22results about How to "Improve production management efficiency" patented technology

The invention, which relates to the technical field of production line management, discloses an integrated management system applied to a magnetic ring production line, comprising a data acquisition module, a production progress monitoring module, a quality detection module, an equipment management module and an inventory management module. The data acquisition module is used for acquiring various data in the production process in real time by installing various sensors on a production line, such as raw material consumption, production equipment operation parameters, product size, weight and the like; according to the system, comprehensive automation and intelligent monitoring of the production process are realized, the production management efficiency is remarkably improved through implementation of the system, through real-time data acquisition and analysis, the accuracy and timeliness of production decision making are ensured, resource allocation is optimized, raw material and energy consumption is reduced, meanwhile, the inventory level is dynamically adjusted, and the production efficiency is improved. Fund occupation and inventory overstock are reduced, and effective control of cost is realized.

The invention discloses an intelligent meat duck weight estimation method combining deep learning and multi-modal data, and the method comprises the steps: S1, obtaining the visual modal data of a meat duck based on a multi-view camera, S2, collecting the non-visual modal data of the meat duck, and S3, fusing the visual modal data and the non-visual modal data based on a deep learning network, s4, performing meat duck key point detection based on the fusion data, and correcting the posture and shielding error; S5, estimating the weight of the meat duck by using the corrected key point data; according to the intelligent meat duck weight estimation method combining deep learning and multi-modal data, real-time weight estimation of mass meat ducks is realized, the manual operation time is saved, the production management efficiency is remarkably improved, different postures of the meat ducks and complex breeding scenes in which the meat ducks are mutually shielded can be dealt with, and the meat duck weight estimation efficiency is improved. The adaptability and robustness of the weight estimation system in a real breeding environment are enhanced, and the stability performance under various conditions is ensured.

The invention discloses a food quality safety tracking management system based on big data, and relates to the technical field of food safety, the system can collect various quality data in real time at key nodes of dairy product production and storage, and realize automatic association of batch information. The parameter acquisition module acquires dairy product production data in real time through acquisition equipment installed at a production node, and acquires storage data at a storage node at the same time. After the data is transmitted to the central database, the system preprocesses the data, and finally a complete preservative traceability data set is generated. And associating the quality data of each batch by using the unique identifier, and associating the dairy product batch ID with the preservative batch ID to form a dairy product component association table PCA, and establishing a detailed tracing relationship between different batches. The module enhances the traceability and transparency of the product quality, and is convenient for quickly finding out the problem source when the quality problem occurs.

According to the glass production management method and device, the electronic equipment and the storage medium provided by the invention, the multiple glass production tasks and the to-be-inserted patch task information are acquired, and the multiple candidate glass production tasks are determined from the multiple glass production tasks according to the patch task information; according to the task insertion optimization rate corresponding to each candidate glass production task, determining a target glass production task from the plurality of candidate glass production tasks, and according to the processing priority corresponding to the patch task information, the task insertion optimization rate corresponding to the target glass production task and the production optimization rate corresponding to each of the other glass production tasks, determining the target glass production task according to the processing priority corresponding to the patch task information. And performing task sorting, determining a glass production task execution sequence, and performing glass production management according to the glass production task execution sequence. The method can achieve the order insertion production of the glass patch order, achieves the intelligent glass production management, improves the glass production management efficiency, reduces the glass production cost, and can be widely applied to the technical field of glass production and processing.

The invention relates to the technical field of workshop workflow management. The workshop workflow management method comprises the steps that production information of a production workshop is obtained, a production material preparation list is confirmed, material distribution information is determined according to the production material preparation list, the material distribution information is matched with operation report information of an operator, verification error prompt information is obtained, and the verification error prompt information is sent to the computer equipment. The method comprises the steps of obtaining operation record information in the production process according to material information, confirming an abnormal reason causing verification matching inconsistency based on the operation record information and in combination with the material information, obtaining updated operation report information, matching the updated operation report information with material distribution information again, generating corrected operation report information, and sending the corrected operation report information to a server. And checking the corrected operation report information, and storing the corrected operation report information in a production flow database. The device has the effect of improving the working efficiency of a production workshop.

The invention discloses a computer data intelligent identification system and method, and relates to the technical field of data intelligent identification. Equipment state parameters are obtained by carrying out real-time monitoring and state evaluation on equipment in a large-scale factory, comprehensive analysis is carried out according to the equipment state parameters to obtain the latest acquisition frequency of the equipment, the data acquisition frequency can be dynamically adjusted according to the equipment state, self-adaption of computer data acquisition of the large-scale factory is achieved, and the data acquisition efficiency is improved. The change of the equipment state is better reflected, and the validity and timeliness of data acquisition are ensured; through comprehensive analysis of equipment operation values, vibration abnormal values, important scores and the like of all equipment in the large-scale factory, the production state of the large-scale factory is judged, corresponding decisions are output, changes of the production state can be quickly responded, the risk of equipment faults to production is reduced, and the safety and stability of the production process are ensured; and meanwhile, an automatic decision output module can reduce errors and delay of manual judgment and improve the decision speed and accuracy.

The invention relates to the technical field of industrial production state monitoring, and discloses a production state audit playback method and device, and the method comprises the steps: recognizing a measuring instrument and a valve as targets based on an upper process configuration image through employing a target detection technology, and binding the targets as an integral target; performing information identification on each overall target, and determining detailed information of each overall target in the upper process configuration picture; based on a video compression technology, determining a complete frame and a difference frame of a production state according to detailed information of the overall target; and obtaining a request playback time, constructing an initial picture of the production state according to the initial complete frame, and playing back the production state according to the time sequence of the subsequent complete frame and the difference frame. According to the invention, real-time monitoring and auditing playback of key equipment and parameters in the production process can be realized, and the efficiency and accuracy of production management are improved.

The invention discloses a large-handling-capacity horizontal scraper discharging centrifugal machine and a using method thereof. A driving motor included in the large-handling-capacity horizontal scraper discharging centrifugal machine provides power for the centrifugal machine, and the driving motor comprises a stator and a rotor; the transmission device realizes stable and efficient transmission of power of the driving motor, and adopts a herringbone toothed belt wheel to provide large torque output; the screen basket is used for centrifugally separating materials, and solid-liquid separation of the materials is achieved through centrifugal force generated by rotating the screen basket at a high speed; the scraper adopts a small-lead spiral blade design, and the small-lead spiral blade enables the scraper to scrape materials on the inner wall of the screen basket when the scraper rotates along with the screen basket; a feeding pipe of the feeding system is a circular pipeline, the inlet end of the feeding pipe is connected with the material conveying pipeline, and the outlet end of the feeding pipe is arranged on one side of the screening basket in the tangential direction. According to the centrifugal machine, the problems of processing capacity, transmission stability, feeding mode, maintenance convenience, part protection, environmental adaptability and the like of vertical and horizontal centrifugal machines in the prior art are solved.

The invention, which belongs to the technical field of electrical cabinet control, discloses an electrical cabinet operation automation control system comprising an information management module, a strategy module, a monitoring module and a control module. The information management module is used for performing information management on each electrical cabinet and establishing an information base; identifying the information of each electrical cabinet in the information base, and establishing a control conversion unit of each electrical cabinet according to the information of each electrical cabinet; the strategy module is used for setting a control strategy by a user according to a management requirement and sending the control strategy to the control conversion unit in each electrical cabinet; the monitoring module is used for monitoring each electrical cabinet, establishing a display model, acquiring monitoring data of each electrical cabinet in real time, and inputting the monitoring data into the display model for real-time display; and the control module is used for controlling each electrical cabinet, identifying the monitoring data of each electrical cabinet in the display model in real time, acquiring a control implementation strategy of each electrical cabinet, and performing control processing on the electrical cabinet according to the control implementation strategy and the monitoring data.

This invention relates to the field of oilfield single-well two-phase automatic metering device, specifically applicable to the field of oil production metering in low-yield oilfield blocks. The device comprises a metering inlet pipe, a metering outlet pipe, a right piston metering chamber, and a left piston metering chamber. A right piston is movable and sealed within the right piston metering chamber. The right piston metering chamber is connected to the metering inlet pipe via a right piston inlet electric valve and to the metering outlet pipe via a right piston outlet electric valve. A right piston connecting rod is connected to the right piston. This invention features a simple structure and ease of use. The piston moves continuously under the pressure of the oil well's produced fluid. A linkage device and a valve switching contact switch coordinate valve switching and piston movement, ultimately achieving continuous and accurate metering of single-well oil production. This improves the efficiency of crude oil production management in both high- and low-yield oilfield blocks.

The utility model discloses a self-circulation device for a homogenizing bin. The self-circulation device comprises the homogenizing bin, a feeding device, a homogenizing storage bin, a circulation unit, a material level detection device and an alarm device. The top of the homogenizing bin is communicated with the feeding device; the bottom of the homogenizing bin is communicated with the homogenizing storage bin; the circulating unit comprises a circulating pipeline and a fan, the circulating pipeline is communicated with the homogenizing storage bin, and the top end of the circulating pipeline is communicated with the top of the homogenizing bin; the fan is mounted on the circulating pipeline; the material level detection device comprises a first material level detector and a second material level detector which are connected with the fan and the alarm device through circuits; the first material level detector is mounted at a preset homogenization starting material level height, and triggers the fan to start and the red light of the alarm device to light when detecting the material; and the second material level detector is mounted at a preset homogenization stop material level height, and triggers the fan to stop and the green light of the alarm device to light when detecting the material. The product stability is improved, the production management efficiency is improved, and the safety of the production process is enhanced.

The invention belongs to the technical field of video monitoring, and particularly relates to a video monitoring multi-angle cruise optimization method and system based on Redis. A cruise path is set and stored, a cruise service interacts with a database and Redis, the path is recorded, expiration time is set, relevant parameters are initialized, then cruise operation is executed according to the path, the cruise operation comprises rotation of a preset point, monitoring of residence time, switching of the preset point and the like, the expiration time is prolonged regularly, and the execution state is detected to guarantee stable operation. According to the method, repeated execution is prevented by using a distributed lock mechanism, expansibility is improved by means of efficient data caching and a distributed architecture, the defects in the prior art are effectively overcome, reliability, accuracy and expansibility of video monitoring multi-angle cruise are remarkably improved, and the method is suitable for popularization and application. The method can be widely applied to video monitoring requirements of various scenes such as urban security and protection, industrial production, transportation hubs and the like to promote efficient application and development of a video monitoring technology in a complex environment.

The utility model relates to the technical field of aluminum electrolysis cell guide rod equidistant pressure drop detection, and discloses a high-precision aluminum electrolysis cell guide rod equidistant pressure drop detection device, which comprises a control system box, a touch screen and a mobile detection device, the mobile detection device is connected with the control system box through a 485 communication line, the mobile detection device is arranged in the electrolytic bath, a touch screen is arranged on the outer side of the control system box, the touch screen is connected with the side wall of the control system box in a matched mode through an adaptive screw, and the touch screen is connected with a circuit board in the control system box through a 485 communication line which is the same as the 485 communication line. The high-precision isometric pressure drop detection device for the guide rod of the aluminum electrolysis cell effectively researches a guide rod parameter distributed online detection technology adapted to the space and environment of the electrolysis cell and a technology easy to install and operate, and develops a centralized monitoring control device for the guide rod parameter of the aluminum electrolysis cell, which is low in cost, easy to install, high in precision and high in reliability.

The present invention proposes a barcode-based collaborative management system and method for aviation parts manufacturing, including: a barcode generation rule management module, which is mainly aimed at various stages and businesses of parts manufacturing, and automatically generates unique identification barcodes in the system according to various barcode rules; a barcode printing management module, which automatically generates barcode information according to the information set by the barcode generation rule; a barcode recognition management module, which realizes meaning correspondence for the entire process of enterprise value creation; in the recognition process, a barcode scanner, a mobile phone or a pad's supply chain collaboration App is used to scan the equipment or document barcode, record key process and business flow information, and automatically obtain the barcode information into the system to complete information collection and storage; a statistical analysis management module, which performs statistical analysis on key processes after the product assembly is completed according to various types of information stored by scanning the code, and realizes the logistics and installation information traceability of the entire manufacturing process based on barcodes.

The application provides a kind of intelligent scheduling method and system based on data layering, it is related to intelligent workshop scheduling technical field. Specifically includes: integrating workshop multi-source production data, constructing digital twin layer, constructing workshop digital twin model for whole workshop data, further dividing high-frequency update equipment model according to the frequency of equipment data update;According to the difference of data frequency, the digital twin model is dynamically updated in layers;Based on model output, collaborative realization equipment maintenance and production scheduling, process evaluation and iterative optimization of digital twin model are carried out.The application integrates multi-source production data, implements hierarchical dynamic scheduling combined with data frequency difference, avoids full model redundant operation, improves scheduling response efficiency, reduces equipment downtime, achieves the intelligent whole-process collaborative scheduling goal of significantly improving workshop task completion efficiency and equipment utilization.

The application relates to the technical field of disc head placing devices, in particular to a disc head placing device and placing method special for a small sample warping machine, which comprises a base plate, a protective cover is arranged above the base plate, a disc head special for the small sample warping machine is arranged between the base plate and the protective cover, and an inserting cylinder is fixed to the top surface of the base plate and the bottom surface of the top plate of the protective cover. The beneficial effect is that the two ends of the disc head special for the small sample warping machine can be inserted into the inserting cylinder by arranging the inserting cylinder on the top surface and the bottom surface of the base plate and the protective cover, rubber pads are arranged on the upper and lower sides of the disc head, and rubber covers are arranged outside the inserting cylinder. The multiple designs make the disc head be firmly clamped between the base plate and the protective cover, the elastic deformation of the rubber pads and the rubber covers further enhances the stability of the fixation, effectively avoids the disc head from swinging during use, protects the disc head from being damaged, prolongs the service life of the disc head, and guarantees the safety of surrounding equipment and personnel.

The invention discloses a zero-sample standard operation program generation method and device, equipment and a storage medium. The method comprises the following steps: acquiring a plurality of production videos, and extracting image features of each frame in each video by using a visual language model; through multi-video cooperative processing and dynamic similarity filtering, standard operation in a target video is identified, and irrelevant frames are filtered; detecting an operation boundary from the filtered frame by using a cosine energy change point detection algorithm, and segmenting the target video into a plurality of operation steps; standard time is calculated for each operation step; inputting the image features and the prompt information corresponding to the operation steps into a visual language model, and generating text description of each step; and generating a standard operation program document based on the standard time and the text description. The method does not need labeling data in a specific field, can automatically and efficiently generate an accurate standard operation program, and is suitable for various production environments, especially frequently-changed manufacturing processes.

This invention discloses an air compressor control system, which specifically includes: a data acquisition module for acquiring multi-source heterogeneous operating parameters of the air compressor; a modeling module for embedding the multi-source heterogeneous operating parameters into a high-dimensional phase space and learning a low-dimensional Riemannian manifold model of system evolution through a diffusion mapping algorithm; a construction module for constructing a thermodynamic potential function of the inflation process as a constraint condition for system evolution; a control module for predicting the future state of the system based on the low-dimensional Riemannian manifold model and geodesic equations, and calculating control commands in conjunction with the thermodynamic potential function; and an execution module for responding to control commands in real time and adjusting the operating parameters of the air compressor in a closed loop. This invention utilizes phase space reconstruction to embed multi-source heterogeneous operating parameters into a high-dimensional phase space, employs a diffusion mapping algorithm to learn a low-dimensional Riemannian manifold model of system evolution, solves geodesic equations on the manifold to predict the future state of the system, and anticipates pressure change trends in advance, thereby improving the control accuracy of the inflation process.

The invention provides a production main plan scheduling optimization method and device, equipment and a medium, and belongs to the technical field of scheduling systems. The method comprises the following steps: constructing a production resource utilization rate objective function by taking a plurality of production requirements and the production speed of production equipment as input and taking maximum production resource utilization rate as output, and determining constraint conditions of the production resource utilization rate objective function; performing optimization solution on the production resource utilization rate objective function by utilizing a genetic algorithm, and determining a plurality of optimal production requirements meeting constraint conditions of the production resource utilization rate objective function and the production speed of the production equipment; and issuing the plurality of optimal production requirements and the production speed of the production equipment to a production workshop so as to control the production workshop to perform production according to the plurality of optimal production requirements and the production speed of the corresponding production equipment. Through multi-factor optimization and the genetic algorithm, the production resource utilization rate and the quality searching quality are improved, the cost is reduced, and the production efficiency is also improved.

The present invention provides a product processing traceability accounting method and system based on traceability identification, the method comprising the following steps: obtaining product basic information and multiple necessary product processing processes; generating a traceability identification of the current batch of target products; before processing the target product, obtaining the personnel information of the processing participants, marking the traceability identification with a product initial marking device, and counting the initial marking quantity; for each necessary product processing process of the target product, the traceability identification is checked by the necessary product processing marking device, and a new traceability identification is marked, and the verification passing quantity and the marking quantity are respectively counted; when the target product completes all necessary product processing processes, the product identification verification device is used to perform the final identification verification step, and the verification passing quantity is counted; combining the initial marking quantity, the verification passing quantity, the marking quantity, the verification passing quantity and the personnel information, a processing quantity accounting list is generated. The present invention has the effect of accurately calculating the workload.

The utility model belongs to the technical field of fixing devices, and particularly relates to a stamping device for machining metal parts, which comprises a stamping component, a material collecting component is arranged on the right side of the stamping component, and a buffer component is arranged at the inner end of the material collecting component. The problems that in the prior art, an automatic waste separation and storage mechanism is lacked, waste is prone to being accumulated and wound in the collecting process, the cleanliness of the working environment is affected, shutdown overhaul is possibly caused by the fact that equipment is blocked by the waste, and the non-production time is prolonged are solved. The hydraulic driving part is matched with the stamping top die and the stamping bottom die to achieve rapid stamping forming, the cutting transverse knife automatically separates the waste plate body, manual intervention on the waste treatment link is not needed, meanwhile, the waste transfer and treatment process is conveniently planned in time, and the production management efficiency is improved.

The present invention provides a method and system for cloud intelligent management of water, fertilizer and soil properties of crop roots, wherein the method comprises the following steps: obtaining growth environment information of crop roots in a health management area; determining growth environment interference items of crop roots in a health management area; using an interference item disturbance degree algorithm to determine the priority and interference degree of growth environment interference items according to growth environment information; regulating and managing the growth environment of crop roots according to the priority and interference degree of growth environment interference items. The present invention manages the most important rhizosphere part of plant nutrition and material exchange through four aspects of plant water, fertilizer, gas and medicine, so as to achieve the effect of 1% rhizosphere management>100% whole field management, which can not only realize the automation of plant health management, but also save control management costs and improve production management efficiency.