CN114742312A - Coal mill coal blockage early warning method and device, electronic equipment and storage medium - Google Patents
Coal mill coal blockage early warning method and device, electronic equipment and storage medium Download PDFInfo
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Abstract
The application provides a coal mill coal blockage early warning method, a coal mill coal blockage early warning device, electronic equipment and a storage medium, wherein the method comprises the following steps: acquiring historical operating data of a coal mill to be tested; establishing a prediction model of the pressure difference of the inlet and the outlet of the coal mill to be tested based on the relation between the pressure difference of the inlet and the outlet of the coal mill to be tested and other operation indexes reflected by historical operation data; monitoring the current operation index of the coal mill to be tested, and inputting the current operation index into an inlet-outlet pressure difference prediction model to obtain a corresponding inlet-outlet pressure difference prediction value; and determining a coal blockage early warning result of the coal mill to be detected according to the deviation between the actual measured value of the pressure difference between the inlet and the outlet of the coal mill to be detected and the predicted value of the pressure difference between the inlet and the outlet. Whether the coal pulverizer to be detected has the coal blockage sign or not is judged according to the deviation between the predicted value and the measured value of the pressure difference of the inlet and the outlet of the coal pulverizer to be detected, the coal blockage risk of the coal pulverizer to be detected is discovered in time, and a foundation is laid for improving the coal blockage treatment efficiency of the coal pulverizer.
Description
Technical Field
The application relates to the technical field of safety management of coal mills, in particular to a coal blockage early warning method and device for a coal mill, electronic equipment and a storage medium.
Background
The coal mill is used as a core device of a boiler system of a coal-fired power plant, and the safety and the stability of the operation of the coal mill directly influence the safe operation and the economic benefit of the coal-fired power plant. Because the operation environment and the operation working condition are changeable, the coal blockage phenomenon often occurs in the operation process of the coal mill, and therefore, how to carry out coal blockage early warning on the coal mill becomes important research content.
In the prior art, an operation manager usually judges whether coal blockage occurs in the coal mill manually, and when the operation manager finds that the coal blockage is serious, the optimal control opportunity is missed.
Disclosure of Invention
The application provides a coal mill coal blockage early warning method and device, electronic equipment and a storage medium, and aims to overcome the defects that coal mill coal blockage risks cannot be found in time in the prior art.
The application provides in a first aspect a coal pulverizer coal blockage early warning method, including:
acquiring historical operating data of a coal mill to be tested;
establishing an inlet-outlet pressure difference prediction model of the coal mill to be tested based on the relation between the inlet-outlet pressure difference of the coal mill to be tested and other operation indexes reflected by the historical operation data;
monitoring the current operation index of the coal mill to be tested, and inputting the current operation index into the inlet-outlet pressure difference prediction model to obtain a corresponding inlet-outlet pressure difference prediction value;
and determining a coal blockage early warning result of the coal mill to be tested according to the deviation between the inlet and outlet pressure difference measured value and the inlet and outlet pressure difference predicted value of the coal mill to be tested.
Optionally, the establishing a model for predicting the pressure difference between the inlet and the outlet of the coal mill to be detected based on the relation between the pressure difference between the inlet and the outlet of the coal mill to be detected and other operation indexes, which is embodied by the historical operation data, includes:
screening operation data under a target working condition from the historical operation data, and preprocessing the operation data to obtain a model training sample set;
inputting the model training sample set into a preset initial inlet-outlet pressure difference prediction model, and training the initial inlet-outlet pressure difference prediction model based on the relation between the inlet-outlet pressure difference of the coal mill to be tested and other operation indexes, which is embodied by the model training sample set, to obtain an inlet-outlet pressure difference prediction model of the coal mill to be tested;
and the other operation indexes and the current operation index at least comprise the coal feeding amount, the primary air quantity, the current and the outlet air-powder mixing temperature of the coal mill to be tested.
Optionally, the determining a coal blockage early warning result of the coal mill to be detected according to the deviation between the actual measured value of the pressure difference between the inlet and the outlet of the coal mill to be detected and the predicted value of the pressure difference between the inlet and the outlet includes:
if the deviation between the actual measured value of the pressure difference between the inlet and the outlet of the coal mill to be detected and the predicted value of the pressure difference between the inlet and the outlet is larger than a preset deviation threshold value, determining that the coal mill to be detected is blocked currently;
otherwise, determining that the coal mill to be tested is not blocked currently;
the coal blockage early warning result of the coal mill to be detected comprises that coal blockage occurs at present in the coal mill to be detected and coal blockage does not occur in the coal mill to be detected.
Optionally, the method further includes:
when the coal blockage early warning result of the coal mill to be detected indicates that coal blockage occurs at present in the coal mill to be detected, acquiring the current hydraulic loading force of the coal mill to be detected;
determining the target hydraulic loading force of the coal mill to be tested according to the coal feeding amount in the current operation index;
and judging whether the coal blockage reason of the coal mill to be detected comprises insufficient hydraulic loading force according to the difference value between the current hydraulic loading force and the target hydraulic loading force of the coal mill to be detected.
Optionally, the method further includes:
when the coal blockage early warning result of the coal mill to be detected indicates that coal blockage occurs at present in the coal mill to be detected, acquiring a current primary air quantity set value of the coal mill to be detected;
determining a primary air volume target set value of the coal mill to be tested according to the coal feeding amount in the current operation index;
and judging whether the coal blockage reason of the coal mill to be detected comprises insufficient primary air quantity or not according to the difference value between the current primary air quantity set value and the target primary air quantity set value of the coal mill to be detected.
Optionally, the step of judging whether the coal blockage reason of the coal mill to be detected includes insufficient primary air volume according to the difference between the current primary air volume set value of the coal mill to be detected and the target primary air volume set value includes:
and if the difference value between the current primary air volume set value and the target primary air volume set value of the coal mill to be detected is smaller than a preset set value deviation threshold value, and the difference value between the current primary air volume set value and the actual primary air volume measured value represented by the current operation index is larger than a preset actual measured value deviation threshold value, determining that the coal blockage reason of the coal mill to be detected comprises insufficient primary air volume.
Optionally, the method further includes:
when the coal blockage early warning result of the coal mill to be detected indicates that coal blockage occurs at present in the coal mill to be detected, acquiring the current motor frequency of the coal mill to be detected;
and judging whether the coal blockage reason of the coal mill to be detected comprises insufficient motor frequency according to the magnitude relation between the current motor frequency and the standard motor frequency of the coal mill to be detected.
The second aspect of the application provides a coal pulverizer coal blockage early warning device, includes:
the acquisition module is used for acquiring historical operating data of the coal mill to be tested;
the model construction module is used for constructing an inlet-outlet pressure difference prediction model of the coal mill to be tested based on the relation between the inlet-outlet pressure difference of the coal mill to be tested and other operation indexes reflected by the historical operation data;
the monitoring module is used for monitoring the current operation index of the coal mill to be tested and inputting the current operation index into the inlet-outlet pressure difference prediction model to obtain a corresponding inlet-outlet pressure difference prediction value;
and the early warning module is used for determining a coal blockage early warning result of the coal mill to be tested according to the deviation between the actual measured value of the pressure difference between the inlet and the outlet of the coal mill to be tested and the predicted value of the pressure difference between the inlet and the outlet.
Optionally, the model building module is specifically configured to:
screening operation data under a target working condition from the historical operation data, and preprocessing the operation data to obtain a model training sample set;
inputting the model training sample set into a preset initial inlet-outlet pressure difference prediction model, and training the initial inlet-outlet pressure difference prediction model based on the relation between the inlet-outlet pressure difference of the coal mill to be tested and other operation indexes, which is embodied by the model training sample set, to obtain an inlet-outlet pressure difference prediction model of the coal mill to be tested;
and the other operation indexes and the current operation index at least comprise the coal feeding amount, the primary air quantity, the current and the outlet air-powder mixing temperature of the coal mill to be tested.
Optionally, the early warning module is specifically configured to:
if the deviation between the actual measured value of the pressure difference between the inlet and the outlet of the coal mill to be tested and the predicted value of the pressure difference between the inlet and the outlet is greater than a preset deviation threshold value, determining that the coal mill to be tested is blocked currently;
otherwise, determining that the coal mill to be tested is not blocked currently;
the coal blockage early warning result of the coal mill to be detected comprises that coal blockage occurs at present in the coal mill to be detected and coal blockage does not occur in the coal mill to be detected.
Optionally, the apparatus further comprises:
the reason analysis module is used for acquiring the current hydraulic loading force of the coal mill to be detected when the coal blockage early warning result of the coal mill to be detected indicates that the coal blockage of the coal mill to be detected currently occurs; determining the target hydraulic loading force of the coal mill to be tested according to the coal feeding amount in the current operation index; and judging whether the coal blockage reason of the coal mill to be detected comprises insufficient hydraulic loading force according to the difference value between the current hydraulic loading force and the target hydraulic loading force of the coal mill to be detected.
Optionally, the reason analyzing module is further configured to:
when the coal blockage early warning result of the coal mill to be detected indicates that coal blockage occurs at present in the coal mill to be detected, acquiring a current primary air quantity set value of the coal mill to be detected;
determining a primary air volume target set value of the coal mill to be tested according to the coal feeding amount in the current operation index;
and judging whether the coal blockage reason of the coal mill to be detected comprises insufficient primary air quantity or not according to the difference value between the current primary air quantity set value and the target primary air quantity set value of the coal mill to be detected.
Optionally, the reason analyzing module is specifically configured to:
and if the difference value between the current primary air volume set value and the target primary air volume set value of the coal mill to be detected is smaller than a preset set value deviation threshold value, and the difference value between the current primary air volume set value and the actual primary air volume measured value represented by the current operation index is larger than a preset actual measured value deviation threshold value, determining that the coal blockage reason of the coal mill to be detected comprises insufficient primary air volume.
Optionally, the reason analyzing module is further configured to:
when the coal blockage early warning result of the coal mill to be detected indicates that coal blockage occurs at present in the coal mill to be detected, acquiring the current motor frequency of the coal mill to be detected;
and judging whether the coal blockage reason of the coal mill to be detected comprises insufficient motor frequency according to the magnitude relation between the current motor frequency and the standard motor frequency of the coal mill to be detected.
A third aspect of the present application provides an electronic device, comprising: at least one processor and memory;
the memory stores computer-executable instructions;
the at least one processor executes computer-executable instructions stored by the memory to cause the at least one processor to perform the method as set forth in the first aspect above and in various possible designs of the first aspect.
A fourth aspect of the present application provides a computer-readable storage medium having stored thereon computer-executable instructions that, when executed by a processor, implement a method as set forth in the first aspect and various possible designs of the first aspect.
This application technical scheme has following advantage:
the application provides a coal mill coal blockage early warning method, a coal mill coal blockage early warning device, electronic equipment and a storage medium, wherein the method comprises the following steps: acquiring historical operating data of a coal mill to be tested; establishing an inlet-outlet pressure difference prediction model of the coal mill to be tested based on the relation between the inlet-outlet pressure difference of the coal mill to be tested and other operation indexes reflected by historical operation data; monitoring the current operation index of the coal mill to be tested, and inputting the current operation index into an inlet-outlet pressure difference prediction model to obtain a corresponding inlet-outlet pressure difference prediction value; and determining a coal blockage early warning result of the coal mill to be detected according to the deviation between the actual measured value of the pressure difference between the inlet and the outlet of the coal mill to be detected and the predicted value of the pressure difference between the inlet and the outlet. According to the method provided by the scheme, the historical operation data of the coal mill to be tested is utilized to construct the inlet-outlet pressure difference prediction model, the inlet-outlet pressure difference under the normal operation condition of the coal mill to be tested is predicted by the model, whether the coal blockage phenomenon of the coal mill to be tested exists or not is judged according to the deviation between the predicted value and the measured value of the inlet-outlet pressure difference, the coal blockage risk of the coal mill to be tested is discovered in time, and a foundation is laid for improving the coal blockage treatment efficiency of the coal mill.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the embodiments or the prior art descriptions will be briefly described below, it is obvious that the drawings in the following descriptions are some embodiments of the present application, and other drawings can be obtained by those skilled in the art according to these drawings.
FIG. 1 is a schematic structural diagram of a coal mill coal blockage early warning system based on an embodiment of the present application;
fig. 2 is a schematic flow chart of a coal mill coal blockage early warning method provided in an embodiment of the present application;
FIG. 3 is a logic diagram for determining the coal pulverizer coal blockage reason according to an embodiment of the present disclosure;
fig. 4 is a schematic structural diagram of a coal mill coal blockage early warning device provided in an embodiment of the present application;
fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
With the above figures, there are shown specific embodiments of the present application, which will be described in more detail below. These drawings and written description are not intended to limit the scope of the disclosed concepts in any way, but rather to illustrate the concepts of the disclosure to those skilled in the art by reference to specific embodiments.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, 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, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Furthermore, the terms "first", "second", etc. are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. In the description of the following examples, "plurality" means two or more unless specifically limited otherwise.
In the prior art, an operation manager usually judges whether coal blockage occurs in a coal mill manually, and because coal blockage of the coal mill is a gradual accumulation process, if the coal blockage is discovered in time at an early stage of the coal mill, the change of each parameter needs to be paid attention to all the time and parameter values under all working conditions are deeply known, so that the difficulty is too high for the operator, and the coal blockage is often serious when the operation manager discovers the coal blockage, and the optimal control opportunity is missed.
In order to solve the problems, the coal mill coal blockage early warning method, the device, the electronic equipment and the storage medium provided by the embodiment of the application acquire historical operation data of a coal mill to be detected; establishing an inlet-outlet pressure difference prediction model of the coal mill to be tested based on the relation between the inlet-outlet pressure difference of the coal mill to be tested and other operation indexes reflected by historical operation data; monitoring the current operation index of the coal mill to be tested, and inputting the current operation index into an inlet-outlet pressure difference prediction model to obtain a corresponding inlet-outlet pressure difference prediction value; and determining a coal blockage early warning result of the coal mill to be tested according to the deviation between the actual inlet-outlet pressure difference measured value and the predicted inlet-outlet pressure difference value of the coal mill to be tested. According to the method provided by the scheme, the historical operation data of the coal mill to be detected is utilized to construct the inlet and outlet pressure difference prediction model, the inlet and outlet pressure difference under the normal operation condition of the coal mill to be detected is predicted by utilizing the model, whether the coal blockage sign exists in the coal mill to be detected is judged according to the deviation between the predicted value and the measured value of the inlet and outlet pressure difference, the coal blockage risk of the coal mill to be detected is discovered in time, and a foundation is laid for improving the coal blockage treatment efficiency of the coal mill.
The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments. Embodiments of the present invention will be described below with reference to the accompanying drawings.
Firstly, explain the structure of the coal mill coal blockage early warning system based on this application:
the coal pulverizer coal blockage early warning method and device, the electronic device and the storage medium are suitable for early warning of coal blockage faults of the coal pulverizer. As shown in fig. 1, the schematic structural diagram of a coal pulverizer coal blockage early warning system according to the embodiment of the present application mainly includes a data acquisition device, a coal pulverizer, and a coal pulverizer coal blockage early warning device for early warning a coal blockage fault of the coal pulverizer. Specifically, the current operation index and the actual measured value of the inlet/outlet pressure difference of the coal mill can be acquired based on the data acquisition device, and the acquired data is sent to the coal mill coal blockage early warning device, the device predicts the inlet/outlet pressure difference of the coal mill according to the current operation index of the coal mill based on the deployed inlet/outlet pressure difference prediction model, and determines the coal blockage early warning result of the coal mill by comparing the inlet/outlet pressure difference actual measured value with the actual measured value of the inlet/outlet pressure difference.
The embodiment of the application provides a coal blockage early warning method for a coal mill, which is used for early warning the coal blockage fault of the coal mill. The execution main body of the embodiment of the application is electronic equipment, such as a server, a desktop computer, a notebook computer, a tablet computer and other electronic equipment which can be used for early warning the coal blockage fault of the coal mill.
As shown in fig. 2, a schematic flow chart of a coal pulverizer coal blockage warning method provided in the embodiment of the present application is shown, where the method includes:
Specifically, historical operation data of the coal mill to be tested in the past years can be obtained, and the historical operation data comprises various operation indexes of the coal mill to be tested at different times.
The other operation indexes can comprise the coal feeding amount, the primary air quantity, the current and the outlet air-powder mixing temperature of the coal mill to be detected.
Specifically, an inlet-outlet pressure difference prediction model of the coal mill to be tested can be constructed based on one or more mixed algorithms such as a convolutional neural network, a deep neural network and a genetic algorithm.
And 203, monitoring the current operation index of the coal mill to be tested, and inputting the current operation index into the inlet-outlet pressure difference prediction model to obtain a corresponding inlet-outlet pressure difference prediction value.
The current operation index comprises the current coal feeding amount, the primary air quantity, the current and the outlet air-powder mixing temperature of the coal mill to be tested.
Specifically, based on the inlet-outlet pressure difference prediction model Δ P ═ f (G, Q, I, T), the corresponding inlet-outlet pressure difference prediction value Δ P may be determined according to the coal feeding amount G, the primary air amount Q, the current I, and the outlet air-powder mixing temperature T in the current operation index.
And 204, determining a coal blockage early warning result of the coal mill to be detected according to the deviation between the actual measured value of the pressure difference between the inlet and the outlet of the coal mill to be detected and the predicted value of the pressure difference between the inlet and the outlet.
It should be noted that the measured value of the inlet/outlet pressure difference of the coal mill to be tested represents the inlet/outlet pressure difference corresponding to the current coal feeding amount, the primary air volume, the current and the outlet air-powder mixing temperature under the normal operation condition, and the measured value of the inlet/outlet pressure difference is the current actual inlet/outlet pressure difference of the coal mill to be tested.
Specifically, in an embodiment, if a deviation between an actual measured value of the pressure difference between the inlet and outlet of the coal mill to be tested and a predicted value of the pressure difference between the inlet and outlet is greater than a preset deviation threshold, it is determined that coal blockage occurs at present in the coal mill to be tested; otherwise, determining that the coal mill to be tested is not blocked currently.
The coal blockage early warning result of the coal mill to be detected comprises the current coal blockage of the coal mill to be detected and the current coal blockage of the coal mill to be detected. The preset deviation threshold value can be set to be 20% of the predicted value of the pressure difference between the inlet and the outlet, and can be specifically set according to the actual situation, and the embodiment of the application is not limited.
Further, if it is determined that the coal mill to be tested is blocked at present, a corresponding coal mill coal blocking early warning signal is generated and sent.
On the basis of the foregoing embodiment, as an implementable manner, in an embodiment, the constructing a model for predicting a pressure difference between an inlet and an outlet of a coal mill to be tested based on a relationship between a pressure difference between the inlet and the outlet of the coal mill to be tested and other operation indexes, which is embodied by historical operation data, includes:
step 2021, screening operation data under a target working condition from the historical operation data, and preprocessing the operation data to obtain a model training sample set;
step 2022, inputting the model training sample set into a preset initial inlet/outlet pressure difference prediction model, and training the initial inlet/outlet pressure difference prediction model based on the relation between the inlet/outlet pressure difference of the coal mill to be tested and other operation indexes, which is embodied by the model training sample set, to obtain the inlet/outlet pressure difference prediction model of the coal mill to be tested.
Specifically, practical operation data of the coal mill to be tested in recent years can be exported in a file form through a big data platform to serve as historical operation data of the coal mill to be tested, and the historical operation data comprises all-working-condition operation information of the coal mill to be tested. And then, historical operating data of the coal mill to be tested with the current less than 5A are removed, so that data under the working conditions of shutdown and maintenance of the coal mill are removed, and operating data under the target working conditions of the coal mill are obtained. Furthermore, preprocessing such as denoising, redundancy removal and normalization is carried out on the operation data to obtain a model training sample set, and meanwhile, a model testing sample set is obtained.
Specifically, a standard normalization method can be selected to normalize the operation data into a model training sample set with a mean value of 0 and a variance of 1, wherein the normalization formula is as shown in the formula
Further, an initial inlet and outlet pressure difference prediction model is trained based on the relation between the inlet and outlet pressure difference of the coal mill to be tested and other operation indexes, which is embodied by a model training sample set, so as to obtain a trained inlet and outlet pressure difference prediction model, then model testing is carried out on the trained inlet and outlet pressure difference prediction model based on the model testing sample set, and if the deviation between the prediction result and the real result is represented by the test result, the training is stopped, so as to obtain the inlet and outlet pressure difference prediction model of the coal mill to be tested; otherwise, training is continued.
On the basis of the foregoing embodiment, in order to further improve the coal pulverizer coal blockage treatment efficiency, as an implementable manner, in an embodiment, the method further includes:
301, when a coal blockage early warning result of the coal mill to be detected indicates that coal blockage occurs at present in the coal mill to be detected, acquiring a current hydraulic loading force of the coal mill to be detected;
step 302, determining a target hydraulic loading force of the coal mill to be tested according to the coal feeding amount in the current operation index;
and 303, judging whether the coal blockage reason of the coal mill to be detected comprises insufficient hydraulic loading force according to the difference value between the current hydraulic loading force and the target hydraulic loading force of the coal mill to be detected.
Specifically, when the difference between the current hydraulic loading force and the target hydraulic loading force of the coal mill to be tested reaches 2MPa, that is, the current hydraulic loading force is smaller than the target hydraulic loading force by more than 2MPa, the coal blockage reason of the coal mill to be tested including the lack of the hydraulic loading force can be determined. At the moment, the coal blockage reason can be pushed to corresponding operation management personnel, and a corresponding treatment scheme is pushed: please immediately increase the hydraulic loading force, reduce the coal feeding amount, increase the primary air amount, and enhance the pebble coal discharge.
Similarly, in an embodiment, when the coal blockage early warning result of the coal mill to be detected indicates that coal blockage occurs at present in the coal mill to be detected, the current set value of the primary air quantity of the coal mill to be detected can be obtained; determining a primary air volume target set value of the coal mill to be tested according to the coal feeding amount in the current operation index; and judging whether the coal blockage reason of the coal mill to be detected comprises insufficient primary air quantity or not according to the difference value between the current primary air quantity set value and the target primary air quantity set value of the coal mill to be detected.
Specifically, when the difference value between the current primary air volume set value and the target primary air volume set value of the coal mill to be tested reaches 10t/h, namely the current primary air volume set value is smaller than the target primary air direction set value by more than 10t/h, the coal blockage reason of the coal mill to be tested including insufficient primary air volume can be determined. At the moment, the coal blockage reason can be pushed to corresponding operation management personnel, and a corresponding treatment scheme is pushed: please immediately increase the primary air quantity set value, reduce the coal supply quantity, and enhance the pebble coal discharge.
Specifically, in an embodiment, if the difference between the current primary air volume set value and the target primary air volume set value of the coal mill to be tested is smaller than the preset set value deviation threshold, and the difference between the current primary air volume set value and the actual primary air volume measured value represented by the current operation index is larger than the preset actual measured value deviation threshold, it is determined that the coal blockage reason of the coal mill to be tested includes insufficient primary air volume.
It should be noted that, in practical applications, there may be a situation where the current set value of the primary air volume is sufficient, but for other reasons, the final output primary air volume does not meet the set standard.
Specifically, when the difference between the current primary air volume set value and the target primary air volume set value of the coal mill to be tested is less than 5t/h, that is, the difference does not reach 10t/h, but the difference between the current primary air volume set value and the actual primary air volume measured value represented by the current operation index is greater than a preset actual measured value deviation threshold value, that is, the deviation between the current primary air volume set value and the actual measured value is relatively large, and if the difference reaches 10t/h, it is determined that the coal blockage reason of the coal mill to be tested includes insufficient primary air volume. At the moment, the coal blockage reason can be pushed to corresponding operation management personnel, and a corresponding treatment scheme is pushed: please immediately increase the primary air pressure, check whether the cold and hot air adjusting valve of the coal mill is normal, reduce the coal feeding amount, and enhance the pebble coal discharge.
Similarly, in an embodiment, when the coal blockage early warning result of the coal mill to be detected indicates that coal blockage occurs at present in the coal mill to be detected, the current motor frequency of the coal mill to be detected can be obtained; and judging whether the coal blockage reason of the coal mill to be detected comprises insufficient motor frequency according to the size relation between the current motor frequency and the standard motor frequency of the coal mill to be detected.
Specifically, when the current motor frequency of the coal mill to be tested is lower than 30Hz, the coal blockage reason of the coal mill to be tested including insufficient motor frequency can be determined. At the moment, the coal blockage reason can be pushed to corresponding operation management personnel, and a corresponding treatment scheme is pushed: immediately raising the frequency of the coal mill, reducing the coal feeding amount, raising the primary air quantity, strengthening and monitoring the main parameters of the boiler, preventing the negative pressure fluctuation of the hearth from being large, preventing the boiler from being over-temperature and over-pressure, and strengthening the pebble coal emission.
Specifically, in an embodiment, if the coal blockage reason of the coal mill to be detected cannot be determined by the coal blockage reason determination method provided by the above embodiment, it may be determined that coal blockage is caused by a coal quality problem, and at this time, a treatment scheme may be pushed: please check whether the grindability and water content of the coal are changed and check the discharge of the pebble coal.
Illustratively, as shown in fig. 3, a logic diagram for determining the coal blockage reason of the coal mill provided by the embodiment of the present application is provided. SUB represents the difference calculation, LT represents lower, GT represents higher, TON represents that the result is output according to a preset period, as shown in FIG. 3, the preset period is 10s, and whether the coal blockage cause judgment logic is established or not is detected. And if the logic is established and a coal blockage early warning signal of the coal mill is received, pushing the current coal blockage reason judgment result and the corresponding treatment scheme to relevant operation management personnel. Wherein, the coal pulverizer coal blockage probably has multiple coal blockage reason simultaneously, will be so simultaneously to operation managers propelling a plurality of treatment schemes.
According to the coal mill coal blockage early warning method provided by the embodiment of the application, historical operation data of a coal mill to be detected is obtained; establishing an inlet-outlet pressure difference prediction model of the coal mill to be tested based on the relation between the inlet-outlet pressure difference of the coal mill to be tested and other operation indexes reflected by historical operation data; monitoring the current operation index of the coal mill to be tested, and inputting the current operation index into an inlet-outlet pressure difference prediction model to obtain a corresponding inlet-outlet pressure difference prediction value; and determining a coal blockage early warning result of the coal mill to be detected according to the deviation between the actual measured value of the pressure difference between the inlet and the outlet of the coal mill to be detected and the predicted value of the pressure difference between the inlet and the outlet. According to the method provided by the scheme, the historical operation data of the coal mill to be tested is utilized to construct the inlet-outlet pressure difference prediction model, the inlet-outlet pressure difference under the normal operation condition of the coal mill to be tested is predicted by the model, whether the coal blockage phenomenon of the coal mill to be tested exists or not is judged according to the deviation between the predicted value and the measured value of the inlet-outlet pressure difference, the coal blockage risk of the coal mill to be tested is discovered in time, and a foundation is laid for improving the coal blockage treatment efficiency of the coal mill. And the coal blockage reason is analyzed according to each parameter of the coal mill, finally, an alarm is given to an operation manager, and a treatment suggestion is given according to the coal blockage reason, so that the coal blockage treatment efficiency of the coal mill is further improved.
The embodiment of the application provides a coal mill coal blockage early warning device, which is used for executing the coal mill coal blockage early warning method provided by the embodiment.
Fig. 4 is a schematic structural diagram of the coal blockage warning device for the coal mill provided in the embodiment of the present application. This coal pulverizer coal blockage early warning device 40 includes: an acquisition module 401, a model construction module 402, a monitoring module 403 and an early warning module 404.
The acquisition module is used for acquiring historical operating data of the coal mill to be tested; the model building module is used for building an inlet-outlet pressure difference prediction model of the coal mill to be tested based on the relation between the inlet-outlet pressure difference of the coal mill to be tested and other operation indexes reflected by historical operation data; the monitoring module is used for monitoring the current operation index of the coal mill to be tested and inputting the current operation index into the inlet-outlet pressure difference prediction model to obtain a corresponding inlet-outlet pressure difference prediction value; and the early warning module is used for determining a coal blockage early warning result of the coal mill to be tested according to the deviation between the actual measured value of the pressure difference between the inlet and the outlet of the coal mill to be tested and the predicted value of the pressure difference between the inlet and the outlet.
Specifically, in an embodiment, the model building module is specifically configured to:
screening operation data under a target working condition from historical operation data, and preprocessing the operation data to obtain a model training sample set;
inputting the model training sample set into a preset initial inlet-outlet pressure difference prediction model, training the initial inlet-outlet pressure difference prediction model based on the relation between the inlet-outlet pressure difference of the coal mill to be tested and other operation indexes, and obtaining the inlet-outlet pressure difference prediction model of the coal mill to be tested;
and the other operation indexes and the current operation index at least comprise the coal feeding amount, the primary air quantity, the current and the outlet air-powder mixing temperature of the coal mill to be tested.
Specifically, in an embodiment, the early warning module is specifically configured to:
if the deviation between the actual measured value of the pressure difference between the inlet and the outlet of the coal mill to be detected and the predicted value of the pressure difference between the inlet and the outlet is larger than a preset deviation threshold value, determining that the coal mill to be detected is blocked currently;
otherwise, determining that the coal mill to be tested is not blocked currently;
the coal blockage early warning result of the coal mill to be detected comprises the current coal blockage of the coal mill to be detected and the current coal blockage of the coal mill to be detected.
Specifically, in one embodiment, the apparatus further comprises:
the reason analysis module is used for acquiring the current hydraulic loading force of the coal mill to be detected when the coal blockage early warning result of the coal mill to be detected indicates that the coal blockage of the coal mill to be detected currently occurs; determining the target hydraulic loading force of the coal mill to be tested according to the coal feeding amount in the current operation index; and judging whether the coal blockage reason of the coal mill to be detected comprises insufficient hydraulic loading force according to the difference value between the current hydraulic loading force and the target hydraulic loading force of the coal mill to be detected.
Specifically, in an embodiment, the reason analyzing module is further configured to:
when the coal blockage early warning result of the coal mill to be detected indicates that coal blockage occurs at present in the coal mill to be detected, acquiring a current set value of primary air quantity of the coal mill to be detected;
determining a primary air volume target set value of the coal mill to be tested according to the coal feeding amount in the current operation index;
and judging whether the coal blockage reason of the coal mill to be detected comprises insufficient primary air quantity or not according to the difference value between the current primary air quantity set value and the target primary air quantity set value of the coal mill to be detected.
Specifically, in an embodiment, the reason analysis module is specifically configured to:
and if the difference value between the current primary air volume set value and the target primary air volume set value of the coal mill to be tested is smaller than a preset set value deviation threshold value, and the difference value between the current primary air volume set value and the actual primary air volume measured value represented by the current operation index is larger than a preset actual measured value deviation threshold value, determining that the coal blockage reason of the coal mill to be tested comprises insufficient primary air volume.
Specifically, in an embodiment, the reason analyzing module is further configured to:
when the coal blockage early warning result of the coal mill to be detected indicates that coal blockage occurs at present in the coal mill to be detected, acquiring the current motor frequency of the coal mill to be detected;
and judging whether the coal blockage reason of the coal mill to be detected comprises insufficient motor frequency according to the magnitude relation between the current motor frequency and the standard motor frequency of the coal mill to be detected.
With respect to the coal pulverizer coal jam warning device in the present embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated here.
The coal pulverizer coal blockage early warning device that this application embodiment provided for carry out the coal pulverizer coal blockage early warning method that above-mentioned embodiment provided, its implementation is the same with the principle, and no longer the repeated description.
The embodiment of the application provides electronic equipment for executing the coal blockage early warning method for the coal mill.
Fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present application. The electronic device 50 includes: at least one processor 51 and a memory 52.
The memory stores computer-executable instructions; the at least one processor executes computer-executable instructions stored in the memory, so that the at least one processor executes the coal pulverizer coal jam warning method provided by the above embodiment.
The electronic equipment provided by the embodiment of the application is used for executing the coal pulverizer coal blockage early warning method provided by the embodiment, the implementation mode and the principle of the electronic equipment are the same, and repeated description is omitted.
The embodiment of the application provides a computer-readable storage medium, wherein a computer executing instruction is stored in the computer-readable storage medium, and when a processor executes the computer executing instruction, the coal blockage early warning method for a coal mill provided by any one of the above embodiments is implemented.
The storage medium containing the computer-executable instructions of the embodiment of the application can be used for storing the computer-executable instructions of the coal pulverizer coal blockage early warning method provided in the foregoing embodiment, and the implementation manner and the principle thereof are the same and are not described in detail again.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical 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 place, or may be distributed on a plurality of 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, or in a form of hardware plus a software functional unit.
The integrated unit implemented in the form of a software functional unit may be stored in a computer readable storage medium. The software functional unit is stored in a storage medium and includes several instructions to enable a computer device (which may be a personal computer, a server, or a network device) or a processor (processor) to execute some steps of the methods according to the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
It is obvious to those skilled in the art that, for convenience and simplicity of description, the foregoing division of the functional modules is merely used as an example, and in practical applications, the above function distribution may be performed by different functional modules as needed, that is, the internal structure of the device is divided into different functional modules to perform all or part of the above described functions. For the specific working process of the device described above, reference may be made to the corresponding process in the foregoing method embodiment, which is not described herein again.
Finally, it should be noted that: the above embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present application.
Claims (10)
1. A coal mill coal blockage early warning method is characterized by comprising the following steps:
acquiring historical operating data of a coal mill to be tested;
establishing an inlet-outlet pressure difference prediction model of the coal mill to be tested based on the relation between the inlet-outlet pressure difference of the coal mill to be tested and other operation indexes reflected by the historical operation data;
monitoring the current operation index of the coal mill to be tested, and inputting the current operation index into the inlet-outlet pressure difference prediction model to obtain a corresponding inlet-outlet pressure difference prediction value;
and determining a coal blockage early warning result of the coal mill to be tested according to the deviation between the inlet and outlet pressure difference measured value and the inlet and outlet pressure difference predicted value of the coal mill to be tested.
2. The method of claim 1, wherein the constructing a model for predicting the pressure difference between the inlet and the outlet of the coal mill under test based on the relationship between the pressure difference between the inlet and the outlet of the coal mill under test and other operation indexes, as represented by the historical operation data, comprises:
screening operation data under a target working condition from the historical operation data, and preprocessing the operation data to obtain a model training sample set;
inputting the model training sample set into a preset initial inlet-outlet pressure difference prediction model, and training the initial inlet-outlet pressure difference prediction model based on the relation between the inlet-outlet pressure difference of the coal mill to be tested and other operation indexes, which is embodied by the model training sample set, to obtain an inlet-outlet pressure difference prediction model of the coal mill to be tested;
and the other operation indexes and the current operation index at least comprise the coal feeding amount, the primary air quantity, the current and the outlet air-powder mixing temperature of the coal mill to be tested.
3. The method of claim 1, wherein the determining the coal blockage warning result of the coal mill to be tested according to the deviation between the actual measured value of the pressure difference between the inlet and the outlet of the coal mill to be tested and the predicted value of the pressure difference between the inlet and the outlet comprises:
if the deviation between the actual measured value of the pressure difference between the inlet and the outlet of the coal mill to be detected and the predicted value of the pressure difference between the inlet and the outlet is larger than a preset deviation threshold value, determining that the coal mill to be detected is blocked currently;
otherwise, determining that the coal mill to be tested is not blocked currently;
the coal blockage early warning result of the coal mill to be detected comprises that coal blockage occurs at present in the coal mill to be detected and coal blockage does not occur in the coal mill to be detected.
4. The method of claim 1, further comprising:
when the coal blockage early warning result of the coal mill to be detected indicates that coal blockage occurs at present in the coal mill to be detected, acquiring the current hydraulic loading force of the coal mill to be detected;
determining a target hydraulic loading force of the coal mill to be tested according to the coal feeding amount in the current operation index;
and judging whether the coal blockage reason of the coal mill to be detected comprises insufficient hydraulic loading force according to the difference value between the current hydraulic loading force and the target hydraulic loading force of the coal mill to be detected.
5. The method of claim 1, further comprising:
when the coal blockage early warning result of the coal mill to be detected indicates that coal blockage occurs at present in the coal mill to be detected, acquiring a current primary air quantity set value of the coal mill to be detected;
determining a primary air volume target set value of the coal mill to be tested according to the coal feeding amount in the current operation index;
and judging whether the coal blockage reason of the coal mill to be detected comprises insufficient primary air quantity or not according to the difference value between the current primary air quantity set value and the target primary air quantity set value of the coal mill to be detected.
6. The method of claim 5, wherein the determining whether the coal blockage cause of the coal mill to be tested comprises insufficient primary air volume according to the difference between the current primary air volume set value and the target primary air volume set value of the coal mill to be tested comprises:
and if the difference value between the current primary air volume set value and the target primary air volume set value of the coal mill to be detected is smaller than a preset set value deviation threshold value, and the difference value between the current primary air volume set value and the actual primary air volume measured value represented by the current operation index is larger than a preset actual measured value deviation threshold value, determining that the coal blockage reason of the coal mill to be detected comprises insufficient primary air volume.
7. The method of claim 1, further comprising:
when the coal blockage early warning result of the coal mill to be detected indicates that coal blockage occurs at present in the coal mill to be detected, acquiring the current motor frequency of the coal mill to be detected;
and judging whether the coal blockage reason of the coal mill to be detected comprises insufficient motor frequency according to the magnitude relation between the current motor frequency and the standard motor frequency of the coal mill to be detected.
8. The utility model provides a coal pulverizer coal blockage early warning device which characterized in that includes:
the acquisition module is used for acquiring historical operating data of the coal mill to be tested;
the model building module is used for building an inlet-outlet pressure difference prediction model of the coal mill to be detected based on the relation between the inlet-outlet pressure difference of the coal mill to be detected and other operation indexes reflected by the historical operation data;
the monitoring module is used for monitoring the current operation index of the coal mill to be tested and inputting the current operation index into the inlet-outlet pressure difference prediction model to obtain a corresponding inlet-outlet pressure difference prediction value;
and the early warning module is used for determining a coal blockage early warning result of the coal mill to be tested according to the deviation between the actual measured value of the pressure difference between the inlet and the outlet of the coal mill to be tested and the predicted value of the pressure difference between the inlet and the outlet.
9. An electronic device, comprising: at least one processor and memory;
the memory stores computer-executable instructions;
the at least one processor executing the computer-executable instructions stored by the memory causes the at least one processor to perform the method of any of claims 1-7.
10. A computer-readable storage medium having stored thereon computer-executable instructions which, when executed by a processor, implement the method of any one of claims 1 to 7.
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