121 results about "Order system" patented technology

The invention provides an automatic waybill ordering method and system based on logistics docking, and the method comprises the steps: constructing a logistics resource intelligent agent set and a logistics resource market based on logistics resource data, obtaining customer demand data, constructing a customer demand intelligent agent based on the customer demand data, and carrying out the customer demand intelligent agent set and the logistics resource market; and generating a corresponding logistics risk portrait in combination with a preset logistics risk map and a multi-factor risk convolution mechanism, putting the customer demand agent into a logistics resource market for game prediction, obtaining a corresponding game prediction result, generating a corresponding logistics risk assessment report based on the game prediction result, and performing logistics risk assessment. The method comprises the steps of performing logistics resource screening based on a logistics risk assessment report, generating corresponding logistics waybill data, generating a corresponding electronic logistics waybill in combination with a waybill adaptive conversion mechanism, obtaining an actual performance data set of the electronic logistics waybill, and performing feedback optimization on a module corresponding to an automatic waybill ordering system in combination with the actual performance data set. Therefore, the quality of service provided for merchants is improved.

The application discloses a steel bar production line intelligent scheduling system based on artificial intelligence. In the application, the dynamic adaptation problem of multi-specification steel bar mixed production is solved through a virtual-real fusion decision mechanism. In view of the demand of alternate rolling of screw thread steel and bright round steel, the system analyzes order parameters in real time, dynamically optimizes the matching logic of roll gap adjustment sequence and cold bed stepping rhythm, and ensures that the steel bars with different surface characteristics reduce transition waste during process switching. Through equipment health degree prediction and material mechanics simulation, the peak value of the main drive of the rolling mill is automatically reduced and the cooling time is prolonged when high-strength steel bars are rolled, so that the roll peeling or internal cracks of the steel bars caused by stress mutation are avoided. For small batch orders, the system intelligently compresses the shutdown window of die and groove changing, pre-adjusts the process parameters by using the idle gap of the equipment, and significantly reduces the production capacity breakpoint caused by specification switching.

This application provides a method, apparatus, storage medium, and electronic device for reviewing merchant annual inspection work orders, relating to the field of work order review technology. It enables automated review of merchant annual inspection work orders, shortening the review cycle, improving review efficiency, enhancing the standardization and objectivity of the review process, and further improving the accuracy of the review results. The method includes: automatically logging into a merchant annual inspection work order system through a robotic process automation system to obtain a target annual inspection work order for a target merchant and a corresponding image for review of the target merchant. The target annual inspection work order includes the annual inspection items to be reviewed and the registration information of the target merchant. The image for review is processed using a visual large-scale model based on preset information processing rules to obtain structured information corresponding to the annual inspection items to be reviewed. The structured information and registration information are compared according to preset review rules for the annual inspection items to be reviewed to generate the review result for the target merchant.

The invention relates to the technical field of natural language processing, in particular to an intelligent customer service work order system and method based on LangGraph, and the system comprises a multi-channel access module, a LangGraph core arrangement module, an Al Agent pool, a knowledge base module, a work order management module, and a data analysis and monitoring module. The method has the beneficial effects that the advanced LangGraph technology is introduced, revolutionary improvement is brought to an intelligent customer service work order system, the processing complexity, the automation degree, the user experience, the flexibility and the controllability of the intelligent customer service work order system are all superior to those of the prior art, and remarkable social benefits and economic benefits are achieved.

The invention discloses an electronic resume data application method and a computer readable storage medium, and the method comprises the following steps: connecting at least two data source systems, and respectively extracting electronic resume data of the same nuclear power equipment from the at least two data source systems, the electronic resume data of the nuclear power equipment comprises maintenance work order data and fault notification order data of the nuclear power equipment on a work order system and input / output information of the nuclear power equipment on an IO information system; constructing a first risk prediction model based on the input / output information of the nuclear power equipment and the maintenance work order data, and quantifying the operation risk of the nuclear power equipment; and training a first machine learning model based on the fault notification data and the input / output information of the nuclear power equipment, and predicting the fault of the nuclear power equipment. According to the method, data islands are broken, comprehensive integration of data is realized, and a scientific basis is provided for operation and maintenance management of the nuclear power station through quantified operation risks of the nuclear power equipment and predicted faults of the nuclear power equipment.

The application discloses a time delay control method and system based on an error compensation type extended state observer, which comprises the following steps: a time delay controller acquires input signals and each output state of a tracking differentiator, and outputs a first control signal; an estimation error model of a displacement is constructed for an extended state observer; based on the first control signal, a total disturbance signal and an estimation error of the extended state observer, a controlled object is converted into an integrator series type form, and a displacement signal is output based on the controlled object; the displacement signal is input into the tracking differentiator to obtain real-time estimation values of each state of a nano-positioning stage; and the real-time estimation values of each state are fed back to the time delay controller. By introducing the extended state observer, the application solves the problem that the stability of a control system is easily affected by the uncertainty of a control input matrix; by introducing the tracking differentiator, the application solves the difficult problem that high-order system states and their derivatives required by time delay control are not easy to obtain.

The present application relates to the technical field of cleaning robot scheduling control, and particularly relates to a cleaning robot dynamic task scheduling method and system based on property work orders. The method comprises the following steps: receiving work order data stream pushed by a property work order system, analyzing work order identification, emergency identification, task type, task location and expected completion time, and generating an emergency work order task record; obtaining a current task queue of a cleaning robot and robot state information based on the record, matching a task execution time window, task location and robot state information, and generating an insertion conflict evaluation record containing a candidate insertion position and a queue disturbance evaluation record; performing local re-planning accordingly, generating a local re-planning task sequence containing an original task reservation sequence and a recovery anchor point, and issuing a scheduling instruction, writing back execution state data and updating a current task queue. The present application forms a scheduling closed loop for sudden work order insertion, original task recovery and work order state record.

The invention relates to an interface testing method and device, equipment, a storage medium and a program product. The method comprises the steps of responding to an interface test event for a target interface, calling a work order system to generate a target test work order corresponding to the target interface according to original configuration parameters in the interface test event, and determining an interface test result of the target interface according to target feedback information when the target test work order flows in the work order system, and in response to a test ending request, according to the work order identification information of the target test work order, performing handling processing on the target test work order, the test ending request being initiated based on the target feedback information and / or the interface test result. By adopting the method, the reliability of interface testing can be improved.

The invention discloses an operation and maintenance method and device for an industrial vehicle, electronic equipment and a medium, and the method comprises the steps: continuously recording a vehicle operation log through vehicle-mounted first storage equipment, receiving vehicle abnormal information submitted by a user, carrying out the uplink storage of the vehicle operation log and the vehicle abnormal information, and recognizing an abnormal part and an abnormal type; and positioning an associated time window in the running log based on the abnormal part and the timestamp, identifying the log and the vehicle abnormal information in the window by using a fault identification model, outputting a fault analysis result, pushing the fault analysis result through the interactive interface, and synchronizing the fault analysis result to a maintenance work order system to generate a to-be-processed message. According to the method, the fault is quickly and accurately identified and pushed in a mode of considering personnel feedback and vehicle logs, so that operation and maintenance personnel can conveniently refer to diagnosis of artificial intelligence to carry out subsequent operation and maintenance processing, and a vehicle user can conveniently know reasons and processing suggestions of current feedback problems.

The invention discloses a mobile terminal intelligent property operation and maintenance management method and system based on UniApp, and the method comprises the steps: verifying user login, and enabling all users to be in instant communication; a work order system is established, a user creates a work order, the work order system performs order distribution coefficient calculation for candidate operation and maintenance personnel, an administrator distributes the operation and maintenance personnel for the work order, and the operation and maintenance personnel processes the work order; the work order system and the inspection system are linked, and an inspection abnormal work order is automatically generated according to abnormal information found by property management personnel and uploaded to the work order system. According to the method, the work order system is used for calculating the order dispatching coefficient for each work order, the order dispatching efficiency and the order dispatching accuracy are greatly improved, meanwhile, the inspected abnormal information is linked with the work order system, the work order is automatically generated, and the experience degree of an owner is improved.

The application discloses a kind of edge virtual network function system framework and network architecture, its system framework includes: portal control center, service ability empowerment and dispatching middle station and multiple POP clusters;Wherein, portal control center is used to face user, operation and maintenance, operation and service provider provide unified entrance, include portal management, operation and maintenance alarm system, operation work order system, order and delivery management system and unified identity authentication system;Service ability empowerment and dispatching middle station are responsible for connection control module, API gateway, tenant management, service guarantee, identity authentication, multiple cluster resource scheduling strategy issue and third party interface unification;POP cluster is used to be responsible for service chain arrangement and the operation of NFV network function pool, in combination with monitoring and operation, resource scheduling and high-performance forwarding surface complete tenant business load.The application realizes controllable flow arrangement under the multi-tenant scenario, resource elastic allocation and performance guarantee, improves the flexibility, scalability and user experience of NaaS platform.

The application provides a system and method for multiple verification of the correctness of a pharmacy automatic dispensing medicine, which comprises an online order system, which analyzes received medicine order information to obtain detailed listed medicine names, quantities and other information in the order; an inventory management module, which is used for storing and managing comprehensive information of the medicine, while supporting querying of the medicine information according to the order demand and automatic updating of the inventory quantity after the medicine is delivered; an automatic dispensing equipment, which is integrated with a bar code scanning technology, an OCR identification technology, a visual sensor and a weight sensor, and automatically locates and sorts out the required medicine from the inventory according to the analyzed medicine information; and a multiple verification module, which is used for multiple verification in the whole process of medicine sorting. The application verifies the accuracy of the dispensing medicine through multiple progressive verification, effectively guarantees the accuracy of the dispensing, eliminates the safety hazards, realizes the full automatic dispensing of the medicine, and comprehensively controls the quality of the medicine.

1. The name of the design product: service order system graphical user interface for electronic equipment. 2. The use of the design product: for electronic equipment. 3. The design points of the design product: the content of the graphical user interface. 4. The picture or photo that best indicates the design points: front view. 5. The use of the graphical user interface: the design product is used for the service order system graphical user interface of electronic equipment. The front view is the login interface of the software. After entering the account and password in the front view, the interface changes to state diagram 1. Clicking "service order" in state diagram 1 enters state diagram 2. Clicking "order tracking" in state diagram 2 enters state diagram 3. Clicking "details" at the rightmost of the list number 1 at the bottom of state diagram 3 enters state diagram 4.

The invention discloses a high-concurrency work order system distribution mode automatic switching method, system and device and a medium, through intelligent configuration routing, a real-time processing mode or an asynchronous queue processing mode is dynamically selected for work order APIs with different characteristics according to a preset strategy, and therefore the low delay requirement and the system stability are both considered; moreover, by adopting an independent mode switching monitoring module, when the message queue is abnormal, second-level sensing can be realized, and the mode is automatically and seamlessly switched to a real-time processing degradation mode, so that when the message queue is unavailable, the core work order service can still run continuously, the robustness of the system is improved, and the system performance is improved. The continuity of the core service of the system under the component fault is ensured, and the real high availability is realized.

This application provides a method and related equipment for constructing a skill tree profile of maintenance personnel based on work order task topology mapping, which can improve overall work efficiency. The method includes: acquiring historical work order data from the maintenance work order system, which includes equipment information, task information, and personnel information; performing structured processing on the historical work order data to construct a full lifecycle map of equipment and a personnel skill tree, establishing a bidirectional mapping relationship between task nodes in the equipment lifecycle map and skill nodes in the personnel skill tree through personnel and equipment information; when receiving new work order data, extracting feature information from the new work order data to generate a composite identifier, and verifying the composite identifier against historical composite identifiers in a pre-stored topology cache library, where the composite identifier includes equipment type and task level; if the verification result is invalid, calculating the mapping relationship in real time based on the equipment lifecycle map and the new work order data to obtain the target mapping relationship.

The invention relates to an order information analysis method and system. The method comprises the following steps: in response to an input instruction of a user, obtaining a service request instruction corresponding to the input instruction; according to the business request instruction, analyzing and processing order data of a target shop in an order system, and outputting an analysis and processing result; wherein the order system stores order data of shops authorized by different e-commerce platforms, and the integration of the order data of multiple platforms is combined with a user instruction processing technology, so that the analysis of order information is realized, the user operation process is simplified, and a data analysis result is provided; the problems of data islands and low analysis efficiency in multi-platform e-commerce management are effectively solved.

The invention discloses an Internet of Vehicles connection management platform management and control processing method, device, equipment and medium, and the method comprises the steps: collecting real-time data of an Internet of Vehicles connection management platform, the real-time data comprising order system data, system monitoring data and package data; preprocessing the collected real-time data of the Internet of Vehicles connection management platform to obtain preprocessed data of the Internet of Vehicles connection management platform; according to the preprocessed data, time sequence embedding features are extracted through a long-short-term memory network model with a time attention mechanism, and in combination with service features and system monitoring data in the preprocessed data, an order blockage risk probability is obtained through a limit gradient improvement model; and calculating an order system load factor according to system monitoring data, calculating a conventional process influence degree in combination with a management and control order proportion and a time sensitive factor, and judging whether to trigger a management and control short process according to the conventional process influence degree and an order blockage risk probability.

The invention discloses a power enterprise human resource intelligent portrait modeling method, which relates to the technical field of power human resources, and comprises the following steps: uniformly abstracting multi-source data such as a human resource system, a work order system, a job ticket system, safety supervision, training examination and the like into a power business event; constructing a power operation and maintenance knowledge graph covering employees, teams, equipment, courts and task types, and forming a multi-time-scale employee portrait and a team portrait for distinguishing slow variables and fast variables on the graph; secondly, a task scene portrait is generated in combination with work order information and power grid working conditions, risk budget constraints based on the portrait are introduced, and scheduling and dispatching matching is completed on the premise that qualification and regulations are met; and continuously correcting the portrait and risk budget by using the task result event, and periodically re-estimating the event weight, so that the portrait, the scheduling and the result form a closed loop, thereby improving the overall controllability of the high-risk operation and the refinement and transparency level of the scheduling decision.

The invention provides a data processing method and device, a rule configuration method and device, equipment, a medium and a product, and relates to the field of user interface design, the technical field of streaming data processing and the technical field of digital marketing. The data processing method comprises the following steps: calling a real-time stream calculation engine to calculate a plurality of order transaction data based on a pre-configured conversion rule in response to receiving a plurality of order transaction data for a plurality of to-be-processed orders issued by an order system, and generating conversion data, the conversion data represents a conversion value for converting the transaction resources of the plurality of orders to be processed into special resource consumption, and the conversion rule represents a conversion mode for converting the transaction resources of the orders into special resource consumption.

The invention discloses a variable length control method with a limited processing state. According to the method, an iteration length selection index is constructed, so that the state value of the system does not violate a given limit range. Under the framework of a backstepping method, vector parameter uncertainty and disturbance of the system are converted into a scalar form for analysis. A controller without a reversible control matrix is constructed to control a high-order system. Compared with a traditional control method needing an accurate mathematical model, the control algorithm provided by the invention is more novel and simple in application condition. When the method is used for repeated task operation, the control precision is effectively improved, and the method has good engineering application value.

Systems, methods, and instrumentalities for energy saving mode in processing order. An example device may obtain encoded video data and processing order metadata that comprises an energy savings indication associated with performing a post-processing series in a processing order. The device may determine, based on the energy savings indication, whether to perform the post-processing series. The device may process the video data based on the determining.

To provide an ordering cooperation system, an ordering system and an ordering program for further improving safety in an MRI examination.SOLUTION: An order reception unit configured to receive an MRI examination order for a patient from a doctor terminal, a detection request unit configured to request a medical device detection server to detect a medical device implanted in a body of the patient, and an order transmission unit configured to transmit the MRI examination order to a laboratory technician terminal in a case where a result of the detection indicates that the medical device is not detected, the medical device detection server includes a detection request reception unit that receives a detection request from the ordering system, an image acquisition unit that acquires X-ray image data of a patient, a detection unit that detects a medical device implanted in a body of the patient from the X-ray image data of the patient, and a detection result transmission unit that transmits a result of the detection to the ordering system.SELECTED DRAWING: Figure 3

The invention provides a financial intelligent processing and auditing method and system based on artificial intelligence, and the method comprises the steps: constructing a financial domain knowledge vector library, and providing semantic support for subsequent processing; receiving an original voucher uploaded by a user, understanding and extracting key fields based on the knowledge base and by using the large language model optimized by the cue word template, and outputting structured data; performing automatic comparison verification on the structured data through a pre-configured auditing rule supporting versioning management, and generating an auditing result; wherein the auditing rule supports verification of signatures and the number of seals recognized by the target detection model; and finally, feeding back a result through a work order system and tracking the whole payment process. According to the method, the knowledge base, the large language model and the rule engine are fused, intelligence and automation of financial voucher processing and auditing are achieved, and efficiency and accuracy of financial work are remarkably improved.

The invention relates to the technical field of intelligent processing of campus operation and maintenance work orders, and discloses an intelligent analysis and service optimization system for campus informatization maintenance work orders. According to the system, standardization processing of multi-source work order data is achieved through a work order information aggregation module; the intelligent priority evaluation module adopts a deep learning model to analyze fault text semantics, generates a dynamic priority coefficient and improves the accuracy of work order grading; the resource scheduling optimization module generates an optimal allocation scheme based on the priority and the personnel state; and the redundant communication management module constructs an active-active architecture by using a software defined network, so that load balancing and rapid fault switching of a data stream and a control signaling are realized, and the communication reliability of the system is effectively guaranteed. According to the invention, the problems of inaccurate priority judgment and insufficient communication guarantee of a traditional work order system are solved.

The invention relates to the technical field of e-commerce and cloud computing, and discloses an e-commerce order management method based on cloud data analysis. The method comprises the following steps: clustering cloud order time sequence data to form a plurality of differentiated data clusters; performing multi-level feature extraction on each cluster to generate a cluster-level feature description vector; analyzing the vector by using a trained time sequence mode matching model, and identifying a potential processing delay mode; according to the identified mode, actively triggering a resource pre-allocation strategy and executing a corresponding instruction; and finally, completing order transfer state judgment in combination with the deployed system operation data and the delay mode. According to the method, the features are extracted from the order group and the historical delay mode is matched, so that the processing delay risk is predicted in advance and the resources are dynamically pre-adjusted, and the processing efficiency and the operation stability of the order system are improved.

The invention discloses a micro-service order processing and transaction consistency guaranteeing method and system based on event driving. The method comprises the steps of creating an initial order event according to a multi-channel order request and performing asynchronous transmission; generating an order life cycle event of each order and a state change sequence of the order life cycle event according to state snapshots of performing multiple related micro-services on the order events; determining a cross-micro-service transaction execution result of each order according to the order life cycle event and the state change sequence thereof, and triggering a compensation operation according to the traceability record when the execution result fails; and periodically scanning the micro-service data flow of each order, carrying out anomaly detection and data automatic restoration, and displaying the full-link processing state of each order in real time. The final consistency of cross-service business data is ensured, and the reliability, observability and maintainability of an order system are remarkably improved through full-link state tracking and automatic exception handling.

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 invention belongs to the technical field of automatic operation and maintenance, and particularly relates to an IT operation and maintenance real-time cooperation and work order automatic generation method based on ChatOps, and the method comprises the steps: monitoring and analyzing an operation and maintenance dialogue, and generating structured data representing an intention and an entity; tasks are distributed intelligently, and work order data to be filled and an executable automatic instruction sequence are formed respectively; checking and complementing the work order data under the rule constraint, and generating a control instruction after arrangement; and finally, the work order system is synchronously driven to create the structured work order and the automatic engine executes the operation and maintenance operation, so that a closed loop from an unstructured dialogue to a traceable and executable operation and maintenance process is realized, and the cooperation efficiency and the disposal accuracy are improved.

The application discloses a time watermark extraction method and device based on picture optical identification, in which an operation and maintenance personnel submits an equipment operation and maintenance clock-in picture and current latitude and longitude position information through a terminal. After being acquired by a work order system, the corresponding pre-stored equipment latitude and longitude position information is called, the actual distance between the two is calculated and compared with a set threshold value; if the distance is smaller than the threshold value, the picture is determined to be valid to enter a subsequent step, otherwise, the picture is determined to be invalid and a re-submission instruction is sent to the terminal. Through an open source large model, text information is extracted from the valid picture by optical identification, compared with a preset time format regular expression, and a time text segment existing in the comparison is intercepted, otherwise, the extraction is re-identified; the time segment is converted into a standard time object according to a set format, and a manually filled work order completion time in the work order system is replaced, so that automatic correction is realized. The application solves the problems of low efficiency and easy error of manual identification of the picture time watermark, and lack of a picture authenticity verification method.

The application relates to a 5G-based intelligent operation ticket system and method, which comprises a 5G private network, a law enforcement recorder worn on the body of an operator and used for recording a first visual angle video of an operation site and real-time feedback through the 5G private network, an anti-misoperation handheld terminal held by the operator and used for displaying steps of an electronic operation ticket and performing operation interaction, a master control unit in communication connection with the law enforcement recorder and the anti-misoperation handheld terminal through the 5G private network, and data synchronization between the law enforcement recorder and the anti-misoperation handheld terminal through the 5G private network. In the application, the 5G private network utilizes the characteristics of large bandwidth and low time delay to provide a high-reliability transmission channel for the high-definition video real-time feedback of the law enforcement recorder, the service data interaction of the anti-misoperation handheld terminal and the data synchronization between the two. Data is synchronized between the law enforcement recorder and the anti-misoperation handheld terminal through the 5G private network.