Cooling unit operation detection method and device, cooling system and computer equipment

Abstract

The invention relates to a cooling unit operation detection method and device, a cooling system, computer equipment, a computer readable storage medium and a computer program product, and the method comprises the steps: obtaining more than two groups of flow path data of a cooling unit, and theoretical detection parameters corresponding to the to-be-verified parameters are determined based on the reliable parameters in the flow path data, and the running state of the cooling unit is determined according to the theoretical detection parameters and the to-be-verified parameters. Wherein each flow path data is detected by detection sensors arranged at different detection positions of the cooling unit. Flow path data detected by a detection sensor on the cooling unit are analyzed and calculated to obtain theoretical values corresponding to the flow path data, and the theoretical values are compared with the detected values, so that the influence of sensor faults on operation detection can be eliminated, the cooling unit can be accurately and reliably monitored, and the working efficiency of the cooling unit is improved. The reliability is improved.

Description

Technical Field

[0001] The present application relates to the field of refrigeration technology, and in particular to a cooling unit operation detection method, device, cooling system, computer equipment, computer-readable storage medium and computer program product. Background Art

[0002] Refrigeration equipment is a device that can transfer heat in a specified area to achieve cooling. It can be used to lower the room temperature or to cool high-power heating equipment. High-power heating equipment is usually cooled by a cooling unit. The cooling unit includes a flow path with cooling liquid, which absorbs heat through the flow of cooling liquid. When the cooling liquid flow rate of the cooling unit is too low or the cooling liquid temperature is too high, the heat dissipation effect on the high-power heating equipment is poor, which can easily lead to overheating failure of the high-power heating equipment, causing great safety hazards.

[0003] In order to ensure the heat dissipation of high-power heating equipment and monitor the heat dissipation effect of the cooling unit, different sensors are installed in the flow path of the cooling unit to monitor the various dimensional parameters of the cooling liquid. However, since each sensor is installed in the flow path, it is difficult to repair the sensor. When a sensor fails and the monitoring fails, it will cause the cooling unit to falsely report a fault or miss a fault, which poses a great safety hazard. Therefore, how to more accurately monitor the operating status of the cooling unit and reduce accidents caused by sensor monitoring failures is an urgent problem to be solved. Summary of the invention

[0004] Based on this, it is necessary to provide a cooling unit operation detection method, device, cooling system, computer equipment, computer readable storage medium and computer program product that can accurately monitor the operating status of the cooling unit in response to the above technical problems.

[0005] In a first aspect, the present application provides a cooling unit operation detection method, the method comprising:

[0006] Acquire more than two groups of flow path data of the cooling unit; each of the flow path data is detected by a detection sensor arranged at a different detection position of the cooling unit, and the flow path data includes reliable parameters and parameters to be verified;

[0007] Determine a theoretical detection parameter corresponding to the parameter to be verified based on the reliable parameters in each of the flow path data;

[0008] The operating state of the cooling unit is determined according to the theoretical detection parameters and the parameters to be verified.

[0009] In one embodiment, the theoretical detection parameters include theoretical flow parameters and theoretical temperature parameters, and the step of determining the theoretical detection parameters corresponding to the parameters to be verified based on the reliable parameters in each of the flow path data includes:

[0010] If the reliable parameters include pressure parameters and temperature parameters, and the parameter to be verified is a flow parameter, a theoretical flow parameter corresponding to the flow parameter is determined based on each of the pressure parameters and each of the temperature parameters; the pressure parameter, the temperature parameter and the flow parameter are all obtained by the detection sensor;

[0011] If the reliable parameters include the pressure parameter and the flow parameter, and the parameter to be verified is the temperature parameter, a theoretical temperature parameter corresponding to the temperature parameter of the specified detection position is determined based on each of the pressure parameters, each of the flow parameters and each of the temperature parameters.

[0012] In one embodiment, determining a theoretical flow parameter corresponding to the flow parameter based on each of the pressure parameters and each of the temperature parameters includes:

[0013] Determining a corresponding density parameter based on the pressure parameter and the temperature parameter at the same detection position;

[0014] Determining the flow rate parameters of each detection position according to the flow path parameters of the cooling unit, the corresponding density parameters and the pressure parameters;

[0015] The theoretical flow parameter corresponding to the flow parameter is determined in combination with the flow velocity parameter, each of the density parameters, the flow path parameter and each of the pressure parameters.

[0016] In one embodiment, the number of the theoretical flow parameters is more than two, and determining the operating state of the cooling unit according to the theoretical detection parameters and the parameters to be verified includes:

[0017] Determine an average theoretical flow rate according to each of the theoretical flow parameters, and calculate a flow difference between the average theoretical flow rate and each of the flow parameters;

[0018] Based on the preset deviation flow and the flow difference, the operating state of the cooling unit is determined.

[0019] In one embodiment, determining the operating state of the cooling unit based on the preset deviation flow and the flow difference includes:

[0020] If the flow difference is less than or equal to the preset deviation flow, when the flow parameter is less than the flow abnormality threshold, and the average theoretical flow is greater than or equal to the flow abnormality threshold, it is determined that the operating state of the cooling unit is a flow detection abnormal state; when both the flow parameter and the average theoretical flow are less than the flow abnormality threshold, it is determined that the operating state of the cooling unit is a low flow state;

[0021] If the flow difference is greater than the preset deviation flow, when the average theoretical flow is greater than or equal to the flow abnormality threshold, the operating state of the cooling unit is determined to be the flow detection abnormality state; when the average theoretical flow is less than the flow abnormality threshold, the operating state of the cooling unit is determined to be the low flow state.

[0022] In one embodiment, after determining the operating state of the cooling unit according to the theoretical detection parameter and the parameter to be verified, the method further includes:

[0023] If the operating state of the cooling unit is a flow detection abnormal state, generating a flow detection abnormal prompt message;

[0024] If the operating state of the cooling unit is a low flow state, a low flow prompt message is generated and the heating device corresponding to the cooling unit is controlled to stop working.

[0025] In one embodiment, determining the theoretical temperature parameter corresponding to the temperature parameter at the specified detection position based on each of the pressure parameters, each of the flow parameters and each of the temperature parameters includes:

[0026] Determining corresponding flow velocity parameters according to the flow parameters and the flow path parameters of the cooling unit;

[0027] Determine a corresponding density parameter based on the pressure parameter and the temperature parameter of the reference detection position; the detection position of the cooling unit includes the reference detection position and the designated detection position;

[0028] Determining a density parameter of a designated detection position based on the corresponding flow velocity parameter, the corresponding density parameter, the flow path parameter, and the pressure parameter;

[0029] The theoretical temperature parameter is determined according to the density parameter of the designated detection position and the pressure parameter of the designated detection position.

[0030] In one embodiment, the number of the theoretical temperature parameters is more than two, and determining the operating state of the cooling unit according to the theoretical detection parameters and the parameters to be verified includes:

[0031] Determine an average theoretical temperature according to each of the theoretical temperature parameters, and calculate a temperature difference between the average theoretical temperature and each of the temperature parameters;

[0032] Based on the preset deviation temperature and the temperature difference, the operating state of the cooling unit is determined.

[0033] In one embodiment, determining the operating state of the cooling unit based on the preset deviation temperature and the temperature difference includes:

[0034] If the temperature difference is less than or equal to the preset deviation temperature, when the temperature parameter is greater than the temperature abnormality threshold, and the average theoretical temperature is less than or equal to the temperature abnormality threshold, it is determined that the operating state of the cooling unit is a temperature detection abnormal state; when both the temperature parameter and the average theoretical temperature are greater than the temperature abnormality threshold, it is determined that the operating state of the cooling unit is a high temperature state;

[0035] If the temperature difference is greater than the preset deviation temperature, when the average theoretical temperature is less than or equal to the temperature abnormality threshold, the operating state of the cooling unit is determined to be the temperature detection abnormal state; when the average theoretical temperature is greater than the temperature abnormality threshold, the operating state of the cooling unit is determined to be a high temperature state.

[0036] In one embodiment, after determining the operating state of the cooling unit according to the theoretical detection parameter and the parameter to be verified, the method further includes:

[0037] If the operating state of the cooling unit is a temperature detection abnormal state, generating temperature detection abnormal prompt information;

[0038] If the operating state of the cooling unit is a high temperature state, a high temperature prompt message is generated and the heating device corresponding to the cooling unit is controlled to stop working.

[0039] In a second aspect, the present application also provides a cooling unit operation detection device, the device comprising:

[0040] A detection module, used to obtain more than two sets of flow path data of the cooling unit; each of the flow path data is detected by a detection sensor arranged at a different detection position of the cooling unit, and the flow path data includes reliable parameters and parameters to be verified;

[0041] A calculation module, used for determining a theoretical detection parameter corresponding to the parameter to be verified based on the reliable parameters in each of the flow path data;

[0042] The analysis module is used to determine the operating state of the cooling unit according to the theoretical detection parameters and the parameters to be verified.

[0043] In a third aspect, the present application also provides a cooling system, which includes a cooling unit, a detection sensor and a controller. The cooling unit includes a cooling flow path for dissipating heat from a heat-generating device. The detection sensor is arranged on the cooling unit. The cooling unit, the detection sensor and the heat-generating device are all connected to the controller. The controller is used to implement the above-mentioned cooling unit operation detection method.

[0044] In a fourth aspect, the present application further provides a computer device, comprising a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the following steps are implemented:

[0045] Acquire more than two groups of flow path data of the cooling unit; each of the flow path data is detected by a detection sensor arranged at a different detection position of the cooling unit, and the flow path data includes reliable parameters and parameters to be verified;

[0046] Determine a theoretical detection parameter corresponding to the parameter to be verified based on the reliable parameters in each of the flow path data;

[0047] The operating state of the cooling unit is determined according to the theoretical detection parameters and the parameters to be verified.

[0048] In a fifth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the following steps are implemented:

[0049] Acquire more than two groups of flow path data of the cooling unit; each of the flow path data is detected by a detection sensor arranged at a different detection position of the cooling unit, and the flow path data includes reliable parameters and parameters to be verified;

[0050] Determine a theoretical detection parameter corresponding to the parameter to be verified based on the reliable parameters in each of the flow path data;

[0051] The operating state of the cooling unit is determined according to the theoretical detection parameters and the parameters to be verified.

[0052] In a sixth aspect, the present application further provides a computer program product, including a computer program, which implements the following steps when executed by a processor:

[0053] Acquire more than two groups of flow path data of the cooling unit; each of the flow path data is detected by a detection sensor arranged at a different detection position of the cooling unit, and the flow path data includes reliable parameters and parameters to be verified;

[0054] Determine a theoretical detection parameter corresponding to the parameter to be verified based on the reliable parameters in each of the flow path data;

[0055] The operating state of the cooling unit is determined according to the theoretical detection parameters and the parameters to be verified.

[0056] The above-mentioned cooling unit operation detection method, device, cooling system, computer equipment, computer-readable storage medium and computer program product include obtaining more than two groups of flow path data of the cooling unit, the flow path data include reliable parameters and parameters to be verified, determining theoretical detection parameters corresponding to the parameters to be verified based on the reliable parameters in each flow path data, and determining the operating state of the cooling unit according to the theoretical detection parameters and the parameters to be verified. Among them, each flow path data is detected by a detection sensor set at a different detection position of the cooling unit. By analyzing the flow path data detected by the detection sensor on the cooling unit, calculating and obtaining the theoretical value corresponding to each flow path data, and comparing the theoretical value with the value obtained by detection, it is helpful to eliminate the influence of sensor failure on operation detection, and can realize accurate and reliable monitoring of the cooling unit and improve reliability. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the drawings required for use in the embodiments of the present application or related technical descriptions will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0058] FIG1 is a schematic structural diagram of a cooling system in one embodiment;

[0059] FIG2 is a schematic flow chart of a cooling unit operation detection method in one embodiment;

[0060] FIG3 is a schematic flow chart of a cooling unit operation detection method in another embodiment;

[0061] FIG4 is a flow chart of a step of determining a theoretical flow parameter corresponding to a flow parameter based on various pressure parameters and various temperature parameters in one embodiment;

[0062] FIG5 is a flow chart of steps for determining the operating state of a cooling unit according to theoretical detection parameters and parameters to be verified in one embodiment;

[0063] 6 is a schematic flow chart of steps for determining the operating state of a cooling unit according to theoretical detection parameters and parameters to be verified in another embodiment;

[0064] FIG7 is a schematic flow chart of a cooling unit operation detection method in yet another embodiment;

[0065] FIG8 is a flow chart of a step of determining a theoretical temperature parameter corresponding to a temperature parameter at a specified detection position based on various pressure parameters, various flow parameters and various temperature parameters in one embodiment;

[0066] 9 is a schematic flow chart of steps for determining the operating state of a cooling unit according to theoretical detection parameters and parameters to be verified in yet another embodiment;

[0067] 10 is a schematic flow chart of the steps of determining the operating state of the cooling unit according to the theoretical detection parameters and the parameters to be verified in another embodiment;

[0068] FIG11 is a schematic flow chart of a cooling unit operation detection method in yet another embodiment;

[0069] FIG12 is a structural block diagram of a cooling unit operation detection device in one embodiment;

[0070] FIG. 13 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0071] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0072] It is understood that the terms "first", "second", etc. used in this application may be used herein to describe various elements, but these elements are not limited by these terms. These terms are only used to distinguish a first element from another element. For example, without departing from the scope of this application, a first resistor may be referred to as a second resistor, and similarly, a second resistor may be referred to as a first resistor. Both the first resistor and the second resistor are resistors, but they are not the same resistor.

[0073] It can be understood that the “connection” in the following embodiments should be understood as “electrical connection”, “communication connection”, etc. if the connected circuits, modules, units, etc. have electrical signals or data transmission between each other.

[0074] When used herein, the singular forms "a", "an", and "said / the" may also include plural forms, unless the context clearly indicates otherwise. It should also be understood that the terms "include / comprise" or "have" and the like specify the presence of stated features, wholes, steps, operations, components, parts, or combinations thereof, but do not exclude the possibility of the presence or addition of one or more other features, wholes, steps, operations, components, parts, or combinations thereof. At the same time, the term "and / or" used in this specification includes any and all combinations of the relevant listed items.

[0075] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art to which this application belongs. The terms used herein in the specification of this application are only for the purpose of describing specific embodiments and are not intended to limit this application.

[0076] The cooling unit operation detection method provided in the embodiment of the present application can be applied to the cooling system as shown in Figure 1. As shown in Figure 1, the present application provides a cooling system, and the cooling system includes a cooling unit 102, a detection sensor 104 and a controller 106. The cooling unit 102 includes a cooling flow path, in which a cooling liquid, also known as a coolant, flows. The cooling flow path has a high specific heat capacity and can absorb a large amount of heat. As the cooling flow path flows, the heat transfer is completed to achieve cooling. Specifically, the cooling unit 102 in the cooling system is used to dissipate heat for the heat-generating device. The cooling flow path is arranged in a position where the heat-generating device needs to dissipate heat. The heat-generating device is dissipated by the flow of the cooling liquid in the cooling flow path. Exemplarily, the heat-generating device can be an engine, and the cooling system corresponds to the engine cooling system. The cooling liquid in the cooling unit 102 is a coolant, which can take away excess heat energy when the engine is running, so that the engine can run at a normal operating temperature.

[0077] If the cooling liquid in the cooling flow path is insufficient, or the temperature of the cooling liquid is too high, the heat dissipation of the heating device will be poor, and damage and failure will occur easily. To this end, a detection sensor 104 can be provided in the cooling system. The detection sensor 104 is provided in the cooling unit 102, specifically in the cooling flow path, and can detect various dimensional parameters of the cooling liquid, such as the pressure, flow rate, and temperature of the cooling liquid in the cooling flow path. Optionally, the number of detection sensors 104 can be multiple, corresponding to different positions of the cooling flow path of the cooling unit 102, to perform a full range of detection of the working state of the cooling unit 102.

[0078] The cooling unit 102, the detection sensor 104 and the heating device are all connected to the controller 106, and the controller 106 is used to implement the cooling unit 102 operation detection method recorded in each embodiment of the present application. The controller 106 can analyze the working state of the cooling unit 102 according to the detection of the detection sensor 104, and control the heating device when necessary.

[0079] In an exemplary embodiment, as shown in FIG2 , a cooling unit operation detection method is provided, which is described by taking the method applied to the controller 102 in FIG1 as an example, and includes the following steps 202 to 206. Among them:

[0080] Step 202, obtaining flow path data of more than two groups of cooling units.

[0081] Among them, each flow path data is detected by a detection sensor set at different detection positions of the cooling unit. There are multiple detection sensors, which are respectively set at different detection positions in the cooling flow path of the cooling unit, and each detection position can be provided with multiple detection sensors. That is, the detection sensors set at the same detection position can be regarded as a group of detection sensors, and the cooling unit is provided with multiple groups of detection sensors, each group of detection sensors is respectively provided at different detection positions. Each group of detection sensors includes multiple detection sensors, and the number and category of detection sensors in each group of detection sensors can be the same, so that the same category of data can be detected for each detection position of the cooling unit, and the data at the same detection position can be regarded as a group of flow path data. For the same data in the entire cooling flow path, such as flow data, only one detection sensor can be set in any group of detection sensors, and one flow data can be detected.

[0082] Specifically, the controller is connected to the detection sensor, and obtains the flow path data of the cooling unit from each detection sensor. The flow path data of different dimensions at each detection position is taken as a group, and the controller obtains more than two groups of flow path data. Among them, the flow path data includes reliable parameters and parameters to be verified. Reliable parameters and parameters to be verified can be classified in the following two ways:

[0083] In the first method, the controller is connected to the detection sensor. In addition to obtaining the data detected by the detection sensor, it can also obtain the circuit condition of the detection sensor, and compare and analyze the circuit condition of the detection sensor with the circuit condition of the detection sensor under normal operation and normal detection to determine whether the detection sensor is short-circuited, open-circuited, or other faults. If the detection sensor is judged to be faulty, the data detected by the detection sensor is marked as a parameter to be verified; if the detection sensor is judged to be not faulty, the data detected by the detection sensor is marked as a reliable parameter. Furthermore, in this case, the number of faulty detection sensors needs to be less than the number of non-faulty detection sensors.

[0084] The second method is that, based on the first method, the controller determines that each detection sensor has not failed, but the detection sensor is set in the cooling flow path and is difficult to repair. The accuracy of the controller's analysis of whether the detection sensor is faulty through the detection circuit situation is difficult to guarantee. According to the application scenario of the cooling unit and the heat dissipation requirements of the heating equipment, the data that may have a greater impact on the heat dissipation of the heating equipment will be marked as parameters to be verified, and other data will be marked as reliable parameters. This can prevent the failure of the detection sensor without the controller noticing, resulting in the failure of the operation detection of the cooling unit. Optionally, when there is more than one data that will have a greater impact, one of them can be arbitrarily selected and marked as a parameter to be verified. After completing the verification of the parameter to be verified, that is, after executing the subsequent steps, switch to another data mark as the parameter to be verified. By repeating the verification of different data, the reliability of the operation detection of the cooling unit can be effectively guaranteed.

[0085] Exemplarily, a group of detection sensors are respectively provided at the three detection positions of the cooling unit, and each group of detection sensors includes a pressure sensor, a temperature sensor and a flow sensor. The controller can obtain three groups of flow path data, each group of flow path data includes a pressure parameter, a temperature parameter and a flow parameter, and mark each parameter (a total of nine parameters) as a reliable parameter or a parameter to be verified according to the two methods described above.

[0086] Step 204: Determine theoretical detection parameters corresponding to the parameters to be verified based on the reliable parameters in each flow path data.

[0087] Specifically, the parameter marked as a parameter to be verified can be regarded as an invalid parameter. In order to accurately detect the operation of the cooling unit, it is necessary to calculate the theoretical value corresponding to the invalid parameter through other parameters as a substitute for the invalid parameter. The controller can perform operations based on the reliable parameters in each flow data and obtain the theoretical detection parameters corresponding to the parameter to be verified. Exemplarily, when the data analogy in the flow path data includes pressure, temperature and flow, the controller can calculate the flow based on the pressure and temperature.

[0088] Further, the controller can calculate the flow parameters under theoretical conditions and the temperature parameters under theoretical conditions. In an exemplary embodiment, the theoretical detection parameters include theoretical flow parameters and theoretical temperature parameters. As shown in FIG3 , step 204 includes steps 302 to 304. Among them:

[0089] Step 302: If the reliable parameters include pressure parameters and temperature parameters, and the parameter to be verified is a flow parameter, a theoretical flow parameter corresponding to the flow parameter is determined based on each pressure parameter and each temperature parameter.

[0090] Among them, the pressure parameter, temperature parameter and flow parameter are all obtained by the detection sensor, and each detection position can detect the pressure parameter, temperature parameter and flow parameter of the position. Among the flow parameters of multiple detection positions, there is a flow parameter marked as a parameter to be verified, and the other flow parameters, pressure parameters and temperature parameters are marked as reliable parameters.

[0091] Specifically, taking the flow path data obtained at a single detection position as an example, the flow path data at the detection position includes pressure parameters, temperature parameters and flow parameters, wherein the controller marks the flow parameter at the detection position as a parameter to be verified, and the marking basis is described above and will not be repeated here. Furthermore, the detection position can be marked as a designated detection position, and other detection positions can be marked as reference detection positions. The mark of the designated detection position changes with the change of the parameter to be verified, that is, the detection position corresponding to the parameter where the mark of the parameter to be verified is located will be marked as a designated detection position.

[0092] Since only cooling liquid flows in the cooling flow path of the cooling unit, and the cooling flow path is relatively closed, the flow parameters at different detection positions of the cooling unit should be the same. When the controller sets a flow parameter as a parameter to be verified, the theoretical flow parameter corresponding to the flow parameter can be directly obtained based on the flow parameter at the reference detection position, or the controller can obtain the theoretical flow parameter corresponding to the flow parameter through calculation based on the combination of flow path data at multiple detection positions and multiple pressure parameters and multiple temperature parameters corresponding to the reference detection position.

[0093] Step 304: If the reliable parameters include pressure parameters and flow parameters, and the parameter to be verified is a temperature parameter, a theoretical temperature parameter corresponding to the temperature parameter of the designated detection position is determined based on each pressure parameter, each flow parameter and each temperature parameter.

[0094] Among them, the detection positions of the cooling unit include reference detection positions and designated detection positions. The detection position corresponding to the parameter to be verified is the designated detection position, and the other detection positions are reference detection positions. Each detection position can detect the pressure parameter, temperature parameter and flow parameter of the position. Among the flow parameters of multiple detection positions, there is a temperature parameter marked as a parameter to be verified, and the other temperature parameters, pressure parameters and flow parameters are marked as reliable parameters.

[0095] Specifically, taking the flow path data obtained at a single detection position as an example, the flow path data at the detection position includes pressure parameters, temperature parameters and flow parameters, wherein the controller marks the temperature parameter at the detection position as a parameter to be verified, and the marking basis is described above and will not be repeated here. Since the temperature parameters at different detection positions in the cooling flow path of the cooling unit are different, the controller obtains the theoretical temperature parameter corresponding to the temperature parameter at the specified detection position through calculation based on the combination of the flow path data at multiple detection positions and the multiple flow parameters, multiple pressure parameters and multiple temperature parameters marked as reliable parameters.

[0096] Step 206, determining the operating state of the cooling unit according to the theoretical detection parameters and the parameters to be verified.

[0097] Specifically, after obtaining the theoretical detection parameters, the controller compares the theoretical detection parameters with the marked parameters to be verified, and analyzes the deviation between the theoretical detection parameters and the parameters to be verified. On the one hand, the two can be compared to analyze whether the detection sensor fails or there is a detection error, so as to facilitate the operation detection of the cooling unit; on the other hand, based on the comparison of the values ​​of the two with the values ​​that the cooling unit should have under normal operation, the relationship between the values ​​of the two and the set thresholds can be further analyzed, and then the operation status of the cooling unit can be analyzed.

[0098] The above-mentioned cooling unit operation detection method includes obtaining more than two groups of flow path data of the cooling unit, the flow path data includes reliable parameters and parameters to be verified, determining theoretical detection parameters corresponding to the parameters to be verified based on the reliable parameters in each flow path data, and determining the operation status of the cooling unit according to the theoretical detection parameters and the parameters to be verified. Among them, each flow path data is detected by a detection sensor set at a different detection position of the cooling unit. By analyzing the flow path data detected by the detection sensor on the cooling unit, calculating and obtaining the theoretical value corresponding to each flow path data, and comparing the theoretical value with the value obtained by detection, it is helpful to eliminate the influence of sensor failure on operation detection, and can realize accurate and reliable monitoring of the cooling unit and improve reliability.

[0099] In an exemplary embodiment, as shown in FIG. 4 , in step 302 , a theoretical flow parameter corresponding to the flow parameter is determined based on each pressure parameter and each temperature parameter, including steps 402 to 406 .

[0100] Step 402, determining a corresponding density parameter based on the pressure parameter and the temperature parameter at the same detection position.

[0101] The pressure parameters and temperature parameters are divided according to the different detection positions, and the density parameter of the detection position is calculated based on the pressure parameters and temperature parameters of the same detection position. Specifically, the controller stores a density table of the cooling liquid. The cooling liquid has different density parameters at different temperatures and pressures, and has a corresponding relationship with the temperature and pressure. The pressure parameters and temperature parameters of the same detection position are compared with the density table of the cooling liquid, the corresponding density value is locked in the density table, and the density value is used as the corresponding density parameter.

[0102] Furthermore, since the pressure parameters and temperature parameters of each detection position in this embodiment are reliable parameters, the density parameters of each detection position can be obtained, including the density parameters of the specified detection position.

[0103] Step 404, determining the flow rate parameters of each detection position according to the flow path parameters of the cooling unit, the corresponding density parameters and the pressure parameters.

[0104] The flow path parameters of the cooling unit include physical parameters of the cooling flow path of the cooling unit, such as the pipe diameter at each position of the cooling flow path, the height of the center of gravity of the cooling liquid in the cooling flow path based on the ground (which can be the height of the center of the pipe in the cooling flow path), etc. The height of the center of gravity of the cooling liquid can be obtained through pressure parameters, such as measuring the height of the corresponding pressure sensor.

[0105] Specifically, the controller combines the flow path parameters of the cooling unit, groups the detection positions, and calculates the flow rate parameters of the cooling liquid at each detection position according to the density parameters and pressure parameters of the cooling liquid at each detection position. For ease of understanding, an example is described below.

[0106] In one embodiment, the detection positions include measurement point 1 and measurement point 2, and both measurement point 1 and measurement point 2 detect pressure parameters and temperature parameters. Based on Bernoulli's principle, it can be obtained that the sum of the kinetic energy, gravitational potential energy and pressure potential energy of the cooling liquid is equal at the two measurement points, and the following formula can be listed:

[0107] (1)

[0108] Wherein, P1 is the pressure parameter measured at measuring point 1; P2 is the pressure parameter measured at measuring point 2; ρ1 is the density parameter of measuring point 1; ρ2 is the density parameter of measuring point 2; v1 is the flow rate parameter of the cooling liquid at measuring point 1; v2 is the flow rate parameter of the cooling liquid at measuring point 2; h1 is the center of gravity height of the cooling liquid at measuring point 1, h2 is the center of gravity height of the cooling liquid at measuring point 2; g is the acceleration due to gravity.

[0109] When the cooling unit is running stably, the mass and flow rate of the cooling liquid at measuring point 1 and measuring point 2 are equal. Then the formula can be listed:

[0110] (2)

[0111] Where d1 is the pipe diameter at measuring point 1; d2 is the pipe diameter at measuring point 2, and Q is the theoretical flow value, which is usually equal to the theoretical flow parameter.

[0112] By combining the above equations (1) and (2), the flow rate parameters of the cooling liquid at measuring point 2 can be calculated:

[0113] (3)

[0114] In the above calculation process, the combined equations (1) and (2) can also calculate the flow rate parameters of the cooling liquid at the measuring point 1, which is similar to equation (3) and will not be repeated here. Then the controller can determine the flow rate parameters of each detection position through the calculation of the above equation (3).

[0115] Step 406, combining the flow velocity parameter, each density parameter, the flow path parameter and each pressure parameter to determine a theoretical flow parameter corresponding to the flow parameter.

[0116] Specifically, after obtaining the flow rate parameters of each detection position, the controller performs a calculation based on the flow rate parameters of the specified detection position, combined with the density parameters of each detection position, the pressure parameters of each detection position, and the flow path parameters of the cooling flow path, to determine the theoretical flow parameters corresponding to the flow parameters. Combined with the above formula, the theoretical flow parameters can be obtained according to the theoretically obtained flow value Q:

[0117] (4)

[0118] In the formula, Q 计算 The theoretical flow parameters corresponding to the flow parameters at the specified detection location.

[0119] In this embodiment, by calculating the pressure parameters and temperature parameters of each detection position, based on the flow path parameters of the cooling flow path and the physical principles in the flow path, the theoretical flow parameters can be accurately calculated to facilitate the subsequent operation detection of the cooling unit according to the theoretical flow parameters, thereby improving the reliability and accuracy of the operation detection.

[0120] Furthermore, in an exemplary embodiment, the number of theoretical flow parameters is more than two. That is, the controller marks the flow parameters of different detection positions as parameters to be verified, switches the designated detection position, and obtains theoretical flow parameters corresponding to different flow parameters according to the calculations of the above formulas (1) to (4). As shown in FIG. 5 , step 206 includes steps 502 to 504.

[0121] Step 502, determining an average theoretical flow rate according to each theoretical flow rate parameter, and calculating the flow rate difference between the average theoretical flow rate and each flow rate parameter.

[0122] The controller calculates the theoretical flow parameters of different detection positions to obtain more than two theoretical flow parameters. When a detection sensor at a detection position fails, the theoretical flow parameter at the detection position corresponding to the failed detection sensor can be regarded as an invalid parameter and does not participate in the calculation of the average theoretical flow.

[0123] Specifically, the controller first calculates the average theoretical flow rate for each theoretical flow parameter, that is, the sum of the values ​​of each theoretical flow parameter is divided by the number of theoretical flow parameters to obtain the average theoretical flow rate. The controller then compares each flow parameter (that is, the flow value detected by the detection sensor) with the average theoretical flow rate to obtain a flow difference, which can be used to characterize the detection accuracy of the detection sensor set at the corresponding detection position.

[0124] Step 504: Determine the operating state of the cooling unit based on the preset deviation flow and the flow difference.

[0125] Among them, the controller stores a preset deviation flow, which can be a set flow value, which can be selected manually, or can be set by the controller based on the historical operation data of the cooling unit, and it is not limited here.

[0126] Specifically, the controller compares the flow difference with the preset deviation flow, and further determines the operating state of the cooling unit according to the magnitude of the two values. For example, when the flow difference is less than or equal to the preset deviation flow, the operating state of the cooling unit is determined to be normal, and the detection sensor at the detection position is also normal; when the flow difference is greater than the preset deviation flow, the operating state of the detection unit is determined to be abnormal, and the detection sensor at the detection position is also abnormal, specifically, the detection sensor for detecting the flow parameter is abnormal.

[0127] Furthermore, the controller may not be limited to comparing the preset deviation flow rate and the flow difference to determine the operating state of the cooling unit. In an exemplary embodiment, as shown in FIG6 , step 504 includes step 602 and step 604 .

[0128] Step 602, if the flow difference is less than or equal to the preset deviation flow, when the flow parameter is less than the flow abnormality threshold and the average theoretical flow is greater than or equal to the flow abnormality threshold, the operating state of the cooling unit is determined to be a flow detection abnormal state; when the flow parameter and the average theoretical flow are both less than the flow abnormality threshold, the operating state of the cooling unit is determined to be a low flow state.

[0129] Specifically, when the flow difference is less than or equal to the preset deviation flow, it means that the flow parameter detected by the detection sensor has a certain reliability, which is equivalent to verifying that the detection sensor has no faults and the detection is accurate.

[0130] Furthermore, the controller also stores a flow abnormality threshold. Since a flow rate in the cooling unit is too low, it will seriously affect the heat dissipation effect of the heating equipment. In order to ensure the normal operation of the cooling unit and the effective heat dissipation of the heating equipment, the flow abnormality threshold is set as the lower limit value. When the flow rate is not less than the flow abnormality threshold, it is deemed that the cooling unit can normally dissipate heat for the heating equipment.

[0131] Since the flow parameters are accurate, the controller can combine the flow parameters and the average theoretical flow, and compare them with the flow abnormality threshold to perform more accurate cooling unit operation detection. Among them, when the flow parameter is less than the flow abnormality threshold, and the average theoretical flow is greater than or equal to the flow abnormality threshold, it may be that there is a certain deviation in the flow parameter. Since the average theoretical flow is greater than or equal to the flow abnormality threshold, the actual flow in the cooling unit is not lower than the flow abnormality threshold, and the operating state of the cooling unit is determined to be a flow detection abnormal state, indicating that the detection sensor for detecting the flow set at the detection position is abnormal.

[0132] In another case, that is, when the flow parameters and the average theoretical flow are both less than the flow abnormality threshold, the flow parameters detected by the detection sensor and the average theoretical flow obtained by theoretical calculation are both less than the flow abnormality threshold, indicating that the actual flow in the cooling unit is lower than the flow abnormality threshold, and determining that the operating state of the cooling unit is a low flow state.

[0133] Step 604, if the flow difference is greater than the preset deviation flow, when the average theoretical flow is greater than or equal to the flow abnormality threshold, the operating state of the cooling unit is determined to be a flow detection abnormal state; when the average theoretical flow is less than the flow abnormality threshold, the operating state of the cooling unit is determined to be a low flow state.

[0134] Specifically, when the flow difference is greater than the preset deviation flow, it means that the flow parameter deviation detected by the detection sensor is large and unreliable. This is equivalent to verifying that the detection sensor is faulty and the detected flow parameter is abnormal.

[0135] Furthermore, the controller stores a flow abnormality threshold. Since the flow parameters are inaccurate, the controller only compares the average theoretical flow with the flow abnormality threshold to perform a more accurate cooling unit operation detection in this case. In the case where the average theoretical flow is greater than or equal to the flow abnormality threshold, it indicates that the actual flow in the cooling unit has not fallen below the flow abnormality threshold. However, since the detection sensor failure has been determined when the flow difference is compared with the preset deviation flow, the operation state of the cooling unit is determined to be a flow detection abnormal state at this time, indicating that the detection sensor for detecting the flow set at the detection position is abnormal.

[0136] In another case, that is, when the flow parameters and the average theoretical flow are both less than the flow abnormality threshold, the average theoretical flow obtained by the reliable theoretical calculation is less than the flow abnormality threshold, indicating that the actual flow in the cooling unit is lower than the flow abnormality threshold, and determining that the operating state of the cooling unit is a low flow state.

[0137] In this embodiment, the average theoretical flow rate is calculated, and the flow difference is calculated, and then the operating status of the cooling unit is preliminarily determined based on the flow difference. Finally, the operating status is further analyzed in combination with the flow abnormality threshold. Through sequential superimposed analysis and judgment, the flow parameters detected by the detection sensor are repeatedly verified. While accurately judging the operating status of the cooling unit, the operation of the detection sensor can also be judged, thereby improving the accuracy of the operation judgment.

[0138] Furthermore, on the basis that the operating state of the cooling unit may be an abnormal flow detection state or a low flow state, the controller can not only detect the operating state of the cooling unit, but also generate prompt information based on the detected operating state. In an exemplary embodiment, as shown in FIG7 , after step 206 , the cooling unit operation detection method further includes steps 702 and 704 .

[0139] Step 702: If the operating state of the cooling unit is a flow detection abnormal state, a flow detection abnormal prompt message is generated.

[0140] Specifically, the cooling system also includes an interactive device, and the controller is connected to the interactive device. When the operating state of the cooling unit is an abnormal flow detection state, the controller generates an abnormal flow detection instruction and sends it to the interactive device, and controls the interactive device to generate abnormal flow detection prompt information. In addition, the interactive device can also display the values ​​of various parameters of the cooling unit.

[0141] Exemplarily, the interactive device may include a display screen, an LED light, a buzzer, etc., to indicate abnormalities through sound and light.

[0142] Step 704: If the operating state of the cooling unit is a low flow state, a low flow prompt message is generated and the heating device corresponding to the cooling unit is controlled to stop working.

[0143] Specifically, the controller is connected to the interactive device. When the operating state of the cooling unit is a low flow state, the controller generates a low flow prompt instruction and sends it to the interactive device to control the interactive device to generate a low flow prompt message. At the same time, the controller is also connected to a heating device, which is matched with the cooling unit. The cooling unit is used to dissipate heat from the heating device. Since the cooling unit has a low flow rate and poor heat dissipation effect at this time, the heating device may be in danger of operation. In this case, the controller can trigger a chain failure and control the heating device corresponding to the cooling unit to stop working.

[0144] In this embodiment, after the operation detection of the cooling unit, corresponding prompts or actions are given according to the operation status of the cooling unit, which is conducive to timely detection of abnormalities and ensuring operation safety.

[0145] In an exemplary embodiment, if the reliable parameters include pressure parameters and flow parameters, and the parameter to be verified is a temperature parameter, then as shown in Figure 8, in step 304, based on each pressure parameter, each flow parameter and each temperature parameter, the theoretical temperature parameter step corresponding to the temperature parameter of the specified detection position is determined, including steps 802 to 808.

[0146] Step 802, determining corresponding flow velocity parameters according to the flow parameters and the flow path parameters of the cooling unit.

[0147] Specifically, since the reliable parameters include the flow parameters of each detection position, the flow velocity parameters of the detection position can be calculated based on the flow path parameters and the corresponding flow parameters of the detection position.

[0148] For example, when the detection location is measurement point 1, the flow parameter is marked as Q 检测 , the pipe diameter in the flow path parameter is d1, then the flow velocity parameter v1 at the detection position is: v1=(4Q 检测 ) / (πd1 2 ); For measuring point 2, the flow parameter is Q detection, and the pipe diameter in the flow path parameter is d2, then the flow velocity parameter v2 of measuring point 2 is: v2= (4Q 检测 ) / (πd2 2 ).

[0149] Step 804: Determine a corresponding density parameter based on the pressure parameter and the temperature parameter of the reference detection position.

[0150] Among them, the detection position of the cooling unit includes a reference detection position and a designated detection position. As described above, the detection position corresponding to the parameter to be verified will be marked as the designated detection position, and the remaining other detection positions will be marked as reference detection positions.

[0151] The pressure parameters and temperature parameters are divided according to the different detection positions, and the density parameter of the detection position is calculated based on the pressure parameters and temperature parameters of the same detection position. Specifically, the controller stores a density table of the cooling liquid. The cooling liquid has different density parameters at different temperatures and pressures, and has a corresponding relationship with the temperature and pressure. The pressure parameters and temperature parameters of the same detection position are compared with the density table of the cooling liquid, the corresponding density value is locked in the density table, and the density value is used as the corresponding density parameter.

[0152] Furthermore, since the parameter to be verified in this embodiment is a temperature parameter, that is, a temperature parameter of a designated detection position, in this step the controller can only query the density table for the pressure parameter and temperature parameter of the reference detection position to obtain the density parameter of the reference detection position, and cannot directly obtain the density parameter of the designated detection position.

[0153] Step 806, determining the density parameter of the designated detection position based on the corresponding flow velocity parameter, the corresponding density parameter, the flow path parameter and the pressure parameter.

[0154] Specifically, the controller combines the calculated corresponding flow velocity parameters, the calculated corresponding density parameters, the flow path parameters of the cooling unit and the detected pressure parameters, and then combines them with formula (1) listed by the Bernoulli principle to calculate the density parameters of the specified detection position.

[0155] Taking the measuring point 1 and the measuring point 2 in the above embodiment as an example, where the designated detection position is the measuring point 1, the density parameter can be calculated according to the following formula:

[0156] (5)

[0157] The parameters in the formula have been explained above and will not be repeated here.

[0158] Step 808, determining a theoretical temperature parameter according to a density parameter of the designated detection position and a pressure parameter of the designated detection position.

[0159] Specifically, after the above calculation process, the density parameter of the designated detection position has been obtained, and the controller stores a density table of the cooling liquid, which shows the corresponding relationship between the cooling liquid and the temperature and pressure. Based on the known density parameter and pressure parameter of the designated detection position, the controller can determine the theoretical temperature parameter of the designated detection position from the density table.

[0160] In this embodiment, by combining the pressure parameters, temperature parameters and flow parameters of each detection position in the reliable parameters for calculation, based on the flow path parameters of the cooling flow path and the physical principles in the flow path, the density parameters of the specified detection position can be accurately calculated, and then the theoretical temperature parameters of the specified detection position can be determined based on the density parameters and pressure parameters, so as to facilitate the subsequent operation detection of the cooling unit according to the theoretical temperature parameters, thereby improving the reliability and accuracy of the operation detection.

[0161] In an exemplary embodiment, the number of theoretical temperature parameters is more than two. That is, the controller marks the temperature parameters of different detection positions as parameters to be verified, switches the designated detection position, and obtains theoretical temperature parameters corresponding to different temperature parameters according to the calculation of the above formula (5). As shown in FIG. 9 , step 206 includes steps 902 to 904.

[0162] Step 902, determining an average theoretical temperature according to each theoretical temperature parameter, and calculating a temperature difference between the average theoretical temperature and each temperature parameter.

[0163] The controller calculates the theoretical temperature parameters of different detection positions to obtain more than two theoretical temperature parameters. When a detection sensor at a detection position fails, the theoretical temperature parameter at the detection position corresponding to the failed detection sensor can be regarded as an invalid parameter and does not participate in the calculation of the average theoretical temperature.

[0164] Specifically, the controller first calculates the average theoretical temperature for each theoretical temperature parameter, that is, the sum of the values ​​of each theoretical temperature parameter is divided by the number of theoretical temperature parameters to obtain the average theoretical temperature. The controller then compares each temperature parameter (that is, the temperature value detected by the detection sensor) with the average theoretical temperature to obtain a temperature difference, which can be used to characterize the detection accuracy of the detection sensor set at the corresponding detection position.

[0165] Step 904: Determine the operating state of the cooling unit based on the preset deviation temperature and the temperature difference.

[0166] The controller stores a preset deviation temperature, which may be a set temperature value, which may be selected manually, or may be set by the controller based on historical operating data of the cooling unit, and is not limited here.

[0167] Specifically, the controller compares the temperature difference with the preset deviation temperature, and further determines the operating state of the cooling unit according to the magnitude of the two values. For example, when the temperature difference is less than or equal to the preset deviation temperature, the operating state of the cooling unit is determined to be normal, and the detection sensor at the detection position is also normal; when the temperature difference is greater than the preset deviation temperature, the operating state of the detection unit is determined to be abnormal, and the detection sensor at the detection position is also abnormal, specifically, the detection sensor of the detection temperature parameter is abnormal.

[0168] Furthermore, the controller may also determine the operating state of the cooling unit by comparing the preset deviation temperature and the temperature difference. In an exemplary embodiment, as shown in FIG10 , step 904 includes step 1002 and step 1004 .

[0169] Step 1002, if the temperature difference is less than or equal to the preset deviation temperature, when the temperature parameter is greater than the temperature abnormality threshold and the average theoretical temperature is less than or equal to the temperature abnormality threshold, the operating state of the cooling unit is determined to be a temperature detection abnormal state; when the temperature parameter and the average theoretical temperature are both greater than the temperature abnormality threshold, the operating state of the cooling unit is determined to be a high temperature state.

[0170] Specifically, when the temperature difference is less than or equal to the preset deviation temperature, it means that the temperature parameter detected by the detection sensor has a certain reliability, which is equivalent to verifying that the detection sensor has no faults and the detection is accurate.

[0171] Furthermore, the controller also stores a temperature abnormality threshold. When the temperature in the cooling unit is too high, the heat exchange efficiency decreases, which will seriously affect the heat dissipation effect of the heating equipment. In order to ensure the normal operation of the cooling unit and the effective heat dissipation of the heating equipment, the temperature abnormality threshold is set as the upper limit value. When the temperature is lower than the temperature abnormality threshold, it is deemed that the cooling unit can normally dissipate heat for the heating equipment.

[0172] Since the temperature parameters are accurate, the controller can combine the temperature parameters and the average theoretical temperature, and compare them with the temperature anomaly threshold to perform more accurate cooling unit operation detection. Among them, when the temperature parameter is greater than the temperature anomaly threshold, and the average theoretical temperature is less than or equal to the temperature anomaly threshold, it may be that there is a certain deviation in the temperature parameter. Since the average theoretical temperature is less than or equal to the temperature anomaly threshold, the actual temperature in the cooling unit is still lower than the temperature anomaly threshold, and the operating state of the cooling unit is determined to be a temperature detection abnormal state, indicating that the detection sensor for detecting temperature set at the detection position is abnormal.

[0173] In another case, that is, when the temperature parameter and the average theoretical temperature are both greater than the temperature anomaly threshold, the temperature parameter detected by the detection sensor and the average theoretical temperature obtained by theoretical calculation are both greater than the temperature anomaly threshold, indicating that the actual temperature in the cooling unit is higher than the temperature anomaly threshold, and the operating state of the cooling unit is determined to be a high temperature state.

[0174] Step 1004, if the temperature difference is greater than the preset deviation temperature, when the average theoretical temperature is less than or equal to the temperature abnormality threshold, the operating state of the cooling unit is determined to be a temperature detection abnormal state; when the average theoretical temperature is greater than the temperature abnormality threshold, the operating state of the cooling unit is determined to be a high temperature state.

[0175] Specifically, when the temperature difference is greater than the preset deviation temperature, it means that the temperature parameter detected by the detection sensor has a large deviation and is not reliable. This is equivalent to verifying that the detection sensor is faulty and the detected temperature parameter is abnormal.

[0176] Furthermore, the controller stores a temperature anomaly threshold. Since the temperature parameter is inaccurate, the controller only compares the average theoretical temperature with the temperature anomaly threshold to perform a more accurate cooling unit operation detection in this case. In the case where the average theoretical temperature is less than or equal to the temperature anomaly threshold, it indicates that the actual temperature in the cooling unit is still lower than the temperature anomaly threshold. However, since the detection sensor failure has been determined when the temperature difference is compared with the preset deviation temperature, the operation state of the cooling unit is determined to be a temperature detection abnormal state at this time, indicating that the detection sensor for detecting the temperature set at the detection position is abnormal.

[0177] In another case, that is, when the temperature parameter and the average theoretical temperature are both greater than the temperature anomaly threshold, the average theoretical temperature obtained by the reliable theoretical calculation is greater than the temperature anomaly threshold, indicating that the actual temperature in the cooling unit is higher than the temperature anomaly threshold, and the operating state of the cooling unit is determined to be a high temperature state.

[0178] In this embodiment, the average theoretical temperature is calculated, and the temperature difference is calculated, and then the operating status of the cooling unit is preliminarily determined based on the temperature difference. Finally, the operating status is further analyzed in combination with the temperature abnormality threshold. Through sequential superimposed analysis and judgment, the temperature parameters detected by the detection sensor are repeatedly verified. While accurately judging the operating status of the cooling unit, the operation of the detection sensor can also be judged, thereby improving the accuracy of the operation judgment.

[0179] Furthermore, on the basis that the operating state of the cooling unit may be a temperature detection abnormal state or a high temperature state, the controller can not only detect the operating state of the cooling unit, but also generate prompt information based on the detected operating state. In an exemplary embodiment, as shown in FIG11 , after step 206 , the cooling unit operation detection method further includes steps 1102 and 1104 .

[0180] Step 1102: If the operating state of the cooling unit is a temperature detection abnormal state, a temperature detection abnormal prompt message is generated.

[0181] Specifically, the cooling system may include an interactive device, and the controller is connected to the interactive device. When the operating state of the cooling unit is a temperature detection abnormal state, the controller generates a temperature detection abnormality instruction and sends it to the interactive device, and controls the interactive device to generate temperature detection abnormality prompt information. In addition, the interactive device can also display the values ​​of various parameters of the cooling unit.

[0182] Step 1104: If the operating state of the cooling unit is a high temperature state, a high temperature prompt message is generated and the heating device corresponding to the cooling unit is controlled to stop working.

[0183] Specifically, the controller is connected to the interactive device. When the operating state of the cooling unit is a high temperature state, the controller generates a high temperature prompt instruction and sends it to the interactive device to control the interactive device to generate a high temperature prompt message. At the same time, the controller is also connected to a heating device, which is matched with the cooling unit. The cooling unit is used to dissipate heat from the heating device. Since the temperature of the cooling unit is high and the heat dissipation effect is poor at this time, the heating device may be in danger of operation. In this case, the controller can trigger a chain fault and control the heating device corresponding to the cooling unit to stop working.

[0184] In this embodiment, after the operation detection of the cooling unit, corresponding prompts or actions are given according to the operation status of the cooling unit, which is conducive to timely detection of abnormalities and ensuring operation safety.

[0185] Based on the same technical concept, the present application also provides a cooling system, which includes a cooling unit, a detection sensor and a controller. The cooling unit includes a cooling flow path for dissipating heat from a heat-generating device. The detection sensor is arranged on the cooling unit. The cooling unit, the detection sensor and the heat-generating device are all connected to the controller. The controller is used to implement the cooling unit operation detection method recorded in the above-mentioned embodiments.

[0186] Among them, the cooling unit 102 includes a cooling flow path, in which a cooling liquid, also called coolant, flows. The cooling liquid has a high specific heat capacity and can absorb a large amount of heat. As the cooling flow path flows, the heat is transferred to achieve cooling. Specifically, the cooling unit 102 in the cooling system is used to dissipate heat from the heat-generating device. The cooling flow path is arranged in a position where the heat-generating device needs to dissipate heat. The heat-generating device is dissipated by the flow of cooling liquid in the cooling flow path. Exemplarily, the heat-generating device can be an engine, and the cooling system corresponds to the engine cooling system. The cooling liquid in the cooling unit 102 is coolant, which can take away excess heat energy when the engine is running, so that the engine can run at a normal operating temperature.

[0187] If the cooling liquid in the cooling flow path is insufficient, or the temperature of the cooling liquid is too high, the heat dissipation of the heating device will be poor, and damage and failure will occur easily. To this end, a detection sensor 104 can be provided in the cooling system. The detection sensor 104 is provided in the cooling unit 102, specifically in the cooling flow path, and can detect various dimensional parameters of the cooling liquid, such as the pressure, flow rate, and temperature of the cooling liquid in the cooling flow path. Optionally, the number of detection sensors 104 can be multiple, corresponding to different positions of the cooling flow path of the cooling unit 102, to perform a full range of detection of the working state of the cooling unit 102.

[0188] The cooling unit 102, the detection sensor 104 and the heating device are all connected to the controller 106, and the controller 106 is used to implement the cooling unit 102 operation detection method recorded in each embodiment of the present application. The controller 106 can analyze the working state of the cooling unit 102 according to the detection of the detection sensor 104, and control the heating device when necessary.

[0189] In one embodiment, there are multiple detection sensors 104, which are respectively arranged at different detection positions in the cooling flow path of the cooling unit 102, and each detection position can be provided with multiple detection sensors 104. That is, the detection sensors 104 arranged at the same detection position can be regarded as a group of detection sensors, and the cooling unit 102 is provided with multiple groups of detection sensors, each group of detection sensors is respectively arranged at different detection positions. Each group of detection sensors includes multiple detection sensors 104, and the number and type of detection sensors 104 in each group of detection sensors are the same, so that the same type of data can be detected for each detection position of the cooling unit 102, and the data at the same detection position can be regarded as a group of flow path data.

[0190] In one embodiment, the cooling system further includes an interactive device, and the controller 106 is connected to the interactive device. When the operating state of the cooling unit 102 is an abnormal flow detection state, a low flow state, an abnormal temperature detection state, or a high temperature state, the controller 106 generates various instructions and sends them to the interactive device to control the corresponding prompt information of the interactive device. In addition, the interactive device can also display the values ​​of various parameters of the cooling unit 102. Exemplarily, the interactive device can include a display screen, an LED light, a buzzer, etc., to prompt abnormalities by sound and light.

[0191] In order to better understand the above scheme, a detailed explanation is given below in combination with a specific embodiment. In one embodiment, there are three detection positions set on the cooling unit, namely measuring point 1, measuring point 2 and measuring point 3, wherein the sensor in measuring point 1 is used to detect the supply pressure and supply temperature of the coolant, and a flow meter is also provided to obtain the supply flow rate; the sensor in measuring point 2 is used to detect the pressure and temperature of the exchanged liquid of the plate heat exchanger, and the difference between the pressure sensors at measuring point 1 and measuring point 2 can be used to determine whether the fine filter of the cooling unit is dirty and blocked; the sensor in measuring point 3 is used to detect the pressure and temperature before the pump inlet, which is used to control the cooling unit to replenish the liquid or start the electric heating. A sensor is also provided at the inlet of the cooling unit to detect the return temperature and pressure of the coolant. The entire cooling unit has no redundant sensors.

[0192] Cooling units are often used to cool high-power heating equipment (referred to as heating equipment). When the cooling unit's liquid supply flow is too low or the liquid supply temperature is too high, the cooling effect of the coolant on the heating equipment may not be ideal, causing the heating equipment to be overheated or even burning important components. Therefore, when the cooling unit's liquid supply flow is low or the liquid supply temperature is high, a chain failure will be triggered, causing the heating equipment to stop working to prevent equipment damage, and manual recovery is required to reset. In actual operation, if the sensor measurement is inaccurate, or the sensor has no fault feedback function, it cannot be identified after the fault and the chain failure cannot be shielded in advance, which will cause the cooling unit to falsely report a chain failure, causing the heating equipment to shut down abnormally and seriously affecting the execution of work tasks.

[0193] Usually, redundant sensors can be set up to obtain multiple redundant data and cross-compare them, so that the accuracy and reliability of the sensors can be judged. However, increasing the number of components will also lead to an increase in the cost of the cooling unit. At the same time, the number of electrical interfaces will also increase, the size of the electrical control box will become larger, and the reserved space for other components will decrease.

[0194] In this embodiment, the entire cooling unit has no redundant sensors. The coolant flow or temperature is automatically calculated based on the existing temperature sensor, pressure sensor, and flow sensor combination of the cooling unit. By comparing the sensor detection value with the calculated value of the remaining sensor combination, it is more accurately determined whether the unit state is abnormal, thereby reducing the false alarm rate and avoiding triggering chain failures that cause frequent power on and off of heating equipment. In addition, when one of the flow and temperature sensors fails, the method can be used to calculate the flow and temperature in an emergency without adding additional components. The sensor combination except the failed component can be directly used as a backup sensor, thereby improving the reliability of the unit.

[0195] Specifically, the liquid supply flow rate can be calculated based on measuring point 1 and measuring point 2. According to equation (1) of Bernoulli principle and equation (2) of flow path principle, equation (3) is obtained to calculate the flow velocity at measuring point 2, and then equation (3) is substituted into equation (2) to obtain equation (4) to calculate the flow rate.

[0196] Similarly, two flow values ​​can be calculated based on the combination of measuring point 1 and measuring point 3, and measuring point 2 and measuring point 3, that is, the cooling unit has Q 计算1 , Q 计算2 , Q 计算3 Three calculation flows for backup. When the cooling unit is running stably, Q 检测 (detected by flow sensor) and Q 计算1 , Q 计算2 , Q 计算3 Calculated average value (average theoretical flow) Q 平均 contrast.

[0197] If |Q 检测 -Q 平均 |≤ΔQ (preset deviation flow), then Q 检测 More accurate, with Q 检测 As the liquid supply flow value displayed externally. 检测 When the flow rate is less than the abnormal value (flow rate abnormal threshold), an abnormal cooling unit liquid supply flow alarm is generated. 平均 ≥ abnormal flow value, no cascading failure will be triggered; if Q 平均 <Abnormal flow value, a low liquid supply flow alarm for the cooling unit is generated, and a chain failure is triggered to control the heating equipment to shut down.

[0198] If |Q 检测 -Q 平均 |>ΔQ, then Q 检测 The measurement is wrong, Q 平均 As an external display of the liquid supply flow value, it also generates a flow sensor abnormality reminder. 平均When the flow rate is less than the abnormal value, the low liquid supply flow alarm of the cooling unit will be generated, and a chain failure will be triggered, causing the heating equipment to stop working.

[0199] When the temperature or pressure sensor is detected to be open or short-circuited, it is considered that the temperature or pressure sensor is faulty. The above method is applicable to the case where at least two of the three measuring points have intact temperature or pressure sensors. When more than two of the three measuring positions have failed temperature or pressure sensors, this method fails and the machine must be shut down to replace the faulty sensor.

[0200] When detecting flow, temperature can also be detected. The supply temperature of measuring point 1 can be calculated by combining the flow sensor and the pressure sensor. The coolant density at measuring point 1 is calculated as shown in the above formula (5). Based on the coolant density and the pressure detected by the pressure sensor, the coolant state at this location can be determined by looking up the density table, and then the coolant supply temperature T can be determined. 计算1 .

[0201] Similarly, the coolant supply temperature T can also be determined based on measuring points 1 and 3. 计算2 When the cooling unit is running stably, the temperature sensor detection value T1 (detected by the temperature sensor) at measuring point 1 is compared with T 计算1 , T 计算2 The calculated average value (average theoretical temperature) T 平均 contrast.

[0202] If |T1-T 平均 |≤ΔT (preset deviation temperature), T1 is considered to be more accurate and T1 is used as the external display of the liquid supply temperature value. When it is detected that T1> abnormal liquid supply temperature value (temperature abnormality threshold), an abnormal liquid supply temperature reminder of the cooling unit is generated. At this time, if T 平均 ≤ flow abnormal value, no cascading failure will be triggered. If T 平均 > Abnormal temperature value will generate a high supply temperature alarm for the cooling unit, trigger a chain failure, and control the heating equipment to shut down.

[0203] If |T1-T 平均 |>ΔT, it is considered that the measurement of T1 is wrong, and T 平均 As the external display of the liquid supply temperature value, it also generates an abnormal reminder of the liquid supply temperature sensor. 平均 >When the temperature reaches an abnormal value, a high supply temperature alarm for the cooling unit will be generated, triggering a chain fault and causing the heating equipment to stop working.

[0204] The above method is only applicable to the situation that the flow sensor is intact, the pressure sensor at measuring point 1 is intact, and one of the temperature and pressure sensors at measuring point 2 or measuring point 3 is intact. If the flow sensor fails, or the pressure sensor at measuring point 1 fails, or the temperature or pressure sensors at both measuring point 2 or measuring point 3 fail, this method fails and the machine must be shut down to replace the faulty sensor.

[0205] In addition to the flow sensor and the liquid supply temperature sensor, the temperature value at a certain point can also be determined by the above method after a temperature sensor in the pipeline fails, and the temperature value can be used as a backup temperature sensor for emergency use. For example, after the temperature sensor at measuring point 2 fails, the temperature value at measuring point 2 can be derived by the pressure sensor detection value at measuring point 2, the flow sensor detection value, and the temperature and pressure sensor detection values ​​at measuring point 1 or measuring point 3.

[0206] In this embodiment, the backup design of the flow sensor and the temperature sensor can be realized without adding additional sensors, and a secondary fault detection mechanism is adopted to ensure that a relatively accurate flow value or temperature value can be read as a basis for fault judgment, effectively avoiding false alarms, and at the same time, for flow sensors or temperature sensors without fault feedback, it is also possible to compare with the calculated value to determine whether the sensor is faulty. After the flow or temperature sensor fails, relatively accurate parameters can still be obtained by the above method to detect the operation of the cooling unit, and the calculated value can be used as a basis for judgment in an emergency, without the need to immediately shut down for maintenance, thereby improving the reliability of the cooling unit.

[0207] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0208] Based on the same inventive concept, the embodiment of the present application also provides a cooling unit operation detection device for implementing the cooling unit operation detection method involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in one or more cooling unit operation detection device embodiments provided below can refer to the limitations of the cooling unit operation detection method above, and will not be repeated here.

[0209] In an exemplary embodiment, as shown in FIG12 , a cooling unit operation detection device is provided, comprising: a detection module, a calculation module and an analysis module, wherein:

[0210] A detection module is used to obtain more than two groups of flow path data of the cooling unit; each flow path data is detected by a detection sensor arranged at different detection positions of the cooling unit, and the flow path data includes reliable parameters and parameters to be verified;

[0211] A calculation module, used for determining theoretical detection parameters corresponding to the parameters to be verified based on reliable parameters in each flow path data;

[0212] The analysis module is used to determine the operating status of the cooling unit based on theoretical detection parameters and parameters to be verified.

[0213] In one embodiment, the theoretical detection parameters include theoretical flow parameters and theoretical temperature parameters, and the operation module is also used to determine the theoretical flow parameters corresponding to the flow parameters based on each pressure parameter and each temperature parameter if the reliable parameters include pressure parameters and temperature parameters, and the parameter to be verified is a flow parameter; if the reliable parameters include pressure parameters and flow parameters, and the parameter to be verified is a temperature parameter, determine the theoretical temperature parameters corresponding to the temperature parameters of the specified detection position based on each pressure parameter, each flow parameter and each temperature parameter. Wherein, the pressure parameter, temperature parameter and flow parameter are all obtained by the detection sensor.

[0214] In one of the embodiments, the calculation module is also used to determine the corresponding density parameters based on the pressure parameters and temperature parameters of the same detection position, determine the flow rate parameters of each detection position according to the flow path parameters of the cooling unit, the corresponding density parameters and the pressure parameters, and determine the theoretical flow parameters corresponding to the flow parameters by combining the flow rate parameters, the density parameters, the flow path parameters and the pressure parameters.

[0215] In one embodiment, the number of theoretical flow parameters is more than two, and the analysis module is also used to determine the average theoretical flow based on each theoretical flow parameter, and calculate the flow difference between the average theoretical flow and each flow parameter, and determine the operating status of the cooling unit based on the preset deviation flow and flow difference.

[0216] In one of the embodiments, the analysis module is also used to determine that the operating state of the cooling unit is a flow detection abnormal state if the flow difference is less than or equal to a preset deviation flow, when the flow parameter is less than a flow abnormality threshold, and the average theoretical flow is greater than or equal to the flow abnormality threshold; determine that the operating state of the cooling unit is a low flow state when both the flow parameter and the average theoretical flow are less than the flow abnormality threshold; if the flow difference is greater than the preset deviation flow, when the average theoretical flow is greater than or equal to the flow abnormality threshold, determine that the operating state of the cooling unit is a flow detection abnormal state; when the average theoretical flow is less than the flow abnormality threshold, determine that the operating state of the cooling unit is a low flow state.

[0217] In one of the embodiments, the cooling unit operation detection device also includes a flow prompt module, which is used to generate flow detection abnormality prompt information if the operating state of the cooling unit is a flow detection abnormal state after the analysis module is executed; if the operating state of the cooling unit is a low flow state, generate low flow prompt information and control the heating equipment corresponding to the cooling unit to stop working.

[0218] In one embodiment, the operation module is further used to determine the corresponding flow rate parameter according to the flow rate parameter and the flow path parameter of the cooling unit, and determine the corresponding density parameter based on the pressure parameter and the temperature parameter of the reference detection position; the detection position of the cooling unit includes a reference detection position and a designated detection position. Based on the corresponding flow rate parameter, the corresponding density parameter, the flow path parameter and the pressure parameter, the density parameter of the designated detection position is determined, and the theoretical temperature parameter is determined according to the density parameter of the designated detection position and the pressure parameter of the designated detection position.

[0219] In one embodiment, the number of theoretical temperature parameters is more than two, and the analysis module is also used to determine the average theoretical temperature based on each theoretical temperature parameter, and calculate the temperature difference between the average theoretical temperature and each temperature parameter, and determine the operating status of the cooling unit based on the preset deviation temperature and the temperature difference.

[0220] In one of the embodiments, the analysis module is also used to determine that the operating state of the cooling unit is a temperature detection abnormal state if the temperature difference is less than or equal to a preset deviation temperature, when the temperature parameter is greater than a temperature abnormality threshold, and the average theoretical temperature is less than or equal to the temperature abnormality threshold; determine that the operating state of the cooling unit is a high temperature state when both the temperature parameter and the average theoretical temperature are greater than the temperature abnormality threshold; if the temperature difference is greater than the preset deviation temperature, when the average theoretical temperature is less than or equal to the temperature abnormality threshold, determine that the operating state of the cooling unit is a temperature detection abnormal state; when the average theoretical temperature is greater than the temperature abnormality threshold, determine that the operating state of the cooling unit is a high temperature state.

[0221] In one of the embodiments, the cooling unit operation detection device also includes a temperature prompt module, which is used to generate temperature detection abnormality prompt information if the operating state of the cooling unit is a temperature detection abnormal state after the analysis module is executed; if the operating state of the cooling unit is a high temperature state, generate high temperature prompt information and control the heating equipment corresponding to the cooling unit to stop working.

[0222] Each module in the above cooling unit operation detection device can be implemented in whole or in part by software, hardware and a combination thereof. Each module can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute operations corresponding to each module.

[0223] In an exemplary embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be shown in FIG13. The computer device includes a processor, a memory, an input / output interface, a communication interface, a display unit, and an input device. The processor, the memory, and the input / output interface are connected via a system bus, and the communication interface, the display unit, and the input device are connected to the system bus via the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner may be implemented through WIFI, a mobile cellular network, near field communication (NFC) or other technologies. When the computer program is executed by the processor, a cooling unit operation detection method is implemented. The display unit of the computer device is used to form a visually visible picture, which may be a display screen, a projection device, or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covering the display screen, or a button, trackball or touchpad set on the computer device shell, or an external keyboard, touchpad or mouse.

[0224] Those skilled in the art will understand that the structure shown in FIG. 13 is merely a block diagram of a partial structure related to the scheme of the present application, and does not constitute a limitation on the computer device to which the scheme of the present application is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different arrangement of components.

[0225] In one embodiment, a computer device is further provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above method embodiments when executing the computer program.

[0226] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.

[0227] In one embodiment, a computer program product is provided, including a computer program, which implements the steps in the above method embodiments when executed by a processor.

[0228] A person of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment method can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, an artificial intelligence (AI) processor, etc., but are not limited to this.

[0229] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0230] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A cooling unit operation detection method, characterized in that: The method comprises: Acquire more than two groups of flow path data of the cooling unit; each of the flow path data is detected by a detection sensor arranged at a different detection position of the cooling unit, and the flow path data includes reliable parameters and parameters to be verified; Determine a theoretical detection parameter corresponding to the parameter to be verified based on the reliable parameters in each of the flow path data; The operating state of the cooling unit is determined according to the theoretical detection parameters and the parameters to be verified.

2. The method according to claim 1, characterized in that The theoretical detection parameters include theoretical flow parameters and theoretical temperature parameters. The method of determining the theoretical detection parameters corresponding to the parameters to be verified based on the reliable parameters in each of the flow path data includes: If the reliable parameters include pressure parameters and temperature parameters, and the parameter to be verified is a flow parameter, a theoretical flow parameter corresponding to the flow parameter is determined based on each of the pressure parameters and each of the temperature parameters; the pressure parameter, the temperature parameter and the flow parameter are all obtained by the detection sensor; If the reliable parameters include the pressure parameter and the flow parameter, and the parameter to be verified is the temperature parameter, a theoretical temperature parameter corresponding to the temperature parameter of the specified detection position is determined based on each of the pressure parameters, each of the flow parameters and each of the temperature parameters.

3. The method according to claim 2, characterized in that The determining of the theoretical flow parameter corresponding to the flow parameter based on each of the pressure parameters and each of the temperature parameters includes: Determining a corresponding density parameter based on the pressure parameter and the temperature parameter at the same detection position; Determining the flow rate parameters of each detection position according to the flow path parameters of the cooling unit, the corresponding density parameters and the pressure parameters; The theoretical flow parameter corresponding to the flow parameter is determined in combination with the flow velocity parameter, each of the density parameters, the flow path parameter and each of the pressure parameters.

4. The method according to claim 3, characterized in that The number of the theoretical flow parameters is more than two, and determining the operating state of the cooling unit according to the theoretical detection parameters and the parameters to be verified includes: Determine an average theoretical flow rate according to each of the theoretical flow parameters, and calculate a flow difference between the average theoretical flow rate and each of the flow parameters; Based on the preset deviation flow and the flow difference, the operating state of the cooling unit is determined.

5. The method according to claim 4, characterized in that The step of determining the operating state of the cooling unit based on the preset deviation flow and the flow difference includes: If the flow difference is less than or equal to the preset deviation flow, when the flow parameter is less than the flow abnormality threshold, and the average theoretical flow is greater than or equal to the flow abnormality threshold, it is determined that the operating state of the cooling unit is a flow detection abnormal state; when both the flow parameter and the average theoretical flow are less than the flow abnormality threshold, it is determined that the operating state of the cooling unit is a low flow state; If the flow difference is greater than the preset deviation flow, when the average theoretical flow is greater than or equal to the flow abnormality threshold, the operating state of the cooling unit is determined to be the flow detection abnormality state; when the average theoretical flow is less than the flow abnormality threshold, the operating state of the cooling unit is determined to be the low flow state.

6. The method according to claim 5, characterized in that After determining the operating state of the cooling unit according to the theoretical detection parameter and the parameter to be verified, the method further includes: If the operating state of the cooling unit is a flow detection abnormal state, generating a flow detection abnormal prompt message; If the operating state of the cooling unit is a low flow state, a low flow prompt message is generated and the heating device corresponding to the cooling unit is controlled to stop working.

7. The method according to claim 2, characterized in that The determining, based on each of the pressure parameters, each of the flow parameters and each of the temperature parameters, a theoretical temperature parameter corresponding to the temperature parameter at a specified detection position comprises: Determining corresponding flow velocity parameters according to the flow parameters and the flow path parameters of the cooling unit; Determine a corresponding density parameter based on the pressure parameter and the temperature parameter of the reference detection position; the detection position of the cooling unit includes the reference detection position and the designated detection position; Determining a density parameter of a designated detection position based on the corresponding flow velocity parameter, the corresponding density parameter, the flow path parameter, and the pressure parameter; The theoretical temperature parameter is determined according to the density parameter of the designated detection position and the pressure parameter of the designated detection position.

8. The method according to claim 7, characterized in that The number of the theoretical temperature parameters is more than two, and determining the operating state of the cooling unit according to the theoretical detection parameters and the parameters to be verified includes: Determine an average theoretical temperature according to each of the theoretical temperature parameters, and calculate a temperature difference between the average theoretical temperature and each of the temperature parameters; Based on the preset deviation temperature and the temperature difference, the operating state of the cooling unit is determined.

9. The method according to claim 8, characterized in that The step of determining the operating state of the cooling unit based on the preset deviation temperature and the temperature difference includes: If the temperature difference is less than or equal to the preset deviation temperature, when the temperature parameter is greater than the temperature abnormality threshold, and the average theoretical temperature is less than or equal to the temperature abnormality threshold, it is determined that the operating state of the cooling unit is a temperature detection abnormal state; when both the temperature parameter and the average theoretical temperature are greater than the temperature abnormality threshold, it is determined that the operating state of the cooling unit is a high temperature state; If the temperature difference is greater than the preset deviation temperature, when the average theoretical temperature is less than or equal to the temperature abnormality threshold, the operating state of the cooling unit is determined to be the temperature detection abnormal state; when the average theoretical temperature is greater than the temperature abnormality threshold, the operating state of the cooling unit is determined to be a high temperature state.

10. The method according to claim 9, characterized in that After determining the operating state of the cooling unit according to the theoretical detection parameter and the parameter to be verified, the method further includes: If the operating state of the cooling unit is a temperature detection abnormal state, generating temperature detection abnormal prompt information; If the operating state of the cooling unit is a high temperature state, a high temperature prompt message is generated and the heating device corresponding to the cooling unit is controlled to stop working.

11. A cooling unit operation detection device, characterized in that: The device comprises: A detection module, used to obtain more than two sets of flow path data of the cooling unit; each of the flow path data is detected by a detection sensor arranged at a different detection position of the cooling unit, and the flow path data includes reliable parameters and parameters to be verified; A calculation module, used for determining a theoretical detection parameter corresponding to the parameter to be verified based on the reliable parameters in each of the flow path data; The analysis module is used to determine the operating state of the cooling unit according to the theoretical detection parameters and the parameters to be verified.

12. A cooling system, characterized in that: The cooling system includes a cooling unit, a detection sensor and a controller. The cooling unit includes a cooling flow path for dissipating heat from a heat generating device. The detection sensor is arranged on the cooling unit. The cooling unit, the detection sensor and the heat generating device are all connected to the controller. The controller is used to implement the cooling unit operation detection method described in any one of claims 1 to 10.

13. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 10 are implemented.

14. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 10 are implemented.

15. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 10 are implemented.

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