Engine water temperature abnormality diagnosis method, terminal and computer readable storage medium

Abstract

The present invention discloses a method, terminal and computer-readable storage medium for diagnosing abnormal engine water temperature. The method for diagnosing abnormal engine water temperature comprises: obtaining operating data and environmental data of the engine, the operating data including the cooling water temperature of the engine; judging whether the cooling water temperature of the engine is abnormal according to the environmental data; if the cooling water temperature of the engine is abnormal, extracting and analyzing the operating data and environmental data of the abnormal corresponding period to obtain an abnormal diagnosis result. The present invention can realize the rapid location of the cause of abnormal engine cooling water temperature of a rotary drilling rig, which is conducive to improving the working efficiency and stability of the engine.

Description

Technical Field

[0001] The present invention relates to the technical field of abnormal engine water temperature diagnosis, and in particular to an abnormal engine water temperature diagnosis method, a terminal and a computer-readable storage medium. Background Art

[0002] A rotary drilling rig is a type of foundation construction machinery, mainly used for pile foundation construction, especially in the construction of bridges, elevated roads and house foundations. During the construction process, the engine load of the rotary drilling rig may increase suddenly due to construction conditions or weather reasons, causing the engine cooling water temperature to be too high, resulting in abnormal engine alarms. At the same time, the engine working in a high temperature area for a long time will have an adverse effect on the engine performance and efficiency, and in severe cases, the engine will be damaged, which will affect production and project progress and cause losses.

[0003] The preceding description is intended to provide general background information and does not necessarily constitute prior art. Summary of the invention

[0004] The engine water temperature abnormality diagnosis method, terminal and computer-readable storage medium provided by the present invention can realize the rapid location of the cause of the abnormal engine cooling water temperature of the rotary drilling rig, which is beneficial to improving the working efficiency and stability of the engine.

[0005] The present invention provides a method for diagnosing abnormal engine water temperature, comprising:

[0006] Acquiring operating condition data and environmental data of the engine, wherein the operating condition data includes a cooling water temperature of the engine;

[0007] determining whether the cooling water temperature of the engine is abnormal according to the environmental data;

[0008] If the cooling water temperature of the engine is an abnormal water temperature, the operating condition data and the environmental data of the time period corresponding to the abnormal water temperature are extracted and analyzed to obtain an abnormal diagnosis result.

[0009] The operating condition data further includes at least one of engine torque, load, rotation speed and engine intake temperature; the environmental data includes at least one of ambient temperature, ambient humidity and ambient pressure.

[0010] Wherein, judging whether the cooling water temperature of the engine is abnormal according to the environmental data includes:

[0011] determining a temperature threshold according to the environmental data;

[0012] Obtaining a temperature-time curve according to the cooling water temperature of the engine;

[0013] Obtaining a heating rate according to the temperature threshold and the temperature-time curve;

[0014] If the cooling water temperature of the engine reaches the temperature threshold, or the cooling water temperature of the engine is close to the temperature threshold and the heating rate is greater than or equal to a preset rate, it is determined that the cooling water temperature of the engine is an abnormal water temperature.

[0015] After determining the temperature threshold according to the environmental data, the method further includes:

[0016] Obtaining a temperature-time curve according to the cooling water temperature of the engine;

[0017] The heating rate is obtained according to the temperature threshold and the temperature-time curve.

[0018] The extracting and analyzing the operating condition data and the environmental data in the period corresponding to the abnormal water temperature to obtain the abnormal diagnosis result includes:

[0019] Extracting the operating condition data and the environmental data for a preset time period before the abnormal water temperature occurs;

[0020] The working condition data and the environmental data are input into a preset model to perform characteristic calculation;

[0021] The fault label corresponding to the abnormal water temperature is output as the abnormal diagnosis result.

[0022] Before substituting the working condition data and the environmental data into a preset model for feature calculation, the method further includes:

[0023] Establish fault labels based on known fault data;

[0024] Integrated training is performed according to the known fault data and the fault labels to obtain the preset model, wherein the preset model includes a corresponding relationship between the fault labels and the known fault data.

[0025] After obtaining the engine operating data and environmental data, the method further includes:

[0026] A corresponding working mode is obtained according to the working condition data, wherein the working mode includes at least one of drill bit down, drill bit drilling, drill bit lifting, rotary drilling rig rotation and soil throwing; and / or,

[0027] The corresponding geological type is obtained according to the environmental data.

[0028] Wherein, the method further comprises:

[0029] An abnormality diagnosis result is obtained according to at least one of the fault label corresponding to the abnormal water temperature, the geological type and the working mode.

[0030] The present invention also provides a terminal, comprising: a memory and a processor, wherein the memory stores an engine water temperature abnormality diagnosis program, and when the engine water temperature abnormality diagnosis program is executed by the processor, the steps of the engine water temperature abnormality diagnosis method described above are implemented.

[0031] The present invention also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the engine water temperature abnormality diagnosis method as described above are implemented.

[0032] The present invention provides an abnormal engine water temperature diagnosis method, terminal and computer-readable storage medium. The abnormal engine water temperature diagnosis method comprises: obtaining the working condition data and environmental data of the engine, the working condition data including the cooling water temperature of the engine; judging whether the cooling water temperature of the engine is abnormal according to the environmental data; if the cooling water temperature of the engine is abnormal, extracting and analyzing the working condition data and environmental data of the abnormal corresponding period to obtain the abnormal diagnosis result. The present invention can realize the rapid location of the cause of the abnormal engine cooling water temperature of the rotary drilling rig, which is conducive to improving the working efficiency and stability of the engine. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 It is a flow chart of a method for diagnosing abnormal engine water temperature according to an embodiment of the present invention;

[0034] Figure 2 A schematic diagram of a specific flow chart of a method for diagnosing abnormal engine water temperature according to an embodiment of the present invention;

[0035] Figure 3 It is a schematic diagram of an abnormality identification process of an abnormal engine water temperature diagnosis method according to an embodiment of the present invention;

[0036] Figure 4 A temperature-time curve diagram of an abnormal engine water temperature diagnosis method according to an embodiment of the present invention;

[0037] Figure 5 It is a schematic diagram of an abnormality diagnosis process of an abnormal engine water temperature diagnosis method according to an embodiment of the present invention;

[0038] Figure 6 Schematic diagram of the model building process of the engine water temperature abnormality diagnosis method according to an embodiment of the present invention. DETAILED DESCRIPTION

[0039] The specific implementation of the present invention is further described in detail below in conjunction with the accompanying drawings and examples. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0040] Figure 1 The figure is a flow chart of a method for diagnosing abnormal engine water temperature according to an embodiment of the present invention. Figure 2 FIG. 1 is a schematic diagram of a specific flow chart of an abnormal engine water temperature diagnosis method according to an embodiment of the present invention. Figure 1 and Figure 2 As shown, this embodiment provides a method for diagnosing abnormal engine water temperature, including:

[0041] Step 210: Acquire engine operating data and environmental data, where the operating data includes the engine cooling water temperature;

[0042] Step 220: determining whether the cooling water temperature of the engine is abnormal according to the environmental data;

[0043] Step 230: If the cooling water temperature of the engine is abnormal, extract and analyze the operating condition data and environmental data of the time period corresponding to the abnormal water temperature to obtain an abnormal diagnosis result.

[0044] The abnormal engine water temperature diagnosis method of the present invention can be applied to basic construction machinery such as rotary drilling rigs. Taking a rotary drilling rig as an example, the engine's operating data and environmental data are obtained by real-time operation control parameters of the equipment and sensor collection. Among them, the operating data include engine torque, load, speed, engine cooling water temperature and engine intake temperature. Environmental data include ambient temperature, ambient humidity and ambient air pressure. The collected operating data and environmental data are processed, and the data processing includes geological identification model recognition, state segmentation of the construction process and data integration. According to the processed environmental data, it is judged whether the cooling water temperature of the engine is abnormal water temperature. If it is abnormal water temperature, the operating data and environmental data of the corresponding period of abnormal water temperature are input into the fault diagnosis model to output the diagnosis result and print prompts on the display screen. The diagnosis result can be output to the cab monitoring interface to prompt the operator to take corresponding measures. For example, if the load is too high and the engine water temperature is abnormal, it is prompted to reduce the load.

[0045] It should be noted that during the data collection process, appropriate temperature, humidity, and air pressure sensors are selected according to the design requirements to collect external environmental temperature, humidity, and air pressure respectively. At the same time, temperature sensors are configured in the engine cooling water to obtain real-time data, and rely on PLC for real-time data transmission.

[0046] In one embodiment, after obtaining the engine operating data and environmental data, the method further includes:

[0047] A corresponding working mode is obtained according to the working condition data, the working mode including at least one of drill bit down, drill bit drilling, drill bit lifting, rotary drilling rig rotation and soil throwing; and / or,

[0048] The corresponding geological type is obtained according to the environmental data.

[0049] It should be noted that data processing includes three processes: data integration, geological identification, and working mode identification. Among them, data integration is because PLC sends large batches of data to the data bus in batches, and there is a time lag in data transmission. Therefore, when the terminal device receives the data, it needs to arrange and splice the data according to the time sequence to meet the data consistency of the business.

[0050] Geological identification is to use geological identification algorithms to synchronously identify the geology during drilling. By automatically matching the data of the geological identification algorithm, the current geological type can be quickly calculated during drilling, and the temperature rise caused by geological reasons can be quickly eliminated when the engine's cooling water temperature is abnormal.

[0051] Working mode recognition is to divide the working mode of the rotary drilling rig through an algorithm. According to the working characteristics of the rotary drilling rig, the main construction process of the rotary drilling rig can be roughly divided into several processes: drill bit down, drill bit drilling, drill bit lifting, rotary drilling rig rotation and soil throwing. Among these construction processes, the drilling process has the greatest impact on the engine, and the performance of the engine directly affects the drilling efficiency and fuel consumption. Since different construction processes may cause abnormal cooling water temperature of the engine, but the water temperature abnormality caused by different working modes is different when reflected in the specific working condition data, the different working modes of the rotary drilling rig are used to assist in diagnosing the cause of abnormal water temperature of the engine, which can improve the accuracy of diagnosing abnormal water temperature of the engine.

[0052] In one embodiment, determining whether the cooling water temperature of the engine is abnormal according to the environmental data includes:

[0053] Determine temperature thresholds based on environmental data;

[0054] If the cooling water temperature of the engine reaches a temperature threshold, or the cooling water temperature of the engine is close to the temperature threshold and the heating rate is greater than or equal to a preset rate, it is determined that the cooling water temperature of the engine is an abnormal water temperature.

[0055] In one embodiment, after determining the temperature threshold according to the environmental data, the method further includes:

[0056] A temperature-time curve is obtained according to the cooling water temperature of the engine;

[0057] The heating rate is obtained according to the temperature threshold and the temperature-time curve.

[0058] Figure 3 FIG. 1 is a schematic diagram of an abnormality identification process of an abnormal engine water temperature diagnosis method according to an embodiment of the present invention. Figure 3As shown, firstly, the temperature threshold of the engine cooling water is determined according to the environmental data such as the ambient temperature, humidity and pressure, and the temperature threshold is positively correlated with the ambient temperature. The cooling water temperature of the engine is monitored in real time. If the cooling water temperature of the engine reaches the temperature threshold, the current engine cooling water temperature is determined to be an abnormal water temperature. If the cooling water temperature of the engine is close to the temperature threshold, such as the cooling water temperature of the engine reaches the range of -5 degrees Celsius of the temperature threshold, the cooling water temperature data of the engine 10 minutes before the corresponding moment of the cooling water temperature of the engine is extracted for data tracking, and an N-order polynomial fitting curve is constructed based on the extracted cooling water temperature data of the engine to approximate the temperature change, and a temperature-time curve is obtained.

[0059] Figure 4 The temperature-time curve diagram of the abnormal engine water temperature diagnosis method according to the embodiment of the present invention. Figure 4 As shown, the X-axis represents time in milliseconds; the Y-axis represents the engine cooling water temperature in degrees Celsius. Figure 4 The curve in is a temperature-time fitting curve, the cross point is the minimum point of the fitting curve, the circle point is the maximum point of the fitting curve, the star represents the measured engine cooling water temperature, and the dotted line represents the temperature rise change rate. Taking the temperature threshold of 95 degrees Celsius as an example, when the engine cooling water temperature reaches 90 degrees Celsius, a minimum point before the highest temperature of the engine cooling water temperature is determined, and the temperature rise change rate from the minimum point to the highest temperature is calculated as the heating rate. When the engine cooling water temperature is close to the temperature threshold and the temperature rise rate is greater than or equal to the preset rate, the current engine cooling water temperature is identified as an abnormal water temperature. The present invention locates the minimum point near the temperature abnormality point and quickly calculates the temperature rise change of the engine cooling water temperature through a polynomial fitting curve.

[0060] In one embodiment, the operating condition data and environmental data of the period corresponding to the abnormal water temperature are extracted and analyzed to obtain the abnormal diagnosis result, including:

[0061] Extracting the operating condition data and environmental data for a preset time period before the abnormal water temperature occurs;

[0062] The working condition data and environmental data are input into the preset model for characteristic calculation;

[0063] The fault label corresponding to the abnormal water temperature is output as the abnormal diagnosis result.

[0064] Figure 5 FIG. 1 is a schematic diagram of an abnormality diagnosis process of an abnormal engine water temperature diagnosis method according to an embodiment of the present invention. Figure 5As shown in the figure, when the cooling water temperature of the engine is identified as abnormal, the operating data and environmental data, such as engine load changes, engine speed, and cooling fan data, are input into the preset model for feature calculation and abnormal type diagnosis. The cause of the abnormal cooling water temperature of the engine can be identified and determined based on the random forest algorithm. In this way, the operating data and environmental data are combined with the machine learning algorithm to diagnose the cause of the abnormality, and the diagnosis results are output in time. The equipment operator can be prompted by printing on the display screen, and can adjust the operating mode or check and repair and replace the radiator to speed up the problem solving and reduce downtime.

[0065] In one embodiment, before substituting the working condition data and the environmental data into the preset model to perform feature calculation, the method further includes:

[0066] Establish fault labels based on known fault data;

[0067] Integrated training is performed based on known fault data and fault labels to obtain a preset model, which includes a corresponding relationship between the fault label and the known fault data.

[0068] Figure 6 Schematic diagram of the model building process of the abnormal engine water temperature diagnosis method according to an embodiment of the present invention. Figure 6 As shown in the figure, after constructing features and fault labels, the algorithm model is brought in for integrated training to obtain a preset model (i.e., training model). Among them, when constructing features, under the condition of identifying the main parameters affecting engine temperature, model features are constructed for known fault data such as engine torque, load and speed, engine intake temperature, cooling water temperature, temperature and humidity of the natural environment. Fault labels mainly come from daily inspection and maintenance samples, such as maintenance data recorded in the CRM system. Specific faults are classified, cooling fan-related faults can be classified as cooling fans, engine-related faults can be classified as engine abnormalities, etc., and load-related faults can be classified as excessive load. Next, for the construction and training of the preset model, the corresponding data can be extracted according to the fault time point in the known fault data and the abnormal points can be located. The extracted data and abnormal points are integrated, and the known fault data and fault labels are associated through machine learning algorithm training to obtain the preset model. Training can be combined with a variety of machine learning algorithms, such as support vector machines, neural networks, random forests, etc. When the parameters and data sampling frequencies are similar, the identification and diagnosis algorithm can also be implemented through other machine learning algorithms (decision tree, logistic regression, Xgboost, support vector machine, CNN, RNN, etc.).

[0069] In one embodiment, it further comprises:

[0070] The abnormal diagnosis result is obtained according to at least one of the fault label, geological type and working mode corresponding to the abnormal water temperature.

[0071] In this embodiment, the engine can be comprehensively analyzed and evaluated based on one or more of the fault label of the abnormal water temperature, the geological type, and the working mode, so as to improve the accuracy of determining the cause of the abnormal water temperature.

[0072] In one embodiment, the present invention also includes model deployment, including developing a terminal device interface to achieve stable communication between the terminal device and the PLC, and to receive PLC data in real time. Model deployment also relies on the cloud to train the model and then send it to the terminal. The terminal collects real-time data for calculation, predicts and judges the health status of the current cooling water temperature, and feeds back the cause of the problem to the display when an abnormality occurs. In addition to the real-time machine learning model predictive calculation of the engine's cooling water temperature data, the terminal also uploads the operating condition data to the cloud for iterative training of the cloud model to improve the accuracy of the algorithm model. In this way, a cloud-terminal temperature anomaly diagnosis mode is established, and model training, model storage, and model distribution to the terminal device are performed in the cloud. Then, the abnormality type is diagnosed through terminal calculation to improve the accuracy and timeliness of the prediction.

[0073] The abnormal engine water temperature diagnosis method of the present invention comprises: obtaining the working condition data and environmental data of the engine, the working condition data including the cooling water temperature of the engine; judging whether the cooling water temperature of the engine is abnormal according to the environmental data; if the cooling water temperature of the engine is abnormal, extracting and analyzing the working condition data and environmental data of the abnormal corresponding period to obtain the abnormal diagnosis result. The present invention can realize the rapid location of the cause of the abnormal engine cooling water temperature of the rotary drilling rig, which is conducive to improving the working efficiency and stability of the engine.

[0074] The present application also provides a mobile terminal, which includes a memory and a processor. The memory stores an engine water temperature abnormality diagnosis program. When the engine water temperature abnormality diagnosis program is executed by the processor, the steps of the engine water temperature abnormality diagnosis method in the above embodiment are implemented.

[0075] The present application also provides a computer-readable storage medium, on which an engine water temperature abnormality diagnosis program is stored. When the engine water temperature abnormality diagnosis program is executed by a processor, the steps of the engine water temperature abnormality diagnosis method in any of the above-mentioned embodiments are implemented.

[0076] In the embodiments of the mobile terminal and computer-readable storage medium provided in the present application, all technical features of the above-mentioned engine water temperature abnormality diagnosis method embodiment may be included. The expansion and explanation content of the specification are basically the same as those of the various embodiments of the above-mentioned method, and will not be repeated here.

[0077] In the accompanying drawings, the sizes and relative sizes of layers and regions are exaggerated for clarity. It should be understood that when an element, such as a layer, region, or substrate, is referred to as being "formed on," "disposed on," or "located on" another element, the element may be disposed directly on the other element, or there may be intervening elements. Conversely, when an element is referred to as being "formed directly on" or "disposed directly on" another element, there are no intervening elements.

[0078] In this document, the directions or positional relationships indicated by terms such as "up", "down", "front", "back", "left", "right", "top", "bottom", "inside", "outside", "vertical", and "horizontal" are based on the directions or positional relationships shown in the accompanying drawings and are only for the clarity of expressing the technical solutions and the convenience of description, and therefore should not be understood as limitations of the present invention.

[0079] In this document, unless otherwise specified or limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms can be understood according to specific circumstances.

[0080] In this document, the ordinal adjectives “first”, “second”, etc. used to describe elements are only used to distinguish elements with similar attributes, and do not mean that the elements described in this way must follow a given order, or time, space, level or other limitations.

[0081] As used herein, unless otherwise specified, “plurality” or “several” means two or more.

[0082] In this document, the terms "comprises," "comprising," or any other variations thereof, are intended to cover a non-exclusive inclusion of elements other than those listed and may also include additional elements not expressly listed.

[0083] The technical features of the above-described embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above-described embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0084] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. A method for diagnosing abnormal engine water temperature, characterized in that: include: Acquire engine operating data and environmental data, wherein the operating data includes the engine cooling water temperature, and the operating data also includes at least one of the engine torque, load, speed and engine intake temperature; the environmental data includes at least one of the ambient temperature, ambient humidity and ambient pressure; determining whether the cooling water temperature of the engine is abnormal according to the environmental data; If the cooling water temperature of the engine is an abnormal water temperature, extracting and analyzing the operating condition data and the environmental data in the period corresponding to the abnormal water temperature to obtain an abnormal diagnosis result; The determining, based on the environmental data, whether the cooling water temperature of the engine is abnormal includes: determining a temperature threshold according to the environmental data; If the cooling water temperature of the engine reaches the temperature threshold, or the cooling water temperature of the engine is close to the temperature threshold and the heating rate is greater than or equal to a preset rate, it is determined that the cooling water temperature of the engine is an abnormal water temperature.

2. The engine water temperature abnormality diagnosis method according to claim 1, characterized in that: After determining the temperature threshold according to the environmental data, the method further includes: Obtaining a temperature-time curve according to the cooling water temperature of the engine; The heating rate is obtained according to the temperature threshold and the temperature-time curve.

3. The engine water temperature abnormality diagnosis method according to claim 1, characterized in that: The extracting and analyzing the operating condition data and the environmental data in the period corresponding to the abnormal water temperature to obtain an abnormality diagnosis result includes: Extracting the operating condition data and the environmental data for a preset time period before the abnormal water temperature occurs; The working condition data and the environmental data are input into a preset model to perform characteristic calculation; The fault label corresponding to the abnormal water temperature is output as the abnormal diagnosis result.

4. The engine water temperature abnormality diagnosis method according to claim 3, characterized in that: Before substituting the working condition data and the environmental data into a preset model to perform feature calculation, the method further includes: Establish fault labels based on known fault data; Integrated training is performed according to the known fault data and the fault labels to obtain the preset model, wherein the preset model includes a corresponding relationship between the fault labels and the known fault data.

5. The engine water temperature abnormality diagnosis method according to claim 3, characterized in that: After obtaining the engine operating data and environmental data, the method further includes: A corresponding working mode is obtained according to the working condition data, wherein the working mode includes at least one of drill bit down, drill bit drilling, drill bit lifting, rotary drilling rig rotation and soil throwing; and / or, The corresponding geological type is obtained according to the environmental data.

6. The engine water temperature abnormality diagnosis method according to claim 5, characterized in that: The method further comprises: An abnormality diagnosis result is obtained according to at least one of the fault label corresponding to the abnormal water temperature, the geological type and the working mode.

7. A terminal, characterized in that: The terminal includes: a memory and a processor, wherein the memory stores an engine water temperature abnormality diagnosis program, and when the engine water temperature abnormality diagnosis program is executed by the processor, the steps of the engine water temperature abnormality diagnosis method as described in any one of claims 1 to 6 are implemented.

8. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the engine water temperature abnormality diagnosis method according to any one of claims 1 to 6 are implemented.

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