Indoor temperature prediction method and system

Abstract

This application relates to a method and system for indoor temperature prediction, wherein the indoor temperature prediction method includes: obtaining the indoor heat dissipation, exhaust temperature, intake air temperature, and outdoor temperature of a target space; obtaining a target air volume provided to the target space by a heating and ventilation system based on the indoor heat dissipation, exhaust temperature, and intake air temperature; and obtaining a predicted indoor temperature value for the target space based on the outdoor temperature, indoor heat dissipation, and target air volume. This method can improve the prediction accuracy of the indoor temperature of the target space, thereby more accurately identifying the potential high temperature cliff effect in spaces using direct current ventilation cooling, facilitating prompting operators to take appropriate measures in a timely manner and improving safety.

Description

Technical Field

[0001] The present application relates to the field of data processing technology, and in particular to a method and system for predicting indoor temperature. Background Art

[0002] A steep-edge effect refers to a severe, abnormal behavior in a nuclear power plant, where a small deviation in a parameter causes a sudden change from one state to another. In nuclear power plant design, steep-edge effects—significant changes in the plant's safety state caused by minor changes in environmental parameters—necessarily need to be considered. Due to serious nuclear accidents in recent years, analysis of steep-edge effects in nuclear power plants has received extensive attention and is a key technical consideration in nuclear power regulators' reviews. Furthermore, as global temperatures continue to rise, temperatures exceeding design benchmarks are likely to occur, potentially triggering severe accidents and resulting in serious consequences for nuclear power plant safety.

[0003] Currently, nuclear power plant ventilation systems are primarily divided into direct current (DC) and cooling systems. For HVAC systems using DC cooling, since air is supplied directly from the outdoors, changes in the outdoor ambient temperature directly impact the ventilation and cooling effectiveness of the room. Consequently, excessively high outdoor temperatures can cause the indoor temperature of rooms using DC cooling to exceed the tolerance of the equipment, leading to equipment failure and compromising the safe operation of the nuclear power plant.

[0004] Furthermore, since it takes time for heat to be transferred into the room after the outdoor ambient temperature rises, there is a certain lag in the temperature rise inside the room. Therefore, it is necessary to predict the high temperature of the nuclear power plant to avoid the impact of the steep edge effect on the safety of the nuclear power plant. Summary of the Invention

[0005] Based on this, it is necessary to provide an indoor temperature prediction method, system, device, computer equipment, computer-readable storage medium and computer program product to address the above technical problems, so as to realize the prediction of indoor temperature, predict the steep edge effect caused by high temperature, reduce the risks brought by the steep edge effect and improve safety.

[0006] In a first aspect, the present application provides a method for predicting indoor temperature. The method comprises:

[0007] Obtain the indoor heat dissipation, exhaust temperature, intake temperature and outdoor temperature of the target space;

[0008] Obtaining a target air volume provided by a HVAC system to the target space according to the indoor heat dissipation, the exhaust temperature, and the intake air temperature;

[0009] A predicted value of the indoor temperature of the target space is obtained according to the outdoor temperature, the indoor heat dissipation, and the target air volume.

[0010] In one embodiment, the method further comprises:

[0011] Compensating the target air volume according to a preset margin coefficient to obtain a compensated target air volume;

[0012] The obtaining, according to the outdoor temperature, the indoor heat dissipation, and the target air volume, of a predicted indoor temperature of the target space includes:

[0013] A predicted value of the indoor temperature of the target space is obtained according to the outdoor temperature, the indoor heat dissipation, and the compensated target air volume.

[0014] In one embodiment, the indoor temperature prediction value is positively correlated with the outdoor temperature and the indoor heat dissipation, respectively, and the indoor temperature prediction value is negatively correlated with the compensated target air volume.

[0015] In one embodiment, obtaining the predicted indoor temperature value of the target space according to the outdoor temperature, the indoor heat dissipation, and the compensated target air volume includes:

[0016] Obtaining a first ratio of the indoor heat dissipation to the compensated target air volume;

[0017] A predicted value of the indoor temperature of the target space is obtained according to the sum of the first ratio and the outdoor temperature.

[0018] In one embodiment, the target air volume is positively correlated with the indoor heat dissipation and the intake air temperature, and the target air volume is negatively correlated with the exhaust temperature.

[0019] In one embodiment, obtaining the target air volume provided to the target space by the HVAC system according to the indoor heat dissipation, the exhaust temperature, and the intake air temperature includes:

[0020] obtaining a difference between the exhaust temperature and the intake temperature;

[0021] A target air volume provided to the target space by the HVAC system is obtained according to a second ratio of the indoor heat dissipation to the difference.

[0022] In one embodiment, obtaining the exhaust temperature and the intake temperature of the target space includes:

[0023] The maximum design temperature of the target space and the historical maximum value of the outdoor air temperature are obtained; wherein the exhaust temperature is the maximum design temperature, and the intake temperature is the historical maximum value of the outdoor air temperature.

[0024] In one embodiment, the method further comprises:

[0025] Obtaining the maximum design temperature of the target space;

[0026] When the predicted indoor temperature value is greater than the maximum design temperature, a warning message is generated.

[0027] In one embodiment, the method further comprises:

[0028] Obtaining a measured indoor temperature value of the target space;

[0029] When the indoor temperature measurement value is greater than the maximum design temperature, an alarm message is generated; wherein the urgency of the alarm message is greater than that of the early warning message.

[0030] In a second aspect, the present application also provides an indoor temperature prediction system. The system comprises:

[0031] Temperature detection module, used to obtain the exhaust temperature, intake temperature and outdoor temperature of the target space;

[0032] a processing module connected to the temperature detection module, for obtaining the spatial heat dissipation of the target space, and obtaining the target air volume provided to the target space by the HVAC system based on the indoor heat dissipation, the exhaust temperature and the intake temperature, and obtaining the predicted indoor temperature value of the target space based on the outdoor temperature, the indoor heat dissipation and the target air volume.

[0033] In a third aspect, the present application further provides an indoor temperature prediction device. The device comprises:

[0034] The first acquisition module is used to obtain the indoor heat dissipation, exhaust temperature, intake temperature and outdoor temperature of the target space;

[0035] a second acquisition module, configured to acquire a target air volume provided by a HVAC system to the target space according to the indoor heat dissipation, the exhaust temperature, and the intake air temperature;

[0036] The third acquisition module is used to obtain the predicted value of the indoor temperature of the target space according to the outdoor temperature, the indoor heat dissipation and the target air volume.

[0037] In a fourth aspect, the present application further provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the steps of the indoor temperature prediction method provided in the first aspect are implemented.

[0038] In a fifth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the indoor temperature prediction method provided in the first aspect.

[0039] In a sixth aspect, the present application further provides a computer program product, comprising a computer program that, when executed by a processor, implements the steps of the indoor temperature prediction method provided in the first aspect.

[0040] The aforementioned indoor temperature prediction method, system, apparatus, computer device, storage medium, and computer program product obtain the target space's indoor heat dissipation, exhaust temperature, intake air temperature, and outdoor temperature. Based on the indoor heat dissipation, exhaust temperature, and intake air temperature, they determine the target air volume provided to the target space by the HVAC system. Furthermore, based on the outdoor temperature, indoor heat dissipation, and target air volume, they obtain a predicted indoor temperature for the target space. Compared to related techniques that directly measure indoor temperature, this prediction method not only considers the target space's external environment and indoor heat dissipation, but also the impact of indoor ventilation provided by the HVAC system on indoor temperature. This improves the accuracy of indoor temperature prediction for the target space, enabling more accurate identification of potential high-temperature steep-edge effects in spaces using DC ventilation cooling, helping to alert operators to take timely appropriate measures and improve safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 A schematic flow chart of an indoor temperature prediction method provided by an embodiment;

[0042] Figure 2 A schematic flow chart of step S103 provided in one embodiment;

[0043] Figure 3 A schematic flow chart of step S102 provided in one embodiment;

[0044] Figure 4 A schematic flow chart of an indoor temperature prediction method provided in another embodiment;

[0045] Figure 5 A schematic flow chart of an indoor temperature prediction method provided in yet another embodiment;

[0046] Figure 6 A schematic flow chart of an indoor temperature prediction method provided in another embodiment;

[0047] Figure 7 A block diagram of an indoor temperature prediction system provided by an embodiment;

[0048] Figure 8A structural block diagram of an indoor temperature prediction device provided by an embodiment;

[0049] Figure 9 FIG. 1 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0050] In order to make the purpose, technical solutions and advantages of this application more clear, the following further describes this application in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not intended to limit this application.

[0051] As mentioned in the background art, temperatures exceeding the design benchmark can cause a steep-edge effect in nuclear power plants and lead to serious accidents. Therefore, it is necessary to predict the temperature inside nuclear power plant rooms and provide early warning of potential steep-edge effects. In related art, a feasible detection method is to install temperature detectors in each room to monitor the room temperature in real time. If the real-time room temperature exceeds the maximum design temperature, an alarm is issued, prompting the operator to take appropriate action. However, since it takes time for heat to transfer into the room after the outdoor ambient temperature rises, the indoor temperature does not rise immediately. In other words, there is a certain lag in the temperature rise inside the room. If an alarm is issued only when the real-time room temperature exceeds the maximum design temperature, the operator's intervention time is significantly reduced, which is detrimental to the safe operation of the nuclear power plant. Furthermore, if an alarm is set to sound in advance, the subsequent temperature change trend may not be certain, and the steep-edge effect may not occur after the alarm is sounded (for example, after the early alarm, the outdoor temperature begins to drop), causing the operator to take incorrect actions.

[0052] Based on the above, the present application provides an indoor temperature prediction method, device, computer equipment, storage medium and computer program product to predict indoor temperature, thereby providing early warning of high temperatures, improving the accuracy and reliability of indoor temperature prediction, and ensuring safety.

[0053] In one embodiment, Figure 1 As shown, a method for predicting indoor temperature is provided. This embodiment uses the method applied to a terminal as an example. It is understood that the method can also be applied to a server, or to a system comprising a terminal and a server, and implemented through interaction between the terminal and the server. This embodiment is not limited to application scenarios in nuclear power plants; indoor temperatures can also be predicted in various environments, such as warehouses and farms. The indoor temperature prediction method provided herein may include the following steps S101-S103.

[0054] S101: Obtain indoor heat dissipation, exhaust temperature, intake temperature, and outdoor temperature of a target space.

[0055] The target space refers to the space whose indoor temperature is to be predicted. For example, in the scenario of predicting the indoor temperature of a nuclear power plant, the target space refers to the room in the nuclear power plant; for another example, in the scenario of predicting the indoor temperature of a warehouse, the target space refers to the room in the warehouse. In the embodiment of the present application, the target space can also be any other space such as a room in a breeding farm, a classroom in a school, etc. The target space can be determined according to the actual application requirements and is not limited here. Indoor heat dissipation refers to the heat emitted by various devices in the target space, and can be determined based on the layout of each device in the target space and the characteristics of each device. Exhaust temperature refers to the temperature of the air discharged from the target space. Intake temperature refers to the temperature entering the target space. Outdoor temperature refers to the outdoor temperature of the target space. For example, multiple temperature detectors can be arranged around the target space, and the temperature values ​​measured by multiple temperature detectors are averaged to obtain the outdoor temperature of the target space.

[0056] S102: Obtain a target air volume provided by the HVAC system to the target space based on the indoor heat dissipation, exhaust temperature, and intake air temperature.

[0057] The HVAC system is installed in the target space to ventilate it and lower the indoor temperature. The target air volume is the theoretical air volume that the HVAC system needs to provide to maintain the indoor temperature of the target space.

[0058] S103: Obtaining a predicted indoor temperature value of the target space according to the outdoor temperature, indoor heat dissipation, and target air volume.

[0059] The indoor temperature prediction method provided in the above embodiment obtains the indoor heat dissipation, exhaust temperature, intake air temperature, and outdoor temperature of the target space. Based on the indoor heat dissipation, exhaust temperature, and intake air temperature, it determines the target air volume provided to the target space by the HVAC system. Furthermore, based on the outdoor temperature, indoor heat dissipation, and target air volume, it obtains a predicted indoor temperature value for the target space. Compared to related art methods that directly measure indoor temperature, this prediction method not only considers the external environment of the target space and the indoor heat dissipation conditions, but also the impact of indoor ventilation provided by the HVAC system on the indoor temperature. This improves the prediction accuracy of the target space's indoor temperature, enabling more accurate identification of potential high-temperature cliff effects in spaces using DC ventilation cooling, helping to prompt operators to take appropriate measures in a timely manner and improving safety.

[0060] In one embodiment, the indoor temperature prediction method may further include: compensating the target air volume according to a preset margin coefficient to obtain the compensated target air volume. The preset margin coefficient is used to indicate the margin of the HVAC system to provide the target air volume for the target space. The preset margin coefficient is pre-set and can be determined based on empirical values ​​or specific application scenarios. For example, the preset margin coefficient can be 15%, 20%, 25%, etc., or other values, which are not limited here. In the embodiment of the present application, the target air volume is recorded as L0, and the preset margin coefficient is recorded as The target air volume after compensation is recorded as L, then the target air volume after compensation is Step S103, which determines the indoor temperature of the target space based on the outdoor temperature, indoor heat dissipation, and target air volume, may include determining the indoor temperature of the target space based on the outdoor temperature, indoor heat dissipation, and the compensated target air volume. This further improves the accuracy of indoor temperature prediction by considering the actual air volume provided by the HVAC system to the target space from an engineering perspective and compensating the target air volume with a preset margin factor.

[0061] In one embodiment, the indoor temperature prediction value is positively correlated with the outdoor temperature and indoor heat dissipation, respectively, and the indoor temperature prediction value is negatively correlated with the compensated target air volume. It is understandable that the higher the outdoor temperature, the higher the temperature of the outdoor environment of the target space. Therefore, the temperature of the air entering the room is also higher, and the indoor temperature is also higher, that is, the indoor temperature prediction value is positively correlated with the outdoor temperature. The higher the indoor heat dissipation, the higher the heat dissipation of each device in the target space. Therefore, the indoor temperature is also higher, that is, the indoor temperature prediction value is positively correlated with the indoor heat dissipation. The greater the air volume provided to the target space by the HVAC system, the faster the indoor ventilation speed is, which helps to reduce the indoor temperature. Therefore, the lower the indoor temperature, that is, the indoor temperature prediction value is negatively correlated with the compensated target air volume.

[0062] In one embodiment, Figure 2 As shown, step S103: obtaining a predicted value of the indoor temperature of the target space according to the outdoor temperature, the indoor heat dissipation and the compensated target air volume, may include the following S201 and S202.

[0063] S201: Obtain a first ratio of indoor heat dissipation to the compensated target air volume.

[0064] S202: Obtain a predicted indoor temperature value of the target space according to the sum of the first ratio and the outdoor temperature.

[0065] For example, the indoor temperature prediction value can be calculated using the following formula:

[0066]

[0067] Among them, t cIndicates the predicted indoor temperature (℃); t0 indicates the outdoor temperature (℃); Q indicates the indoor heat dissipation (m 3 / ); ρ represents air density (kg / m 3 ), generally taken as 1.2kg / m 3 ; c represents the specific heat of air, with the unit of kJ / (kg·℃), generally taken as 1.01kJ / (kg·℃); L represents the target air volume after compensation; Δt represents the fan temperature rise of the HVAC system, which is generally determined according to the fan characteristics. Among them, the fan temperature rise refers to the mechanical energy of the fan that drives the air flow to do work and is converted into heat energy and released into the air to increase the air temperature.

[0068] In one embodiment, the target air volume is positively correlated with the indoor heat dissipation and the intake air temperature, respectively, and negatively correlated with the exhaust air temperature. It is understood that to maintain the indoor temperature, the greater the indoor heat dissipation, the greater the air volume the HVAC system needs to provide to the target space. A higher intake air temperature, i.e., the higher the temperature of the air entering the target space, increases the air volume the HVAC system needs to provide to the target space in order to maintain the indoor temperature from rising due to the intake air temperature.

[0069] In one embodiment, Figure 3 As shown, step S102: obtaining the target air volume provided by the HVAC system to the target space according to the indoor heat dissipation, exhaust temperature and intake air temperature, may include the following S301 and S302.

[0070] S301: Obtain the difference between the exhaust temperature and the intake air temperature.

[0071] S302: Obtain a target air volume provided by the HVAC system to the target space according to a second ratio of the indoor heat dissipation to the difference.

[0072] For example, the target air volume can be calculated using the following formula:

[0073]

[0074] Where L0 represents the target air volume; Q represents the indoor heat dissipation; ρ represents the air density (kg / m 3 ), generally taken as 1.2kg / m 3 ; c represents the specific heat of air, the unit is kJ / (kg·℃), generally taken as 1.01kJ / (kg·℃); t p Indicates exhaust temperature (℃); t max Indicates the intake air temperature (°C); Δt indicates the fan temperature rise.

[0075] In one embodiment, step S101: obtaining the exhaust temperature and intake temperature of the target space may include: obtaining the maximum design temperature of the target space and the historical extreme high value of the outdoor temperature. The exhaust temperature is the maximum design temperature, and the intake temperature is the historical extreme high value of the outdoor temperature. The maximum design temperature refers to the highest temperature allowed to be reached in the target space, which can generally be determined based on the layout of the indoor equipment and is not limited here. In this way, the target air volume is calculated based on the maximum design temperature and the historical extreme high value of the outdoor temperature, fully considering various extreme situations. Based on this predicted indoor temperature, the steep edge effect caused by high temperature is identified, which helps to provide early warning, avoid accidents, and further improve safety.

[0076] In one embodiment, Figure 4 As shown, the indoor temperature prediction method may further include the following steps S401 and S402.

[0077] S401: Obtain the maximum design temperature of the target space.

[0078] The maximum design temperature refers to the highest temperature allowed in the target space. It can be determined based on factors such as the required space environment conditions and the maximum temperature tolerance of indoor equipment. For example, the maximum design temperature can be 45°C, 50°C, 55°C, etc. Other values ​​are also possible and are not limited here.

[0079] S402: When the predicted indoor temperature value is greater than the maximum design temperature, generate a warning message.

[0080] If the predicted indoor temperature value is greater than the target space's maximum design temperature, it indicates that the target space's indoor temperature may exceed the target space's maximum allowable temperature (i.e., the maximum design temperature) over a period of time, posing a risk of a high-temperature cliff effect. In this case, an early warning message can be used to promptly alert the operator to take appropriate measures, such as initiating preparatory work and monitoring the actual indoor temperature in real time, thereby avoiding the cliff effect and ensuring the safety of the target space. For example, the early warning message can trigger an alarm, such as a flashing indicator light or a buzzer, to alert the operator.

[0081] Optionally, the predicted indoor temperature value is lower than the maximum design temperature of the target space, indicating that after a period of time, the indoor temperature of the target space is less likely to exceed the maximum design temperature of the target space. It can be determined that the target space will not experience a high temperature steep edge effect. In this case, no early warning is required.

[0082] The indoor temperature prediction method provided in the above embodiment identifies whether the indoor temperature of the target space will cause a steep edge effect in the subsequent time by comparing the indoor temperature prediction value with the maximum design temperature, and generates early warning information when the indoor temperature prediction value is greater than the maximum design temperature, thereby warning of the possibility of a steep edge effect, thereby reducing the risk of steep edge effect caused by high temperature and improving safety.

[0083] In one embodiment, Figure 5 As shown, the indoor temperature prediction method may further include the following steps S501 and S502.

[0084] S501: Obtaining a measured indoor temperature value of a target space.

[0085] The indoor temperature measurement value refers to the actual measurement value of the indoor temperature of the target space. For example, multiple temperature detectors can be arranged in the target space, and multiple measurement values ​​can be obtained in real time and the average value is taken as the indoor temperature measurement value of the target space.

[0086] S502: When the indoor temperature measurement value is greater than the maximum design temperature, an alarm message is generated.

[0087] If the indoor temperature measurement value is greater than the maximum design temperature, it indicates that the indoor temperature of the target space has exceeded the maximum design temperature, and a steep edge effect is very likely to occur. In this case, an alarm can be issued through an alarm message, and the urgency of the alarm message is greater than that of the early warning message, so as to promptly prompt the operator to take cooling measures as soon as possible, for example, reducing the heat load generated by indoor equipment, starting the on-site cooling system, etc., to cool the target space and avoid serious accidents caused by failure of indoor equipment.

[0088] The indoor temperature prediction method provided in the above embodiment determines whether the indoor temperature of the target space exceeds the maximum allowable indoor temperature by comparing the indoor temperature measurement value with the maximum design temperature when the indoor temperature prediction value is greater than the maximum design temperature. The method also issues an alarm through an alarm message to promptly remind people to take cooling measures, avoid the occurrence of the steep edge effect, and improve safety.

[0089] Optionally, the indoor temperature prediction method may further include: a step of displaying the predicted indoor temperature value of the target space. Optionally, the indoor temperature prediction method may further include: a step of displaying the maximum design temperature of the target space, and a step of displaying a warning message when the indoor temperature is greater than the maximum design temperature. Optionally, the indoor temperature prediction method may further include: a step of displaying the measured indoor temperature value of the target space, and a step of displaying an alarm message when the measured indoor temperature value is greater than the maximum design temperature. It should be noted that the indoor temperature prediction method provided in the present application may also include displaying other data, such as exhaust temperature, intake temperature, indoor heat dissipation, etc., which are not limited here.

[0090] For better understanding, Figure 6 As shown, another indoor temperature prediction method is provided, which is applied to a nuclear power plant as an example to predict the temperature of each room where nuclear power equipment is placed. Specifically, the method includes the following S601-S610.

[0091] S601: Obtain indoor heat dissipation, maximum design temperature, historical maximum outdoor temperature value, outdoor temperature, and indoor temperature measurement values ​​of the target space.

[0092] In this embodiment, the target space is a room in a nuclear power plant where nuclear power equipment is placed. The indoor heat dissipation Q is 570.8kW, and the maximum design temperature t p The outdoor temperature is 50℃, the highest historical value max The indoor temperature is 39.8℃, and the measured value is t r .

[0093] S602: Obtain the target air volume provided by the HVAC system to the target space based on the indoor heat dissipation, the maximum design temperature, and the historical maximum outdoor temperature value.

[0094] Specifically, the target air volume L0 is obtained by using the above formula (2) as shown in Table 1 below.

[0095] Table 1 Air volume calculation results

[0096] Indoor heat dissipation Q <![CDATA[Highest design temperature t p > <![CDATA[Target air volume L0]]> 570.8kW 50℃ <![CDATA[230000m 3 / h]]>

[0097] S603: Compensating the target air volume according to a preset margin coefficient to obtain a compensated target air volume.

[0098] For example, considering a certain degree of conservatism, the margin coefficient is preset If it is set as 20%, the target air volume after compensation L=L0(1+20%).

[0099] S604: Obtain a predicted indoor temperature value of the target space according to the outdoor temperature, the indoor heat dissipation, and the compensated target air volume.

[0100] Specifically, the indoor temperature prediction value r is obtained using the above formula (2): c As shown in Table 2 below.

[0101] Table 2 Calculation results of indoor temperature prediction values

[0102] Indoor heat dissipation Q <![CDATA[Outdoor temperature t0]]> <![CDATA[Target air volume L0]]> <![CDATA[Predicted indoor temperature t c > 570.8kW 40.9℃ <![CDATA[230000m 3 / h]]> 49.7℃

[0103] S605: Determine whether the predicted indoor temperature value is higher than the maximum design temperature.

[0104] If t c >t p , execute the following steps S606 and S607. c ≤t p , no warning information is generated, that is, step S609. Based on the above steps, the indoor temperature prediction value t is calculated. c =49.7℃, which is 50℃ lower than the maximum design temperature. It is believed that the actual ambient temperature in the room will not exceed the tolerance temperature of the equipment. The equipment in the room can still perform its safety functions and no steep edge effect will occur.

[0105] S606: Generate warning information to issue a high temperature steep edge effect warning.

[0106] For example, the warning information is displayed on the display screen and the alarm sounds. After receiving the warning, the operator takes preparatory actions and monitors the indoor temperature measurement value in real time.

[0107] S607: Determine whether the indoor temperature measurement value is greater than the maximum design temperature.

[0108] If t r >t p , execute the following step S608. r ≤t p , no alarm information is generated, that is, step S610.

[0109] S608: Generate an alarm message to remind you to take intervention actions to reduce the temperature.

[0110] In this case, after receiving the alarm, the operator quickly reduced the heat load generated by the equipment in the room, started the on-site cooling system, reduced the power of the nuclear power unit, and other measures to avoid equipment failure in the room and affect the safety of the unit.

[0111] The indoor temperature prediction method provided in the above embodiment monitors the indoor ambient temperature that may be reached in each room of the nuclear power plant in real time based on the actual measured ambient temperature of the nuclear power plant and the heat load and HVAC system capacity of each room, thereby determining whether the room may experience a steep edge effect and promptly reminding the operator to take relevant measures to ensure the safe operation of the nuclear power plant.

[0112] It should be understood that, although the various steps in the flowcharts involved in the various embodiments described above are displayed in sequence according to the instructions of the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and these steps can be executed in other orders. Moreover, at least a portion of the steps in the flowcharts involved in the various embodiments described above can include multiple steps or multiple stages, and these steps or stages are not necessarily executed and completed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a portion of steps or stages in other steps.

[0113] Based on the indoor temperature prediction method provided in the above embodiment, the embodiment of the present application also provides an indoor temperature prediction system. Figure 7 As shown, the indoor temperature prediction system 700 includes a temperature detection module 701 and a processing module 702 .

[0114] The temperature detection module 701 is used to obtain the exhaust temperature, intake temperature, and outdoor temperature of the target space. For example, the temperature detection module 701 can be a device with a temperature detection function, such as a temperature sensor or a thermometer, which is not limited here.

[0115] Processing module 702 is connected to temperature detection module 701. Processing module 702 is configured to obtain the heat dissipation of the target space, determine the target air volume to be provided to the target space by the HVAC system based on the indoor heat dissipation, exhaust temperature, and intake air temperature, and determine the predicted indoor temperature of the target space based on the outdoor temperature, indoor heat dissipation, and target air volume. Processing module 702 can be, for example, any device with data processing capabilities, such as a processor or a programmable gate array, and is not limited here.

[0116] Compared with the direct indoor temperature measurement in related technologies, the above-mentioned indoor temperature prediction system not only takes into account the external environment of the target space and the indoor heat dissipation conditions, but also considers the impact of the HVAC system on the indoor temperature for indoor ventilation. This improves the prediction accuracy of the indoor temperature of the target space, thereby being able to more accurately identify the potential high temperature steep edge effect in spaces using DC ventilation cooling, which is conducive to reminding operators to take corresponding measures in a timely manner and improve safety.

[0117] In one embodiment, the processing module is also used to compensate the target air volume according to a preset margin coefficient to obtain a compensated target air volume; and obtain a predicted indoor temperature value of the target space according to the outdoor temperature, the indoor heat dissipation and the compensated target air volume.

[0118] In one embodiment, the indoor temperature prediction value is positively correlated with the outdoor temperature and the indoor heat dissipation, respectively, and the indoor temperature prediction value is negatively correlated with the compensated target air volume.

[0119] In one embodiment, the processing module is further configured to obtain a first ratio of the indoor heat dissipation to the compensated target air volume; and obtain a predicted indoor temperature value of the target space based on the sum of the first ratio and the outdoor temperature.

[0120] In one embodiment, the target air volume is positively correlated with the indoor heat dissipation and the intake air temperature, and the target air volume is negatively correlated with the exhaust temperature.

[0121] In one embodiment, the processing module is further used to obtain the difference between the exhaust temperature and the intake temperature; and obtain the target air volume provided to the target space by the HVAC system based on a second ratio of the indoor heat dissipation to the difference.

[0122] In one embodiment, the processing module is further used to obtain the maximum design temperature of the target space and the historical extremely high value of the outdoor air temperature; wherein the exhaust temperature is the maximum design temperature, and the intake temperature is the historical extremely high value of the outdoor air temperature.

[0123] In one embodiment, the processing module is further configured to obtain a maximum design temperature of the target space; and generate a warning message when the predicted indoor temperature value is greater than the maximum design temperature.

[0124] In one embodiment, the temperature detection module is further configured to obtain a measured indoor temperature value of the target space. The processing module is further configured to generate an alarm message if the measured indoor temperature value exceeds the maximum design temperature; wherein the alarm message has a higher degree of urgency than the early warning message.

[0125] Based on the same inventive concept, embodiments of the present application also provide an indoor temperature prediction device for implementing the aforementioned indoor temperature prediction method. The solution provided by this device is similar to the solution described in the aforementioned method. Therefore, the specific limitations of one or more embodiments of the indoor temperature prediction device provided below can be found in the aforementioned limitations of the indoor temperature prediction method and will not be further elaborated here.

[0126] In one embodiment, Figure 8As shown, an indoor temperature prediction device 800 is provided. The indoor temperature prediction device 800 includes a first acquisition module 801, a second acquisition module 802, and a third acquisition module 803. The first acquisition module 801 is configured to acquire the indoor heat dissipation, exhaust temperature, intake air temperature, and outdoor temperature of a target space. The second acquisition module 802 is configured to acquire the target air volume provided by the HVAC system to the target space based on the indoor heat dissipation, exhaust temperature, and intake air temperature. The third acquisition module 803 is configured to acquire a predicted indoor temperature value of the target space based on the outdoor temperature, indoor heat dissipation, and target air volume.

[0127] The indoor temperature prediction device provided in the above embodiment obtains the indoor heat dissipation, exhaust temperature, intake air temperature, and outdoor temperature of the target space. Based on the indoor heat dissipation, exhaust temperature, and intake air temperature, it determines the target air volume provided to the target space by the HVAC system. Furthermore, based on the outdoor temperature, indoor heat dissipation, and target air volume, it obtains a predicted indoor temperature value for the target space. Compared to related art methods that directly measure indoor temperature, this prediction method not only considers the external environment of the target space and the indoor heat dissipation conditions, but also the impact of indoor ventilation provided by the HVAC system on the indoor temperature. This improves the prediction accuracy of the target space's indoor temperature, enabling more accurate identification of potential high-temperature cliff effects in spaces using DC ventilation cooling, helping to prompt operators to take appropriate measures in a timely manner and improving safety.

[0128] In one embodiment, the indoor temperature prediction device further includes a compensation module configured to compensate the target air volume according to a preset margin coefficient to obtain a compensated target air volume. The third acquisition module is further configured to obtain a predicted indoor temperature value of the target space based on the outdoor temperature, the indoor heat dissipation, and the compensated target air volume.

[0129] In one embodiment, the indoor temperature prediction value is positively correlated with the outdoor temperature and the indoor heat dissipation, respectively, and the indoor temperature prediction value is negatively correlated with the compensated target air volume.

[0130] In one embodiment, the third acquisition module is further used to obtain a first ratio of the indoor heat dissipation to the compensated target air volume; and obtain a predicted value of the indoor temperature of the target space based on the sum of the first ratio and the outdoor temperature.

[0131] In one embodiment, the target air volume is positively correlated with the indoor heat dissipation and the intake air temperature, and the target air volume is negatively correlated with the exhaust temperature.

[0132] In one embodiment, the second acquisition module is further used to obtain the difference between the exhaust temperature and the intake temperature; and obtain the target air volume provided to the target space by the HVAC system based on a second ratio of the indoor heat dissipation to the difference.

[0133] In one embodiment, the first acquisition module is further used to obtain the maximum design temperature of the target space and the historical extremely high value of the outdoor air temperature; wherein the exhaust temperature is the maximum design temperature, and the intake temperature is the historical extremely high value of the outdoor air temperature.

[0134] In one embodiment, the first acquisition module is further configured to acquire the maximum design temperature of the target space. The indoor temperature prediction device further comprises a generation module, which is further configured to generate warning information when the predicted indoor temperature value is greater than the maximum design temperature.

[0135] In one embodiment, the first acquisition module is further configured to acquire a measured indoor temperature value of the target space. The generation module is further configured to generate an alarm message if the measured indoor temperature value is greater than the maximum design temperature; wherein the alarm message has a higher urgency than the early warning message.

[0136] In one embodiment, the indoor temperature prediction device may further include a display module, which is used to display the indoor temperature prediction value, and may also be used to display any one or more of indoor heat dissipation, exhaust temperature, intake temperature, outdoor temperature, warning information and alarm information.

[0137] Each module in the indoor temperature prediction device described above can be implemented in whole or in part through software, hardware, or a combination thereof. Each module can be embedded in or independent of a processor in a computer device in hardware form, or can be stored in a memory in the computer device in software form, so that the processor can call and execute the corresponding operations of each module.

[0138] In one embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be as follows: Figure 9As shown. The computer device includes a processor, a memory, a communication interface, a display screen and an input device connected via a system bus. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be achieved through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. When the computer program is executed by the processor, a method for predicting indoor temperature is implemented. The display screen of the computer device can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covering the display screen, or a button, trackball or touchpad provided on the computer device housing, or an external keyboard, touchpad or mouse.

[0139] Those skilled in the art will understand that Figure 9 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0140] In one embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the following steps are implemented:

[0141] Obtain the indoor heat dissipation, exhaust temperature, intake temperature and outdoor temperature of the target space;

[0142] Obtaining a target air volume provided by a HVAC system to the target space according to the indoor heat dissipation, the exhaust temperature, and the intake air temperature;

[0143] A predicted value of the indoor temperature of the target space is obtained according to the outdoor temperature, the indoor heat dissipation, and the target air volume.

[0144] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0145] Compensating the target air volume according to a preset margin coefficient to obtain a compensated target air volume;

[0146] A predicted value of the indoor temperature of the target space is obtained according to the outdoor temperature, the indoor heat dissipation, and the compensated target air volume.

[0147] In one embodiment, the indoor temperature prediction value is positively correlated with the outdoor temperature and the indoor heat dissipation, respectively, and the indoor temperature prediction value is negatively correlated with the compensated target air volume.

[0148] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0149] Obtaining a first ratio of the indoor heat dissipation to the compensated target air volume;

[0150] A predicted value of the indoor temperature of the target space is obtained according to the sum of the first ratio and the outdoor temperature.

[0151] In one embodiment, the target air volume is positively correlated with the indoor heat dissipation and the intake air temperature, and the target air volume is negatively correlated with the exhaust temperature.

[0152] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0153] obtaining a difference between the exhaust temperature and the intake temperature;

[0154] A target air volume provided to the target space by the HVAC system is obtained according to a second ratio of the indoor heat dissipation to the difference.

[0155] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0156] The maximum design temperature of the target space and the historical maximum value of the outdoor air temperature are obtained; wherein the exhaust temperature is the maximum design temperature, and the intake temperature is the historical maximum value of the outdoor air temperature.

[0157] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0158] Obtaining the maximum design temperature of the target space;

[0159] When the predicted indoor temperature value is greater than the maximum design temperature, a warning message is generated.

[0160] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0161] Obtaining a measured indoor temperature value of the target space;

[0162] When the indoor temperature measurement value is greater than the maximum design temperature, an alarm message is generated; wherein the urgency of the alarm message is greater than that of the early warning message.

[0163] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the following steps are implemented:

[0164] Obtain the indoor heat dissipation, exhaust temperature, intake temperature and outdoor temperature of the target space;

[0165] Obtaining a target air volume provided by a HVAC system to the target space according to the indoor heat dissipation, the exhaust temperature, and the intake air temperature;

[0166] A predicted value of the indoor temperature of the target space is obtained according to the outdoor temperature, the indoor heat dissipation, and the target air volume.

[0167] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0168] Compensating the target air volume according to a preset margin coefficient to obtain a compensated target air volume;

[0169] A predicted value of the indoor temperature of the target space is obtained according to the outdoor temperature, the indoor heat dissipation, and the compensated target air volume.

[0170] In one embodiment, the indoor temperature prediction value is positively correlated with the outdoor temperature and the indoor heat dissipation, respectively, and the indoor temperature prediction value is negatively correlated with the compensated target air volume.

[0171] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0172] Obtaining a first ratio of the indoor heat dissipation to the compensated target air volume;

[0173] A predicted value of the indoor temperature of the target space is obtained according to the sum of the first ratio and the outdoor temperature.

[0174] In one embodiment, the target air volume is positively correlated with the indoor heat dissipation and the intake air temperature, and the target air volume is negatively correlated with the exhaust temperature.

[0175] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0176] obtaining a difference between the exhaust temperature and the intake temperature;

[0177] A target air volume provided to the target space by the HVAC system is obtained according to a second ratio of the indoor heat dissipation to the difference.

[0178] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0179] The maximum design temperature of the target space and the historical maximum value of the outdoor air temperature are obtained; wherein the exhaust temperature is the maximum design temperature, and the intake temperature is the historical maximum value of the outdoor air temperature.

[0180] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0181] Obtaining the maximum design temperature of the target space;

[0182] When the predicted indoor temperature value is greater than the maximum design temperature, a warning message is generated.

[0183] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0184] Obtaining a measured indoor temperature value of the target space;

[0185] When the indoor temperature measurement value is greater than the maximum design temperature, an alarm message is generated; wherein the urgency of the alarm message is greater than that of the early warning message.

[0186] In one embodiment, a computer program product is provided, comprising a computer program, which, when executed by a processor, implements the following steps:

[0187] Obtain the indoor heat dissipation, exhaust temperature, intake temperature and outdoor temperature of the target space;

[0188] Obtaining a target air volume provided by a HVAC system to the target space according to the indoor heat dissipation, the exhaust temperature, and the intake air temperature;

[0189] A predicted value of the indoor temperature of the target space is obtained according to the outdoor temperature, the indoor heat dissipation, and the target air volume.

[0190] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0191] Compensating the target air volume according to a preset margin coefficient to obtain a compensated target air volume;

[0192] A predicted value of the indoor temperature of the target space is obtained according to the outdoor temperature, the indoor heat dissipation, and the compensated target air volume.

[0193] In one embodiment, the indoor temperature prediction value is positively correlated with the outdoor temperature and the indoor heat dissipation, respectively, and the indoor temperature prediction value is negatively correlated with the compensated target air volume.

[0194] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0195] Obtaining a first ratio of the indoor heat dissipation to the compensated target air volume;

[0196] A predicted value of the indoor temperature of the target space is obtained according to the sum of the first ratio and the outdoor temperature.

[0197] In one embodiment, the target air volume is positively correlated with the indoor heat dissipation and the intake air temperature, and the target air volume is negatively correlated with the exhaust temperature.

[0198] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0199] obtaining a difference between the exhaust temperature and the intake temperature;

[0200] A target air volume provided to the target space by the HVAC system is obtained according to a second ratio of the indoor heat dissipation to the difference.

[0201] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0202] The maximum design temperature of the target space and the historical maximum value of the outdoor air temperature are obtained; wherein the exhaust temperature is the maximum design temperature, and the intake temperature is the historical maximum value of the outdoor air temperature.

[0203] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0204] Obtaining the maximum design temperature of the target space;

[0205] When the predicted indoor temperature value is greater than the maximum design temperature, a warning message is generated.

[0206] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0207] Obtaining a measured indoor temperature value of the target space;

[0208] When the indoor temperature measurement value is greater than the maximum design temperature, an alarm message is generated; wherein the urgency of the alarm message is greater than that of the early warning message.

[0209] It should be noted that the data involved in this application (including but not limited to data used for analysis, stored data, displayed data, etc.) are all information and data authorized by the user or fully authorized by all parties.

[0210] Those skilled in the art will appreciate that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, database or other media used in the embodiments provided in this application may include at least one of non-volatile and volatile memory. Non-volatile memory may include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory may include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in the various embodiments provided herein may include at least one of a relational database and a non-relational database. Non-relational databases may include, but are not limited to, distributed databases based on blockchains. The processor involved in the various embodiments provided herein may be, but are not limited to, a general-purpose processor, a central processing unit, a graphics processing unit, a digital signal processor, a programmable logic unit, a data processing logic unit based on quantum computing, and the like.

[0211] The technical features of the above embodiments can be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0212] The above-described embodiments merely represent several implementation methods of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present application. It should be noted that a person of ordinary skill in the art may make various modifications and improvements without departing from the spirit of the present application, and these modifications and improvements fall within the scope of protection of the present application. Therefore, the scope of protection of the present application shall be determined by the appended claims.

Claims

1. A method for predicting indoor temperature, characterized in that: The method comprises: Obtain the indoor heat dissipation, exhaust temperature, intake temperature and outdoor temperature of the target space; Obtaining a target air volume provided by a HVAC system to the target space according to the indoor heat dissipation, the exhaust temperature, and the intake air temperature; Obtaining a predicted indoor temperature value of the target space according to the outdoor temperature, the indoor heat dissipation, and the target air volume; Compensating the target air volume according to a preset margin coefficient to obtain a compensated target air volume; Obtaining a first ratio of the indoor heat dissipation to the compensated target air volume; The indoor temperature prediction value of the target space is obtained based on the sum of the first ratio and the outdoor temperature; the indoor temperature prediction value is positively correlated with the outdoor temperature and the indoor heat dissipation, respectively, and the indoor temperature prediction value is negatively correlated with the compensated target air volume.

2. The indoor temperature prediction method according to claim 1, characterized in that: The target air volume is positively correlated with the indoor heat dissipation and the intake air temperature, and is negatively correlated with the exhaust air temperature.

3. The indoor temperature prediction method according to claim 2, characterized in that: The step of obtaining a target air volume provided by the HVAC system to the target space according to the indoor heat dissipation, the exhaust temperature, and the intake air temperature includes: obtaining a difference between the exhaust temperature and the intake temperature; A target air volume provided to the target space by the HVAC system is obtained according to a second ratio of the indoor heat dissipation to the difference.

4. The indoor temperature prediction method according to claim 3, characterized in that: The step of obtaining the exhaust temperature and the intake temperature of the target space includes: The maximum design temperature of the target space and the historical maximum value of the outdoor air temperature are obtained; wherein the exhaust temperature is the maximum design temperature, and the intake temperature is the historical maximum value of the outdoor air temperature.

5. The indoor temperature prediction method according to claim 1, characterized in that: The method further comprises: Obtaining the maximum design temperature of the target space; When the predicted indoor temperature value is greater than the maximum design temperature, a warning message is generated.

6. The indoor temperature prediction method according to claim 5, characterized in that: The method further comprises: Obtaining a measured indoor temperature value of the target space; When the indoor temperature measurement value is greater than the maximum design temperature, an alarm message is generated; wherein the urgency of the alarm message is greater than that of the early warning message.

7. An indoor temperature prediction system, characterized in that: The system comprises: Temperature detection module, used to obtain the exhaust temperature, intake temperature and outdoor temperature of the target space; a processing module connected to the temperature detection module, configured to obtain the indoor heat dissipation of the target space, and obtain a target air volume provided to the target space by the HVAC system based on the indoor heat dissipation, the exhaust temperature, and the intake air temperature, and obtain a predicted indoor temperature value of the target space based on the outdoor temperature, the indoor heat dissipation, and the target air volume; The processing module is also used to compensate the target air volume according to a preset margin coefficient to obtain a compensated target air volume; obtain a first ratio of the indoor heat dissipation and the compensated target air volume; obtain a predicted indoor temperature value of the target space according to the sum of the first ratio and the outdoor temperature; the predicted indoor temperature value is positively correlated with the outdoor temperature and the indoor heat dissipation, respectively, and the predicted indoor temperature value is negatively correlated with the compensated target air volume.

8. An indoor temperature prediction device, characterized in that: The device comprises: The first acquisition module is used to obtain the indoor heat dissipation, exhaust temperature, intake temperature and outdoor temperature of the target space; a second acquisition module, configured to acquire a target air volume provided by a HVAC system to the target space according to the indoor heat dissipation, the exhaust temperature, and the intake air temperature; a third acquisition module, configured to acquire a predicted indoor temperature value of the target space according to the outdoor temperature, the indoor heat dissipation, and the target air volume; The compensation module is used to compensate the target air volume according to a preset margin coefficient to obtain the compensated target air volume; wherein, The third acquisition module is also used to obtain a first ratio of the indoor heat dissipation and the compensated target air volume; based on the sum of the first ratio and the outdoor temperature, obtain the indoor temperature prediction value of the target space; the indoor temperature prediction value is positively correlated with the outdoor temperature and the indoor heat dissipation, respectively, and the indoor temperature prediction value is negatively correlated with the compensated target air volume.

9. A computer device, characterized in that: The method comprises a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the method according to any one of claims 1 to 6 when executing the computer program.

10. A computer-readable storage medium, characterized in that A computer program is stored thereon, and when the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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