A truck axle assembly temperature monitoring system
By installing temperature and level sensors on the truck axle assembly, combined with data processing and intelligent early warning modules, the gear oil volume can be adjusted in real time, solving the problem of gear oil waste and improving the mechanical efficiency and service life of the truck.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- ANHUI ANKAI FUTIAN SHUGUANG AXLE CO LTD
- Filing Date
- 2022-08-10
- Publication Date
- 2026-05-19
AI Technical Summary
In the existing technology, the use of gear oil in truck axle assemblies lacks control and testing, resulting in the waste of lubricating and cooling oil under different operating conditions, increasing resistance and energy loss.
Design a temperature monitoring system for a truck axle assembly, including a data acquisition module, a data processing module, and an intelligent early warning module. The system monitors the temperature and level of gear oil in real time using temperature and level sensors, calculates the level deviation, and controls the oil control valve to adjust the amount of gear oil through the intelligent early warning module.
It achieves precise control of gear oil, reduces waste of lubricating and cooling oil, lowers resistance and energy loss, and extends the service life of trucks.
Smart Images

Figure CN115290221B_ABST
Abstract
Description
Technical Field
[0001] This invention belongs to the automotive field and relates to truck axle assembly temperature monitoring technology, specifically a truck axle assembly temperature monitoring system. Background Technology
[0002] Truck axle assemblies generate high temperatures during high-speed operation. Existing truck axle assemblies use gear oil to lubricate and cool the gears in the main reducer. A fixed amount of gear oil is added to the gear oil tank each time, and after a service cycle, all the gear oil in the tank is replaced to ensure lubrication and cooling of the main reducer gears. However, there is no control or monitoring of gear oil usage during its service life. This lubrication and cooling method has the following problems:
[0003] 1) Regardless of the operating condition of the truck's main reducer, the amount of gear oil carried by the main reducer gear remains constant: When the truck's main reducer is in a low-speed operating state, the gears of the main reducer do not need much lubricating oil to ensure the normal operation of the main reducer and ensure sufficient lubrication of the gears. However, the amount of gear oil carried by the gears of the traditional main reducer remains constant, which leads to an excess of gear oil for lubrication, resulting in waste. At the same time, the gears rotate with excess lubricating oil, resulting in greater resistance and greater energy loss.
[0004] 2) When the truck's main reducer is in a low-temperature state, the gears of the main reducer do not need much gear oil to provide sufficient cooling and ensure that the gears operate safely and stably. However, with the existing lubrication and cooling methods, the amount of gear oil carried by the gears of the main reducer remains the same, which leads to an excess of gear oil for cooling, resulting in waste. At the same time, the gears rotating with excess lubricating oil have greater resistance and more energy loss.
[0005] Therefore, a temperature monitoring system for truck axle assembly is proposed. Summary of the Invention
[0006] This invention aims to at least solve one of the technical problems existing in the prior art. To this end, this invention proposes a truck axle assembly temperature monitoring system, which solves the problem of the lack of control and detection over the use of gear oil during its service life.
[0007] To achieve the above objectives, an embodiment of the first aspect of the present invention provides a truck axle assembly temperature monitoring system, comprising a data acquisition module, a data processing module, an intelligent control module, and an intelligent early warning module; the modules interact with each other based on digital signals.
[0008] The data acquisition module is used to collect the temperature and level values of the gear oil.
[0009] The temperature value and the liquid level value are then sent to the data processing module.
[0010] The data processing module is used to receive the temperature value and the liquid level value, and to obtain the liquid level deviation value based on the temperature value and the liquid level value;
[0011] And send the liquid level deviation value to the intelligent early warning module;
[0012] The intelligent early warning module is used to receive the liquid level deviation value and control the oil control valve according to the liquid level deviation value.
[0013] Preferably, the data acquisition module includes a temperature sensor and a liquid level sensor, both of which are installed inside the gear oil tank of the main reduction gear assembly of the axle.
[0014] Preferably, the data acquisition module acquires the temperature and level values of the gear oil, and the specific process includes:
[0015] Set the data acquisition period T; where T is a real number greater than 0, and the unit is seconds.
[0016] The temperature sensor collects the gear oil temperature value every Ts;
[0017] The temperature value is labeled W. i The unit is ℃; where i is the number of the acquisition period, and the value of i is 1, 2, 3...n;
[0018] The level sensor collects the gear oil level value every Ts;
[0019] The liquid level value is marked as Y. i The unit is cm;
[0020] The data acquisition module sends the temperature value and the liquid level value to the data processing module.
[0021] Preferably, the data processing module receives the temperature value and the liquid level value, and obtains the liquid level deviation value based on the temperature value and the liquid level value. The specific process includes:
[0022] The data processing module receives the temperature value;
[0023] Set the standard temperature value;
[0024] The standard temperature value is labeled W. 标 The unit is ℃;
[0025] The temperature difference is obtained based on the stated temperature value and the standard temperature value;
[0026] The temperature difference is denoted as ΔW.i The unit is ℃;
[0027] The formula for calculating the temperature difference is: ΔW i =|W i -W 标 |; where || is the absolute value symbol;
[0028] Set the temperature difference threshold;
[0029] The temperature difference threshold is denoted as ΔW. max The unit is ℃;
[0030] Determine the relationship between the temperature difference value and the temperature difference threshold;
[0031] When ΔW i ≤ΔW max At that time, the temperature difference was within the normal range;
[0032] When ΔW i >ΔW max At that time, the temperature difference exceeded the normal range.
[0033] Taking the moment when the data processing module receives the temperature value as the reference moment, the data processing module continues to receive N temperature values after the reference moment and integrates them to generate a set of temperature values.
[0034] The set of temperature values is {W} i W i+1 W i+2 , ...W i+N-1};
[0035] Obtain the corresponding temperature difference set based on the set of temperature values;
[0036] The set of temperature differences is {ΔW} i ΔW i+1 ΔW i+2 , ...ΔW i+N-1};
[0037] If at least N*85% of the temperature difference values in the set exceed the normal range, obtain the gear oil level value Y in the gear oil tank. i+N-1 ; where is the floor symbol;
[0038] Obtain the average temperature difference value, which is tagged as follows:
[0039] The formula for calculating the average temperature difference is:
[0040] The corresponding standard liquid level value is obtained based on the average temperature difference value and the standard liquid level value table in the database; the standard liquid level value is marked as Y.标 The unit is cm;
[0041] The liquid level deviation value is obtained based on the liquid level value and the standard liquid level value; the liquid level deviation value is marked as ΔY. i+N-1 ;
[0042] The formula for calculating the liquid level deviation value is: ΔY i+N-1 =|Y i+N-1 -Y 标 |;
[0043] The liquid level deviation value is sent to the intelligent early warning module.
[0044] Preferably, the intelligent early warning module receives the liquid level deviation value and controls the oil control valve according to the liquid level deviation value. The specific process includes:
[0045] The intelligent early warning module receives the liquid level deviation value;
[0046] When Y i+N-1 =Y 标 The intelligent early warning module sends a hold signal to the oil control valve, and the oil control valve maintains its current position;
[0047] When Y i+N-1 >Y 标 The intelligent early warning module sends an oil leakage signal to the oil control valve, and the oil control valve leaks gear oil according to the liquid level deviation value;
[0048] When Y i+N-1 <Y 标 The intelligent early warning module sends an oil supply signal to the oil control valve, which then supplies gear oil according to the liquid level deviation value.
[0049] Preferably, the data acquisition module is communicatively and / or electrically connected to the data processing module;
[0050] The data processing module communicates with and / or is electrically connected to the intelligent early warning module.
[0051] Compared with the prior art, the beneficial effects of the present invention are:
[0052] This invention acquires the temperature and level values of gear oil through a data acquisition module and sends these values to a data processing module. The data processing module receives the temperature and level values, obtains the level deviation value based on these values, and sends the level deviation value to an intelligent early warning module. The intelligent early warning module receives the level deviation value and controls the oil control valve based on it. This enables the monitoring of gear oil temperature and the control of the gear oil level based on the temperature, thereby improving the service life of the truck. Attached Figure Description
[0053] Figure 1 This is a schematic diagram of the present invention. Detailed Implementation
[0054] The technical solution of the present invention will be clearly and completely described below with reference to the embodiments. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.
[0055] like Figure 1 As shown, a truck axle assembly temperature monitoring system includes a data acquisition module, a data processing module, an intelligent control module, an intelligent early warning module, and a database; the modules interact with each other based on digital signals.
[0056] The data acquisition module is used to collect the temperature and level values of the gear oil.
[0057] The temperature value and the liquid level value are then sent to the data processing module.
[0058] The data processing module is used to receive the temperature value and the liquid level value, and to obtain the liquid level deviation value based on the temperature value and the liquid level value;
[0059] And send the liquid level deviation value to the intelligent early warning module;
[0060] The intelligent early warning module is used to receive the liquid level deviation value and control the oil control valve according to the liquid level deviation value.
[0061] It should be further explained that gear oil can lubricate the transmission system, reduce wear on gears and other moving parts, ensure the normal operation of the transmission system, and extend its service life; reduce friction and transmission losses in gear transmissions, and improve mechanical efficiency; because the contact friction of the tooth surface generates a lot of heat, if it is not dissipated in time, it will cause local high temperature on the tooth surface, and in severe cases, it will cause burning and adhesion; during the circulation lubrication process, gear oil continuously carries away the heat and dissipates it through the air and the transmission mechanism housing, ensuring the normal operation of the transmission components.
[0062] In this embodiment, the data acquisition module includes a temperature sensor and a liquid level sensor, both of which are installed inside the gear oil tank of the main reduction gear assembly of the axle.
[0063] The data acquisition module acquires the temperature and level values of the gear oil, and the specific process includes:
[0064] Set the data acquisition period T; where T is a real number greater than 0, and the unit is seconds.
[0065] The temperature sensor collects the gear oil temperature value every Ts;
[0066] The temperature value is labeled W. i The unit is ℃; where i is the number of the acquisition period, and the value of i is 1, 2, 3...n;
[0067] The level sensor collects the gear oil level value every Ts;
[0068] The liquid level value is marked as Y. i The unit is cm;
[0069] The data acquisition module sends the temperature value and the liquid level value to the data processing module.
[0070] The data processing module receives the temperature value and the liquid level value, and obtains the liquid level deviation value based on the temperature value and the liquid level value. The specific process includes:
[0071] The data processing module receives the temperature value;
[0072] Set the standard temperature value;
[0073] The standard temperature value is labeled W. 标 The unit is ℃;
[0074] The temperature difference is obtained based on the stated temperature value and the standard temperature value;
[0075] The temperature difference is denoted as ΔW. i The unit is ℃;
[0076] The formula for calculating the temperature difference is: ΔW i =|W i -W 标 |; where || is the absolute value symbol;
[0077] For example: |-5| = 5;
[0078] Set the temperature difference threshold;
[0079] The temperature difference threshold is denoted as ΔW. max The unit is ℃;
[0080] Determine the relationship between the temperature difference value and the temperature difference threshold;
[0081] When ΔW i ≤ΔW max At that time, the temperature difference was within the normal range;
[0082] When ΔW i >ΔW max At that time, the temperature difference exceeded the normal range.
[0083] Taking the moment when the data processing module receives the temperature value as the reference moment, the data processing module continues to receive N temperature values after the reference moment and integrates them to generate a set of temperature values.
[0084] The set of temperature values is {W} i W i+1 W i+2 , ...W i+N-1};
[0085] Obtain the corresponding temperature difference set based on the set of temperature values;
[0086] The set of temperature differences is {ΔW} i ΔW i+1 ΔW i+2 , ...ΔW i+N-1};
[0087] If at least N*85% of the temperature difference values in the set exceed the normal range, obtain the gear oil level value Y in the gear oil tank. i+N-1 ; where is the floor symbol;
[0088] For example: 4.3 = 4;
[0089] Obtain the average temperature difference value, which is tagged as follows:
[0090] The formula for calculating the average temperature difference is:
[0091] The corresponding standard liquid level value is obtained based on the average temperature difference value and the standard liquid level value table in the database; the standard liquid level value is marked as Y. 标 The unit is cm;
[0092] The liquid level deviation value is obtained based on the liquid level value and the standard liquid level value; the liquid level deviation value is marked as ΔY. i+N-1 ;
[0093] The formula for calculating the liquid level deviation value is: ΔY i+N-1 =|Y i+N-1 -Y 标 |;
[0094] The liquid level deviation value is sent to the intelligent early warning module.
[0095] In this embodiment, N is an integer greater than or equal to 10. Verification has shown that at least 10 temperature values are needed to guarantee an accurate liquid level deviation value. For example:
[0096] Assuming temperature values are collected once per second, with a baseline time of 10:00:01 AM, the 15 temperature values prior to the baseline time are extracted. That is, the data collected at 10:00:01 AM is the first temperature value, the data collected at 10:00:02 AM is the second temperature value, the data collected at 10:00:03 AM is the third temperature value, and so on, up to the baseline time, for a total of 15 temperature values. The data collected at 10:00:15 AM is the fifteenth temperature value. These 15 temperature values are sorted according to their collection time to form the raw data.
[0097] The intelligent early warning module receives the liquid level deviation value and controls the oil control valve according to the liquid level deviation value. The specific process includes:
[0098] The intelligent early warning module receives the liquid level deviation value;
[0099] When Y i+N-1 =Y 标 The intelligent early warning module sends a hold signal to the oil control valve, and the oil control valve maintains its current position;
[0100] When Y i+N-1 >Y 标 The intelligent early warning module sends an oil leakage signal to the oil control valve, and the oil control valve leaks gear oil according to the liquid level deviation value;
[0101] When Y i+N-1 <Y 标 The intelligent early warning module sends an oil supply signal to the oil control valve, which then supplies gear oil according to the liquid level deviation value.
[0102] In this embodiment, the data acquisition module is communicatively and / or electrically connected to the data processing module;
[0103] The data processing module communicates with and / or is electrically connected to the intelligent early warning module.
[0104] The above formulas are all numerical calculations after removing dimensions. The formulas are obtained by software simulation based on a large amount of data and are closest to the real situation. The preset parameters and preset thresholds in the formulas are set by those skilled in the art according to the actual situation or obtained by simulation based on a large amount of data.
[0105] Working principle of the invention:
[0106] Set the acquisition period T; the temperature sensor acquires the gear oil temperature value every Ts; the level sensor acquires the gear oil level value every Ts; the data acquisition module sends the temperature and level values to the data processing module;
[0107] The data processing module receives temperature values; sets a standard temperature value; obtains the temperature difference between the temperature value and the standard temperature value; sets a temperature difference threshold; determines the relationship between the temperature difference and the temperature difference threshold; using the moment the data processing module receives the temperature value as the baseline time, the data processing module continues to receive N temperature values after the baseline time and integrates them to generate a temperature value set; obtains the corresponding temperature difference set based on the temperature value set; when at least N*85% of the temperature difference values in the temperature difference set exceed the normal range, it obtains the gear oil level value in the gear oil tank; obtains the average temperature difference value, and obtains the corresponding standard liquid level value based on the average temperature difference value and the standard liquid level value table in the database; obtains the liquid level deviation value based on the liquid level value and the standard liquid level value; and sends the liquid level deviation value to the intelligent early warning module.
[0108] The intelligent early warning module receives the liquid level deviation value; when Y i+N-1 =Y 标 The intelligent early warning module sends a hold signal to the control valve, and the control valve maintains its current position; when Y i+N-1 >Y 标 The intelligent early warning module sends an oil leak signal to the oil control valve, which then releases gear oil based on the liquid level deviation. i+N-1 <Y 标 The intelligent early warning module sends an oil supply signal to the oil control valve, which then supplies gear oil based on the liquid level deviation.
[0109] The above embodiments are only used to illustrate the technical methods of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical methods of the present invention without departing from the spirit and scope of the technical methods of the present invention.
Claims
1. A temperature monitoring system for a truck axle assembly, characterized in that, It includes a data acquisition module, a data processing module, an intelligent control module, and an intelligent early warning module; The various modules exchange information based on digital signals; The data acquisition module is used to acquire the temperature and level values of the gear oil, including: Set the data acquisition period T; where T is a real number greater than 0, and the unit is seconds. The temperature sensor collects the gear oil temperature value every Ts. The temperature value is labeled W. i The unit is ℃; where i is the number of the acquisition period, and the value of i is 1, 2, 3...n; The level sensor collects the gear oil level value every Ts; The liquid level value is marked as Y. i The unit is cm; Furthermore, the data acquisition module sends the temperature value and the liquid level value to the data processing module; The data processing module is used to receive the temperature value and the liquid level value, and to obtain the liquid level deviation value based on the temperature value and the liquid level value, including: The data processing module receives the temperature value; Set the standard temperature value; The standard temperature value is labeled W. 标 The unit is ℃; The temperature difference is obtained based on the stated temperature value and the standard temperature value; The temperature difference is denoted as ΔW. i The unit is ℃; The formula for calculating the temperature difference is: ΔW i =|W i -W 标 |; where || is the absolute value symbol; Set the temperature difference threshold; The temperature difference threshold is denoted as ΔW. max The unit is ℃; Determine the relationship between the temperature difference value and the temperature difference threshold; When ΔW i ≤ΔW max At that time, the temperature difference was within the normal range; When ΔW i >ΔW max At that time, the temperature difference exceeded the normal range; Taking the moment when the data processing module receives the temperature value as the reference moment, the data processing module continues to receive N temperature values after the reference moment and integrates them to generate a set of temperature values. Obtain the corresponding temperature difference set based on the set of temperature values; If at least N*85% of the temperature difference values in the set exceed the normal range, obtain the gear oil level value Y in the gear oil tank. i+N-1 ; Obtain the average temperature difference value, which is tagged as follows: ; The corresponding standard liquid level value is obtained based on the average temperature difference value and the standard liquid level value table in the database. The standard liquid level value is marked as Y. 标 The unit is cm; The liquid level deviation value is obtained based on the liquid level value and the standard liquid level value; the liquid level deviation value is marked as ΔY. i+N-1 The formula for calculating the liquid level deviation is: ΔY i+N-1 =|Y i+N-1 -Y 标 |; Furthermore, the data processing module sends the liquid level deviation value to the intelligent early warning module; The intelligent early warning module is used to receive the liquid level deviation value and control the oil control valve according to the liquid level deviation value, including: The intelligent early warning module receives the liquid level deviation value; When Y i+N-1 =Y 标 The intelligent early warning module sends a hold signal to the oil control valve, and the oil control valve maintains its current position; When Y i+N-1 >Y 标 The intelligent early warning module sends an oil leakage signal to the oil control valve, and the oil control valve leaks gear oil according to the liquid level deviation value; When Y i+N-1 <Y 标 The intelligent early warning module sends an oil supply signal to the oil control valve, which then supplies gear oil according to the liquid level deviation value.
2. The truck axle assembly temperature monitoring system according to claim 1, characterized in that, The data acquisition module includes a temperature sensor and a liquid level sensor, both of which are installed inside the gear oil tank of the main reduction gear assembly of the axle.
3. The truck axle assembly temperature monitoring system according to claim 1, characterized in that, The data acquisition module is communicatively and / or electrically connected to the data processing module; The data processing module communicates with and / or is electrically connected to the intelligent early warning module.