An intelligent replacement reminder method, device and electronic equipment for a dust removal cloth bag

Abstract

The present invention discloses an intelligent replacement reminder method, device and electronic device for a dust removal cloth bag. The method includes: whenever a dust removal instruction is received, obtaining the current pressure value inside the box body of the bag filter; determining the previous production information corresponding to the dust removal instruction, and calculating the estimated pressure value at the target dust removal end time based on the previous production information and the current pressure value; detecting the actual pressure value inside the box body of the bag filter at the target dust removal end time, and updating the target pressure value based on the difference between the actual pressure value and the estimated pressure value; when the real-time pressure value inside the box body of the bag filter is not less than the target pressure value, generating a replacement reminder message. The present invention realizes that when it is judged that the dust removal cloth bag is severely damaged or the ash layer accumulates more, a replacement reminder message can be generated in time to remind the staff to replace it, reducing the loss of the cloth bag, ensuring the dust removal efficiency of the cloth bag during work and the reliability of the dust removal work of the bag filter.

Description

Technical Field

[0001] The present application relates to the technical field of automatic control, and more specifically, to an intelligent replacement reminder method, device, and electronic device for a dust removal cloth bag. Background Art

[0002] During the production and smelting of minerals such as steelmaking, a large amount of dust is generated. Directly discharging the production waste gas into the air will cause serious pollution. Therefore, dust removal is required before discharge. Currently, a bag filter is generally used to implement the dust removal process, and a cloth bag made of woven filter cloth or non-woven felt is provided inside. When the air containing dust is sent into the box body of the dust collector through the air inlet pipe, the air containing dust passes through the cloth bag. Dust with large particles and high specific gravity settles down due to the action of gravity and falls into the ash hopper. When the gas containing finer dust passes through the filter material, the dust is retained, and finally the purification of the gas is achieved.

[0003] During the continuous dust removal work of the bag filter, an ash layer will accumulate inside the cloth bag. An overly thick ash layer will affect the dust removal effect and efficiency of the cloth bag. Therefore, the cloth bag needs to be replaced after a certain amount of ash layer has accumulated. Currently, the cloth bags are generally replaced once every fixed time period. However, due to different daily production plans, the ash layers accumulated by the cloth bags within a unit cycle are different. In most cases, the replacement method with a fixed time period replaces the cloth bags either too early or too late. Premature replacement will lead to frequent cleaning of the cloth bags, and late replacement will result in too much ash layer inside the cloth bags and large pressure being borne for a long time. Both will increase the loss of the cloth bags, affect the dust removal efficiency of the cloth bags, and ultimately affect the reliability of the dust removal work of the bag filter. Summary of the Invention

[0004] To solve the above problems, the embodiments of the present application provide an intelligent replacement reminder method, device, and electronic device for a dust removal cloth bag. This method can timely generate replacement reminder information to remind the staff to replace, reduce the loss of the cloth bag, and ensure the dust removal efficiency of the cloth bag during work and the reliability of the dust removal work of the bag filter.

[0005] To achieve the above technical purpose, the present invention provides an intelligent replacement reminder method for a dust removal cloth bag, characterized in that the method includes the following steps:

[0006] S1: Whenever a dust removal instruction is received, obtain the current pressure value inside the box body of the bag filter;

[0007] S2: Determine the previous production information corresponding to the dust removal instruction, and calculate the estimated pressure value at the target dust removal end time based on the previous production information and the current pressure value, where the target dust removal end time is determined based on the previous production information;

[0008] S3: Detect the actual pressure value inside the bag filter housing at the target dust removal end time, and update the target pressure value based on the difference between the actual pressure value and the estimated pressure value;

[0009] S4: When the real-time pressure value inside the bag filter housing is not less than the target pressure value,

[0010] Generate a replacement reminder message.

[0011] A preferred technical solution of the present invention: The estimated pressure value at the target dust removal end time in step S2 is calculated through a preset first standard database, and the first standard database stores the mapping relationship between the previous production information of the dust removal bag in a brand-new state and the standard dust removal duration;

[0012] The specific calculation process is: First, query the preset first standard database based on the previous production information to obtain the standard dust removal duration, and determine the time when the dust removal work is completed at the normal dust removal rate of the dust removal bag based on the standard dust removal duration, that is, the target dust removal end time. The target dust removal end time is the start time of the dust removal work plus the standard dust removal duration; Estimate the waste gas volume generated in the previous process based on the previous production information, and combine the current pressure value to estimate the change in the pressure inside the housing after treatment to obtain the estimated pressure value at the target dust removal end time;

[0013] The data stored in the first standard database is obtained by directly measuring the standard dust removal duration spent when using a brand-new dust removal bag in the early stage to remove dust from the waste gas generated in different previous processes, and constructing the mapping relationship between the two through the measured data; Or it is constructed through a BP neural network model; When constructing through a BP neural network model, first obtain a small amount of historical measurement data, train the BP neural network model based on these historical measurement data, and then simulate and predict a large number of quantities through the trained model, and construct a standard database with these predicted data.

[0014] A preferred technical solution of the present invention: The estimated pressure value at the target dust removal end time in step S2 is calculated through a preset second standard database, and the second standard database stores the mapping relationship between the previous production information of the dust removal bag in a brand-new state and the standard dust removal increased pressure; The calculation process is: Query the preset second standard database based on the previous production information to obtain the standard dust removal increased pressure, and calculate the sum of the standard dust removal increased pressure and the current pressure value to obtain the estimated pressure value at the target dust removal end time;

[0015] The data stored in the second standard database is the pressure change value inside the box measured after using a brand-new dust removal bag to remove dust from the waste gas generated in different previous processes through direct measurement, that is, the standard dust removal growth pressure, and the mapping relationship between the two is constructed through the measured data; or it is constructed through a BP neural network model; when constructing through a BP neural network model, first obtain a small amount of historical measurement data, train the BP neural network model based on these historical measurement data, and then simulate and predict a large number of quantities through the trained model, and construct a standard database with these predicted data.

[0016] A preferred technical solution of the present invention: The process of updating the target pressure value based on the difference between the actual pressure value and the estimated pressure value in the S3 step is as follows: First, calculate the difference between the actual pressure value and the estimated pressure value to obtain a pressure difference value; then query a preset third standard database based on the pressure difference value to obtain a reminder pressure value, and replace the target pressure value according to the reminder pressure value; wherein, the third standard database stores the mapping relationship between the pressure difference value and the reminder pressure value, and the values of the pressure difference value and the reminder pressure value are negatively correlated.

[0017] A preferred technical solution of the present invention: After the S3 step updates the target pressure value based on the difference between the actual pressure value and the estimated pressure value, it further includes: detecting the waste gas inlet speed at the inlet of the bag filter, generating a pressure adjustment parameter based on the waste gas inlet speed, and optimizing the target pressure value based on the pressure adjustment parameter.

[0018] A further technical solution of the present invention: When there is no target pressure value, use the reminder pressure value as the target pressure value; when there is a target pressure value, update the target pressure value based on the reminder pressure value.

[0019] In order to achieve the above technical purpose, the present invention also provides an intelligent replacement reminder device for a dust removal bag, characterized in that the reminder device includes a receiving module, a determining module, a detecting module, and a reminder module that are communicatively connected in sequence;

[0020] The receiving module is used to obtain the current pressure value inside the box of the bag filter when receiving a dust removal instruction, and transmit the obtained current pressure value to the determining module;

[0021] The determining module is used to determine the previous production information corresponding to the dust removal instruction, calculate the estimated pressure value at the target dust removal end time based on the previous production information and the current pressure value, and transmit the calculated estimated pressure value to the detecting module; the target dust removal end time is determined based on the previous production information;

[0022] The detection module is used to detect the actual pressure value inside the bag filter housing at the end moment of the target dust removal, update the target pressure value based on the difference between the actual pressure value and the estimated pressure value, and transmit the target pressure value to the reminder module;

[0023] The reminder module is used to generate a replacement reminder message when the real-time pressure value inside the bag filter housing is not less than the target pressure value.

[0024] A further technical solution of the present invention: The device further includes an optimization module that is bidirectionally communicatively connected to the reminder module; the optimization module is used to detect the waste gas introduction speed at the inlet of the bag filter, generate a pressure adjustment parameter based on the waste gas introduction speed, optimize the target pressure value based on the pressure adjustment parameter, and transmit it to the reminder module to generate a replacement reminder message.

[0025] A preferred technical solution of the present invention: The receiving module is the controller of the bag filter. The actual pressure inside the housing is detected by a pressure sensor arranged inside the bag filter housing and transmitted to the controller of the bag filter housing; after receiving the dust removal instruction, in addition to starting normal work, the controller will also obtain the current air pressure value inside the housing, that is, the current pressure value;

[0026] The receiving template includes a first determination unit, a first query unit, and a first calculation unit that are communicatively connected in sequence; the first determination unit is used to determine the previous production information corresponding to the dust removal instruction; the first query unit is used to query a preset first standard database based on the previous production information to obtain the standard dust removal duration, and determine the target dust removal end moment based on the standard dust removal duration. The first standard database stores the mapping relationship between the previous production information and the standard dust removal duration when the dust removal bag is in a brand-new state; the first calculation unit is used to calculate the estimated pressure value at the target dust removal end moment based on the previous production information and the current pressure value;

[0027] The detection module includes a second calculation unit, a second query unit, and an update unit; the second calculation unit is used to calculate the difference between the actual pressure value and the estimated pressure value to obtain a pressure difference value; the second query unit is used to query a preset third standard database based on the pressure difference value to obtain a reminder pressure value. The third standard database stores the mapping relationship between the pressure difference value and the reminder pressure value, and the numerical values of the pressure difference value and the reminder pressure value are negatively correlated; the update unit is used to update the target pressure value based on the reminder pressure value. The update unit includes a first judgment element and a second judgment element. The first judgment element is used to use the reminder pressure value as the target pressure value when there is no target pressure value; the second judgment element is used to update the target pressure value based on the reminder pressure value when there is a target pressure value.

[0028] The present invention also provides an intelligent replacement reminder electronic device for a dust removal cloth bag, including a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein: when the processor executes the computer program, the steps of the method according to any one of claims 1-6 are implemented.

[0029] The present invention also provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the method provided by the first aspect or any possible implementation manner of the first aspect is implemented.

[0030] The beneficial effects of the present invention are as follows: By real-time detecting and calculating the internal pressure value of the box body of the bag filter, the loss situation or working state of the dust removal cloth bag is judged. Furthermore, when it is judged that the loss of the dust removal cloth bag is relatively serious or the ash layer accumulation is relatively large, a replacement reminder message can be generated in time to remind the staff to replace it, reducing the loss of the cloth bag and ensuring the dust removal efficiency of the cloth bag during work and the reliability of the dust removal work of the bag filter. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 It is a schematic flow chart of the intelligent replacement reminder method for the dust removal cloth bag in the present invention;

[0032] Figure 2 It is a structural block diagram of the intelligent replacement reminder device for the dust removal cloth bag in the present invention;

[0033] Figure 3 It is a structural block diagram of the intelligent replacement reminder electronic device for the dust removal cloth bag in the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0034] Next, the technical solutions in the embodiments of the present application will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present application.

[0035] In the following description, the terms "first" and "second" are only for the purpose of description and cannot be understood as indicating or implying relative importance. The following description provides multiple embodiments of the present application, and different embodiments can be replaced or combined. Therefore, the present application can also be considered to include all possible combinations of the same and / or different embodiments described. Thus, if one embodiment includes features A, B, and C, and another embodiment includes features B and D, then the present application should also be considered to include embodiments containing all other possible combinations of A, B, C, and D, even though such an embodiment may not be explicitly described in the following content.

[0036] The following description provides examples and does not limit the scope, applicability, or examples set forth in the claims. Changes may be made to the function and arrangement of the elements described without departing from the scope of the present application. Various processes or components may be appropriately omitted, substituted, or added to each example. For example, the methods described may be performed in a different order than described, and various steps may be added, omitted, or combined. In addition, features described for some examples may be combined into other examples.

[0037] Embodiment 1 provides an intelligent replacement reminder method for a dust removal cloth bag, and its specific process is as Figure 1 shown, and specifically includes the following steps:

[0038] S1. Whenever a dust removal instruction is received, obtain the current pressure value inside the box body of the bag filter; the execution subject of this step can be the controller corresponding to the bag filter.

[0039] In the embodiment of the present application, whenever there is production waste gas that needs to pass through the bag filter for the dust removal process, the cloud server will generate a dust removal instruction and send it to the controller, so that the controller controls the bag filter to work. After receiving the dust removal instruction, in addition to normally starting to work, the controller will also obtain the current air pressure value inside the box body, that is, the current pressure value, in order to judge the state of the dust removal cloth bag during the subsequent work process. The detection of the current pressure value can be realized by a pressure sensor arranged inside the box body.

[0040] S2. Determine the previous production information corresponding to the dust removal instruction, and calculate the estimated pressure value at the target dust removal end time based on the previous production information and the current pressure value, and the target dust removal end time is determined based on the previous production information.

[0041] In the embodiment of the present application, each dust removal instruction of the cloud server is generated in real time according to the current production status of the production system. Therefore, the controller can query the corresponding previous production information through the dust removal instruction. The previous production information indicates the production processes that the upcoming waste gas has passed through in the previous production process. Through this previous production information, the waste gas volume generated in the previous process can be estimated. That is to say, according to the previous production information, it can be known which production processes have been carried out before, and the waste gas volume generated in each production link can be known through historical data. In this way, the total waste gas volume entering the dust removal can be estimated; furthermore, combined with the current pressure value, the change in the pressure inside the box after processing is estimated to obtain the estimated pressure value. Among them, the target dust removal end time refers to the time when the dust removal cloth bag completes the dust removal work at the normal dust removal rate.

[0042] S3. Detect the actual pressure value inside the bag filter housing at the end of the target dust removal, and update the target pressure value based on the difference between the actual pressure value and the estimated pressure value. Specifically, first calculate the difference between the actual pressure value and the estimated pressure value to obtain a pressure difference value; query a preset third standard database based on the pressure difference value to obtain a reminder pressure value. The third standard database stores the mapping relationship between the pressure difference value and the reminder pressure value, and the numerical values of the pressure difference value and the reminder pressure value are negatively correlated; update the target pressure value based on the reminder pressure value; when there is no target pressure value, use the reminder pressure value as the target pressure value; when there is a target pressure value, update the target pressure value based on the reminder pressure value.

[0043] In the embodiment of the present application, in addition to the estimated pressure value, the controller also detects the actual pressure value inside the housing at the end of the target dust removal. If the dust removal bag is worn due to long-term use, causing blockage in the filtering part, or if the dust removal bag has accumulated too thick a layer of ash due to not being cleaned for too long, the dust removal efficiency of the dust removal bag will decrease, and thus the pressure accumulated inside the housing will become greater. Therefore, the controller will calculate the difference between the actual pressure value and the estimated pressure value. The larger this difference is, the more serious the wear or accumulated ash layer of the dust removal bag is, and it needs to be replaced earlier. Therefore, the controller will update and adjust the pressure value for replacement reminder, that is, the size of the target pressure value, according to the specific value of the difference, so as to adaptively adjust the target pressure value for replacement reminder according to the actual situation of the dust removal bag, so that each dust removal bag will not be replaced too early or too late, extending the service life of the dust removal bag, and ensuring the dust removal efficiency of the dust removal bag and the reliability of the operation of the bag filter.

[0044] In the embodiment of the present application, the preset third standard database stores reminder pressure values set according to manual experience for different pressure difference values in advance, and a mapping relationship between the two is constructed. By querying the third standard database with the pressure difference value, the corresponding reminder pressure value can be obtained. The larger the pressure difference value is, the lower the dust removal efficiency of the dust removal bag is compared with the expectation. Although considering actual situations such as cost, the dust removal bag will not be directly discarded just because its dust removal efficiency deteriorates slightly, but in order to extend the service life of the bag and ensure the overall dust removal reliability of the equipment, it should be replaced after working for a shorter time than a normal dust removal bag, so as to avoid accelerating wear due to continuous long-term operation or causing blockage due to accumulated too thick a layer of ash. Therefore, the corresponding reminder pressure value is lower.

[0045] In the embodiment of the present application, when there is no target pressure value yet, the reminder pressure value will be directly used as the target pressure value. If there was a target pressure value before, the target pressure value will be updated with the reminder pressure value, so that the target pressure value is consistent with the reminder pressure value determined last time.

[0046] S4. When the real-time pressure value inside the bag filter housing is not less than the target pressure value, generate a replacement reminder message. When it is detected that the real-time pressure value rises to not less than the target pressure value, it is considered that the load of the current dust removal bag has reached saturation and needs to be replaced. The controller will generate a replacement reminder message and send it to the mobile phone or computer terminal of the corresponding staff member to remind the staff member to go for the replacement work.

[0047] The S2 step in the first embodiment includes: determining the previous production information corresponding to the dust removal instruction;

[0048] Query a preset first standard database based on the previous production information to obtain the standard dust removal duration, and determine the target dust removal end time based on the standard dust removal duration. The target dust removal end time is the start time of the dust removal work plus the standard dust removal duration; the first standard database stores the mapping relationship between the previous production information and the standard dust removal duration of the dust removal bag in a brand-new state.

[0049] Calculate the estimated pressure value at the target dust removal end time based on the previous production information and the current pressure value. The purpose of the S2 step is to compare the actual pressure value with the estimated pressure value. If the dust bag is normal, the two values are similar. If the dust bag is abnormal, its dust removal efficiency will decrease. However, since the waste gas is still continuously entering, with a lower dust removal efficiency, the pressure inside the housing will accumulate and rise more, making the difference between the two data obvious. The target dust removal end time is to determine a time to obtain the actual pressure value, ensuring that the actual pressure value and the estimated pressure value correspond to the same moment, so as to ensure the validity of the comparison result.

[0050] In the first embodiment, a first standard database is preset, which stores the standard dust removal duration measured during the dust removal work of the waste gas generated by different previous processes using a brand-new dust removal bag, and a mapping relationship between the two is constructed. By querying the first standard database with the previous production information, the corresponding standard dust removal duration can be obtained, and then the target dust removal end time can be determined. Then, calculate the estimated pressure value at the target dust removal end time based on the previous production information and the current pressure value. Among them, the determination of the target dust removal end time is to facilitate subsequent determination of which moment's actual pressure value is used for the comparison of the pressure difference.

[0051] The second embodiment provides an intelligent replacement reminder method for a dust removal bag. Its S1, S3, and S4 steps are the same. In the S2 step, calculate the estimated pressure value at the target dust removal end time based on the previous production information and the current pressure value. The specific steps include:

[0052] Query a preset second standard database based on the foregoing production information to obtain a standard dust removal growth pressure. The second standard database stores the mapping relationship between the foregoing production information and the standard dust removal growth pressure of the dust removal bag in a brand-new state.

[0053] Calculate the sum of the standard dust removal growth pressure and the current pressure value to obtain the estimated pressure value at the target dust removal end moment.

[0054] In the second embodiment, a second standard database is also preset in advance, which stores the pressure change values inside the box measured after using a brand-new dust removal bag to remove dust from the waste gas generated by different pre-processes, that is, the standard dust removal growth pressure, and a mapping relationship between the two is constructed. By querying the second standard database with the foregoing production information, the corresponding standard dust removal growth pressure can be obtained. The sum of the standard dust removal growth pressure and the current pressure value is the estimated pressure value.

[0055] In the second embodiment, in order to achieve a more optimized solution, after step S3, the waste gas introduction speed at the inlet of the bag filter can also be detected, a pressure adjustment parameter is generated based on the waste gas introduction speed, and the target pressure value is optimized based on the pressure adjustment parameter. The waste gas introduction speed at the inlet of the bag filter can be adjusted by adjusting the power of the air extraction pump, etc. The faster the waste gas introduction speed, the more waste gas needs to be filtered by the dust removal bag per unit time, which is likely to cause a short-term accumulation of dust at the bag filtering part and cause a little blockage. This situation will also temporarily increase the rising rate of the pressure inside the box, but it is not a problem with the dust removal bag itself. This application is to adjust the bag replacement timing by adjusting the target pressure value in the abnormal situation where the bag itself is worn or has accumulated too much ash layer. This short-term blockage phenomenon will produce a certain pressure value error, affecting the judgment of the bag state. Therefore, according to the magnitude of the waste gas introduction speed, a corresponding pressure adjustment parameter is generated. The greater the waste gas introduction speed, the higher the value of the pressure adjustment parameter, so as to further ensure the accuracy and reliability of the target pressure value optimized according to the pressure adjustment parameter.

[0056] The data in the first standard database and the second standard database in the above two embodiments are measured through actual dust removal work using brand-new cloth bags in the early stage, that is, constructed based on historical data. For example, this standard dust removal duration is obtained by introducing the waste gas generated in a certain previous process and timing how long it takes to complete the waste gas dust removal work. The data in the standard database can also be constructed through a BP neural network model: that is, a small amount of historical measurement data is obtained, the BP neural network model is trained based on these historical measurement data, and then a large number of quantities are simulated and predicted through the trained model. The standard database is constructed with these predicted data. After the database is constructed, subsequent standard dust removal duration data can be directly determined by querying the database. The third standard database and the pressure adjustment parameters are both for adjusting the magnitude of the target pressure value for replacement reminder. The setting of this target pressure value itself is set manually based on experience, and there is no specific numerical value that must be a certain amount, so there is no calculation formula. If we must reflect an intelligent calculation process, we can also train and predict the BP neural network with a small amount of data set manually based on experience.

[0057] For the BP neural network used in this application, the number of input neurons M = 4; the number of hidden layer neurons I = 5; the number of output neurons J = 3, the learning rate is 0.05, and the inertia coefficient is 0.1. The m-th input neuron, the i-th hidden layer neuron, and the j-th output neuron are represented by x m ,k i ,y j respectively. The weight between x m and k i is ω mi ,k i and the weight between k j and y ij is ω

[0058] The inputs and outputs of the network input layer are both:

[0059]

[0060] where x1 = r in (k) is the expected input of the system, x2 = y(k) is the actual input of the system, x3 = e(k), and x4 = 1 is the external bias constant for non-linear adjustment.

[0061] The inputs and outputs of the network hidden layer are respectively:

[0062]

[0063] The inputs and outputs of the network output layer are respectively:

[0064]

[0065] In the formula, respectively represent the weight coefficients of the hidden layer and the output layer, and the superscripts (1), (2), and (3) respectively represent the input layer, the hidden layer, and the output layer.

[0066] The selection of the error function is expressed according to the idea of the gradient descent method, and the performance index function taken is:

[0067] E(k) = (r in (k) - y(k)) 2 / 2.

[0068] Embodiment 3 provides an intelligent replacement reminder device for a dust removal cloth bag, as Figure 2 shown, including a receiving module, a determining module, a detecting module, a reminding module, and an optimizing module that are communicatively connected. It should be noted that the Figure 2 intelligent replacement reminder device for the dust removal cloth bag shown is used to execute the method of the embodiment of the present application. For the sake of convenience of description, only the parts related to the embodiment of the present application are shown. For the specific technical details not disclosed, please refer to the embodiment shown in the present application Figure 1 shown. Figure 1 shown embodiments.

[0069] For an intelligent replacement reminder device for a dust removal cloth bag in Embodiment 3, its receiving module is used to obtain the current pressure value inside the bag filter housing whenever a dust removal instruction is received;

[0070] The determining module is used to determine the pre-sequence production information corresponding to the dust removal instruction, and calculate the estimated pressure value at the target dust removal end time based on the pre-sequence production information and the current pressure value, and the target dust removal end time is determined based on the pre-sequence production information;

[0071] The detecting module is used to detect the actual pressure value inside the bag filter housing at the target dust removal end time, and update the target pressure value based on the difference between the actual pressure value and the estimated pressure value;

[0072] The reminding module is used to generate a replacement reminder message when the real-time pressure value inside the bag filter housing is not less than the target pressure value;

[0073] The optimizing module is used to detect the waste gas introduction speed at the inlet of the bag filter, generate a pressure adjustment parameter based on the waste gas introduction speed, and optimize the target pressure value based on the pressure adjustment parameter.

[0074] In the third embodiment above, the determination module includes a first determination unit, a first query unit, and a first calculation unit; the first determination unit is configured to determine the pre-production information corresponding to the dust removal instruction; the first query unit is configured to query a preset first standard database based on the pre-production information to obtain a standard dust removal duration, and determine a target dust removal end time based on the standard dust removal duration. The first standard database stores the mapping relationship between the pre-production information and the standard dust removal duration of the dust removal bag in a brand-new state; the first calculation unit is configured to calculate an estimated pressure value at the target dust removal end time based on the pre-production information and the current pressure value.

[0075] The first calculation unit in the third embodiment above includes a first query component and a first calculation component. The first query component is configured to query a preset second standard database based on the pre-production information to obtain a standard dust removal increased pressure. The second standard database stores the mapping relationship between the pre-production information and the standard dust removal increased pressure of the dust removal bag in a brand-new state; the first calculation component is configured to calculate the sum of the standard dust removal increased pressure and the current pressure value to obtain the estimated pressure value at the target dust removal end time.

[0076] In the third embodiment above, the detection module includes a second calculation unit, a second query unit, and an update unit. The second calculation unit is configured to calculate the difference between the actual pressure value and the estimated pressure value to obtain a pressure difference value; the second query unit is configured to query a preset third standard database based on the pressure difference value to obtain a reminder pressure value. The third standard database stores the mapping relationship between the pressure difference value and the reminder pressure value, and the numerical values of the pressure difference value and the reminder pressure value are negatively correlated; the update unit is configured to update the target pressure value based on the reminder pressure value.

[0077] In the third embodiment above, the update unit includes a first judgment component and a second judgment component. The first judgment component is configured to use the reminder pressure value as the target pressure value when there is no target pressure value; the second judgment component is configured to update the target pressure value based on the reminder pressure value when there is a target pressure value.

[0078] Those skilled in the art can clearly understand that the technical solutions of the embodiments of the present application can be implemented by means of software and / or hardware. The "unit" and "module" in this specification refer to software and / or hardware that can independently complete or cooperate with other components to complete specific functions. The hardware can be, for example, a Field-Programmable Gate Array (FPGA), an Integrated Circuit (IC), etc.

[0079] Each processing unit and / or module in the embodiments of the present application can be implemented by an analog circuit that implements the functions described in the embodiments of the present application, or can be implemented by software that executes the functions described in the embodiments of the present application.

[0080] See Figure 3 , which shows a schematic structural diagram of an electronic device involved in Embodiment 4. This electronic device can be used to implement Figure 1 the method in the shown embodiment. As Figure 3 shown, the electronic device may include: at least one central processing unit, at least one network interface, a user interface, a memory, and at least one communication bus; wherein, the communication bus is used to implement connection communication between these components; the user interface may include a display screen (Display) and a camera (Camera), and optionally, the user interface may further include a standard wired interface and a wireless interface. Among them, the network interface may optionally include a standard wired interface and a wireless interface (such as a WI-FI interface).

[0081] Among them, the central processing unit may include one or more processing cores. The central processing unit uses various interfaces and lines to connect various parts within the entire electronic device, and by running or executing instructions, programs, code sets, or instruction sets stored in the memory, and by calling data stored in the memory, it executes various functions of the terminal and processes data. Optionally, the central processing unit may be implemented in at least one hardware form of digital signal processing (DSP), field-programmable gate array (FPGA), or programmable logic array (PLA). The central processing unit may integrate a combination of one or several of a central processing unit (CPU), a graphics processing unit (GPU), and a modem, etc. Among them, the CPU mainly processes the operating system, user interface, application programs, etc.; the GPU is responsible for rendering and drawing the content to be displayed on the display screen; the modem is used to process wireless communication. It can be understood that the above modem may not be integrated into the central processing unit and may be implemented separately by a single chip.

[0082] Among them, the memory may include a Random Access Memory (RAM), or may also include a Read-Only Memory. Optionally, the memory includes a non-transitory computer-readable storage medium. The memory can be used to store instructions, programs, codes, code sets, or instruction sets. The memory may include a program storage area and a data storage area. Among them, the program storage area can store instructions for implementing the operating system, instructions for at least one function (such as touch function, sound playback function, image playback function, etc.), instructions for implementing the above-mentioned method embodiments, etc.; the data storage area can store the data involved in the above-mentioned method embodiments. Optionally, the memory may also be at least one storage device located far from the aforementioned central processing unit 301. As Figure 3 shown, in the memory as a computer storage medium, it may include an operating system, a network communication module, a user interface module, and program instructions.

[0083] In Figure 3 the electronic device shown, the user interface is mainly used to provide an interface for the user to obtain the data input by the user; and the central processing unit can be used to call the intelligent replacement reminder application program stored in the memory and specifically perform the following operations:

[0084] Whenever a dust removal instruction is received, obtain the current pressure value inside the bag filter housing;

[0085] Determine the previous production information corresponding to the dust removal instruction, and calculate the estimated pressure value at the target dust removal end time based on the previous production information and the current pressure value, where the target dust removal end time is determined based on the previous production information;

[0086] Detect the actual pressure value inside the bag filter housing at the target dust removal end time, and update the target pressure value based on the difference between the actual pressure value and the estimated pressure value;

[0087] When the real-time pressure value inside the bag filter housing is not less than the target pressure value, generate a replacement reminder information.

[0088] The present application also provides a computer-readable storage medium, on which a computer program is stored. When the program is executed by a processor, the steps of the above method are implemented. Among them, the computer-readable storage medium may include, but is not limited to, any type of disk, including floppy disks, optical disks, DVDs, CD-ROMs, microdrives, and magneto-optical disks, ROMs, RAMs, EPROMs, EEPROMs, DRAMs, VRAMs, flash memory devices, magnetic cards or optical cards, nano-systems (including molecular memory ICs), or any type of medium or device suitable for storing instructions and / or data.

[0089] It should be noted that, for the foregoing method embodiments, for the sake of simple description, they are all expressed as a series of action combinations. However, those skilled in the art should know that the present application is not limited by the described action sequence, because according to the present application, certain steps can be performed in other sequences or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily essential to the present application.

[0090] In the above embodiments, the descriptions of the various embodiments have their own emphases. For the parts not detailed in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0091] In the several embodiments provided by the present application, it should be understood that the disclosed device can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed coupling or direct coupling or communication connection between each other can be through some service interfaces. The indirect coupling or communication connection of the device or unit can be in an electrical or other form.

[0092] The units described as separate components may or may not be physically separated. The components displayed as units may or may not be physical units, that is, they can be located in one place, or they can be distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0093] In addition, in each embodiment of the present application, the various functional units can be integrated in a processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit. The above integrated units can be implemented in the form of hardware or in the form of software functional units.

[0094] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a memory and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present application. The aforementioned memory includes: USB flash drives, read-only memories (ROMs), random access memories (RAMs), external hard drives, magnetic disks, or optical discs, etc., all of which can store program codes.

[0095] Those of ordinary skill in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by instructing relevant hardware through a program. The program can be stored in a computer-readable memory, and the memory can include: flash drives, read-only memories (ROMs), random access memories (RAMs), magnetic disks, or optical discs, etc.

[0096] The above are only exemplary embodiments of the present disclosure and should not be used to limit the scope of the present disclosure. That is, any equivalent changes and modifications made in accordance with the teachings of the present disclosure still fall within the scope covered by the present disclosure. After considering the specification and practicing the present disclosure, those skilled in the art will readily think of other embodiments of the present disclosure. The present application aims to cover any variations, uses, or adaptive changes of the present disclosure, which follow the general principles of the present disclosure and include common general knowledge or conventional technical means in the technical field not described in the present disclosure. The specification and the embodiments are only regarded as exemplary, and the scope and spirit of the present disclosure are defined by the claims.

Claims

1. An intelligent replacement reminder method for a dust removal cloth bag, characterized in that, The method includes the following steps: S1: Whenever a dust removal instruction is received, obtain the current pressure value inside the bag filter housing. S2: Determine the previous production information corresponding to the dust removal instruction, and calculate the estimated pressure value at the target dust removal end time based on the previous production information and the current pressure value. The target dust removal end time is determined based on the previous production information. S3: At the target dust removal end time, detect the actual pressure value inside the bag filter housing, update the target pressure value based on the difference between the actual pressure value and the estimated pressure value. Then, measure the waste gas introduction speed at the inlet of the bag filter, generate a pressure adjustment parameter based on the waste gas introduction speed, and optimize the target pressure value based on the pressure adjustment parameter. The process of updating the target pressure value based on the difference between the actual pressure value and the estimated pressure value is as follows: First, calculate the difference between the actual pressure value and the estimated pressure value to obtain a pressure difference value. Then, query a preset third standard database based on the pressure difference value to obtain a reminder pressure value, and replace the target pressure value according to the reminder pressure value. Among them, the third standard database stores the mapping relationship between the pressure difference value and the reminder pressure value, and the values of the pressure difference value and the reminder pressure value are negatively correlated. S4: When the real-time pressure value inside the bag filter housing is not less than the target pressure value, generate a replacement reminder information.

2. The intelligent replacement reminder method for a dust removal cloth bag according to claim 1, characterized in that: In step S2, the calculation of the estimated pressure value at the target dust removal end time is performed through a preset first standard database. The first standard database stores the mapping relationship between the previous production information and the standard dust removal duration of the dust removal bag in a brand-new state. The specific calculation process is as follows: First, query the preset first standard database based on the previous production information to obtain the standard dust removal duration, and determine the time when the dust removal bag completes the dust removal work at the normal dust removal rate based on the standard dust removal duration, that is, the target dust removal end time. The target dust removal end time is the start time of the dust removal work plus the standard dust removal duration. Estimate the waste gas volume generated by the previous process based on the previous production information, and combine the current pressure value to estimate the change in the pressure inside the housing after processing to obtain the estimated pressure value at the target dust removal end time. The data stored in the first standard database is obtained by directly measuring the standard dust removal duration spent when using a brand-new dust removal bag to remove dust from the waste gas generated by different previous processes, and constructing the mapping relationship between the two through the measured data; or it is constructed through a BP neural network model. When constructing through a BP neural network model, first obtain a small amount of historical measurement data, train the BP neural network model based on these historical measurement data, and then simulate and predict a large number of quantities through the trained model, and construct a standard database with these predicted data.

3. An intelligent replacement reminder method for a dust removal cloth bag according to claim 1, characterized in that: In step S2, the calculation of the estimated pressure value at the target dust removal end time is performed through a preset second standard database. The second standard database stores the mapping relationship between the previous production information and the standard dust removal increased pressure of the dust removal bag in a brand-new state. The calculation process is as follows: query a preset second standard database based on the previous production information to obtain the standard dust removal increasing pressure, calculate the sum of the standard dust removal increasing pressure and the current pressure value to obtain the estimated pressure value at the target dust removal end moment; The data stored in the second standard database is the pressure change value inside the box measured after using a brand-new dust removal bag in the early stage to perform dust removal work on the waste gas generated by different previous processes, that is, the standard dust removal increasing pressure, and the mapping relationship between the two is constructed through the measured data; or it is constructed through a BP neural network model; when constructing through a BP neural network model, first obtain a small amount of historical measurement data, train the BP neural network model based on these historical measurement data, and then simulate and predict a large number of quantities through the trained model, and construct a standard database with these predicted data.

4. An intelligent replacement reminder method for a dust removal cloth bag according to claim 1, characterized in that: When there is no target pressure value, use the reminder pressure value as the target pressure value; when there is a target pressure value, update the target pressure value based on the reminder pressure value.

5. An intelligent replacement reminder device for a dust removal cloth bag, characterized in that: The reminder device is used to execute the intelligent replacement reminder method for a dust removal bag described in claim 1; the reminder device includes a receiving module, a determination module, a detection module, and a reminder module that are communicatively connected in sequence; The receiving module is used to obtain the current pressure value inside the bag filter housing when receiving a dust removal instruction, and transmit the obtained current pressure value to the determination module; The determination module is used to determine the previous production information corresponding to the dust removal instruction, calculate the estimated pressure value at the target dust removal end moment based on the previous production information and the current pressure value, and transmit the calculated estimated pressure value to the detection module; the target dust removal end moment is determined based on the previous production information; The detection module is used to detect the actual pressure value inside the bag filter housing at the target dust removal end moment, update the target pressure value based on the difference between the actual pressure value and the estimated pressure value, and transmit the target pressure value to the reminder module; The reminder module is used to generate a replacement reminder message when the real-time pressure value inside the bag filter housing is not less than the target pressure value.

6. The intelligent replacement reminder device for a dust removal cloth bag according to claim 5, characterized in that: The device further includes an optimization module that is communicatively connected to the reminder module bidirectionally; the optimization module is used to detect the waste gas introduction speed at the inlet of the bag filter, generate a pressure adjustment parameter based on the waste gas introduction speed, optimize the target pressure value based on the pressure adjustment parameter, and transmit it to the reminder module to generate a replacement reminder message.

7. An intelligent replacement reminder device for a dust removal cloth bag according to claim 5 or 6, characterized in that: The receiving module is the controller of the bag filter. The actual pressure inside the housing is detected by a pressure sensor arranged inside the bag filter housing and transmitted to the controller of the bag filter housing; after receiving the dust removal instruction, in addition to normal startup work, the controller will also obtain the current air pressure value inside the housing, that is, the current pressure value; The receiving module includes a first determination unit, a first query unit, and a first calculation unit that are communicatively connected in sequence; the first determination unit is configured to determine the previous production information corresponding to the dust removal instruction; the first query unit is configured to query a preset first standard database based on the previous production information to obtain a standard dust removal duration, and determine a target dust removal end time based on the standard dust removal duration, and the first standard database stores a mapping relationship between the previous production information and the standard dust removal duration in the brand-new state of the dust removal bag; the first calculation unit is configured to calculate an estimated pressure value at the target dust removal end time based on the previous production information and the current pressure value; The detection module includes a second calculation unit, a second query unit, and an update unit; the second calculation unit is configured to calculate a difference between the actual pressure value and the estimated pressure value to obtain a pressure difference value; The second query unit is configured to query a preset third standard database based on the pressure difference value to obtain a reminder pressure value, and the third standard database stores a mapping relationship between the pressure difference value and the reminder pressure value, and the values of the pressure difference value and the reminder pressure value are negatively correlated; the update unit is configured to update the target pressure value based on the reminder pressure value, and the update unit includes a first judgment element and a second judgment element, the first judgment element is configured to use the reminder pressure value as the target pressure value when there is no target pressure value; the second judgment element is configured to update the target pressure value based on the reminder pressure value when there is a target pressure value.

8. An intelligent replacement reminder electronic device for a dust removal cloth bag, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1-4 are implemented.

Images