Sub-health diagnosis method and device for refrigerating and heating system and electronic equipment

Abstract

The invention relates to a sub-health diagnosis method and device of a refrigerating and heating system and electronic equipment. The method comprises the steps that the energy efficiency deviation degree of the refrigerating and heating system is determined according to the theoretical energy efficiency value and the actual energy efficiency value of the refrigerating and heating system; when the energy efficiency deviation degree does not meet the preset condition, the equipment influence rate of all equipment in the refrigerating and heating system is determined; determining a target device from the devices according to the device influence rate; and detecting the associated factors of the target equipment to determine whether the target equipment has a fault or not. The technical problem that the diagnosis efficiency of the refrigerating and heating system is low is solved.

Description

Technical Field

[0001] The present application relates to the field of diagnosis of refrigeration and heating systems, and in particular to a sub-health diagnosis method, device and electronic equipment for refrigeration and heating systems. Background Art

[0002] In the prior art, the cooling and heating system includes multiple devices, and the combined operation of the multiple devices realizes the cooling and heating functions. However, if the cooling and heating system is in a sub-healthy state, that is, it can operate, but the operation effect is not good, it is impossible to effectively determine which device has caused the abnormality and caused the hardness of the cooling and heating system. The usual practice is for engineers to conduct regular maintenance inspections or make empirical judgments after a fault occurs. However, this method is difficult to accurately reflect the operating status of the system in real time, and the diagnostic efficiency of the system is low. Summary of the invention

[0003] The present application provides a sub-health diagnosis method, device and electronic equipment for a refrigeration and heating system to solve the technical problem of low diagnosis efficiency of the refrigeration and heating system.

[0004] In a first aspect, the present 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 a theoretical energy efficiency value and an actual energy efficiency value of the refrigeration and heating system; when the energy efficiency deviation does not meet a predetermined condition, determining an equipment impact rate of each device in the refrigeration and heating system; determining a target device from each device based on the equipment impact rate; and detecting associated factors of the target device to determine whether the target device is faulty.

[0005] In the second aspect, the present application provides a sub-health diagnosis device for a refrigeration and heating system, including: a first determination module, used to 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; a second determination module, used to determine the equipment impact rate of each device in the above-mentioned refrigeration and heating system when the above-mentioned energy efficiency deviation does not meet the predetermined conditions; a third determination module, used to determine the target device from the above-mentioned devices based on the above-mentioned equipment impact rate; a detection module, used to detect the associated factors of the above-mentioned target device to determine whether the above-mentioned target device is faulty.

[0006] As an optional example, the first determination module 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 of the above-mentioned equipment; 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 above-mentioned equipment; and determine 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.

[0007] As an optional example, the above-mentioned equipment includes a refrigeration unit, a freezing pump, a cooling pump, a cooling tower and a terminal device, and the above-mentioned calculation unit includes: a first calculation subunit, used to compare the above-mentioned theoretical refrigeration capacity with the sum of the theoretical power consumption of the above-mentioned refrigeration unit, the freezing pump, the cooling pump, the cooling tower and the terminal device, and the obtained ratio is used as the above-mentioned theoretical energy efficiency value.

[0008] As an optional example, the above-mentioned equipment includes a refrigeration unit, a freezing pump, a cooling pump, a cooling tower and a terminal device, and the above-mentioned calculation unit includes: a second calculation subunit, used to compare the above-mentioned actual cooling capacity with the sum of the actual power consumption of the above-mentioned refrigeration unit, the freezing pump, the cooling pump, the cooling tower and the terminal device, and the obtained ratio is used as the above-mentioned actual energy efficiency value.

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

[0010] As an optional example, the determination unit includes: a determination subunit, configured to determine a ratio of actual power consumption of each of the devices to an actual cooling capacity of the cooling and heating system as the power consumption ratio of each of the devices.

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

[0012] In a third aspect, the present 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 any one of the above-mentioned sub-health diagnosis methods for cooling and heating systems when executing the computer program.

[0013] In a fourth aspect, the present application further provides a computer storage medium storing computer executable instructions, wherein the computer executable instructions are used to execute the sub-health diagnosis method for a refrigeration and heating system according to any one of the above items of the present application.

[0014] The above-mentioned technical scheme provided by the embodiment of the present application has the following advantages over the prior art: the scheme provided by the embodiment of the present application determines the energy efficiency deviation of the above-mentioned cooling and heating system according to the theoretical energy efficiency value and the actual energy efficiency value of the above-mentioned cooling and heating system; when the above-mentioned energy efficiency deviation does not meet the predetermined conditions, determines the equipment impact rate of each device in the above-mentioned cooling and heating system; determines the target device from the above-mentioned devices according to the above-mentioned equipment impact rate; detects the associated factors of the above-mentioned target device to determine whether the above-mentioned target device is faulty. When the energy efficiency of the cooling and heating system is abnormal, the most critical target device can be determined according to the equipment impact rate of each device in the cooling and heating system, and the associated factors of the target device can be detected to determine whether the target device is faulty, thereby improving the efficiency of diagnosing the cooling and heating system. BRIEF DESCRIPTION OF THE DRAWINGS

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

[0016] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0017] One or more embodiments are exemplarily described by pictures in the corresponding drawings, and these exemplified descriptions do not constitute limitations on the embodiments. Elements with the same reference numerals in the drawings represent similar elements, and unless otherwise stated, the figures in the drawings do not constitute proportional limitations.

[0018] Figure 1 A flowchart of a sub-health diagnosis method for a cooling and heating system provided in an embodiment of the present application;

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

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

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

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

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

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

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

[0026] Fig. 9 A schematic diagram of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0027] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

[0028] The disclosure below provides many different embodiments or examples to implement different structures of the present invention. In order to simplify the disclosure of the present invention, the parts and settings of specific examples are described below. Of course, they are only examples, and the purpose is not to limit the present invention. In addition, the present invention can repeat reference numbers and / or letters in different examples. This repetition is for the purpose of simplification and clarity, and does not itself indicate the relationship between the various embodiments and / or settings discussed.

[0029] In order to solve the technical problem of low diagnostic efficiency of cooling and heating systems in the prior art, the present application provides a sub-health diagnosis method for cooling and heating systems, which can achieve the effect of improving the diagnostic efficiency of cooling and heating systems.

[0030] Figure 1 This is a flow chart of a sub-health diagnosis method for a cooling and heating system provided in an embodiment of the present application. Figure 1 As shown, the sub-health diagnosis method of the above-mentioned cooling and heating system includes:

[0031] S102, determining the energy efficiency deviation of the cooling and heating system according to the theoretical energy efficiency value and the actual energy efficiency value of the cooling and heating system;

[0032] S104, when the energy efficiency deviation does not meet a predetermined condition, determining the equipment impact rate of each equipment in the cooling and heating system;

[0033] S106, determining a target device from the above-mentioned devices according to the above-mentioned device impact rate;

[0034] S108: Detect the associated factors of the target device to determine whether the target device is faulty.

[0035] The above-mentioned cooling and heating system can be composed of multiple devices. For example, the cooling and heating system includes multiple sets of cooling and heating equipment, and multiple sets of cooling and heating equipment constitute the cooling and heating system. Alternatively, the cooling and heating system includes multiple devices that cooperate with each other. The combination of multiple devices constitutes the cooling and heating system. For example, the cooling and heating system includes a refrigeration unit, a freezing pump, a cooling pump, a cooling tower and a terminal device. Multiple devices cooperate with each other and are combined into a cooling and heating system to provide cooling and heating services.

[0036] In this embodiment, the theoretical energy efficiency value of the above-mentioned cooling and heating system is the estimated energy efficiency of the cooling and heating system, and the actual energy efficiency value is the energy efficiency actually generated by the cooling and heating system. The energy efficiency deviation is calculated based on the two. The energy efficiency deviation represents the health of the cooling and heating system. The higher the energy efficiency deviation, the worse the health. If the energy efficiency deviation is greater than the first value, it can be considered that the system is in a sub-healthy state. If the energy efficiency deviation is greater than the second value, it can be considered that the system has failed 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 above-mentioned predetermined conditions can be set, such as the above-mentioned first value and second value. The first value and the second value can be fixed values, can be empirical values, or can be 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 high temperature, thereby improving the diagnostic sensitivity. At night, when the temperature drops, the first value and the second value can be increased. In a heating environment, the opposite is true.

[0038] In addition, the above-mentioned predetermined conditions can also be multiple judgments. For example, the relationship between the energy efficiency deviation and the preset value is first judged. If it is greater than the preset value, it is considered that the predetermined condition is not met. If it is less than the preset value, a second judgment can be performed. If the second judgment passes, it can be considered that the predetermined condition is met. If the second judgment fails, it can be considered that the predetermined condition is not met. The second judgment can be to determine whether the target controlled by the cooling and heating system is normal. If the purpose of the cooling and heating system is air cooling, check whether the air temperature is normal. If the purpose of the cooling and heating system is water temperature cooling, check whether the water temperature is normal.

[0039] The above-mentioned equipment impact rate is the magnitude of the impact on the energy efficiency deviation when the energy efficiency deviation does not meet the predetermined conditions. The greater the impact rate, the greater the impact on the energy efficiency deviation, and the more likely it is a factor causing sub-health of the system. Therefore, the target equipment is determined according to the equipment impact rate, and the associated factors of the target equipment are tested.

[0040] The above-mentioned associated factors may be associated parameters of the target device. For example, if the target device is a refrigeration pump, the associated factors may be parameters of the refrigeration pump, such as the refrigeration supply and return water pressure difference, the refrigeration supply and return water temperature difference, the hydraulic imbalance rate, etc.

[0041] By detecting the associated factors of the target device, it is determined whether the target device is abnormal.

[0042] In this embodiment, multiple target devices may be selected and detected in sequence according to the device impact rate from large to small.

[0043] The solution provided in the embodiment of the present application determines the energy efficiency deviation of the above-mentioned cooling and heating system based on the theoretical energy efficiency value and the actual energy efficiency value of the above-mentioned cooling and heating system; when the above-mentioned energy efficiency deviation does not meet the predetermined conditions, determines the equipment impact rate of each device in the above-mentioned cooling and heating system; determines the target device from the above-mentioned devices based on the above-mentioned equipment impact rate; detects the associated factors of the above-mentioned target device to determine whether the above-mentioned target device is faulty. When the energy efficiency of the cooling and heating system is abnormal, the most critical target device can be determined according to the equipment impact rate of each device in the cooling and heating system, and the associated factors of the target device can be detected to determine whether the target device is faulty, thereby improving the efficiency of diagnosing the cooling 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 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 each of the above-mentioned equipment; 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 above-mentioned refrigeration and heating system according to the theoretical energy efficiency value and the actual energy efficiency value of the above-mentioned refrigeration and heating system, the theoretical energy efficiency value and the actual energy efficiency value 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 of the above-mentioned equipment. That is, the relationship between power consumption and cooling capacity under theoretical conditions is calculated. The actual energy efficiency value is the relationship between power consumption and cooling capacity under actual conditions. The theoretical energy efficiency value and the actual energy efficiency value are calculated through the data, and then the difference between the above-mentioned theoretical energy efficiency value and the above-mentioned actual energy efficiency value and the ratio of the above-mentioned theoretical energy efficiency value are determined as the above-mentioned energy efficiency deviation, so that the difference between the relationship between power consumption and cooling capacity under actual conditions and the relationship between power consumption and cooling capacity under theoretical conditions can be calculated. The difference is the above-mentioned energy efficiency deviation. The larger the energy efficiency deviation, the more unhealthy the system.

[0046] As an optional example, the above-mentioned equipment includes a refrigeration unit, a freezing pump, a cooling pump, a cooling tower and a terminal device. The above-mentioned theoretical energy efficiency value is calculated according to the theoretical cooling capacity of the above-mentioned refrigeration and heating system and the theoretical power consumption of the above-mentioned equipment, including: comparing the above-mentioned theoretical cooling capacity with the sum of the theoretical power consumption of the above-mentioned refrigeration unit, the freezing pump, the cooling pump, the cooling tower and the terminal device, and the ratio obtained is used as the above-mentioned 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 freezing pump, a cooling pump, a cooling tower and a terminal device, wherein the chiller unit is a refrigeration unit, and the freezing pump, the cooling pump and the cooling tower cooperate with the chiller unit to perform refrigeration. The terminal device can be a control system of the refrigeration and heating system, or an air outlet and air supply device. When calculating the theoretical energy efficiency value, the sum of the theoretical power consumption of the chiller unit, the freezing pump, the cooling pump, the cooling tower and the terminal device can be calculated, and the theoretical cooling capacity of the refrigeration and heating system can be compared with the sum. The ratio obtained is the ratio of cooling capacity to power consumption under theoretical conditions, which is regarded as the theoretical energy efficiency value.

[0048] As an optional example, the above-mentioned equipment includes a refrigeration unit, a freezing pump, a cooling pump, a cooling tower and a terminal device. The actual energy efficiency value is calculated based on the actual cooling capacity of the above-mentioned refrigeration and heating system and the actual power consumption of the above-mentioned equipment, including: comparing the above-mentioned actual cooling capacity with the sum of the actual power consumption of the above-mentioned refrigeration unit, the freezing pump, the cooling pump, the cooling tower and the terminal device, and the ratio obtained is used as the above-mentioned 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 freezing pump, a cooling pump, a cooling tower and a terminal device, wherein the chiller unit is a refrigeration unit, and the freezing pump, the cooling pump and the cooling tower cooperate with the chiller unit to perform refrigeration. The terminal device can be a control system of the refrigeration and heating system, or an air outlet and air supply device. When calculating the actual energy efficiency value, the sum of the actual power consumption of the chiller unit, the freezing pump, the cooling pump, the cooling tower and the terminal device can be calculated, and the actual cooling capacity of the refrigeration and heating system can be compared with the sum. The ratio obtained is the ratio of cooling capacity to power consumption in actual circumstances, which is regarded as 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 cooling 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 equipment impact rate of each device in the cooling and heating system, the power consumption ratio of each device can be obtained, and then the product of the power consumption ratio and the equipment energy efficiency deviation is determined as the equipment impact rate. The equipment energy efficiency deviation here is the energy efficiency deviation of the device itself, and the calculation method of the equipment energy efficiency deviation of each device is recorded below. In other words, the equipment energy efficiency deviation of each device itself is multiplied by its own power consumption ratio, and the result obtained is only used as its own equipment impact rate.

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

[0053] This embodiment provides a method for calculating the power consumption ratio of a device, that is, comparing the actual power consumption of the device with the actual cooling capacity of the cooling and heating system, and the obtained ratio represents the actual power consumption of the device corresponding to each unit of the actual cooling capacity of the cooling and heating system. The greater the actual power consumption, the greater the power consumption ratio, and the greater the power consumption ratio, the greater the device impact rate.

[0054] As an optional example, the above-mentioned detection of the associated factors of the above-mentioned target device to determine whether the above-mentioned target device is faulty includes: when the above-mentioned target device is a refrigeration unit, the above-mentioned associated factors include condensing temperature, main unit load rate, number of operating units, chilled water outlet temperature, condenser end difference and evaporator end difference; when the above-mentioned target device is a refrigeration pump, the above-mentioned associated factors include chilled supply and return water pressure difference, chilled supply and return water temperature difference, and hydraulic imbalance rate; when the above-mentioned target device is a cooling pump, the above-mentioned associated factors include cooling supply and return water temperature difference and cooling supply and return water pressure difference; when the above-mentioned target device is a cooling tower, the above-mentioned associated factors include proximity and number of operating units; when the above-mentioned target device is a terminal device, the above-mentioned associated 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, when the associated factors of the target device are detected, the associated factors to be detected are different according to the different target devices. For example, when the target device is a chiller unit, the associated factors include condensing temperature, main unit load rate, number of units in operation, chilled water outlet temperature, condenser end difference and evaporator end difference; when the target device is a refrigeration pump, the associated factors include chilled supply and return water pressure difference, chilled supply and return water temperature difference, hydraulic imbalance rate; when the target device is a cooling pump, the associated factors include cooling supply and return water temperature difference, cooling supply and return water pressure difference; when the target device is a cooling tower, the associated factors include approximation and number of units in operation; when the target device is a terminal device, the associated 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 can be determined 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 device with the greatest impact on the sub-health of the system is located according to the device impact rate, and then the related factors are checked, and the troubleshooting results and optimization strategies are output; this method can quickly identify the "bottleneck" equipment in the system, and at the same time, it can analyze the equipment-related factors before the failure occurs to predict the equipment failure trend, reduce the failure rate, and improve the stability and reliability of the system.

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

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

[0059] Step 2: Calibrate system instruments;

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

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

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

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

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

[0065] Among them, the actual cooling capacity Qz is obtained by reading the cooling capacity and heat meter, and the power consumption of the refrigeration unit Wj, the power consumption of the refrigeration pump Wd, the power consumption of the cooling pump Wq, the power consumption of the cooling tower Wt, and the power consumption of the terminal equipment Wm are obtained by reading the electric meters of each device;

[0066] Step 4: Check if the system deviation is > 0.1? If yes, go to step 6; otherwise, go to step 5;

[0067] Step 5: Determine whether the control target of the system meets the requirements. If yes, output that the system is running healthily. Otherwise, go 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, equipment energy efficiency deviation = (energy efficiency theoretical value - energy efficiency actual value) / energy efficiency theoretical value. Different parameters are selected as energy efficiency theoretical value and energy efficiency actual value according to different equipment. Power consumption ratio = 3.517 * equipment power consumption / system cooling capacity;

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

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

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

[0074] Among them, the theoretical value of cooling tower heat exchange efficiency (theoretical value of energy efficiency) Ptx = Qzx / ΣWtx, the actual value of cooling water pump delivery efficiency (actual value of energy efficiency) = 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 device with the highest device impact rate to check the associated factors, determine whether the device has a failure risk, and analyze the failure trend;

[0077] Figure 3 It is a schematic diagram of the associated factors of the unit. Figure 4 This is a schematic diagram of the factors associated with the refrigeration pump. Figure 5 This is a schematic diagram of the associated factors of the cooling pump. Figure 6 This is a schematic diagram of the associated factors of the cooling tower. Figure 7 It is a schematic diagram of the associated factors of the terminal equipment.

[0078] Among them, the related factors of unit inspection include condensing temperature, main engine load rate, number of running units, chilled water outlet temperature, condenser terminal difference, and evaporator terminal difference;

[0079] The parameters for checking the refrigeration pump include the refrigeration supply and return water pressure difference, the refrigeration supply and return water temperature difference, and the hydraulic imbalance rate;

[0080] The parameters for checking the cooling pump include the cooling supply and return water temperature difference and the cooling supply and return water pressure difference;

[0081] The parameters for cooling tower inspection include the degree of approach and the number of units in operation;

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

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

[0084] Step 9: Restart the system sub-health diagnosis process after optimization.

[0085] Let's take an example to illustrate.

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

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

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

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

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

[0091] Determine whether the system water supply temperature meets the requirements. If so, output: the system is running 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 get the influence rate of refrigeration pump = -0.002, the influence rate of cooling pump = -0.005, the influence rate of cooling tower = -0.003, and the influence rate of terminal equipment = -0.001;

[0095] The unit has the largest impact rate, so the associated factors of the unit are checked first. For example, if the result of the check is that the unit load rate is too low and the water supply temperature cannot meet the requirements, the check result and the unit load rate optimization strategy are output; after the system completes the optimization strategy, the system sub-health diagnosis process is re-performed.

[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 refrigeration 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 value of system energy efficiency EERx = 3.846;

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

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

[0100] Unit impact rate = 0.034, refrigeration 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 highest impact rate, so the unit's related factors are checked first. For example, if the result of the troubleshooting is that the unit's condensing temperature is high, resulting in a high deviation in system energy efficiency, and there is also a risk of high-voltage protection, the troubleshooting result and condensing temperature optimization strategy are output; after the system completes the optimization strategy, the system sub-health diagnosis process is re-performed.

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

[0103] A first determination module 802 is used to determine the energy efficiency deviation of the cooling and heating system according to the theoretical energy efficiency value and the actual energy efficiency value of the cooling and heating system;

[0104] The second determination module 804 is used to determine the equipment impact rate of each equipment in the cooling and heating system when the energy efficiency deviation does not meet the predetermined condition;

[0105] A third determination module 806 is used to determine a target device from various devices according to the device impact rate;

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

[0107] The above-mentioned cooling and heating system can be composed of multiple devices. For example, the cooling and heating system includes multiple sets of cooling and heating equipment, and multiple sets of cooling and heating equipment constitute the cooling and heating system. Alternatively, the cooling and heating system includes multiple devices that cooperate with each other. The combination of multiple devices constitutes the cooling and heating system. For example, the cooling and heating system includes a refrigeration unit, a freezing pump, a cooling pump, a cooling tower and a terminal device. Multiple devices cooperate with each other and are combined into a cooling and heating system to provide cooling and heating services.

[0108] In this embodiment, the theoretical energy efficiency value of the above-mentioned cooling and heating system is the estimated energy efficiency of the cooling and heating system, and the actual energy efficiency value is the energy efficiency actually generated by the cooling and heating system. The energy efficiency deviation is calculated based on the two. The energy efficiency deviation represents the health of the cooling and heating system. The higher the energy efficiency deviation, the worse the health. If the energy efficiency deviation is greater than the first value, it can be considered that the system is in a sub-healthy state. If the energy efficiency deviation is greater than the second value, it can be considered that the system has failed 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 above-mentioned predetermined conditions can be set, such as the above-mentioned first value and second value. The first value and the second value can be fixed values, can be empirical values, or can be 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 high temperature, thereby improving the diagnostic sensitivity. At night, when the temperature drops, the first value and the second value can be increased. In a heating environment, the opposite is true.

[0110] In addition, the above-mentioned predetermined conditions can also be multiple judgments. For example, the relationship between the energy efficiency deviation and the preset value is first judged. If it is greater than the preset value, it is considered that the predetermined condition is not met. If it is less than the preset value, a second judgment can be performed. If the second judgment passes, it can be considered that the predetermined condition is met. If the second judgment fails, it can be considered that the predetermined condition is not met. The second judgment can be to determine whether the target controlled by the cooling and heating system is normal. If the purpose of the cooling and heating system is air cooling, check whether the air temperature is normal. If the purpose of the cooling and heating system is water temperature cooling, check whether the water temperature is normal.

[0111] The above-mentioned equipment impact rate is the magnitude of the impact on the energy efficiency deviation when the energy efficiency deviation does not meet the predetermined conditions. The greater the impact rate, the greater the impact on the energy efficiency deviation, and the more likely it is a factor causing sub-health of the system. Therefore, the target equipment is determined according to the equipment impact rate, and the associated factors of the target equipment are tested.

[0112] The above-mentioned associated factors may be associated parameters of the target device. For example, if the target device is a refrigeration pump, the associated factors may be parameters of the refrigeration pump, such as the refrigeration supply and return water pressure difference, the refrigeration supply and return water temperature difference, the hydraulic imbalance rate, etc.

[0113] By detecting the associated factors of the target device, it is determined whether the target device is abnormal.

[0114] In this embodiment, multiple target devices may be selected and detected in sequence according to the device impact rate from large to small.

[0115] The solution provided in the embodiment of the present application determines the energy efficiency deviation of the above-mentioned cooling and heating system based on the theoretical energy efficiency value and the actual energy efficiency value of the above-mentioned cooling and heating system; when the above-mentioned energy efficiency deviation does not meet the predetermined conditions, determines the equipment impact rate of each device in the above-mentioned cooling and heating system; determines the target device from the above-mentioned devices based on the above-mentioned equipment impact rate; detects the associated factors of the above-mentioned target device to determine whether the above-mentioned target device is faulty. When the energy efficiency of the cooling and heating system is abnormal, the most critical target device can be determined according to the equipment impact rate of each device in the cooling and heating system, and the associated factors of the target device can be detected to determine whether the target device is faulty, thereby improving the efficiency of diagnosing the cooling and heating system.

[0116] As an optional example, the above-mentioned first determination module 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 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.

[0117] In this embodiment, when determining the energy efficiency deviation of the above-mentioned refrigeration and heating system according to the theoretical energy efficiency value and the actual energy efficiency value of the above-mentioned refrigeration and heating system, the theoretical energy efficiency value and the actual energy efficiency value 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 of the above-mentioned equipment. That is, the relationship between power consumption and cooling capacity under theoretical conditions is calculated. The actual energy efficiency value is the relationship between power consumption and cooling capacity under actual conditions. The theoretical energy efficiency value and the actual energy efficiency value are calculated through the data, and then the difference between the above-mentioned theoretical energy efficiency value and the above-mentioned actual energy efficiency value and the ratio of the above-mentioned theoretical energy efficiency value are determined as the above-mentioned energy efficiency deviation, so that the difference between the relationship between power consumption and cooling capacity under actual conditions and the relationship between power consumption and cooling capacity under theoretical conditions can be calculated. The difference is the above-mentioned energy efficiency deviation. The larger the energy efficiency deviation, the more unhealthy the system.

[0118] As an optional example, the various devices include a refrigeration unit, a freezing pump, a cooling pump, a cooling tower and a terminal device, and the above-mentioned calculation unit includes: a first calculation subunit, used to compare the theoretical refrigeration capacity with the sum of the theoretical power consumption of the refrigeration unit, the freezing pump, the cooling pump, the cooling tower and the terminal device, 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 freezing pump, a cooling pump, a cooling tower and a terminal device, wherein the chiller unit is a refrigeration unit, and the freezing pump, the cooling pump and the cooling tower cooperate with the chiller unit to perform refrigeration. The terminal device can be a control system of the refrigeration and heating system, or an air outlet and air supply device. When calculating the theoretical energy efficiency value, the sum of the theoretical power consumption of the chiller unit, the freezing pump, the cooling pump, the cooling tower and the terminal device can be calculated, and the theoretical cooling capacity of the refrigeration and heating system can be compared with the sum. The ratio obtained is the ratio of cooling capacity to power consumption under theoretical conditions, which is regarded as the theoretical energy efficiency value.

[0120] As an optional example, the various devices include a refrigeration unit, a freezing pump, a cooling pump, a cooling tower and a terminal device, and the above-mentioned calculation unit includes: a second calculation subunit, used to compare the actual cooling capacity with the sum of the actual power consumption of the refrigeration unit, the freezing pump, the cooling pump, the cooling tower and the terminal device, 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 freezing pump, a cooling pump, a cooling tower and a terminal device, wherein the chiller unit is a refrigeration unit, and the freezing pump, the cooling pump and the cooling tower cooperate with the chiller unit to perform refrigeration. The terminal device can be a control system of the refrigeration and heating system, or an air outlet and air supply device. When calculating the actual energy efficiency value, the sum of the actual power consumption of the chiller unit, the freezing pump, the cooling pump, the cooling tower and the terminal device can be calculated, and the actual cooling capacity of the refrigeration and heating system can be compared with the sum. The ratio obtained is the ratio of cooling capacity to power consumption in actual circumstances, which is regarded as the actual energy efficiency value.

[0122] As an optional example, the second determination module includes: a determination unit, configured to obtain a power consumption ratio of each device; and determine a product of the power consumption ratio of each device and a device energy efficiency deviation as a device impact rate of each device.

[0123] In this embodiment, when calculating the equipment impact rate of each device in the cooling and heating system, the power consumption ratio of each device can be obtained, and then the product of the power consumption ratio and the energy efficiency deviation is determined as the equipment impact rate. The energy efficiency deviation here is the equipment energy efficiency deviation of the device itself, and the calculation method of the equipment energy efficiency deviation of each device is recorded below. In other words, the equipment energy efficiency deviation of each device itself is multiplied by its own power consumption ratio, and the result obtained is only used as its own equipment impact rate.

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

[0125] This embodiment provides a method for calculating the power consumption ratio of a device, that is, comparing the actual power consumption of the device with the actual cooling capacity of the cooling and heating system, and the obtained ratio represents the actual power consumption of the device corresponding to each unit of the actual cooling capacity of the cooling and heating system. The greater the actual power consumption, the greater the power consumption ratio, and the greater the power consumption ratio, the greater the device impact rate.

[0126] As an optional example, the above-mentioned detection module includes: a detection unit, which is used when the target device is a refrigeration unit, and the associated factors include condensing temperature, main unit load rate, number of operating units, chilled water outlet temperature, condenser end difference and evaporator end difference; when the target device is a refrigeration pump, the associated factors include chilled supply and return water pressure difference, chilled supply and return water temperature difference, and hydraulic imbalance rate; when the target device is a cooling pump, the associated factors include cooling supply and return water temperature difference, cooling supply and return water pressure difference; when the target device is a cooling tower, the associated factors include approximation and number of operating units; when the target device is a terminal device, the associated factors include supply air temperature, return air temperature, and equipment supply and return water temperature.

[0127] In this embodiment, after the target device is determined, when the associated factors of the target device are detected, the associated factors to be detected are different according to the different target devices. For example, when the target device is a chiller unit, the associated factors include condensing temperature, main unit load rate, number of units in operation, chilled water outlet temperature, condenser end difference and evaporator end difference; when the target device is a refrigeration pump, the associated factors include chilled supply and return water pressure difference, chilled supply and return water temperature difference, hydraulic imbalance rate; when the target device is a cooling pump, the associated factors include cooling supply and return water temperature difference, cooling supply and return water pressure difference; when the target device is a cooling tower, the associated factors include approximation and number of units in operation; when the target device is a terminal device, the associated 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 above examples and will not be described in detail here.

[0129] like Fig. 9 As shown, an embodiment of the present 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, used for storing computer programs;

[0131] In one embodiment of the present application, the processor 111 is used to implement the sub-health diagnosis method for the cooling and heating system provided by any one of the aforementioned method embodiments when executing the program stored in the memory 113.

[0132] An embodiment of the present application also provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, a sub-health diagnosis method for a refrigeration and heating system as provided in any of the aforementioned method embodiments is implemented.

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

[0134] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a general hardware platform, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the relevant technology can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the above methods of each embodiment or some parts of the embodiments.

[0135] It should be understood that the terms used herein are only for the purpose of describing specific example embodiments and are not intended to be limiting. Unless the context clearly indicates otherwise, the singular forms "one", "an" and "above" as used herein may also be meant to include plural forms. The terms "include", "comprise", "contain", and "have" are inclusive, and therefore specify the existence of stated features, steps, operations, elements and / or parts, but do not exclude the existence or addition of one or more other features, steps, operations, elements, parts, and / or combinations thereof. The method steps, processes, and operations described herein are not interpreted as necessarily requiring them to be performed in the specific order described or illustrated, unless the execution order is clearly indicated. It should also be understood that additional or alternative steps may be used.

[0136] The foregoing is merely a specific embodiment of the present invention, which enables those skilled in the art to understand or implement the present invention. Various modifications to these embodiments will be 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 present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but rather to the widest scope consistent with the principles and novel features claimed herein.

Claims

1. A sub-health diagnosis method for a refrigeration and heating system, characterized in that: include: Determining the energy efficiency deviation of the refrigeration and heating system according to 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 a predetermined condition, determining an equipment impact rate of each equipment in the cooling and heating system; Determining a target device from the various devices according to the device impact rate; The associated factors of the target device are detected to determine whether the target device is faulty.

2. The method according to claim 1, characterized in that Determining the energy efficiency deviation of the refrigeration and heating system according to the theoretical energy efficiency value and the actual energy efficiency value of the refrigeration and heating system comprises: Calculating the theoretical energy efficiency value according to the theoretical cooling capacity of the cooling and heating system and the theoretical power consumption of each device; Calculating the actual energy efficiency value according to the actual cooling capacity of the cooling and heating system and the actual power consumption of each device; The energy efficiency deviation is determined as the ratio of the difference between the theoretical energy efficiency value and the actual energy efficiency value to the theoretical energy efficiency value.

3. The method according to claim 2, characterized in that The various devices include a refrigeration unit, a refrigeration pump, a cooling pump, a cooling tower and a terminal device. 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 the various devices, including: The theoretical refrigeration capacity is compared with the sum of the theoretical power consumption of the refrigeration unit, the freezing pump, the cooling pump, the cooling tower and the terminal equipment, and the ratio obtained is used as the theoretical energy efficiency value.

4. The method according to claim 2, characterized in that: The various devices include a refrigeration unit, a refrigeration pump, a cooling pump, a cooling tower and a terminal device. The actual energy efficiency value is calculated according to the actual cooling capacity of the refrigeration and heating system and the actual power consumption of the various devices, including: The actual cooling capacity is compared with the sum of the actual power consumption of the refrigeration unit, the freezing pump, the cooling pump, the cooling tower and the terminal equipment, and the obtained ratio is used as the actual energy efficiency value.

5. The method according to claim 1, characterized in that When the energy efficiency deviation does not meet a predetermined condition, determining the equipment impact rate of each equipment in the cooling and heating system includes: Obtaining the power consumption ratio of each device; The product of the power consumption ratio of each device and the device energy efficiency deviation is determined as the device impact rate of each device.

6. The method according to claim 5, characterized in that The obtaining the power consumption ratio of each device includes: The ratio of the actual power consumption of each of the devices to the actual cooling capacity of the cooling and heating system is determined as the power consumption ratio of each of the devices.

7. The method according to claim 1, characterized in that The detecting the associated factors of the target device to determine whether the target device is faulty includes: When the target device is a refrigeration unit, the associated factors include condensing temperature, host load factor, number of units in operation, chilled water outlet temperature, condenser terminal difference, and evaporator terminal difference; When the target device is a refrigeration pump, the associated factors include the refrigeration supply and return water pressure difference, the refrigeration supply and return water temperature difference, and the hydraulic imbalance rate; When the target device is a cooling pump, the associated factors include the cooling supply and return water temperature difference and the cooling supply and return water pressure difference; When the target equipment is a cooling tower, the associated factors include the degree of approximation and the number of operating units; When the target device is a terminal device, the associated factors include supply air temperature, return air temperature, and device supply and return water temperatures.

8. A sub-health diagnosis device for a refrigeration and heating system, characterized in that: include: A first determination module, configured to determine an energy efficiency deviation of the cooling and heating system according to a theoretical energy efficiency value and an actual energy efficiency value of the cooling and heating system; A second determination module is used to determine the equipment impact rate of each equipment in the cooling and heating system when the energy efficiency deviation does not meet the predetermined condition; A third determination module, configured to determine a target device from the devices according to the device impact rate; The detection module is used to detect the associated factors of the target device to determine whether the target device is faulty.

9. 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 coupled to the at least one bus; At least one memory connected to the at least one bus, wherein a computer program is stored in the memory, and when the processor executes the computer program, the sub-health diagnosis method for the refrigeration and heating system described in any one of claims 1 to 7 is implemented.

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

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