Abnormality monitoring method and device for fluidized weighing system

Abstract

The present invention relates to a method and device for monitoring abnormalities of a fluidized weighing system. First, it takes into account the conventional sensor-threshold detection method and is provided with a threshold value. When the threshold value is exceeded, an alarm will be issued to maintain the most basic operation. In addition, the correlation between the real-time material flow rate and the real-time feeding speed of the fluidized weighing system during operation is taken into account, and the two are analyzed and calculated. The reasonable change range of the real-time material flow rate is dynamically adjusted based on the real-time feeding speed, and the material flow rate is monitored based on the reasonable change range. The abnormality monitoring method of the fluidized weighing system proposed by the present invention has higher detection accuracy than the conventional sensor-threshold detection method, and can ensure the stable operation of the fluidized weighing system. In addition, since the relevant hardware modules of the abnormality monitoring device of the fluidized weighing system proposed by the present invention correspond to the abnormality monitoring method proposed by the present invention, it also has the above advantages.

Description

Technical Field

[0001] The present invention relates to the technical field of fluidized weighing, and in particular to an abnormality monitoring method and device for a fluidized weighing system. Background Art

[0002] Fluidized weighing systems feature intermittent feeding and continuous unloading. Because they implement weight loss control within the hopper, they achieve relatively high control accuracy. Furthermore, their effective sealing structure makes them suitable for controlling the batching of various powdered materials, such as battery powder, cement, lime powder, and coal powder.

[0003] Currently, fluidized bed weighing systems in the market today have standardized solutions for most operational processes, including preparation, material supply, recipe-based weighing, packaging and discharging, and data recording and analysis. However, process monitoring is often performed through the use of multiple sensors with simple threshold settings. While this approach can ensure stable operation of fluidized bed weighing systems to a certain extent, it lacks accuracy, resulting in poor monitoring results. Summary of the Invention

[0004] The purpose of the present invention is to solve at least one of the deficiencies of the prior art and to provide a method and device for monitoring abnormalities in a fluidized weighing system.

[0005] In order to achieve the above object, the present invention adopts the following technical solutions:

[0006] Specifically, a method for monitoring abnormalities in a fluidized weighing system is proposed, comprising:

[0007] Obtain multiple real-time material flow rates and real-time feeding speeds of the current fluidized weighing system within a preset period T;

[0008] Determine whether the real-time material flow rate has data outside the flow rate threshold range, and if so, issue a flow rate abnormality alarm; determine whether the real-time feeding speed has data outside the feeding speed threshold range, and if so, issue a feeding speed abnormality alarm;

[0009] Counting the data ratio M of the real-time material flow rate that is outside the flow rate stability range, and issuing a flow rate abnormality alarm if M is greater than a first threshold; counting the data ratio N of the real-time feeding speed that is outside the feeding speed stability range, and issuing a feeding speed abnormality alarm if N is greater than a second threshold;

[0010] The flow rate stability interval is included in the flow rate threshold interval, and the feeding speed stability interval is included in the feeding speed threshold interval;

[0011] Determine whether the multiple real-time feeding speeds of the fluidized weighing system within the preset period T show an increasing trend, and if so, continue to obtain the multiple real-time material flow rates and real-time feeding speeds of the fluidized weighing system within the next preset period T;

[0012] Calculate the first average material flow rate and the first average real-time feeding rate of the current preset period T, and the second average material flow rate and the second average real-time feeding rate of the next preset period T;

[0013] Calculating a real-time feeding speed change based on the first average real-time feeding speed and the second average real-time feeding speed, and determining a change range of the material flow rate based on the real-time feeding speed change;

[0014] The material flow rate change is calculated based on the first average material flow rate and the second average material flow rate, and it is determined whether the material flow rate change is within the change range. If not, an abnormal material flow rate change alarm is issued.

[0015] Further, specifically, determining whether multiple real-time feeding speeds of the fluidized weighing system within the preset period T show an increasing trend includes:

[0016] Arrange the multiple real-time feeding speeds of the fluidized weighing system in the preset period T in the order of acquisition time to form a first data set;

[0017] Comparing adjacent real-time feeding speeds in the first data set in sequence, when the real-time feeding speed obtained later is smaller than the real-time feeding speed obtained earlier, marking the real-time feeding speed obtained later as a discarded real-time feeding speed, and continuously obtaining the real-time feeding speed following the discarded real-time feeding speed and comparing it with the real-time feeding speed obtained earlier, and if the real-time feeding speed following the real-time feeding speed is still smaller than the real-time feeding speed obtained earlier, repeating the above operation until a real-time feeding speed greater than the real-time feeding speed obtained earlier appears;

[0018] Processing the first data set according to the above method, eliminating all discarded real-time feeding speeds and obtaining a second data set;

[0019] Count the number A of elements in the second data set and the number B of discarded real-time feeding speeds. If the value of A / B is greater than the third threshold, it is determined that the multiple real-time feeding speeds of the fluidized weighing system within the preset period T are in an increasing trend.

[0020] Further, specifically, calculating the real-time feeding speed change according to the first average real-time feeding speed and the second average real-time feeding speed, and determining the change range of the material flow rate according to the real-time feeding speed change include:

[0021] The first average real-time feeding speed is obtained by averaging the elements in the second data set, and the second average real-time feeding speed is obtained by processing the multiple real-time feeding speeds of the next preset period T according to the acquisition method of the first average real-time feeding speed corresponding to the current period T. The feeding speed difference V is obtained by subtracting the first average real-time feeding speed from the second average real-time feeding speed, and the change range of the material flow rate [aV, bV] is obtained based on the feeding speed difference V, where a and b are scaling coefficients, which are obtained by artificial setting.

[0022] Further, specifically, calculating the material flow rate change according to the first average material flow rate and the second average material flow rate, and determining whether the material flow rate change is within the change range includes:

[0023] Taking an average value of multiple real-time material flow rates obtained in the first preset period T to obtain a first average material flow rate;

[0024] Taking an average value of multiple real-time material flow rates obtained in the next preset period T to obtain a second average material flow rate;

[0025] Subtracting the first average material flow rate from the second average material flow rate to obtain a material flow rate difference;

[0026] Determine whether the material flow rate difference is within the interval [aV, bV];

[0027] If not, and the material flow rate change is greater than bV, then a material flow rate too fast alarm is issued; if not, and the material flow rate change is less than aV, then a material flow rate too slow alarm is issued.

[0028] The present invention also provides an abnormality monitoring device for a fluidized weighing system, comprising:

[0029] A data acquisition module is used to obtain multiple real-time material flow rates and real-time feeding speeds of the current fluidized weighing system within a preset period T;

[0030] The first alarm module is used to determine whether the real-time material flow rate has data outside the flow rate threshold range, and if so, to issue a flow rate abnormality alarm, and to determine whether the real-time feeding speed has data outside the feeding speed threshold range, and if so, to issue a feeding speed abnormality alarm;

[0031] The second alarm module is used to count the data ratio M of the real-time material flow rate that is outside the flow rate stability range, and to issue a flow rate abnormality alarm if M is greater than a first threshold value; count the data ratio N of the real-time feeding speed that is outside the feeding speed stability range, and to issue a feeding speed abnormality alarm if N is greater than a second threshold value;

[0032] The flow rate stability interval is included in the flow rate threshold interval, and the feeding speed stability interval is included in the feeding speed threshold interval;

[0033] A trend judgment module is used to judge whether the multiple real-time feeding speeds of the fluidized weighing system within the preset period T show an increasing trend, and if so, continue to obtain the multiple real-time material flow rates and real-time feeding speeds of the fluidized weighing system within the next preset period T;

[0034] A data calculation module is used to calculate the first average material flow rate and the first average real-time feeding speed of the current preset period T, and the second average material flow rate and the second average real-time feeding speed of the next preset period T;

[0035] a change interval calculation module, configured to calculate a real-time feeding speed change based on the first average real-time feeding speed and the second average real-time feeding speed, and determine a change interval of the material flow rate based on the real-time feeding speed change;

[0036] The third alarm module is used to calculate the material flow rate change based on the first average material flow rate and the second average material flow rate, and determine whether the material flow rate change is within the change range. If not, an abnormal material flow rate change alarm is issued.

[0037] The present invention also provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the abnormality monitoring method for a fluidized weighing system are implemented.

[0038] The beneficial effects of the present invention are:

[0039] The present invention proposes a method for monitoring abnormalities in a fluidized weighing system. First, the method takes into account the conventional sensor-threshold detection method and sets a threshold value. When the threshold value is exceeded, an alarm will be triggered to maintain the most basic operation. In addition, the method takes into account the correlation between the real-time material flow rate and the real-time feeding speed during the operation of the fluidized weighing system, analyzes and calculates the two, dynamically adjusts the reasonable variation range of the real-time material flow rate based on the real-time feeding speed, and monitors the material flow rate based on the reasonable variation range. The method for monitoring abnormalities in a fluidized weighing system proposed by the present invention has higher detection accuracy than the conventional sensor-threshold detection method and can ensure the stable operation of the fluidized weighing system. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] The above and other features of the present disclosure will become more apparent through a detailed description of the embodiments shown in conjunction with the accompanying drawings. The same reference numerals in the drawings of the present disclosure represent the same or similar elements. Obviously, the drawings described below are only some embodiments of the present disclosure. It is possible for a person skilled in the art to derive other drawings based on these drawings without inventive effort. In the drawings:

[0041] Figure 1 Shown is a flow chart of an abnormality monitoring method for a fluidized weighing system according to the present invention;

[0042] Figure 2 Shown is a structural principle diagram of the fluidized weighing system involved in the present invention.

[0043] Reference Figure 2 Generally speaking, the fluidized weighing system includes: 1. feed valve; 2. dust collector; 3. storage device; 4. fluidizer; 5. air inlet pipe; 6. air inlet valve; 7. weighing module; 8. gas storage chamber; 9. discharge valve. DETAILED DESCRIPTION

[0044] The following will be combined with the embodiments and drawings to clearly and completely describe the concept, specific structure and technical effects of the present invention so as to fully understand the purpose, scheme and effect of the present invention. It should be noted that the embodiments and features in the embodiments of this application can be combined with each other unless there is a conflict. The same reference numerals used throughout the drawings indicate the same or similar parts.

[0045] Generally, a fluidized weighing system is used to discharge flowable materials from a storage container through a controllable discharge component under specified conditions, and includes a feeding system, a fluidizing system, a weighing system, a discharging system and a central control system.

[0046] The feeding system mainly consists of a feed valve and a storage 3. The material enters the storage 3 from the feed valve.

[0047] The fluidization system consists of an air intake valve 6, an air intake pipeline 5, a gas storage chamber 8, a fluidizer 4 and a dust collector 2. When the air intake valve 6 is started, the gas enters the storage chamber through the air intake pipeline 5. The material is fluidized and has liquid properties through the fluidization device. The dust collector 2 filters the dust-containing air raised by the fluidization to achieve pressure balance in the storage device.

[0048] The weighing system is used to generate a weight signal representing the weight of the material discharged from the storage, and generally adopts a weighing module;

[0049] The discharging system consists of a discharging valve and a storage device 3. The discharging valve adjusts the discharging rate in real time according to the feedback from the weighing system.

[0050] The specific operation process is as follows:

[0051] 1. Preparation phase: Before operating the fluidized weighing system, the equipment needs to be prepared. This includes calibrating and checking each sensor, checking whether the equipment connection is normal, and ensuring that the operator is familiar with the equipment operating procedures and safety precautions.

[0052] 2. Material supply: In a fluidized weighing system, materials are usually supplied in the form of powder or granules. These materials can be taken out from the raw material storage container manually or automatically and conveyed to the material supply device in the weighing system.

[0053] 3. Weighing: During the weighing process, the equipment accurately measures the required materials according to the preset recipe and requirements. Typically, these materials pass through multiple weighing cells to ensure accuracy and stability. The weighing process may require adjustment and calibration depending on the different materials and requirements.

[0054] 4. Control and Monitoring: Control and monitoring are crucial steps in fluidized bed weighing systems. The equipment uses built-in sensors and control systems to monitor and control the material flow, weighing process, and equipment status. This ensures the accuracy and stability of the weighing process and allows for the timely detection and resolution of any anomalies.

[0055] 5. Packaging and Discharging: After the materials are weighed, they are conveyed to an appropriate packaging device, such as a bag packer or container. These devices seal and package the materials according to pre-set packaging specifications. Once packaged, the packaged materials can be removed and stored via a conveyor or other discharging mechanism.

[0056] 6. Cleaning and Maintenance: Fluidized weighing systems require cleaning and maintenance after use to ensure long-term, stable operation. This includes removing residual material, inspecting and replacing worn parts, and cleaning and disinfecting the equipment. Regular maintenance and servicing can extend the life of the equipment and ensure the accuracy and safety of the weighing process.

[0057] Fluidized weighing systems are typically equipped with a variety of sensors to monitor and measure various parameters, such as material flow rate, material mass, and material moisture content. These sensors can include weight sensors, flow sensors, temperature sensors, and moisture sensors. By monitoring these parameters in real time, it is possible to understand the material's status and process, allowing for appropriate control and adjustment.

[0058] Considering that the real-time material flow rate and the real-time feeding speed are very important physical quantities and are interrelated, if the feeding speed increases, the material flow rate will inevitably increase to a certain extent. Therefore, simply monitoring by sensors cannot meet the requirements of actual production. Figure 1 , Example 1, based on the above ideas, the present invention proposes a method for monitoring abnormalities in a fluidized weighing system, comprising:

[0059] Step 110: Acquire multiple real-time material flow rates and real-time feeding speeds of the current fluidized weighing system within a preset period T;

[0060] Step 120: Determine whether the real-time material flow rate has data outside the flow rate threshold range, and if so, issue a flow rate abnormality alarm; determine whether the real-time feeding speed has data outside the feeding speed threshold range, and if so, issue a feeding speed abnormality alarm;

[0061] Step 130: Count the data proportion M of the real-time material flow rate that is outside the flow rate stability range. If M is greater than a first threshold, a flow rate abnormality alarm is issued. Count the data proportion N of the real-time feeding speed that is outside the feeding speed stability range. If N is greater than a second threshold, a feeding speed abnormality alarm is issued.

[0062] The flow rate stability interval is included in the flow rate threshold interval, and the feeding speed stability interval is included in the feeding speed threshold interval;

[0063] Step 140: Determine whether the multiple real-time feeding speeds of the fluidized weighing system within the preset period T show an increasing trend. If so, continue to obtain the multiple real-time material flow rates and real-time feeding speeds of the fluidized weighing system within the next preset period T.

[0064] Step 150: Calculate the first average material flow rate and the first average real-time feeding rate of the current preset period T, and the second average material flow rate and the second average real-time feeding rate of the next preset period T;

[0065] Step 160: Calculate a real-time feeding speed change based on the first average real-time feeding speed and the second average real-time feeding speed, and determine a change range of the material flow rate based on the real-time feeding speed change;

[0066] Step 170: Calculate the material flow rate change based on the first average material flow rate and the second average material flow rate, and determine whether the material flow rate change is within the change range. If not, issue an abnormal material flow rate change alarm.

[0067] In this embodiment 1, firstly, the conventional sensor-threshold detection method is taken into account, and a threshold value is set. When the threshold value is exceeded, an alarm will be issued to maintain the most basic operation; in addition, considering the correlation between the real-time material flow rate and the real-time feeding speed during the operation of the fluidized weighing system, the two are analyzed and calculated, and the reasonable change range of the real-time material flow rate is dynamically adjusted based on the real-time feeding speed, and the material flow rate is monitored based on the reasonable change range. The abnormality monitoring method of the fluidized weighing system proposed by the present invention has higher detection accuracy than the conventional sensor-threshold detection method, and can ensure the stable operation of the fluidized weighing system.

[0068] As a preferred embodiment of the present invention, specifically, determining whether multiple real-time feeding speeds of the fluidized weighing system within the preset period T show an increasing trend includes:

[0069] Arrange the multiple real-time feeding speeds of the fluidized weighing system in the preset period T in the order of acquisition time to form a first data set;

[0070] Comparing adjacent real-time feeding speeds in the first data set in sequence, when the real-time feeding speed obtained later is smaller than the real-time feeding speed obtained earlier, marking the real-time feeding speed obtained later as a discarded real-time feeding speed, and continuously obtaining the real-time feeding speed following the discarded real-time feeding speed and comparing it with the real-time feeding speed obtained earlier, and if the real-time feeding speed following the real-time feeding speed is still smaller than the real-time feeding speed obtained earlier, repeating the above operation until a real-time feeding speed greater than the real-time feeding speed obtained earlier appears;

[0071] Processing the first data set according to the above method, eliminating all discarded real-time feeding speeds and obtaining a second data set;

[0072] Count the number A of elements in the second data set and the number B of discarded real-time feeding speeds. If the value of A / B is greater than the third threshold, it is determined that the multiple real-time feeding speeds of the fluidized weighing system within the preset period T are in an increasing trend.

[0073] In this preferred embodiment, the real-time feeding speed is judged to be increasing in the above-mentioned manner, and the real-time feeding speed can be accurately judged. This method has higher detection accuracy than the conventional sensor-threshold detection method, and can ensure the stable operation of the fluidized weighing system.

[0074] As a preferred embodiment of the present invention, specifically, calculating the real-time feeding speed change based on the first average real-time feeding speed and the second average real-time feeding speed, and determining the change range of the material flow rate based on the real-time feeding speed change include:

[0075] The first average real-time feeding speed is obtained by averaging the elements in the second data set, and the second average real-time feeding speed is obtained by processing the multiple real-time feeding speeds of the next preset period T according to the acquisition method of the first average real-time feeding speed corresponding to the current period T. The feeding speed difference V is obtained by subtracting the first average real-time feeding speed from the second average real-time feeding speed, and the change range of the material flow rate [aV, bV] is obtained based on the feeding speed difference V, where a and b are scaling coefficients, which are obtained by artificial setting.

[0076] In this preferred embodiment, considering that the real-time material flow rate and the real-time feeding speed are very important physical quantities and are interrelated, if the feeding speed increases, the material flow rate will inevitably increase to a certain extent. Therefore, simply monitoring by sensors cannot meet the requirements of actual production. Therefore, through the above method, the feeding speed difference V is used to obtain the material flow rate change range [aV, bV], with a<b.

[0077] As a preferred embodiment of the present invention, specifically, calculating the material flow rate change based on the first average material flow rate and the second average material flow rate, and determining whether the material flow rate change is within the change range, includes:

[0078] Taking an average value of multiple real-time material flow rates obtained in the first preset period T to obtain a first average material flow rate;

[0079] Taking an average value of multiple real-time material flow rates obtained in the next preset period T to obtain a second average material flow rate;

[0080] Subtracting the first average material flow rate from the second average material flow rate to obtain a material flow rate difference;

[0081] Determine whether the material flow rate difference is within the interval [aV, bV];

[0082] If not, and the material flow rate change is greater than bV, then a material flow rate too fast alarm is issued; if not, and the material flow rate change is less than aV, then a material flow rate too slow alarm is issued.

[0083] The present invention also provides an abnormality monitoring device for a fluidized weighing system, comprising:

[0084] A data acquisition module is used to obtain multiple real-time material flow rates and real-time feeding speeds of the current fluidized weighing system within a preset period T;

[0085] The first alarm module is used to determine whether the real-time material flow rate has data outside the flow rate threshold range, and if so, to issue a flow rate abnormality alarm, and to determine whether the real-time feeding speed has data outside the feeding speed threshold range, and if so, to issue a feeding speed abnormality alarm;

[0086] The second alarm module is used to count the data ratio M of the real-time material flow rate that is outside the flow rate stability range, and to issue a flow rate abnormality alarm if M is greater than a first threshold value; count the data ratio N of the real-time feeding speed that is outside the feeding speed stability range, and to issue a feeding speed abnormality alarm if N is greater than a second threshold value;

[0087] The flow rate stability interval is included in the flow rate threshold interval, and the feeding speed stability interval is included in the feeding speed threshold interval;

[0088] A trend judgment module is used to judge whether the multiple real-time feeding speeds of the fluidized weighing system within the preset period T show an increasing trend, and if so, continue to obtain the multiple real-time material flow rates and real-time feeding speeds of the fluidized weighing system within the next preset period T;

[0089] A data calculation module is used to calculate the first average material flow rate and the first average real-time feeding speed of the current preset period T, and the second average material flow rate and the second average real-time feeding speed of the next preset period T;

[0090] a change interval calculation module, configured to calculate a real-time feeding speed change based on the first average real-time feeding speed and the second average real-time feeding speed, and determine a change interval of the material flow rate based on the real-time feeding speed change;

[0091] The third alarm module is used to calculate the material flow rate change based on the first average material flow rate and the second average material flow rate, and determine whether the material flow rate change is within the change range. If not, an abnormal material flow rate change alarm is issued.

[0092] Specifically, the abnormality monitoring device can be applied to the following fluidized weighing system, which is used to discharge flowable materials from a storage device through a controllable discharge component under specified conditions, including a feeding system, a fluidized system, a weighing system, a discharge system, and a central control system.

[0093] The feeding system mainly consists of a feed valve and a storage device. The material enters the storage device through the feed valve.

[0094] The fluidization system consists of an air intake valve, an air intake pipeline, a gas storage chamber, a fluidizer and a dust collector. When the air intake valve is activated, the gas enters the storage chamber through the air intake pipeline. The fluidization device fluidizes the material into liquid properties. The dust collector filters the dust-containing air raised by the fluidization to achieve pressure balance in the storage device.

[0095] The weighing system is used to generate a weight signal representing the weight of the material discharged from the storage, and generally adopts a weighing module;

[0096] The discharging system consists of a discharging valve and a storage device. The discharging valve adjusts the discharging rate in real time according to the feedback from the weighing system.

[0097] After application, the fluidized weighing system has the following advantages:

[0098] 1. No moving mechanical equipment to prevent the mixing of metal foreign matter;

[0099] 2. Feeding is done by gravity, without energy consumption;

[0100] 3. Accurately control the amount of material fed;

[0101] 4. No residue, easy to clean;

[0102] 5. Reasonable design, easy processing, easy installation, no maintenance required and low cost.

[0103] It has the following characteristics,

[0104] 1. The fluidized weighing system consists of a feeding system, a fluidized system, a weighing system, a discharging system, and a central control system.

[0105] composition;

[0106] 2. Application industries include but are not limited to the lithium battery industry and other industries that use fluidization technology for batch metering;

[0107] 3. The fluidization methods of the fluidization system include but are not limited to the use of porous plates, fluidization cloths, air caps, etc.;

[0108] 4. Weighing system includes but is not limited to scales, weighing sensors, etc.;

[0109] 5. Discharge valves include but are not limited to butterfly valves, ball valves, knife gate valves, etc.

[0110] The present invention also provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the abnormality monitoring method for a fluidized weighing system are implemented.

[0111] In addition, the functional modules in various embodiments of the present invention may be integrated into a single processing module, or each module may exist physically separately, or two or more modules may be integrated into a single module. The aforementioned integrated modules may be implemented in the form of hardware or software functional modules.

[0112] If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present invention implements all or part of the process in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may include: any entity or system that can carry the computer program code, recording medium, U disk, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electrical carrier signal, telecommunication signal and software distribution medium, etc.

[0113] Although the present invention has been described in considerable detail and with particularity with respect to several described embodiments, it is not intended to be limited to any of these details or embodiments or any particular embodiment, but rather should be construed as providing a broad possible interpretation of these claims in view of the prior art by reference to the appended claims, thereby effectively encompassing the intended scope of the invention. In addition, the invention has been described above in terms of embodiments foreseen by the inventors for the purpose of providing a useful description, and those insubstantial modifications of the invention that are not currently foreseen may still represent equivalent modifications of the invention.

[0114] The above description is merely a preferred embodiment of the present invention. The present invention is not limited to the above-described embodiments. As long as the technical effects of the present invention are achieved by the same means, they shall fall within the scope of protection of the present invention. Within the scope of protection of the present invention, various modifications and variations of the technical solutions and / or implementation methods may be made.

Claims

1. A method for monitoring abnormalities in a fluidized weighing system, characterized in that: include: Obtain multiple real-time material flow rates and real-time feeding speeds of the current fluidized weighing system within a preset period T; Determine whether the real-time material flow rate has data outside the flow rate threshold range, and if so, issue a flow rate abnormality alarm; determine whether the real-time feeding speed has data outside the feeding speed threshold range, and if so, issue a feeding speed abnormality alarm; Counting the data ratio M of the real-time material flow rate that is outside the flow rate stability range, and issuing a flow rate abnormality alarm if M is greater than a first threshold; counting the data ratio N of the real-time feeding speed that is outside the feeding speed stability range, and issuing a feeding speed abnormality alarm if N is greater than a second threshold; The flow rate stability interval is included in the flow rate threshold interval, and the feeding speed stability interval is included in the feeding speed threshold interval; Determine whether the multiple real-time feeding speeds of the fluidized weighing system within the preset period T show an increasing trend, and if so, continue to obtain the multiple real-time material flow rates and real-time feeding speeds of the fluidized weighing system within the next preset period T; Calculate the first average material flow rate and the first average real-time feeding rate of the current preset period T, and the second average material flow rate and the second average real-time feeding rate of the next preset period T; Calculating a real-time feeding speed change based on the first average real-time feeding speed and the second average real-time feeding speed, and determining a change range of the material flow rate based on the real-time feeding speed change; Calculating a material flow rate change based on the first average material flow rate and the second average material flow rate, determining whether the material flow rate change is within the change range, and if not, issuing an abnormal material flow rate change alarm; The step of determining whether the multiple real-time feeding speeds of the fluidized weighing system within the preset period T show an increasing trend includes: Arrange the multiple real-time feeding speeds of the fluidized weighing system in the preset period T in the order of acquisition time to form a first data set; Comparing adjacent real-time feeding speeds in the first data set in sequence, when the real-time feeding speed obtained later is smaller than the real-time feeding speed obtained earlier, marking the real-time feeding speed obtained later as a discarded real-time feeding speed, and continuously obtaining the real-time feeding speed following the discarded real-time feeding speed and comparing it with the real-time feeding speed obtained earlier, and if the real-time feeding speed following the real-time feeding speed is still smaller than the real-time feeding speed obtained earlier, repeating the above operation until a real-time feeding speed greater than the real-time feeding speed obtained earlier appears; Processing the first data set, eliminating all discarded real-time feeding speeds and obtaining a second data set; Count the number A of elements in the second data set and the number B of discarded real-time feeding speeds. If the value of A / B is greater than the third threshold, it is determined that the multiple real-time feeding speeds of the fluidized weighing system within the preset period T are in an increasing trend.

2. The abnormality monitoring method of a fluidized weighing system according to claim 1, characterized in that: Specifically, the real-time feeding speed change is calculated based on the first average real-time feeding speed and the second average real-time feeding speed, and the change range of the material flow rate is determined based on the real-time feeding speed change, including: The first average real-time feeding speed is obtained by averaging the elements in the second data set, and the second average real-time feeding speed is obtained by processing the multiple real-time feeding speeds of the next preset period T according to the acquisition method of the first average real-time feeding speed corresponding to the current period T. The feeding speed difference V is obtained by subtracting the first average real-time feeding speed from the second average real-time feeding speed, and the change range of the material flow rate [aV, bV] is obtained based on the feeding speed difference V, where a and b are scaling coefficients, which are obtained by artificial setting.

3. The abnormality monitoring method of a fluidized weighing system according to claim 2, characterized in that: Specifically, calculating the material flow rate change according to the first average material flow rate and the second average material flow rate, and determining whether the material flow rate change is within the change range includes: Taking an average value of multiple real-time material flow rates obtained in the first preset period T to obtain a first average material flow rate; Taking an average value of multiple real-time material flow rates obtained in the next preset period T to obtain a second average material flow rate; Subtracting the first average material flow rate from the second average material flow rate to obtain a material flow rate change; Determine whether the material flow rate change is within the interval [aV, bV]; If not, and the material flow rate change is greater than bV, then a material flow rate too fast alarm is issued; if not, and the material flow rate change is less than aV, then a material flow rate too slow alarm is issued.

4. An abnormality monitoring device for a fluidized weighing system, characterized in that: include: A data acquisition module is used to obtain multiple real-time material flow rates and real-time feeding speeds of the current fluidized weighing system within a preset period T; The first alarm module is used to determine whether the real-time material flow rate has data outside the flow rate threshold range, and if so, to issue a flow rate abnormality alarm, and to determine whether the real-time feeding speed has data outside the feeding speed threshold range, and if so, to issue a feeding speed abnormality alarm; The second alarm module is used to count the data ratio M of the real-time material flow rate that is outside the flow rate stability range, and to issue a flow rate abnormality alarm if M is greater than a first threshold value; count the data ratio N of the real-time feeding speed that is outside the feeding speed stability range, and to issue a feeding speed abnormality alarm if N is greater than a second threshold value; The flow rate stability interval is included in the flow rate threshold interval, and the feeding speed stability interval is included in the feeding speed threshold interval; A trend judgment module is used to judge whether the multiple real-time feeding speeds of the fluidized weighing system within the preset period T show an increasing trend, and if so, continue to obtain the multiple real-time material flow rates and real-time feeding speeds of the fluidized weighing system within the next preset period T; A data calculation module is used to calculate the first average material flow rate and the first average real-time feeding speed of the current preset period T, and the second average material flow rate and the second average real-time feeding speed of the next preset period T; a change interval calculation module, configured to calculate a real-time feeding speed change based on the first average real-time feeding speed and the second average real-time feeding speed, and determine a change interval of the material flow rate based on the real-time feeding speed change; a third alarm module, configured to calculate a material flow rate change based on the first average material flow rate and the second average material flow rate, determine whether the material flow rate change is within the change range, and if not, generate an alarm for abnormal material flow rate change; a trend determination module, configured to arrange the multiple real-time feeding speeds of the fluidized weighing system in the preset period T in the order of acquisition time to form a first data set; Compare adjacent real-time feeding speeds in the first data set in turn. When the real-time feeding speed obtained later is smaller than the value of the real-time feeding speed obtained earlier, mark the real-time feeding speed obtained later as the discarded real-time feeding speed, and continue to take the real-time feeding speed after the discarded real-time feeding speed and compare it with the real-time feeding speed obtained earlier. If the real-time feeding speed after the discarded real-time feeding speed is still smaller than the value of the real-time feeding speed obtained earlier, repeat the above operation until a real-time feeding speed greater than the value of the real-time feeding speed obtained earlier appears; process the first data set, eliminate all discarded real-time feeding speeds and obtain a second data set; count the number A of elements in the second data set and the number B of discarded real-time feeding speeds. If the value of A / B is greater than the third threshold, it is determined that the multiple real-time feeding speeds of the fluidized weighing system within the preset period T are on an increasing trend.

5. A computer-readable storage medium storing a computer program, wherein: When the computer program is executed by a processor, the steps of the abnormality monitoring method for a fluidized weighing system as described in any one of claims 1 to 3 are implemented.

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