Heat dissipation method and system for array multi-parameter sensor

Abstract

The application provides a heat dissipation method and system of an array multi-parameter sensor. The method comprises: performing steady heat exchange calculation on thermodynamic state data of a to-be-detected gas according to structure parameters to generate first state data of an outlet of the flow guide air duct, performing flow splitting and pressure equalization calculation on the first state data according to the structure parameters to generate second state data of a main channel after flow splitting and a pressure relief port, performing adiabatic mixing and equalization calculation on the second state data according to the specific heat capacity parameters to generate equalized temperature data of an inlet of a matrix electrode array, performing temperature difference calculation on the equalized temperature data according to working temperature interval parameters of each sensitive material to obtain detection temperature data, and adjusting the gas working condition of the sensor inlet according to the detection temperature data. The application adjusts the inlet gas working condition in a reverse direction according to the temperature difference result through flow guide heat exchange, pressure relief flow splitting and adiabatic equalization, so that the gas is stably matched with the working interval of the sensitive material before entering the array, thereby improving the detection stability.

Description

Technical Field

[0001] This application relates to the field of sensing and modulation technology, and in particular to a heat dissipation method and system for an array-type multi-parameter sensor. Background Technology

[0002] With increasingly stringent regulations on vehicle emissions, on-board gas sensors need to perform real-time, high-precision detection of multiple components such as NOx, CO, and HC in exhaust gas environments characterized by high temperatures, large fluctuations, and high levels of impurities. Furthermore, matrix-type multi-parameter electrodes place even higher demands on the temperature consistency of the gas before it enters the chip. Existing gas sensor heat dissipation control methods mainly include direct-contact, heat-free structures; external gas acquisition and heat dissipation structures; and chip-embedded fixed airflow channels. The first two rely on the chip's own heat resistance or external cooling channels, while the latter uses fixed airflow channels, pressure relief ports, and mixing structures to passively cool, depressurize, and homogenize the exhaust gas to meet basic detection requirements.

[0003] However, existing methods rely primarily on fixed structures or passive heat exchange for heat dissipation, failing to dynamically predict and regulate based on real-time changes in inlet gas temperature, pressure, and flow rate. Consequently, under wide-range exhaust gas conditions, issues such as insufficient heat dissipation at high temperatures, substandard temperatures at low temperatures, and inconsistent operating temperatures of different electrodes are prone to occur. Especially for integrally molded fixed-flow ceramic chips, parameters such as gas channel length, orifice diameter, and pressure relief port size cannot be adjusted after sintering. This makes it difficult to balance cooling efficiency, response speed, and temperature consistency of the multi-parameter electrode array when facing fluctuations in operating conditions, leading to signal drift, decreased accuracy, and shortened lifespan. Summary of the Invention

[0004] In view of this, this application provides a heat dissipation method and system for an array-type multi-parameter sensor, which improves the sensor's detection stability.

[0005] On one hand, embodiments of this application provide a heat dissipation method for an array-type multi-parameter sensor, the method comprising: Based on the preset structural parameters, the steady-state heat exchange of the gas to be detected at the inlet of the drainage airway is calculated by real-time acquisition of thermodynamic state data of the gas to be detected, and the first state data of the outlet of the drainage airway is generated. Based on the structural parameters, the first state data is subjected to pressure relief port diversion and pressure equalization calculations to generate the second state data of the main channel and pressure relief port after diversion. Based on the preset pressure-to-heat ratio parameters and the pressure relief mass flow rate data and detection mass flow rate data in the second state data, the temperature equalization calculation of gas mixing is performed on the temperature data of the main channel and pressure relief port in the second state data to generate the equalization temperature data of the matrix electrode array inlet. Based on the preset operating temperature range parameters of each sensitive material in the matrix electrode array, the temperature difference is calculated to obtain the detection temperature data from the equilibrium temperature data, and the gas conditions at the inlet of the drainage channel are adjusted according to the detection temperature data through a preset feedback adjustment method.

[0006] In an optional implementation, the method further includes: The gas temperature, gas pressure, and gas flow rate parameters of the gas to be detected at the inlet of the drainage airway are collected in real time. Calculate the gas density parameter at the inlet of the drainage airway based on the gas temperature parameter and the gas pressure parameter; The gas mass flow rate parameter of the inlet of the drainage airway is calculated based on the preset cross-sectional area parameter, gas density parameter, and gas flow rate parameter of the drainage airway inlet.

[0007] In an optional implementation, the step of performing steady-state heat exchange calculations on the thermodynamic state data of the gas to be detected at the inlet of the drainage airway based on preset structural parameters, and generating first state data of the outlet of the drainage airway, includes: Based on the airway geometry parameters, the material thermophysical parameters, and the gas mass flow rate parameters, the Reynolds number of the gas to be detected in the drainage airway is calculated, and the Reynolds number is converted into a convective heat transfer coefficient through the correlation rules between airflow state and convective heat transfer. Based on the convective heat transfer coefficient, the gas duct geometric parameters, the material thermal property parameters, and the gas mass flow rate parameters, the gas temperature parameters are calculated to obtain the first gas temperature data at the outlet of the drainage gas duct. Based on the airway geometric parameters, the gas density parameters, and the preset friction coefficient, the pressure loss along the drainage airway is calculated based on the gas pressure parameters to obtain the first gas pressure data at the outlet of the drainage airway.

[0008] In an optional implementation, the step of performing flow diversion and pressure equalization calculations on the first state data based on the structural parameters to generate second state data for the main channel and the pressure relief port after flow diversion includes: Real-time acquisition of ambient pressure data outside the pressure relief port, and calculation of pressure relief mass flow rate data diverted through the pressure relief port based on the pressure relief geometric parameters, the flow coefficient parameters, the first gas pressure data, and the ambient pressure data; The difference between the gas mass flow rate parameter in the thermodynamic state data and the pressure relief mass flow rate data is calculated to obtain the detected mass flow rate data of the gas passing through the main channel.

[0009] In an optional implementation, the step of calculating the temperature difference in the equilibrium temperature data based on preset operating temperature range parameters of each sensitive material in the matrix electrode array to obtain the detection temperature data includes: Based on the lower limit parameter and upper limit parameter of the working temperature range, calculate the temperature intersection range that satisfies all working temperature range parameters. Based on the lower and upper limits of the temperature intersection interval, the target operating temperature data is calculated, and the difference between the equilibrium temperature data and the target operating temperature data is calculated to obtain the detection temperature data.

[0010] In an optional implementation, adjusting the gas conditions at the inlet of the drainage airway based on the detected temperature data using a preset feedback adjustment method includes: When the detected temperature data is positive, the sensor heat dissipation is reversed based on the preset isobaric specific heat capacity parameter of the gas to be detected, the detected temperature data, the convective heat transfer coefficient, the gas channel geometric parameters and the gas mass flow rate parameter, to obtain the first temperature adjustment amount data of the inlet of the drainage gas channel. According to the preset temperature and flow rate mapping relationship, the first temperature adjustment amount data is converted into a first adjustment request instruction to reduce the mass flow rate of the gas to be detected through the inlet of the drainage airway. When the detected temperature data is negative, the sensor heat dissipation is reversed based on the preset isobaric specific heat capacity parameter of the gas to be detected, the detected temperature data, the convective heat transfer coefficient, the gas channel geometric parameters and the gas mass flow rate parameter, to obtain the second temperature adjustment data of the inlet of the drainage gas channel. According to the preset temperature and flow rate mapping relationship, the second temperature adjustment data is converted into a second adjustment request command to increase the mass flow rate of the gas to be detected through the inlet of the drainage airway. The first adjustment request command or the second adjustment request command is sent to the preset upstream air circuit control unit via a preset vehicle bus to adjust the gas conditions at the inlet of the diversion airway.

[0011] On one hand, embodiments of this application provide a heat dissipation device for an array-type multi-parameter sensor, the device comprising: The airway detection module is used to perform steady-state heat exchange calculations on the thermodynamic state data of the gas to be detected at the inlet of the airway in real time, based on preset structural parameters, and generate the first state data of the outlet of the airway. The diversion analysis module is used to perform diversion and pressure equalization calculations on the first state data based on the structural parameters, and generate the second state data of the main channel and the pressure relief port after diversion. The mixing and homogenization module is used to perform temperature equalization calculations on the gas mixing of the temperature data of the main channel and the pressure relief port in the second state data based on preset pressure specific heat capacity parameters and the pressure relief mass flow rate data and detection mass flow rate data in the second state data, and generate equalization temperature data at the inlet of the matrix electrode array. The feedback adjustment module is used to calculate the temperature difference of the equilibrium temperature data according to the preset working temperature range parameters of each sensitive material in the matrix electrode array to obtain the detection temperature data, and to adjust the gas conditions at the inlet of the drainage channel according to the detection temperature data through a preset feedback adjustment method.

[0012] The embodiments of this application employing the above-described technical solution may have the following advantages: 1. By diverting steady-state heat exchange, depressurizing and diverting pressure equalization, and adiabatic homogenization of the mixing chamber, the temperature and pressure fluctuations of the gas to be detected are gradually reduced, making the gas state at the inlet of the matrix electrode array more stable, thereby reducing interference caused by local overheating, thermal shock and uneven flow field of the chip.

[0013] 2. By matching the intersection of the balanced temperature data with the operating temperature range of each sensitive material, and then using the temperature difference result to drive the inlet gas condition feedback adjustment, the gas state can be actively pulled back to the suitable range, improving the detection consistency, sensitivity and repeatability of multi-parameter sensors in a wide temperature range and complex operating conditions. Attached Figure Description

[0014] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0015] Figure 1 This is a flowchart of a heat dissipation method for an array-type multi-parameter sensor provided in an embodiment of this application; Figure 2 This is a functional block diagram of a heat dissipation device for an array-type multi-parameter sensor provided in an embodiment of this application; Figure 3 This is a schematic diagram of the structure of a computer device provided in an embodiment of this application; Figure 4 This is a schematic diagram of the structure of the wide-area high-performance array-type multi-parameter sensor provided in the embodiments of this application.

[0016] Explanation of reference numerals in the attached figures: 1. Ceramic substrate; 2. Matrix electrode array; 3. Mixing chamber; 4. Drainage airway inlet; 5. Drainage airway; 6. Pressure relief port; 7. Main channel. Detailed Implementation

[0017] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0018] It should be noted that the message processing solution provided in this application requires special explanation of the following two points: 1. The relevant data (such as structural parameters, etc.) involved in the message processing process in this application. When the above embodiments of this application are applied to specific products or technologies, permission or consent from the target audience is required, and the collection, use, and processing of relevant data must comply with the relevant laws, regulations, and standards of the region, conforming to the principles of legality, legitimacy, and necessity, and not involving the acquisition of data types prohibited or restricted by laws and regulations. In some optional embodiments, the relevant data involved in the embodiments of this application is obtained after separate authorization from the target audience. In addition, when obtaining separate authorization from the target audience, the purpose of the relevant data is explained to the target audience.

[0019] 2. It is understood that in this application, the term "at least one" refers to one or more, and "multiple" means two or more; for example, "at least one notification method" means one, two, or more notification methods. The terms "first," "second," etc., are used to distinguish identical or similar items with essentially the same function. It should be understood that there is no logical or temporal dependency between "first," "second," and "nth," nor is there any limitation on the quantity or execution order.

[0020] like Figure 4 The diagram shown is a schematic representation of the structure of a wide-area high-performance array-type multi-parameter sensor provided in an embodiment of this application. The wide-area high-performance array-type multi-parameter sensor provided in this embodiment includes: a ceramic substrate 1, a matrix electrode array 2, a mixing chamber 3, a drainage air inlet 4, a drainage airway 5, a pressure relief port 6, and a main channel 7.

[0021] The ceramic substrate 1 is a millimeter-scale rectangular sheet integrally sintered from a zirconium oxide / alumina system. It serves as the core support substrate for all functional structures of the chip, featuring an integrally formed internal flow channel and cavity structure, and a flat encapsulation bonding surface on the outer surface. It provides stable support for the chip with high temperature resistance, corrosion resistance, and high insulation. Its fixed thermophysical parameters are the fundamental boundary conditions for the heat dissipation method of this application. The drainage air inlet 4 is a circular through-hole penetrating the gas-facing end face of the substrate, with a conventional cross-sectional diameter of less than 2 mm. Located at the very front of the chip's gas flow path, it directly connects the automotive exhaust pipe to the internal drainage air channel. It is the only entry point for high-temperature exhaust gas into the chip and the core collection point for the thermodynamic parameters of the inlet gas. Its fixed cross-sectional area is the core fundamental parameter for calculating the gas mass flow rate. The drainage air channel 5 is a serpentine, slender flow channel integrally sintered inside the substrate. By extending the gas transmission path, it achieves sufficient convective heat exchange and cooling between the high-temperature exhaust gas and the ceramic wall, while simultaneously blocking particulate impurities in the exhaust gas. Its fixed geometric parameters are the core boundary conditions for the steady-state heat exchange calculation of the drainage air channel. The pressure relief port 6 is a circular through-hole adjacent to the outlet of the drainage airway. One end connects to the high-pressure flow channel, and the other end connects to the external low-pressure area. It can balance the pressure accumulation in the long airway, regulate the gas flow in the main channel, and avoid sensor response lag. Its fixed structural parameters are the core boundary for the pressure relief port diversion and pressure equalization calculation. The main channel 7 is a short direct current channel connecting the outlet of the drainage airway and the mixing chamber. It is adjacent to the pressure relief port and provides a stable delivery path for the main airflow after diversion, ensuring continuous closed-loop flow. The mixing chamber 3 is a fixed-volume cavity integrally formed inside the substrate. It is located downstream of the main channel 7 and upstream of the matrix electrode array 2. It can provide an adiabatic mixing space for the two airflows, eliminate the unevenness of flow field temperature and pressure, and ensure that the gas state entering the detection area is consistent. The matrix electrode array 2 consists of multiple sets of micro-thin film electrode units arranged in a regular matrix. It is located in the detection chamber at the end of the flow path. Each set of electrodes is coated with a different gas-sensitive material, which can realize the simultaneous detection of multiple components of gas. The operating temperature range of each sensitive material is the core benchmark for the temperature qualification of the heat dissipation method.

[0022] like Figure 1 The diagram shows a flowchart of a heat dissipation method for an array-type multi-parameter sensor provided in an embodiment of this application. The heat dissipation method for an array-type multi-parameter sensor provided in this application includes the following steps.

[0023] Step S1: Based on the preset structural parameters, perform steady-state heat exchange calculations on the thermodynamic state data of the gas to be detected at the inlet of the drainage channel in real time, and generate the first state data of the outlet of the drainage channel.

[0024] It should be understood that the structural parameters are derived from the physical properties of the chip that are permanently fixed after the chip is integrally sintered into ceramic, including but not limited to the equivalent length, hydraulic diameter, cross-sectional perimeter and cross-sectional area of ​​the airflow channels, as well as the material thermal properties of the ceramic matrix, such as thermal conductivity and specific heat capacity. These parameters, as the basic boundary conditions of the entire heat dissipation method, are pre-entered into the control system and remain constant throughout the calculation process, ensuring that all subsequent processing is carried out under the hard constraints that cannot be changed by the chip hardware.

[0025] First, the thermodynamic state data of the gas to be detected, acquired in real time at the inlet of the gas inlet channel, is processed. Thermodynamic state data specifically refers to three core physical quantities describing the initial state of the gas before it enters the chip's gas inlet channel: gas temperature, gas pressure, and gas mass flow rate. The gas temperature parameter is obtained by installing a fast-response miniature thermocouple at the center of the cross-section of the gas inlet of the chip. The probe of this thermocouple is directly exposed to the gas flow, and the instantaneous temperature of the gas is measured with a sampling period of milliseconds. Since the cross-sectional area of ​​the gas inlet is designed to be extremely small, with a diameter of less than two millimeters, the temperature distribution of the gas on the cross-section can be considered uniform. Therefore, this single-point measurement is considered the average temperature of the entire inlet cross-section and is recorded as the gas temperature parameter. The gas pressure parameter is obtained by installing a miniature absolute pressure sensor at the same inlet cross-section and measuring the absolute pressure of the gas entering the chip with the same sampling period. This is recorded as the gas pressure parameter. The gas flow rate parameter is obtained by directly measuring the average flow rate of the gas through the inlet cross-section using a differential pressure flow rate sensor integrated at the inlet. This is recorded as the gas flow rate parameter.

[0026] After obtaining the three basic parameters mentioned above, since gas is a compressible fluid, its mass flow rate cannot be simply converted from volumetric flow rate. It must be accurately calculated in conjunction with the density under the current conditions. Specifically, firstly, based on the ideal gas law, using the obtained gas temperature and pressure parameters, the density parameter of the gas under inlet conditions is calculated, i.e., the mass of gas per unit volume. Then, the preset cross-sectional area parameter of the inlet of the drainage channel (this area is a structural parameter fixed at the chip manufacturing stage) is multiplied by the calculated gas density parameter and the real-time collected gas velocity parameter to obtain the accurate gas mass flow rate parameter. The gas mass flow rate parameter is the core input for all subsequent heat exchange and flow calculations. It determines the gas flow velocity and residence time in a fixed-length channel, directly affecting the heat exchange between the gas and the ceramic wall. Therefore, it must be accurately calculated based on real-time operating conditions.

[0027] After obtaining complete thermodynamic state data, the steady-state heat exchange calculation stage of the drainage airway begins. The core task of this stage is to predict the state changes of the gas as it flows from the inlet to the outlet using analytical formulas of heat transfer and fluid dynamics, without altering the fixed geometry of the drainage airway, thereby generating the first state data of the drainage airway outlet. This first state data consists of three parameters: first gas temperature, first gas pressure, and first gas flow rate. These parameters collectively describe the thermodynamic state of the gas being tested as it leaves the drainage airway and is about to enter the pressure relief port region.

[0028] First, the Reynolds number of the gas within the air passage is calculated. The Reynolds number, a dimensionless number, characterizes whether the fluid flow is laminar or turbulent, directly determining the appropriate convective heat transfer correlation for subsequent calculations. Specifically, the fixed hydraulic diameter and cross-sectional area of ​​the air passage (air passage geometric parameters include the fixed hydraulic diameter and cross-sectional area) are retrieved from preset structural parameters. The dynamic viscosity of the gas is obtained from the material thermophysical properties, and combined with the previously calculated gas mass flow rate parameters, these are substituted into the Reynolds number definition to solve. After obtaining the Reynolds number, the flow state is determined based on its value, and the Reynolds number is converted into a convective heat transfer coefficient according to the correlation rules between airflow state and convective heat transfer. Under the mainstream operating conditions of automotive exhaust, the gas is typically in a turbulent state within the air passage; therefore, a classical correlation suitable for turbulence is used, combined with the Prandtl number, thermal conductivity, and fixed hydraulic diameter of the gas, to calculate the average convective heat transfer coefficient between the gas and the air passage wall. The convective heat transfer coefficient is a quantitative indicator that describes the intensity of heat transfer between a gas and a solid wall. Its value directly determines the degree to which the gas can be cooled when it flows through a fixed-length gas channel.

[0029] After obtaining the convective heat transfer coefficient, the gas temperature parameters are calculated for temperature decay. This application uses an exponential decay model in heat transfer to calculate the temperature decay, the physical meaning of which is that when gas flows through a wall with a constant temperature, the gas temperature approaches the wall temperature exponentially along the flow direction. Specifically, the fixed cross-sectional perimeter and equivalent length of the air passage are retrieved from preset structural parameters (the geometric parameters of the air passage include the fixed cross-sectional perimeter and equivalent length). Combined with the calculated convective heat transfer coefficient, gas mass flow rate parameter, and gas isobaric specific heat capacity parameter, the inlet temperature parameter is subjected to exponential decay processing to solve for the gas temperature at the air passage outlet. Through the above calculation, the cooling effect of the gas in the fixed structure is accurately quantified, solving the core problem that fixed structure chips cannot predict the heat dissipation effect under different operating conditions.

[0030] Simultaneously, pressure loss along the flow path is calculated for the gas pressure parameters. As gas flows through a narrow channel, friction with the wall inevitably causes pressure loss, which directly affects the subsequent gas flow distribution at the pressure relief port and the sensor's response speed. Specifically, firstly, based on the gas density and velocity parameters in the channel, combined with a preset friction coefficient (determined by the Reynolds number and wall roughness), the Darcy-Weisbach formula is used to calculate the pressure loss along the flow path. Then, this loss is subtracted from the gas pressure parameters measured at the inlet to obtain the first gas pressure data at the outlet. At the same time, based on the principle of mass flow conservation, combined with the gas density at the outlet (calculated from the first gas temperature and pressure data) and a fixed channel cross-sectional area, the instantaneous gas velocity at the outlet of the drainage channel is calculated and recorded as the gas velocity data.

[0031] Finally, the gas velocity data generated in the above calculations are averaged with the initially collected gas velocity parameters to generate the first gas velocity at the outlet of the drainage channel. By smoothing the velocity difference between the inlet and outlet sections, a characteristic velocity (i.e., the first gas velocity) that can represent the average flow state of the gas in the drainage channel is obtained. The first gas velocity is used as a key parameter characterizing the gas momentum in the subsequent pressure relief port diversion calculation.

[0032] Step S2: Based on the structural parameters, perform flow diversion and pressure equalization calculations on the first state data to generate the second state data of the main channel and the pressure relief port after flow diversion.

[0033] When gas flows in a long, narrow channel, the pressure at the outlet is often lower than the pressure at the inlet due to frictional losses along the flow path. If the pressure is not balanced, the gas velocity in the subsequent flow path will gradually decrease, leading to a decrease in the sensor's response speed. Simultaneously, gas stagnation may form within the long channel, delaying gas renewal and affecting the real-time performance of the detection. To address these issues, the wide-area, high-performance array-type multi-parameter sensor of this application integrally sinters a pressure relief port at the outlet of the drainage channel. One end of this pressure relief port connects to the high-pressure area within the channel, and the other end connects to the external low-pressure environment, balancing the channel pressure through active flow diversion. Step S2 of this application quantitatively calculates the diversion effect of this fixed pressure relief structure, thereby obtaining the state parameters of the main channel and the pressure relief branch after diversion, providing accurate input for the subsequent homogenization process in the mixing chamber. It should be understood that the structural parameters in step S2 are fixed physical quantities related to the pressure relief port. The structural parameters include the pressure relief geometry and flow coefficient parameters of the pressure relief port. The pressure relief geometry includes the cross-sectional area and flow coefficient of the pressure relief port, both of which are permanently fixed after the chip is integrally sintered. The cross-sectional area determines the flow capacity of gas through the pressure relief port, while the flow coefficient characterizes the influence of the pressure relief port geometry on flow resistance. For a pressure relief port with a circular through-hole structure, the flow coefficient is typically between 0.6 and 0.8.

[0034] First, the ambient pressure data outside the pressure relief port is collected in real time. This data is obtained using an absolute pressure sensor installed externally to the chip or on the vehicle chassis. This sensor continuously measures the pressure value of the external space to which the pressure relief port leads. For vehicle applications, the ambient pressure changes significantly when the vehicle travels at different altitudes. For example, in high-altitude areas, the ambient pressure is much lower than standard atmospheric pressure. This change directly affects the pressure difference across the pressure relief port, thus altering the magnitude of the diversion flow. Therefore, the ambient pressure data must be collected in real time rather than using a fixed constant value to ensure that the diversion calculation can adapt to changes in vehicle operating conditions. After obtaining the ambient pressure data, the pressure relief mass flow rate diverted through the pressure relief port is calculated based on the pressure relief geometric parameters, flow coefficient parameters, the first gas pressure data, and the ambient pressure data. This application uses the orifice flow rate formula, which describes the quantitative relationship between the mass flow rate of gas passing through a small orifice driven by a pressure difference and the pressure difference. Specifically, the pressure of the gas at the pressure relief port inlet (i.e., the outlet of the drainage channel) is the first gas pressure data, and the pressure at the pressure relief port outlet is the ambient pressure data. The difference between the two constitutes the driving force for the gas diversion. The cross-sectional area of ​​the pressure relief port determines the airflow capacity, while the flow coefficient corrects for flow losses caused by streamline contraction during actual flow. By substituting these four parameters into the orifice flow rate formula, the mass of gas diverted from the drainage duct to the external environment per unit time can be obtained, i.e., the pressure relief mass flow rate. The value of the pressure relief mass flow rate directly determines the flow rate of the remaining gas in the main channel, thus affecting the gas flow velocity and heat exchange time in subsequent flow paths. It is a crucial bridge connecting the outlet state of the drainage duct and the inlet state of the mixing chamber.

[0035] After the gas is diverted at the pressure relief port, the gas flow rate in the main channel differs from the original flow rate at the inlet. Subsequent homogenization calculations in the mixing chamber and temperature qualification determinations must be based on this corrected flow rate data. Directly using the inlet flow rate parameter would lead to deviations in the mixing temperature calculation. Therefore, the difference between the gas mass flow rate parameter in the thermodynamic state data and the pressure relief mass flow rate data is calculated to obtain the detected mass flow rate data of the gas passing through the main channel. The gas mass flow rate parameter represents the total gas mass flow rate entering the chip from the sensor's gas inlet. According to the law of conservation of mass, at the outlet of the drainage channel, the total mass flow rate equals the sum of the mass flow rate diverted at the pressure relief port and the remaining mass flow rate in the main channel. Therefore, by subtracting the pressure relief diversion flow rate from the total mass flow rate, the accurate mass flow rate of the gas continuing to flow forward along the main channel and about to enter the mixing chamber—that is, the detected mass flow rate data—can be obtained.

[0036] Because the pressure relief port and the outlet of the diversion channel are spatially adjacent, the path for heat exchange between the gas and the ceramic wall during the diversion process is extremely short. The gas temperature does not change measurably before and after the diversion, and the diversion process itself does not generate additional energy loss. Therefore, the two gas streams after diversion maintain the same temperature and pressure as the outlet of the diversion channel. Thus, the first gas temperature and pressure data can be directly used as the temperature and pressure of the gas in the pressure relief port and the main channel. Consequently, the first gas temperature data, first gas pressure data, and pressure relief mass flow rate data are encapsulated as pressure relief port status data, and the first gas temperature data, first gas pressure data, and detected mass flow rate data are encapsulated as main channel status data. The pressure relief port status data records the flow rate and status of the gas diverted through the pressure relief port; the main channel status data records the flow rate and status of the gas continuing to flow forward.

[0037] Step S3: Based on the preset pressure-to-heat capacity parameters and the pressure relief mass flow rate data and detection mass flow rate data in the second state data, perform gas mixing temperature equalization calculation on the temperature data of the main channel and pressure relief port in the second state data to generate equalization temperature data of the matrix electrode array inlet.

[0038] Combination Figure 4As can be seen, the matrix electrode array is arranged in a regular matrix and consists of multiple micro-film electrode units, each coated with a different gas-sensitive material, for the simultaneous detection of multiple components in the exhaust gas. To achieve this multi-parameter synchronous detection function, the chip does not have only a single main channel. Instead, downstream of the outlet of the guide gas channel, multiple independent main channels are set in parallel according to the arrangement of the electrode array. Each main channel connects the outlet of the guide gas channel to the mixing chamber, delivering the split gas to different inlets of the mixing chamber. If there are temperature differences between the multiple gases entering the mixing chamber, it will lead to uneven gas temperature distribution within the mixing chamber. Consequently, the electrode units at different positions in the matrix electrode array will be exposed to inconsistent gas temperatures, resulting in differences in the electrochemical reaction rates of each electrode. This causes signal drift in the multi-parameter detection results, making it impossible to achieve simultaneous and accurate measurement of multiple components. To solve this problem, a fixed-volume cavity structure, namely the mixing chamber, is integrally sintered at the end of the flow path and upstream of the matrix electrode array. The function of the mixing chamber is to thoroughly mix the multiple streams of gas flowing in from the multiple main channels, eliminating any temperature, pressure, and flow rate unevenness that may be caused by differences in the paths of the different main channels. Step S3 performs adiabatic mixing and homogenization calculations on the multiple streams of gas flowing into the mixing chamber from the multiple main channels, thereby obtaining the unified gas state parameters at the inlet of the matrix electrode array.

[0039] In step S3 of this application, the structural parameters are related to a fixed physical quantity in the mixing process—the isobaric specific heat capacity parameter. The isobaric specific heat capacity parameter is the specific heat capacity of the gas under constant pressure. This parameter is derived from a gas property database. For multi-component mixed gases such as automobile exhaust, the isobaric specific heat capacity exhibits a specific functional relationship with temperature, and its value needs to be dynamically determined based on the current gas temperature during calculation. The isobaric specific heat capacity parameter characterizes the amount of heat required to increase the temperature per unit mass of gas under constant pressure, and is a core physical property parameter in energy conservation calculations.

[0040] First, based on the detected mass flow rate data corresponding to each main channel in the second state data, the total mass flow rate after mixing is calculated. The second state data originates from the packaging result in step S2, where the detected mass flow rate data represents the gas mass flow rate entering different inlets of the mixing chamber after passing through each main channel. In the actual chip structure, the pressure relief port is only directly connected to the outlet of the drainage gas channel. Its diversion effect only occurs before the gas enters the main channel. The diverted gas all enters the main channel, while the gas in the pressure relief branch is directly discharged to the external environment of the sensor and does not enter the mixing chamber. Therefore, the gas entering the mixing chamber all comes from each main channel, excluding the pressure relief branch. Based on the law of conservation of mass, in the closed cavity of the mixing chamber, the total mass of the gas flowing in is equal to the total mass of the gas flowing out of the mixing chamber. Since the mixing chamber itself does not have the capacity to store gas, the gas flows continuously through the mixing chamber. Therefore, the mass flow rate of the gas flowing out of the mixing chamber outlet should be equal to the sum of the mass flow rates of the gas flowing in from all main channels. The total mass flow rate of the mixed gas can be obtained by summing the detected mass flow rate data corresponding to each main channel in the second state data. The total mass flow rate data is the basis for determining the weighting factor of each gas stream in the subsequent energy conservation calculation, and it is also the basis for judging the flow state of the gas at the outlet of the mixing chamber. If the total mass flow rate data shows abnormal fluctuations, it may indicate that there is a blockage or leakage fault in a certain main channel.

[0041] Based on this, according to the constant pressure specific heat capacity parameter and the detected mass flow rate data of each main channel, the temperature equalization calculation of gas mixing is performed on the temperature data corresponding to each main channel in the second state data to obtain the equalization temperature data. The temperature data corresponding to each main channel in the second state data all come from the first gas temperature data of the outlet of the drainage channel generated in step S1, and this temperature value remains unchanged in the flow splitting calculation in step S2. However, in actual engineering applications, due to the possibility of slight manufacturing tolerances in the geometric dimensions of different main channels during the chip sintering process, or radial differences in the gas temperature distribution at the outlet of the drainage channel, the gas temperatures at the inlets of different main channels may not be completely equal. If such a slight temperature difference exists, the mixing chamber must eliminate its influence through thorough mixing; even if the temperatures of each main channel are completely equal, the temperature equalization calculation still needs to be performed. The reason is that the energy conservation principle embodied in this calculation step is an organic component of the entire heat dissipation method logic chain. Its existence ensures the integrity and self-consistency of the technical solution, while guaranteeing the accuracy of the calculation results within a reasonable tolerance range in chip manufacturing.

[0042] The temperature equilibrium calculation used in this application is based on the law of conservation of energy, which states that during adiabatic mixing, the total internal energy of the mixed gas is equal to the sum of the internal energies of the multiple gases before mixing. Since the isobaric specific heat capacity remains constant before and after mixing, and no chemical reaction occurs during the mixing process, the energy conservation relationship can be simplified to a mass-weighted average. Specifically, the equilibrium temperature after mixing is equal to the sum of the gas mass flow rates of each main channel multiplied by their corresponding temperatures, divided by the total mass flow rate. This calculation process ensures that the temperature of the mixed gas physically represents the average energy of the multiple gases before mixing, with the main channel having a larger mass flow rate contributing more weight to the mixing temperature, consistent with the fundamental physical law of energy conservation. The equilibrium temperature data obtained through this calculation eliminates any potential temperature differences between the main channels, ensuring that the gas entering the matrix electrode array reaches a uniform temperature state.

[0043] After completing the two core calculations mentioned above, the equilibrium temperature data and total mass flow rate data are encapsulated into third-state data. The equilibrium temperature data in the third-state data is the direct object of subsequent temperature compliance determination. It will be compared with the operating temperature range of each sensitive material in the matrix electrode array to determine whether the current heat dissipation effect meets the common requirements of all materials. The total mass flow rate data in the third-state data is used to help determine whether the gas flow rate is within the optimal response range of the sensor. If the total flow rate is too low, it may cause the gas to stay in the mixing chamber for too long, resulting in a delayed response. If the total flow rate is too high, it may cause the gas to be discharged before it is fully mixed, reducing the mixing and homogenization effect.

[0044] Step S4: Based on the preset operating temperature range parameters of each sensitive material in the matrix electrode array, perform temperature difference calculation on the equilibrium temperature data to obtain the detection temperature data, and adjust the gas conditions at the inlet of the drainage channel according to the detection temperature data through a preset feedback adjustment method.

[0045] First, based on the operating temperature range parameters of each sensitive material in the matrix electrode array, the temperature intersection range satisfying all operating temperature range parameters is calculated. In a wide-range high-performance array-type multi-parameter sensor, the matrix electrode array consists of multiple micro-thin-film electrode units, each coated with a different gas-sensitive material, used to detect different components in the exhaust gas. For example, the sensitive material for detecting nitrogen oxides operates in the temperature range of 350°C to 550°C, the sensitive material for detecting carbon monoxide operates in the temperature range of 300°C to 450°C, and the sensitive material for detecting hydrocarbons operates in the temperature range of 400°C to 500°C. If these three materials are integrated into the same chip, the allowable temperature range for all three to work together must be the overlap of their temperature ranges, i.e., 400°C to 450°C. The specific method for calculating this temperature intersection interval is as follows: extract the lower limit parameter of each working temperature range from all working temperature range parameters, and take the maximum value as the lower limit data of the intersection interval; extract the upper limit parameter of each working temperature range from all working temperature range parameters, and take the minimum value as the upper limit data of the intersection interval. Through the above operations, the unique temperature window in which all sensitive materials in the matrix electrode array can operate normally simultaneously is clearly defined, providing a benchmark boundary for subsequent temperature difference calculations. If the temperature intersection interval does not exist, it indicates that the currently selected combination of sensitive materials cannot operate simultaneously under the same temperature condition, and material selection needs to be re-evaluated.

[0046] After obtaining the temperature intersection range, the target operating temperature is calculated based on the lower and upper limits of this range. The difference between the equilibrium temperature and the target operating temperature is then calculated to obtain the detection temperature data. The target operating temperature is taken as the median of the intersection range, i.e., the arithmetic mean of the lower and upper limits. Setting the target temperature at the center of the common operating range allows for temperature fluctuation margins during material operation while maintaining symmetry in the adjustment space in both positive and negative directions. The equilibrium temperature data originates from the third-state data generated in step S3, representing the actual temperature at the inlet of the matrix electrode array after the gas has been fully homogenized in the mixing chamber. The difference between the equilibrium temperature and the target operating temperature is the detection temperature data. When the detected temperature data is positive, it indicates that the equilibrium temperature is higher than the target temperature, the gas cooling in the drainage channel is insufficient, and the gas temperature entering the electrode area exceeds the upper limit of the common working range of all sensitive materials, posing a risk of thermal shock. When the detected temperature data is negative, it indicates that the equilibrium temperature is lower than the target temperature, the gas cooling in the drainage channel is excessive, and the gas temperature entering the electrode area is lower than the lower limit of the common working range of all sensitive materials, the sensitive materials cannot reach the activation temperature, the electrochemical reaction rate is too low, and the measurement accuracy decreases. When the detected temperature data is zero, it indicates that the equilibrium temperature is exactly equal to the target temperature, and the heat dissipation effect is ideal.

[0047] After obtaining the detected temperature data, if the detected temperature data is positive, it is determined that the heat dissipation effect needs to be enhanced, i.e., the sensor inlet gas temperature is reduced or the inlet gas mass flow rate is decreased. The specific calculation method is as follows: based on the preset isobaric specific heat capacity parameter of the gas to be detected, the detected temperature data, the convective heat transfer coefficient obtained during the steady-state heat exchange calculation of the drainage channel, the channel geometric parameters (including the perimeter and equivalent length of the drainage channel cross-section), and the inlet gas mass flow rate parameter in the thermodynamic state data, a reverse calculation of sensor heat dissipation is performed to obtain the first temperature adjustment amount data of the drainage channel inlet. The core basis of the reverse calculation is the heat transfer exponential decay model established in step S1. In step S1, through forward heat transfer calculation, the drainage channel outlet gas temperature is derived from the inlet gas temperature, and the relationship exhibits an exponential decay form. The reverse calculation inverses this exponential decay relationship, and based on the temperature deviation that needs to be adjusted at the outlet, the amount by which the inlet gas temperature needs to be adjusted is deduced. The reverse calculation quantitatively answers the core question: "If the equilibrium temperature at the mixing chamber outlet is to be reduced by a certain value, how much should the gas temperature be reduced at the sensor inlet?" After obtaining the first temperature regulation value data, it is converted into a first regulation request command to reduce the mass flow rate of the gas to be detected passing through the inlet of the drainage duct, according to the preset temperature-flow rate mapping relationship. The temperature-flow rate mapping relationship is established based on the following physical principle: reducing the inlet gas mass flow rate will prolong the residence time of the gas in the fixed-length drainage duct, allowing for more thorough heat exchange between the gas and the ceramic wall, thereby enhancing the heat dissipation effect; this mapping relationship can be obtained through pre-calibration or theoretical calculation, converting the temperature regulation value into a flow rate regulation command that is more easily executed directly by upstream actuators (such as engine throttle valves or exhaust gas recirculation valves).

[0048] When the detected temperature data is negative, it is determined that the heat dissipation effect needs to be weakened, i.e., the temperature of the gas at the sensor inlet needs to be increased or the mass flow rate of the inlet gas needs to be increased. The specific calculation method is as follows: based on the preset isobaric specific heat capacity parameter of the gas to be detected, the detected temperature data, the convective heat transfer coefficient obtained during the steady-state heat exchange calculation of the drainage channel, the geometric parameters of the channel, and the mass flow rate parameter of the inlet gas in the thermodynamic state data, a reverse calculation of sensor heat dissipation is performed to obtain the second temperature adjustment amount data at the inlet of the drainage channel. This reverse calculation is the same as the calculation method in the positive case, both based on the inversion of the same exponential decay model of heat transfer. The difference is that when the detected temperature data is negative, the reverse calculation result indicates that the inlet gas temperature needs to be increased. After obtaining the second temperature adjustment amount data, according to the preset temperature-flow mapping relationship, it is converted into a second adjustment request command to increase the mass flow rate of the gas to be detected passing through the inlet of the drainage channel. Increasing the inlet gas mass flow rate will shorten the residence time of the gas in the fixed-length drainage channel, reduce the amount of heat exchange between the gas and the ceramic wall, thereby weakening the heat dissipation effect.

[0049] After generating the first or second adjustment request command, step S4 sends the adjustment request command to the preset upstream air path control unit via a preset vehicle bus. The vehicle bus typically uses a controller area network bus, which is a standard communication protocol for data exchange between controllers in an automotive electronic system, offering good real-time performance and reliability. The upstream air path control unit can be the engine control unit or an independent exhaust gas pretreatment device control unit. Upon receiving the adjustment request command, this unit changes the temperature or mass flow rate of the gas to be detected entering the inlet of the duct by driving actuators (such as throttle actuators, exhaust gas recirculation valves, variable geometry turbochargers, or auxiliary cooling devices), thereby achieving real-time adjustment of the gas conditions at the sensor inlet.

[0050] The following describes the heat dissipation scheme for the array-type multi-parameter sensor provided in the embodiments of this application.

[0051] It should be noted that, in the embodiments of this application, the terms "module" or "unit" refer to a computer program or part of a computer program with a predetermined function, which works together with other related parts to achieve a predetermined goal, and can be implemented wholly or partially using software, hardware (such as processing circuitry or memory), or a combination thereof. Similarly, a processor (or multiple processors or memory) can be used to implement one or more modules or units. Furthermore, each module or unit can be part of an overall module or unit that includes the functionality of that module or unit.

[0052] Please see Figure 2 This is a functional block diagram of a heat dissipation device for an array-type multi-parameter sensor provided in an embodiment of this application. The heat dissipation device 2 of this array-type multi-parameter sensor can be used to perform the functions described in this application. Figure 1 The corresponding steps in the heat dissipation method for the array-type multi-parameter sensor provided in the embodiment. Specifically, the heat dissipation device 2 of the array-type multi-parameter sensor may include: The airway detection module 21 is used to perform steady-state heat exchange calculations on the thermodynamic state data of the gas to be detected at the inlet of the airway in real time, based on preset structural parameters, and generate the first state data of the outlet of the airway. The diversion analysis module 22 is used to perform diversion and pressure equalization calculations on the first state data based on the structural parameters, and generate second state data of the main channel and the pressure relief port after diversion. The mixing and homogenization module 23 is used to perform temperature equalization calculation of gas mixing on the temperature data of the main channel and the pressure relief port in the second state data according to the preset pressure specific heat capacity parameters and the pressure relief mass flow data and the detection mass flow data in the second state data, and generate equalization temperature data of the matrix electrode array inlet. The feedback adjustment module 24 is used to calculate the temperature difference of the equilibrium temperature data according to the preset working temperature range parameters of each sensitive material in the matrix electrode array to obtain the detection temperature data, and adjust the gas conditions at the inlet of the drainage channel according to the detection temperature data through a preset feedback adjustment method.

[0053] In one possible implementation, the heat dissipation device 2 of the array-type multi-parameter sensor further includes a gas detection module 25, which is also used to perform the following operations: The gas temperature, gas pressure, and gas flow rate parameters of the gas to be detected at the inlet of the drainage airway are collected in real time. Calculate the gas density parameter at the inlet of the drainage airway based on the gas temperature parameter and the gas pressure parameter; The gas mass flow rate parameter of the inlet of the drainage airway is calculated based on the preset cross-sectional area parameter, gas density parameter, and gas flow rate parameter of the drainage airway inlet.

[0054] It should be understood that the various variations and specific embodiments of the methods provided in the above embodiments are also applicable to the heat dissipation device of the array-type multi-parameter sensor in this embodiment. Through the foregoing detailed description of the heat dissipation method of the array-type multi-parameter sensor, those skilled in the art can clearly understand the implementation method of the heat dissipation device of the array-type multi-parameter sensor in this embodiment. For the sake of brevity, it will not be described in detail here.

[0055] Please see Figure 3 This is a schematic diagram of the structure of a computer device provided in an embodiment of this application. The computer device 3 is used to execute the steps performed by the computer device in the aforementioned method embodiments. The computer device 3 may include one or more devices (e.g., a server, node, terminal device, etc.) or internal components (e.g., a chip, software module, or hardware module). The computer device may include at least one processor 31 and a communication interface 32. Further optionally, the computer device may also include at least one memory 33 and a bus 34. Additionally, the processor 31, communication interface 32, and memory 33 are connected via the bus 34. Wherein: (1) The processor 31 is a module that performs arithmetic and / or logical operations. Specifically, it may be one or a combination of processing modules such as a central processing unit (CPU), a graphics processing unit (GPU), a microprocessor unit (MPU), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA), a complex programmable logic device (CPLD), a coprocessor (to assist the central processing unit in completing corresponding processing and applications), and a micro controller unit (MCU).

[0056] (2) The communication interface 32 can be used to provide information input or output to at least one processor 31. And / or, the communication interface 32 can be used to receive data sent from outside and / or send data to outside, and can be a wired link interface including such as an Ethernet cable, or a wireless link interface (Wi-Fi, Bluetooth, general wireless transmission, vehicle short-range communication technology and other short-range wireless communication technologies, etc.). The communication interface 32 can serve as a network interface.

[0057] (3) The memory 33 is used to provide storage space, in which data such as the operating system and computer programs (including program instructions) can be stored. The memory 33 can be one or a combination of random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM), or compact disc read-only memory (CD-ROM), etc.

[0058] In specific implementation, processor 31 executes the following steps by running the computer program stored in memory 33: Based on the preset structural parameters, the steady-state heat exchange of the gas to be detected at the inlet of the drainage airway is calculated by real-time acquisition of thermodynamic state data of the gas to be detected, and the first state data of the outlet of the drainage airway is generated. Based on the structural parameters, the first state data is subjected to pressure relief port diversion and pressure equalization calculations to generate the second state data of the main channel and pressure relief port after diversion. Based on the preset pressure-to-heat ratio parameters and the pressure relief mass flow rate data and detection mass flow rate data in the second state data, the temperature equalization calculation of gas mixing is performed on the temperature data of the main channel and pressure relief port in the second state data to generate the equalization temperature data of the matrix electrode array inlet. Based on the preset operating temperature range parameters of each sensitive material in the matrix electrode array, the temperature difference is calculated to obtain the detection temperature data from the equilibrium temperature data, and the gas conditions at the inlet of the drainage channel are adjusted according to the detection temperature data through a preset feedback adjustment method.

[0059] In one possible implementation, processor 31 is also used to perform the following operations: The gas temperature, gas pressure, and gas flow rate parameters of the gas to be detected at the inlet of the drainage airway are collected in real time. Calculate the gas density parameter at the inlet of the drainage airway based on the gas temperature parameter and the gas pressure parameter; The gas mass flow rate parameter of the inlet of the drainage airway is calculated based on the preset cross-sectional area parameter, gas density parameter, and gas flow rate parameter of the drainage airway inlet.

[0060] In one possible implementation, processor 31 is also used to perform the following operations: Based on the airway geometry parameters, the material thermophysical parameters, and the gas mass flow rate parameters, the Reynolds number of the gas to be detected in the drainage airway is calculated, and the Reynolds number is converted into a convective heat transfer coefficient through the correlation rules between airflow state and convective heat transfer. Based on the convective heat transfer coefficient, the gas duct geometric parameters, the material thermal property parameters, and the gas mass flow rate parameters, the gas temperature parameters are calculated to obtain the first gas temperature data at the outlet of the drainage gas duct. Based on the airway geometric parameters, the gas density parameters, and the preset friction coefficient, the pressure loss along the drainage airway is calculated based on the gas pressure parameters to obtain the first gas pressure data at the outlet of the drainage airway.

[0061] In one possible implementation, processor 31 is also used to perform the following operations: Real-time acquisition of ambient pressure data outside the pressure relief port, and calculation of pressure relief mass flow rate data diverted through the pressure relief port based on the pressure relief geometric parameters, the flow coefficient parameters, the first gas pressure data, and the ambient pressure data; The difference between the gas mass flow rate parameter in the thermodynamic state data and the pressure relief mass flow rate data is calculated to obtain the detected mass flow rate data of the gas passing through the main channel.

[0062] In one possible implementation, processor 31 is also used to perform the following operations: Based on the lower limit parameter and upper limit parameter of the working temperature range, calculate the temperature intersection range that satisfies all working temperature range parameters. Based on the lower and upper limits of the temperature intersection interval, the target operating temperature data is calculated, and the difference between the equilibrium temperature data and the target operating temperature data is calculated to obtain the detection temperature data.

[0063] In one possible implementation, processor 31 is also used to perform the following operations: When the detected temperature data is positive, the sensor heat dissipation is reversed based on the preset isobaric specific heat capacity parameter of the gas to be detected, the detected temperature data, the convective heat transfer coefficient, the gas channel geometric parameters and the gas mass flow rate parameter, to obtain the first temperature adjustment amount data of the inlet of the drainage gas channel. According to the preset temperature and flow rate mapping relationship, the first temperature adjustment amount data is converted into a first adjustment request instruction to reduce the mass flow rate of the gas to be detected through the inlet of the drainage airway. When the detected temperature data is negative, the sensor heat dissipation is reversed based on the preset isobaric specific heat capacity parameter of the gas to be detected, the detected temperature data, the convective heat transfer coefficient, the gas channel geometric parameters and the gas mass flow rate parameter, to obtain the second temperature adjustment data of the inlet of the drainage gas channel. According to the preset temperature and flow rate mapping relationship, the second temperature adjustment data is converted into a second adjustment request command to increase the mass flow rate of the gas to be detected through the inlet of the drainage airway. The first adjustment request command or the second adjustment request command is sent to the preset upstream air circuit control unit via a preset vehicle bus to adjust the gas conditions at the inlet of the diversion airway.

[0064] In one possible implementation, processor 31 is also used to perform the following operations: The airway detection module is used to perform steady-state heat exchange calculations on the thermodynamic state data of the gas to be detected at the inlet of the airway in real time, based on preset structural parameters, and generate the first state data of the outlet of the airway. The diversion analysis module is used to perform diversion and pressure equalization calculations on the first state data based on the structural parameters, and generate the second state data of the main channel and the pressure relief port after diversion. The mixing and homogenization module is used to perform temperature equalization calculations on the gas mixing of the temperature data of the main channel and the pressure relief port in the second state data based on preset pressure specific heat capacity parameters and the pressure relief mass flow rate data and detection mass flow rate data in the second state data, and generate equalization temperature data at the inlet of the matrix electrode array. The feedback adjustment module is used to calculate the temperature difference of the equilibrium temperature data according to the preset working temperature range parameters of each sensitive material in the matrix electrode array to obtain the detection temperature data, and to adjust the gas conditions at the inlet of the drainage channel according to the detection temperature data through a preset feedback adjustment method.

[0065] In the above embodiments, implementation can be achieved entirely or partially through software, hardware, firmware, or any combination thereof. When implemented using software, it can be implemented entirely or partially as a computer program product, which includes one or more computer programs. When the computer program is loaded and executed on a computer device, it generates, in whole or in part, the processes or functions described in the embodiments of this application; the computer device can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer program can be stored in or transmitted through a computer-readable storage medium; the computer program can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, digital line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium accessible to the computer device or a data processing device such as a server or data center that integrates one or more available media; wherein, the available medium can be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., solid-state disk (SSD)).

[0066] The above-disclosed embodiments are merely preferred embodiments of this application and should not be construed as limiting the scope of this application. Therefore, any equivalent variations made in accordance with the claims of this application shall still fall within the scope of this application.

Claims

1. A heat dissipation method for an array-type multi-parameter sensor, characterized in that, The wide-range high-performance array-type multi-parameter sensor includes a drainage airway, a main channel, a pressure relief port, a mixing chamber, and a matrix electrode array. The method includes: Based on the preset structural parameters, the steady-state heat exchange of the gas to be detected at the inlet of the drainage airway is calculated by real-time acquisition of thermodynamic state data of the gas to be detected, and the first state data of the outlet of the drainage airway is generated. Based on the structural parameters, the first state data is subjected to pressure relief port diversion and pressure equalization calculations to generate the second state data of the main channel and pressure relief port after diversion. Based on the preset pressure-to-heat ratio parameters and the pressure relief mass flow rate data and detection mass flow rate data in the second state data, the temperature equalization calculation of gas mixing is performed on the temperature data of the main channel and pressure relief port in the second state data to generate the equalization temperature data of the matrix electrode array inlet. Based on the preset operating temperature range parameters of each sensitive material in the matrix electrode array, the temperature difference is calculated to obtain the detection temperature data from the equilibrium temperature data, and the gas conditions at the inlet of the drainage channel are adjusted according to the detection temperature data through a preset feedback adjustment method.

2. The heat dissipation method for an array-type multi-parameter sensor according to claim 1, characterized in that, The thermodynamic state data includes gas temperature parameters, gas pressure parameters, and gas mass flow rate parameters; the method further includes: The gas temperature, gas pressure, and gas flow rate parameters of the gas to be detected at the inlet of the drainage airway are collected in real time. Calculate the gas density parameter at the inlet of the drainage airway based on the gas temperature parameter and the gas pressure parameter; The gas mass flow rate parameter of the inlet of the drainage airway is calculated based on the preset cross-sectional area parameter, gas density parameter, and gas flow rate parameter of the drainage airway inlet.

3. The heat dissipation method for an array-type multi-parameter sensor according to claim 2, characterized in that, The structural parameters include the channel geometry parameters and material thermophysical properties of the drainage airway. The first state data includes the first gas temperature data and the first gas pressure data. The step of performing steady-state heat exchange calculations on the thermodynamic state data of the gas to be detected at the inlet of the drainage airway, collected in real time, based on the preset structural parameters, to generate the first state data of the drainage airway outlet includes: Based on the airway geometry parameters, the material thermophysical parameters, and the gas mass flow rate parameters, the Reynolds number of the gas to be detected in the drainage airway is calculated, and the Reynolds number is converted into a convective heat transfer coefficient through the correlation rules between airflow state and convective heat transfer. Based on the convective heat transfer coefficient, the gas duct geometric parameters, the material thermal property parameters, and the gas mass flow rate parameters, the gas temperature parameters are calculated to obtain the first gas temperature data at the outlet of the drainage gas duct. Based on the airway geometric parameters, the gas density parameters, and the preset friction coefficient, the pressure loss along the drainage airway is calculated based on the gas pressure parameters to obtain the first gas pressure data at the outlet of the drainage airway.

4. The heat dissipation method for the array-type multi-parameter sensor according to claim 3, characterized in that, The structural parameters also include the pressure relief geometric parameters and flow coefficient parameters of the pressure relief port. The step of performing flow diversion and pressure equalization calculations on the first state data based on the structural parameters to generate the second state data of the main channel and the pressure relief port after flow diversion includes: Real-time acquisition of ambient pressure data outside the pressure relief port, and calculation of pressure relief mass flow rate data diverted through the pressure relief port based on the pressure relief geometric parameters, the flow coefficient parameters, the first gas pressure data, and the ambient pressure data; The difference between the gas mass flow rate parameter in the thermodynamic state data and the pressure relief mass flow rate data is calculated to obtain the detected mass flow rate data of the gas passing through the main channel.

5. The heat dissipation method for an array-type multi-parameter sensor according to claim 1, characterized in that, The step of calculating the temperature difference to obtain the detection temperature data based on the preset operating temperature range parameters of each sensitive material in the matrix electrode array includes: Based on the lower limit parameter and upper limit parameter of the working temperature range, calculate the temperature intersection range that satisfies all working temperature range parameters. Based on the lower and upper limits of the temperature intersection interval, the target operating temperature data is calculated, and the difference between the equilibrium temperature data and the target operating temperature data is calculated to obtain the detection temperature data.

6. The heat dissipation method for an array-type multi-parameter sensor according to claim 2, characterized in that, The step of adjusting the gas conditions at the inlet of the drainage airway based on the detected temperature data using a preset feedback adjustment method includes: When the detected temperature data is positive, the sensor heat dissipation is reversed based on the preset isobaric specific heat capacity parameter of the gas to be detected, the detected temperature data, the convective heat transfer coefficient, the gas channel geometric parameters and the gas mass flow rate parameter, to obtain the first temperature adjustment amount data of the inlet of the drainage gas channel. According to the preset temperature and flow rate mapping relationship, the first temperature adjustment amount data is converted into a first adjustment request instruction to reduce the mass flow rate of the gas to be detected through the inlet of the drainage airway. When the detected temperature data is negative, the sensor heat dissipation is reversed based on the preset isobaric specific heat capacity parameter of the gas to be detected, the detected temperature data, the convective heat transfer coefficient, the gas channel geometric parameters and the gas mass flow rate parameter, to obtain the second temperature adjustment data of the inlet of the drainage gas channel. According to the preset temperature and flow rate mapping relationship, the second temperature adjustment data is converted into a second adjustment request command to increase the mass flow rate of the gas to be detected through the inlet of the drainage airway. The first adjustment request command or the second adjustment request command is sent to the preset upstream air circuit control unit via a preset vehicle bus to adjust the gas conditions at the inlet of the diversion airway.

7. A heat dissipation device for an array-type multi-parameter sensor, applied to the heat dissipation method of the array-type multi-parameter sensor as described in claim 1, characterized in that, The device includes: The airway detection module is used to perform steady-state heat exchange calculations on the thermodynamic state data of the gas to be detected at the inlet of the airway in real time, based on preset structural parameters, and generate the first state data of the outlet of the airway. The diversion analysis module is used to perform diversion and pressure equalization calculations on the first state data based on the structural parameters, and generate the second state data of the main channel and the pressure relief port after diversion. The mixing and homogenization module is used to perform temperature equalization calculations on the gas mixing of the temperature data of the main channel and the pressure relief port in the second state data based on preset pressure specific heat capacity parameters and the pressure relief mass flow rate data and detection mass flow rate data in the second state data, and generate equalization temperature data at the inlet of the matrix electrode array. The feedback adjustment module is used to calculate the temperature difference of the equilibrium temperature data according to the preset working temperature range parameters of each sensitive material in the matrix electrode array to obtain the detection temperature data, and to adjust the gas conditions at the inlet of the drainage channel according to the detection temperature data through a preset feedback adjustment method.

8. A computer device, characterized in that, include: Memory and processor: A memory, wherein one or more computer programs are stored; A processor for loading one or more computer programs to implement the heat dissipation method for an array-type multi-parameter sensor as described in any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the heat dissipation method for the array-type multi-parameter sensor according to any one of claims 1 to 6.

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