Temperature regulation method, system, device, storage medium and program product

Abstract

Embodiments of the present invention provide a temperature control method, system, device, storage medium and program product. In the embodiments of the present invention, when predicting the temperature of a temperature abnormality area, the influence of temperature changes in the surrounding areas on the temperature of the temperature abnormality area is taken into account. Therefore, the predicted temperature obtained in the embodiments of the present invention conforms to the actual situation in the building and is more accurate. In the embodiments of the present invention, when generating a temperature control strategy, all different types of equipment in the temperature abnormality area are taken into account. Temperature control is performed based on the temperature control strategy, and various equipment in the temperature abnormality area can be controlled to participate in temperature control, thereby improving the efficiency of temperature control.

Description

Technical Field

[0001] The present invention relates to the field of smart buildings, and in particular to a temperature adjustment method, system, device, storage medium and program product. Background Art

[0002] With the use of temperature control equipment such as air conditioners, the deployment and control methods of temperature control equipment in buildings such as office buildings, computer rooms, and factories have become one of the main contents of construction and operation and maintenance.

[0003] In the related art, the temperature control equipment is usually centrally controlled according to fixed and uniform parameters. However, in actual use, the actual temperature of each area in the building is different, and the temperature control equipment is not in line with the actual situation. For example, for an unmanned area, the temperature control equipment is still turned on, resulting in a waste of electric energy, and for an area with a high temperature due to sunlight, the temperature control equipment cannot be centrally controlled according to fixed and uniform parameters to adjust the temperature of the area to the ideal temperature.

[0004] Therefore, a new temperature regulation method is urgently needed. Summary of the invention

[0005] In view of the above problems, the embodiments of the present invention provide a temperature adjustment method, system, device, storage medium and program product to overcome the above problems or at least partially solve the above problems.

[0006] According to a first aspect of an embodiment of the present invention, a temperature adjustment method is provided, the method comprising:

[0007] Get the current temperature of multiple areas;

[0008] Determining an abnormal temperature region from among the multiple regions according to the current temperatures of the multiple regions;

[0009] Predicting the predicted temperature of the temperature abnormal area within a preset time according to the correlation between the temperature abnormal area and its surrounding areas, as well as the current temperature and the current temperature change rate of the temperature abnormal area;

[0010] generating a temperature regulation strategy for the temperature abnormality area according to the predicted temperature;

[0011] The temperature adjustment strategy is sent to the device in the temperature abnormality area so that the device executes the temperature adjustment strategy.

[0012] Optionally, determining a temperature abnormality region from the multiple regions according to respective current temperatures of the multiple regions includes:

[0013] Obtaining the current temperature and the current temperature change rate of each of the plurality of regions;

[0014] According to the current temperatures and current temperature change rates of the multiple regions respectively, the region whose current temperature is greater than the first preset temperature and whose current temperature change rate is greater than the first preset change rate is determined as the temperature abnormality region.

[0015] Optionally, obtaining the current temperature and the current temperature change rate of each of the multiple regions includes:

[0016] Obtaining the temperature monitored by each temperature monitoring device at each time, wherein each temperature monitoring device is distributed in the plurality of areas;

[0017] Determine the current temperature and the current temperature change rate corresponding to each temperature monitoring device according to the temperature monitored by each temperature monitoring device at each time;

[0018] According to the areas where the temperature monitoring devices are located, current temperatures and current temperature change rates of the multiple areas are determined.

[0019] Optionally, the correlation between the abnormal temperature region and its surrounding area is: a preset first correlation between the abnormal temperature region and its related area, and the related area is determined according to the following steps:

[0020] Obtain the temperature and temperature change rate of all surrounding areas within the temperature influence range centered on the temperature anomaly area;

[0021] The area in the surrounding area where the temperature changes with the temperature of the temperature abnormal area and the temperature change rate is greater than the second preset change rate is determined as the relevant area.

[0022] Optionally, predicting the predicted temperature of the temperature abnormal region within a preset time according to the correlation between the temperature abnormal region and its surrounding areas, and the current temperature and the current temperature change rate of the temperature abnormal region, includes:

[0023] Determining an actual temperature change rate of the relevant area according to the current temperature change rate of the temperature abnormal area, the first correlation, and the current temperature change rate of the relevant area;

[0024] Determining the actual temperature change rate of the temperature abnormal area according to the current temperature change rate of the temperature abnormal area and the actual temperature change rate of the related area;

[0025] According to the actual temperature change rate of the temperature abnormal area and the current temperature of the temperature abnormal area, the predicted temperature of the temperature abnormal area within a preset time is predicted.

[0026] Optionally, the method further comprises:

[0027] Obtaining the current active number and the historical active number of operating equipment in the temperature abnormality area, wherein the operating equipment is equipment other than the temperature regulating equipment;

[0028] Predicting the predicted active number of the temperature abnormal area within the preset time according to the current active number and the historical active number;

[0029] Generating a temperature adjustment strategy for the temperature abnormality area according to the predicted temperature, including:

[0030] The operating parameters of the operating equipment in the temperature abnormality area are set according to the predicted temperature and the predicted active quantity.

[0031] Optionally, setting the operating parameters of the operating equipment in the temperature abnormality area according to the predicted temperature and the predicted active quantity includes:

[0032] When the predicted temperature is greater than or equal to the second preset temperature and the predicted active number is less than the device number threshold, setting the operating equipment in the temperature abnormal area to maintain the current operating parameters unchanged;

[0033] When the predicted temperature is greater than or equal to the second preset temperature, and the predicted active number is greater than or equal to the device number threshold, setting the operating parameters of the operating equipment in the temperature abnormality area to low power consumption operating parameters;

[0034] When the predicted temperature is lower than the second preset temperature and the predicted active number is greater than or equal to the device number threshold, setting the operating equipment in the temperature abnormal area to maintain current operating parameters unchanged;

[0035] When the predicted temperature is lower than the second preset temperature and the predicted active number is lower than the device number threshold, the operating parameters of the operating equipment in the temperature abnormality area are set to high power consumption operating parameters.

[0036] Optionally, the method further comprises:

[0037] Obtaining the current number of people and the historical number of people in the temperature abnormality area;

[0038] According to the current number of personnel and the historical number of personnel, and the personnel flow information in the temperature abnormality area, predict the predicted number of personnel in the temperature abnormality area within the preset time;

[0039] Generating a temperature adjustment strategy for the temperature abnormality area according to the predicted temperature, including:

[0040] The operating parameters of the temperature regulating equipment in the temperature abnormality area are set according to the predicted temperature and the predicted number of personnel.

[0041] Optionally, setting the operating parameters of the temperature regulating equipment in the temperature abnormality area according to the predicted temperature and the predicted number of personnel includes:

[0042] When the predicted number of personnel is less than the personnel number threshold and the predicted temperature is less than a third preset temperature, setting the temperature regulating device in the temperature abnormality area to maintain the current operating parameters unchanged;

[0043] When the predicted number of personnel is greater than or equal to the threshold number of personnel, and the predicted temperature is less than the third preset temperature, the ventilation parameter value of the temperature regulating device in the temperature abnormality area is set to be greater than the current ventilation parameter value, and the temperature control parameter value maintains the current temperature control parameter value unchanged, and the temperature control parameter value is: a cooling parameter value or a heating parameter value;

[0044] When the predicted number of personnel is less than the personnel number threshold and the predicted temperature is greater than or equal to the third preset temperature, setting the temperature regulating device in the temperature abnormality area to maintain the current operating parameters unchanged;

[0045] When the predicted number of personnel is greater than the personnel number threshold and the predicted temperature is greater than or equal to the third preset temperature, the ventilation parameter value of the temperature regulating equipment in the temperature abnormality area is set to be greater than the current ventilation parameter value, and the cooling parameter value is greater than the current cooling parameter value.

[0046] Optionally, the personnel flow information in the temperature abnormality area is determined according to the following steps:

[0047] Monitoring the number of people and the direction of movement of people in the abnormal temperature area, and monitoring the number of people and the direction of movement of people in the surrounding area of ​​the abnormal temperature area;

[0048] According to the number of people in the surrounding area who move to the temperature abnormality area, and the number of people in the temperature abnormality area who move to its surrounding area, the personnel flow information of the temperature abnormality area is determined.

[0049] According to a second aspect of the embodiments of the present invention, a temperature adjustment device is provided, the device comprising:

[0050] The current temperature acquisition module is used to obtain the current temperature of each of the multiple areas;

[0051] a temperature abnormality region determining module, configured to determine a temperature abnormality region from the plurality of regions according to respective current temperatures of the plurality of regions;

[0052] A prediction module, used to predict the predicted temperature of the temperature abnormal area within a preset time according to the correlation between the temperature abnormal area and its surrounding areas, as well as the current temperature and the current temperature change rate of the temperature abnormal area;

[0053] A generating module, used for generating a temperature regulating strategy for the temperature abnormality area according to the predicted temperature;

[0054] The sending module is used to send the temperature adjustment strategy to the device in the temperature abnormality area so that the device executes the temperature adjustment strategy.

[0055] Optionally, the temperature abnormality area determination module includes:

[0056] An obtaining submodule, used to obtain the current temperature and current temperature change rate of each of the plurality of regions;

[0057] The screening submodule is used to screen out regions whose current temperature is greater than a first preset temperature and whose current temperature change rate is greater than the first preset change rate from the multiple regions according to the current temperatures and current temperature change rates of the multiple regions respectively.

[0058] Optionally, the current temperature obtaining module includes:

[0059] An obtaining submodule, used to obtain the temperature monitored by each temperature monitoring device at each time, wherein each temperature monitoring device is distributed in the plurality of areas;

[0060] A first determination submodule, configured to determine the current temperature and the current temperature change rate corresponding to each temperature monitoring device according to the temperature monitored by each temperature monitoring device at each time;

[0061] The second submodule is used to determine the current temperature and the current temperature change rate of each of the multiple areas according to the areas where the temperature monitoring devices are located.

[0062] Optionally, the correlation between the abnormal temperature region and its surrounding area is: a preset first correlation between the abnormal temperature region and its related area, and the related area is determined according to the following steps:

[0063] Obtain the temperature and temperature change rate of all surrounding areas within the temperature influence range centered on the temperature anomaly area;

[0064] The area in the surrounding area where the temperature changes with the temperature of the temperature abnormal area and the temperature change rate is greater than the second preset change rate is determined as the relevant area.

[0065] Optionally, the prediction module includes:

[0066] A first determination submodule, configured to determine an actual temperature change rate of the relevant area according to the current temperature change rate of the temperature abnormal area, the first correlation, and the current temperature change rate of the relevant area;

[0067] A second determination submodule, configured to determine an actual temperature change rate of the temperature abnormal area according to a current temperature change rate of the temperature abnormal area and an actual temperature change rate of the related area;

[0068] The prediction submodule is used to predict the predicted temperature of the temperature abnormal area within a preset time according to the actual temperature change rate of the temperature abnormal area and the current temperature of the temperature abnormal area.

[0069] Optionally, the device further comprises:

[0070] An equipment quantity acquisition module, used to obtain the current active quantity and historical active quantity of operating equipment in the temperature abnormality area, wherein the operating equipment refers to equipment other than the temperature regulating equipment;

[0071] An active quantity prediction module, used for predicting the predicted active quantity of the temperature abnormal area within the preset time according to the current active quantity and the historical active quantity;

[0072] The generating module comprises:

[0073] The first setting submodule is used to set the operating parameters of the operating equipment in the temperature abnormality area according to the predicted temperature and the predicted active quantity.

[0074] Optionally, the first setting submodule is specifically used to:

[0075] When the predicted temperature is greater than or equal to the second preset temperature and the predicted active number is less than the device number threshold, setting the operating equipment in the temperature abnormal area to maintain the current operating parameters unchanged;

[0076] When the predicted temperature is greater than or equal to the second preset temperature, and the predicted active number is greater than or equal to the device number threshold, setting the operating parameters of the operating equipment in the temperature abnormality area to low power consumption operating parameters;

[0077] When the predicted temperature is lower than the second preset temperature and the predicted active number is greater than or equal to the device number threshold, setting the operating equipment in the temperature abnormal area to maintain current operating parameters unchanged;

[0078] When the predicted temperature is lower than the second preset temperature and the predicted active number is lower than the device number threshold, the operating parameters of the operating equipment in the temperature abnormality area are set to high power consumption operating parameters.

[0079] Optionally, the device further comprises:

[0080] A personnel number acquisition module is used to obtain the current number of personnel and the historical number of personnel in the temperature abnormality area;

[0081] A personnel quantity prediction module, used to predict the predicted number of personnel in the temperature abnormality area within the preset time according to the current number of personnel and the historical number of personnel and the personnel flow information in the temperature abnormality area;

[0082] The generating module comprises:

[0083] The second setting submodule is used to set the operating parameters of the temperature regulating equipment in the temperature abnormality area according to the predicted temperature and the predicted number of personnel.

[0084] Optionally, the second setting submodule is specifically used to:

[0085] When the predicted number of personnel is less than the personnel number threshold and the predicted temperature is less than a third preset temperature, setting the temperature regulating device in the temperature abnormality area to maintain the current operating parameters unchanged;

[0086] When the predicted number of personnel is greater than or equal to the threshold number of personnel, and the predicted temperature is less than the third preset temperature, the ventilation parameter value of the temperature regulating device in the temperature abnormality area is set to be greater than the current ventilation parameter value, and the temperature control parameter value maintains the current temperature control parameter value unchanged, and the temperature control parameter value is: a cooling parameter value or a heating parameter value;

[0087] When the predicted number of personnel is less than the personnel number threshold and the predicted temperature is greater than or equal to the third preset temperature, setting the temperature regulating device in the temperature abnormality area to maintain the current operating parameters unchanged;

[0088] When the predicted number of personnel is greater than the personnel number threshold and the predicted temperature is greater than or equal to the third preset temperature, the ventilation parameter value of the temperature regulating equipment in the temperature abnormality area is set to be greater than the current ventilation parameter value, and the cooling parameter value is greater than the current cooling parameter value.

[0089] Optionally, the personnel flow information in the temperature abnormality area is determined according to the following steps:

[0090] Monitoring the number of people and the direction of movement of people in the abnormal temperature area, and monitoring the number of people and the direction of movement of people in the surrounding area of ​​the abnormal temperature area;

[0091] According to the number of people in the surrounding area who move to the temperature abnormality area, and the number of people in the temperature abnormality area who move to its surrounding area, the personnel flow information of the temperature abnormality area is determined.

[0092] According to a third aspect of the embodiments of the present invention, a temperature adjustment system is provided, the system comprising:

[0093] Multiple temperature monitoring devices are distributed in multiple areas to monitor the temperature of the area at each time;

[0094] The temperature control server is used to: obtain the current temperature of each of the multiple areas; determine the temperature abnormal area from the multiple areas according to the current temperature of each of the multiple areas; predict the predicted temperature of the temperature abnormal area within a preset time according to the correlation between the temperature abnormal area and its surrounding areas, as well as the current temperature and current temperature change rate of the temperature abnormal area; generate a temperature adjustment strategy for the temperature abnormal area according to the predicted temperature;

[0095] Temperature regulating equipment and / or operating equipment, used to implement the temperature regulating strategy;

[0096] Facial recognition devices are distributed in multiple areas and are used to monitor the number of people and the direction of their movement in the area.

[0097] According to a fourth aspect of an embodiment of the present invention, there is provided an electronic device, including:

[0098] A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor is configured to: execute any one of the temperature regulation methods described in the first aspect above.

[0099] According to a fifth aspect of the embodiments of the present invention, a computer-readable storage medium is provided, wherein a computer program stored in the medium enables a processor to execute any one of the temperature adjustment methods described in the first aspect.

[0100] According to a sixth aspect of an embodiment of the present invention, a computer program product is provided, comprising a computer program / instruction, which, when executed by a processor, implements any one of the temperature adjustment methods described in the first aspect above.

[0101] In an embodiment of the present invention, the predicted temperature of the temperature abnormality area within a preset time is predicted based on the correlation between the temperature abnormality area and its surrounding areas, as well as the current temperature and current temperature change rate of the temperature abnormality area; based on the predicted temperature, a temperature adjustment strategy for the temperature abnormality area is generated, and the temperature adjustment strategy is sent to the equipment in the temperature abnormality area so that the equipment executes the temperature adjustment strategy. In an embodiment of the present invention, when predicting the temperature of the temperature abnormality area, the influence of the temperature change of its surrounding areas on the temperature of the temperature abnormality area is taken into account. Therefore, the predicted temperature obtained in the embodiment of the present invention conforms to the actual situation in the building and is more accurate. In an embodiment of the present invention, when generating the temperature adjustment strategy, all different types of equipment in the temperature abnormality area are taken into account. Temperature adjustment is performed based on the temperature adjustment strategy, and various equipment in the temperature abnormality area can be controlled to participate in temperature adjustment, thereby improving the efficiency of temperature adjustment. BRIEF DESCRIPTION OF THE DRAWINGS

[0102] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments of the present invention will be briefly introduced below. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative labor.

[0103] Figure 1 is a flow chart of steps of a temperature adjustment method in an embodiment of the present invention;

[0104] Figure 2 is a flow chart of steps of another temperature adjustment method in an embodiment of the present invention;

[0105] Figure 3 is a flow chart of steps of another temperature adjustment method in an embodiment of the present invention;

[0106] Figure 4 is a flow chart of steps of another temperature adjustment method in an embodiment of the present invention;

[0107] Figure 5 is a structural schematic diagram of a temperature adjustment device according to an embodiment of the present invention;

[0108] Figure 6 It is a structural schematic diagram of a temperature adjustment system according to an embodiment of the present invention. DETAILED DESCRIPTION

[0109] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the present invention is further described in detail below with reference to the accompanying drawings and specific embodiments.

[0110] The temperature changes between various areas in a building have mutual influences. Based on this, the present invention proposes an inventive concept: the temperature of various areas in a building is adjusted on the basis of considering the correlation between the areas.

[0111] Based on the inventive concept, the embodiment of the present invention proposes a temperature adjustment method, referring to Figure 1 As shown, Figure 1 A step flow chart of a temperature regulation method in an embodiment of the present invention is shown. The method is applied to a temperature control server, and the temperature control server can be configured to control the temperature of each area in a building, including: processing the temperature collected by each temperature monitoring device to obtain the temperature and temperature change rate of each area, and analyzing the processed temperature and change rate of each area to generate a temperature regulation strategy for the temperature abnormal area.

[0112] The method comprises the following steps:

[0113] S101, obtaining the current temperature of each of the plurality of regions.

[0114] In the embodiment of the present invention, the physical space in the building can be divided into multiple areas, for example, one room is one area. The building can also be divided into grids according to the size of the pre-equipped space to obtain multiple areas, for example, every 25 square meters is one area.

[0115] In the embodiment of the present invention, one or more temperature monitoring devices may be arranged in each area to monitor the temperature of the area.

[0116] In the embodiment of the present invention, the temperature detection device can monitor the temperature at each monitoring time according to the monitoring cycle. In the embodiment of the present invention, the temperature monitoring device can also continuously collect the current temperature in real time.

[0117] S102: determining a temperature abnormality region from among the multiple regions according to respective current temperatures of the multiple regions.

[0118] In the embodiment of the present invention, the temperature abnormal area refers to: the temperature is too high or too low, or the temperature changes greatly. Specifically, corresponding thresholds can be set for judgment, such as: low temperature threshold, high temperature threshold, and change rate threshold.

[0119] S103: predicting the predicted temperature of the temperature abnormality region within a preset time according to the correlation between the temperature abnormality region and its surrounding areas, as well as the current temperature and the current temperature change rate of the temperature abnormality region.

[0120] In the embodiment of the present invention, the correlation between the temperature abnormal region and its surrounding regions can reflect the degree of influence of the temperature change of the surrounding regions on the temperature of the temperature abnormal region.

[0121] In the embodiment of the present invention, after the current temperatures of the multiple regions are determined, the temperature change rates of the multiple regions can be determined. Thus, the temperature of the temperature abnormal region within a preset time can be predicted based on the current temperature of the temperature abnormal region, the current temperature change rate, and the correlation between the temperature abnormal region and its surrounding areas.

[0122] S104: Generate a temperature adjustment strategy for the temperature abnormality area according to the predicted temperature.

[0123] In the embodiment of the present invention, the purpose of the temperature adjustment strategy is to adjust the temperature of the temperature abnormality area to reach a preset ideal temperature.

[0124] S105: Send the temperature adjustment strategy to the device in the temperature abnormality area, so that the device executes the temperature adjustment strategy.

[0125] In the embodiment of the present invention, the equipment may include: operating equipment (host, mechanical equipment, etc.), temperature adjustment equipment (for example: air conditioner, exhaust fan, etc.).

[0126] In the embodiment of the present invention, the temperature adjustment strategy may include the adjustment of the temperature adjustment device, for example, setting the air conditioner cooling power to increase to reduce the temperature of the temperature abnormal area. The temperature adjustment strategy may also include the adjustment of the operating equipment, for example, reducing the power of the equipment host to reduce its heat generation and reduce the temperature of the temperature abnormal area.

[0127] In an embodiment of the present invention, when predicting the temperature of a temperature abnormality area, the influence of temperature changes in the surrounding areas on the temperature of the temperature abnormality area is taken into account. Therefore, the predicted temperature obtained in the embodiment of the present invention conforms to the actual situation in the building and is more accurate. In an embodiment of the present invention, when generating a temperature adjustment strategy, all different types of equipment in the temperature abnormality area are taken into account. Temperature adjustment is performed based on the temperature adjustment strategy, and various equipment in the temperature abnormality area can be controlled to participate in temperature adjustment, thereby improving the efficiency of temperature adjustment.

[0128] The embodiment of the present invention also provides another temperature adjustment method, referring to Figure 2 As shown, Figure 2 A flowchart of another temperature adjustment method in an embodiment of the present invention is shown. The method is applied to a temperature control server and includes the following steps:

[0129] S201, obtaining the temperature monitored by each temperature monitoring device at each time, wherein each temperature monitoring device is distributed in the multiple areas.

[0130] S202: Determine the current temperature and current temperature change rate corresponding to each temperature monitoring device according to the temperature monitored by each temperature monitoring device at each time.

[0131] In the embodiment of the present invention, the temperature change rate may be determined by the current temperature and the temperature detected at the last moment, or may be determined by the change trend of the temperature monitored within a preset time period.

[0132] S203: Determine the current temperature and the current temperature change rate of each of the plurality of areas according to the areas where each of the temperature monitoring devices is located.

[0133] In an embodiment of the present invention, a plurality of temperature monitoring devices may be arranged in an area. The temperature values ​​respectively monitored by the plurality of temperature monitoring devices may be averaged to obtain the temperature of the current area. Alternatively, the temperature values ​​respectively monitored by the plurality of temperature monitoring devices may be weighted averaged according to the distances between the plurality of temperature monitoring devices and the center of the area to obtain the temperature of the current area.

[0134] In the embodiment of the present invention, the method for determining the current temperature change rate of each area can be determined by referring to the aforementioned method for determining the temperature change rate after determining the temperature of the current area. It can also be determined by referring to the aforementioned method for determining the temperature of the current area (for example, the average method or the weighted average method) after determining the temperature change rate monitored by each temperature detection device.

[0135] S204, according to the current temperatures and current temperature change rates of the multiple regions respectively, determining, among the multiple regions, a region whose current temperature is greater than a first preset temperature and whose current temperature change rate is greater than the first preset change rate as the temperature abnormality region.

[0136] In the embodiment of the present invention, when the temperature of a certain area exceeds the first preset temperature and the temperature change rate of the area exceeds the first preset change rate, it indicates that abnormal temperature rise occurs in the area and temperature adjustment is required.

[0137] S205: Determine the correlation between the abnormal temperature area and its surrounding areas.

[0138] The correlation between the abnormal temperature region and its surrounding areas is: a preset first correlation between the abnormal temperature region and its related areas.

[0139] In the embodiment of the present invention, the first correlation is a value between zero and one, which can be preset in advance by a technician.

[0140] In the embodiment of the present invention, the relevant area is determined according to the following steps:

[0141] S2051, obtaining the temperature and temperature change rate of all surrounding areas within the temperature influence range centered on the temperature abnormal area.

[0142] S2052: Determine, as the relevant area, an area in which the temperature of the surrounding area changes with the temperature of the temperature abnormal area and the temperature change rate is greater than a second preset change rate.

[0143] In an embodiment of the present invention, in the surrounding area of ​​the temperature abnormality area, when the temperature change of a certain area changes with the temperature change of the abnormal area, it indicates that the area is associated with the temperature abnormality area, and accordingly, the temperature change of the area will also affect the temperature change of the temperature abnormality area. Further, if the temperature change rate of the area is high, it will have a greater impact on the temperature change of the temperature abnormality area.

[0144] Therefore, in the embodiment of the present invention, in the surrounding area of ​​the temperature abnormality area, the area whose temperature changes with the temperature of the temperature abnormality area and whose temperature change rate is greater than the second preset change rate is determined as the relevant area.

[0145] S206: predicting the predicted temperature of the temperature abnormality region within a preset time according to the correlation between the temperature abnormality region and its surrounding areas, as well as the current temperature and the current temperature change rate of the temperature abnormality region.

[0146] Specifically, the above step S206 includes:

[0147] S2061: Determine an actual temperature change rate of the relevant area according to the current temperature change rate of the temperature abnormal area, the first correlation, and the current temperature change rate of the relevant area.

[0148] In an embodiment of the present invention, the actual temperature change rate of the relevant area is affected by the temperature change rate of the temperature abnormal area. Therefore, when determining the actual temperature change rate of the relevant area, it is necessary to take into account the correlation between it and the temperature abnormal area and the change rate of the temperature abnormal area. For example, it can be expressed as: when the actual temperature change rate of the relevant area = the current temperature change rate of the temperature abnormal area * the first correlation + the temperature change rate of the relevant area.

[0149] S2062: Determine the actual temperature change rate of the temperature abnormal area according to the current temperature change rate of the temperature abnormal area and the actual temperature change rate of the related area.

[0150] In an embodiment of the present invention, the actual temperature change rate of the temperature abnormality area is also affected by the actual temperature change rate of the related area. Therefore, in this embodiment, the actual temperature change rate of the temperature abnormality area can be further determined based on the current temperature change rate of the temperature abnormality area and the actual temperature change rate of the related area. For example, it can be expressed as: the actual temperature change rate of the temperature abnormality area = (actual temperature change rate of the related area * first correlation) / n + current temperature change rate of the temperature abnormality area; wherein n is the number of related areas.

[0151] S2063: predicting a predicted temperature of the temperature abnormality region within a preset time according to the actual temperature change rate of the temperature abnormality region and the current temperature of the temperature abnormality region.

[0152] For example, it can be expressed as: predicted temperature=actual temperature change rate*preset time+current temperature of the temperature abnormality area.

[0153] S207: Generate a temperature adjustment strategy for the temperature abnormality area according to the predicted temperature.

[0154] S208: Send the temperature adjustment strategy to the device in the temperature abnormality area, so that the device executes the temperature adjustment strategy.

[0155] The steps S207-S208 are similar to the above steps S104-S105 and will not be described in detail here.

[0156] The embodiment of the present invention also provides another temperature adjustment method, referring to Figure 3 As shown, Figure 3 A flowchart of another temperature adjustment method in an embodiment of the present invention is shown. The method is applied to a temperature control server and includes the following steps:

[0157] S301, obtaining the current temperature of each of the plurality of regions.

[0158] S302: determining a temperature abnormality region from among the multiple regions according to respective current temperatures of the multiple regions.

[0159] S303: predicting the predicted temperature of the temperature abnormality region within a preset time according to the correlation between the temperature abnormality region and its surrounding areas, as well as the current temperature and the current temperature change rate of the temperature abnormality region.

[0160] The steps S301-S303 are similar to the above steps S101-S103, or similar to the above steps S201-S206, and are not described in detail in the embodiment of the present invention.

[0161] S304, obtaining the current active number and the historical active number of the operating equipment in the temperature abnormality area, wherein the operating equipment refers to equipment other than the temperature regulating equipment.

[0162] The temperature adjustment method provided by the embodiment of the present invention can be applied to buildings such as computer rooms and factory areas where there are a large number of operating equipment (for example, main machines, mechanical equipment, etc.).

[0163] Therefore, in the embodiment of the present invention, when generating the temperature adjustment strategy, the state of the operating equipment in the temperature abnormality area may also be considered, wherein the active operating equipment indicates that the operating equipment is in a working state.

[0164] S305: predicting the predicted active number of the temperature abnormal area within the preset time according to the current active number and the historical active number.

[0165] In an embodiment of the present invention, the current active number and the historical active number of the operating equipment can be combined to predict the predicted active number of the temperature abnormal area within the preset time. For example, the average value of the two is taken as the predicted active number, or the higher value of the two is taken as the predicted active number, or the predicted active number = the current active number + the historical active number / 2.

[0166] S306: Setting operating parameters of operating equipment in the temperature abnormality area according to the predicted temperature and the predicted active quantity.

[0167] In the embodiment of the present invention, while the temperature of the temperature abnormality area is adjusted by the temperature adjustment device, the operating equipment in the temperature abnormality area can also be adjusted to complete the temperature adjustment more efficiently and ensure the normal operating environment of the operating equipment.

[0168] Specifically, the step S306 includes:

[0169] When the predicted temperature is greater than or equal to the second preset temperature and the predicted active number is less than the device number threshold, setting the operating equipment in the temperature abnormal area to maintain the current operating parameters unchanged;

[0170] When the predicted temperature is greater than or equal to the second preset temperature, and the predicted active number is greater than or equal to the device number threshold, setting the operating parameters of the operating equipment in the temperature abnormality area to low power consumption operating parameters;

[0171] When the predicted temperature is lower than the second preset temperature and the predicted active number is greater than or equal to the device number threshold, setting the operating equipment in the temperature abnormal area to maintain current operating parameters unchanged;

[0172] When the predicted temperature is lower than the second preset temperature and the predicted active number is lower than the device number threshold, the operating parameters of the operating equipment in the temperature abnormality area are set to high power consumption operating parameters.

[0173] In the embodiment of the present invention, when the predicted temperature of the temperature abnormality area is high and there are fewer active devices, and when the preset temperature of the temperature abnormality area is low and there are more active devices, the parameters of the operating equipment may not be adjusted, and the temperature of the temperature abnormality area may be adjusted only by the temperature regulating device. When the predicted temperature of the temperature abnormality area is high and there are more active devices, the operating parameters of the operating equipment in the temperature abnormality area may be controlled to be low power consumption operating parameters to achieve rapid adjustment of the temperature abnormality area. When the predicted temperature of the temperature abnormality area is low and there are fewer active devices, the operating parameters of the operating equipment in the temperature abnormality area may be controlled to be high power consumption operating parameters to improve the working efficiency of the operating equipment.

[0174] S307: Send the temperature adjustment strategy to the device in the temperature abnormality area, so that the device executes the temperature adjustment strategy.

[0175] In the embodiment of the present invention, when adjusting the temperature of the temperature abnormality area, the operating conditions of the operating equipment in the temperature abnormality area are taken into consideration. When the temperature is high and there are many active devices, the operating parameters of the operating equipment are set to low-power operating parameters. This can avoid excessive temperatures in the active areas of the operating equipment. Further, the temperature can be adjusted in conjunction with the temperature adjustment device to improve the efficiency of temperature adjustment.

[0176] The embodiment of the present invention also provides another temperature adjustment method, referring to Figure 4 As shown, Figure 4 A flowchart of another temperature adjustment method in an embodiment of the present invention is shown. The method is applied to a temperature control server and includes the following steps:

[0177] S401, obtaining the current temperature of each of the plurality of zones.

[0178] S402: determining a temperature abnormality region from among the multiple regions according to respective current temperatures of the multiple regions.

[0179] S403: predicting the predicted temperature of the temperature abnormality region within a preset time according to the correlation between the temperature abnormality region and its surrounding areas, as well as the current temperature and the current temperature change rate of the temperature abnormality region.

[0180] The steps S401-S403 are similar to the above steps S101-S103, or similar to the above steps S201-S206, and are not described in detail in the embodiment of the present invention.

[0181] S404, obtaining the current number of people and the historical number of people in the temperature abnormality area.

[0182] The temperature adjustment method provided by the embodiment of the present invention can be applied to buildings with a large number of people, such as shopping malls and office buildings.

[0183] Therefore, in the embodiment of the present invention, when generating a temperature adjustment strategy, the distribution of people in the temperature abnormality area may also be considered.

[0184] S405: predicting the number of people in the temperature abnormality area within the preset time according to the current number of people and the historical number of people, and the personnel flow information in the temperature abnormality area.

[0185] In the embodiment of the present invention, considering that within a preset time, people in the temperature abnormality area may move to the surrounding areas, and people in the surrounding areas may also move to the temperature abnormality area, therefore, in the embodiment of the present invention, personnel flow information is also considered when predicting the number of people.

[0186] For example, in an embodiment of the present invention, the method for predicting the number of people may be: predicted number of people in the temperature abnormality area within a preset time = current number of people + personnel flow information + (historical number of people - current personnel flow information - personnel flow information) / 2.

[0187] The personnel flow information in the temperature abnormality area is determined according to the following steps:

[0188] S4051, monitoring the number of people and the moving direction of people in the temperature abnormality area, and monitoring the number of people and the moving direction of people in the surrounding area of ​​the temperature abnormality area.

[0189] S4052: Determine personnel flow information of the temperature abnormality area according to the number of personnel in the surrounding area who move to the temperature abnormality area and the number of personnel in the temperature abnormality area who move to the surrounding area.

[0190] In the embodiment of the present invention, a device that can monitor the activity information of personnel, such as a face monitoring device or an infrared monitoring device, can be used to monitor the number of personnel and the direction of movement of personnel.

[0191] For example, if the face monitoring device detects that 6 people in the temperature abnormality area are moving toward the surrounding area, and there are a total of 10 people in the surrounding area moving toward the temperature abnormality area, then the personnel flow information can be determined to be 4. Assuming that the face monitoring device detects that 6 people in the temperature abnormality area are moving toward the surrounding area, and there are a total of 3 people in the surrounding area moving toward the temperature abnormality area, then the personnel flow information can be determined to be -3.

[0192] S406: Setting operating parameters of the temperature regulating equipment in the temperature abnormality area according to the predicted temperature and the predicted number of personnel.

[0193] Specifically, it includes: when the predicted number of people is less than the threshold number of people, and the predicted temperature is less than the third preset temperature, setting the temperature regulating device in the temperature abnormal area to maintain the current operating parameters unchanged;

[0194] When the predicted number of personnel is greater than or equal to the threshold number of personnel, and the predicted temperature is less than the third preset temperature, the ventilation parameter value of the temperature regulating device in the temperature abnormality area is set to be greater than the current ventilation parameter value, and the temperature control parameter value maintains the current temperature control parameter value unchanged, and the temperature control parameter value is: a cooling parameter value or a heating parameter value;

[0195] When the predicted number of personnel is less than the personnel number threshold and the predicted temperature is greater than or equal to the third preset temperature, setting the temperature regulating device in the temperature abnormality area to maintain the current operating parameters unchanged;

[0196] When the predicted number of personnel is greater than the personnel number threshold and the predicted temperature is greater than or equal to the third preset temperature, the ventilation parameter value of the temperature regulating equipment in the temperature abnormality area is set to be greater than the current ventilation parameter value, and the cooling parameter value is greater than the current cooling parameter value.

[0197] In the embodiment of the present invention, when the predicted temperature in the temperature abnormality area is low and the number of people is small, and when the preset temperature in the temperature abnormality area is low and the number of people is large, the parameters of the temperature regulating device may not be adjusted. When the predicted temperature in the temperature abnormality area is high and the number of people is large, the temperature regulating device is controlled to increase the ventilation parameters and the cooling parameters to ventilate and cool the temperature abnormality area and improve the environment of the area. When the predicted temperature in the temperature abnormality area is low and the number of people is large, the temperature control parameters of the temperature regulating device may not be adjusted, and only the ventilation parameters may be increased, so that the environment of the area can be improved in an economical and energy-saving manner.

[0198] S407: Send the temperature adjustment strategy to the device in the temperature abnormality area, so that the device executes the temperature adjustment strategy.

[0199] In the embodiment of the present invention, when adjusting the temperature of the temperature abnormal area, the gathering of people in the temperature abnormal area is taken into consideration. For areas with fewer people, unnecessary power loss of temperature adjustment equipment is reduced, thereby saving energy.

[0200] Optionally, in an embodiment of the present invention, the operating status of the operating equipment and the gathering of personnel can also be considered simultaneously to generate a temperature adjustment strategy for the temperature abnormality area (including control of the operating status of the operating equipment and control of the temperature adjustment equipment) to adjust the temperature of the temperature abnormality area.

[0201] The present invention also provides a temperature adjustment device, referring to Figure 5 , showing a schematic diagram of a temperature regulating device, the device comprising:

[0202] The current temperature obtaining module 501 is used to obtain the current temperature of each of the multiple areas;

[0203] The temperature abnormality region determining module 502 is used to determine the temperature abnormality region from the multiple regions according to the current temperatures of the multiple regions;

[0204] A prediction module 503 is used to predict the predicted temperature of the temperature abnormal area within a preset time according to the correlation between the temperature abnormal area and its surrounding areas, as well as the current temperature and the current temperature change rate of the temperature abnormal area;

[0205] A generating module 504, configured to generate a temperature regulating strategy for the temperature abnormality area according to the predicted temperature;

[0206] The sending module 505 is used to send the temperature adjustment strategy to the device in the temperature abnormality area, so that the device executes the temperature adjustment strategy.

[0207] Optionally, the temperature abnormality area determination module includes:

[0208] An obtaining submodule, used to obtain the current temperature and current temperature change rate of each of the plurality of regions;

[0209] The screening submodule is used to screen out regions whose current temperature is greater than a first preset temperature and whose current temperature change rate is greater than the first preset change rate from the multiple regions according to the current temperatures and current temperature change rates of the multiple regions respectively.

[0210] Optionally, the current temperature obtaining module includes:

[0211] An obtaining submodule, used to obtain the temperature monitored by each temperature monitoring device at each time, wherein each temperature monitoring device is distributed in the plurality of areas;

[0212] A first determination submodule, configured to determine the current temperature and the current temperature change rate corresponding to each temperature monitoring device according to the temperature monitored by each temperature monitoring device at each time;

[0213] The second submodule is used to determine the current temperature and the current temperature change rate of each of the multiple areas according to the areas where the temperature monitoring devices are located.

[0214] Optionally, the correlation between the abnormal temperature region and its surrounding area is: a preset first correlation between the abnormal temperature region and its related area, and the related area is determined according to the following steps:

[0215] Obtain the temperature and temperature change rate of all surrounding areas within the temperature influence range centered on the temperature anomaly area;

[0216] The area in the surrounding area where the temperature changes with the temperature of the temperature abnormal area and the temperature change rate is greater than the second preset change rate is determined as the relevant area.

[0217] Optionally, the prediction module includes:

[0218] A first determination submodule, configured to determine an actual temperature change rate of the relevant area according to the current temperature change rate of the temperature abnormal area, the first correlation, and the current temperature change rate of the relevant area;

[0219] A second determination submodule, configured to determine an actual temperature change rate of the temperature abnormal area according to a current temperature change rate of the temperature abnormal area and an actual temperature change rate of the related area;

[0220] The prediction submodule is used to predict the predicted temperature of the temperature abnormal area within a preset time according to the actual temperature change rate of the temperature abnormal area and the current temperature of the temperature abnormal area.

[0221] Optionally, the device further comprises:

[0222] An equipment quantity acquisition module, used to obtain the current active quantity and historical active quantity of operating equipment in the temperature abnormality area, wherein the operating equipment refers to equipment other than the temperature regulating equipment;

[0223] An active quantity prediction module, used for predicting the predicted active quantity of the temperature abnormal area within the preset time according to the current active quantity and the historical active quantity;

[0224] The generating module comprises:

[0225] The first setting submodule is used to set the operating parameters of the operating equipment in the temperature abnormality area according to the predicted temperature and the predicted active quantity.

[0226] Optionally, the first setting submodule is specifically used to:

[0227] When the predicted temperature is greater than or equal to the second preset temperature and the predicted active number is less than the device number threshold, setting the operating equipment in the temperature abnormal area to maintain the current operating parameters unchanged;

[0228] When the predicted temperature is greater than or equal to the second preset temperature, and the predicted active number is greater than or equal to the device number threshold, setting the operating parameters of the operating equipment in the temperature abnormality area to low power consumption operating parameters;

[0229] When the predicted temperature is lower than the second preset temperature and the predicted active number is greater than or equal to the device number threshold, setting the operating equipment in the temperature abnormal area to maintain current operating parameters unchanged;

[0230] When the predicted temperature is lower than the second preset temperature and the predicted active number is lower than the device number threshold, the operating parameters of the operating equipment in the temperature abnormality area are set to high power consumption operating parameters.

[0231] Optionally, the device further comprises:

[0232] A personnel number acquisition module is used to obtain the current number of personnel and the historical number of personnel in the temperature abnormality area;

[0233] A personnel quantity prediction module, used to predict the predicted number of personnel in the temperature abnormality area within the preset time according to the current number of personnel and the historical number of personnel and the personnel flow information in the temperature abnormality area;

[0234] The generating module comprises:

[0235] The second setting submodule is used to set the operating parameters of the temperature regulating equipment in the temperature abnormality area according to the predicted temperature and the predicted number of personnel.

[0236] Optionally, the second setting submodule is specifically used to:

[0237] When the predicted number of personnel is less than the personnel number threshold and the predicted temperature is less than a third preset temperature, setting the temperature regulating device in the temperature abnormality area to maintain the current operating parameters unchanged;

[0238] When the predicted number of personnel is greater than or equal to the threshold number of personnel, and the predicted temperature is less than the third preset temperature, the ventilation parameter value of the temperature regulating device in the temperature abnormality area is set to be greater than the current ventilation parameter value, and the temperature control parameter value maintains the current temperature control parameter value unchanged, and the temperature control parameter value is: a cooling parameter value or a heating parameter value;

[0239] When the predicted number of personnel is less than the personnel number threshold and the predicted temperature is greater than or equal to the third preset temperature, setting the temperature regulating device in the temperature abnormality area to maintain the current operating parameters unchanged;

[0240] When the predicted number of personnel is greater than the personnel number threshold and the predicted temperature is greater than or equal to the third preset temperature, the ventilation parameter value of the temperature regulating equipment in the temperature abnormality area is set to be greater than the current ventilation parameter value, and the cooling parameter value is greater than the current cooling parameter value.

[0241] Optionally, the personnel flow information in the temperature abnormality area is determined according to the following steps:

[0242] Monitoring the number of people and the direction of movement of people in the abnormal temperature area, and monitoring the number of people and the direction of movement of people in the surrounding area of ​​the abnormal temperature area;

[0243] According to the number of people in the surrounding area who move to the temperature abnormality area, and the number of people in the temperature abnormality area who move to its surrounding area, the personnel flow information of the temperature abnormality area is determined.

[0244] The present invention also provides a temperature control system. Figure 6 , showing a schematic diagram of a temperature regulation system, the system comprising:

[0245] A plurality of temperature monitoring devices 601, distributed in a plurality of areas, for monitoring the temperature of the area at each time;

[0246] The temperature control server 602 is used to: obtain the current temperature of each of the multiple areas; determine the temperature abnormal area from the multiple areas according to the current temperature of each of the multiple areas; predict the predicted temperature of the temperature abnormal area within a preset time according to the correlation between the temperature abnormal area and its surrounding areas, as well as the current temperature and current temperature change rate of the temperature abnormal area; generate a temperature adjustment strategy for the temperature abnormal area according to the predicted temperature;

[0247] In the embodiment of the present invention, the temperature control server 602 can execute any of the temperature adjustment methods described above.

[0248] Temperature regulating equipment and / or operating equipment 603, used to execute the temperature regulating strategy;

[0249] The face recognition devices 604 are distributed in multiple areas and are used to monitor the number of people and the direction of movement of people in the area.

[0250] An embodiment of the present invention further provides an electronic device, including:

[0251] A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor is configured to: execute the temperature adjustment method as described in any of the above embodiments.

[0252] An embodiment of the present invention further provides a computer-readable storage medium, wherein a computer program stored in the storage medium enables a processor to execute the temperature adjustment method as described in any of the above embodiments.

[0253] An embodiment of the present invention further provides a computer program product, including a computer program / instruction, which implements the temperature adjustment method described in any of the above embodiments when executed by a processor.

[0254] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the various embodiments can be referenced to each other.

[0255] It will be appreciated by those skilled in the art that the embodiments of the present invention may be provided as methods, devices, or computer program products. Therefore, the embodiments of the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the embodiments of the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0256] The embodiments of the present invention are described with reference to the flowcharts and / or block diagrams of the methods, terminal devices (systems), and computer program products according to the embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of the processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing terminal device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing terminal device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0257] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing terminal device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce a manufactured product including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0258] These computer program instructions can also be loaded onto a computer or other programmable data processing terminal device so that a series of operating steps are executed on the computer or other programmable terminal device to produce a computer-implemented process, thereby providing instructions for executing on the computer or other programmable terminal device to implement the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0259] Although the preferred embodiments of the present invention have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the embodiments of the present invention.

[0260] Finally, it should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or terminal device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or terminal device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or terminal device including the elements.

[0261] The temperature control method, system, device, storage medium and program product provided by the present invention are introduced in detail above. Specific examples are used in this article to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea. At the same time, for those skilled in the art, according to the idea of ​​the present invention, there will be changes in the specific implementation method and application scope. In summary, the content of this specification should not be understood as a limitation on the present invention.

Claims

1. A temperature adjustment method, characterized in that: The method comprises: Get the current temperature of multiple areas; Determining an abnormal temperature region from among the multiple regions according to the current temperatures of the multiple regions; Predicting the predicted temperature of the temperature abnormal area within a preset time according to the correlation between the temperature abnormal area and its surrounding areas, as well as the current temperature and the current temperature change rate of the temperature abnormal area; generating a temperature regulation strategy for the temperature abnormality area according to the predicted temperature; Sending the temperature adjustment strategy to the device in the temperature abnormality area so that the device executes the temperature adjustment strategy; Determining an abnormal temperature region from the multiple regions according to the current temperatures of the multiple regions respectively includes: Obtaining the current temperature and the current temperature change rate of each of the plurality of regions; According to the current temperatures and current temperature change rates of the multiple regions, a region among the multiple regions whose current temperature is greater than a first preset temperature and whose current temperature change rate is greater than the first preset change rate is determined as the temperature abnormality region; The correlation between the abnormal temperature region and its surrounding area is: a preset first correlation between the abnormal temperature region and its related area, and the related area is determined according to the following steps: Obtain the temperature and temperature change rate of all surrounding areas within the temperature influence range centered on the temperature anomaly area; The area in the surrounding area where the temperature changes with the temperature of the temperature abnormal area and the temperature change rate is greater than the second preset change rate is determined as the relevant area.

2. The temperature adjustment method according to claim 1, characterized in that: The obtaining of the current temperature and the current temperature change rate of each of the plurality of regions includes: Obtaining the temperature monitored by each temperature monitoring device at each time, wherein each temperature monitoring device is distributed in the plurality of areas; Determine the current temperature and the current temperature change rate corresponding to each temperature monitoring device according to the temperature monitored by each temperature monitoring device at each time; According to the areas where the temperature monitoring devices are located, current temperatures and current temperature change rates of the multiple areas are determined.

3. The temperature adjustment method according to claim 1, characterized in that: According to the correlation between the abnormal temperature region and its surrounding areas, as well as the current temperature and the current temperature change rate of the abnormal temperature region, predicting the predicted temperature of the abnormal temperature region within a preset time includes: Determining an actual temperature change rate of the relevant area according to the current temperature change rate of the temperature abnormal area, the first correlation, and the current temperature change rate of the relevant area; Determining the actual temperature change rate of the temperature abnormal area according to the current temperature change rate of the temperature abnormal area and the actual temperature change rate of the related area; According to the actual temperature change rate of the temperature abnormal area and the current temperature of the temperature abnormal area, the predicted temperature of the temperature abnormal area within a preset time is predicted.

4. The temperature adjustment method according to claim 1, characterized in that: The method further comprises: Obtaining the current active number and the historical active number of operating equipment in the temperature abnormality area, wherein the operating equipment is equipment other than the temperature regulating equipment; Predicting the predicted active number of the temperature abnormal area within the preset time according to the current active number and the historical active number; Generating a temperature adjustment strategy for the temperature abnormality area according to the predicted temperature, including: The operating parameters of the operating equipment in the temperature abnormality area are set according to the predicted temperature and the predicted active quantity.

5. The temperature adjustment method according to claim 4, characterized in that: According to the predicted temperature and the predicted active quantity, setting the operating parameters of the operating equipment in the temperature abnormality area includes: When the predicted temperature is greater than or equal to the second preset temperature and the predicted active number is less than the device number threshold, setting the operating equipment in the temperature abnormal area to maintain the current operating parameters unchanged; When the predicted temperature is greater than or equal to the second preset temperature, and the predicted active number is greater than or equal to the device number threshold, setting the operating parameters of the operating equipment in the temperature abnormality area to low power consumption operating parameters; When the predicted temperature is lower than the second preset temperature and the predicted active number is greater than or equal to the device number threshold, setting the operating equipment in the temperature abnormal area to maintain current operating parameters unchanged; When the predicted temperature is lower than the second preset temperature and the predicted active number is lower than the device number threshold, the operating parameters of the operating equipment in the temperature abnormality area are set to high power consumption operating parameters.

6. The temperature adjustment method according to claim 4 or 5, characterized in that: The method further comprises: Obtaining the current number of people and the historical number of people in the temperature abnormality area; According to the current number of personnel and the historical number of personnel, and the personnel flow information in the temperature abnormality area, predict the predicted number of personnel in the temperature abnormality area within the preset time; Generating a temperature adjustment strategy for the temperature abnormality area according to the predicted temperature, including: The operating parameters of the temperature regulating equipment in the temperature abnormality area are set according to the predicted temperature and the predicted number of personnel.

7. The temperature adjustment method according to claim 6, characterized in that: According to the predicted temperature and the predicted number of personnel, setting the operating parameters of the temperature regulating equipment in the temperature abnormality area includes: When the predicted number of personnel is less than the personnel number threshold and the predicted temperature is less than a third preset temperature, setting the temperature regulating device in the temperature abnormality area to maintain the current operating parameters unchanged; When the predicted number of personnel is greater than or equal to the threshold number of personnel, and the predicted temperature is less than the third preset temperature, the ventilation parameter value of the temperature regulating device in the temperature abnormality area is set to be greater than the current ventilation parameter value, and the temperature control parameter value maintains the current temperature control parameter value unchanged, and the temperature control parameter value is: a cooling parameter value or a heating parameter value; When the predicted number of personnel is less than the personnel number threshold and the predicted temperature is greater than or equal to the third preset temperature, setting the temperature regulating device in the temperature abnormality area to maintain the current operating parameters unchanged; When the predicted number of personnel is greater than the personnel number threshold and the predicted temperature is greater than or equal to the third preset temperature, the ventilation parameter value of the temperature regulating equipment in the temperature abnormality area is set to be greater than the current ventilation parameter value, and the cooling parameter value is greater than the current cooling parameter value.

8. The temperature adjustment method according to claim 7, characterized in that: The personnel flow information in the temperature abnormality area is determined according to the following steps: Monitoring the number of people and the direction of movement of people in the abnormal temperature area, and monitoring the number of people and the direction of movement of people in the surrounding area of ​​the abnormal temperature area; According to the number of people in the surrounding area who move to the temperature abnormality area, and the number of people in the temperature abnormality area who move to its surrounding area, the personnel flow information of the temperature abnormality area is determined.

9. A temperature control system, used in the temperature control method according to any one of claims 1 to 8, characterized in that: The system comprises: Multiple temperature monitoring devices are distributed in multiple areas to monitor the temperature of the area at each time; The temperature control server is used to: obtain the current temperature of each of the multiple areas; determine the temperature abnormal area from the multiple areas according to the current temperature of each of the multiple areas; predict the predicted temperature of the temperature abnormal area within a preset time according to the correlation between the temperature abnormal area and its surrounding areas, as well as the current temperature and current temperature change rate of the temperature abnormal area; generate a temperature adjustment strategy for the temperature abnormal area according to the predicted temperature; Temperature regulating equipment and / or operating equipment, used to implement the temperature regulating strategy; Facial recognition devices are distributed in multiple areas and are used to monitor the number of people and the direction of their movement in the area.

10. An electronic device, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor is configured to execute the temperature adjustment method according to any one of claims 1 to 8.

11. A computer-readable storage medium, characterized in that: The computer program stored therein enables the processor to execute the temperature adjustment method according to any one of claims 1 to 8.

12. A computer program product comprising a computer program / instructions, characterized in that When the computer program / instruction is executed by a processor, the temperature adjustment method according to any one of claims 1 to 8 is implemented.

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