Material density monitoring method and device, medium and program product

Abstract

The invention discloses a material density monitoring method and device, a medium and a program product, and relates to the technical field of tobacco industry automation and process control. The material density monitoring method comprises the steps that the material temperature and the material density to be corrected of a cut tobacco making pipeline are obtained; calculating a material density compensation value according to the to-be-corrected density of the material, the material temperature of the cut tobacco making pipeline and the temperature compensation related parameters; and when it is determined that the material density is abnormal based on the material density compensation value and the density monitoring threshold value, generating early warning information. According to the technical scheme, the density of the added materials in the tobacco primary processing process can be accurately monitored in real time, material waste is avoided, and the labor cost is greatly saved.

Description

A material density monitoring method, equipment, medium, and procedure product Technical Field

[0001] This invention relates to the field of automation and process control technology in the tobacco industry, and in particular to a material density monitoring method, equipment, medium, and program product. Background Technology

[0002] The density of materials added during the tobacco processing to enhance flavor and improve quality (such as flavorings and fragrances) is mainly monitored through manual sampling.

[0003] Manual sampling is time-consuming, and samples need to be cooled to standard temperature and humidity (e.g., 22°C). 2 degrees Celsius, humidity 60% Measurements can only be performed if the sample content is less than 5%, and manual sampling is prone to errors (such as reading errors, transfer errors, and air bubbles). When the materials added during the tobacco processing are of high value, manual sampling can also lead to material waste. Summary of the Invention

[0004] This invention provides a material density monitoring method, equipment, medium, and program product to solve the problems of material waste, easy human error, and long time consumption in monitoring the density of materials added in the tobacco processing process by manual sampling.

[0005] According to one aspect of the present invention, a material density monitoring method is provided, comprising: acquiring the material temperature in a spinning pipe and the material density to be corrected; calculating a material density compensation value based on the material density to be corrected, the material temperature in the spinning pipe, and temperature compensation-related parameters; and generating an early warning message when an abnormal material density is determined based on the material density compensation value and a density monitoring threshold.

[0006] According to another aspect of the present invention, a material density monitoring device is provided, comprising: a data acquisition module for acquiring the material temperature in a spinning pipe and the material density to be corrected; a density compensation value calculation module for calculating a material density compensation value based on the material density to be corrected, the material temperature in the spinning pipe, and temperature compensation-related parameters; and an early warning information generation module for generating an early warning information when an abnormal material density is determined based on the material density compensation value and a density monitoring threshold.

[0007] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores a computer program executable by the at least one processor, the computer program being executed by the at least one processor to enable the at least one processor to perform the material density monitoring method according to any embodiment of the present invention.

[0008] According to another aspect of the present invention, a computer-readable storage medium is provided, the computer-readable storage medium storing computer instructions for causing a processor to execute and implement the material density monitoring method according to any embodiment of the present invention.

[0009] According to another aspect of the present invention, a computer program product is provided, the computer program product comprising a computer program that, when executed by a processor, implements the material density monitoring method according to any embodiment of the present invention.

[0010] The technical solution of this invention acquires the material temperature and density to be corrected in the tobacco processing pipeline. Based on this density, the material temperature, and temperature compensation parameters, a material density compensation value is calculated. Then, based on the compensation value and a density monitoring threshold, an early warning message is generated when an abnormal material density is detected. In this solution, the density to be corrected is not obtained through manual sampling; it is immediately usable. Furthermore, the density is corrected using the material temperature and temperature compensation parameters to ensure the accuracy of the compensation value in subsequent anomaly detection. This achieves automated management of the entire process of target material density acquisition, correction, and anomaly detection without manual intervention. It solves the problems of material waste, human error, and time-consuming issues associated with manual sampling for monitoring the density of materials added during tobacco processing. This solution enables real-time and accurate monitoring of the density of materials added during tobacco processing, avoiding material waste and significantly reducing labor costs.

[0011] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of the present invention, nor is it intended to limit the scope of the invention. Other features of the invention will become readily apparent from the following description. Attached Figure Description

[0012] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0013] Figure 1 is a flowchart of a material density monitoring method provided in Embodiment 1 of the present invention; Figure 2 is a flowchart of a material density monitoring method provided in Embodiment 2 of the present invention; Figure 3 is a structural schematic diagram of a material density monitoring device provided in Embodiment 3 of the present invention; Figure 4 shows a structural schematic diagram of an electronic device that can be used to implement the embodiments of the present invention. Detailed Implementation

[0014] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0015] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0016] Figure 1 is a flowchart of a material density monitoring method provided in Embodiment 1 of the present invention. This embodiment is applicable to the automated monitoring of material density. The method can be executed by a material density monitoring device, which can be implemented in hardware and / or software and can be configured in an electronic device. As shown in Figure 1, the method includes: step 110, acquiring the material temperature in the spinning pipe and the material density to be corrected.

[0017] The material temperature in the tobacco processing pipe refers to the temperature of the material inside the pipe during the tobacco processing step. The material inside the pipe that improves the flavor and quality of the tobacco can be simply referred to as the target material. The target material can be flavorings and / or fragrances, etc. The density to be corrected can be the density of the target material read in real time.

[0018] In this embodiment of the invention, the material temperature in the tobacco processing pipeline and the density of the material to be corrected can be obtained.

[0019] Optionally, the density of the material to be corrected can be collected in real time by measuring equipment, or the density of the material to be corrected can be calculated by converting it with flow rate, mass, etc., which are related to the density of the material to be corrected.

[0020] Step 120: Calculate the material density compensation value based on the material density to be corrected, the material temperature in the filament forming pipeline, and the relevant temperature compensation parameters.

[0021] Among them, the temperature compensation parameters can be parameters used to correct the density of the material to be corrected based on the material temperature in the yarn-making pipeline. The material density compensation value can be the corrected value of the material density to be corrected.

[0022] In this embodiment of the invention, based on the thermal expansion characteristics of the target material, temperature compensation-related parameters are determined. Then, based on the temperature compensation-related parameters and the material temperature in the yarn-making pipeline, the density of the material to be corrected is corrected to obtain the material density compensation value, so as to eliminate the influence of temperature change on density measurement.

[0023] Step 130: When an abnormal material density is determined based on the material density compensation value and the density monitoring threshold, an early warning message is generated.

[0024] The density monitoring threshold can be a pre-set density threshold compared to the material density compensation value. Early warning information can be used to indicate the presence of an abnormal density event in the target material. Early warning information may include, but is not limited to, early warning events (such as early warning time, the target material's density compensation value, operator information, etc.), and early warning commands triggered by an abnormal density in the target material.

[0025] In this embodiment of the invention, the material density compensation value is compared with the density monitoring threshold. If the material density compensation value does not meet the constraint of the density monitoring threshold, it indicates that the material density of the target material is abnormal, and thus an early warning information is generated based on the relevant data of the target material.

[0026] Optionally, after generating the warning information, an alarm can be triggered to remind the operator that the density of the target material is abnormal through sound, light and / or visual prompts.

[0027] The technical solution of this invention acquires the material temperature and density to be corrected in the tobacco processing pipeline. Based on this density, the material temperature, and temperature compensation parameters, a material density compensation value is calculated. Then, based on the compensation value and a density monitoring threshold, an early warning message is generated when an abnormal material density is detected. In this solution, the density to be corrected is not obtained through manual sampling; it is immediately usable. Furthermore, the density is corrected using the material temperature and temperature compensation parameters to ensure the accuracy of the compensation value in subsequent anomaly detection. This achieves automated management of the entire process of target material density acquisition, correction, and anomaly detection without manual intervention. It solves the problems of material waste, human error, and time-consuming issues associated with manual sampling for monitoring the density of materials added during tobacco processing. This solution enables real-time and accurate monitoring of the density of materials added during tobacco processing, avoiding material waste and significantly reducing labor costs.

[0028] Figure 2 is a flowchart of a material density monitoring method provided in Embodiment 2 of the present invention. This embodiment is a specific implementation based on the above embodiment, providing a specific optional implementation method for generating a production adjustment plan after generating an early warning information when the material density is determined to be abnormal based on the material density compensation value and the density monitoring threshold. As shown in Figure 2, the method includes: step 210, obtaining the material temperature and the material density to be corrected in the spinning pipeline.

[0029] In an optional embodiment of the present invention, obtaining the material temperature and the material density to be corrected in the yarn forming pipeline may include: obtaining the material temperature and the material density to be corrected in the yarn forming pipeline collected by a first mass flow meter; or, obtaining the material temperature and the material mass flow rate collected by a second mass flow meter; and calculating the material density to be corrected based on the material mass flow rate and the material volume flow rate.

[0030] The first mass flow meter can be a mass flow meter capable of detecting density and temperature. Mass flow meters can include, but are not limited to, Coriolis mass flow meters. The second mass flow meter can be a mass flow meter capable of detecting mass flow rate. The material mass flow rate can be the mass flow rate of the target material. The material volumetric flow rate can be the volumetric flow rate of the target material.

[0031] In this embodiment of the invention, the material temperature and the density to be corrected in the spinning pipe can be collected by a first mass flow meter. Alternatively, while collecting the material temperature in the spinning pipe by a temperature sensor, the material mass flow rate can also be collected by a second mass flow meter, and the quotient of the material mass flow rate and the material volume flow rate can be used as the density to be corrected.

[0032] Step 220: Calculate the material density compensation value based on the material density to be corrected, the material temperature in the filament forming pipeline, and the relevant temperature compensation parameters.

[0033] In an optional embodiment of the present invention, calculating the material density compensation value based on the material density to be corrected, the material temperature in the spinning pipe, and temperature compensation related parameters may include: calculating the difference between the material temperature in the spinning pipe and the reference temperature in the temperature compensation related parameters to obtain the target temperature difference value; and calculating the material density compensation value based on the temperature coefficient in the temperature compensation related parameters, the target temperature difference value, and the material density to be corrected.

[0034] The reference temperature can be the standard temperature value used for manually sampling and measuring the density of the target material. The target temperature difference can be the difference between the material temperature in the yarn-making pipeline and the reference temperature. The temperature coefficient can be the proportionality coefficient between the temperature change and the density change of the target material.

[0035] In this embodiment of the invention, the temperature of the material in the yarn-making pipeline can be calculated, and the difference between it and the reference temperature in the temperature compensation related parameters can be used to obtain the target temperature difference value. Then, the product of the temperature coefficient in the temperature compensation related parameters and the target temperature difference value can be calculated, and the product value can be summed with the material density to be corrected to obtain the material density compensation value.

[0036] In an optional embodiment of the present invention, before calculating the material density compensation value based on the material density to be corrected, the material temperature in the yarn forming pipeline, and temperature compensation related parameters, the method may further include: obtaining the target material density measurement value at different experimental temperatures; and calculating the temperature coefficient in the temperature compensation related parameters based on the target material density measurement value at different experimental temperatures.

[0037] The density measurement value of the target material can be the density measurement value of the target material at different experimental temperatures.

[0038] In this embodiment of the invention, the density of the target material can be measured at multiple different experimental temperatures to obtain the target material density measurement value. Then, the quotient of the target material density measurement value at different experimental temperatures and the target material density measurement value at the reference temperature is divided again with the corresponding temperature difference to obtain the temperature coefficient in the temperature compensation related parameters.

[0039] Step 230: When an abnormal material density is determined based on the material density compensation value and the density monitoring threshold, an early warning message is generated.

[0040] In an optional embodiment of the present invention, when an abnormal material density is determined based on the material density compensation value and the density monitoring threshold, generating an early warning information may include: determining an abnormal material density when the material density compensation value is greater than a first density threshold in the density monitoring threshold, or less than a second density threshold in the density monitoring threshold, generating a density abnormality early warning instruction, and early warning event data.

[0041] The first density threshold can be a pre-set upper limit for the density of the target material. The second density threshold can be a pre-set lower limit for the density of the target material. The density anomaly warning command can be a command that triggers an alarm when the density of the target material is abnormal. The density anomaly warning command is used to trigger alarm signals (such as photoelectric indicator lights) and to store and display alarm event data. The alarm event data can be the data describing the alarm event in the alarm information. Optionally, the density anomaly warning command can also be used to trigger access control of the density monitoring threshold, prohibiting operators from modifying the density monitoring threshold, and only authorized personnel can reset it.

[0042] In this embodiment of the invention, if the material density compensation value is greater than the first density threshold in the density monitoring threshold, or less than the second density threshold in the density monitoring threshold, it indicates that the material density is abnormal. Therefore, when the material density is abnormal, based on the relevant data of the current target material corresponding to the yarn making process, early warning event data and density abnormality early warning instructions are generated.

[0043] Optionally, when the material density compensation value is close to the first density threshold or the second density threshold, i.e., the difference between the material density compensation value and the first density threshold or the second density threshold is less than a preset difference, a yellow warning light can be triggered by a density anomaly warning command. When the material density compensation value is greater than the first density threshold in the density monitoring thresholds, or less than the second density threshold in the density monitoring thresholds, a red warning light can be triggered by a density anomaly warning command.

[0044] Step 240: Based on the material density compensation value under the current time window, draw a material density compensation trend chart.

[0045] The current time window can be the time range within which the material density compensation value trend analysis is currently performed. The material density compensation trend chart can be used to characterize the trend of material density compensation values ​​changing over time.

[0046] In this embodiment of the invention, the material density compensation value under the current time window can be collected, and then a material density compensation trend chart can be drawn with time as the horizontal axis variable and the material density compensation value as the vertical axis variable.

[0047] In an optional embodiment of the present invention, after plotting the material density compensation trend graph based on the material density compensation value under the current time window, the method may further include: when it is determined that there is an instrument acquisition error, calculating the sampling error value of the material density to be corrected; and updating the temperature compensation related parameters based on the sampling error value of the material density to be corrected.

[0048] The sampling error value can be the sampling error of the instrument on the density of the material to be corrected.

[0049] In this embodiment of the invention, the difference between the actual target material value and the material density compensation value at at least one experimental temperature can be determined by temperature compensation-related parameters. If the difference between the actual target material value and the material density compensation value exceeds a preset error threshold, it indicates that there is an instrument acquisition error. Based on the difference between the actual target material value and the material density compensation value calculated above, the sampling error value of the material density to be corrected is determined, and the sampling error value of the material density to be corrected is updated in the temperature compensation-related parameters. After calculating the initial material density compensation value according to the temperature coefficient, target temperature difference value and material density to be corrected in the temperature compensation-related parameters, the initial material density compensation value is then summed with the sampling error value to obtain the final material density compensation value.

[0050] Step 250: Based on the material density compensation trend chart, when an abnormal material density trend is identified, a production adjustment plan is generated based on process control technology and the material density compensation trend chart.

[0051] Among these, an abnormal material density trend can be defined as the material density compensation value continuously increasing or decreasing over time, exceeding a preset slope. A production adjustment plan can be a plan to adjust material allocation.

[0052] In this embodiment of the invention, the presence of anomalies in the material density trend can be determined based on the material density compensation trend chart. When an anomaly in the material density trend is identified, a production adjustment plan to improve the abnormal material density trend in the material density compensation trend chart can be generated through process control technology.

[0053] A material density monitoring system includes a first mass flow meter, a data acquisition and communication module, a density compensation value calculation module, a threshold alarm and access control logic subsystem, a data storage and reporting subsystem, an operation terminal, and a visual interface.

[0054] The first mass flow meter can be an Endress+Hauser flow meter. The data acquisition and communication module can be the data acquisition interface of the programmable controller in the yarn-making process. The threshold alarm and permission logic control subsystem can be used to generate alarm information and restrict the modification permission of density monitoring thresholds. The data storage and reporting subsystem can be used to store early warning event data and generate early warning and yarn-making production reports. The data storage and reporting subsystem can be a factory server or database, etc.

[0055] For example, the execution flow of the material density monitoring system is as follows: The density of the material to be corrected is measured using an Endershaus flow meter. The data acquisition interface of the programmable controller in the yarn-making process collects the material density measured by the Endershaus flow meter. Then, the density compensation value calculation module corrects the material density to obtain the material density compensation value. The threshold alarm and permission logic control subsystem compares the material density compensation value with the density monitoring threshold. If the material density is normal, a material density compensation trend chart is displayed, and data is recorded. If the material density is abnormal, an early warning message is generated, the permission for the density monitoring threshold is locked, and the early warning event is recorded. Further process control analysis is performed based on the material density compensation trend chart or the early warning event to generate reports.

[0056] For example, it can be based on Calculate the material density compensation value; where, This represents the material density compensation value, T represents the material temperature in the yarn-making pipeline, and k represents the temperature coefficient. Indicates the reference temperature. This indicates the density of the material to be corrected.

[0057] The material density monitoring system, based on Endress+Hauser flow meters, monitors the density of target materials online in real time. This means it continuously measures material density in real time during the production process without sampling or stopping the machine. Combined with intelligent judgment of material density anomalies, multi-level alarms, and density anomaly management with access control, it enables real-time data acquisition, storage, trend display, and process control analysis without requiring additional hardware. It also features automatic recording of alarm events and a quality traceability mechanism, achieving fully automated density monitoring and judgment throughout the entire process. The target material detection time is reduced from 30-45 minutes to less than 2 minutes, improving efficiency by over 95%. Human error is eliminated, density repeatability errors are reduced, annual material losses are saved, and labor costs are lowered. It achieves automatic data acquisition, storage, and analysis, supports process control, and reduces traceability time from hours to minutes. No equipment modification is required; it utilizes existing hardware, resulting in low implementation costs.

[0058] The technical solution of this invention obtains the material temperature and the density to be corrected in the yarn-making pipeline, and calculates the material density compensation value based on the material density to be corrected, the material temperature in the yarn-making pipeline, and temperature compensation-related parameters. Then, based on the material density compensation value and the density monitoring threshold, when an abnormal material density is determined, an early warning information is generated. Based on the material density compensation value in the current time window, a material density compensation trend chart is drawn. Furthermore, based on the material density compensation trend chart, when an abnormal material density trend is determined, a production adjustment plan is generated based on process control technology and the material density compensation trend chart. In this solution, the density of the material to be corrected is obtained without relying on manual sampling, and can be used immediately. Furthermore, the density is corrected by using the material temperature in the tobacco processing pipeline and related temperature compensation parameters to ensure the accuracy of the material density compensation value during subsequent anomaly detection. This achieves automated management of the entire process of target material density acquisition, correction, and anomaly detection without manual intervention. Based on the material density compensation value within a certain time range, it performs anomaly detection of material density trends and makes timely adjustments to the target material. This solves the problems of material waste, susceptibility to human error, and long processing time associated with manual sampling for monitoring the density of materials added during tobacco processing. It enables real-time and accurate monitoring of the density of materials added during tobacco processing, avoiding material waste and significantly saving labor costs.

[0059] Figure 3 is a schematic diagram of a material density monitoring device provided in Embodiment 3 of the present invention. As shown in Figure 3, the device includes: a data acquisition module 310, used to acquire the material temperature in the spinning pipeline and the material density to be corrected; a density compensation value calculation module 320, used to calculate the material density compensation value based on the material density to be corrected, the material temperature in the spinning pipeline, and temperature compensation-related parameters; and an early warning information generation module 330, used to generate an early warning information when the material density is determined to be abnormal based on the material density compensation value and the density monitoring threshold.

[0060] The technical solution of this invention acquires the material temperature and density to be corrected in the tobacco processing pipeline. Based on this density, the material temperature, and temperature compensation parameters, a material density compensation value is calculated. Then, based on the compensation value and a density monitoring threshold, an early warning message is generated when an abnormal material density is detected. In this solution, the density to be corrected is not obtained through manual sampling; it is immediately usable. Furthermore, the density is corrected using the material temperature and temperature compensation parameters to ensure the accuracy of the compensation value in subsequent anomaly detection. This achieves automated management of the entire process of target material density acquisition, correction, and anomaly detection without manual intervention. It solves the problems of material waste, human error, and time-consuming issues associated with manual sampling for monitoring the density of materials added during tobacco processing. This solution enables real-time and accurate monitoring of the density of materials added during tobacco processing, avoiding material waste and significantly reducing labor costs.

[0061] Optionally, the data acquisition module 310 is used to acquire the material temperature and the material density to be corrected in the yarn-making pipeline, including: acquiring the material temperature and the material density to be corrected in the yarn-making pipeline collected by the first mass flow meter; or, acquiring the material temperature and the material mass flow rate collected by the second mass flow meter; and calculating the material density to be corrected based on the material mass flow rate and the material volume flow rate.

[0062] Optionally, the density compensation value calculation module 320 is used to calculate the difference between the material temperature in the wire-making pipeline and the reference temperature in the temperature compensation related parameters to obtain the target temperature difference value; and to calculate the material density compensation value based on the temperature coefficient in the temperature compensation related parameters, the target temperature difference value, and the material density to be corrected.

[0063] Optionally, the material density monitoring device further includes a temperature coefficient calculation module, used to obtain the target material density measurement values ​​at different experimental temperatures; and to calculate the temperature coefficient in the temperature compensation related parameters based on the target material density measurement values ​​at different experimental temperatures.

[0064] Optionally, the early warning information generation module 330 is used to determine that the material density is abnormal when the material density compensation value is greater than the first density threshold in the density monitoring threshold, or less than the second density threshold in the density monitoring threshold, and to generate a density abnormality early warning instruction and early warning event data.

[0065] Optionally, the material density monitoring device also includes a production adjustment plan generation module, used to draw a material density compensation trend chart based on the material density compensation value under the current time window; and to generate a production adjustment plan based on process control technology and the material density compensation trend chart when it is determined that there is an abnormal material density trend.

[0066] Optionally, the material density monitoring device further includes a parameter update module, used to calculate the sampling error value of the material density to be corrected when it is determined that there is an instrument acquisition error; and to update the temperature compensation related parameters based on the sampling error value of the material density to be corrected.

[0067] The material density monitoring device provided in this embodiment of the invention can execute the material density monitoring method provided in any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the method.

[0068] Figure 4 illustrates a schematic diagram of an electronic device that can be used to implement embodiments of the present invention. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital assistants, cellular phones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the invention described and / or claimed herein.

[0069] As shown in Figure 4, the electronic device 10 includes at least one processor 11 and a memory, such as ROM 12 or RAM 13, communicatively connected to the at least one processor 11. The memory stores computer programs executable by the at least one processor. The processor 11 can perform various appropriate actions and processes based on the computer programs stored in the ROM 12 or loaded into the RAM 13 from storage unit 18. The RAM 13 can also store various programs and data required for the operation of the electronic device 10. The processor 11, ROM 12, and RAM 13 are interconnected via a bus 14. An I / O interface 15 is also connected to the bus 14. The ROM 12 is a read-only memory, the RAM 13 is a random access memory, and the I / O interface 15 is an input / output interface.

[0070] Multiple components in electronic device 10 are connected to I / O interface 15, including: input unit 16, such as keyboard, mouse, etc.; output unit 17, such as various types of displays, speakers, etc.; storage unit 18, such as disk, optical disk, etc.; and communication unit 19, such as network card, modem, wireless transceiver, etc. Communication unit 19 allows electronic device 10 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0071] Processor 11 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of processor 11 include, but are not limited to, central processing unit (CPU), graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, digital signal processors (DSPs), and any suitable processor, controller, microcontroller, etc. Processor 11 performs the various methods and processes described above, such as material density monitoring methods.

[0072] In some embodiments, the material density monitoring method may be implemented as a computer program tangibly contained in a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed on electronic device 10 via ROM 12 and / or communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the material density monitoring method described above may be performed. Alternatively, in other embodiments, processor 11 may be configured to perform the material density monitoring method by any other suitable means (e.g., by means of firmware).

[0073] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SoCs), payload-programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0074] Computer programs used to implement the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when executed by the processor, the computer programs cause the functions / operations specified in the flowcharts and / or block diagrams to be performed. The computer programs may be executed entirely on a machine, partially on a machine, or as a standalone software package, partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0075] In the context of this invention, a computer-readable storage medium can be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, apparatus, or device. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, RAM, ROM, erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0076] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0077] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or middleware components (e.g., application servers), or frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include local area networks (LANs), wide area networks (WANs), blockchain networks, and the Internet.

[0078] A computing system can include clients and servers. Clients and servers are generally located far apart and typically interact through communication networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or cloud host, which is a hosting product within the cloud computing service system to address the shortcomings of traditional physical hosts and VPS servers, such as high management difficulty and weak business scalability.

[0079] This application also discloses a computer program product, which includes a computer program that, when executed by a processor, implements the material density monitoring method provided in any embodiment of this application. This program product shares the same inventive concept as the material density monitoring methods disclosed in the embodiments of this application, and therefore will not be described in detail here.

[0080] It should be understood that the various forms of processes shown above can be used, with steps reordered, added, or deleted. For example, the steps described in this invention can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this invention can be achieved, and this is not limited herein.

[0081] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.

Claims

1. A method for monitoring material density, characterized in that, include: The temperature of the material in the yarn-making pipeline and the density of the material to be corrected are obtained; based on the density of the material to be corrected, the temperature of the material in the yarn-making pipeline, and temperature compensation-related parameters, the density compensation value of the material is calculated; when the density of the material is determined to be abnormal based on the density compensation value and the density monitoring threshold, an early warning message is generated.

2. The method according to claim 1, characterized in that, Obtaining the material temperature and the material density to be corrected in the yarn-making pipeline includes: obtaining the material temperature in the yarn-making pipeline collected by a first mass flow meter, and the material density to be corrected; or, obtaining the material temperature in the yarn-making pipeline, and the material mass flow rate collected by a second mass flow meter; and calculating the material density to be corrected based on the material mass flow rate and the material volume flow rate.

3. The method according to claim 1, characterized in that, The material density compensation value is calculated based on the material density to be corrected, the material temperature in the yarn forming pipeline, and temperature compensation related parameters. This includes: calculating the difference between the material temperature in the yarn forming pipeline and the reference temperature in the temperature compensation related parameters to obtain the target temperature difference value; and calculating the material density compensation value based on the temperature coefficient in the temperature compensation related parameters, the target temperature difference value, and the material density to be corrected.

4. The method according to claim 1, characterized in that, Before calculating the material density compensation value based on the material density to be corrected, the material temperature in the yarn forming pipeline, and temperature compensation related parameters, the method further includes: obtaining the target material density measurement values ​​at different experimental temperatures; and calculating the temperature coefficient in the temperature compensation related parameters based on the target material density measurement values ​​at different experimental temperatures.

5. The method according to claim 1, characterized in that, When an abnormal material density is determined based on the material density compensation value and the density monitoring threshold, an early warning message is generated, including: when the material density compensation value is greater than a first density threshold in the density monitoring threshold, or less than a second density threshold in the density monitoring threshold, an abnormal material density is determined, a density abnormality early warning instruction is generated, and early warning event data is generated.

6. The method according to claim 1, characterized in that, After generating an early warning message when an abnormal material density is determined based on the material density compensation value and the density monitoring threshold, the process further includes: drawing a material density compensation trend chart based on the material density compensation value under the current time window; and generating a production adjustment plan based on process control technology and the material density compensation trend chart when an abnormal material density trend is determined based on the material density compensation trend chart.

7. The method according to claim 6, characterized in that, After plotting the material density compensation trend chart based on the material density compensation value under the current time window, the method further includes: when it is determined that there is an instrument acquisition error, calculating the sampling error value of the material density to be corrected; and updating the temperature compensation related parameters based on the sampling error value of the material density to be corrected.

8. An electronic device, characterized in that, The electronic device includes: at least one processor and a memory communicatively connected to the at least one processor; wherein the memory stores a computer program executable by the at least one processor, the computer program being executed by the at least one processor to enable the at least one processor to perform the material density monitoring method according to any one of claims 1-7.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions that cause a processor to execute the material density monitoring method according to any one of claims 1-7.

10. A computer program product, characterized in that, The computer program product includes a computer program that, when executed by a processor, implements the material density monitoring method according to any one of claims 1-7.

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