Sub-health diagnosis methods, devices, and electronic equipment for refrigeration and heating systems

Abstract

This application relates to a method, apparatus, and electronic device for diagnosing sub-health conditions in a refrigeration and heating system. The method includes: determining the energy efficiency deviation of the refrigeration and heating system based on its theoretical and actual energy efficiency values; determining the equipment influence rate of each device in the refrigeration and heating system when the energy efficiency deviation does not meet predetermined conditions; identifying a target device from among the devices based on the equipment influence rate; and detecting the related factors of the target device to determine whether the target device is faulty. This application solves the technical problem of low diagnostic efficiency in refrigeration and heating systems.

Description

Technical Field

[0001] This application relates to the field of refrigeration and heating system diagnosis, and in particular to a method, device, and electronic device for diagnosing sub-health conditions in refrigeration and heating systems. Background Technology

[0002] In existing technologies, cooling and heating systems comprise multiple devices that work together to achieve cooling and heating functions. However, if a cooling and heating system is in a sub-optimal state—that is, it can operate but its performance is poor—it is difficult to effectively determine which device is malfunctioning and causing a systemic problem. The usual approach is for engineers to conduct regular maintenance checks or rely on experience-based judgment after a fault occurs. However, this method struggles to accurately reflect the system's operating status in real time, resulting in low efficiency in system diagnosis. Summary of the Invention

[0003] This application provides a method, apparatus, and electronic device for diagnosing sub-health conditions in refrigeration and heating systems, in order to solve the technical problem of low diagnostic efficiency in refrigeration and heating systems.

[0004] In a first aspect, this application provides a sub-health diagnosis method for a refrigeration and heating system, comprising: determining the energy efficiency deviation of the refrigeration and heating system based on the theoretical energy efficiency value and the actual energy efficiency value of the refrigeration and heating system; determining the equipment influence rate of each device in the refrigeration and heating system when the energy efficiency deviation does not meet predetermined conditions; identifying a target device from the various devices based on the equipment influence rate; and detecting the related factors of the target device to determine whether the target device is faulty.

[0005] Secondly, this application provides a sub-health diagnostic device for a refrigeration and heating system, comprising: a first determining module, configured to determine the energy efficiency deviation of the refrigeration and heating system based on the theoretical energy efficiency value and the actual energy efficiency value of the refrigeration and heating system; a second determining module, configured to determine the equipment influence rate of each device in the refrigeration and heating system when the energy efficiency deviation does not meet predetermined conditions; a third determining module, configured to determine a target device from the various devices based on the equipment influence rate; and a detection module, configured to detect the related factors of the target device to determine whether the target device is faulty.

[0006] As an optional example, the first determining module includes: a calculation unit, configured to calculate the theoretical energy efficiency value based on the theoretical cooling capacity of the refrigeration and heating system and the theoretical power consumption of each of the devices; calculate the actual energy efficiency value based on the actual cooling capacity of the refrigeration and heating system and the actual power consumption of each of the devices; and determine the ratio of the difference between the theoretical energy efficiency value and the actual energy efficiency value to the theoretical energy efficiency value as the energy efficiency deviation.

[0007] As an optional example, the aforementioned devices include chiller units, refrigeration pumps, cooling pumps, cooling towers, and terminal equipment. The aforementioned calculation unit includes: a first calculation subunit, used to compare the aforementioned theoretical cooling capacity with the sum of the theoretical power consumption of the aforementioned chiller units, refrigeration pumps, cooling pumps, cooling towers, and terminal equipment, and the obtained ratio is used as the aforementioned theoretical energy efficiency value.

[0008] As an optional example, the aforementioned devices include chiller units, refrigeration pumps, cooling pumps, cooling towers, and terminal equipment. The aforementioned calculation unit includes a second calculation subunit, used to compare the aforementioned actual cooling capacity with the sum of the actual power consumption of the aforementioned chiller units, refrigeration pumps, cooling pumps, cooling towers, and terminal equipment, and the obtained ratio is used as the aforementioned actual energy efficiency value.

[0009] As an optional example, the second determining module includes: a determining unit, used to obtain the power consumption ratio of each of the above devices; and to determine the product of the power consumption ratio of each of the above devices and the device energy efficiency deviation as the device influence rate of each of the above devices.

[0010] As an optional example, the determining unit includes a determining subunit, used to determine the ratio of the actual power consumption of each of the above devices to the actual cooling capacity of the above-mentioned cooling and heating system as the power consumption ratio of the above-mentioned devices.

[0011] As an optional example, the above-mentioned detection module includes: a detection unit, used for the following when the target equipment is a chiller unit: the related factors include condensing temperature, main unit load rate, number of operating units, chilled water outlet temperature, condenser terminal temperature difference, and evaporator terminal temperature difference; when the target equipment is a chilled water pump: the related factors include chilled water supply and return pressure difference, chilled water supply and return temperature difference, and hydraulic imbalance rate; when the target equipment is a cooling pump: the related factors include cooling water supply and return temperature difference and cooling water supply and return pressure difference; when the target equipment is a cooling tower: the related factors include proximity and number of operating units; and when the target equipment is a terminal device: the related factors include supply air temperature, return air temperature, and equipment supply and return water temperature.

[0012] Thirdly, this application provides an electronic device, comprising: at least one communication interface; at least one bus connected to the at least one communication interface; at least one processor connected to the at least one bus; and at least one memory connected to the at least one bus, wherein the memory stores a computer program, and the processor is configured to implement the sub-health diagnosis method of any of the above-mentioned refrigeration and heating systems when executing the computer program.

[0013] Fourthly, this application also provides a computer storage medium storing computer-executable instructions, which are used to execute the sub-health diagnosis method of the refrigeration and heating system described in any of the above claims of this application.

[0014] Compared with the prior art, the technical solution provided in this application has the following advantages: The solution provided in this application determines the energy efficiency deviation of the refrigeration and heating system based on the theoretical energy efficiency value and the actual energy efficiency value of the refrigeration and heating system; when the energy efficiency deviation does not meet the predetermined conditions, the equipment influence rate of each device in the refrigeration and heating system is determined; the target device is determined from the devices based on the equipment influence rate; and the related factors of the target device are detected to determine whether the target device is faulty. In the case of abnormal energy efficiency of the refrigeration and heating system, the most critical target device can be determined based on the equipment influence rate of each device in the refrigeration and heating system, and the related factors of the target device can be detected to determine whether the target device is faulty, thereby improving the efficiency of diagnosing the refrigeration and heating system. Attached Figure Description

[0015] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention.

[0016] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0017] One or more embodiments are illustrated by way of example with reference numerals in the accompanying drawings. These illustrations do not constitute a limitation on the embodiments. Elements with the same reference numerals in the drawings are denoted as similar elements. Unless otherwise stated, the figures in the drawings are not to be limited by scale.

[0018] Figure 1 A flowchart illustrating a sub-health diagnosis method for a refrigeration and heating system provided in this application embodiment;

[0019] Figure 2 A flowchart of another sub-health diagnosis method for a refrigeration and heating system provided in this application embodiment;

[0020] Figure 3 A schematic diagram of the associated factors of a unit in a sub-health diagnosis method for a refrigeration and heating system provided in this application embodiment;

[0021] Figure 4A schematic diagram illustrating the correlation factors of a refrigeration pump in a sub-health diagnosis method for a refrigeration and heating system provided in this application embodiment;

[0022] Figure 5 A schematic diagram illustrating the correlation factors of a cooling pump in a sub-health diagnosis method for a refrigeration and heating system provided in this application embodiment;

[0023] Figure 6 A schematic diagram of the correlation factors of a cooling tower in a sub-health diagnosis method for a refrigeration and heating system provided in this application embodiment;

[0024] Figure 7 A schematic diagram of the associated factors of the terminal device in a sub-health diagnosis method for a refrigeration and heating system provided in this application embodiment;

[0025] Figure 8 A schematic diagram of the sub-health diagnosis device for a refrigeration and heating system provided in this application embodiment;

[0026] Figure 9 This is a schematic diagram of an electronic device provided in an embodiment of this application. Detailed Implementation

[0027] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0028] The following disclosure provides numerous different embodiments or examples for implementing various structures of the invention. To simplify the disclosure, specific examples of components and arrangements are described below. These are merely examples and are not intended to limit the scope of the invention. Furthermore, reference numerals and / or letters may be repeated in different examples. Such repetition is for simplification and clarity and does not in itself indicate a relationship between the various embodiments and / or arrangements discussed.

[0029] To address the technical problem of low diagnostic efficiency in existing refrigeration and heating systems, this application provides a sub-health diagnostic method for refrigeration and heating systems, which can improve the diagnostic efficiency of refrigeration and heating systems.

[0030] Figure 1 A flowchart illustrating a sub-health diagnosis method for a refrigeration and heating system provided in this application embodiment. Figure 1 As shown, the sub-health diagnosis methods for the above-mentioned refrigeration and heating systems include:

[0031] S102, Determine the energy efficiency deviation of the above-mentioned refrigeration and heating system based on the theoretical energy efficiency value and the actual energy efficiency value of the above-mentioned refrigeration and heating system.

[0032] S104, when the above-mentioned energy efficiency deviation does not meet the predetermined conditions, determine the equipment impact rate of each device in the above-mentioned refrigeration and heating system;

[0033] S106, Based on the above-mentioned equipment impact rate, determine the target equipment from the above-mentioned equipment;

[0034] S108, detect the related factors of the above-mentioned target equipment to determine whether the above-mentioned target equipment is faulty.

[0035] The aforementioned cooling and heating system can consist of multiple devices. For example, a cooling and heating system may include multiple sets of cooling and heating equipment, which together constitute the system. Alternatively, a cooling and heating system may include multiple devices that cooperate with each other. The combination of multiple devices constitutes a cooling and heating system. For example, a cooling and heating system may include chiller units, chilled water pumps, cooling pumps, cooling towers, and terminal equipment. These multiple devices cooperate with each other to form a cooling and heating system that provides cooling and heating services.

[0036] In this embodiment, the theoretical energy efficiency value of the aforementioned cooling and heating system is the estimated energy efficiency, while the actual energy efficiency value is the actual energy efficiency produced by the cooling and heating system. The energy efficiency deviation is calculated based on both values. The energy efficiency deviation represents the health status of the cooling and heating system; the higher the deviation, the worse the health status. If the energy efficiency deviation is greater than a first value, the system can be considered to be in a sub-healthy state. If the energy efficiency deviation is greater than a second value, the system can be considered to have malfunctioned and can no longer provide cooling and heating services. The second value is a value greater than the first value.

[0037] In this embodiment, the predetermined conditions described above can be set, such as the first value and the second value mentioned above. The first value and the second value can be fixed values, empirical values, or values ​​that change according to conditions. For example, different values ​​can be set according to time periods. In a cooling environment, the first value and the second value can be reduced during the day due to the higher temperature, thereby improving diagnostic sensitivity. At night, when the temperature decreases, the first value and the second value can be increased. The opposite is true in a heating environment.

[0038] Furthermore, the aforementioned predetermined conditions can also involve multiple judgments. For example, the first judgment might assess the relationship between the energy efficiency deviation and a preset value. If the deviation is greater than the preset value, the predetermined conditions are considered not met. If it is less than the preset value, a second judgment can be performed. If the second judgment passes, the predetermined conditions are considered met; if it fails, the predetermined conditions are considered not met. The second judgment could assess whether the target controlled by the cooling and heating system is functioning normally. For example, if the purpose of the cooling and heating system is air cooling, the air temperature would be checked to ensure it is normal; if the purpose is water cooling, the water temperature would be checked to ensure it is normal.

[0039] The aforementioned equipment impact rate represents the magnitude of the impact on energy efficiency deviation when it fails to meet predetermined conditions. A higher impact rate indicates a greater influence on energy efficiency deviation and is more likely to be a factor contributing to system suboptimal performance. Therefore, target equipment is identified based on the equipment impact rate, and related factors for that target equipment are then investigated.

[0040] The aforementioned related factors can be parameters of the target equipment. For example, if the target equipment is a chilled water pump, the related factors can be parameters of the chilled water supply and return pressure difference, chilled water supply and return temperature difference, hydraulic imbalance rate, etc.

[0041] By detecting the factors related to the target device, it can be determined whether the target device is abnormal.

[0042] In this embodiment, multiple target devices can be selected and detected sequentially according to their influence rate from largest to smallest.

[0043] The solution provided in this application determines the energy efficiency deviation of the refrigeration and heating system based on the theoretical and actual energy efficiency values. When the energy efficiency deviation does not meet predetermined conditions, the device influence rate of each device in the refrigeration and heating system is determined. Based on the device influence rate, a target device is identified from the devices. The related factors of the target device are detected to determine whether the target device is faulty. This solution can determine the most critical target device based on the device influence rate of each device in the refrigeration and heating system when the energy efficiency of the refrigeration and heating system is abnormal, and detect the related factors of the target device to determine whether the target device is faulty, thereby improving the efficiency of diagnosing the refrigeration and heating system.

[0044] As an optional example, determining the energy efficiency deviation of the refrigeration and heating system based on the theoretical energy efficiency value and the actual energy efficiency value of the refrigeration and heating system includes: calculating the theoretical energy efficiency value based on the theoretical cooling capacity of the refrigeration and heating system and the theoretical power consumption of each of the above-mentioned devices; calculating the actual energy efficiency value based on the actual cooling capacity of the refrigeration and heating system and the actual power consumption of each of the above-mentioned devices; and determining the energy efficiency deviation as the ratio of the difference between the theoretical energy efficiency value and the actual energy efficiency value to the theoretical energy efficiency value.

[0045] In this embodiment, when determining the energy efficiency deviation of the refrigeration and heating system based on its theoretical and actual energy efficiency values, the theoretical and actual energy efficiency values ​​can be calculated first. The theoretical energy efficiency value can be calculated based on the theoretical cooling capacity of the refrigeration and heating system and the theoretical power consumption of each device. That is, it calculates the relationship between power consumption and cooling capacity under theoretical conditions. The actual energy efficiency value, on the other hand, is the relationship between power consumption and cooling capacity under actual conditions. The theoretical and actual energy efficiency values ​​are calculated using this data. The ratio of the difference between the theoretical and actual energy efficiency values ​​to the theoretical energy efficiency value is then determined as the energy efficiency deviation. This allows calculation of the difference between the relationship between power consumption and cooling capacity under actual conditions and the relationship under theoretical conditions. This difference is the energy efficiency deviation. The larger the energy efficiency deviation, the less healthy the system.

[0046] As an optional example, the aforementioned devices include chiller units, refrigeration pumps, cooling pumps, cooling towers, and terminal equipment. Calculating the theoretical energy efficiency value based on the theoretical cooling capacity of the aforementioned refrigeration and heating system and the theoretical power consumption of the aforementioned devices includes: comparing the theoretical cooling capacity with the sum of the theoretical power consumption of the aforementioned chiller units, refrigeration pumps, cooling pumps, cooling towers, and terminal equipment, and using the resulting ratio as the theoretical energy efficiency value.

[0047] In this embodiment, taking refrigeration as an example, the various devices in the refrigeration and heating system include a chiller unit, a chilled water pump, a cooling pump, a cooling tower, and terminal equipment. The chiller unit is the refrigeration unit, and the chilled water pump, cooling pump, and cooling tower work in conjunction with the chiller unit to perform refrigeration. The terminal equipment can be the control system of the refrigeration and heating system or an air supply / discharge device. When calculating the theoretical energy efficiency value, the sum of the theoretical power consumption of the chiller unit, chilled water pump, cooling pump, cooling tower, and terminal equipment can be calculated. The theoretical cooling capacity of the refrigeration and heating system is then compared with this sum. The resulting ratio is the ratio of cooling capacity to power consumption under theoretical conditions, and is considered the theoretical energy efficiency value.

[0048] As an optional example, the aforementioned devices include chiller units, refrigeration pumps, cooling pumps, cooling towers, and terminal equipment. Calculating the actual energy efficiency value based on the actual cooling capacity of the refrigeration and heating system and the actual power consumption of the aforementioned devices includes: comparing the actual cooling capacity with the sum of the actual power consumption of the chiller units, refrigeration pumps, cooling pumps, cooling towers, and terminal equipment, and using the resulting ratio as the actual energy efficiency value.

[0049] In this embodiment, taking refrigeration as an example, the various devices in the refrigeration and heating system include a chiller unit, a chilled water pump, a cooling pump, a cooling tower, and terminal equipment. The chiller unit is the refrigeration unit, and the chilled water pump, cooling pump, and cooling tower work in conjunction with the chiller unit to perform refrigeration. The terminal equipment can be the control system of the refrigeration and heating system or an air supply / discharge device. When calculating the actual energy efficiency value, the sum of the actual power consumption of the chiller unit, chilled water pump, cooling pump, cooling tower, and terminal equipment can be calculated, and the actual cooling capacity of the refrigeration and heating system can be compared with this sum. The resulting ratio is the ratio of cooling capacity to power consumption under actual conditions, and is considered the actual energy efficiency value.

[0050] As an optional example, when the energy efficiency deviation does not meet the predetermined conditions, determining the equipment impact rate of each device in the refrigeration and heating system includes: obtaining the power consumption ratio of each device; and determining the product of the power consumption ratio of each device and the equipment energy efficiency deviation as the equipment impact rate of each device.

[0051] In this embodiment, when calculating the device impact rate of each device in the refrigeration and heating system, the power consumption ratio of each device can be obtained. Then, the product of the power consumption ratio and the device energy efficiency deviation is determined as the device impact rate. Here, the device energy efficiency deviation refers to the energy efficiency deviation of the device itself. The calculation method for the energy efficiency deviation of each device is recorded below. That is, the product of the device energy efficiency deviation of each device and its own power consumption ratio is used only as its own device impact rate.

[0052] As an optional example, obtaining the power consumption ratio of each of the above devices includes: determining the power consumption ratio of each of the above devices as the ratio of the actual power consumption of each of the above devices to the actual cooling capacity of the above cooling and heating system.

[0053] This embodiment provides a method for calculating the power consumption ratio of a device. Specifically, it compares the actual power consumption of the device with the actual cooling capacity of the refrigeration / heating system. The resulting ratio represents the actual power consumption of the device corresponding to each unit of actual cooling capacity of the refrigeration / heating system. The higher the actual power consumption, the higher the power consumption ratio; and the higher the power consumption ratio, the greater the device's impact rate.

[0054] As an optional example, the detection of related factors of the target equipment to determine whether the target equipment is faulty includes: when the target equipment is a chiller unit, the related factors include condensing temperature, main unit load rate, number of operating units, chilled water outlet temperature, condenser terminal temperature difference, and evaporator terminal temperature difference; when the target equipment is a chilled water pump, the related factors include chilled water supply and return pressure difference, chilled water supply and return temperature difference, and hydraulic imbalance rate; when the target equipment is a cooling pump, the related factors include cooling water supply and return temperature difference and cooling water supply and return pressure difference; when the target equipment is a cooling tower, the related factors include proximity and number of operating units; when the target equipment is a terminal device, the related factors include supply air temperature, return air temperature, and equipment supply and return water temperature.

[0055] In this embodiment, after the target device is determined, the correlation factors to be detected vary depending on the target device. For example, when the target device is a chiller unit, the correlation factors include condensing temperature, main unit load rate, number of operating units, chilled water outlet temperature, condenser terminal temperature difference, and evaporator terminal temperature difference; when the target device is a chilled water pump, the correlation factors include chilled water supply and return pressure difference, chilled water supply and return temperature difference, and hydraulic imbalance rate; when the target device is a cooling pump, the correlation factors include cooling water supply and return temperature difference and cooling water supply and return pressure difference; when the target device is a cooling tower, the correlation factors include proximity and number of operating units; and when the target device is a terminal device, the correlation factors include supply air temperature, return air temperature, and equipment supply and return water temperature.

[0056] According to the method provided in this embodiment, it is possible to determine whether the system is in a sub-healthy operating state based on the system energy efficiency deviation. If it is in a sub-healthy state, the equipment with the greatest impact on the sub-health of the system can be located based on the equipment impact rate, and then the related factors can be investigated, and the investigation results and optimization strategies can be output. This method can quickly identify the "bottleneck" equipment in the system, and at the same time, it can analyze the related factors of the equipment and predict the equipment failure trend before the failure occurs, thereby reducing the failure rate and improving the stability and reliability of the system.

[0057] Figure 2 This is a flowchart of one embodiment. The sub-health diagnosis system includes the following steps:

[0058] Step 1: Systemic sub-health diagnosis begins;

[0059] Step 2: Verify the system instruments and meters;

[0060] Step 3: Read the real-time operating data of the system and calculate the system energy efficiency deviation ΔEER;

[0061] The data read includes: the temperature difference between the inlet and outlet water of the chilled water main, the chilled water flow rate, the cooling water flow rate, the temperature difference between the inlet and outlet water of the chilled water in the unit, the chiller load rate, the chiller inlet water temperature, the chiller power consumption, the chilled water pump power consumption, the cooling pump power consumption, the cooling tower power consumption, and the terminal equipment power consumption.

[0062] Wherein, the system energy efficiency deviation ΔEER=(EERx-EER) / EERx;

[0063] Wherein, the theoretical energy efficiency value of the system is EERx = Qzx / (Wjx + Wdx + Wqx + Wtx + Wmx); the actual energy efficiency value of the system is EER = Qz / (Wj + Wd + Wq + Wt + Wm);

[0064] Among them, the theoretical cooling capacity Qzx is calculated from the temperature difference and flow rate of the inlet and outlet water of the chilled water main; the theoretical power consumption Wjx of the chiller unit is the ratio of cooling capacity to the theoretical energy efficiency value COPx of the chiller. The cooling capacity of the chiller unit is calculated from the temperature difference and flow rate of the inlet and outlet water of the chiller unit. The theoretical energy efficiency value COPx of the chiller is calculated from the chiller performance curve, chiller load rate, and chiller inlet water temperature; the theoretical power consumption Wdx of the chilled water pump and the theoretical power consumption Wqx of the cooling pump are calculated from the water pump power consumption and water pump efficiency curve and the current water pump flow rate; the theoretical power consumption Wtx of the cooling tower is calculated from the current flow rate and the flow-power formula; the theoretical power consumption Wmx of the terminal equipment is calculated from the current cooling capacity and the rated operating parameters of the terminal equipment.

[0065] The actual cooling capacity Qz is obtained from the cooling capacity and heat meter, while the power consumption Wj of the chiller unit, the power consumption Wd of the chiller pump, the power consumption Wq of the cooling pump, the power consumption Wt of the cooling tower, and the power consumption Wm of the terminal equipment are obtained from the electricity meters of each device.

[0066] Step 4: Determine if the system deviation is >0.1. If yes, proceed to Step 6; otherwise, proceed to Step 5.

[0067] Step 5: Determine whether the system's control objectives meet the requirements. If yes, output that the system is operating healthily; otherwise, proceed to Step 6.

[0068] Step 6: Calculate the impact rate Cy of each device in the system;

[0069] Among them, equipment impact rate = equipment energy efficiency deviation * power consumption ratio;

[0070] Among them, the equipment energy efficiency deviation = (theoretical energy efficiency value - actual energy efficiency value) / theoretical energy efficiency value. Different parameters are selected as the theoretical energy efficiency value and the actual energy efficiency value according to different equipment; power consumption ratio = 3.517 * equipment power consumption / system cooling capacity;

[0071] Among them, the theoretical energy efficiency value of the chiller is COPx = Qzx / ΣWjx, and the actual energy efficiency value of the chiller is COP = Qz / ΣWj;

[0072] Among them, the theoretical value of cooling water pump delivery efficiency (theoretical energy efficiency value) Pqx=Qzx / ΣWqx, and the actual value of cooling water pump delivery efficiency (actual energy efficiency value) =Qz / ΣWq;

[0073] Among them, the theoretical value of chilled water pump delivery efficiency (theoretical energy efficiency value) Pdx=Qzx / ΣWdx, and the actual value of cooling water pump delivery efficiency (actual energy efficiency value) =Qz / ΣWd;

[0074] Among them, the theoretical value of the cooling tower heat exchange efficiency (theoretical energy efficiency value) Ptx=Qzx / ΣWtx, and the actual value of the cooling water pump delivery efficiency (actual energy efficiency value) =Qz / ΣWt;

[0075] Among them, the theoretical value of heat exchange efficiency of terminal equipment (theoretical value of energy efficiency) Pmx=Qzx / ΣWmx, and the actual value of cooling water pump delivery efficiency (actual value of energy efficiency)=Qz / ΣWm;

[0076] Step 7: Select the equipment with the highest impact rate to investigate related factors, and at the same time determine whether the equipment has a failure risk and analyze the failure trend;

[0077] Figure 3 This is a diagram illustrating the factors affecting the generator unit. Figure 4 This is a diagram illustrating the factors affecting the refrigeration pump. Figure 5 This is a diagram illustrating the factors affecting the cooling pump. Figure 6 This is a diagram illustrating the factors affecting cooling towers. Figure 7 This is a diagram illustrating the factors related to the terminal device.

[0078] Among the factors investigated by the unit, the related factors include condensing temperature, main unit load rate, number of operating units, chilled water outlet temperature, condenser terminal temperature difference, and evaporator terminal temperature difference.

[0079] The parameters to be checked for chilled water pumps include chilled water supply and return pressure difference, chilled water supply and return temperature difference, and hydraulic imbalance rate.

[0080] The parameters to be checked for the cooling pump include the temperature difference between the cooling supply and return water, and the pressure difference between the cooling supply and return water.

[0081] The parameters to be checked for cooling towers include approximation degree and number of operating units;

[0082] The parameters to be checked for terminal equipment include supply air temperature, return air temperature, and equipment supply and return water temperature;

[0083] Step 8: Output the investigation results and optimization strategies;

[0084] Step 9: After optimization, restart the system's sub-health diagnosis process.

[0085] Let's illustrate with an example.

[0086] The theoretical cooling capacity Qzx = 500kW; according to theoretical calculations, the theoretical power consumption of the chiller Wjx = 75kW; the theoretical power consumption of the refrigeration pump Wdx = 8kW; the theoretical power consumption of the cooling pump Wq = 10kW; the theoretical power consumption of the cooling tower Wtx = 7kW; and the theoretical power consumption of the terminal equipment Wmx = 30kW.

[0087] Example 1: When the actual cooling capacity of the system is Qz = 500kW; the power consumption of the chiller is Wj = 80kW, the power consumption of the chiller pump is Wd = 7kW, the power consumption of the cooling pump is Wq = 5kW, the power consumption of the cooling tower is Wt = 4kW, and the power consumption of the terminal equipment is Wm = 29kW:

[0088] The theoretical energy efficiency value of the system is EERx = 500 / (75+8+10+7+30) = 3.846;

[0089] The actual energy efficiency ratio of the system is EER = 500 / (80+7+5+4+29) = 4.000;

[0090] The system energy efficiency deviation ΔEER = (3.846 - 4) / 3.846 = -0.040 < 0.1;

[0091] Determine if the system water supply temperature meets the requirements. If it does, output: System is operating healthily; if not, calculate the impact rate of each device.

[0092] Unit energy efficiency deviation = (500 / 75-495 / 80) / 500 / 75 = 0.077; power consumption ratio = 3.517*80 / 495 = 0.568;

[0093] Unit impact rate = 0.065 * 0.5672 = 0.012;

[0094] Similarly, we can obtain the impact rate of the chilled pump = -0.002, the impact rate of the cooling pump = -0.005, the impact rate of the cooling tower = -0.003, and the impact rate of the terminal equipment = -0.001;

[0095] The unit has the greatest impact rate, so the related factors of the unit should be investigated first. For example, if the investigation result is that the unit load rate is too low, causing the water supply temperature to fail to meet the requirements, then the investigation results and unit load rate optimization strategy will be output. After the system completes the optimization strategy, the sub-health diagnosis process of the system will be carried out again.

[0096] Example 2, when the actual cooling capacity of the system is Qz = 505kW; the power consumption of the chiller is Wj = 90kW, the power consumption of the chiller pump is Wd = 10kW, the power consumption of the cooling pump is Wq = 12kW, the power consumption of the cooling tower is Wt = 8kW, and the power consumption of the terminal equipment is Wm = 35kW:

[0097] The calculation is the same as in Example 1, the theoretical energy efficiency value of the system is EERx = 3.846;

[0098] The actual energy efficiency of the system is EER = 3.258;

[0099] The system energy efficiency deviation ΔEER = 0.153 > 0.1;

[0100] Unit impact rate = 0.034, chilled water pump impact rate = 0.005, cooling pump impact rate = 0.005, cooling tower impact rate = 0.002, terminal equipment impact rate = 0.011;

[0101] The unit has the greatest impact rate, so the related factors of the unit should be investigated first. For example, if the investigation results show that the unit's high condensing temperature leads to a high deviation in system energy efficiency and there is a risk of high pressure protection, then the investigation results and condensing temperature optimization strategy will be output. After the system completes the optimization strategy, the sub-health diagnosis process of the system will be carried out again.

[0102] Figure 8 This is a schematic diagram of the sub-health diagnostic device for a refrigeration and heating system provided in an embodiment of this application. Figure 8 As shown, the sub-health diagnostic device for the above-mentioned refrigeration and heating system includes:

[0103] The first determining module 802 is used to determine the energy efficiency deviation of the refrigeration and heating system based on the theoretical energy efficiency value and the actual energy efficiency value of the refrigeration and heating system.

[0104] The second determining module 804 is used to determine the equipment impact rate of each device in the refrigeration and heating system when the energy efficiency deviation does not meet the predetermined conditions.

[0105] The third determination module 806 is used to determine the target device from among the various devices based on the device impact rate;

[0106] The detection module 808 is used to detect the related factors of the target device in order to determine whether the target device is faulty.

[0107] The aforementioned cooling and heating system can consist of multiple devices. For example, a cooling and heating system may include multiple sets of cooling and heating equipment, which together constitute the system. Alternatively, a cooling and heating system may include multiple devices that cooperate with each other. The combination of multiple devices constitutes a cooling and heating system. For example, a cooling and heating system may include chiller units, chilled water pumps, cooling pumps, cooling towers, and terminal equipment. These multiple devices cooperate with each other to form a cooling and heating system that provides cooling and heating services.

[0108] In this embodiment, the theoretical energy efficiency value of the aforementioned cooling and heating system is the estimated energy efficiency, while the actual energy efficiency value is the actual energy efficiency produced by the cooling and heating system. The energy efficiency deviation is calculated based on both values. The energy efficiency deviation represents the health status of the cooling and heating system; the higher the deviation, the worse the health status. If the energy efficiency deviation is greater than a first value, the system can be considered to be in a sub-healthy state. If the energy efficiency deviation is greater than a second value, the system can be considered to have malfunctioned and can no longer provide cooling and heating services. The second value is a value greater than the first value.

[0109] In this embodiment, the predetermined conditions described above can be set, such as the first value and the second value mentioned above. The first value and the second value can be fixed values, empirical values, or values ​​that change according to conditions. For example, different values ​​can be set according to time periods. In a cooling environment, the first value and the second value can be reduced during the day due to the higher temperature, thereby improving diagnostic sensitivity. At night, when the temperature decreases, the first value and the second value can be increased. The opposite is true in a heating environment.

[0110] Furthermore, the aforementioned predetermined conditions can also involve multiple judgments. For example, the first judgment might assess the relationship between the energy efficiency deviation and a preset value. If the deviation is greater than the preset value, the predetermined conditions are considered not met. If it is less than the preset value, a second judgment can be performed. If the second judgment passes, the predetermined conditions are considered met; if it fails, the predetermined conditions are considered not met. The second judgment could assess whether the target controlled by the cooling and heating system is functioning normally. For example, if the purpose of the cooling and heating system is air cooling, the air temperature would be checked to ensure it is normal; if the purpose is water cooling, the water temperature would be checked to ensure it is normal.

[0111] The aforementioned equipment impact rate represents the magnitude of the impact on energy efficiency deviation when it fails to meet predetermined conditions. A higher impact rate indicates a greater influence on energy efficiency deviation and is more likely to be a factor contributing to system suboptimal performance. Therefore, target equipment is identified based on the equipment impact rate, and related factors for that target equipment are then investigated.

[0112] The aforementioned related factors can be parameters of the target equipment. For example, if the target equipment is a chilled water pump, the related factors can be parameters of the chilled water supply and return pressure difference, chilled water supply and return temperature difference, hydraulic imbalance rate, etc.

[0113] By detecting the factors related to the target device, it can be determined whether the target device is abnormal.

[0114] In this embodiment, multiple target devices can be selected and detected sequentially according to their influence rate from largest to smallest.

[0115] The solution provided in this application determines the energy efficiency deviation of the refrigeration and heating system based on the theoretical and actual energy efficiency values. When the energy efficiency deviation does not meet predetermined conditions, the device influence rate of each device in the refrigeration and heating system is determined. Based on the device influence rate, a target device is identified from the devices. The related factors of the target device are detected to determine whether the target device is faulty. This solution can determine the most critical target device based on the device influence rate of each device in the refrigeration and heating system when the energy efficiency of the refrigeration and heating system is abnormal, and detect the related factors of the target device to determine whether the target device is faulty, thereby improving the efficiency of diagnosing the refrigeration and heating system.

[0116] As an optional example, the first determining module mentioned above includes: a calculation unit, used to calculate the theoretical energy efficiency value based on the theoretical cooling capacity of the refrigeration and heating system and the theoretical power consumption of each device; calculate the actual energy efficiency value based on the actual cooling capacity of the refrigeration and heating system and the actual power consumption of each device; and determine the ratio of the difference between the theoretical energy efficiency value and the actual energy efficiency value to the theoretical energy efficiency value as the energy efficiency deviation.

[0117] In this embodiment, when determining the energy efficiency deviation of the refrigeration and heating system based on its theoretical and actual energy efficiency values, the theoretical and actual energy efficiency values ​​can be calculated first. The theoretical energy efficiency value can be calculated based on the theoretical cooling capacity of the refrigeration and heating system and the theoretical power consumption of each device. That is, it calculates the relationship between power consumption and cooling capacity under theoretical conditions. The actual energy efficiency value, on the other hand, is the relationship between power consumption and cooling capacity under actual conditions. The theoretical and actual energy efficiency values ​​are calculated using this data. The ratio of the difference between the theoretical and actual energy efficiency values ​​to the theoretical energy efficiency value is then determined as the energy efficiency deviation. This allows calculation of the difference between the relationship between power consumption and cooling capacity under actual conditions and the relationship under theoretical conditions. This difference is the energy efficiency deviation. The larger the energy efficiency deviation, the less healthy the system.

[0118] As an optional example, the various devices include chiller units, refrigeration pumps, cooling pumps, cooling towers, and terminal equipment. The aforementioned calculation unit includes: a first calculation subunit, used to compare the theoretical cooling capacity with the sum of the theoretical power consumption of the chiller units, refrigeration pumps, cooling pumps, cooling towers, and terminal equipment, and the obtained ratio is used as the theoretical energy efficiency value.

[0119] In this embodiment, taking refrigeration as an example, the various devices in the refrigeration and heating system include a chiller unit, a chilled water pump, a cooling pump, a cooling tower, and terminal equipment. The chiller unit is the refrigeration unit, and the chilled water pump, cooling pump, and cooling tower work in conjunction with the chiller unit to perform refrigeration. The terminal equipment can be the control system of the refrigeration and heating system or an air supply / discharge device. When calculating the theoretical energy efficiency value, the sum of the theoretical power consumption of the chiller unit, chilled water pump, cooling pump, cooling tower, and terminal equipment can be calculated. The theoretical cooling capacity of the refrigeration and heating system is then compared with this sum. The resulting ratio is the ratio of cooling capacity to power consumption under theoretical conditions, and is considered the theoretical energy efficiency value.

[0120] As an optional example, the various devices include chiller units, chilled pumps, cooling pumps, cooling towers, and terminal equipment. The aforementioned calculation unit includes: a second calculation subunit, used to compare the actual cooling capacity with the sum of the actual power consumption of the chiller units, chilled pumps, cooling pumps, cooling towers, and terminal equipment, and the obtained ratio is used as the actual energy efficiency value.

[0121] In this embodiment, taking refrigeration as an example, the various devices in the refrigeration and heating system include a chiller unit, a chilled water pump, a cooling pump, a cooling tower, and terminal equipment. The chiller unit is the refrigeration unit, and the chilled water pump, cooling pump, and cooling tower work in conjunction with the chiller unit to perform refrigeration. The terminal equipment can be the control system of the refrigeration and heating system or an air supply / discharge device. When calculating the actual energy efficiency value, the sum of the actual power consumption of the chiller unit, chilled water pump, cooling pump, cooling tower, and terminal equipment can be calculated, and the actual cooling capacity of the refrigeration and heating system can be compared with this sum. The resulting ratio is the ratio of cooling capacity to power consumption under actual conditions, and is considered the actual energy efficiency value.

[0122] As an optional example, the second determining module mentioned above includes: a determining unit, used to obtain the power consumption ratio of each device; and to determine the device influence rate of each device by multiplying the power consumption ratio of each device by the device energy efficiency deviation.

[0123] In this embodiment, when calculating the device impact rate of each device in the refrigeration and heating system, the power consumption ratio of each device can be obtained. Then, the product of the power consumption ratio and the energy efficiency deviation is determined as the device impact rate. Here, the energy efficiency deviation refers to the device's own energy efficiency deviation. The calculation method for the energy efficiency deviation of each device is described below. That is, the product of each device's own energy efficiency deviation and its own power consumption ratio is used only as its own device impact rate.

[0124] As an optional example, the above-mentioned determining unit includes: a determining subunit, used to determine the power consumption ratio of each device as the ratio of the actual power consumption of each device to the actual cooling capacity of the refrigeration and heating system.

[0125] This embodiment provides a method for calculating the power consumption ratio of a device. Specifically, it compares the actual power consumption of the device with the actual cooling capacity of the refrigeration / heating system. The resulting ratio represents the actual power consumption of the device corresponding to each unit of actual cooling capacity of the refrigeration / heating system. The higher the actual power consumption, the higher the power consumption ratio; and the higher the power consumption ratio, the greater the device's impact rate.

[0126] As an optional example, the above detection module includes: a detection unit, used for the following factors when the target equipment is a chiller unit: condensing temperature, main unit load rate, number of operating units, chilled water outlet temperature, condenser terminal temperature difference, and evaporator terminal temperature difference; when the target equipment is a chilled water pump: chilled water supply and return pressure difference, chilled water supply and return temperature difference, and hydraulic imbalance rate; when the target equipment is a cooling pump: cooling water supply and return temperature difference and cooling water supply and return pressure difference; when the target equipment is a cooling tower: proximity degree and number of operating units; and when the target equipment is a terminal device: supply air temperature, return air temperature, and equipment supply and return water temperature.

[0127] In this embodiment, after the target device is determined, the correlation factors to be detected vary depending on the target device. For example, when the target device is a chiller unit, the correlation factors include condensing temperature, main unit load rate, number of operating units, chilled water outlet temperature, condenser terminal temperature difference, and evaporator terminal temperature difference; when the target device is a chilled water pump, the correlation factors include chilled water supply and return pressure difference, chilled water supply and return temperature difference, and hydraulic imbalance rate; when the target device is a cooling pump, the correlation factors include cooling water supply and return temperature difference and cooling water supply and return pressure difference; when the target device is a cooling tower, the correlation factors include proximity and number of operating units; and when the target device is a terminal device, the correlation factors include supply air temperature, return air temperature, and equipment supply and return water temperature.

[0128] For other examples of this embodiment, please refer to the examples above, which will not be repeated here.

[0129] like Figure 9 As shown in the figure, this application provides an electronic device, including a processor 111, a communication interface 112, a memory 113, and a communication bus 114, wherein the processor 111, the communication interface 112, and the memory 113 communicate with each other through the communication bus 114.

[0130] Memory 113 is used to store computer programs;

[0131] In one embodiment of this application, the processor 111, when executing the program stored in the memory 113, implements the sub-health diagnosis method for the refrigeration and heating system provided in any of the foregoing method embodiments.

[0132] This application also provides a computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the sub-health diagnosis method for a refrigeration and heating system as provided in any of the foregoing method embodiments.

[0133] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs.

[0134] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented using software plus a general-purpose hardware platform, or of course, using hardware. Based on this understanding, the above technical solutions, in essence or the parts that contribute to the related technology, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.

[0135] It should be understood that the terminology used herein is for the purpose of describing particular exemplary embodiments only and is not intended to be limiting. Unless the context clearly indicates otherwise, the singular forms “a,” “an,” and “the above” as used herein may also mean including the plural forms. The terms “comprising,” “including,” “containing,” and “having” are inclusive and therefore indicate the presence of the stated features, steps, operations, elements, and / or components, but do not exclude the presence or addition of one or more other features, steps, operations, elements, components, and / or combinations thereof. The method steps, processes, and operations described herein are not construed as requiring them to be performed in a specific order described or illustrated unless the order of performance is explicitly indicated. It should also be understood that additional or alternative steps may be used.

[0136] The above description is merely a specific embodiment of the present invention, enabling those skilled in the art to understand or implement the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the present invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features claimed herein.

Claims

1. A method for diagnosing sub-health conditions in a refrigeration and heating system, characterized in that, include: The energy efficiency deviation of the refrigeration and heating system is determined based on the theoretical energy efficiency value and the actual energy efficiency value of the refrigeration and heating system. When the energy efficiency deviation does not meet the predetermined conditions, the equipment impact rate of each device in the refrigeration and heating system is determined; The target device is determined from the various devices based on the device impact rate. The relevant factors of the target device are detected to determine whether the target device is malfunctioning; The determination of the energy efficiency deviation of the refrigeration and heating system based on the theoretical energy efficiency value and the actual energy efficiency value of the refrigeration and heating system includes: calculating the theoretical energy efficiency value based on the theoretical cooling capacity of the refrigeration and heating system and the theoretical power consumption of each device; calculating the actual energy efficiency value based on the actual cooling capacity of the refrigeration and heating system and the actual power consumption of each device; and determining the energy efficiency deviation as the ratio of the difference between the theoretical energy efficiency value and the actual energy efficiency value to the theoretical energy efficiency value. When the energy efficiency deviation does not meet the predetermined conditions, determining the equipment impact rate of each device in the refrigeration and heating system includes: obtaining the power consumption ratio of each device; and determining the equipment impact rate of each device by multiplying the power consumption ratio of each device by the equipment energy efficiency deviation. The process of obtaining the power consumption ratio of each device includes: determining the power consumption ratio of each device as the ratio of the actual power consumption of each device to the actual cooling capacity of the cooling and heating system.

2. The method according to claim 1, characterized in that, The various devices include chiller units, refrigeration pumps, cooling pumps, cooling towers, and terminal equipment. The theoretical energy efficiency value is calculated based on the theoretical cooling capacity of the refrigeration and heating system and the theoretical power consumption of each device, including: The theoretical cooling capacity is compared with the sum of the theoretical power consumption of the chiller unit, refrigeration pump, cooling pump, cooling tower and terminal equipment, and the resulting ratio is taken as the theoretical energy efficiency value.

3. The method according to claim 1, characterized in that, The various devices include chiller units, refrigeration pumps, cooling pumps, cooling towers, and terminal equipment. The actual energy efficiency value is calculated based on the actual cooling capacity of the refrigeration and heating system and the actual power consumption of each device, including: The actual energy efficiency value is obtained by comparing the actual cooling capacity with the sum of the actual power consumption of the chiller unit, refrigeration pump, cooling pump, cooling tower and terminal equipment.

4. The method according to claim 1, characterized in that, The step of detecting the correlation factors of the target device to determine whether the target device is faulty includes: When the target equipment is a chiller unit, the related factors include condensing temperature, main unit load rate, number of operating units, chilled water outlet temperature, condenser terminal temperature difference, and evaporator terminal temperature difference; When the target equipment is a chilled water pump, the related factors include chilled water supply and return pressure difference, chilled water supply and return temperature difference, and hydraulic imbalance rate. When the target device is a cooling pump, the related factors include the temperature difference between the cooling supply and return water and the pressure difference between the cooling supply and return water. When the target device is a cooling tower, the correlation factors include approximation degree and number of operating units; When the target device is a terminal device, the related factors include supply air temperature, return air temperature, and equipment supply and return water temperature.

5. A sub-health diagnostic device for a refrigeration and heating system, characterized in that, include: The first determining module is used to determine the energy efficiency deviation of the refrigeration and heating system based on the theoretical energy efficiency value and the actual energy efficiency value of the refrigeration and heating system. The second determining module is used to determine the equipment impact rate of each device in the refrigeration and heating system when the energy efficiency deviation does not meet the predetermined conditions. The third determining module is used to determine the target device from the various devices based on the device influence rate; The detection module is used to detect the related factors of the target device in order to determine whether the target device is faulty; The determination of the energy efficiency deviation of the refrigeration and heating system based on the theoretical energy efficiency value and the actual energy efficiency value of the refrigeration and heating system includes: calculating the theoretical energy efficiency value based on the theoretical cooling capacity of the refrigeration and heating system and the theoretical power consumption of each device; calculating the actual energy efficiency value based on the actual cooling capacity of the refrigeration and heating system and the actual power consumption of each device; and determining the energy efficiency deviation as the ratio of the difference between the theoretical energy efficiency value and the actual energy efficiency value to the theoretical energy efficiency value. When the energy efficiency deviation does not meet the predetermined conditions, determining the equipment impact rate of each device in the refrigeration and heating system includes: obtaining the power consumption ratio of each device; and determining the equipment impact rate of each device by multiplying the power consumption ratio of each device by the equipment energy efficiency deviation. The process of obtaining the power consumption ratio of each device includes: determining the power consumption ratio of each device as the ratio of the actual power consumption of each device to the actual cooling capacity of the cooling and heating system.

6. An electronic device, characterized in that, include: At least one communication interface; At least one bus connected to the at least one communication interface; At least one processor connected to the at least one bus; At least one memory connected to the at least one bus, wherein the memory stores a computer program, and the processor executes the computer program to implement the sub-health diagnosis method for the refrigeration and heating system according to any one of claims 1 to 4.

7. A computer-readable storage medium storing computer-executable instructions for performing the sub-health diagnosis method for a refrigeration and heating system according to any one of claims 1 to 4 of this application.

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