178 results about "Integrated operations" patented technology

The invention provides a multi-agent collaborative decision-making operation and maintenance platform for an on-cloud electric power information system, which is suitable for integrated operation and maintenance of the on-cloud electric power information system, the operation and maintenance platform is in butt joint with a plurality of different on-cloud electric power information systems, and each on-cloud electric power information system is deployed with a plurality of agents responsible for different basic tasks. The operation and maintenance platform is composed of an operation and maintenance task making module, an agent calling module, a workflow generation module, a collaborative decision execution module and an operation and maintenance report distribution module. According to the operation and maintenance platform, multi-agent collaborative decision-making is realized, so that an operation and maintenance response mechanism is converted from passive discovery to active early warning, an execution mode is upgraded from manual driving to intelligent driving, knowledge management is evolved from scattered storage to structured reasoning, and the operation toughness, adaptability and intelligent level of a cloud electric power information system are comprehensively improved.

The invention particularly relates to an intelligent factory integrated operation management method based on multi-system integration, and relates to the technical field of intelligent factory operation management. Performing intelligent planning and robustness decision making; performing production execution and monitoring; and carrying out equipment full-life-cycle management. According to the method, the limitation of a traditional static plan is thoroughly broken through through a collaborative mechanism of multi-dimensional risk index linkage, dynamic time buffering and a plan chain; on one hand, the DTB performs real-time calculation based on a supply chain risk index, an equipment health index and a process stability index, approaches reference buffer to avoid resource waste when the risk is low, automatically expands to absorb disturbance when the risk is high, and ensures dynamic balance of plan efficiency and disturbance resistance; and on the other hand, the pre-generated plan chain is rapidly triggered when the disturbance exceeds the limit, global rearrangement is not needed, and continuous production can be guaranteed only through local adjustment.

The invention discloses an intelligent precise irrigation and nutrient regulation and control integrated system and method for rice, and particularly relates to the technical field of intelligent agriculture, and the system comprises a multi-mode sensing module, an edge computing node, an intelligent decision module, a water and fertilizer cooperative execution module and a credible monitoring module. Rice rhizosphere and leaf environment data are collected through an underground nano sensor and a canopy multispectral imaging device, data fusion and model reasoning are carried out through edge nodes, an irrigation strategy value is output in combination with a mechanism model and an AI model, and a pulse injection device is controlled to achieve precise water and fertilizer integrated operation. The system supports network disconnection operation and night model updating, and the stability and the self-adaptive capability are improved. According to the method, the environment data acquisition precision and the irrigation decision response speed are improved, the interpretability and robustness of the model are enhanced, the water resource utilization efficiency and the intelligent management level are effectively improved, and the method has wide application and popularization values.

The invention discloses a gas storage integrated operation model construction method and system based on digital and intelligent twinning, and relates to the field of gas storage integrated operation model construction, and the method comprises the steps: constructing a single well IPR and VLP curve; a mode of combining forward pressure regulation and reverse pressure regulation is adopted, a pressure value set of all nodes after pressure stabilization is output, and a preliminary pressure steady-state scheme is formed; an economic value evaluation index function is constructed, and the total daily operation cost of the system under the given gas production rate is evaluated; a comprehensive optimization model based on a neural network is constructed, and injection-production quantity reference values of all wells and target values of all nodes are output; and verifying the stability of the comprehensive optimization model based on the neural network according to the output injection-production quantity reference values of all wells and the target values of all the nodes. The method has the advantages that the physical law of gas storage injection and production, the system pressure balance and the economical efficiency target are deeply fused, and a fast and reliable closed loop from pressure steady-state optimization to an economical optimal decision is achieved.

The invention discloses a family resource optimization system based on artificial intelligence, and the system comprises a family digital twinning layer which is used for constructing a dynamic digital twinning layer which is synchronous with a family physical environment; the global sensing layer is used for connecting a physical family and digital twinning and converting original sensor data into semantic understanding capable of being utilized by the digital twinning; the cognitive decision-making layer is used for reasoning and learning the semantic understanding provided by the global perception layer and generating a digital instruction; and the physical execution and closed loop layer is used for converting the digital instruction into an executable specific action and is responsible for collecting consequences and feedback generated by the action so as to form a complete perception-cognition-action-feedback intelligent closed loop. By means of the family resource optimization system based on artificial intelligence, the problems that current family resources are passive in response, lack of unified scheduling and optimization, low in credibility and the like can be solved, and the intelligent and integrated operation capacity of the family resources is remarkably improved.

The invention is suitable for the technical field of engineering investigation, and provides an engineering investigation digital drilling machine based on the Internet of Things sensing technology and a big data service system.The digital drilling machine comprises a drill tower, a hydraulic standard penetration piece, a slurry pump, an integrated operation table, a double-clamping structure, a power head, monitoring equipment and other assemblies; linkage and data interaction of all the assemblies are achieved through a controller special for engineering machinery. The big data service system covers three aspects of a data architecture, a core algorithm and a security mechanism, the data architecture comprises an edge computing layer and a cloud analysis layer, the core algorithm comprises a drilling efficiency prediction model and equipment health degree evaluation, and the security mechanism comprises data encryption and access control. The big data service system provides intelligent decision support and service for engineering investigation, and the engineering investigation efficiency and quality are effectively improved.

The invention relates to a coal industry chain operation plan assessment method and device, equipment and a storage medium. The method comprises the steps of obtaining to-be-assessed data; determining an evaluation index of the multi-dimensional evaluation index system; determining an evaluation period, a simulation scene and time constraints, space constraints, occurrence probability and influence intensity related to the simulation scene, and obtaining scene setting parameters; a preset objective weighting method is adopted to calculate the weight of each third-level index, and a TOPSIS multi-attribute decision model is combined to calculate and obtain a comprehensive evaluation result; performing problem analysis based on the comprehensive evaluation result, generating optimization suggestions corresponding to the problems, and obtaining a plan analysis result; and generating a target evaluation report. According to the integrated operation plan evaluation method provided by the invention, automatic acquisition and analysis of index data and report generation can be realized, automation and intelligence of an evaluation process are effectively realized, and evaluation efficiency, accuracy and systematicness of a coal industry chain operation plan are greatly improved.

The invention is suitable for the technical field of communication, and provides a 5G lightweight core network-based computing network integration intelligent scheduling method, which comprises the following steps of: analyzing a computing task and a resource demand vector thereof by acquiring a task demand, computing power and a network resource state, further matching the demand with the resource state, and applying an improved particle swarm optimization or convex optimization algorithm and the like to obtain a computing network integration intelligent scheduling result. Generating an optimal task scheduling strategy, determining a mapping relation between the task and a computing power node and a network path, distributing the task to an edge node for execution according to the strategy, guaranteeing the data transmission efficiency through a UPF local shunting technology, and finally updating a global scheduling model through federal learning iteration based on a task execution result. And a closed-loop scheduling system with continuous optimization capability is formed. Unified management and integrated operation of computing power and network resources are realized, and through a lightweight core network and an intelligent scheduling algorithm, the task time delay is remarkably reduced, and the resource utilization rate is improved.

The invention discloses 3D flatness detection and TRAY disc material receiving integrated equipment which comprises a base, one side of the top of the base is fixedly connected with a first Y-axis KK module, and the output end of the first Y-axis KK module is fixedly connected with a first Z-axis KK module. The invention relates to the technical field of electronic component production equipment, a double-linear motor carrier is adopted to alternately receive and transfer mounted electronic components, in the transfer process, the appearance and planeness of materials are accurately detected, automatic lifting and moving management is carried out on a TRAY disc, and the production efficiency of the electronic components is improved. According to the utility model, materials meeting the standard are automatically collected to the TRAY disc, so that the integrated operation of detecting and collecting the surface-mounted electronic elements is realized, the production space is saved, the equipment cost is reduced, the materials are always kept in an efficient and stable running state in the processes of transferring, detecting and collecting, the problems of wrong transmission, damage and the like of the materials are effectively avoided, and the production efficiency of the surface-mounted electronic elements is improved. Therefore, the production efficiency and the product quality are improved.

The invention relates to the technical field of intelligent warehouse management, in particular to a warehouse operation method and system based on storage location and picking path integrated optimization, and the method comprises the steps: building a dynamic storage location distribution optimization model with the minimization of the total space waste value of a whole warehouse as an optimization target based on an initialized storage layout parameter set; performing iterative solution on the dynamic storage location allocation optimization model to obtain an initial tray storage location allocation scheme; according to the real-time order information and the initial tray storage location distribution scheme, generating an optimal order picking path of each order; and carrying out storage location secondary allocation on the remaining material storage location according to the warehouse remaining material storage state after the optimal order picking path is executed to obtain a storage location reallocation scheme, thereby generating a storage location-path integrated operation instruction, and controlling the warehouse management system to operate through the storage location-path integrated operation instruction. According to the invention, through collaborative optimization of the storage location allocation and the picking path, integrated collaborative optimization of the storage layout, the storage location allocation and the picking path is realized.

The invention relates to the technical field of intelligent testing equipment, in particular to coke property intelligent testing equipment which comprises a dust removal fan, two high-temperature furnaces, a feeding temporary storage station, a particle temporary storage table, a multi-axis robot and a rotary drum mounting frame. Through the multi-axis robot integrating the double clamping jaws, the integrated operation of tool transferring and particle grabbing is achieved, material transferring in the whole link from feeding, pretreatment to testing can be completed without manual contact with samples, sample pollution, particle damage and operation deviation caused by manual sorting, weighing and transferring are effectively avoided, and the working efficiency is improved. Meanwhile, the labor cost is greatly reduced, and the stability and repeatability of the testing process are improved; by means of an information interaction structure of the feeding tool and the read-write device, a unique identity label is established for each coke sample, full-life-cycle information of the samples from feeding, preprocessing to final test data can be recorded in an associated mode in the whole process, and the problems that omission is prone to occurring and tracing is difficult in traditional manual recording are solved.

The present invention discloses a collaborative scheduling system and method for the integrated operation of airport clusters. The system includes: an initial planning subsystem that obtains initial scheduling data and calculates the ETA time of each incoming flight arriving at the destination airport and the ETD time of each departing flight based on the initial scheduling data; a single-airport integrated sequencing management subsystem that plans the corresponding runway scheduling plan and flight arrival and departure schedule based on the ETA time and ETD time of each airport's flights; and an airport cluster airspace integrated management subsystem that, with the goal of maximizing the throughput of the airport cluster, amends the runway scheduling plan and flight arrival and departure schedule corresponding to each airport and forms a conflict-free airspace scheduling plan. The present invention realizes the integrated collaborative scheduling of airport clusters by converting the airport cluster integrated scheduling problem into an airspace macro-scheduling model and a single-airport micro-scheduling model, comprehensively considering the flight timing constraints between airports, and realizing the integrated collaborative scheduling of airport clusters.

The application provides a cloud-based industrial equipment multi-task integrated operation and maintenance method and system. The method comprises the following steps: obtaining an operation and maintenance task of an industrial equipment, constructing a multi-task integrated operation and maintenance basic model based on the operation and maintenance task; obtaining multi-modal feature data of the industrial equipment, and presetting a cross-modal feature fusion mechanism based on the multi-modal feature data; training the multi-task integrated operation and maintenance basic model by using a multi-modal cloud joint method based on the preset cross-modal feature fusion mechanism; obtaining a multi-task integrated operation and maintenance large model of the industrial equipment based on the trained multi-task integrated operation and maintenance basic model; and performing multi-task integrated operation and maintenance of the industrial equipment, such as anomaly detection, fault diagnosis and life prediction, based on the multi-task integrated operation and maintenance large model. The multi-task integrated operation and maintenance large model formed by the application significantly improves the operation and maintenance efficiency and reliability of the industrial equipment in a complex scene.

The invention discloses an automatic stacking machine, and belongs to the field of stacking machines. Comprising a belt conveying line, and the discharging end of the belt conveying line is connected with a roller conveying line; a stacking tray is arranged beside the tail end of the roller conveying line, a stand column mechanical arm is correspondingly arranged on one side of the tray, and a mechanical head is integrated at the tail end of the stand column mechanical arm. A storage assembly is arranged on the side of the stand column mechanical arm. And an air blowing assembly and a transmission assembly linked with the mechanical head are integrated in the storage assembly. According to the automatic stacking machine, the storage assembly is integrated with a transmission and air blowing assembly linked with a mechanical head, the problem of electrostatic adhesion of annular paperboards is solved, and abnormal material taking and waste are avoided; lifting and adjusting assemblies are matched to adapt to paperboards of different specifications, accurate grabbing and transferring are achieved through the stand column mechanical arm, manual assistance is not needed, and the cost is reduced; the integrated operation table is convenient to regulate and control, the stacking precision and efficiency are improved, the stacking hidden danger is avoided, and the development requirement of large-scale continuous production of the intelligent manufacturing equipment industry can be efficiently met.

The application discloses a kind of based on sensor fusion's full-automatic dam slag salvaging pipe control system, belong to the technical field of intelligent operation and maintenance of hydropower station.System includes multi-source perception module, fusion decision module, integrated execution module, safety protection module and man-machine interaction module.Through water level, load, attitude, vision, wind speed, anti-collision multi-sensor fusion, realize environmental full-factor perception, automatically identify floating object type and adapt to water level and attitude balance, complete slag, log cutting, grappling hook salvage, automatic dumping, electric extension and manned safety operation, can realize eight-way movement with dam crane, one machine multiple hole operation.System has multistage safety protection, salvage load is greater than or equal to 1.5t, vertical stroke is greater than or equal to 9m, uses 380V industrial power supply, durable and reliable structure.The application realizes dam slag unmanned, intelligent, integrated operation, high efficiency, strong safety, low modification cost, suitable for various hydropower station floating object cleaning operation and maintenance.

The present application belongs to the technical field of water, wind, light and storage multi-capability complementary risk evaluation, and relates to a kind of fast high-fidelity integrated operation risk evaluation method of watershed water, wind, light and storage. Firstly, the triggering and transmission mechanism of multi-dimensional risk under multiple uncertainty conditions is analyzed, and the risk generation principle is revealed. Secondly, a risk index quantification method based on boundary damage depth is proposed, which can quantify multi-dimensional risk according to the current operating state and boundary conditions, and help the simulation algorithm directly output risk assessment results. A panoramic time series simulation model integrating expert knowledge is constructed. The explicit water-electricity-storage scheduling capability is introduced into the operation simulation framework through expert experience rules, which not only helps to determine the priority of multi-dimensional risk avoidance, but also ensures the interpretability and reliability of the simulation results. The present application also solves the low efficiency problem caused by the introduction of a large number of 0-1 variables to realize the nonlinear curve of water and electricity and the charging and discharging logic of energy storage, as well as the difficulty of identifying the water-electricity-storage scheduling sequence.

The invention relates to the technical field of sorting devices, in particular to an automatic material equipment sorting device with a cargo sorting mechanism, which comprises two groups of sorting tables, four groups of discharging side plates are arranged at one ends, far away from each other, of the outer surfaces of the two groups of sorting tables, and one group of discharging side plates comprises two groups of side plates; a plurality of hollow discharging shafts are jointly and rotationally installed on the outer surfaces of the sides, close to each other, between the two sets of side plates, a plurality of telescopic holes are evenly formed in the outer surfaces of the discharging shafts, ventilation pipes are jointly and fixedly installed at the two ends of the inner surfaces of the discharging shafts, and a plurality of air bag rings are evenly and fixedly installed on the outer surfaces of the ventilation pipes in a sleeving mode; a plurality of resistance blocks are evenly and fixedly installed on the outer surface of the air bag ring, the other ends of the resistance blocks extend into the telescopic holes, and a tallying table is jointly and fixedly installed on one sides of the two sorting tables. According to the system, the integrated operation process of cargo arrangement and sorting is achieved, the requirement for online manual arrangement is greatly reduced, and therefore the labor cost is reduced while the sorting efficiency is guaranteed.

The invention discloses an ore drilling, sorting and sampling method and device, and provides a novel ore drilling, sorting and sampling method aiming at the problems that function integration, integrated operation and the like of sampling, conveying, crushing and sorting of ore drilling are difficult. Firstly, drilling, smashing and sampling work of a drill bit is achieved through the linear module, then ore samples are conveyed to the sorting system through the linear module and the conveying system, mineral fragments are sorted through a vibrating screen method, and meanwhile the multiple hydraulic cylinders are used for driving all assemblies to achieve flexible adjustment of the angle and the vibrating screen distance. And finally, integration and integrated operation of ore drilling and separation are achieved. According to the method, the number of equipment can be reduced, the sampling process is simplified, the working efficiency is improved, the applicability in a complex environment is enhanced, different terrains and ore sampling requirements can be met, and meanwhile, the method has good economic value for reducing the equipment purchase, operation and maintenance cost.

The invention relates to the technical field of fishing-light complementary power station operation and maintenance, in particular to an intelligent operation and maintenance system for a fishing-light complementary power station, and the system comprises a multi-source data collection layer which is used for collecting the multi-source data of the fishing-light complementary power station and transmitting the multi-source data to an edge calculation layer; the edge computing layer is used for preprocessing the multi-source data and transmitting the preprocessed multi-source data to the cloud service platform; the cloud service platform is used for carrying out operation and maintenance analysis according to the preprocessed multi-source data, then sending out an early warning, generating an operation instruction according to a maintenance scheme, and issuing the operation instruction to an operation and maintenance execution layer; and the operation and maintenance execution layer is used for executing the operation instruction and realizing real maintenance of the fishing-light complementary power station. According to the invention, a fishing and light integrated operation and maintenance view angle is formed based on the multi-source data of the fishing and light complementary power station, an optimal operation and maintenance scheme can be obtained by comprehensively considering photovoltaic power generation and cultivation activities based on the multi-source data, and the economical efficiency and the intelligent degree of operation and maintenance of the fishing and light complementary power station are improved.

According to the Blockly-based sewing automatic machine visual programming system and method, the medium, the program product and the terminal provided by the invention, the code blocks are quickly established in a graphic block dragging manner, and automatic code conversion, encryption and burning integrated operation is provided, so that the secondary development process is simplified. Meanwhile, debugging message output, a drawing function and a plug-in system hot update mode are also considered, and advanced customization requirements of part of users are met. And a built-in interface can realize debugging and file transmission of automaton equipment and other equipment. Through function blocks designed by the system, code conversion, encryption and burning integration and a simulation function, the code error probability is reduced to the greatest extent, so that the code development efficiency and quality are improved. According to the plug-in system, the updating and upgrading process of an existing system is simplified, the secondary development threshold is lowered, and the reliability of codes is ensured.

The invention discloses a metal wire inverted take-up machine, belongs to the technical field of metal wire take-up, and aims to solve the problems that existing take-up equipment is dispersed in function and insufficient in straightening, production needs to be interrupted during weighing, and unloading depends on manpower. The take-up machine comprises a pay-off rack, a traction device and a take-up translation device, the pay-off rack, the traction device and the take-up translation device are integrated, so that the whole-process integrated operation of pay-off, straightening, take-up, shearing, weighing and translation unloading is realized, high-precision take-up and weighing can be completed without interruption of production, the production efficiency is improved, the production cost is reduced, and the production efficiency is improved. And the problems of scratching and loosening of the wire rod in the process transfer are effectively avoided.

The invention discloses an intelligent in-situ permeation device and a use method, and belongs to the technical field of geotechnical engineering test equipment, and the intelligent in-situ permeation device comprises a supporting structure, an outer ring cylinder and an inner ring cylinder which are coaxially arranged, a double-ring lifting structure and a drilling groove structure. The supporting structure is integrally suspended and fixed through the circular track and the supporting legs; the double-ring lifting structure drives the double-ring cylinder to vertically lift; the groove drilling structure moves in the circumferential direction of the circular track through the moving trolley, and the position of the groove drilling assembly is adjusted in the radial direction through the transverse movement driving assembly, so that the groove drilling assembly is accurately positioned below the bottom edge of the double-ring cylinder. According to the device, an elastic telescopic rod self-adaptive extension and dynamic path tracking mechanism is adopted, when a double-ring cylinder is pressed downwards, a groove drilling assembly is tightly attached to the cylinder wall to synchronously drill an annular pit completely matched with the outer diameter of the double rings, and pit drilling-cylinder falling integrated operation is achieved. The problems of size deviation, ring cylinder inclination and sealing failure caused by traditional pre-digging are solved, and the precision and efficiency of the double-ring penetration test are improved.

The invention provides a mobile refueling metering verification tool car, which relates to the technical field of petrochemical metering verification, and comprises a refueling metering verification unit, a safety unit, a mobile support unit, a metering mechanism, a storage mechanism, a flame arrester, a static elimination mechanism, a support mechanism and a lifting mechanism. The metering barrel and the storage barrel are arranged up and down, so that the integrated operation of primary verification, temporary storage and secondary detection of the oil product is realized; the static electricity eliminating mechanism can guide static electricity and stray current into the ground, the flame arrester prevents flames from entering and prevents oil gas from tempering, and the anti-explosion safety is improved; the bottom is matched with a foot jack through scissor fork lifting, the height can be accurately adjusted to align with the oil gun, and mobile verification is achieved through cooperation with wheels. A traditional independent metering barrel is replaced, manual repeated carrying is not needed, leakage and collision are reduced, operation is easy and convenient, safety and reliability are achieved, the metering self-checking efficiency and operation safety of the oiling machine of the gas station are greatly improved, and the metering barrel is suitable for daily metering checking scenes of the gas station.

The present invention provides a data recovery method and system, which triggers the execution of functions of corresponding functional modules based on different call instructions input in the control bar of an integrated operation interface, thereby generating a recovery job corresponding to the file to be recovered and outputting it to a result library to complete data recovery. This data recovery method simplifies manual operation steps and reduces labor costs. At the same time, different call instructions input in the control bar of the integrated operation interface automatically trigger the execution of functions of corresponding functional modules, avoiding manual operation errors, shortening data recovery time, and thus improving data recovery efficiency.

The present application provides a kind of " quantum computer engineering design management integrated information system prototype system design method ".The present application can be used in integrated operation environment system, integrated information platform, integrated shared database, integrated information interaction system and integrated function system system design.The present application gives the quantum computer engineering design management integrated information system prototype system design method based on system.Around the realization of data flow fusion sharing, event flow dynamic feedback, intervention flow real-time monitoring, control flow accurate call and other information capabilities under integrated operation environment, meet the functional requirements of quantum computing test analysis, chip multi-physical field simulation and project management, based on system top design, the design method of " one operation environment system ", " two support platforms ", " three types of special databases ", " four information interaction spaces " and " five decision support function domains " and the design content of each subsystem (see attached figures 1 to 6).

The present invention discloses a virtual power plant energy management method and system based on air conditioning load, which relates to the field of energy management. The management method includes: obtaining electricity consumption data within the management scope of the virtual power plant, integrating operation information data, and statistically dividing the operation information data according to operation rules and potential allocation models to generate a batch monitoring management set; constructing a virtual power plant electric energy trading framework based on the batch monitoring management set, analyzing the power supply and demand difference and the power balance relationship between virtual power plants, and outputting energy scheduling results within the management scope of the virtual power plant; using air conditioning load data as a demand response resource, optimizing the energy scheduling results to generate air conditioning control instructions, and recording and decomposing the air conditioning control instructions, and outputting the control status of the air conditioner. Through the optimized scheduling of the air conditioning load, the present invention can reduce the demand for air conditioning load during peak power demand periods, thereby effectively reducing system load pressure and avoiding excessive energy consumption.

The invention discloses a vehicle management and control and integrated delivery method for a steel coil unmanned warehouse, and aims to realize full-process efficient management from vehicle entering, warehousing, delivery to final vehicle leaving through automatic and informatization means. According to the method, firstly, an ERP system sends a vehicle distribution plan to a warehouse management system, and vehicles are automatically arranged to enter and exit according to an order transfer verification result of a scheduling system; for the garage entering operation, the garage management system sends the license plate number to a barrier gate system to allow the vehicle to enter, and a garage entering plan is input on the HMI; and when the steel coils are delivered out of the warehouse, a shipper needs to use handheld equipment to confirm the information and sequence of the steel coils, and the system automatically generates a loading list and guides the loading process to be completed. In the whole process, integrated operation of intelligent management and control of the vehicle and delivery is achieved, manual intervention is reduced, and working efficiency and accuracy are improved. The system is particularly suitable for a modernized large-scale steel coil warehouse, and the logistics management level and the operation efficiency can be remarkably improved.

The utility model relates to the technical field of equipment machining, in particular to a device for on-site machining of horizontal rotating equipment, which comprises a placing table, a special-shaped lifting plate, a vertical shaft, an inner frame locking assembly, a grinding detection assembly and pushing assemblies, the special-shaped lifting plate is movably connected to the inner side of the placing table, and the pushing assemblies are mounted on the two sides of the special-shaped lifting plate and the placing table. The inner frame locking assembly is installed on the outer side of the output end of the pushing assembly, and the grinding detection assembly is slidably connected to the bottom of the containing table. According to the device for on-site machining of the horizontal rotating equipment, through joint cooperation of the inner frame locking assembly and the grinding detection assembly, in-situ machining and detection of small horizontal roller equipment are integrated, a four-claw support is matched with an electric telescopic rod, the device can rapidly adapt to fixing of the inner walls of rollers with different diameters, and the machining precision is improved. And meanwhile, the flaw detection sensors are symmetrically arranged, so that real-time quality monitoring in the polishing process is achieved, and the industrial-grade machining requirement is met.

The present invention relates to the technical field of operation and maintenance management, and specifically relates to an integrated operation and maintenance management system and method based on AIOps; the method includes: collecting multi-source IT operation and maintenance data and completing standardized preprocessing to form operation and maintenance data input in a unified format; classifying and storing the preprocessed data using a hybrid storage architecture, and implementing data synchronization through a cross-database synchronization tool to break data silos; performing intelligent analysis on the data based on the TensorFlow framework to generate fault diagnosis results and performance trend prediction data; generating operation and maintenance decisions according to the analysis results, and performing automatic repair, work order allocation or resource scheduling operations; outputting operation and maintenance management results, presenting data and decision execution situations through a visualization interface, and providing report generation and management configuration functions; through a full-process automated data processing and intelligent operation and maintenance decision-making mechanism with multi-module collaboration, the technical problems of slow fault response, weak data integration, low accuracy of risk prediction and low operation and maintenance efficiency in the traditional operation and maintenance mode are solved.

The invention relates to the technical field of automatic processing equipment, and discloses cable terminal crimping equipment, which is characterized in that a wire stripping mechanism, a polishing mechanism, a crimping mechanism and a visual inspection mechanism are integrated in the same equipment, so that the whole-process integrated operation of cable terminal processing is realized; due to the integrated design, the working efficiency is remarkably improved, machining errors caused by multiple times of clamping are reduced, and therefore the machining precision is improved; meanwhile, due to the introduction of the visual inspection mechanism, the crimping quality can be monitored in real time, the stability of the product quality is effectively guaranteed, and defects caused by inconsistent manual operation are reduced; in addition, due to the application of the integrated equipment, the labor intensity is reduced, the automation level of the production process is improved, and large-scale popularization and application are facilitated.