A highly efficient and energy-saving intelligent building temperature control management method and system

Abstract

The present invention provides an efficient and energy-saving intelligent building temperature control management method and system, which are used in the field of energy data processing; the present invention judges whether the type of waste energy matches recyclable energy, effectively converts waste energy into reusable energy, recycles and effectively utilizes waste heat, waste gas and waste water, which can not only reduce external energy demand, but also reduce the consumption of traditional energy, thereby achieving energy-saving effects. At the same time, through precise waste energy recovery and utilization, energy waste can be effectively reduced, thereby reducing the energy expenditure of the building. Intelligent monitoring and dynamic adjustment help to ensure the efficient operation of energy storage equipment, avoid excessive operation or uneven load, extend the service life of equipment, reduce the maintenance and replacement frequency of equipment, and flexibly adapt to different waste energy types to ensure that each type of waste energy can be effectively recycled and utilized, thereby improving the versatility and flexibility of the building's energy and being able to cope with changes in different environments and waste energy.

Description

Technical Field

[0001] The present invention relates to the field of energy data processing, and in particular to a highly efficient and energy-saving intelligent building temperature control management method and system. Background Art

[0002] Building automation refers to electrical equipment in buildings, such as elevators, water pumps, fans, air conditioners, etc., whose main working nature is strong electric drive. Usually these devices are in an open working state, that is, no closed loop is formed. As long as the power is turned on, the equipment will work. As for the working status, process, energy consumption, etc., it is impossible to get data online in a timely manner, let alone reasonable use and energy conservation.

[0003] At present, buildings are equipped with many temperature control devices (such as air conditioners, heaters, etc.), and these temperature control devices will generate a large amount of waste heat or other forms of energy during operation. If these waste energies can be effectively recovered and utilized, they can support other energy needs within the building, thereby reducing dependence on external energy. Summary of the invention

[0004] The present invention aims to solve the problem of how to recover and utilize waste energy generated by a temperature control device during its operation, and to provide an efficient and energy-saving intelligent building temperature control management method and system.

[0005] The present invention adopts the following technical means to solve the technical problem:

[0006] The present invention provides a highly efficient and energy-saving intelligent building temperature control management method, comprising:

[0007] Based on a preset temperature control device in the smart building, the waste energy type generated by the temperature control device for the smart building is collected, wherein the waste energy type specifically includes waste heat, waste gas and waste water;

[0008] Determining whether the waste energy type matches the preset recyclable energy of the smart building;

[0009] If so, the preset sensor of the smart building is applied to collect waste energy parameters of waste energy, and the preset temperature control requirements of the smart building for the building area are identified in real time. According to the temperature control requirements, the working mode of the preset energy storage device is dynamically switched to obtain the stored waste energy of the energy storage device, wherein the waste energy parameters specifically include waste energy source, waste energy temperature and waste energy flow, and the working modes specifically include cooling mode, heating mode and mixed mode;

[0010] determining whether the flow path of the stored waste energy matches the corresponding path of the temperature control requirement;

[0011] If a match occurs, the load data of the smart building is obtained, the thermal energy conduction efficiency of the energy storage device is detected according to the load data, and the flow parameters of the stored waste energy are dynamically adjusted based on the thermal energy conduction efficiency, wherein the flow parameters specifically include flow velocity, laminar flow and turbulence.

[0012] Furthermore, the step of dynamically switching the working mode of the preset energy storage device according to the temperature control requirement to obtain the stored waste energy of the energy storage device also includes:

[0013] Based on the waste heat recovered by the energy storage device, identifying the energy characteristics of the waste heat, wherein the energy characteristics specifically include the source of the waste heat, the duration of the waste heat, and the amount of the waste heat;

[0014] Determining whether the energy characteristics match a preset heat load demand of the building area, wherein the heat load demand specifically includes space heating demand and cooling demand;

[0015] If so, the temperature requirement range of the building area is obtained, and the heat output fluctuation value of the waste heat to the building area is generated according to the temperature characteristics of the waste heat. Based on the heat output fluctuation value, the waste energy recovery amount of the building area is dynamically balanced, wherein the temperature characteristics specifically include temperature range, fluctuation conditions and heat release mode.

[0016] Furthermore, before the step of real-time identifying the temperature control requirements preset by the smart building for the building area, the step further includes:

[0017] Based on the preset functional division areas of the building area, detecting the heat load data of the functional division areas, wherein the functional division areas specifically include offices, conference rooms, restaurants, corridors and rest areas, and the heat load data specifically include usage frequency, space size and number of equipment;

[0018] Determining whether the heat load data matches the temperature control requirement;

[0019] If not, the temperature control demand is managed in a hierarchical manner, and the temperature control priority of the functional area is constructed. Based on the temperature control priority, the regional temperature of the functional area is dynamically adjusted using a preset demand response strategy, and the real-time energy demand of the building area is generated according to the regional temperature.

[0020] Furthermore, before the step of obtaining the load data of the smart building, the step further includes:

[0021] Based on the preset collection cycle of the smart building, collect key indicator information of the load data, wherein the key indicator information specifically includes power consumption, equipment operation time, regional temperature and humidity;

[0022] Determining whether the key indicator information matches the load data;

[0023] If possible, the energy waste points of the smart building are identified according to the key indicator information, the corresponding energy efficiency ratio information is calculated based on the energy waste points, and the energy efficiency under different load conditions is generated through the energy efficiency ratio information.

[0024] Furthermore, the step of determining whether the waste energy type matches the recyclable energy preset in the smart building further includes:

[0025] Based on the minimum energy efficiency requirements corresponding to the recyclable energy, obtaining the recovery efficiency of the temperature control device in converting waste energy;

[0026] Determining whether the recycling efficiency meets the minimum energy efficiency requirement;

[0027] If so, the working period of the temperature control device is identified, the total energy recovery efficiency of the temperature control device is detected according to the working period, the total energy recovery efficiency is input into the energy storage device, and converted into corresponding storable waste energy in the energy storage device.

[0028] Furthermore, the step of determining whether the flow path of the stored waste energy matches the corresponding path of the temperature control requirement further includes:

[0029] Identifying a storage form of the stored waste energy, and obtaining a required time for transmitting the stored waste energy to a waste energy recovery device based on the storage form, wherein the storage form specifically includes thermal energy, electrical energy, and mechanical energy;

[0030] Determine whether the required time exceeds the preset time;

[0031] If so, the energy consumption change information of the stored waste energy is monitored in real time according to the required time, the energy loss of the stored waste energy is calculated based on the energy consumption change information, and the available energy efficiency of the waste energy recovery equipment is dynamically adjusted according to the energy loss, wherein the energy consumption change information specifically includes storage energy, energy storage efficiency and energy conversion efficiency.

[0032] Furthermore, the step of collecting the type of waste energy generated by the temperature control device for the smart building based on the preset temperature control device in the smart building further includes:

[0033] Obtaining the type of cold and hot sources of the temperature control device, wherein the type of cold and hot sources specifically includes performance, scope of application, and operating characteristics;

[0034] Determine whether the type of cold and hot sources can coordinate the real-time load demand of the smart building;

[0035] If not, identify the load area of ​​the smart building, detect the operating efficiency of the cold and heat sources in the load area, and based on the operating efficiency of the cold and heat sources, schedule the waste energy of the temperature control equipment to connect with the cold and heat source equipment in the load area.

[0036] The present invention also provides a highly efficient and energy-saving intelligent building temperature control management system, comprising:

[0037] A collection module, for collecting, based on a preset temperature control device in a smart building, the types of waste energy generated by the temperature control device for the smart building, wherein the types of waste energy specifically include waste heat, waste gas and waste water;

[0038] A judgment module, used to judge whether the waste energy type matches the recyclable energy preset in the smart building;

[0039] an execution module, for, if so, applying a preset sensor of the smart building to collect waste energy parameters of waste energy, identifying in real time the preset temperature control requirements of the smart building for the building area, dynamically switching the working mode of the preset energy storage device according to the temperature control requirements, and obtaining the stored waste energy of the energy storage device, wherein the waste energy parameters specifically include waste energy source, waste energy temperature and waste energy flow, and the working modes specifically include cooling mode, heating mode and mixed mode;

[0040] A second judgment module is used to judge whether the flow path of the stored waste energy matches the corresponding path of the temperature control requirement;

[0041] The second execution module is used to obtain the load data of the smart building if a match is found, detect the thermal energy conduction efficiency of the energy storage device according to the load data, and dynamically adjust the flow parameters of the stored waste energy based on the thermal energy conduction efficiency, wherein the flow parameters specifically include flow velocity, laminar flow and turbulence.

[0042] Furthermore, the execution module also includes:

[0043] An identification unit, configured to identify energy characteristics of the waste heat recovered by the energy storage device based on the waste heat, wherein the energy characteristics specifically include a source of the waste heat, a duration of the waste heat, and a quantity of the waste heat;

[0044] A determination unit, configured to determine whether the energy characteristic matches a preset heat load demand of the building area, wherein the heat load demand specifically includes a space heating demand and a cooling demand;

[0045] An execution unit is used to obtain the temperature requirement range of the building area, and if so, generate a heat output fluctuation value of the waste heat to the building area according to the temperature characteristics of the waste heat, and dynamically balance the waste energy recovery amount of the building area according to the heat output fluctuation value, wherein the temperature characteristics specifically include temperature range, fluctuation conditions and heat release mode.

[0046] Furthermore, it also includes:

[0047] A detection module, configured to detect heat load data of a functional zone preset in the building area based on the functional zone, wherein the functional zone specifically includes an office, a conference room, a restaurant, a corridor and a rest area, and the heat load data specifically includes a usage frequency, a space size and a number of equipment;

[0048] A third judgment module is used to judge whether the heat load data matches the temperature control requirement;

[0049] The third execution module is used to, if not, perform hierarchical management on the temperature control demand, build the temperature control priority of the functional area, dynamically adjust the regional temperature of the functional area by applying a preset demand response strategy based on the temperature control priority, and generate the real-time energy demand of the building area according to the regional temperature.

[0050] The present invention provides an efficient and energy-saving intelligent building temperature control management method and system, which has the following beneficial effects:

[0051] The present invention effectively converts waste energy into reusable energy by judging whether the type of waste energy matches recyclable energy, and recycles and effectively utilizes waste heat, waste gas and waste water. It can not only reduce external energy demand, but also reduce the consumption of traditional energy, thereby achieving energy saving effects. At the same time, through precise waste energy recovery and utilization, it can effectively reduce energy waste, thereby reducing the energy expenditure of buildings. Intelligent monitoring and dynamic adjustment help to ensure the efficient operation of energy storage equipment, avoid excessive operation or uneven load, extend the service life of equipment, reduce the maintenance and replacement frequency of equipment, and flexibly adapt to different waste energy types to ensure that each type of waste energy can be effectively recycled and utilized, thereby improving the versatility and flexibility of buildings for energy and being able to cope with changes in different environments and waste energy. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] Figure 1 A flow chart of an embodiment of the highly efficient and energy-saving intelligent building temperature control management method of the present invention;

[0053] Figure 2 This is a structural block diagram of an embodiment of the efficient and energy-saving intelligent building temperature control management system of the present invention. DETAILED DESCRIPTION

[0054] It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention. The implementation of the objectives, functional features and advantages of the present invention will be further described in conjunction with the embodiments and with reference to the accompanying drawings.

[0055] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0056] Reference Figure 1 , is a highly efficient and energy-saving intelligent building temperature control management method in one embodiment of the present invention, comprising:

[0057] S1: Based on a preset temperature control device in a smart building, collect the waste energy type generated by the temperature control device to the smart building, wherein the waste energy type specifically includes waste heat, waste gas and waste water;

[0058] S2: Determine whether the waste energy type matches the recyclable energy preset by the smart building;

[0059] S3: If yes, then use the preset sensor of the smart building to collect waste energy parameters of waste energy, identify the preset temperature control requirements of the smart building for the building area in real time, dynamically switch the working mode of the preset energy storage device according to the temperature control requirements, and obtain the stored waste energy of the energy storage device, wherein the waste energy parameters specifically include waste energy source, waste energy temperature and waste energy flow, and the working modes specifically include cooling mode, heating mode and mixed mode;

[0060] S4: Determine whether the flow path of the stored waste energy matches the corresponding path of the temperature control requirement;

[0061] S5: If a match is found, the load data of the smart building is obtained, and the thermal energy conduction efficiency of the energy storage device is detected according to the load data. Based on the thermal energy conduction efficiency, the flow parameters of the stored waste energy are dynamically adjusted, wherein the flow parameters specifically include flow velocity, laminar flow, and turbulent flow.

[0062] In this embodiment, the system collects the types of waste energy generated by the temperature control devices in the smart building based on the pre-installed temperature control devices in the smart building. The waste energy types specifically include waste heat, waste gas and waste water. Then the system determines whether these waste energy types match the recyclable energy pre-set in the smart building to execute the corresponding steps. For example, when the system determines that the types of waste energy generated by the temperature control devices in the smart building cannot match the recyclable energy pre-set in the smart building, the system will consider that the waste energy resources cannot be directly or effectively used in the energy recycling system of the building, resulting in the inability to reuse energy through the existing waste energy recovery mechanism. The system will consider the supplement of external energy, such as using external energy such as electricity and natural gas to maintain the operation of the temperature control system. In particular, when the waste energy cannot be efficiently recovered, the waste energy is stored through energy storage devices (such as batteries, heat storage tanks, refrigeration devices, etc.) and used at an appropriate time in the future. At the same time, the current waste energy recovery technology cannot handle specific types of waste energy (such as waste gas or waste water), and the management personnel will be advised to upgrade. Existing recycling technologies, such as using more efficient waste gas treatment systems (such as cogeneration systems), or recovering heat from wastewater through cooling technology, and adjusting the settings of temperature control equipment to reduce the amount of waste energy generated, or changing the working mode of the equipment to minimize its dependence on unmatched waste energy types, such as reducing hot water generation or reducing the amount of waste gas emissions from the equipment; for example, when the system determines that the type of waste energy generated by the temperature control equipment for the smart building can match the recyclable energy pre-set by the smart building, the system will then believe that the waste energy resources can be directly or effectively used in the energy recycling system of the building, and the system will use the pre-set sensors in the smart building to collect waste energy parameters of the waste energy, which specifically include waste energy sources, waste energy temperatures, and waste energy flow rates, and identify the pre-set temperature control requirements of the smart building for the building area in real time, and dynamically switch the pre-set working mode of the energy storage device according to different temperature control requirements, which specifically include cooling mode, heating mode, and mixed mode, to obtain the stored waste energy of these energy storage devices;The system can accurately identify the temperature control requirements of building areas by collecting waste energy parameters (such as waste energy source, waste energy temperature and waste energy flow) in real time. This intelligent sensing function ensures that the system dynamically adjusts the working mode according to actual needs, thereby providing accurate temperature control services. This flexibility can significantly improve the comfort of various areas in the building. At the same time, the precise matching of waste energy and temperature control requirements ensures that waste energy can be used where it is most needed. For example, waste heat can be directly used in areas that need heating, waste heat in exhaust gas can be used to heat water or air, and heat in wastewater can be used for floor heating or other heating systems. This directional use of waste energy can significantly improve the efficiency of energy recovery and reduce Additional energy consumption, and different areas in the building may have different temperature control requirements. Traditional temperature control equipment is usually unable to adjust quickly according to changes, and the system can flexibly adjust the working mode according to the actual needs of each area by collecting waste energy parameters in real time. This adaptive temperature control capability can make the entire building temperature control system more flexible and able to meet different needs in different time periods and environments; then the system determines whether the flow path of the stored waste energy matches the corresponding path of the temperature control requirement to execute the corresponding steps; for example, when the system determines that the stored waste energy cannot match the corresponding path of the temperature control requirement, the system will believe that the stored waste energy may not be effectively applied Due to the current temperature control requirements, the efficiency of the energy recovery system is reduced or it cannot function fully. The system will re-plan the flow path of waste energy to ensure that the waste energy can be directed to the area with the most concentrated temperature control requirements, such as adjusting the layout of pipelines, air ducts or other energy transmission systems so that the waste energy can efficiently flow to the area that needs temperature control. At the same time, the capacity of energy storage equipment or performance improvement of energy storage devices, such as increasing the capacity of hot water energy storage tanks, thermoelectric conversion equipment or cold energy storage systems, can effectively store more waste energy and release it quickly when needed. If the waste energy flow path cannot match a single temperature control requirement, the system can use a hybrid mode to Solution: For example, if there is both cooling and heating demand in one area, the system can adjust the use of waste energy at the same time, use waste heat for heating and waste cold energy for cooling through a mixed mode, maximize the use of waste energy, and ensure that the temperature control needs of each area are met; for example, when the system determines that the stored waste energy can match the corresponding path of the temperature control demand, the system will consider that the stored waste energy can be effectively applied to the current temperature control demand, and the system will obtain the load data of the smart building, detect the heat transfer efficiency of the energy storage device based on the load data, and dynamically adjust the flow parameters of the stored waste energy based on different heat transfer efficiencies. The flow parameters specifically include flow velocity, laminar flow and turbulence;The system ensures efficient conduction of waste energy in the temperature control system by dynamically adjusting the flow parameters of waste energy. For example, the adjustment of flow rate can ensure the appropriate speed of heat transfer, avoiding heat loss or lag caused by too slow flow, and insufficient or uneven heat transfer caused by too fast flow. The adjustment of laminar flow and turbulent flow can optimize the heat exchange performance of the fluid and improve the overall thermal energy utilization efficiency of the system. At the same time, dynamic adjustment of flow parameters (such as flow rate and flow state) can help the system respond to temperature control needs more accurately. When certain areas of the building require rapid temperature changes, the system can adjust the flow rate or switch between laminar flow and Turbulent flow ensures that the temperature is quickly adjusted to the required range. Conversely, if a relatively stable temperature adjustment is required, the system can reduce the flow rate or adjust it to a laminar flow state to ensure that the heat energy is slowly and evenly transferred. By optimizing the flow parameters, the system can ensure that the stored waste energy is released to the required area at the right time and in a suitable manner. For example, the adjustment of the flow rate can help the waste energy to be quickly transferred to the area with a large temperature control load, thereby ensuring that the waste energy is effectively utilized. The adjustment of laminar and turbulent flow can further optimize the heat exchange efficiency, so that the waste energy is maximized. Convert into the required temperature control energy. ;

[0063] In this embodiment, according to the temperature control requirement, the working mode of the preset energy storage device is dynamically switched to obtain the stored waste energy of the energy storage device in step S3, which further includes:

[0064] S31: Based on the waste heat recovered by the energy storage device, identifying the energy characteristics of the waste heat, wherein the energy characteristics specifically include the source of the waste heat, the duration of the waste heat, and the amount of the waste heat;

[0065] S32: Determine whether the energy characteristics match the preset heat load demand of the building area, wherein the heat load demand specifically includes space heating demand and cooling demand;

[0066] S33: If yes, then obtain the temperature requirement range of the building area, generate the heat output fluctuation value of the waste heat to the building area according to the temperature characteristics of the waste heat, and dynamically balance the waste energy recovery amount of the building area according to the heat output fluctuation value, wherein the temperature characteristics specifically include temperature range, fluctuation conditions and heat release mode.

[0067] In this embodiment, the system identifies the energy characteristics of the waste heat based on the waste heat recovered by the energy storage device, and the energy characteristics specifically include the source of the waste heat, the duration of the waste heat, and the amount of waste heat. Then the system determines whether these energy characteristics match the pre-set heat load requirements of the building area, and the heat load requirements specifically include space heating requirements and cooling requirements, so as to execute corresponding steps; for example, when the system determines that the energy characteristics of the waste heat cannot match the pre-set heat load requirements of the building area, the system will consider that the characteristics of the waste heat (such as source, duration, heat size, etc.) do not match the temperature control requirements of the target area, which may result in the inability to efficiently or effectively utilize the waste heat. To meet the preset temperature control target, the system will balance thermal energy through energy storage devices (such as heat accumulators, phase change materials, etc.), store excess heat and release it when it is needed later, or balance the insufficient heat through external energy supplementation. At the same time, the availability of waste heat is regularly evaluated and its use strategy is adjusted. For example, the system can select more suitable areas for temperature control scheduling according to the different energy characteristics of waste heat, or give priority to it in secondary areas to avoid waste. It also monitors the temperature control requirements of building areas in real time and dynamically adjusts it according to the actual availability of waste heat. For example, when waste heat is available, the temperature control requirements are adjusted to a suitable range, and when waste heat is insufficient, Through the supplement of other energy systems, the temperature control stability of the building area is ensured; for example, when the system determines that the energy characteristics of these waste heat can match the pre-set heat load requirements of the building area, the system will think that the smart building can effectively use the waste heat to meet the temperature control target, and the system will obtain the temperature demand range of the building area, and generate the heat output fluctuation value of the waste heat to the building area according to the temperature characteristics of these waste heat, which specifically include temperature range, fluctuation and heat release mode, and dynamically balance the waste energy recovery amount of the building area according to the heat output fluctuation value; the system obtains the temperature characteristics of the waste heat in real time (including temperature range, fluctuation and heat release mode) mode), can more accurately evaluate whether the waste heat meets the expected temperature control needs, and dynamically adjust the use of waste heat to avoid energy waste. At the same time, according to the temperature characteristics of waste heat, the system can generate heat output fluctuation values, and comprehensively consider the output characteristics of waste heat in different time periods and environmental conditions (such as fluctuations, instantaneous changes, etc.), so as to more accurately predict the effective utilization cycle of waste heat, and obtain the temperature and heat change data of waste heat in real time, automatically identify and adjust the operating status of temperature control equipment according to temperature control needs, and improve the intelligence level of temperature control system. The dynamic adjustment and feedback mechanism of waste heat makes the building temperature control system more adaptable and intelligent.

[0068] It should be supplemented that the temperature demand range of the building area is obtained, and the heat output fluctuation value of the waste heat to the building area is generated according to the temperature characteristics of the waste heat. According to the heat output fluctuation value, the waste energy recovery amount of the building area is dynamically balanced. The specific examples are as follows:

[0069] Suppose there is a smart office building, which includes multiple functional areas: office area, meeting room, kitchen and public area. Each area has different temperature control requirements, and the air conditioning system, kitchen equipment and other equipment in the building will release a lot of waste heat when working.

[0070] The temperature control system in the building pre-sets the temperature requirement range for each area and is equipped with sensors that can collect temperature, humidity and other data in real time. In addition, there is also energy storage equipment in the building to recover and store waste heat to meet the building's temperature control needs;

[0071] First, obtain the temperature control requirement range of the building area. The temperature control requirement range of each area is set according to its usage function:

[0072] Office area: Maintain a temperature of 20℃ to 24℃ to ensure a comfortable working environment;

[0073] Meeting room: Maintain a temperature of 20℃ to 22℃ to ensure comfort during meetings;

[0074] Kitchen area: Due to the presence of high-temperature equipment, the temperature control range is 22°C to 28°C to maintain a stable kitchen operating environment;

[0075] Then the temperature characteristics of waste heat are analyzed. In buildings, air conditioners and kitchen equipment are the main waste heat. The temperature of air conditioner waste heat is usually between 30℃ and 35℃ in summer. The waste heat temperature will fluctuate with changes in the outside temperature and the air conditioning load. For example, when the outside temperature is high, the workload of the air conditioner increases and the temperature of the waste heat rises. The release of air conditioner waste heat is relatively stable, but it will also be affected by changes in the building's temperature control needs. The waste heat temperature of kitchen equipment is relatively high, generally between 60℃ and 80℃. Since the waste heat of kitchen equipment fluctuates greatly, especially during peak dining hours (such as lunch and dinner time), the frequency of equipment use increases, and more waste heat is released. In addition, the waste heat release of kitchen equipment is more sudden and periodic, and is usually concentrated during peak dining hours.

[0076] Then, the heat output fluctuation value of the waste heat to the building area is generated. The system generates the heat output fluctuation value of the waste heat to the building area according to the temperature characteristics of the waste heat and the temperature control requirements of each area. Since the temperature range of the air-conditioning waste heat is 30℃ to 35℃, which is much higher than the temperature control requirement range of 20℃ to 22℃ of the conference room, the waste heat of the air conditioner cannot directly meet the temperature control requirements of the conference room. The heat output fluctuation value generated by the system shows that the temperature control requirements of the conference room caused by the waste heat of the air conditioner fluctuate too much, and the system needs to reduce the amount of air-conditioning waste heat recovered to avoid overheating. The temperature of the kitchen waste heat is between 60℃ and 80℃, which is much higher than the requirement of the office area of ​​20℃ to 24℃. Therefore, the fluctuation value generated by the system shows that the kitchen waste heat is not suitable for direct use in office temperature control. Therefore, the system needs to calculate how to convert and adjust the kitchen waste heat to avoid overheating.

[0077] Then, the amount of waste energy recovered is dynamically balanced. The system adjusts the amount of waste heat recovered according to the fluctuation value of the heat output of the waste heat, and optimizes the use of waste heat in the building. When the temperature of the air-conditioning waste heat fluctuates greatly, the system will monitor in real time and reduce the amount of air-conditioning waste heat recovered. For example, when the air-conditioning load is high, the temperature of the waste heat is high, and the system will reduce the amount of recovery to avoid directly supplying heat to the conference room. When the air-conditioning load is low, the temperature of the waste heat is low, and the system can recover the waste heat appropriately and use it to adjust the temperature of the office. During the peak hours in the kitchen, the waste heat temperature is 70°C to 80°C, which is much higher than the needs of the office and conference room. The system will adjust the temperature of the kitchen waste heat through a heat exchange device to make it suitable for heating or storage. For example, the system can reduce the excessively high waste heat temperature through equipment such as heat pumps, or temporarily store the waste heat for reuse when the temperature control demand is lower.

[0078] Finally, the waste heat flow path is optimized. The system not only recycles waste heat, but also ensures that the waste heat flow path matches the corresponding path of temperature control requirements. The system will determine in real time whether the waste heat flow path can effectively supply the corresponding area. If the air-conditioning waste heat path matches the conference room, the waste heat will be supplied to the conference room. If it does not match, it may be necessary to adjust the waste heat flow path or store the waste heat for standby use. The system dynamically adjusts the waste heat flow parameters, such as flow rate, laminar flow or turbulent flow mode, according to the heat output fluctuation value and the needs of each area. By adjusting the flow parameters, it ensures that the waste heat can be efficiently transferred and avoids unnecessary heat loss.

[0079] In summary, through the above steps, the system can dynamically adjust the amount of waste heat recovery, maximize the utilization of waste heat and reduce energy consumption; at the same time, ensure that the temperature of each area is always maintained within the preset range to improve comfort; and through waste heat recovery, reduce dependence on external energy, reduce energy consumption and operating costs; and the system can adjust the waste heat recovery amount, temperature control mode and waste heat flow path in real time, and intelligently manage the temperature control system.

[0080] In this embodiment, before step S3 of real-time identifying the temperature control requirements preset by the smart building for the building area, the following steps are also included:

[0081] S301: Based on the functional division areas preset in the building area, detecting heat load data of the functional division areas, wherein the functional division areas specifically include offices, conference rooms, restaurants, corridors and rest areas, and the heat load data specifically include usage frequency, space size and number of equipment;

[0082] S302: Determine whether the heat load data matches the temperature control requirement;

[0083] S303: If not, the temperature control demand is managed in a hierarchical manner, and the temperature control priority of the functional area is constructed. Based on the temperature control priority, a preset demand response strategy is applied to dynamically adjust the regional temperature of the functional area, and according to the regional temperature, the real-time energy demand of the building area is generated.

[0084] In this embodiment, the system detects the heat load data of these functional division areas based on the pre-set functional division areas of the building area, which specifically include offices, conference rooms, restaurants, corridors and rest areas, and then the system determines whether these heat load data match the temperature control requirements to execute corresponding steps; for example, when the system determines that the heat load data of these functional division areas can match the temperature control requirements, the system will believe that it has been able to identify and meet the temperature control requirements of each functional area, and waste energy recovery and energy supply can effectively correspond to the heat load requirements of different areas. The system will confirm that the heat load data matches the temperature control requirements, that is, the appropriate waste heat or energy can be allocated to the corresponding area on demand. Based on real-time heat load data, the system can dynamically Adjust the waste heat recovery efficiency. If the demand in a certain area is high, the system may need to increase the waste heat recovery ratio in that area and reduce the waste heat supply in other areas. At the same time, ensure that the flow path of waste heat matches the heat load demand of the target area. Dynamically adjust the flow parameters of thermal energy according to the heat load data, including flow rate, laminar or turbulent flow mode, to ensure efficient transmission of waste heat and avoid overheating or heat waste. Continuously monitor the temperature control status of each functional area to ensure that the temperature of each area is always maintained within the set range. If there is a deviation, the system will adjust the waste heat recovery amount or energy supply mode in time. According to the real-time temperature control requirements, the system will adaptively adjust the waste heat source, heat exchange rate and temperature control mode to ensure that the temperature requirements of each functional area are always met. ; For example, when the system determines that the heat load data of these functional areas cannot match the temperature control requirements, the system will consider that it cannot meet the temperature control requirements of each functional area. The system will manage the temperature control requirements in a hierarchical manner, build the temperature control priorities of these functional areas, and dynamically adjust the regional temperatures of these functional areas based on different temperature control priorities using pre-set demand response strategies. According to different regional temperatures, the real-time energy demand of the building area is generated; by managing the temperature control requirements in a hierarchical manner, the system can identify which areas have more urgent or important temperature control requirements. For example, conference rooms usually need to maintain a more precise temperature, while corridors and rest areas have relatively loose temperature control requirements. The system adjusts waste energy recovery and energy distribution according to these priorities. The system can dynamically adjust the temperature of different areas through demand response strategies. For example, when the waste heat of the air-conditioning system cannot meet the needs of all areas, the system will adjust the temperature of each area according to the priority of the functional area to ensure that the most important areas (such as offices or conference rooms) are always in a suitable temperature control state. In addition, when the temperature control needs cannot be fully matched, the system can avoid energy waste by optimizing the allocation of waste heat resources and adjusting the temperature control priority. The system can adjust the strategy according to the temperature control needs and heat load data. For example, if the temperature control needs of a certain area change (for example, the temperature suddenly needs to be lowered to cope with changes in the external environment), the system can respond quickly and adjust the energy supply to adapt to these changes.

[0085] It should be noted that the preset demand response strategy is applied to dynamically adjust the regional temperature of the functional division area, and the real-time energy demand of the building area is generated according to the regional temperature. The specific examples are as follows:

[0086] Suppose there is a smart building with multiple functional areas: offices, meeting rooms, restaurants, corridors, and rest areas. These areas have different temperature control requirements and priorities, and the temperature control equipment may generate waste energy, such as waste heat. In order to improve energy efficiency and save energy, the temperature control system in the building needs to be able to dynamically adjust the temperature control requirements of each area and reuse the waste heat generated through the waste heat recovery system.

[0087] Assume that the external ambient temperature is high on that day, the external temperature is 35℃, which increases the load on the air conditioning system in the building, especially the temperature control demand in offices and conference rooms is relatively tight; at the same time, the power grid load of the building is also relatively high, and the instructions received by the smart building require a 20% reduction in energy consumption; the system monitors the heat load data of each functional area in real time; offices and conference rooms have a large heat load due to the concentration of people, while the heat load of restaurants, corridors and rest areas is relatively small; the heat load data example is,

[0088] Office: The heat load is higher, about 1000W;

[0089] Conference room: The heat load is relatively high, about 800W;

[0090] Restaurant: medium heat load, about 400W;

[0091] Corridor: The heat load is low, about 200W;

[0092] Rest area: The heat load is low, about 100W;

[0093] The system determines whether the temperature control requirements of each area can meet the current energy supply and heat load data based on the functional priority of the building area. At this time, the system finds that the heat load of the office and conference room is highly matched with the temperature control requirements and needs to be maintained at 22°C to 24°C, so the temperature control requirements are given priority. The temperature control requirements of the restaurant, corridor and rest area can be moderately relaxed, allowing the indoor temperature to be increased to save energy.

[0094] Start the demand response strategy to dynamically adjust the temperature control. In order to reduce energy consumption by 20%, the system adjusts the temperature control requirements of each area according to the demand response strategy; Offices and conference rooms (high priority): These areas need to maintain a comfortable temperature range. The system optimizes energy efficiency through waste heat recovery and air conditioning systems to ensure that temperature control is not affected;

[0095] Restaurant: The temperature control range is adjusted to 24℃ to 26℃, and the energy consumption is relatively low;

[0096] Corridor: The temperature control range is adjusted to 25℃ to 28℃, because the corridor area will not directly affect the activities of personnel;

[0097] Rest area: The temperature control range is relaxed to 28℃ to 30℃. This area has lower temperature control requirements and can withstand higher temperatures.

[0098] Waste heat recovery and energy management: air conditioning and equipment (such as computers, lighting systems, etc.) in buildings generate waste heat. The system recovers this heat through a waste heat recovery device and reuses it. Assuming that 200W of waste heat is recovered from the air conditioning systems in offices and conference rooms, this waste heat is directly sent back to the air conditioning system or heating system, reducing cooling and heating requirements. At the same time, the system recovers 500W of waste heat from the air conditioning systems in restaurants and corridors through a waste heat recovery device and distributes it to areas with lower temperature control requirements, such as corridors and rest areas, further reducing energy consumption.

[0099] Dynamically balance regional temperature and waste energy recovery. After implementing the demand response strategy, the system dynamically balances the waste energy recovery and the temperature control requirements of each area. Since the temperature control requirements of offices and conference rooms are higher, the waste heat recovery system gives priority to providing additional heat to these two areas, thereby reducing the cooling load; the temperature control requirements of restaurants, corridors and rest areas are lower, and the system distributes the remaining waste heat to these areas to avoid the consumption of external energy;

[0100] Real-time energy demand generation and adjustment: The system generates real-time energy demand based on the new temperature control settings: offices and conference rooms maintain high temperature control requirements, requiring more cooling or heating energy; the temperature control requirements of restaurants and corridors are reduced, saving energy; and the temperature control requirements of rest areas are further relaxed to minimize energy consumption;

[0101] Through intelligent demand response strategies, the system dynamically adjusts temperature control requirements according to the temperature control priority and energy supply of each area, and maximizes energy utilization efficiency through waste heat recovery. Under high external temperatures and tight energy supply, the system effectively reduces total energy consumption by 20%, while ensuring that high-priority areas (such as offices and meeting rooms) can maintain a comfortable temperature, and low-priority areas (such as corridors, rest areas and restaurants) have appropriate temperature control relaxation. The waste heat recovery system effectively reuses the waste heat generated, which not only reduces the load of air conditioning and heating systems, but also achieves energy saving and sustainable utilization of temperature control equipment.

[0102] In summary, through the above examples, the system can dynamically adjust according to the priorities and temperature control requirements of different areas, ensuring that the temperature control of high-priority areas is not affected and reducing energy consumption in low-priority areas; at the same time, through waste heat recovery and reuse, the system reduces energy waste and improves overall energy utilization efficiency; and the system can quickly adjust energy allocation and temperature control strategies based on real-time monitoring data and demand changes to achieve efficient temperature control and energy management within the building.

[0103] In this embodiment, before the step S5 of acquiring the load data of the intelligent building, the method further includes:

[0104] S501: Based on a preset collection cycle of the smart building, collect key indicator information of the load data, wherein the key indicator information specifically includes power consumption, equipment operation time, regional temperature and humidity;

[0105] S502: Determine whether the key indicator information matches the load data;

[0106] S503: If yes, then identify the energy waste points of the smart building according to the key indicator information, calculate the corresponding energy efficiency ratio information according to the energy waste points, and generate energy efficiency under different load conditions through the energy efficiency ratio information.

[0107] In this embodiment, the system collects key indicator information of load data based on the collection cycle pre-set by the smart building. The key indicator information specifically includes power consumption, equipment operating time, regional temperature and humidity. Then the system determines whether these key indicator information can match the load data to execute the corresponding steps; for example, when the system determines that the key indicator information of the load data cannot match the load data, the system will believe that there is an inconsistency or deviation between the current load data and the actual load demand, which may cause unreasonable energy allocation or the temperature control system to be unable to effectively respond to the current demand. The system will perform data verification to confirm whether the collected data is accurate. If the sensor is found In case of failure or data deviation, the sensor should be adjusted or replaced in time, and the data should be collected again. At the same time, adjustments should be made based on real-time data, and the temperature control strategy should be temporarily optimized or the priority of temperature control needs should be adjusted. For example, if the temperature in some areas is too high or too low, the system will relieve the load pressure by adjusting the cooling / heating intensity or switching to backup equipment, and enable emergency mode, automatically switch to low-energy mode or use available backup energy (such as waste heat) to ensure basic temperature control needs, adjust the energy allocation of each area, reduce the temperature control intensity of low-priority areas, and give priority to the temperature control needs of key areas, thereby optimizing the overall energy efficiency. For example, when the system determines that the key indicator signal of the load data is too high or too low, the system will automatically switch to low-energy mode or use available backup energy (such as waste heat) to ensure basic temperature control needs. The information can match the load data. At this time, the system will think that the current load data is consistent with the actual load. The system will identify the energy waste points of the smart building based on these key indicator information, calculate the corresponding energy efficiency ratio information according to different energy waste points, and generate energy efficiency under different load conditions through the energy efficiency ratio information; the system can accurately identify the energy waste points in the building by matching the load data with the key indicator information in real time, such as the inefficient operation of temperature control equipment, lighting systems or other facilities. These waste points usually lead to unnecessary energy consumption. After identifying these waste points, the system can optimize the operation strategy of the equipment based on the energy efficiency ratio data to improve the overall energy use Efficiency. By calculating the energy efficiency ratio, the operating mode can be adjusted according to the equipment efficiency under different load conditions. For example, under high load conditions, cooling or heating may need to be strengthened, while under low load conditions, the system will reduce energy consumption by optimizing equipment operation. Through these dynamic adjustments, the system can ensure that the equipment always works at the best efficiency and avoid unnecessary energy waste. Moreover, by acquiring and analyzing key indicator data in real time, the system can accurately grasp the energy flow in the building and provide detailed energy usage reports. This data-driven management method makes building energy management more accurate and efficient, and helps decision makers make data-based optimization adjustments.

[0108] It should be noted that, according to the key indicator information, the energy waste points of the smart building are identified, the corresponding energy efficiency ratio information is calculated according to the energy waste points, and the energy efficiency under different load conditions is generated through the energy efficiency ratio information. The specific examples are as follows:

[0109] Assume that in a smart building, the floors are divided into multiple functional areas, including offices, meeting rooms, corridors, rest areas, and restaurants. Each area has different temperature control requirements (such as temperature and humidity). The system will automatically collect key indicator information of each area according to a preset period (for example, every hour or every 30 minutes).

[0110] Key indicator information includes:

[0111] Power consumption: the amount of electricity consumed by the device per hour (kW);

[0112] Equipment operating time: the time (hours) that the equipment continuously operates;

[0113] Regional temperature: the real-time temperature of the area (℃);

[0114] Humidity: relative humidity of the area (%);

[0115] After the system collects the following data, it needs to analyze the data to identify whether there is energy waste:

[0116] Office area,

[0117] Target temperature: 22°C

[0118] Actual temperature: 20℃

[0119] Air conditioning power consumption: 5kW

[0120] Air conditioning running time: 8 hours

[0121] Air conditioning output: 4.2kW

[0122] Humidity: 50%

[0123] Meeting room area,

[0124] Target temperature: 22°C

[0125] Actual temperature: 22℃

[0126] Air conditioning power consumption: 3.5kW

[0127] Air conditioning operation time: 6 hours

[0128] Air conditioning output: 3.0kW

[0129] Humidity: 55%

[0130] Corridor area,

[0131] Target temperature: 24℃

[0132] Actual temperature: 23.5℃

[0133] Air conditioning power consumption: 1.5kW

[0134] Air conditioning operation time: 10 hours

[0135] Air conditioning output: 1.2kW

[0136] Humidity: 40%

[0137] There is also a seating area.

[0138] Target temperature: 22°C

[0139] Actual temperature: 22.5℃

[0140] Air conditioning power consumption: 2.0kW

[0141] Air conditioning operation time: 5 hours

[0142] Air conditioning output: 1.7kW

[0143] Humidity: 45%

[0144] First, identify energy waste points. Based on the collected data, the system can identify the following potential energy waste points:

[0145] Office area: The target temperature is set to 22°C, but the actual temperature is 20°C. The air conditioner is still running at full load, indicating that the air conditioner in the office area is overcooling.

[0146] Reasons for energy waste: The air conditioner consumes 5kW of electricity but only provides 4.2kW ​​of cooling air. The energy efficiency ratio is 4.2 / 5=0.84, which is lower than the ideal value.

[0147] Meeting room area: The target temperature and actual temperature match, but the air conditioning power consumption is 3.5kW, the cooling air output is 3.0kW, and the energy efficiency ratio is 3.0 / 3.5=0.86, which is a good performance;

[0148] Reasons for energy waste: Although the energy efficiency is relatively high, the air conditioner still runs for 6 hours, which may lead to unnecessary energy waste;

[0149] Corridor area: The target temperature is set to 24°C, but the actual temperature is 23.5°C, and the air conditioner is still running;

[0150] Reasons for energy waste: The temperature control demand in the corridor is low, but the air conditioning power consumption is still 1.5kW, the output cooling air volume is 1.2kW, the energy efficiency ratio is 1.2 / 1.5=0.8, the energy efficiency is low, and the air conditioning operation time is too long;

[0151] Rest area: The target temperature is 22°C, the actual temperature is 22.5°C, the air conditioner consumes 2.0kW of electricity, the output cooling capacity is 1.7kW, and the energy efficiency ratio is 1.7 / 2.0=0.85, which is a relatively low efficiency operation;

[0152] Then calculate the energy efficiency ratio information, for all the above areas, apply the formula

[0153]

[0154] The calculated energy efficiency ratio information is as follows:

[0155] Office area: 0.84

[0156] Meeting room area: 0.86

[0157] Corridor area: 0.8

[0158] Rest area: 0.85

[0159] Then generate energy efficiency and formulate optimization strategies, energy efficiency calculation, based on the calculated energy efficiency ratio, the system evaluates the energy efficiency of each area; areas with low energy efficiency (such as corridors and offices) need further optimization:

[0160] Office area optimization: The energy efficiency ratio is 0.84, which is lower than the expected energy efficiency standard (such as 1.0). The system determines that the air conditioner is overworking, which may be due to unreasonable temperature control settings or reduced efficiency of the equipment itself. At this time, the system can suggest adjusting the temperature control settings and optimizing the temperature setting range; reducing the air conditioner power, using energy-saving mode, or performing regular equipment maintenance;

[0161] Optimization of the corridor area: Although the temperature control demand in the corridor area is low, the air conditioner is still working at a high load, and the energy efficiency ratio is 0.8, which is low efficiency; the system recommends setting up sensors to automatically control the air conditioner switch according to actual usage; and reducing unnecessary energy consumption by adjusting the operating time or temperature range of the temperature control equipment during idle periods;

[0162] Intelligent adjustment of air conditioning operation: The system can automatically adjust the air conditioning operation mode, reduce unnecessary cold air output, and reduce power consumption;

[0163] Automatic sensor control: Sensors are used to monitor whether there are people in the area or whether there are changes in heat load. If there are no people in certain areas or the heat load is low, the system will automatically turn off the air conditioner or reduce the intensity of air conditioning operation;

[0164] Equipment maintenance and optimization: Maintain and calibrate poorly performing equipment (such as air conditioners in office areas) to ensure that the equipment operates at optimal efficiency;

[0165] The final effect and results, through these analysis and optimization steps, the system can effectively identify energy waste points and achieve results by dynamically adjusting the operating modes of air conditioners and other equipment. By optimizing air conditioner operation, energy consumption can be reduced; for example, the power consumption of office air conditioners may be reduced from 5kW to 4kW, reducing energy consumption by 20%; by adjusting temperature control requirements and equipment operating modes, the energy efficiency ratio can be improved to avoid excessive consumption; not only can energy bills be reduced, but also the service life of equipment can be extended and maintenance costs can be reduced; energy waste can be reduced, carbon emissions can be reduced, and buildings can be driven towards green buildings;

[0166] In summary, the above examples can optimize energy use in real time by collecting key indicator data in detail, calculating energy efficiency ratios, identifying energy waste points, and generating energy efficiency efficiencies for different load conditions. This improves energy efficiency, reduces waste, reduces operating costs, and achieves more intelligent and sustainable energy management.

[0167] In this embodiment, the step S2 of determining whether the waste energy type matches the recyclable energy preset in the smart building further includes:

[0168] S21: Based on the minimum energy efficiency requirement corresponding to the recyclable energy, obtaining the recovery efficiency of the temperature control device in converting waste energy;

[0169] S22: Determine whether the recovery efficiency meets the minimum energy efficiency requirement;

[0170] S23: If yes, identify the working period of the temperature control device, detect the total energy recovery efficiency of the temperature control device according to the working period, input the total energy recovery efficiency into the energy storage device, and convert it into corresponding storable waste energy in the energy storage device.

[0171] In this embodiment, the system obtains the recovery efficiency of the temperature control device converted into waste energy based on the minimum energy efficiency requirement corresponding to the recyclable energy, and then the system determines whether the recovery efficiency meets the minimum energy efficiency requirement to execute the corresponding steps; for example, when the system determines that the recovery efficiency of the temperature control device converted into waste energy does not meet the minimum energy efficiency requirement corresponding to the recyclable energy, the system will consider that the efficiency of the current temperature control device in converting waste energy into recyclable energy does not meet the set minimum standard, which may lead to insufficient energy recovery in the building and waste of energy. The system will check the operating status of the waste energy recovery device (such as heat exchanger, heat pump, etc.) in the temperature control device to confirm whether there is a performance bottleneck, and inspect and maintain the temperature control device, especially the waste energy recovery system. Core components (such as heat pumps, heat exchangers, etc.) are ensured to be in the best operating state to reduce the decline in recovery efficiency due to equipment aging or failure. At the same time, the operating mode of the temperature control equipment is dynamically adjusted (such as switching to high-efficiency mode, increasing heat exchange rate, etc.). According to the changes in indoor temperature and humidity, the recovery efficiency is adjusted in real time, and the most appropriate operating mode is selected to improve efficiency. By adjusting the flow path of waste energy, the utilization of waste heat, waste water, and waste gas is optimized. For example, by optimizing the pipeline network or adding diverters to reasonably distribute waste energy to different areas, the heat transfer efficiency is improved, and a multi-stage recovery system is introduced to recycle waste energy multiple times. For example, most of the waste heat can be recovered through a primary system, and then the remaining waste heat can be used to drive other systems to further improve the overall recycling efficiency; for example, when the system determines that the recycling efficiency of the temperature control equipment converted into waste energy can meet the minimum energy efficiency requirements corresponding to recyclable energy, the system will consider that the energy recovery in the building is sufficient, and the system will identify the working hours of these temperature control equipment, detect the total recycling energy efficiency of these temperature control equipment according to different working hours, input the total recycling energy efficiency into the energy storage equipment, and convert it into the corresponding storable waste energy in the energy storage equipment; by identifying the working hours of the temperature control equipment, the system can adjust the waste energy recovery and storage strategy in different time periods. For example, during high-demand periods (such as winter heating), the energy storage equipment can be adjusted to operate efficiently during low-demand periods (such as nighttime), thereby balancing supply and demand. At the same time, by converting waste energy into storable energy and storing it, the building It can significantly reduce energy waste and lower operating costs, especially when the system can detect and optimize the conversion efficiency of energy storage equipment in real time, the energy self-sufficiency rate will be greatly improved, and the recovered energy efficiency data will be input into the energy storage equipment. The system can dynamically adjust the working state of the energy storage equipment (such as charging and discharging mode) to ensure that the energy storage equipment can achieve maximum benefits under different working hours and load conditions. This can extend the service life of the energy storage equipment and ensure that it provides timely support during peak demand. By converting and storing waste energy, the system can balance energy supply and demand fluctuations and avoid instability caused by energy fluctuations. For example, during short-term energy demand peaks, energy storage equipment can quickly provide energy, reduce dependence on the main power grid, and ensure stable energy supply in the building.

[0172] In this embodiment, the step S4 of determining whether the flow path of the stored waste energy matches the corresponding path of the temperature control requirement further includes:

[0173] S41: Identify the storage form of the stored waste energy, and obtain the time required for the stored waste energy to be transmitted to the waste energy recovery device based on the storage form, wherein the storage form specifically includes thermal energy, electrical energy and mechanical energy;

[0174] S42: Determine whether the required time exceeds a preset time;

[0175] S43: If so, then according to the required time, the energy consumption change information of the stored waste energy is monitored in real time, the energy loss of the stored waste energy is calculated according to the energy consumption change information, and the available energy efficiency of the waste energy recovery equipment is dynamically adjusted according to the energy loss, wherein the energy consumption change information specifically includes storage capacity, energy storage efficiency and energy conversion efficiency.

[0176] In this embodiment, the system identifies the storage form of the stored waste energy, which specifically includes thermal energy, electrical energy, and mechanical energy, and obtains the time required for the stored waste energy to be transmitted to the waste energy recovery device based on these storage forms. The system then determines whether the required time exceeds the preset time to execute the corresponding steps. For example, when the system determines that the time required for the stored waste energy to be transmitted to the waste energy recovery device does not exceed the preset time, the system will believe that the stored waste energy can be smoothly transmitted to the waste energy recovery device within the predetermined time, and the waste energy conversion process can be completed within the specified time. The system will continue to operate the waste energy recovery device and start the waste energy conversion on time, and ensure that the waste energy is quickly and efficiently converted through optimized scheduling. It can be converted into usable energy to support temperature control or other needs in building areas, and automatically adjust the working mode of energy storage equipment (such as charging, discharging, standby, etc.) to ensure that waste energy is optimally stored and released. According to the current status of waste energy recovery equipment and energy storage equipment, the system can optimize the waste energy allocation strategy, flexibly adjust the energy supply of each building area, ensure that the energy needs of each functional area (such as office, conference room, etc.) are fully met, and monitor the status of waste energy transmission and conversion in real time, and regularly adjust the scheduling strategy to ensure that the waste energy recovery and utilization process always remains efficient. Through continuous data feedback, the system can further optimize energy efficiency management; for example, when the system determines that the stored waste energy has been transmitted to the waste energy recovery equipment, the system can automatically adjust the energy supply of each building area, and ensure that the energy demand of each functional area (such as office, conference room, etc.) is fully met. If the time required for the waste energy collection device exceeds the preset time, the system will consider that the stored waste energy cannot be smoothly transmitted to the waste energy recovery device. The system will monitor the energy consumption change information of the stored waste energy in real time according to the required time. The energy consumption change information specifically includes the storage capacity, energy storage efficiency and energy conversion efficiency. The energy loss of the stored waste energy is calculated based on the energy consumption change information, and the available energy efficiency of the waste energy recovery device is dynamically adjusted according to the energy loss. By real-time monitoring of the energy consumption change information of the stored waste energy (including storage capacity, energy storage efficiency and energy conversion efficiency), the system can timely identify possible delays or efficiency reductions in the waste energy transmission process, ensure that the energy recovery process is always kept within the preset time range, and at the same time adjust the energy efficiency according to the energy consumption. After calculating the energy loss of stored waste energy based on change information, the system can adjust the energy efficiency settings or operating parameters of the waste energy recovery equipment to optimize the recovery efficiency. For example, it may adjust the power settings of the recovery equipment, the transmission pipeline pressure or other related variables to ensure that the equipment can operate with minimal energy loss. In addition, real-time calculation and feedback of energy loss allow the system to finely control the transmission path, rate and equipment operating mode of waste energy to avoid energy shortages or waste caused by slow transmission or reduced efficiency, and adjust the available energy efficiency of the waste energy recovery equipment to ensure that different building areas (such as offices, conference rooms, etc.) obtain the required energy supply in a short time, thereby preventing energy shortages due to insufficient waste energy recovery.

[0177] It should be noted that, according to the required time, the energy consumption change information of the stored waste energy is monitored in real time, the energy loss of the stored waste energy is calculated according to the energy consumption change information, and the available energy efficiency of the waste energy recovery device is dynamically adjusted according to the energy loss. The specific examples are as follows:

[0178] Assume that in a smart building, waste heat is generated by air conditioning systems and heating equipment and stored in thermal energy storage devices; these devices have an energy storage efficiency of 90% and can store 100kWh of waste heat energy; for ease of management, the system divides the energy storage devices into two areas: office area and meeting area;

[0179] First, when the system monitored the waste heat storage in these two areas, it found that due to the failure of the temperature control equipment or other reasons, the actual waste heat of the energy storage equipment was 95kWh, 5kWh less than the original 100kWh. The system calculated that the 5kWh energy loss might be due to the poor heat transfer efficiency of the energy storage equipment or the loss of waste heat during the storage process.

[0180] After the waste heat is stored, the system starts to transfer the waste heat from the energy storage device to the waste energy recovery device. In this process, the waste heat flows too fast, resulting in heat energy loss. When the original 95kWh of waste heat is transferred to the recovery device, only 90kWh of effective energy remains. The system calculates that the energy loss of the waste heat is 5%, that is, 5kWh of waste heat is not successfully converted.

[0181] The system then adjusted the working mode of the waste energy recovery equipment in real time, reducing the load on the equipment and lowering the transmission flow rate of waste heat. After these adjustments, the conversion efficiency of the waste energy recovery equipment increased by 3%, reducing energy losses from 5kWh to 3kWh, thereby recovering more waste heat.

[0182] Finally, by real-time monitoring and calculation of energy loss, and dynamic adjustment of the working mode of the recovery equipment, the system can significantly reduce the loss of waste energy and maximize the recovery efficiency of waste heat; at the same time, by adjusting parameters such as load and flow rate, the system can effectively improve the energy efficiency of the recovery equipment, reduce the loss in the energy conversion process, and improve the overall efficiency of building energy management; and the system realizes intelligent waste energy recovery by adaptively adjusting and optimizing the working mode of the equipment; whether it is the adjustment of load, flow rate or heat exchange mode, it can achieve a dynamic balance of energy efficiency and improve the recycling rate of energy; ultimately, this process can significantly reduce the energy consumption of the building, optimize energy use, reduce waste, bring higher energy utilization efficiency, and improve the sustainability of the building.

[0183] In this embodiment, based on a preset temperature control device in a smart building, the step S1 of collecting the type of waste energy generated by the temperature control device for the smart building further includes:

[0184] S11: Obtain the type of the cold and heat source of the temperature control device, wherein the type of the cold and heat source specifically includes performance, application scope and operation characteristics;

[0185] S12: Determine whether the cold and heat source types can coordinate the real-time load demand of the smart building;

[0186] S13: If not, identify the load area of ​​the smart building, detect the operating efficiency of the cold and heat sources in the load area, and based on the operating efficiency of the cold and heat sources, schedule the waste energy of the temperature control device to connect with the cold and heat source equipment in the load area.

[0187] In this embodiment, the system obtains the cold and heat source types of the temperature control equipment, which specifically include performance, scope of application and operating characteristics, and then the system determines whether these cold and heat source types can coordinate the real-time load requirements of the intelligent building to execute the corresponding steps; for example, when the system determines that the cold and heat source types of the temperature control equipment can coordinate the real-time load requirements of the intelligent building, the system will believe that these temperature control equipment can provide sufficient cold and heat in the current environment and can meet the temperature control requirements of the building. The system will dynamically adjust the temperature control distribution of each building area according to the capacity of the temperature control equipment. For example, if the cooling demand of a certain floor area is high, the system will increase the load of the chiller or cooling equipment, and the rest When the demand on other floors is lower, the load is appropriately reduced. At the same time, according to the matching of the cold and heat source types, the operating status of the temperature control equipment is automatically adjusted, such as starting or shutting down certain equipment and adjusting the output power of the equipment to ensure that the temperature control demand is met while avoiding energy waste. In addition, the temperature control effect of the building is continuously monitored in real time during operation, and adjustments are made according to real-time load data and environmental conditions (such as external climate change, indoor temperature change, etc.) to ensure that the cold and heat source equipment operates efficiently and maintains load balance. For example, when the system determines that the cold and heat source types of the temperature control equipment cannot coordinate the real-time load demand of the smart building, the system will consider that these temperature control devices cannot provide enough cold and heat in the current environment. The system will identify the load areas of the smart building, detect the operating efficiency of the cold and heat sources in these load areas, and based on the different operating efficiencies of the cold and heat sources, dispatch the waste energy of the temperature control equipment to connect with the cold and heat source equipment in the load area; by identifying the load area and monitoring the operating efficiency of the cold and heat source equipment, the system can ensure that even if some temperature control equipment cannot provide enough cold and heat, the system can adjust the equipment or introduce waste energy as needed to meet the temperature control needs of the building area, ensuring that the temperature control needs inside the building are not affected at any time, avoiding unstable temperature control or abnormal temperature due to insufficient cold and heat source equipment, and at the same time, by identifying the operating efficiency of the cold and heat sources in the load area and dynamically dispatching the temperature control equipment Waste energy can improve energy utilization. For example, if the efficiency of the cold and heat source equipment in a certain area is low, energy can be supplemented by waste heat or waste cold source, reducing the consumption of traditional energy, maximizing the use of waste energy, reducing unnecessary energy waste, improving the overall energy efficiency of the building system, and reducing operating costs. By connecting the waste energy of the equipment with the cold and heat source equipment through real-time monitoring and scheduling, the system can adaptively adjust under various load demands and environmental changes, enhancing the building system's ability to respond to sudden load changes, and ensuring that the building can always operate efficiently and stably under different usage scenarios and environmental conditions, thereby improving the user experience and avoiding overload or energy waste of temperature control equipment.

[0188] Reference Figure 2 , is an efficient and energy-saving intelligent building temperature control management system in one embodiment of the present invention, comprising:

[0189] The collection module 10 is used to collect the waste energy types generated by the temperature control device for the smart building based on the preset temperature control device in the smart building, wherein the waste energy types specifically include waste heat, waste gas and waste water;

[0190] A determination module 20, used to determine whether the waste energy type matches the recyclable energy preset in the smart building;

[0191] The execution module 30 is used to, if yes, apply the preset sensor of the smart building to collect the waste energy parameters of the waste energy source, identify the preset temperature control requirements of the smart building for the building area in real time, dynamically switch the working mode of the preset energy storage device according to the temperature control requirements, and obtain the stored waste energy of the energy storage device, wherein the waste energy parameters specifically include the waste energy source, waste energy temperature and waste energy flow, and the working mode specifically includes cooling mode, heating mode and mixed mode;

[0192] A second judgment module 40 is used to judge whether the flow path of the stored waste energy matches the corresponding path of the temperature control requirement;

[0193] The second execution module 50 is used to obtain the load data of the smart building if a match is found, detect the thermal energy conduction efficiency of the energy storage device according to the load data, and dynamically adjust the flow parameters of the stored waste energy based on the thermal energy conduction efficiency, wherein the flow parameters specifically include flow velocity, laminar flow and turbulence.

[0194] In this embodiment, the collection module 10 collects the waste energy types generated by the temperature control devices in the smart building based on the temperature control devices pre-installed in the smart building. The waste energy types specifically include waste heat, waste gas and waste water. Then the judgment module 20 judges whether these waste energy types match the recyclable energy pre-set in the smart building to execute the corresponding steps. For example, when the system determines that the waste energy types generated by the temperature control devices in the smart building cannot match the recyclable energy pre-set in the smart building, the system will consider that the waste energy resources cannot be directly or effectively used in the energy circulation system of the building, resulting in the inability to reuse energy through the existing waste energy recovery mechanism. The system will consider the supplement of external energy, such as using external energy such as electricity and natural gas to maintain the operation of the temperature control system. In particular, when the waste energy cannot be efficiently recovered, the waste energy is stored through energy storage devices (such as batteries, heat storage tanks, refrigeration devices, etc.) and used at an appropriate time in the future. At the same time, the current waste energy recovery technology cannot handle specific types of waste energy (such as waste gas or waste water), and it will recommend managers Upgrading existing recycling technologies, such as adopting more efficient waste gas treatment systems (such as cogeneration systems), or recovering heat from waste water through cooling technology, and adjusting the settings of temperature control equipment to reduce the amount of waste energy generated, or changing the working mode of the equipment to minimize its dependence on unmatched waste energy types, such as reducing hot water generation or reducing the amount of waste gas emissions from the equipment; for example, when the system determines that the type of waste energy generated by the temperature control equipment for the smart building can match the recyclable energy pre-set by the smart building, the execution module 30 will consider that the waste energy resources can be directly or effectively used in the energy recycling system of the building, and the system will use the pre-set sensors in the smart building to collect waste energy parameters of the waste energy, the waste energy parameters specifically include waste energy source, waste energy temperature and waste energy flow, and identify the pre-set temperature control requirements of the smart building for the building area in real time, and dynamically switch the pre-set working mode of the energy storage device according to different temperature control requirements, the working mode specifically includes cooling mode, heating mode and mixed mode, to obtain the stored waste energy of these energy storage devices;The system can accurately identify the temperature control requirements of building areas by collecting waste energy parameters (such as waste energy source, waste energy temperature and waste energy flow) in real time. This intelligent sensing function ensures that the system dynamically adjusts the working mode according to actual needs, thereby providing accurate temperature control services. This flexibility can significantly improve the comfort of various areas in the building. At the same time, the precise matching of waste energy and temperature control requirements ensures that waste energy can be used where it is most needed. For example, waste heat can be directly used in areas that need heating, waste heat in exhaust gas can be used to heat water or air, and heat in wastewater can be used for floor heating or other heating systems. This directional use of waste energy can significantly improve the efficiency of energy recovery and reduce additional energy. Source consumption, and different areas in the building may have different temperature control requirements. Traditional temperature control equipment is usually unable to adjust quickly according to changes, and the system can flexibly adjust the working mode according to the actual needs of each area by collecting waste energy parameters in real time. This adaptive temperature control capability can make the entire building temperature control system more flexible and able to meet different needs in different time periods and environments; then the second judgment module 40 determines whether the flow path of the stored waste energy matches the corresponding path of the temperature control requirement to execute the corresponding steps; for example, when the system determines that the stored waste energy cannot match the corresponding path of the temperature control requirement, the system will believe that the stored waste energy may not be effectively applied Due to the current temperature control requirements, the efficiency of the energy recovery system is reduced or it cannot function fully. The system will re-plan the flow path of waste energy to ensure that the waste energy can be directed to the areas with the most concentrated temperature control requirements, such as adjusting the layout of pipelines, air ducts or other energy transmission systems so that waste energy can flow efficiently to areas that require temperature control. At the same time, the capacity of energy storage equipment or performance of energy storage devices can be increased, such as increasing the capacity of hot water storage tanks, thermoelectric conversion equipment or cold energy storage systems, so that they can effectively store more waste energy and release it quickly when needed. If the waste energy flow path cannot match a single temperature control requirement, the system can solve it through a hybrid mode. For example, if there is both cooling demand and heating demand in one area, the system can adjust the use of waste energy at the same time, use waste heat for heating and waste cold energy for cooling through a mixed mode, maximize the use of waste energy, and ensure that the temperature control needs of each area are met; for example, when the system determines that the stored waste energy can match the corresponding path of the temperature control demand, the second execution module 50 will think that the stored waste energy can be effectively applied to the current temperature control demand, and the system will obtain the load data of the smart building, detect the heat energy transfer efficiency of the energy storage device based on the load data, and dynamically adjust the flow parameters of the stored waste energy based on different heat energy conduction efficiencies. The flow parameters specifically include flow velocity, laminar flow and turbulence;The system ensures efficient conduction of waste energy in the temperature control system by dynamically adjusting the flow parameters of waste energy. For example, the adjustment of flow rate can ensure the appropriate speed of heat transfer, avoiding heat loss or lag caused by too slow flow, and insufficient or uneven heat transfer caused by too fast flow. The adjustment of laminar flow and turbulent flow can optimize the heat exchange performance of the fluid and improve the overall thermal energy utilization efficiency of the system. At the same time, dynamic adjustment of flow parameters (such as flow rate and flow state) can help the system respond to temperature control needs more accurately. When certain areas of the building require rapid temperature changes, the system can adjust the flow rate or switch between laminar flow and Turbulent flow ensures that the temperature is quickly adjusted to the required range. Conversely, if a relatively stable temperature adjustment is required, the system can reduce the flow rate or adjust it to a laminar flow state to ensure that the heat energy is slowly and evenly transferred. By optimizing the flow parameters, the system can ensure that the stored waste energy is released to the required area at the right time and in a suitable manner. For example, the adjustment of the flow rate can help the waste energy to be quickly transferred to the area with a large temperature control load, thereby ensuring that the waste energy is effectively utilized. The adjustment of laminar and turbulent flow can further optimize the heat exchange efficiency, so that the waste energy is maximized. Convert into the required temperature control energy. ;

[0195] In this embodiment, the execution module further includes:

[0196] An identification unit, configured to identify energy characteristics of the waste heat recovered by the energy storage device based on the waste heat, wherein the energy characteristics specifically include a source of the waste heat, a duration of the waste heat, and a quantity of the waste heat;

[0197] A determination unit, configured to determine whether the energy characteristic matches a preset heat load demand of the building area, wherein the heat load demand specifically includes a space heating demand and a cooling demand;

[0198] An execution unit is used to obtain the temperature requirement range of the building area, and if so, generate a heat output fluctuation value of the waste heat to the building area according to the temperature characteristics of the waste heat, and dynamically balance the waste energy recovery amount of the building area according to the heat output fluctuation value, wherein the temperature characteristics specifically include temperature range, fluctuation conditions and heat release mode.

[0199] In this embodiment, the system identifies the energy characteristics of the waste heat based on the waste heat recovered by the energy storage device, and the energy characteristics specifically include the source of the waste heat, the duration of the waste heat, and the amount of waste heat. Then the system determines whether these energy characteristics match the pre-set heat load requirements of the building area, and the heat load requirements specifically include space heating requirements and cooling requirements, so as to execute corresponding steps; for example, when the system determines that the energy characteristics of the waste heat cannot match the pre-set heat load requirements of the building area, the system will consider that the characteristics of the waste heat (such as source, duration, heat size, etc.) do not match the temperature control requirements of the target area, which may result in the inability to efficiently or effectively utilize the waste heat. To meet the preset temperature control target, the system will balance thermal energy through energy storage devices (such as heat accumulators, phase change materials, etc.), store excess heat and release it when it is needed later, or balance the insufficient heat through external energy supplementation. At the same time, the availability of waste heat is regularly evaluated and its use strategy is adjusted. For example, the system can select more suitable areas for temperature control scheduling according to the different energy characteristics of waste heat, or give priority to it in secondary areas to avoid waste. It also monitors the temperature control requirements of building areas in real time and dynamically adjusts it according to the actual availability of waste heat. For example, when waste heat is available, the temperature control requirements are adjusted to a suitable range, and when waste heat is insufficient, Through the supplement of other energy systems, the temperature control stability of the building area is ensured; for example, when the system determines that the energy characteristics of these waste heat can match the pre-set heat load requirements of the building area, the system will think that the smart building can effectively use the waste heat to meet the temperature control target, and the system will obtain the temperature demand range of the building area, and generate the heat output fluctuation value of the waste heat to the building area according to the temperature characteristics of these waste heat, which specifically include temperature range, fluctuation and heat release mode, and dynamically balance the waste energy recovery amount of the building area according to the heat output fluctuation value; the system obtains the temperature characteristics of the waste heat in real time (including temperature range, fluctuation and heat release mode) mode), can more accurately evaluate whether the waste heat meets the expected temperature control needs, and dynamically adjust the use of waste heat to avoid energy waste. At the same time, according to the temperature characteristics of waste heat, the system can generate heat output fluctuation values, and comprehensively consider the output characteristics of waste heat in different time periods and environmental conditions (such as fluctuations, instantaneous changes, etc.), so as to more accurately predict the effective utilization cycle of waste heat, and obtain the temperature and heat change data of waste heat in real time, automatically identify and adjust the operating status of temperature control equipment according to temperature control needs, and improve the intelligence level of temperature control system. The dynamic adjustment and feedback mechanism of waste heat makes the building temperature control system more adaptable and intelligent.

[0200] In this embodiment, it also includes:

[0201] A detection module, configured to detect heat load data of a functional zone preset in the building area based on the functional zone, wherein the functional zone specifically includes an office, a conference room, a restaurant, a corridor and a rest area, and the heat load data specifically includes a usage frequency, a space size and a number of equipment;

[0202] A third judgment module is used to judge whether the heat load data matches the temperature control requirement;

[0203] The third execution module is used to, if not, perform hierarchical management on the temperature control demand, build the temperature control priority of the functional area, dynamically adjust the regional temperature of the functional area by applying a preset demand response strategy based on the temperature control priority, and generate the real-time energy demand of the building area according to the regional temperature.

[0204] In this embodiment, the system detects the heat load data of these functional division areas based on the pre-set functional division areas of the building area, which specifically include offices, conference rooms, restaurants, corridors and rest areas, and then the system determines whether these heat load data match the temperature control requirements to execute corresponding steps; for example, when the system determines that the heat load data of these functional division areas can match the temperature control requirements, the system will believe that it has been able to identify and meet the temperature control requirements of each functional area, and waste energy recovery and energy supply can effectively correspond to the heat load requirements of different areas. The system will confirm that the heat load data matches the temperature control requirements, that is, the appropriate waste heat or energy can be allocated to the corresponding area on demand. Based on real-time heat load data, the system can dynamically Adjust the waste heat recovery efficiency. If the demand in a certain area is high, the system may need to increase the waste heat recovery ratio in that area and reduce the waste heat supply in other areas. At the same time, ensure that the flow path of waste heat matches the heat load demand of the target area. Dynamically adjust the flow parameters of thermal energy according to the heat load data, including flow rate, laminar or turbulent flow mode, to ensure efficient transmission of waste heat and avoid overheating or heat waste. Continuously monitor the temperature control status of each functional area to ensure that the temperature of each area is always maintained within the set range. If there is a deviation, the system will adjust the waste heat recovery amount or energy supply mode in time. According to the real-time temperature control requirements, the system will adaptively adjust the waste heat source, heat exchange rate and temperature control mode to ensure that the temperature requirements of each functional area are always met. ; For example, when the system determines that the heat load data of these functional areas cannot match the temperature control requirements, the system will consider that it cannot meet the temperature control requirements of each functional area. The system will manage the temperature control requirements in a hierarchical manner, build the temperature control priorities of these functional areas, and dynamically adjust the regional temperatures of these functional areas based on different temperature control priorities using pre-set demand response strategies. According to different regional temperatures, the real-time energy demand of the building area is generated; by managing the temperature control requirements in a hierarchical manner, the system can identify which areas have more urgent or important temperature control requirements. For example, conference rooms usually need to maintain a more precise temperature, while corridors and rest areas have relatively loose temperature control requirements. The system adjusts waste energy recovery and energy distribution according to these priorities. The system can dynamically adjust the temperature of different areas through demand response strategies. For example, when the waste heat of the air-conditioning system cannot meet the needs of all areas, the system will adjust the temperature of each area according to the priority of the functional area to ensure that the most important areas (such as offices or conference rooms) are always in a suitable temperature control state. In addition, when the temperature control needs cannot be fully matched, the system can avoid energy waste by optimizing the allocation of waste heat resources and adjusting the temperature control priority. The system can adjust the strategy according to the temperature control needs and heat load data. For example, if the temperature control needs of a certain area change (for example, the temperature suddenly needs to be lowered to cope with changes in the external environment), the system can respond quickly and adjust the energy supply to adapt to these changes.

[0205] In this embodiment, it also includes:

[0206] A second collection module is used to collect key indicator information of the load data based on a collection cycle preset by the smart building, wherein the key indicator information specifically includes power consumption, equipment operation time, regional temperature and humidity;

[0207] A fourth judgment module is used to judge whether the key indicator information matches the load data;

[0208] The fourth execution module is used to identify the energy waste points of the smart building according to the key indicator information, calculate the corresponding energy efficiency ratio information according to the energy waste points, and generate energy efficiency under different load conditions through the energy efficiency ratio information.

[0209] In this embodiment, the system collects key indicator information of load data based on the collection cycle pre-set by the smart building. The key indicator information specifically includes power consumption, equipment operating time, regional temperature and humidity. Then the system determines whether these key indicator information can match the load data to execute the corresponding steps; for example, when the system determines that the key indicator information of the load data cannot match the load data, the system will believe that there is an inconsistency or deviation between the current load data and the actual load demand, which may cause unreasonable energy allocation or the temperature control system to be unable to effectively respond to the current demand. The system will perform data verification to confirm whether the collected data is accurate. If the sensor is found In case of failure or data deviation, the sensor should be adjusted or replaced in time, and the data should be collected again. At the same time, adjustments should be made based on real-time data, and the temperature control strategy should be temporarily optimized or the priority of temperature control needs should be adjusted. For example, if the temperature in some areas is too high or too low, the system will relieve the load pressure by adjusting the cooling / heating intensity or switching to backup equipment, and enable emergency mode, automatically switch to low-energy mode or use available backup energy (such as waste heat) to ensure basic temperature control needs, adjust the energy allocation of each area, reduce the temperature control intensity of low-priority areas, and give priority to the temperature control needs of key areas, thereby optimizing the overall energy efficiency. For example, when the system determines that the key indicator signal of the load data is too high or too low, the system will automatically switch to low-energy mode or use available backup energy (such as waste heat) to ensure basic temperature control needs. The information can match the load data. At this time, the system will think that the current load data is consistent with the actual load. The system will identify the energy waste points of the smart building based on these key indicator information, calculate the corresponding energy efficiency ratio information according to different energy waste points, and generate energy efficiency under different load conditions through the energy efficiency ratio information; the system can accurately identify the energy waste points in the building by matching the load data with the key indicator information in real time, such as the inefficient operation of temperature control equipment, lighting systems or other facilities. These waste points usually lead to unnecessary energy consumption. After identifying these waste points, the system can optimize the operation strategy of the equipment based on the energy efficiency ratio data to improve the overall energy use Efficiency. By calculating the energy efficiency ratio, the operating mode can be adjusted according to the equipment efficiency under different load conditions. For example, under high load conditions, cooling or heating may need to be strengthened, while under low load conditions, the system will reduce energy consumption by optimizing equipment operation. Through these dynamic adjustments, the system can ensure that the equipment always works at the best efficiency and avoid unnecessary energy waste. Moreover, by acquiring and analyzing key indicator data in real time, the system can accurately grasp the energy flow in the building and provide detailed energy usage reports. This data-driven management method makes building energy management more accurate and efficient, and helps decision makers make data-based optimization adjustments.

[0210] In this embodiment, the judgment module further includes:

[0211] An acquisition unit, configured to acquire the recovery efficiency of the temperature control device in converting waste energy based on the minimum energy efficiency requirement corresponding to the recyclable energy;

[0212] A second judgment unit, used to judge whether the recovery efficiency reaches the minimum energy efficiency requirement;

[0213] The second execution unit is used to identify the working period of the temperature control device, detect the total energy recovery efficiency of the temperature control device according to the working period, input the total energy recovery efficiency to the energy storage device, and convert it into corresponding storable waste energy in the energy storage device.

[0214] In this embodiment, the system obtains the recovery efficiency of the temperature control device converted into waste energy based on the minimum energy efficiency requirement corresponding to the recyclable energy, and then the system determines whether the recovery efficiency meets the minimum energy efficiency requirement to execute the corresponding steps; for example, when the system determines that the recovery efficiency of the temperature control device converted into waste energy does not meet the minimum energy efficiency requirement corresponding to the recyclable energy, the system will consider that the efficiency of the current temperature control device in converting waste energy into recyclable energy does not meet the set minimum standard, which may lead to insufficient energy recovery in the building and waste of energy. The system will check the operating status of the waste energy recovery device (such as heat exchanger, heat pump, etc.) in the temperature control device to confirm whether there is a performance bottleneck, and inspect and maintain the temperature control device, especially the waste energy recovery system. Core components (such as heat pumps, heat exchangers, etc.) are ensured to be in the best operating state to reduce the decline in recovery efficiency due to equipment aging or failure. At the same time, the operating mode of the temperature control equipment is dynamically adjusted (such as switching to high-efficiency mode, increasing heat exchange rate, etc.). According to the changes in indoor temperature and humidity, the recovery efficiency is adjusted in real time, and the most appropriate operating mode is selected to improve efficiency. By adjusting the flow path of waste energy, the utilization of waste heat, waste water, and waste gas is optimized. For example, by optimizing the pipeline network or adding diverters to reasonably distribute waste energy to different areas, the heat transfer efficiency is improved, and a multi-stage recovery system is introduced to recycle waste energy multiple times. For example, most of the waste heat can be recovered through a primary system, and then the remaining waste heat can be used to drive other systems to further improve the overall recycling efficiency; for example, when the system determines that the recycling efficiency of the temperature control equipment converted into waste energy can meet the minimum energy efficiency requirements corresponding to recyclable energy, the system will consider that the energy recovery in the building is sufficient, and the system will identify the working hours of these temperature control equipment, detect the total recycling energy efficiency of these temperature control equipment according to different working hours, input the total recycling energy efficiency into the energy storage equipment, and convert it into the corresponding storable waste energy in the energy storage equipment; by identifying the working hours of the temperature control equipment, the system can adjust the waste energy recovery and storage strategy in different time periods. For example, during high-demand periods (such as winter heating), the energy storage equipment can be adjusted to operate efficiently during low-demand periods (such as nighttime), thereby balancing supply and demand. At the same time, by converting waste energy into storable energy and storing it, the building It can significantly reduce energy waste and lower operating costs, especially when the system can detect and optimize the conversion efficiency of energy storage equipment in real time, the energy self-sufficiency rate will be greatly improved, and the recovered energy efficiency data will be input into the energy storage equipment. The system can dynamically adjust the working state of the energy storage equipment (such as charging and discharging mode) to ensure that the energy storage equipment can achieve maximum benefits under different working hours and load conditions. This can extend the service life of the energy storage equipment and ensure that it provides timely support during peak demand. By converting and storing waste energy, the system can balance energy supply and demand fluctuations and avoid instability caused by energy fluctuations. For example, during short-term energy demand peaks, energy storage equipment can quickly provide energy, reduce dependence on the main power grid, and ensure stable energy supply in the building.

[0215] In this embodiment, the second determination module further includes:

[0216] a second identification unit, configured to identify a storage form of the stored waste energy, and obtain a required time for transmitting the stored waste energy to the waste energy recovery device based on the storage form, wherein the storage form specifically includes thermal energy, electrical energy and mechanical energy;

[0217] A third judging unit, used to judge whether the required time exceeds a preset time;

[0218] The third execution unit is used to monitor the energy consumption change information of the stored waste energy in real time according to the required time, calculate the energy loss of the stored waste energy according to the energy consumption change information, and dynamically adjust the available energy efficiency of the waste energy recovery equipment according to the energy loss, wherein the energy consumption change information specifically includes storage energy, energy storage efficiency and energy conversion efficiency.

[0219] In this embodiment, the system identifies the storage form of the stored waste energy, which specifically includes thermal energy, electrical energy, and mechanical energy, and obtains the time required for the stored waste energy to be transmitted to the waste energy recovery device based on these storage forms. The system then determines whether the required time exceeds the preset time to execute the corresponding steps. For example, when the system determines that the time required for the stored waste energy to be transmitted to the waste energy recovery device does not exceed the preset time, the system will believe that the stored waste energy can be smoothly transmitted to the waste energy recovery device within the predetermined time, and the waste energy conversion process can be completed within the specified time. The system will continue to operate the waste energy recovery device and start the waste energy conversion on time, and ensure that the waste energy is quickly and efficiently converted through optimized scheduling. It can be converted into usable energy to support temperature control or other needs in building areas, and automatically adjust the working mode of energy storage equipment (such as charging, discharging, standby, etc.) to ensure that waste energy is optimally stored and released. According to the current status of waste energy recovery equipment and energy storage equipment, the system can optimize the waste energy allocation strategy, flexibly adjust the energy supply of each building area, ensure that the energy needs of each functional area (such as office, conference room, etc.) are fully met, and monitor the status of waste energy transmission and conversion in real time, and regularly adjust the scheduling strategy to ensure that the waste energy recovery and utilization process always remains efficient. Through continuous data feedback, the system can further optimize energy efficiency management; for example, when the system determines that the stored waste energy has been transmitted to the waste energy recovery equipment, the system can automatically adjust the energy supply of each building area, and ensure that the energy demand of each functional area (such as office, conference room, etc.) is fully met. If the time required for the waste energy collection device exceeds the preset time, the system will consider that the stored waste energy cannot be smoothly transmitted to the waste energy recovery device. The system will monitor the energy consumption change information of the stored waste energy in real time according to the required time. The energy consumption change information specifically includes the storage capacity, energy storage efficiency and energy conversion efficiency. The energy loss of the stored waste energy is calculated based on the energy consumption change information, and the available energy efficiency of the waste energy recovery device is dynamically adjusted according to the energy loss. By real-time monitoring of the energy consumption change information of the stored waste energy (including storage capacity, energy storage efficiency and energy conversion efficiency), the system can timely identify possible delays or efficiency reductions in the waste energy transmission process, ensure that the energy recovery process is always kept within the preset time range, and at the same time adjust the energy efficiency according to the energy consumption. After calculating the energy loss of stored waste energy based on change information, the system can adjust the energy efficiency settings or operating parameters of the waste energy recovery equipment to optimize the recovery efficiency. For example, it may adjust the power settings of the recovery equipment, the transmission pipeline pressure or other related variables to ensure that the equipment can operate with minimal energy loss. In addition, real-time calculation and feedback of energy loss allow the system to finely control the transmission path, rate and equipment operating mode of waste energy to avoid energy shortages or waste caused by slow transmission or reduced efficiency, and adjust the available energy efficiency of the waste energy recovery equipment to ensure that different building areas (such as offices, conference rooms, etc.) obtain the required energy supply in a short time, thereby preventing energy shortages due to insufficient waste energy recovery.

[0220] In this embodiment, the acquisition module further includes:

[0221] A second acquisition unit is used to acquire the type of cold and hot sources of the temperature control device, wherein the type of cold and hot sources specifically includes performance, application scope and operation characteristics;

[0222] A fourth judgment unit, used to judge whether the cold and heat source type can coordinate the real-time load demand of the intelligent building;

[0223] The fourth execution unit is used to identify the load area of ​​the intelligent building, detect the operating efficiency of the cold and heat sources in the load area, and schedule the waste energy of the temperature control equipment to connect with the cold and heat source equipment in the load area based on the operating efficiency of the cold and heat sources.

[0224] In this embodiment, the system obtains the cold and heat source types of the temperature control equipment, which specifically include performance, scope of application and operating characteristics, and then the system determines whether these cold and heat source types can coordinate the real-time load requirements of the intelligent building to execute the corresponding steps; for example, when the system determines that the cold and heat source types of the temperature control equipment can coordinate the real-time load requirements of the intelligent building, the system will believe that these temperature control equipment can provide sufficient cold and heat in the current environment and can meet the temperature control requirements of the building. The system will dynamically adjust the temperature control distribution of each building area according to the capacity of the temperature control equipment. For example, if the cooling demand of a certain floor area is high, the system will increase the load of the chiller or cooling equipment, and the rest When the demand on other floors is lower, the load is appropriately reduced. At the same time, according to the matching of the cold and heat source types, the operating status of the temperature control equipment is automatically adjusted, such as starting or shutting down certain equipment and adjusting the output power of the equipment to ensure that the temperature control demand is met while avoiding energy waste. In addition, the temperature control effect of the building is continuously monitored in real time during operation, and adjustments are made according to real-time load data and environmental conditions (such as external climate change, indoor temperature change, etc.) to ensure that the cold and heat source equipment operates efficiently and maintains load balance. For example, when the system determines that the cold and heat source types of the temperature control equipment cannot coordinate the real-time load demand of the smart building, the system will consider that these temperature control devices cannot provide enough cold and heat in the current environment. The system will identify the load areas of the smart building, detect the operating efficiency of the cold and heat sources in these load areas, and based on the different operating efficiencies of the cold and heat sources, dispatch the waste energy of the temperature control equipment to connect with the cold and heat source equipment in the load area; by identifying the load area and monitoring the operating efficiency of the cold and heat source equipment, the system can ensure that even if some temperature control equipment cannot provide enough cold and heat, the system can adjust the equipment or introduce waste energy as needed to meet the temperature control needs of the building area, ensuring that the temperature control needs inside the building are not affected at any time, avoiding unstable temperature control or abnormal temperature due to insufficient cold and heat source equipment, and at the same time, by identifying the operating efficiency of the cold and heat sources in the load area and dynamically dispatching the temperature control equipment Waste energy can improve energy utilization. For example, if the efficiency of the cold and heat source equipment in a certain area is low, energy can be supplemented by waste heat or waste cold source, reducing the consumption of traditional energy, maximizing the use of waste energy, reducing unnecessary energy waste, improving the overall energy efficiency of the building system, and reducing operating costs. By connecting the waste energy of the equipment with the cold and heat source equipment through real-time monitoring and scheduling, the system can adaptively adjust under various load demands and environmental changes, enhancing the building system's ability to respond to sudden load changes, and ensuring that the building can always operate efficiently and stably under different usage scenarios and environmental conditions, thereby improving the user experience and avoiding overload or energy waste of temperature control equipment.

[0225] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An efficient and energy-saving intelligent building temperature control management method, characterized in that: The following steps are involved: Based on a preset temperature control device in a smart building, the waste energy type generated by the temperature control device for the smart building is collected, wherein the waste energy type specifically includes waste heat released by the air conditioning system and kitchen equipment in the building when they are working; Determining whether the waste energy type matches the preset recyclable energy of the smart building; If so, the preset sensor of the smart building is applied to collect waste energy parameters of waste energy, and the preset temperature control requirements of the smart building for the building area are identified in real time. According to the temperature control requirements, the working mode of the preset energy storage device is dynamically switched to obtain the stored waste energy of the energy storage device, wherein the waste energy parameters specifically include waste energy source, waste energy temperature and waste energy flow, and the working modes specifically include cooling mode, heating mode and mixed mode; determining whether the flow path of the stored waste energy matches the corresponding path of the temperature control requirement; If they match, the load data of the smart building is obtained, the heat energy conduction efficiency of the energy storage device is detected according to the load data, and the flow parameters of the stored waste energy are dynamically adjusted based on the heat energy conduction efficiency, wherein the flow parameters specifically include flow velocity, laminar flow and turbulent flow; The step of dynamically switching the working mode of the preset energy storage device according to the temperature control requirement to obtain the stored waste energy of the energy storage device also includes: Based on the waste heat recovered by the energy storage device, identifying the energy characteristics of the waste heat, wherein the energy characteristics specifically include the source of the waste heat, the duration of the waste heat, and the amount of the waste heat; Determining whether the energy characteristics match a preset heat load demand of the building area, wherein the heat load demand specifically includes space heating demand and cooling demand; If so, the temperature requirement range of the building area is obtained, and the heat output fluctuation value of the waste heat to the building area is generated according to the temperature characteristics of the waste heat. Based on the heat output fluctuation value, the waste energy recovery amount of the building area is dynamically balanced, wherein the temperature characteristics specifically include temperature range, fluctuation conditions and heat release mode.

2. The efficient and energy-saving intelligent building temperature control management method according to claim 1 is characterized in that: Before the step of real-time identifying the temperature control requirements of the intelligent building for the preset building area, the method further includes: Based on the preset functional division areas of the building area, detecting the heat load data of the functional division areas, wherein the functional division areas specifically include offices, conference rooms, restaurants, corridors and rest areas, and the heat load data specifically include usage frequency, space size and number of equipment; Determining whether the heat load data matches the temperature control requirement; If not, the temperature control demand is managed in a hierarchical manner, and the temperature control priority of the functional area is constructed. Based on the temperature control priority, the regional temperature of the functional area is dynamically adjusted using a preset demand response strategy, and the real-time energy demand of the building area is generated according to the regional temperature.

3. The efficient and energy-saving intelligent building temperature control management method according to claim 1 is characterized in that: Before the step of obtaining the load data of the intelligent building, the method further includes: Based on the preset collection cycle of the smart building, collect key indicator information of the load data, wherein the key indicator information specifically includes power consumption, equipment operation time, regional temperature and humidity; Determining whether the key indicator information matches the load data; If possible, the energy waste points of the smart building are identified according to the key indicator information, the corresponding energy efficiency ratio information is calculated based on the energy waste points, and the energy efficiency under different load conditions is generated through the energy efficiency ratio information.

4. The efficient and energy-saving intelligent building temperature control management method according to claim 1 is characterized in that: The step of determining whether the waste energy type matches the recyclable energy preset in the smart building further includes: Based on the minimum energy efficiency requirements corresponding to the recyclable energy, obtaining the recovery efficiency of the temperature control device in converting waste energy; Determining whether the recycling efficiency meets the minimum energy efficiency requirement; If so, the working period of the temperature control device is identified, the total energy recovery efficiency of the temperature control device is detected according to the working period, the total energy recovery efficiency is input into the energy storage device, and converted into corresponding storable waste energy in the energy storage device.

5. The efficient and energy-saving intelligent building temperature control management method according to claim 1 is characterized in that: The step of determining whether the flow path of the stored waste energy matches the corresponding path of the temperature control requirement further includes: Identifying a storage form of the stored waste energy, and obtaining a required time for transmitting the stored waste energy to a waste energy recovery device based on the storage form, wherein the storage form specifically includes thermal energy, electrical energy, and mechanical energy; Determine whether the required time exceeds the preset time; If so, the energy consumption change information of the stored waste energy is monitored in real time according to the required time, the energy loss of the stored waste energy is calculated based on the energy consumption change information, and the available energy efficiency of the waste energy recovery equipment is dynamically adjusted according to the energy loss, wherein the energy consumption change information specifically includes storage energy, energy storage efficiency and energy conversion efficiency.

6. The efficient and energy-saving intelligent building temperature control management method according to claim 1 is characterized in that: The step of collecting the waste energy type generated by the temperature control device for the smart building based on the preset temperature control device in the smart building also includes: Obtaining the type of cold and hot sources of the temperature control device, wherein the type of cold and hot sources specifically includes performance, scope of application, and operating characteristics; Determine whether the type of cold and hot sources can coordinate the real-time load demand of the smart building; If not, identify the load area of ​​the smart building, detect the operating efficiency of the cold and heat sources in the load area, and based on the operating efficiency of the cold and heat sources, schedule the waste energy of the temperature control equipment to connect with the cold and heat source equipment in the load area.

7. An efficient and energy-saving intelligent building temperature control management system, characterized in that: include: A collection module, for collecting, based on a preset temperature control device in a smart building, the types of waste energy generated by the temperature control device for the smart building, wherein the types of waste energy specifically include waste heat released by an air conditioning system and kitchen equipment in the building when they are working; A judgment module, used to judge whether the waste energy type matches the recyclable energy preset in the smart building; an execution module, for, if so, applying a preset sensor of the smart building to collect waste energy parameters of waste energy, identifying in real time the preset temperature control requirements of the smart building for the building area, dynamically switching the working mode of the preset energy storage device according to the temperature control requirements, and obtaining the stored waste energy of the energy storage device, wherein the waste energy parameters specifically include waste energy source, waste energy temperature and waste energy flow, and the working modes specifically include cooling mode, heating mode and mixed mode; A second judgment module is used to judge whether the flow path of the stored waste energy matches the corresponding path of the temperature control requirement; A second execution module is used to obtain the load data of the smart building if a match is found, detect the heat energy conduction efficiency of the energy storage device according to the load data, and dynamically adjust the flow parameters of the stored waste energy based on the heat energy conduction efficiency, wherein the flow parameters specifically include flow velocity, laminar flow and turbulent flow; Wherein, the execution module also includes: An identification unit, configured to identify energy characteristics of the waste heat recovered by the energy storage device based on the waste heat, wherein the energy characteristics specifically include a source of the waste heat, a duration of the waste heat, and a quantity of the waste heat; A determination unit, configured to determine whether the energy characteristic matches a preset heat load demand of the building area, wherein the heat load demand specifically includes a space heating demand and a cooling demand; An execution unit is used to obtain the temperature requirement range of the building area, and if so, generate a heat output fluctuation value of the waste heat to the building area according to the temperature characteristics of the waste heat, and dynamically balance the waste energy recovery amount of the building area according to the heat output fluctuation value, wherein the temperature characteristics specifically include temperature range, fluctuation conditions and heat release mode.

8. The efficient and energy-saving intelligent building temperature control management system according to claim 7 is characterized in that: Also includes: A detection module, configured to detect heat load data of a functional zone preset in the building area based on the functional zone, wherein the functional zone specifically includes an office, a conference room, a restaurant, a corridor and a rest area, and the heat load data specifically includes a usage frequency, a space size and a number of equipment; A third judgment module is used to judge whether the heat load data matches the temperature control requirement; The third execution module is used to, if not, perform hierarchical management on the temperature control demand, build the temperature control priority of the functional area, dynamically adjust the regional temperature of the functional area by applying a preset demand response strategy based on the temperature control priority, and generate the real-time energy demand of the building area according to the regional temperature.

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