Early warning method and device for hydraulic loading system of coal mill and electronic equipment

Abstract

The application provides a kind of early warning method, device and electronic equipment of hydraulic loading system of coal mill, related to coal-fired power plant equipment fault intelligent diagnosis technical field.The method comprises: in response to the hydraulic loading system of coal mill being in variable loading state, the proportional overflow valve opening value and the hydraulic loading pressure value of the hydraulic loading system of coal mill at the current acquisition time are acquired;The proportional overflow valve opening value is input into the preset hydraulic loading pressure prediction model, and the corresponding hydraulic loading pressure prediction value is obtained;According to the hydraulic loading pressure value and the hydraulic loading pressure prediction value, it is determined whether the hydraulic loading system of coal mill exists fault;In response to the hydraulic loading system of coal mill existing fault, the fault early warning information of the hydraulic loading system of coal mill is generated.The scheme can timely carry out fault early warning to hydraulic loading system, prompt relevant personnel to carry out fault handling, to guarantee the safe operation of unit.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of intelligent diagnosis of coal-fired power plant equipment, and in particular to a coal mill hydraulic loading system early warning method and device and electronic equipment. BACKGROUND

[0002] Generally, the coal mill hydraulic loading system adjusts the hydraulic loading pressure by adjusting the opening degree of the proportional overflow valve to adapt to the coal supply quantity change requirement. Due to the harsh field operating environment and variable working conditions, the hydraulic loading system often fails during operation, resulting in mismatch between the hydraulic loading pressure and the coal supply quantity, and further causing safety hazards such as coal mill blockage and large vibration. Therefore, early detection and early treatment of hydraulic loading system failures are of great significance to ensure stable operation of the unit. SUMMARY

[0003] To solve the above problems, the present application provides a coal mill hydraulic loading system early warning method, device and electronic equipment.

[0004] According to a first aspect of the present application, a coal mill hydraulic loading system early warning method is provided, characterized in that it comprises:

[0005] In response to the coal mill hydraulic loading system being in a variable loading state, the proportional overflow valve opening degree value and the hydraulic loading pressure value of the coal mill hydraulic loading system are sampled at a preset first time interval to obtain the proportional overflow valve opening degree value and the hydraulic loading pressure value at the current sampling time;

[0006] The proportional overflow valve opening degree value at the current sampling time is input into a preset hydraulic loading pressure prediction model to obtain a hydraulic loading pressure prediction value at the current sampling time; wherein the hydraulic loading pressure prediction model has learned the ability to predict the corresponding hydraulic loading pressure value based on the proportional overflow valve opening degree value of the coal mill hydraulic loading system;

[0007] According to the hydraulic loading pressure value and the hydraulic loading pressure prediction value at the current sampling time, it is determined whether the coal mill hydraulic loading system has a fault;

[0008] In response to the coal mill hydraulic loading system having a fault, fault early warning information of the coal mill hydraulic loading system is generated.

[0009] In some embodiments of the present application, the determination of whether the coal mill hydraulic loading system has a fault according to the hydraulic loading pressure value and the hydraulic loading pressure prediction value at the current sampling time comprises:

[0010] determine a first deviation value between the hydraulic loading pressure value at the current collection time and the hydraulic loading pressure prediction value according to the hydraulic loading pressure value at the current collection time and the hydraulic loading pressure prediction value;

[0011] determine whether the hydraulic loading system of the coal mill is faulty according to the first deviation value.

[0012] The method further comprises:

[0013] continue to sample the proportional overflow valve opening value and the hydraulic loading pressure value at a preset second time interval in response to the first deviation value being greater than a preset threshold value, wherein the second time interval is less than the first time interval;

[0014] input the proportional overflow valve opening value collected at the second time interval into the hydraulic loading pressure prediction model to obtain a corresponding hydraulic loading pressure prediction value, and determine a second deviation value between the hydraulic loading pressure value collected at the second time interval and the corresponding hydraulic loading pressure prediction value;

[0015] determine that the hydraulic loading system of the coal mill is faulty in response to the second deviation values in a continuous preset time period all being greater than the threshold value;

[0016] return to the step of sampling the proportional overflow valve opening value and the hydraulic loading pressure value of the hydraulic loading system of the coal mill at the preset first time interval in response to the second deviation values in a continuous preset time period being less than or equal to the threshold value.

[0017] The method further comprises:

[0018] obtain the hydraulic oil pump current value, the variable loading signal and the hydraulic directional valve signal of the hydraulic loading system of the coal mill in real time;

[0019] determine that the hydraulic loading system of the coal mill is in a variable loading working state in response to the hydraulic oil pump current value, the variable loading signal and the hydraulic directional valve signal all satisfying a preset variable loading condition.

[0020] According to a second aspect of the present application, a pre-warning device for a hydraulic loading system of a coal mill is provided, comprising:

[0021] a first obtaining module, configured to sample the proportional overflow valve opening value and the hydraulic loading pressure value of the hydraulic loading system of the coal mill at a preset first time interval to obtain the proportional overflow valve opening value and the hydraulic loading pressure value at a current collection time in response to the hydraulic loading system of the coal mill being in a variable loading working state;

[0022] a prediction module, configured to input the proportional overflow valve opening value at the current collection time into a preset hydraulic loading pressure prediction model to obtain a hydraulic loading pressure prediction value at the current collection time, wherein the hydraulic loading pressure prediction model has learned the ability to predict the corresponding hydraulic loading pressure value based on the proportional overflow valve opening value of the coal mill hydraulic loading system;

[0023] a first determination module, configured to determine whether the coal mill hydraulic loading system has a fault according to the hydraulic loading pressure value and the hydraulic loading pressure prediction value at the current collection time;

[0024] a generation module, configured to generate fault warning information of the coal mill hydraulic loading system in response to the fact that the coal mill hydraulic loading system has a fault.

[0025] In some embodiments of the present application, the first determination module is specifically configured to:

[0026] determine a first deviation value between the hydraulic loading pressure value and the hydraulic loading pressure prediction value at the current collection time according to the hydraulic loading pressure value and the hydraulic loading pressure prediction value at the current collection time;

[0027] determine whether the coal mill hydraulic loading system has a fault according to the first deviation value.

[0028] As a possible implementation manner, the first determination module is specifically configured to:

[0029] in response to the fact that the first deviation value is greater than a preset threshold value, continue to sample the proportional overflow valve opening value and the hydraulic loading pressure value at a preset second time interval, wherein the second time interval is less than the first time interval;

[0030] input the proportional overflow valve opening value sampled at the second time interval into the hydraulic loading pressure prediction model to obtain the corresponding hydraulic loading pressure prediction value, and determine a second deviation value between the hydraulic loading pressure value sampled at the second time interval and the corresponding hydraulic loading pressure prediction value;

[0031] in response to the fact that the second deviation values in a continuous preset time period are all greater than the threshold value, determine that the coal mill hydraulic loading system has a fault;

[0032] The first acquisition module is further configured to sample the proportional overflow valve opening value and the hydraulic loading pressure value of the coal mill hydraulic loading system at the first time interval in response to the fact that the second deviation values in the continuous preset time period are less than or equal to the threshold value.

[0033] In some embodiments of the present application, the device further comprises:

[0034] The second acquisition module is configured to acquire, in real time, a hydraulic oil pump current value, a variable loading signal and a hydraulic directional valve signal of the hydraulic loading system of the coal mill.

[0035] The second determination module is configured to determine that the hydraulic loading system of the coal mill is in a variable loading working state in response to the hydraulic oil pump current value, the variable loading signal and the hydraulic directional valve signal all satisfying a preset variable loading condition.

[0036] According to a third aspect of the present application, an electronic device is provided, comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the method of the first aspect when executing the program.

[0037] According to a fourth aspect of the present application, a computer readable storage medium is provided, which stores a computer program, wherein the program is executable by a processor to implement the method of the first aspect.

[0038] According to the technical solution of the present application, when the hydraulic loading system of the coal mill is in a variable loading working state, the proportional overflow valve opening value and the hydraulic loading pressure value at the current acquisition time are acquired, the corresponding hydraulic loading pressure prediction value is obtained based on a preset hydraulic loading pressure prediction model, and whether the hydraulic loading system of the coal mill has a fault is determined according to the hydraulic loading pressure value and the hydraulic loading pressure prediction value, and the corresponding fault warning information is generated when there is a fault. In this way, the hydraulic loading pressure prediction value corresponding to the proportional overflow valve opening value at the current time can be obtained based on the hydraulic loading pressure prediction model, and the hydraulic loading system can be timely warned of a fault to prompt relevant personnel to handle the fault, so that the hydraulic loading pressure can be matched with the coal quantity in time, thereby ensuring the safe operation of the unit and avoiding some safety accidents.

[0039] Additional aspects and advantages of the present application will be in part apparent and in part pointed out hereinafter. BRIEF DESCRIPTION OF DRAWINGS

[0040] The above and / or additional aspects and advantages of the present application will become apparent and be readily appreciated from the following description, including the accompanying drawings, wherein:

[0041] Figure 1 A flowchart of a coal mill hydraulic loading system warning method provided by an embodiment of the present application;

[0042] Figure 2 A flowchart of another coal mill hydraulic loading system warning method provided by an embodiment of the present application;

[0043] Figure 3 A flow chart of a pre-warning method of a hydraulic loading system of a coal mill provided in an embodiment of the present application is shown in FIG. 1.

[0044] Figure 4 A structure block diagram of a pre-warning device of a hydraulic loading system of a coal mill provided in an embodiment of the present application is shown in FIG. 2.

[0045] Figure 5 A structure block diagram of an electronic device provided in an embodiment of the present application is shown in FIG. 3. DETAILED DESCRIPTION

[0046] Embodiments of the present application are described in detail below with reference to examples shown in the attached drawings, in which the same or similar notations are used to denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by reference to the drawings are exemplary and are intended to explain the present application, and cannot be understood as limiting the present application.

[0047] It should be noted that the medium-speed coal mill is widely used in coal-fired power plants due to its small floor area, low power consumption, good coal powder uniformity, and wide range of raw coal adaptability. At present, the medium-speed coal mill loading methods are mainly divided into hydraulic and spring loading. The hydraulic variable loading method is more commonly used in medium-speed coal mills due to its wide load adjustment range, low unit power consumption at low and medium loads, small vibration, and small grinding disc wear.

[0048] Generally, the hydraulic loading system of the medium-speed coal mill adjusts the hydraulic loading pressure by adjusting the opening of the proportional overflow valve to adapt to the coal supply variation requirement. Due to the harsh field operating environment and variable working conditions, the hydraulic loading system often fails during operation, resulting in mismatch between the hydraulic loading pressure and the coal supply, and further causing safety hazards such as coal mill blockage and large vibration. Therefore, early detection and early treatment of hydraulic loading system failures are of great significance to ensure stable operation of the unit.

[0049] To solve the above problems, the present application provides a pre-warning method, device and electronic equipment of a hydraulic loading system of a coal mill.

[0050] Figure 1 A flow chart of a pre-warning method of a hydraulic loading system of a coal mill provided in an embodiment of the present application is shown in FIG. 1. It should be noted that the pre-warning method of the hydraulic loading system of the coal mill in the embodiment of the present application can be used in the pre-warning device of the hydraulic loading system of the coal mill in the embodiment of the present application, and the pre-warning device of the hydraulic loading system of the coal mill in the embodiment of the present application can be configured in an electronic device. As shown in FIG. 1, the method can include the following steps: Figure 1

[0051] ​At step 101, in response to the coal mill hydraulic loading system being in a variable loading working state, the proportional overflow valve opening value and the hydraulic loading pressure value of the coal mill hydraulic loading system are sampled at a preset first time interval, and the proportional overflow valve opening value and the hydraulic loading pressure value at the current collection time are obtained.

[0052] In some embodiments of the present application, the coal mill hydraulic loading system being in a variable loading working state is equivalent to the coal mill hydraulic loading system being in a running state. As an implementation, the implementation of determining whether the coal mill hydraulic loading system is in a variable loading working state can include: obtaining the hydraulic oil pump current value, the variable loading signal and the hydraulic directional valve signal of the coal mill hydraulic loading system in real time; in response to the hydraulic oil pump current value, the variable loading signal and the hydraulic directional valve signal all satisfying a preset variable loading condition, determining that the coal mill hydraulic loading system is in a variable loading working state. As an example, the preset variable loading condition can be that the hydraulic oil pump current value is greater than 2A, the variable loading signal indicates that the loading mode is in a variable loading state, and the hydraulic directional valve signal is in a mill roller descending state.

[0053] The first time interval refers to the time interval of sampling the proportional overflow valve opening value and the hydraulic loading pressure value. The current collection time refers to the collection time corresponding to the current time, and the embodiments of the present application introduce one collection process.

[0054] At step 102, the proportional overflow valve opening value at the current collection time is input into a preset hydraulic loading pressure prediction model to obtain a hydraulic loading pressure prediction value at the current collection time; wherein the hydraulic loading pressure prediction model has learned the ability to predict the corresponding hydraulic loading pressure value based on the proportional overflow valve opening value of the coal mill hydraulic loading system.

[0055] In some embodiments of the present application, the hydraulic loading pressure prediction model can be a model based on one or more of convolutional neural network, deep neural network, genetic algorithm, etc. The model can be an existing model in related technologies, or a model constructed by a person skilled in the art based on actual application scenarios, which is not limited in the present application.

[0056] As an implementation form, before the method of the embodiment of the application is executed, historical operation parameters of the coal mill hydraulic loading system can be acquired in a server of a power plant distributed control system, including: a proportional overflow valve opening value, a hydraulic loading pressure value, a hydraulic oil pump current value, a variable loading signal, a hydraulic steering valve signal, etc., and the historical data contains all operation conditions of the hydraulic loading system. The hydraulic oil pump current value, the variable loading signal, and the hydraulic steering valve signal in the historical operation parameters are used for filtering the data, so as to filter out abnormal data in which the oil pump does not operate or the system is not in a variable loading working state, and the proportional overflow valve opening value and the hydraulic loading pressure value at each historical moment under normal operation of the system are obtained. The proportional overflow valve opening value and the hydraulic loading pressure value at each historical moment are taken as a training set, so as to train a hydraulic loading pressure prediction model. The training process can include: inputting the proportional overflow valve opening value sample in the training set into an initial hydraulic loading pressure prediction model, obtaining a corresponding hydraulic loading pressure prediction value; determining a loss function according to the hydraulic loading pressure prediction value and the corresponding hydraulic loading pressure value sample; and constantly adjusting the parameters of the initial hydraulic loading pressure prediction model according to the loss function, until a trained hydraulic loading pressure prediction model is obtained.

[0057] In step 103, whether the coal mill hydraulic loading system has a fault is determined according to the hydraulic loading pressure value at the current acquisition moment and the hydraulic loading pressure prediction value.

[0058] It can be understood that, in the normal operation process of the coal mill hydraulic loading system, the hydraulic loading pressure is adjusted by automatically adjusting the proportional overflow valve opening, so as to adapt to the continuously changing coal supply of the coal mill. Since the hydraulic loading pressure prediction model is trained based on the data under normal operation, the hydraulic loading pressure prediction value at the current acquisition moment is the hydraulic loading pressure value corresponding to the proportional overflow valve opening value at the current acquisition moment under the normal state of the system. In this way, whether the coal mill hydraulic loading system has a fault can be determined according to the hydraulic loading pressure value at the current acquisition moment and the hydraulic loading pressure prediction value.

[0059] In some embodiments of the application, the hydraulic loading pressure value at the current acquisition moment and the hydraulic loading pressure prediction value at the current acquisition moment can be compared, a difference between the hydraulic loading pressure value at the current acquisition moment and the hydraulic loading pressure prediction value at the current acquisition moment is determined, and the difference is compared with a preset pressure difference threshold value. If the difference is greater than the pressure difference threshold value, it is determined that the coal mill hydraulic loading system has a fault, otherwise, it can be determined that the coal mill hydraulic loading system does not have a fault.

[0060] In some other embodiments of the application, whether the coal mill hydraulic loading system has a fault is determined by calculating a deviation value between the hydraulic loading pressure value at the current acquisition moment and the hydraulic loading pressure prediction value at the current acquisition moment.

[0061] It should be noted that if it is determined that the coal mill hydraulic loading system does not have a fault, it can return to step 101, that is, continue to acquire the operation data at the next collection time.

[0062] Step 104, in response to the fault of the coal mill hydraulic loading system, generating the fault warning information of the coal mill hydraulic loading system.

[0063] In some embodiments of the present application, the fault warning information of the coal mill hydraulic loading system can only include warning identification information, so that the corresponding signal playing device plays an alarm sound. In addition, the fault warning information of the coal mill hydraulic loading system can also include identification information indicating that the coal mill hydraulic loading system has a fault, and the current hydraulic loading pressure value and the hydraulic loading pressure prediction value of the hydraulic loading system, so that the fault warning information can be displayed in the warning display area of the terminal device running the above method.

[0064] In some embodiments of the present application, after generating the fault warning information of the coal mill hydraulic loading system, it can return to step 101, that is, continue to acquire the operation data at the next collection time.

[0065] According to the warning method of the coal mill hydraulic loading system provided in the embodiments of the present application, by acquiring the proportional overflow valve opening value and the hydraulic loading pressure value at the current collection time when the coal mill hydraulic loading system is in the variable loading working state, obtaining the corresponding hydraulic loading pressure prediction value based on the preset hydraulic loading pressure prediction model, and determining whether the coal mill hydraulic loading system has a fault according to the hydraulic loading pressure value and the hydraulic loading pressure prediction value, and generating the corresponding fault warning information when there is a fault. In this way, the hydraulic loading pressure prediction value corresponding to the proportional overflow valve opening value at the current time can be obtained based on the hydraulic loading pressure prediction model, and the hydraulic loading system can be timely warned of faults to prompt relevant personnel to handle the faults, so that the hydraulic loading pressure can be matched with the coal quantity in time, thereby ensuring the safe operation of the unit and avoiding some safety accidents.

[0066] Next, another embodiment of the method for determining whether the coal mill hydraulic loading system has a fault will be described.

[0067] Figure 2 The flowchart of another warning method of the coal mill hydraulic loading system provided in the embodiments of the present application is shown in FIG. 6. As shown in FIG. 6, the method can include: Figure 2

[0068] ​Step 201, in response to the coal mill hydraulic loading system being in the variable loading state, the proportional overflow valve opening value and the hydraulic loading pressure value of the coal mill hydraulic loading system are sampled at a preset first time interval, and the proportional overflow valve opening value and the hydraulic loading pressure value at the current collection time are obtained.

[0069] Step 202, input the proportional overflow valve opening value at the current collection time into the preset hydraulic loading pressure prediction model to obtain the hydraulic loading pressure prediction value at the current collection time; wherein the hydraulic loading pressure prediction model has learned the ability to predict the corresponding hydraulic loading pressure value based on the proportional overflow valve opening value of the coal mill hydraulic loading system.

[0070] Step 203, according to the hydraulic loading pressure value and the hydraulic loading pressure prediction value at the current collection time, determine the first deviation value between the hydraulic loading pressure value and the hydraulic loading pressure prediction value at the current collection time.

[0071] In some embodiments of the present application, the implementation of determining the first deviation value can be as shown in deviation value calculation formula (1):

[0072]

[0073] Wherein, P is the hydraulic loading pressure value; P0 is the hydraulic loading pressure prediction value.

[0074] Step 204, according to the first deviation value, determine whether the coal mill hydraulic loading system has a fault.

[0075] As an example, a deviation threshold can be set, if the first deviation value is greater than the deviation threshold, it is determined that the coal mill hydraulic loading system has a fault, if the first deviation value is less than or equal to the deviation threshold, it is determined that the coal mill hydraulic loading system does not have a fault.

[0076] Step 205, in response to the coal mill hydraulic loading system having a fault, generate the fault warning information of the coal mill hydraulic loading system.

[0077] According to the warning method of the coal mill hydraulic loading system, the first deviation value between the hydraulic loading pressure value and the hydraulic loading pressure prediction value is determined through the hydraulic loading pressure value and the hydraulic loading pressure prediction value, and whether the coal mill hydraulic loading system has a fault is determined according to the first deviation value, and the corresponding fault warning information is generated when the system has a fault.

[0078] It can be understood that the coal mill hydraulic loading system may also have instantaneous data jitter, and then return to the normal state, so this situation can be considered as a normal phenomenon in the running process of the hydraulic loading system, and not as a fault. Therefore, for this situation, the present application proposes another embodiment.

[0079] Figure 3 A flowchart of another early warning method of the coal mill hydraulic loading system is provided for the embodiments of the present application. As shown in the figure, the method can include the following steps: Figure 3

[0080] Step 301, in response to the coal mill hydraulic loading system being in the variable loading state, the proportional overflow valve opening value and the hydraulic loading pressure value of the coal mill hydraulic loading system are sampled at a preset first time interval to obtain the proportional overflow valve opening value and the hydraulic loading pressure value at the current sampling time.

[0081] Step 302, input the proportional overflow valve opening value at the current sampling time into a preset hydraulic loading pressure prediction model to obtain the hydraulic loading pressure prediction value at the current sampling time; wherein the hydraulic loading pressure prediction model has learned the ability to predict the corresponding hydraulic loading pressure value based on the proportional overflow valve opening value of the coal mill hydraulic loading system.

[0082] Step 303, according to the hydraulic loading pressure value and the hydraulic loading pressure prediction value at the current sampling time, determine the first deviation value between the hydraulic loading pressure value and the hydraulic loading pressure prediction value at the current sampling time.

[0083] Step 304, in response to the first deviation value being greater than a preset threshold, continue to sample the proportional overflow valve opening value and the hydraulic loading pressure value at a preset second time interval; wherein the second time interval is less than the first time interval.

[0084] Since the hydraulic loading system may have transient jitter phenomenon during normal operation, in order to accurately identify whether the system has a fault, the sampling can be continued when the first deviation value at the current sampling time is greater than the threshold value to determine whether the running state after the current sampling time changes.

[0085] The second time interval refers to the interval between every two adjacent sampling times when the data of the hydraulic loading system is continuously collected when the first deviation value is greater than the threshold. In order to exclude the problem of data jitter and also to generate fault warning information in time, the second time interval is less than the first time interval, for example, if the first time interval is 5s, the second time interval can be set to 2s.

[0086] It should be noted that if the first deviation value is less than or equal to the preset threshold, it can be determined that the hydraulic loading system does not have a fault, so the step of sampling the proportional overflow valve opening value and the hydraulic loading pressure value of the coal mill hydraulic loading system at the first time interval in step 301 can be returned to continue.

[0087] ​Step 305, the proportional overflow valve opening value collected according to the second time interval is input into the hydraulic loading pressure prediction model, the corresponding hydraulic loading pressure prediction value is obtained, and the second deviation value between the hydraulic loading pressure value collected according to the second time interval and the corresponding hydraulic loading pressure prediction value is determined.

[0088] That is, when the proportional overflow valve opening value and the hydraulic loading pressure value are sampled according to the second time interval, the proportional overflow valve opening value collected each time is input into the hydraulic loading pressure prediction model, the corresponding hydraulic loading pressure prediction value is obtained, and the second deviation value between the hydraulic loading pressure value collected each time and the corresponding hydraulic loading pressure prediction value is determined. The second deviation value is calculated in the same way as the first deviation value.

[0089] Step 306, in response to the second deviation value being greater than the threshold value within the continuous preset time period, it is determined that the coal mill hydraulic loading system has a fault.

[0090] In some embodiments of the present application, the continuous preset time period refers to a preset time after the current collection time, which is used to exclude system jitter. As an example, the continuous preset time period is 4s after the current collection time, so if the second deviation value within the continuous 4s after the current collection time is greater than the threshold value, it is determined that the coal mill hydraulic loading system has a fault. That is, if the second deviation value within the continuous preset time period is greater than the threshold value, the system jitter can be excluded, and it can be directly determined that the coal mill hydraulic loading system has a fault.

[0091] In some embodiments of the present application, it can be determined that the coal mill hydraulic loading system has a fault if the second deviation value obtained after the current collection time is greater than the threshold value for N consecutive times. As an example, it can be determined that the coal mill hydraulic loading system has a fault if the second deviation value obtained after the current collection time is greater than the threshold value for two consecutive times, that is, if the second deviation value corresponding to the data collected for the first time according to the second time interval after the current collection time is greater than the threshold value, and the second deviation value corresponding to the data collected for the second time according to the second time interval is also greater than the threshold value, it can be determined that the coal mill hydraulic loading system has a fault. The cumulative number of times can be calculated by a counter.

[0092] Step 307, in response to the second deviation value being less than or equal to the threshold value within the continuous preset time period, return to step of sampling the proportional overflow valve opening value and the hydraulic loading pressure value of the coal mill hydraulic loading system according to the preset first time interval.

[0093] It can be understood that if the second deviation value obtained in the continuous preset time period is less than or equal to the threshold value when the data is collected according to the second time interval, it indicates that the case that the first deviation value is greater than the threshold value at the current collection time may be caused by system jitter, that is, it can be determined that the current coal mill hydraulic loading system does not exist fault, so it is not necessary to continue data collection according to the second time interval, but to return to execute step 301.

[0094] In some embodiments of the present application, since a certain amount of calculation is consumed each time the hydraulic loading pressure prediction model is called, in order to reduce the amount of calculation and save energy, the first time interval is greater than the second time interval. That is, if the first deviation value at the current collection time is greater than the threshold value, data is collected according to the second time interval to determine whether the data at the current collection time is a jitter phenomenon, and to determine whether the hydraulic loading system indeed exists a fault. If it can be determined that the hydraulic loading system does not exist a fault, data can be collected and the hydraulic loading pressure prediction model can be called according to the first time interval with a larger interval thereafter, so as to reduce the calling frequency of the hydraulic loading pressure prediction model and reduce resource consumption.

[0095] Step 308, in response to the fault of the coal mill hydraulic loading system, generating the fault warning information of the coal mill hydraulic loading system.

[0096] It should be noted that after the fault warning information of the coal mill hydraulic loading system is generated, it can continue to return to execute step 301 to sample the proportional overflow valve opening value and the hydraulic loading pressure value of the coal mill hydraulic loading system according to the preset first time interval.

[0097] In order to facilitate understanding, the method implemented by the present application will be illustrated by taking the first time interval as 5s and the second time interval as 2s. If the coal mill hydraulic loading system is in a variable loading state, the proportional overflow valve opening value and the hydraulic loading pressure value are collected every 5s; if the first deviation value between the hydraulic loading pressure value at the current collection time and the hydraulic loading pressure prediction value at the current collection time is greater than the threshold value, the proportional overflow valve opening value and the hydraulic loading pressure value are collected every 2s; the proportional overflow valve opening value collected every 2s is input into the hydraulic loading pressure prediction model to obtain the corresponding hydraulic loading pressure prediction value, and the second deviation value between the hydraulic loading pressure value collected every 2s and the corresponding hydraulic loading pressure prediction value is determined; if the second deviation value obtained in the continuous 4s is greater than the threshold value, it is determined that the hydraulic loading system exists a fault, and data collection is still performed according to the time interval of 5s after the warning is generated; if there is a case that the second deviation value is less than or equal to the threshold value, it is determined that the hydraulic loading system does not exist a fault, and data collection is continued according to the time interval of 5s thereafter.

[0098] According to the early warning method of the coal mill hydraulic loading system provided in the embodiments of the present application, when the first deviation value is greater than the threshold value, whether the coal mill hydraulic loading system has a fault is determined based on the second deviation value corresponding to the sampling data at the second time interval, so as to improve the accuracy of fault determination and also improve the accuracy of fault early warning. In addition, when the first deviation value is greater than the threshold value, the data is collected at the second time interval and the hydraulic loading pressure prediction model is called, and after it is determined that the hydraulic loading system does not have a fault, the data is collected at the first time interval greater than the second time interval and the hydraulic loading pressure prediction model is called, which can reduce the number of calls of the model, save resource consumption, and also take into account the timeliness of eliminating jitter and generating early warning information.

[0099] In order to achieve the above-mentioned embodiments, the present application provides an early warning device of a coal mill hydraulic loading system.

[0100] Figure 4 A structural block diagram of an early warning device of a coal mill hydraulic loading system provided in the embodiments of the present application is shown in FIG. 4. As shown in FIG. 4, the device includes: Figure 4

[0101] The first acquisition module 401 is configured to, in response to the coal mill hydraulic loading system being in a variable loading state, sample the proportional overflow valve opening value and the hydraulic loading pressure value of the coal mill hydraulic loading system at a preset first time interval, and acquire the proportional overflow valve opening value and the hydraulic loading pressure value at a current collection time.

[0102] The prediction module 402 is configured to input the proportional overflow valve opening value at the current collection time into a preset hydraulic loading pressure prediction model, and obtain a hydraulic loading pressure prediction value at the current collection time. The hydraulic loading pressure prediction model has learned the ability to predict the corresponding hydraulic loading pressure value based on the proportional overflow valve opening value of the coal mill hydraulic loading system.

[0103] The first determination module 403 is configured to determine whether the coal mill hydraulic loading system has a fault according to the hydraulic loading pressure value at the current collection time and the hydraulic loading pressure prediction value.

[0104] The generation module 404 is configured to, in response to the coal mill hydraulic loading system having a fault, generate fault early warning information of the coal mill hydraulic loading system.

[0105] In some embodiments of the present application, the first determination module 403 is specifically configured to:

[0106] determine a first deviation value between the hydraulic loading pressure value at the current collection time and the hydraulic loading pressure prediction value according to the hydraulic loading pressure value at the current collection time and the hydraulic loading pressure prediction value. ​

[0107] According to the first deviation value, it is determined whether the hydraulic loading system of the coal mill is faulty.

[0108] As a possible implementation manner, the first determination module 403 is specifically configured to:

[0109] In response to the first deviation value being greater than the preset threshold value, the proportional relief valve opening value and the hydraulic loading pressure value are continuously sampled at a preset second time interval; and the second time interval is less than the first time interval.

[0110] The proportional relief valve opening value collected at the second time interval is input into the hydraulic loading pressure prediction model, a corresponding hydraulic loading pressure prediction value is obtained, and a second deviation value between the hydraulic loading pressure value collected at the second time interval and the corresponding hydraulic loading pressure prediction value is determined.

[0111] In response to the second deviation value being greater than the threshold value in a continuous preset time period, it is determined that the hydraulic loading system of the coal mill is faulty.

[0112] The first acquisition module 401 is further configured to, in response to the second deviation value being less than or equal to the threshold value in a continuous preset time period, sample the proportional relief valve opening value and the hydraulic loading pressure value of the hydraulic loading system of the coal mill at a preset first time interval.

[0113] In some embodiments of the present application, the device further comprises:

[0114] The second acquisition module 405 is configured to acquire the hydraulic oil pump current value, the variable loading signal and the hydraulic directional valve signal of the hydraulic loading system of the coal mill in real time.

[0115] The second determination module 406 is configured to, in response to the hydraulic oil pump current value, the variable loading signal and the hydraulic directional valve signal all satisfying a preset variable loading condition, determine that the hydraulic loading system of the coal mill is in a variable loading working state.

[0116] According to the early warning device of the coal mill hydraulic loading system, when the coal mill hydraulic loading system is in the variable loading state, the proportional overflow valve opening value and the hydraulic loading pressure value at the current collection time are obtained, the corresponding hydraulic loading pressure prediction value is obtained based on the preset hydraulic loading pressure prediction model, and whether the coal mill hydraulic loading system has a fault is determined according to the hydraulic loading pressure value and the hydraulic loading pressure prediction value, and the corresponding fault early warning information is generated when the fault exists. In this way, the hydraulic loading pressure prediction model can be used to obtain the hydraulic loading pressure prediction value corresponding to the proportional overflow valve opening value at the current time, to timely perform fault early warning on the hydraulic loading system, to prompt relevant personnel to perform fault processing, to enable the hydraulic loading pressure to be matched with the coal quantity in a timely manner, and thus the safe operation of the unit can be ensured, and some safety accidents can be avoided.

[0117] Figure 5 The block diagram of the electronic device for implementing the early warning method of the coal mill hydraulic loading system according to the embodiment of the present application. The electronic device is intended to represent various forms of digital computers, such as laptops, desktops, tablets, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device can also represent various forms of mobile devices, such as personal digital processors, cellular telephones, smartphones, wearable devices, and other similar computing devices. The components shown in the figure, their connections, and relationships, and their functions, are merely examples and are not intended to limit implementations of the present application described and / or claimed herein.

[0118] As shown in Figure 5 The electronic device includes a memory 510, a processor 520, and a computer program 530 stored on the memory and executable on the processor. The various components are interconnected by different buses, and can be installed on a common motherboard or otherwise as needed. The processor can process instructions executed within the electronic device, including instructions stored in the memory or the memory to display graphical information on an external input / output device, such as a display device coupled to an interface, to display a GUI. In other embodiments, multiple processors and / or multiple buses can be used with multiple memories and multiple memories as needed. Similarly, multiple electronic devices can be connected, each providing part of the necessary operations (for example, as a server array, a group of blade servers, or a multi-processor system).

[0119] The memory 510 is the non-transitory computer-readable storage medium provided in this application. The memory stores instructions executable by at least one processor to cause the at least one processor to perform the methods of the above embodiments. The non-transitory computer-readable storage medium of this application stores computer instructions for causing a computer to perform the methods described in the above embodiments.

[0120] The memory 510, as a non-transitory computer-readable storage medium, can be used to store non-transitory software programs, non-transitory computer-executable programs, and modules, such as the program instructions / modules corresponding to the methods in the above embodiments. The processor 520 executes various functional applications and data processing of the server by running the non-transitory software programs, instructions, and modules stored in the memory 510, thereby implementing the methods in the above embodiments.

[0121] The memory 510 may include a program storage area and a data storage area. The program storage area may store an operating system and applications required for at least one function. The data storage area may store data created based on the use of the electronic device for implementing the methods in the above embodiments. Furthermore, the memory 510 may include high-speed random access memory and may also include non-transient memory, such as at least one disk storage device, flash memory device, or other non-transient solid-state storage device. In some embodiments, the memory 510 may optionally include memory remotely located relative to the processor 520, and these remote memories can be connected via a network to the electronic device for implementing the methods in the above embodiments. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

[0122] The electronic device used in the methods described in the above embodiments may further include an input device 540 and an output device 550. The processor 520, memory 510, input device 540, and output device 550 may be connected via a bus or other means. Figure 5 Taking the example of a connection between China and Israel via a bus.

[0123] Input device 540 can receive input numerical or character information, and generate key signal inputs related to user settings and function control of the electronic device, such as touch screens, keypads, mice, trackpads, touchpads, joysticks, one or more mouse buttons, trackballs, joysticks, etc. Output device 550 may include display devices, auxiliary lighting devices (e.g., LEDs), and haptic feedback devices (e.g., vibration motors). The display device may include, but is not limited to, liquid crystal displays (LCDs), light-emitting diode (LED) displays, and plasma displays. In some embodiments, the display device may be a touch screen.

[0124] In the description of the application, reference to "one embodiment", "some embodiments", "an example", "a specific example", or "some examples" means that a particular feature, structure, material, or characteristic being described is included in at least one embodiment or example of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment or example. Furthermore, the described specific features, structures, materials, or characteristics can be combined in any suitable manner in one or more embodiments or examples. Moreover, the usage of the terms "first", "second" or "third" does not limit the quantity or order of the specific features, structures, materials or characteristics, but rather the terms are used to distinguish between different sets of the same or similar features, structures, materials or characteristics. Thus, a feature described as a "first" feature can also be a "second" feature, and vice versa.

[0125] Furthermore, the terms "first", "second", or the like, are used only to describe a particular aspect and do not imply either a relative importance or a particular order in which the features are to be implemented. Thus, a feature defined with a "first" or "second" can also be a "second" or "first" respectively. The meaning of "a", "an", and "the" include both singular and plural referents unless otherwise clear from the context.

[0126] Any process or method descriptions or blocks in flow charts or otherwise described herein represent embodiments of modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps in the process. Alternate implementations are included within the scope of the preferred embodiments of this application in which additional functionality can be added or some functionality can be removed, by adding, removing or modifying the process blocks or steps in the flow charts or otherwise described herein. Embodiments of the application can be realized by corresponding hardware, software, firmware, or their combination.

[0127] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include: an electrical connection having one or more wires (electronic device), a portable computer disk drive (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Alternatively, the computer-readable medium may be paper or other suitable media on which the program can be printed, since the program can be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in a computer memory.

[0128] It should be understood that various parts of this application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented using software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0129] Those skilled in the art will understand that all or part of the steps of the methods in the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, the program includes one or a combination of the steps of the method embodiments.

[0130] In addition, each of the functional units in the various embodiments of the present application can be integrated in one processing module, or each of the units can be physically present separately, or two or more units can be integrated in one module. The integrated module can be implemented in the form of hardware or in the form of a software functional module. When the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it can also be stored in a computer readable storage medium.

[0131] The storage medium mentioned above can be a read-only memory, a magnetic disk or an optical disk, etc. Although the embodiments of the present application have been shown and described above, it should be understood that the above embodiments are exemplary and should not be construed as limiting the present application, and those skilled in the art can make changes, modifications, replacements and variations to the above embodiments within the scope of the present application.

Claims

1. A method of early warning for a hydraulic loading system of a coal mill, characterized in that, The method comprises the following steps: in response to the coal mill hydraulic loading system being in a variable loading working state, sampling the proportional overflow valve opening value and the hydraulic loading pressure value of the coal mill hydraulic loading system at a preset first time interval, and obtaining the proportional overflow valve opening value and the hydraulic loading pressure value at a current collection time; inputting the proportional overflow valve opening value at the current collection time into a preset hydraulic loading pressure prediction model to obtain a hydraulic loading pressure prediction value at the current collection time; wherein the hydraulic loading pressure prediction model has learned the ability to predict the corresponding hydraulic loading pressure value based on the proportional overflow valve opening value of the coal mill hydraulic loading system; determining whether the coal mill hydraulic loading system has a fault according to the hydraulic loading pressure value and the hydraulic loading pressure prediction value at the current collection time, including: determining a first deviation value between the hydraulic loading pressure value and the hydraulic loading pressure prediction value at the current collection time according to the hydraulic loading pressure value and the hydraulic loading pressure prediction value at the current collection time, and in response to the first deviation value being greater than a preset threshold, continuing to sample the proportional overflow valve opening value and the hydraulic loading pressure value at a preset second time interval; wherein the second time interval is less than the first time interval; inputting the proportional overflow valve opening value collected at the second time interval into the hydraulic loading pressure prediction model to obtain the corresponding hydraulic loading pressure prediction value, and determining a second deviation value between the hydraulic loading pressure value collected at the second time interval and the corresponding hydraulic loading pressure prediction value; in response to the second deviation values in a continuous preset time period being greater than the threshold, determining that the coal mill hydraulic loading system has a fault; or, in response to the second deviation values in the continuous preset time period being less than or equal to the threshold, returning to the step of sampling the proportional overflow valve opening value and the hydraulic loading pressure value of the coal mill hydraulic loading system at a preset first time interval; in response to the coal mill hydraulic loading system having a fault, generating fault warning information of the coal mill hydraulic loading system.

2. The method of claim 1, wherein, The method further comprises the following steps: real-time acquisition of the hydraulic oil pump current value, the variable loading signal and the hydraulic directional valve signal of the coal mill hydraulic loading system; in response to the hydraulic oil pump current value, the variable loading signal and the hydraulic directional valve signal all meeting a preset variable loading condition, determining that the coal mill hydraulic loading system is in a variable loading working state.

3. A pre-warning device for a hydraulic loading system of a coal mill, characterized in that, The method comprises the following steps: a first acquisition module is configured to sample the proportional overflow valve opening value and the hydraulic loading pressure value of the coal mill hydraulic loading system at a preset first time interval in response to the coal mill hydraulic loading system being in a variable loading working state, and obtain the proportional overflow valve opening value and the hydraulic loading pressure value at a current collection time; The prediction module is configured to input the proportional overflow valve opening value at the current collection time into a preset hydraulic loading pressure prediction model to obtain a hydraulic loading pressure prediction value at the current collection time; wherein the hydraulic loading pressure prediction model has learned the ability to predict the corresponding hydraulic loading pressure value based on the proportional overflow valve opening value of the coal mill hydraulic loading system; The first determination module is configured to determine whether the coal mill hydraulic loading system has a fault according to the hydraulic loading pressure value and the hydraulic loading pressure prediction value at the current collection time; The generation module is configured to generate fault warning information of the coal mill hydraulic loading system in response to the coal mill hydraulic loading system having a fault. The first determination module is specifically configured to: determine a first deviation value between the hydraulic loading pressure value and the hydraulic loading pressure prediction value at the current collection time according to the hydraulic loading pressure value and the hydraulic loading pressure prediction value at the current collection time; determine whether the coal mill hydraulic loading system has a fault according to the first deviation value; The first determination module is specifically configured to: in response to the first deviation value being greater than a preset threshold value, continue to sample the proportional overflow valve opening value and the hydraulic loading pressure value at a preset second time interval; wherein the second time interval is less than the first time interval; input the proportional overflow valve opening value collected at the second time interval into the hydraulic loading pressure prediction model to obtain the corresponding hydraulic loading pressure prediction value, and determine a second deviation value between the hydraulic loading pressure value collected at the second time interval and the corresponding hydraulic loading pressure prediction value; in response to the second deviation values in a continuous preset time period being all greater than the threshold value, determine that the coal mill hydraulic loading system has a fault; The first acquisition module is further configured to sample the proportional overflow valve opening value and the hydraulic loading pressure value of the coal mill hydraulic loading system at the first time interval in response to the second deviation values in the continuous preset time period being less than or equal to the threshold value.

4. The apparatus of claim 3, wherein, Further comprising: The second acquisition module is configured to acquire the hydraulic oil pump current value, the variable loading signal, and the hydraulic directional valve signal of the coal mill hydraulic loading system in real time; The second determination module is configured to determine that the coal mill hydraulic loading system is in a variable loading working state in response to the hydraulic oil pump current value, the variable loading signal, and the hydraulic directional valve signal all satisfying a preset variable loading condition.

5. An electronic device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, The processor executes the program to implement the method of any one of claims 1-2.

6. A computer-readable storage medium having stored thereon a computer program, characterized in that, The program is executed by the processor to implement the method of any one of claims 1-2.

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