience is replaced by simulation calculation, data driving and prospective optimization of allocation decision making are realized, inventory overstock and cross-border logistics cost are effectively reduced, and order fulfillment speed and overall elasticity of a supply chain are improved.

The invention provides a work order service tracking method and platform based on a project knowledge base and a medium, and relates to the technical field of data processing, and the method comprises the steps: constructing the project knowledge base in a project operation and maintenance process; reading the work order information, performing semantic analysis processing, and mapping an analysis result into a project knowledge base to generate a knowledge mapping result; extracting a historical processing path and a standard implementation path of which the correlation degree with the work order meets a preset condition, and constructing a service processing baseline track corresponding to the work order; in the execution process of the work order, processing behavior information of the work order is collected in real time and continuously mapped to the project knowledge base, and a real-time knowledge evolution track is generated; and executing work order service tracking analysis, and establishing a service tracking result. The technical problem that the project progress and quality are affected due to low work order processing efficiency and high error rate caused by the fact that work order management mostly depends on manual input and processing and lacks an automatic knowledge mining and application mechanism in the prior art is solved.

This invention discloses a method for visually tracking the entire lifecycle of chip sales orders, relating to the field of order management technology based on knowledge graphs. The method includes: acquiring order events and packaging identifiers of sales orders, identifying multiple sub-batches, and extracting event interval sequences for each sub-batch; querying the humidity clock semantics of each interval using a knowledge graph based on the order event information corresponding to the event interval sequences, determining the allowable exposure time and duration of each interval in conjunction with the packaging identifier, and generating a clock calculation sequence; calculating the remaining humidity clock quantity for each sub-batch, and constructing a set of remaining humidity clocks for each order sub-batch; extracting the conservative deliverable status, clock fork quantity, and dominant sub-batch for each lifecycle node, constructing an order node status group, and generating visual tracking results for the order. This invention can accurately reflect the state differentiation during the unpacking and batching of humidity-sensitive chips, improving the authenticity and targeted management of order fulfillment tracking.

The invention discloses an intelligent work order scheduling method and system based on multi-factor cost prediction, and belongs to the technical field of work order management. According to the method, a multi-factor dynamic cost model comprehensively considering in-transit time, skill matching degree, work order priority and service time limit SLA risk is constructed by acquiring work order and personnel states in real time, and a cost index is calculated for each potential scheduling scheme. According to the system, a variable neighborhood search VNS optimization algorithm is adopted, and global solution is carried out on the basis of a cost matrix so as to find an optimal task allocation scheme with the lowest total cost. According to the method, the weight can be dynamically adjusted and optimized according to operation states such as real-time traffic and personnel load, self-adaptive intelligent decision making is realized, and finally, an optimization scheme is automatically distributed to a personnel terminal, so that the work order scheduling efficiency, the resource utilization rate and the SLA fulfillment rate are comprehensively improved.

The invention discloses a wooden door informatization production system and an operation method. The wooden door informatization production system comprises an order management module, a process management module, a production execution module, a material management module, a quality inspection module, a data billboard module, a digital twinning body module and a data center module. An order is received through RESTful API, after the order is split through an AI intelligent order splitting algorithm, a gRPC interface is matched with a standard process, process parameters are optimized through a machine learning model, and then tasks are issued through Kafka; and after station code scanning confirmation, SOAP / XML format material distribution is triggered, production data are collected through OPC UA / MQTT, defects are recognized in real time through a multi-mode AI detection model, the workpiece flow direction is controlled through WebSocket feedback, and full-process management and control are achieved in combination with a digital twinborn body and a data middle table. The method solves the problems that traditional production information is isolated, the technology depends on manpower, quality tracing is difficult and the like, production standardization, transparency and intelligence are achieved, and production efficiency and quality are improved.

The invention relates to the technical field of logistics business management, and discloses a comprehensive logistics business operation supply chain management platform and method, and the platform comprises a unified portal system, a business logic processing system, a data integration and processing system, an intelligent decision and optimization system, and a financial service integration system. The unified portal system is used for providing a user interaction interface; the business logic processing system is used for executing order management, freight rate calculation, logistics tracking, service product configuration and quotation inquiry processing; the data integration and processing system is used for processing multi-source heterogeneous data from logistics business; the intelligent decision and optimization system is used for calculating an optimal transportation path in real time, distributing transportation resources and predicting logistics demands; and the financial service integration system is used for docking with an external financial institution and providing logistics finance, payment settlement and risk management services based on platform data. According to the invention, different types of logistics businesses can be managed in an integrated and intelligent manner, and intelligent supply chain operation can be realized.

This invention relates to the field of production management technology, and in particular to an intelligent scheduling and automatic early warning production management system, comprising a unified data center, an order management module, a process link management module, an intelligent scheduling module, a production execution and reporting module, an intelligent loss calculation module, an automatic early warning notification module, a material management module, and a data statistics and reporting module. This invention, by employing an intelligent scheduling module, automatically generates and dynamically adjusts production plans based on comprehensive data such as order delivery dates, equipment capacity, real-time work reporting, and loss prediction, completing production scheduling without manual intervention. The system can respond in real time to production anomalies such as process delays, equipment failures, and expedited orders, performing only partial rescheduling on affected processes, significantly reducing the system's computational load, improving scheduling response speed, and enabling real-time coupling of production plans and on-site execution status, fundamentally solving the problems of rigidity, delayed adjustments, and susceptibility to failure in traditional scheduling.

The invention discloses an air ticket order full life cycle management system based on data fusion analysis, belongs to the technical field of air ticket order management, and integrates multi-source heterogeneous ticket data through a data fusion analysis technology, eliminates data output differences, and improves the management efficiency. Differentiated data is set corresponding to each OTA platform based on a rule engine, pre-stored and directionally released, a subsequent order period management process is optimized, a data acquisition link is greatly shortened, data acquisition time is greatly shortened, query response of a user side is ensured, and after an order is created, through real-time interaction with a ticket business data source, the order management efficiency is improved. The transaction accuracy of order verification and ticket payment is ensured, and the consistency of internal and external data is ensured based on a state synchronization tracking updating mechanism, so that the industry pain points of scattered supply end data, low efficiency of a circulation link and faulted transaction experience in aviation ticket business ecology are effectively solved; and constructing a standardized data link and an automatic transaction closed loop between the shipper / agent and the OTA platform.

We provide order management equipment and other devices that make it easy to grasp the revenue of the construction division. [Solution] The order management device according to the present invention comprises an order processing unit, a cost processing unit, a journal entry processing unit, and a completion processing unit. The order processing unit creates project information, including source identification information, for each department for each order. The cost processing unit receives input of information regarding the cost of interdepartmental transactions associated with the project information. The journal entry processing unit registers the information regarding the interdepartmental transactions as incomplete items in the first accounting data for each department. The completion processing unit receives input of information accompanying the completion of the interdepartmental transactions. In the second accounting data on which the contents of the first accounting data have been transferred, the journal entry processing unit generates a journal entry to transfer the incomplete items to completed items in accordance with the information accompanying the completion of the interdepartmental transactions, at the time when sales for the project have not yet been recorded.

The invention discloses a city order packaging system based on ant colony algorithm and operation rule driving, which relates to the technical field of order management and comprises a multi-source data sensing module, a heterogeneous ant colony role division operation module, an operation rule collaborative management and control module, an order self-organizing cluster generation and optimization module and a packaging execution and dynamic feedback module. And each module realizes information transmission through a data interaction channel. According to the invention, through constructing an integrated closed-loop architecture of multi-source data perception, heterogeneous ant colony role division operation, operation rule collaborative control, order self-organizing cluster generation and optimization, and packaging execution and dynamic feedback, an ant colony algorithm and an operation rule are deeply fused in a whole order packaging process; the response speed of the order packaging system to urban dynamic orders and the collaborative adaptation ability of all links are improved, and the problems that in a traditional order packaging system, algorithms and operation rules are disjointed, information circulation between modules is not smooth, and multi-dimensional dynamic changes of the urban orders are difficult to deal with are solved.

This invention discloses a laboratory supplies management system and method. The system includes an order management module, a laboratory supplies management module, and an inventory management module. The order management module determines laboratory supplies order data and sends this data to the inventory management module. The laboratory supplies management module determines laboratory supplies usage data and sends this data to the inventory management module. The inventory management module determines inventory data, updates it based on order data after supplies are received, and updates it based on usage data after supplies are issued. This invention enables full lifecycle management of laboratory supplies from procurement, warehousing, use, circulation, and verification, improving management efficiency, standardization, and accuracy.