CN115671907A - Intelligent replacement reminding method and device for dust removal cloth bag and electronic equipment - Google Patents
Intelligent replacement reminding method and device for dust removal cloth bag and electronic equipment Download PDFInfo
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Abstract
The invention discloses an intelligent replacement reminding method and device for a dust removal cloth bag and electronic equipment. The method comprises the steps of acquiring a current pressure value in a box body of the bag-type dust collector when a dust removal instruction is received; determining preorder production information corresponding to the dust removal instruction, and calculating a pre-estimated pressure value of a target dust removal finishing moment based on the preorder production information and a current pressure value; detecting an actual pressure value inside the box body of the bag-type dust collector at the end moment of target dust removal, and updating the target pressure value based on the difference between the actual pressure value and the estimated pressure value; and when the real-time pressure value in the box body of the bag-type dust collector is not less than the target pressure value, generating replacement reminding information. The invention can generate the replacement reminding information in time to remind workers to replace when the loss of the dust removal cloth bag is judged to be serious or the ash layer is accumulated to a large extent, thereby reducing the loss of the cloth bag and ensuring the dust removal efficiency of the cloth bag in work and the dust removal reliability of the cloth bag dust remover.
Description
Technical Field
The application relates to the technical field of automatic control, in particular to an intelligent replacement reminding method and device for a dust removal cloth bag and electronic equipment.
Background
During the smelting process of mineral production such as steel making, a large amount of dust is generated, and the production waste gas is directly discharged into the air to cause serious pollution, so dust removal is needed before discharge. At present, a bag-type dust collector is generally used for realizing a dust removal process, and a bag made of woven filter cloth or non-woven felt is arranged in the bag-type dust collector. When the air that will contain the dust through the air-supply line is sent into in the middle of the box of dust remover, and the air that contains the dust passes the sack, and the dust that the granule is big, proportion is big falls into the ash bucket because the effect of gravity subsides, and the gas that contains finer dust is when passing through the filter material, and the dust is detained, finally realizes gaseous purification.
During continuous dust removal work of the bag-type dust remover, an ash layer can be accumulated in the bag, and the excessive thickness of the ash layer can influence the dust removal effect and the dust removal efficiency of the bag, so that the bag needs to be replaced after a certain ash layer is accumulated. At present, mostly after every fixed time period, change once in unison the sack. However, due to the difference of daily production plans, the ash layers accumulated in the cloth bags in a unit period are different, the cloth bags are replaced too early or too late in a replacement mode of a fixed time period under most conditions, the cloth bags are frequently cleaned due to the early replacement, the ash layers in the cloth bags are too much due to the late replacement, and the cloth bags bear large pressure for a long time, so that the loss of the cloth bags is improved due to the two, the dust removal efficiency of the cloth bags is influenced, and the dust removal reliability of the cloth bag dust remover is finally influenced.
Disclosure of Invention
In order to solve the problems, the embodiment of the application provides an intelligent replacement reminding method and device for a dust removal cloth bag and electronic equipment.
In order to achieve the technical purpose, the invention provides an intelligent replacement reminding method of a dust removal cloth bag, which is characterized by comprising the following steps of:
s1: when a dust removal instruction is received, acquiring a current pressure value in a box body of the bag-type dust remover;
s2: determining preorder production information corresponding to the dust removal instruction, calculating a pre-estimated pressure value of a target dust removal finishing moment based on the preorder production information and a current pressure value, and determining the target dust removal finishing moment based on the preorder production information;
s3: detecting an actual pressure value inside the box body of the bag-type dust collector at the target dust removal finishing moment, and updating a target pressure value based on the difference between the actual pressure value and the estimated pressure value;
s4: when the real-time pressure value inside the box body of the bag-type dust collector is not less than the target pressure value,
and generating replacement reminding information.
The invention has the following excellent technical scheme: the pre-estimated pressure value of the target dust removal finishing moment is calculated in the step S2 through a preset first standard database, and the first standard database stores the mapping relation between the pre-order production information of the dust removal cloth bag and the standard dust removal duration in a brand new state;
the specific calculation process is as follows: firstly, inquiring a preset first standard database based on the preorder production information to obtain standard dust removal time, and determining the time of a dust removal cloth bag for completing dust removal work at a normal dust removal rate, namely the target dust removal finishing time based on the standard dust removal time, wherein the target dust removal finishing time is the time of starting the dust removal work plus the standard dust removal time; estimating the amount of waste gas generated in the preorder process based on the preorder production information, and estimating the change of the pressure in the box body after the treatment is finished by combining the current pressure value to obtain an estimated pressure value at the target dust removal finishing moment;
the data stored in the first standard database is standard dust removal duration spent in dust removal work of waste gas generated in different pre-procedures by directly measuring the pre-stage dust removal cloth bags in a brand new state, and a mapping relation between the pre-stage dust removal duration and the standard dust removal duration is constructed by actually measured data; or constructed by a BP neural network model; when the BP neural network model is constructed, a small amount of historical measurement data is obtained firstly, the BP neural network model is trained on the basis of the historical measurement data, a large amount of historical measurement data is predicted through the trained model in a simulation mode, and a standard database is constructed through the predicted data.
The invention has the following excellent technical scheme: the pre-estimated pressure value of the target dust removal finishing moment is calculated in the step S2 through a preset second standard database, and the second standard database stores the mapping relation between the pre-order production information of the dust removal cloth bag and the standard dust removal increasing pressure in a brand new state; the calculation process is as follows: inquiring a preset second standard database based on the preorder production information to obtain a standard dedusting increasing pressure, and calculating the sum of the standard dedusting increasing pressure and the current pressure value to obtain an estimated pressure value of the target dedusting finishing moment;
the data stored in the second standard database is a measured pressure change value inside the box body, namely standard dedusting increase pressure, after the dedusting work is carried out on the waste gas generated by different pre-procedures by directly measuring the pre-stage dust removal cloth bags in a brand new state, and the mapping relation between the measured pressure change value and the standard dedusting increase pressure is constructed by actually measured data; or constructed by a BP neural network model; when the BP neural network model is constructed, a small amount of historical measurement data is firstly obtained, the BP neural network model is trained on the basis of the historical measurement data, a large amount of historical measurement data is predicted through the trained model simulation, and a standard database is constructed through the predicted data.
The invention has the following excellent technical scheme: the process of updating the target pressure value based on the difference between the actual pressure value and the estimated pressure value in the step S3 is as follows: firstly, calculating the difference between the actual pressure value and the estimated pressure value to obtain a pressure difference value; then, inquiring a preset third standard database based on the pressure difference value to obtain a reminding pressure value, and replacing a target pressure value according to the reminding pressure value; the third standard database stores a mapping relation between a pressure difference value and a reminding pressure value, and the pressure difference value and the reminding pressure value are in negative correlation.
The invention has the following excellent technical scheme: after the step S3 of updating the target pressure value based on the difference between the actual pressure value and the estimated pressure value, the method further includes: detecting the waste gas leading-in speed at the inlet of the bag-type dust collector, generating a pressure adjusting parameter based on the waste gas leading-in speed, and optimizing the target pressure value based on the pressure adjusting parameter.
The further technical scheme of the invention is as follows: when a target pressure value does not exist, taking the reminding pressure value as the target pressure value; when a target pressure value exists, updating the target pressure value based on the reminding pressure value.
In order to achieve the technical purpose, the invention also provides an intelligent replacement reminding device for the dust removal cloth bag, which is characterized by comprising a receiving module, a determining module, a detecting module and a reminding module which are sequentially in communication connection;
the receiving module is used for acquiring the current pressure value inside the box body of the bag-type dust collector when receiving the dust removing instruction, and transmitting the acquired current pressure value to the determining module;
the determining module is used for determining the preorder production information corresponding to the dust removal instruction, calculating an estimated pressure value of a target dust removal finishing moment based on the preorder production information and the current pressure value, and transmitting the calculated estimated pressure value to the detecting module; the target dust removal end time is determined based on the preorder production information;
the detection module is used for detecting an actual pressure value inside the box body of the bag-type dust collector at the target dust removal finishing moment, updating a target pressure value based on the difference between the actual pressure value and an estimated pressure value, and transmitting the target pressure value to the reminding module;
the reminding module is used for generating replacement reminding information when the real-time pressure value in the bag-type dust collector box body is not smaller than the target pressure value.
The further technical scheme of the invention is as follows: the device also comprises an optimization module in bidirectional communication connection with the reminding module; the optimization module is used for detecting the waste gas leading-in speed at the inlet of the bag-type dust collector, generating a pressure adjustment parameter based on the waste gas leading-in speed, optimizing the target pressure value based on the pressure adjustment parameter, and conveying the target pressure value to the reminding module to generate replacement reminding information.
The invention has the following excellent technical scheme: the receiving module is a controller of the bag-type dust collector, detects the actual pressure in the box body through a pressure sensor arranged in the box body of the bag-type dust collector, and transmits the actual pressure to the controller of the box body of the bag-type dust collector; after receiving the dust removal instruction, the controller can obtain the current air pressure value in the box body, namely the current pressure value, besides the normal starting work;
the receiving template comprises a first determining unit, a first inquiring unit and a first calculating unit which are sequentially in communication connection; the first determining unit is used for determining preorder production information corresponding to the dust removal instruction; the first query unit is used for querying a preset first standard database based on the preorder production information to obtain standard dust removal time, and determining a target dust removal finishing time based on the standard dust removal time, wherein the first standard database stores the mapping relation between preorder production information and the standard dust removal time of the dust removal cloth bag in a brand new state; the first calculation unit is used for calculating an estimated pressure value of the target dust removal finishing moment based on the preorder production information and the current pressure value;
the detection module comprises a second calculation unit, a second query unit and an update unit; the second calculating unit is used for calculating the difference between the actual pressure value and the estimated pressure value to obtain a pressure difference value; the second query unit is used for querying a preset third standard database based on the pressure difference value to obtain a reminding pressure value, the third standard database stores a mapping relation between the pressure difference value and the reminding pressure value, and the pressure difference value and the reminding pressure value are in negative correlation; the updating unit is used for updating a target pressure value based on the reminding pressure value, and comprises a first judging element and a second judging element, wherein the first judging element is used for taking the reminding pressure value as the target pressure value when the target pressure value does not exist; the second judgment element is used for updating the target pressure value based on the reminding pressure value when the target pressure value exists.
The invention also provides an intelligent replacement reminding electronic device of the dust removal cloth bag, which comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, and is characterized in that: the processor, when executing the computer program, realizes the steps of the method according to any of claims 1-6.
The present invention also provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements a method as provided by the first aspect or any one of the possible implementations of the first aspect.
The invention has the beneficial effects that: the loss condition or the working state of the dust removal cloth bag is judged through real-time detection calculation of the internal pressure value of the box body of the cloth bag dust remover, and then when the loss of the dust removal cloth bag is judged to be serious or the ash layer is accumulated more, replacement reminding information can be generated in time to remind workers to replace, the loss of the cloth bag is reduced, and the dust removal efficiency of the cloth bag in work and the reliability of the dust removal work of the cloth bag dust remover are guaranteed.
Drawings
FIG. 1 is a schematic flow chart of an intelligent replacement reminding method for a dust removal cloth bag according to the invention;
FIG. 2 is a block diagram of the intelligent replacement reminding device for a dust removal cloth bag according to the present invention;
fig. 3 is a structural block diagram of an intelligent replacement reminding electronic device for a dust removal cloth bag in the invention.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application.
In the following description, the terms "first" and "second" are used for descriptive purposes only and are not intended to indicate or imply relative importance. The following description provides embodiments of the present application, where different embodiments may be substituted or combined, and thus the present application is intended to include all possible combinations of the same and/or different embodiments described. Thus, if one embodiment includes the feature A, B, C and another embodiment includes the feature B, D, then this application should also be considered to include embodiments that include all other possible combinations of one or more of A, B, C, D, although this embodiment may not be explicitly recited in text below.
The following description provides examples, and does not limit the scope, applicability, or examples set forth in the claims. Changes may be made in the function and arrangement of elements described without departing from the scope of the disclosure. Various examples may omit, substitute, or add various procedures or components as appropriate. For example, the described methods may be performed in an order different than the order described, and various steps may be added, omitted, or combined. Furthermore, features described with respect to some examples may be combined into other examples.
The implementation provides an intelligent replacement reminding method for a dust removal cloth bag, the specific flow of the method is shown in fig. 1, and the method specifically comprises the following steps:
s1, acquiring a current pressure value in a box body of the bag-type dust collector when a dust collection instruction is received; the main body of the step can be a controller corresponding to the bag-type dust collector.
In this application embodiment, when having waste gas production and need carry out the dust removal process through the sack cleaner, the high in the clouds server can generate the dust removal instruction to send it to the controller, make controller control sack cleaner carry out work. After the controller receives the dust removal instruction, the controller can obtain the current air pressure value in the box body, namely the current pressure value, besides the normal starting work, so that the state of the dust removal cloth bag can be judged in the subsequent working process. The detection of the current pressure value can be realized by a pressure sensor arranged in the box body.
S2, determining preorder production information corresponding to the dust removal instruction, and calculating a pre-estimated pressure value of a target dust removal finishing moment based on the preorder production information and a current pressure value, wherein the target dust removal finishing moment is determined based on the preorder production information.
In the embodiment of the application, each dust removal instruction of the cloud server is generated in real time according to the current production state of the production system, so that the controller can inquire corresponding preorder production information through the dust removal instruction. The preorder production information indicates the production process of the exhaust gas to be introduced in the preorder production process, the exhaust gas amount generated by the preorder process can be estimated through the preorder production information, namely, according to the preorder production information, the production processes can be known in the prior art, the exhaust gas amount generated in each production link can be known through historical data, and therefore the total exhaust gas amount entering the dust removal process can be estimated; and then estimating the change of the pressure in the box body after the processing is finished by combining the current pressure value to obtain an estimated pressure value. Wherein, the target dust removal finishing time refers to the time when the dust removal cloth bag finishes the dust removal work at the normal dust removal rate.
S3, detecting an actual pressure value inside the box body of the bag-type dust collector at the target dust removal finishing moment, and updating a target pressure value based on the difference between the actual pressure value and an estimated pressure value; firstly, calculating the difference between the actual pressure value and the estimated pressure value to obtain a pressure difference value; inquiring a preset third standard database based on the pressure difference value to obtain a reminding pressure value, wherein the third standard database stores a mapping relation between the pressure difference value and the reminding pressure value, and the pressure difference value is negatively correlated with the value of the reminding pressure value; updating a target pressure value based on the reminder pressure value; when a target pressure value does not exist, taking the reminding pressure value as the target pressure value; when a target pressure value exists, updating the target pressure value based on the reminding pressure value.
In the embodiment of the application, besides the pre-estimated pressure value, the controller can also detect the actual pressure value inside the box body at the target dust removal finishing moment. If the dust removal sack appears the loss because of using for a long time for the jam appears in the filter part, perhaps when the dust removal sack does not wash for a long time and accumulates the too thick ash layer, the dust collection efficiency of dust removal sack can reduce, and then makes the pressure that the box was inside to accumulate grow bigger. Therefore, the controller can calculate the difference value between the actual pressure value and the estimated pressure value, and the larger the difference value is, the more serious the condition that the dust removal cloth bag is worn or the ash layer is accumulated is, so that the dust removal cloth bag needs to be replaced earlier. Therefore, the controller updates and adjusts the pressure value for reminding replacement according to the specific numerical value of the difference value, namely the size of the target pressure value, so that the target pressure value for reminding replacement is adaptively adjusted according to the actual condition of the dust removal cloth bag, each dust removal cloth bag cannot be replaced too early or too late, the service life of the prolonged dust removal cloth bag is prolonged, and the dust removal efficiency of the dust removal cloth bag and the working reliability of the cloth bag dust remover are guaranteed.
In the embodiment of the application, the preset third standard database stores the reminding pressure values set for different pressure difference values according to manual experience in the earlier stage, and a mapping relation between the reminding pressure values and the different pressure difference values is constructed. And querying a third standard database through the pressure difference value to obtain a corresponding reminding pressure value. The larger the pressure difference value is, the lower the dust removal efficiency of the dust removal cloth bag is than expected, although the cloth bag cannot be directly discarded due to the slightly poor dust removal efficiency of the dust removal cloth bag in consideration of practical conditions such as cost and the like, in order to prolong the service life of the cloth bag and ensure the overall dust removal reliability of equipment, the cloth bag is replaced within a shorter time than the normal work of the dust removal cloth bag, so that the accelerated loss of the work of the cloth bag for a long time is avoided, or an excessively thick ash layer is accumulated to cause blockage, and therefore the corresponding reminding pressure value is lower.
In the embodiment of the application, when the target pressure value does not exist, the reminding pressure value is directly used as the target pressure value. If the target pressure value exists before, the target pressure value is updated by the reminding pressure value, so that the target pressure value is consistent with the reminding pressure value determined at the last time.
And S4, generating replacement reminding information when the real-time pressure value in the bag-type dust collector box body is not less than the target pressure value. When the real-time pressure value is detected to be increased to be not less than the target pressure value, the load of the current dust removal cloth bag is considered to be saturated, and the dust removal cloth bag needs to be replaced. The controller generates replacement reminding information and sends the replacement reminding information to a mobile phone or a computer terminal of a corresponding worker so as to remind the worker to go to replace the worker.
The step S2 in the first embodiment includes: determining preorder production information corresponding to the dust removal instruction;
inquiring a preset first standard database based on the preorder production information to obtain standard dust removal time, and determining a target dust removal finishing time based on the standard dust removal time, wherein the target dust removal finishing time is the time of starting dust removal work plus the standard dust removal time; the first standard database stores the mapping relation between the preorder production information of the dust removal cloth bag and the standard dust removal duration in a brand new state;
and calculating the estimated pressure value of the target dust removal finishing moment based on the preorder production information and the current pressure value. The purpose of the step S2 is to compare the actual pressure value with the estimated pressure value, if the cloth bag is normal, the numerical values of the actual pressure value and the estimated pressure value are almost the same, if the cloth bag is abnormal, the dust removal efficiency is reduced, but because the waste gas continuously enters, the dust removal efficiency is low, the pressure in the box body is accumulated to rise more, and the data difference between the actual pressure value and the estimated pressure value is obvious. The target dust removal finishing time is used for determining the time for acquiring the actual pressure value, and the actual pressure value and the estimated pressure value are ensured to be corresponding to the same time, so that the validity of the comparison result can be ensured.
In the first embodiment, a first standard database is preset, in which standard dust removal duration spent in the process, which is measured by performing dust removal on waste gas generated in different pre-processes by using a dust removal cloth bag in a brand-new state in the early stage, is stored, and a mapping relationship between the standard dust removal duration and the standard dust removal duration is constructed. And inquiring the first standard database through the preorder production information to obtain the corresponding standard dust removal duration so as to determine the target dust removal finishing time. And then, calculating the estimated pressure value of the target dust removal finishing moment according to the preorder production information and the current pressure value. The determination of the target dust removal end time is to facilitate the subsequent determination of the actual pressure value at which time to compare the pressure difference.
The second embodiment provides an intelligent replacement reminding method for a dust removal cloth bag, wherein the steps S1, S3 and S4 are the same, and the pre-estimated pressure value of the target dust removal finishing moment is calculated in the step S2 based on the preorder production information and the current pressure value, and the method specifically comprises the following steps:
inquiring a preset second standard database based on the preorder production information to obtain standard dust removal increase pressure, wherein the second standard database stores the mapping relation between preorder production information of the dust removal cloth bag and the standard dust removal increase pressure in a brand new state;
and calculating the sum of the standard dedusting increasing pressure and the current pressure value to obtain an estimated pressure value of the target dedusting finishing moment.
In the second embodiment, a second standard database is also preset, in which the measured pressure change value inside the box, i.e. the standard dust removal increase pressure, after the dust removal operation is performed on the waste gas generated by different pre-processes by using the dust removal cloth bag in the new state in the early stage is stored, and a mapping relationship between the two values is constructed. And querying a second standard database through the preamble production information to obtain the corresponding standard dedusting increase pressure. The sum of the standard dedusting increasing pressure and the current pressure value is the estimated pressure value.
In the second embodiment, in order to achieve a more optimized scheme, after the step S3, an exhaust gas introduction speed at an inlet of the bag-type dust collector may be detected, a pressure adjustment parameter may be generated based on the exhaust gas introduction speed, and the target pressure value may be optimized based on the pressure adjustment parameter. The exhaust gas introduction speed at the inlet of the bag-type dust collector can be adjusted by adjusting the power of the air suction pump and the like. The faster the waste gas introduction speed is, the more waste gas needs to be filtered by the dust removal cloth bag in unit time, and a little blockage is easily caused by dust temporarily accumulated on the filtering part of the cloth bag. This kind of condition equally can be transient increase the rate of rise of pressure in the box, but not dust removal sack itself has appeared the problem, and this application is just to adjust the sack and change the opportunity through adjusting the target pressure value in order to change the sack earlier when the unusual situation of loss or accumulation too much ash bed appears in sack itself, and this kind of transient jam phenomenon can produce certain pressure value error, influences the judgement to the sack state. Therefore, according to the size of the waste gas introduction speed, a pressure adjusting parameter is correspondingly generated, and the larger the waste gas introduction speed is, the higher the value of the pressure adjusting parameter is, so as to further ensure the accuracy and the reliability of the target pressure value optimized according to the pressure adjusting parameter.
The data of the first standard database and the second standard database in the two embodiments are obtained by measurement of actual dust removal work performed by using a brand-new cloth bag in the early stage, namely, are constructed according to historical data; for example, the standard dust removal duration is to introduce the waste gas generated in a certain pre-process, and count how long the waste gas dust removal operation can be completed. The data in the standard database can also be constructed by a BP neural network model: the method comprises the steps of acquiring a small amount of historical measurement data, training a BP neural network model based on the historical measurement data, predicting a large amount of historical measurement data through the trained model, constructing a standard database by using the predicted data, and then directly determining the data of standard dedusting duration only by querying the database. The third standard database and the pressure adjustment parameter are both used for adjusting the size of the target pressure value for carrying out replacement reminding, the setting of the target pressure value is manually set by virtue of experience, and no numerical value is needed, so that no calculation formula is provided, and if an intelligent calculation process is not reflected, the BP neural network can be trained and predicted through a small amount of data set by manual experience.
BP neural network input neuron M =4 as used herein; hidden layer neuron I =5; output neuron J =3, learning rate bit 0.05 and inertia coefficient 0.1. The mth input neuron, the ith hidden layer neuron and the jth output neuron use x respectively m ,k i ,y j Denotes x m And k i The weight value between is omega mi ，k i And y j The weight value between is omega ij . The hidden layer and the output layer of the BP neural network can adopt symmetric Sigmoid excitation functions such as hyperbolic sine Sigmoid functions, and the learning algorithm can select a momentum gradient descent algorithm functiontraingdm。
The input and output of the network input layer are as follows:
wherein x is 1 ＝r in (k) For the system to expect input, x 2 = y (k) as the actual input to the system, x 3 ＝e(k)、x 4 =1 is the non-linearly adjusted external bias constant.
The input and output of the network hidden layer are respectively:
the input and output of the network output layer are respectively:
in the formula (I), the compound is shown in the specification,
respectively representing weight coefficients of a hidden layer and an output layer, and upper corner labels (1), (2) and (3) respectively representing an input layer, a hidden layer and an output layer.
The selection of the error function is expressed according to the idea of a gradient descent method, and the performance index function is taken as follows:
E(k)＝(r in (k)-y(k)) 2 /2。
the third embodiment provides an intelligent replacement reminding device for a dust removal cloth bag, which comprises a receiving module, a determining module, a detecting module, a reminding module and an optimizing module, wherein the receiving module, the determining module, the detecting module, the reminding module and the optimizing module are in communication connection with each other as shown in fig. 2. It should be noted that, the intelligent replacement reminding device for a dust removal cloth bag shown in fig. 2 is used for executing the method of the embodiment shown in fig. 1 of the present application, for convenience of description, only the part related to the embodiment of the present application is shown, and details of the technology are not disclosed, please refer to the embodiment shown in fig. 1 of the present application.
In the third embodiment, the receiving module of the intelligent replacement reminding device for the dust removal cloth bag is used for acquiring the current pressure value inside the box body of the cloth bag dust remover every time a dust removal instruction is received;
the determining module is used for determining preorder production information corresponding to the dust removal instruction, calculating a pre-estimated pressure value of a target dust removal finishing moment based on the preorder production information and a current pressure value, and determining the target dust removal finishing moment based on the preorder production information;
the detection module is used for detecting an actual pressure value inside the box body of the bag-type dust collector at the target dust removal finishing moment and updating a target pressure value based on the difference between the actual pressure value and an estimated pressure value;
the reminding module is used for generating replacement reminding information when the real-time pressure value in the box body of the bag-type dust collector is not less than the target pressure value;
the optimization module is used for detecting the waste gas leading-in speed at the inlet of the bag-type dust collector, generating a pressure adjustment parameter based on the waste gas leading-in speed, and optimizing the target pressure value based on the pressure adjustment parameter.
In the third embodiment, the determining module includes a first determining unit, a first querying unit, and a first calculating unit; the first determining unit is used for determining the preorder production information corresponding to the dust removal instruction; the first query unit is used for querying a preset first standard database based on the preorder production information to obtain standard dust removal time, and determining a target dust removal finishing time based on the standard dust removal time, wherein the first standard database stores the mapping relation between preorder production information and the standard dust removal time of the dust removal cloth bag in a brand new state; the first calculation unit is used for calculating the estimated pressure value of the target dust removal finishing moment based on the preorder production information and the current pressure value.
In the third embodiment, the first calculation unit includes a first query element and a first calculation element, the first query element is configured to query a preset second standard database based on the preamble production information to obtain a standard dust removal increase pressure, and the second standard database stores a mapping relationship between the preamble production information and the standard dust removal increase pressure of the dust removal cloth bag in a brand new state; and the first calculating element is used for calculating the sum of the standard dedusting increasing pressure and the current pressure value to obtain an estimated pressure value of the target dedusting finishing moment.
In the third embodiment, the detection module includes a second calculation unit, a second query unit, and an update unit, where 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 used for querying a preset third standard database based on the pressure difference value to obtain a reminding pressure value, the third standard database stores a mapping relation between the pressure difference value and the reminding pressure value, and the pressure difference value and the reminding pressure value are in negative correlation; the updating unit is used for updating a target pressure value based on the reminding pressure value;
in the third embodiment, the updating unit includes a first judging element and a second judging element, and the first judging element is configured to take the reminding pressure value as the target pressure value when the target pressure value does not exist; the second judgment element is used for updating the target pressure value based on the reminding pressure value when the target pressure value exists.
It is clear to a person skilled in the art that the solution according to the embodiments of the present application can be implemented by means of software and/or hardware. The term "unit" and "module" in this specification refers to software and/or hardware capable of performing a specific function independently or in cooperation with other components, wherein the hardware may be, for example, a Field-Programmable Gate Array (FPGA), an Integrated Circuit (IC), or the like.
Each processing unit and/or module in the embodiments of the present application may be implemented by an analog circuit that implements the functions described in the embodiments of the present application, or may be implemented by software that executes the functions described in the embodiments of the present application.
Referring to fig. 3, a schematic structural diagram of an electronic device according to a fourth embodiment is shown, where the electronic device may be used to implement the method in the embodiment shown in fig. 1. As shown in fig. 3, the electronic device may include: at least one central processing unit, at least one network interface, a user interface, a memory, at least one communication bus; the communication bus is used for realizing connection communication among the components; the user interface may comprise a Display screen (Display), a Camera (Camera), and the optional user interface may also comprise a standard wired interface, a wireless interface. The network interface may optionally include a standard wired interface or a wireless interface (e.g., WI-FI interface).
The central processor may include one or more processing cores. The central processor connects various parts within the entire electronic device using various interfaces and lines, and performs various functions of the terminal and processes data by executing or executing instructions, programs, code sets, or instruction sets stored in the memory, and calling data stored in the memory. Optionally, the central Processing unit may be implemented in at least one hardware form of Digital Signal Processing (DSP), field-Programmable Gate Array (FPGA), and Programmable Logic Array (PLA). The Central Processing Unit may integrate one or a combination of several of a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), a modem, and the like. Wherein, the CPU mainly processes an operating system, a user interface, an application program and the like; the GPU is used for rendering and drawing the content required to be displayed by the display screen; the modem is used to handle wireless communications. It is understood that the modem may be implemented by a single chip without being integrated into a central processing unit.
The Memory may include a Random Access Memory (RAM) or a Read-Only Memory (Read-Only Memory). Optionally, the memory includes a non-transitory computer-readable medium. The memory may be used to store an instruction, a program, code, a set of codes, or a set of instructions. The memory may include a stored program area and a stored data area, wherein the stored program area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playing function, an image playing function, etc.), instructions for implementing the various method embodiments described above, and the like; the storage data area may store data and the like referred to in the above respective method embodiments. The memory may alternatively be at least one memory device located remotely from the central processor 301. As shown in fig. 3, the memory, which is one type of computer storage medium, may include an operating system, a network communication module, a user interface module, and program instructions.
In the electronic device shown in fig. 3, the user interface is mainly used for providing an input interface for a user to obtain data input by the user; the central processing unit can be used for calling the intelligent replacement reminding application program of the dust removal cloth bag stored in the memory, and specifically executing the following operations:
when a dust removal instruction is received, acquiring a current pressure value inside a box body of the bag-type dust remover;
determining preorder production information corresponding to the dust removal instruction, calculating a pre-estimated pressure value of a target dust removal finishing moment based on the preorder production information and a current pressure value, and determining the target dust removal finishing moment based on the preorder production information;
detecting an actual pressure value inside the box body of the bag-type dust collector at the target dust removal finishing moment, and updating a target pressure value based on the difference between the actual pressure value and the estimated pressure value;
and when the real-time pressure value in the box body of the bag-type dust collector is not less than the target pressure value, generating replacement reminding information.
The present application also provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the above-described method. The computer-readable storage medium may include, but is not limited to, any type of disk including floppy disks, optical disks, DVDs, CD-ROMs, microdrive, and magneto-optical disks, ROMs, RAMs, EPROMs, EEPROMs, DRAMs, VRAMs, flash memory devices, magnetic or optical cards, nanosystems (including molecular memory ICs), or any type of media or device suitable for storing instructions and/or data.
It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present application is not limited by the order of acts described, as some steps may occur in other orders or concurrently depending on the application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required in this application.
In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one type of division of logical functions, and there may be other divisions when actually implementing, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not implemented. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of some service interfaces, devices or units, and may be an electrical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one position, or may be distributed on multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable memory. Based on such understanding, the technical solution of the present application may be substantially implemented or a part of or all or part of the technical solution contributing to the prior art may be embodied in the form of a software product stored in a memory, and including several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method described in the embodiments of the present application. And the aforementioned memory comprises: various media capable of storing program codes, such as a usb disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic disk, or an optical disk.
Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by a program, which is stored in a computer-readable memory, and the memory may include: flash disks, read-Only memories (ROMs), random Access Memories (RAMs), magnetic or optical disks, and the like.
The above description is only an exemplary embodiment of the present disclosure, and the scope of the present disclosure should not be limited thereby. That is, all equivalent changes and modifications made in accordance with the teachings of the present disclosure are intended to be included within the scope of the present disclosure. Embodiments of the present disclosure will be readily apparent to those skilled in the art from consideration of the specification and practice of the disclosure herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
Claims (10)
1. An intelligent replacement reminding method for a dust removal cloth bag is characterized by comprising the following steps:
s1: when a dust removal instruction is received, acquiring a current pressure value inside a box body of the bag-type dust remover;
s2: determining preorder production information corresponding to the dust removal instruction, calculating a pre-estimated pressure value of a target dust removal finishing moment based on the preorder production information and a current pressure value, and determining the target dust removal finishing moment based on the preorder production information;
s3: detecting an actual pressure value inside the box body of the bag-type dust collector at the target dust removal finishing moment, and updating a target pressure value based on the difference between the actual pressure value and the estimated pressure value;
s4: and when the real-time pressure value in the box body of the bag-type dust collector is not less than the target pressure value, generating replacement reminding information.
2. The intelligent replacement reminding method for the dust removal cloth bag according to claim 1, characterized in that: the pre-estimated pressure value of the target dust removal finishing moment is calculated in the step S2 through a preset first standard database, and the first standard database stores the mapping relation between the pre-order production information of the dust removal cloth bag and the standard dust removal duration in a brand new state;
the specific calculation process is as follows: firstly, inquiring a preset first standard database based on the preorder production information to obtain standard dust removal time, and determining the time of a dust removal cloth bag for completing dust removal work at a normal dust removal rate, namely the target dust removal finishing time based on the standard dust removal time, wherein the target dust removal finishing time is the time of starting the dust removal work plus the standard dust removal time; estimating the amount of waste gas generated in the preorder process based on the preorder production information, and estimating the change of the pressure in the box body after the treatment is finished by combining the current pressure value to obtain an estimated pressure value at the target dust removal finishing moment;
the data stored in the first standard database is standard dust removal duration spent in dust removal work of waste gas generated in different pre-procedures by directly measuring the pre-stage dust removal cloth bags in a brand new state, and a mapping relation between the pre-stage dust removal duration and the standard dust removal duration is constructed by actually measured data; or constructed by a BP neural network model; when the BP neural network model is constructed, a small amount of historical measurement data is firstly obtained, the BP neural network model is trained on the basis of the historical measurement data, a large amount of historical measurement data is predicted through the trained model simulation, and a standard database is constructed through the predicted data.
3. The intelligent replacement reminding method for the dust removal cloth bag according to claim 1, characterized in that: the step S2 of calculating the estimated pressure value of the target dust removal finishing moment is carried out through a preset second standard database, and the second standard database stores the mapping relation between the preorder production information of the dust removal cloth bag and the standard dust removal increasing pressure in a brand-new state; the calculation process is as follows: inquiring a preset second standard database based on the preorder production information to obtain a standard dedusting increasing pressure, and calculating the sum of the standard dedusting increasing pressure and the current pressure value to obtain an estimated pressure value at the target dedusting finishing moment;
the data stored in the second standard database is a measured pressure change value inside the box body, namely standard dedusting increase pressure, after the dedusting work is carried out on the waste gas generated by different pre-procedures by directly measuring the pre-stage dust removal cloth bags in a brand new state, and the mapping relation between the measured pressure change value and the standard dedusting increase pressure is constructed by actually measured data; or constructed by a BP neural network model; when the BP neural network model is constructed, a small amount of historical measurement data is firstly obtained, the BP neural network model is trained on the basis of the historical measurement data, a large amount of historical measurement data is predicted through the trained model simulation, and a standard database is constructed through the predicted data.
4. The intelligent replacement reminding method for the dust removal cloth bag according to claim 1, characterized in that: the process of updating the target pressure value based on the difference between the actual pressure value and the estimated pressure value in the step S3 is as follows: firstly, calculating the difference between the actual pressure value and the estimated pressure value to obtain a pressure difference value; then, inquiring a preset third standard database based on the pressure difference value to obtain a reminding pressure value, and replacing a target pressure value according to the reminding pressure value; the third standard database stores a mapping relation between a pressure difference value and a reminding pressure value, and the pressure difference value and the reminding pressure value are in negative correlation.
5. The intelligent replacement reminding method for the dust removal cloth bag according to claim 1 or 4, characterized in that: after the step S3 of updating the target pressure value based on the difference between the actual pressure value and the estimated pressure value, the method further includes: detecting the waste gas introduction speed at the inlet of the bag-type dust collector, generating a pressure adjustment parameter based on the waste gas introduction speed, and optimizing the target pressure value based on the pressure adjustment parameter.
6. The intelligent replacement reminding method for the dust removal cloth bag according to claim 1 or 4, characterized in that: when a target pressure value does not exist, taking the reminding pressure value as the target pressure value; when a target pressure value exists, updating the target pressure value based on the reminding pressure value.
7. An intelligent replacement reminding device for a dust removal cloth bag is characterized by comprising a receiving module, a determining module, a detecting module and a reminding module which are sequentially in communication connection;
the receiving module is used for acquiring the current pressure value inside the box body of the bag-type dust collector when receiving the dust removing instruction, and transmitting the acquired current pressure value to the determining module;
the determining module is used for determining preorder production information corresponding to the dust removal instruction, calculating a pre-estimated pressure value at the target dust removal finishing moment based on the preorder production information and the current pressure value, and transmitting the calculated pre-estimated pressure value to the detecting module; the target dust removal end time is determined based on the preorder production information;
the detection module is used for detecting an actual pressure value inside the box body of the bag-type dust collector at the target dust removal finishing moment, updating a target pressure value based on the difference between the actual pressure value and an estimated pressure value, and transmitting the target pressure value to the reminding module;
the reminding module is used for generating replacement reminding information when the real-time pressure value in the bag-type dust collector box body is not smaller than the target pressure value.
8. The intelligent replacement reminding device for the dust removal cloth bag according to claim 7, characterized in that: the device also comprises an optimization module in bidirectional communication connection with the reminding module; the optimization module is used for detecting the waste gas leading-in speed at the inlet of the bag-type dust collector, generating a pressure adjustment parameter based on the waste gas leading-in speed, optimizing the target pressure value based on the pressure adjustment parameter, and conveying the target pressure value to the reminding module to generate replacement reminding information.
9. The intelligent replacement reminding device for the dust removal cloth bag according to claim 7 or 8, wherein: the receiving module is a controller of the bag-type dust collector, detects the actual pressure in the box body through a pressure sensor arranged in the box body of the bag-type dust collector, and transmits the actual pressure to the controller of the box body of the bag-type dust collector; after receiving the dust removal instruction, the controller can obtain the current air pressure value in the box body, namely the current pressure value, besides the normal starting work;
the receiving template comprises a first determining unit, a first inquiring unit and a first calculating unit which are sequentially in communication connection; the first determining unit is used for determining preorder production information corresponding to the dust removal instruction; the first query unit is used for querying a preset first standard database based on the preorder production information to obtain standard dust removal time, and determining a target dust removal finishing time based on the standard dust removal time, wherein the first standard database stores the mapping relation between preorder production information and the standard dust removal time of the dust removal cloth bag in a brand new state; the first calculation unit is used for calculating an estimated pressure value of the target dust removal finishing moment based on the preorder production information and the current pressure value;
the detection module comprises a second calculation unit, a second query unit and an update unit; the second calculating unit is used for calculating the difference between the actual pressure value and the estimated pressure value to obtain a pressure difference value; the second query unit is used for querying a preset third standard database based on the pressure difference value to obtain a reminding pressure value, the third standard database stores a mapping relation between the pressure difference value and the reminding pressure value, and the pressure difference value and the reminding pressure value are in negative correlation; the updating unit is used for updating a target pressure value based on the reminding pressure value, and comprises a first judging element and a second judging element, wherein the first judging element is used for taking the reminding pressure value as the target pressure value when the target pressure value does not exist; the second judgment element is used for updating the target pressure value based on the reminding pressure value when the target pressure value exists.
10. The utility model provides an intelligence of dust removal sack is changed and is reminded electronic equipment, includes memory, treater and stores on the memory and can be at the computer program of treater operation which characterized in that: the processor, when executing the computer program, realizes the steps of the method according to any of claims 1-6.
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| CN202211465541.2A CN115671907A (en) | 2022-11-22 | 2022-11-22 | Intelligent replacement reminding method and device for dust removal cloth bag and electronic equipment |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116593065A (en) * | 2023-07-14 | 2023-08-15 | 青岛义龙包装机械有限公司 | Data analysis method of bag type packaging machine detection platform |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116593065A (en) * | 2023-07-14 | 2023-08-15 | 青岛义龙包装机械有限公司 | Data analysis method of bag type packaging machine detection platform |
| CN116593065B (en) * | 2023-07-14 | 2023-09-15 | 青岛义龙包装机械有限公司 | Data analysis method of bag type packaging machine detection platform |
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