CN115808893A - Intelligent park energy-saving control method and device based on energy consumption optimization intelligent assembly - Google Patents

Abstract

The application relates to the technical field of data processing, in particular to an intelligent park energy-saving control method and device based on energy consumption optimization intelligent assembly. The method comprises the following steps: determining a standard regulation and control strategy of the equipment to be regulated and controlled based on a standard energy data interval corresponding to the equipment to be regulated and controlled in the park; acquiring actual energy data corresponding to equipment to be regulated, and determining an actual regulation strategy corresponding to the equipment to be regulated based on the actual energy data; determining equipment requirements corresponding to equipment to be regulated and controlled in a future preset time period; and performing strategy adjustment on the actual regulation strategy based on the standard regulation strategy and the equipment requirement to obtain a target regulation strategy corresponding to the equipment to be regulated in the future preset time period. The method and the device ensure that the determined target regulation and control strategy better conforms to the actual condition of the equipment to be regulated and controlled, so that the equipment to be regulated and controlled in the park can realize reasonable and effective distribution of resources when executing the target regulation and control strategy, the waste of the resources is prevented, and the resource utilization rate is improved.

Description

Smart park energy-saving control method and device based on energy-optimized intelligent assembly

technical field

The present application relates to the technical field of data processing, in particular to an energy-saving control method and device for smart parks based on energy-optimized intelligent assembly.

Background technique

With the continuous development of computer technology, computer technology is also more widely used in the field of equipment control in smart parks. Therefore, the precise control of various equipment in smart parks has become the first priority of each smart park by adjusting various parameters of equipment. Task.

In the existing technology, it is only possible to manually control various devices in the smart park based on the working experience of the staff. Therefore, it is necessary for the staff to regularly regulate and plan the various devices in the smart park one by one according to the needs, so as to ensure that all stable operation of the equipment.

However, due to the large number of devices in the smart park, the method of manual regulation requires a lot of manpower and time.

Contents of the invention

Based on this, it is necessary to address the above technical problems and provide an energy-saving control method and device for smart parks based on energy-optimized intelligent assembly that can realize rapid regulation of equipment in smart parks.

In the first aspect, the present application provides an energy-saving control method for smart parks based on energy-optimized intelligent assembly. The method includes:

Based on the standard energy data range corresponding to the equipment to be regulated in the park, determine the standard control strategy for the equipment to be regulated;

Obtain the actual energy data corresponding to the equipment to be regulated, and determine the actual control strategy corresponding to the equipment to be regulated based on the actual energy data;

Determine the equipment requirements corresponding to the equipment to be regulated within the future preset time period;

Based on the standard regulation strategy and equipment requirements, the actual regulation strategy is adjusted, and the target regulation strategy corresponding to the equipment to be regulated in the future preset time period is obtained. The target regulation strategy is used to control the energy saving of the smart park.

In one of the embodiments, the actual regulation strategy is adjusted based on the standard regulation strategy and equipment requirements, and the target regulation strategy corresponding to the device to be regulated in the future preset time period is obtained, including:

Based on the standard regulation strategy, the actual regulation strategy is adjusted for the first time, and the adjusted candidate regulation strategy is obtained;

Based on the equipment requirements, the candidate regulation strategy is adjusted twice to obtain the target regulation strategy corresponding to the device to be regulated.

In one of the embodiments, based on the requirements of the equipment, the candidate regulation strategy is adjusted twice to obtain the target regulation strategy corresponding to the device to be regulated, including:

Determine whether the candidate regulation strategy meets the equipment requirements;

If not, determine the candidate sub-strategies in the candidate regulation strategies that do not meet the requirements of the device; adjust the candidate sub-strategies in the candidate regulation strategies based on the device requirements to obtain the target regulation strategy.

In one of the embodiments, the candidate sub-strategies in the candidate regulation strategies are adjusted based on equipment requirements to obtain the target regulation strategy, including:

Determine the regulatory position corresponding to the candidate sub-strategy, and the equipment sub-requirements of the equipment requirements for different regulatory positions;

Based on the equipment sub-requirements, the candidate sub-strategies in the candidate regulation strategies are adjusted to obtain the target regulation strategy.

In one of the embodiments, the actual regulation strategy is initially adjusted based on the standard regulation strategy to obtain an adjusted candidate regulation strategy, including:

Identify strategies that differentiate standard regulation strategies from actual regulation strategies;

Based on the difference strategy, the actual regulation strategy is adjusted, and the adjusted candidate regulation strategy is obtained.

In one of the embodiments, based on the standard energy data interval corresponding to the equipment to be regulated in the smart park, the standard control strategy for the equipment to be regulated is determined, including:

Based on the historical control records and standard energy data intervals in the smart park, determine the historical control strategy corresponding to the equipment to be regulated;

Based on the standard energy data interval and historical control strategy, determine the standard control strategy corresponding to the equipment to be regulated.

In the second aspect, the present application also provides an energy-saving control device for smart parks based on energy-optimized intelligent assembly. The unit includes:

The first determination module is used to determine the standard control strategy of the equipment to be regulated based on the standard energy data range corresponding to the equipment to be regulated in the smart park;

The second determination module is used to obtain actual energy data corresponding to the equipment to be regulated, and determine an actual control strategy corresponding to the equipment to be regulated based on the actual energy data;

The third determination module is used to determine the equipment demand corresponding to the equipment to be regulated within the future preset time period;

The adjustment module is used to adjust the actual regulation strategy based on the standard regulation strategy and equipment requirements, and obtain the target regulation strategy corresponding to the equipment to be regulated in the future preset time period.

In a third aspect, the present application also provides a computer device. The computer device includes a memory and a processor. The memory stores a computer program. When the processor executes the computer program, the energy-saving control method for smart parks based on energy-optimized smart assembly in any embodiment of the first aspect above is implemented.

In a fourth aspect, the present application also provides a computer-readable storage medium. A computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the energy-saving control method for smart parks based on energy-optimized intelligent assembly in any embodiment of the above-mentioned first aspect is implemented.

In a fifth aspect, the present application also provides a computer program product. The computer program product includes a computer program, and when the computer program is executed by a processor, it implements the energy-saving control method for smart parks based on energy-optimized smart assembly according to any embodiment of the first aspect above.

According to the technical solution of this application, by determining the standard regulation strategy of the equipment to be regulated, it is ensured that the actual regulation strategy corresponding to the device to be regulated can be adjusted in the future, providing adjustment standards for the adjustment of the actual regulation strategy, and ensuring the adjusted target regulation The strategy can be more in line with the actual situation of the equipment to be regulated, which improves the adjustment accuracy of the equipment to be regulated; by determining the actual control strategy, the actual situation of the equipment to be regulated is obtained, ensuring the smooth determination of the follow-up target regulation strategy, making the target The control strategy can be more in line with the actual situation of the equipment to be regulated; by determining the requirements of the equipment and adjusting the actual control strategy according to the equipment requirements, the determination of the target control strategy is realized, and the efficiency of determining the target control strategy corresponding to the equipment to be regulated is ensured , which further ensures that the determined target regulation strategy is more in line with the actual situation of the equipment to be regulated, so that when the equipment to be regulated in the smart park implements the target regulation strategy, it can achieve a reasonable and effective allocation of resources, prevent resource waste, and improve resource utilization. utilization rate.

Description of drawings

FIG. 1 is an application environment diagram of an energy-saving control method for a smart park based on energy-optimized smart assembly provided by an embodiment of the present application;

FIG. 2 is a flow chart of an energy-saving control method for a smart park based on energy-optimized smart assembly provided by an embodiment of the present application;

FIG. 3 is a flow chart of steps for determining a target control strategy provided by an embodiment of the present application;

FIG. 4 is a flow chart of steps for determining a standard control strategy provided by an embodiment of the present application;

FIG. 5 is a flow chart of another energy-saving control method for smart parks based on energy-optimized intelligent assembly provided by the embodiment of the present application;

Fig. 6 is a structural block diagram of the first intelligent park energy-saving control device based on energy optimization intelligent assembly provided by the embodiment of the present application;

Fig. 7 is a structural block diagram of the second intelligent park energy-saving control device based on energy optimization intelligent assembly provided by the embodiment of the present application;

FIG. 8 is a structural block diagram of a third smart park energy-saving control device based on energy-optimized intelligent assembly provided by the embodiment of the present application;

Figure 9 is an internal block diagram of a computer device in one embodiment.

Detailed ways

In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application. In the description of this application, reference to the terms "one embodiment," "some embodiments," "example," "specific examples," or "some examples" means that specific features described in connection with that embodiment or example , structure, material or characteristic is included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms are not necessarily directed to the same embodiment or example. Furthermore, the described specific features, structures, materials or characteristics may be combined in any suitable manner in any one or more embodiments or examples. In addition, those skilled in the art can combine and combine different embodiments or examples and features of different embodiments or examples described in this specification without conflicting with each other.

With the continuous development of computer technology, computer technology is also more widely used in the field of equipment control in smart parks. Therefore, the precise control of various equipment in smart parks has become the first priority of each smart park by adjusting various parameters of equipment. Task.

In the existing technology, it is only possible to manually control various devices in the smart park based on the working experience of the staff. Therefore, it is necessary for the staff to regularly regulate and plan the various devices in the smart park one by one according to the needs, so as to ensure that all stable operation of the equipment.

However, due to the large number of devices in the smart park, the method of manual regulation requires a lot of manpower and time.

The energy-saving control method for smart parks based on energy-optimized intelligent assembly provided in the embodiment of the present application can be applied to the application environment shown in FIG. 1 . In one embodiment, a computer device is provided. The computer device may be a server, and its internal structure may be as shown in FIG. 1 . The computer device includes a processor, memory and a network interface connected by a system bus. Wherein, the processor of the computer device is used to provide calculation and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs and databases. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage medium. The database of the computer equipment is used to store the acquired data based on the energy-saving control of the intelligent park for optimizing the intelligent assembly. The network interface of the computer device is used to communicate with an external terminal via a network connection. When the computer program is executed by the processor, an energy-saving control method for smart parks based on energy-optimized intelligent assembly is realized.

The present application discloses an energy-saving control method and device for smart parks based on energy-optimized intelligent assembly. The staff's computer equipment adjusts the actual control strategy corresponding to the equipment to be controlled by determining the standard control strategy of the equipment to be controlled and the equipment requirements corresponding to the equipment to be controlled, and obtains the target regulation corresponding to the equipment to be controlled within the future preset time period Strategy.

In one embodiment, as shown in FIG. 2, FIG. 2 is a flow chart of an energy-saving control method for a smart park based on energy-optimized intelligent assembly provided in an embodiment of the present application, and provides a method for controlling energy-saving based on energy-optimized intelligent assembly. The energy-saving control method of the smart park, the energy-saving control method of the smart park based on energy optimization intelligent assembly executed by the computer equipment in Figure 1 may include the following steps:

Step 201, based on the standard energy data interval corresponding to the equipment to be regulated in the smart park, determine the standard control strategy for the equipment to be regulated.

Among them, the smart park refers to the park based on energy optimization and intelligent assembly.

It should be noted that the standard energy data range refers to the ideal range of energy data consumed by the equipment to be regulated during operation. It can be understood that if the energy data consumed by the equipment to be regulated during operation falls within the standard energy data range , then the energy data consumed by the device to be regulated during operation is the most reasonable energy data consumption under the condition of meeting the usage requirements.

Among them, the standard energy data interval may include but not limited to: standard electric power data interval and standard thermal energy data interval; specifically, if the electric power consumed by the equipment to be regulated during operation falls within the standard electric energy data interval, then the equipment to be regulated is running The electric power consumed in the process is the most reasonable electric energy data consumption under the condition of meeting the usage requirements. If the thermal energy consumed by the equipment to be regulated during operation falls within the standard thermal energy data range, then the thermal energy consumed by the equipment to be regulated during operation is the most reasonable thermal energy data consumption under the condition of meeting the usage requirements.

It is further explained that the standard energy data interval may include the standard upper limit of the energy data and the standard lower limit of the energy data; wherein, the standard upper limit of the energy data refers to: the maximum value of the energy data consumed by the equipment to be regulated during operation, if the The energy data consumed by the equipment during operation exceeds the standard upper limit of the energy data, which means that the equipment to be regulated consumes more energy and is likely to cause waste of resources; the standard lower limit of the energy data refers to: the energy consumed by the equipment to be regulated during operation The minimum value of the data. If the energy consumption data of the equipment to be regulated is lower than the standard lower limit of energy data during operation, it means that the equipment to be regulated consumes less energy and it is difficult to ensure the normal operation of the equipment to be regulated.

In one embodiment of the present application, the standard energy data interval can be obtained according to the historical energy data of the equipment to be regulated, since the standard energy data interval refers to the ideal interval of energy data consumed by the equipment to be regulated during operation, Therefore, if it is determined based on historical energy data and actual conditions that the historical energy data is difficult to guarantee the normal operation of the equipment to be regulated, the standard energy data interval can be appropriately increased based on historical energy data; if determined based on historical energy data and actual conditions, The historical energy data causes a waste of resources, and the standard energy data range can be appropriately reduced based on the historical energy data.

As an example, when it is necessary to determine the standard energy data interval, the historical energy data of the equipment to be regulated can be obtained in advance; The historical energy data is properly raised and the raised historical energy data is used as the standard lower limit of the energy data; and, if it is determined and known according to the actual situation that another historical energy data causes resource waste, the historical energy data is The reduced historical energy data is appropriately reduced and used as the standard upper limit of the energy data. Therefore, the standard energy data interval is determined according to the standard lower limit of the energy data and the standard upper limit of the energy data.

In one embodiment of the present application, when determining the standard regulation strategy based on the standard energy data interval, any data interval can be selected from the standard energy data interval as the target regulation strategy corresponding to the equipment to be regulated; further, if different If the standard energy data intervals of the time period are different, the determinable standard regulation strategies may also be different due to the difference in the time period.

For example, if the equipment to be regulated is an air conditioner, the standard energy data interval is the standard electric power data interval; specifically, if the standard electric power data interval is from 0:00 to 12:00, it is 100 to 200, and from 12:00 to 24:00, it is 200 to 300. Therefore, in one case, the target regulation strategy corresponding to the air conditioner may be: the power is 100 to 200 from 0:00 to 12:00, and the power is 200 to 300 from 12:00 to 24:00. In another case, if the strategy can be: from 0:00 to 12:00, the power is 120 to 200, and from 12:00 to 24:00, the power is 250 to 300. Since 120 to 200 is included in 100 to 200, and 250 to 300 is also included in 200 to 300, therefore, the power is 120 to 200 from 0:00 to 12:00, and the power is 250 to 300 from 12:00 to 24:00. As the target regulation strategy corresponding to the air conditioning equipment.

Step 202, acquiring actual energy data corresponding to the equipment to be regulated, and based on the actual energy data, determining an actual control strategy corresponding to the equipment to be regulated.

It should be noted that the actual energy data refers to the energy data consumed by the equipment to be regulated during the actual operation process. Furthermore, the actual energy data can be obtained according to the preset sensors connected to the equipment to be regulated.

Among them, the actual energy data may include but not limited to: actual electric power data and actual heat energy data; therefore, for example: the electric power data consumed by the equipment to be regulated during actual operation is the actual electric power data; The heat energy data consumed during operation is the actual heat energy data.

In an embodiment of the present application, since the actual energy data corresponding to the device to be regulated may change according to time, the actual regulation strategy corresponding to the device to be regulated may also change according to time.

For example, if the equipment to be regulated is air-conditioning equipment, the actual energy data is the actual electric power data; the actual electric power data of the air-conditioning equipment is determined according to the sensor connected to the air-conditioning equipment, and the actual electric power data interval is determined to be 140 from 0:00 to 12:00, and 12:00 It is 210 until 24:00, so the actual control strategy of the air conditioner is: 140 from 0:00 to 12:00, and 210 from 12:00 to 24:00.

Step 203, determining the equipment requirements corresponding to the equipment to be regulated within a future preset time period.

Among them, the equipment demand refers to the demand that the equipment needs to meet in a certain period of time. For example, in the next seven days, the electric power of the air conditioner in Exhibition Hall 2 is set to 200 all the time. The above content is the corresponding equipment of the air conditioner in the next seven days. need.

It should be noted that the setting of equipment requirements can be adjusted according to the actual situation. For example, there will be a large number of people attending meetings in a certain building every day in the next month. Therefore, the power consumption of the air-conditioning equipment corresponding to the building needs to be appropriate. Turn it up to ensure a comfortable environment for those attending the meeting. Another example is that in a certain computer room in the smart park, in the next few months, the equipment in the computer room needs to run at high power, so more effective heat dissipation is required. In order to ensure that the equipment in the computer room can ensure good heat dissipation when running at high power , therefore, it is necessary to appropriately increase the power consumption of the air conditioner corresponding to the computer room.

Step 204, based on the standard regulation strategy and equipment requirements, adjust the actual regulation strategy to obtain the target regulation strategy corresponding to the device to be regulated within the future preset time period.

Among them, the target regulation strategy is used to control the energy saving of the smart park.

It should be noted that the target regulation strategy refers to a strategy that not only conforms to the standard regulation strategy, but also meets the equipment requirements. Therefore, the actual regulation strategy can be adjusted for the first time to ensure that the actual regulation strategy conforms to the standard regulation strategy. The strategy is adjusted twice to ensure that the actual regulation strategy meets the strategy required by the device. The actual regulation strategy after two adjustments is the target regulation strategy.

In one embodiment of the present application, when the target regulation strategy needs to be determined, the part of the actual regulation strategy that does not meet the standard regulation strategy can be determined in advance, and the part of the actual regulation strategy that does not meet the standard regulation strategy can be adjusted to Ensure that the actual regulation strategy conforms to the standard regulation strategy; and determine the part of the adjusted actual regulation strategy that does not meet the equipment requirements, and further adjust the adjusted part of the actual regulation strategy that does not meet the equipment requirements, so as to ensure that after the second adjustment The actual control strategy of the device meets the equipment requirements.

For example, if the equipment to be regulated is preset as an air conditioner, the actual energy data is the actual electric power data; and the actual regulation strategy is 140 from 0:00 to 12:00, and 210 from 12:00 to 24:00; since the standard regulation strategy is: 0 The electric power data from 12:00 to 12:00 is between 120 and 130, and the electric power data from 12:00 to 24:00 is between 200 and 230. Therefore, it can be seen that the part of "0:00 to 12:00" in the actual regulation strategy does not meet the standard regulation strategy ;By adjusting the part of "140 from 0:00 to 12:00" in the actual regulation strategy to "130 from 0:00 to 12:00" to ensure that the actual regulation strategy conforms to the standard regulation strategy; and, the equipment requirements are: to 12:00 every day The electric power at 24 o'clock is greater than or equal to 220, so it can be seen that the part of "12 o'clock to 24 o'clock is 210" in the actual control strategy does not meet the equipment requirements; Adjust it to "220 from 12:00 to 24:00" to ensure that the actual control strategy meets the equipment requirements. Therefore, the actual regulation strategy after the two adjustments is "130 from 0:00 to 12:00, and 210 from 12:00 to 24:00" is the target regulation strategy.

According to the smart park energy-saving control method based on energy optimization intelligent assembly of this application, by determining the standard regulation strategy of the equipment to be regulated, it is ensured that the actual regulation strategy corresponding to the device to be regulated can be adjusted in the future, which provides a basis for the adjustment of the actual regulation strategy The adjustment standard ensures that the adjusted target control strategy can be more in line with the actual situation of the equipment to be regulated, and improves the adjustment accuracy of the equipment to be regulated; by determining the actual control strategy, the acquisition of the actual situation of the equipment to be regulated is realized, ensuring The smooth determination of the follow-up target control strategy makes the target control strategy more in line with the actual situation of the equipment to be controlled; by determining the equipment requirements and adjusting the actual control strategy according to the equipment requirements, the determination of the target control strategy is realized and the determination of the target control strategy is ensured. The efficiency of the target regulation strategy corresponding to the device to be regulated further ensures that the determined target regulation strategy is more in line with the actual situation of the device to be regulated, so that the device to be regulated in the park can achieve a reasonable and effective allocation of resources when implementing the target regulation strategy. It prevents the waste of resources and improves the utilization rate of resources.

It should be noted that the target regulation strategy is determined by performing initial adjustment and secondary adjustment on the actual regulation strategy; optionally, as shown in Figure 3, Figure 3 is a step of determining the target regulation strategy provided by the embodiment of the present application flow chart. Specifically, determining the target regulatory strategy may include the following steps:

In step 301, an initial adjustment is made to the actual regulation strategy based on the standard regulation strategy to obtain an adjusted candidate regulation strategy.

It should be noted that when the actual regulation strategy needs to be adjusted for the first time, the specific content may include the following: determine the difference strategy between the standard regulation strategy and the actual regulation strategy; adjust the actual regulation strategy based on the difference strategy, and obtain the adjusted Candidate regulatory strategies.

It is further explained that since the standard regulation strategy may include: the standard lower limit of energy data and the standard upper limit of energy data; the difference strategy between the standard regulation strategy and the actual regulation strategy may also include: the difference strategy between the actual regulation strategy and the standard lower limit, As well as the difference strategy between the actual regulation strategy and the standard upper limit, therefore, when adjusting the actual regulation strategy according to the difference strategy between the standard regulation strategy and the actual regulation strategy, it is necessary to ensure that the adjustment amount of the actual regulation strategy is within the actual regulation strategy The difference strategy between the lower limit of the standard and the difference strategy between the regulation strategy and the upper limit of the standard.

For example, if the equipment to be regulated is an air conditioner, the standard energy data interval is the standard electric power data interval, and the standard regulation strategy is 100 to 200 from 0:00 to 12:00, and 200 to 300 from 12:00 to 24:00, the actual The control strategy is 150 from 0:00 to 12:00, and 190 from 12:00 to 24:00. Therefore, since the standard lower limit of energy data in the time period from 12:00 to 24:00 in the standard control strategy is 200, the standard upper limit of energy data is 300, therefore, the difference strategy between the actual regulation strategy and the lower limit of the standard is 10, and the difference strategy between the actual regulation strategy and the standard upper limit is 110. When adjusting the actual regulation strategy, it is necessary to ensure that the adjustment amount of the actual regulation strategy is between 10 and Between 110.

In one embodiment of the present application, according to the above-mentioned embodiments, it can be seen that when adjusting the actual regulation strategy, it is necessary to ensure that the adjustment amount of the actual regulation strategy is within a range, at this time, the adjustment amount of the actual regulation strategy can be According to the actual demand or the historical experience of the staff, select a value from this range as the adjustment amount of the actual control strategy.

For example, if the actual demand is to ensure the minimum electric power consumption, therefore, if the equipment to be regulated is an air conditioner, the actual regulation strategy is the actual regulation strategy for electric power, and when adjusting the actual regulation strategy, it is necessary to ensure that the adjustment amount of the actual regulation strategy Between 10 and 110, because the actual demand is to ensure the minimum electric power consumption, the adjustment amount of the actual control strategy needs to select the minimum electric power between 10 and 110, that is, the adjustment amount of the actual control strategy is 10.

Step 302 , based on the equipment requirements, perform secondary adjustments to the candidate regulation strategies to obtain target regulation strategies corresponding to the devices to be regulated.

It should be noted that before making secondary adjustments to the candidate regulation strategies, it is necessary to judge whether the candidate regulation strategies meet the requirements of the equipment, and if not, adjust the candidate regulation strategies according to the requirements of the equipment.

In one embodiment of the present application, when the candidate control strategy needs to be adjusted twice, it is determined whether the candidate control strategy meets the equipment requirements; if not, then determine the candidate sub-strategy that does not meet the equipment requirements in the candidate control strategy; The candidate sub-strategies in the candidate regulation strategy are adjusted based on the equipment requirements to obtain the target regulation strategy.

Wherein, the candidate sub-strategy refers to some strategies in the candidate regulatory strategy, and the selected regulatory strategy can be divided into at least two candidate sub-strategies according to the different areas targeted by the strategy, or can be divided into at least two candidate sub-strategies according to the different time periods targeted by the strategy. candidate sub-strategies.

In one embodiment of the present application, when adjusting the candidate sub-strategy in the candidate regulation strategy, it may specifically include: determining the regulation position corresponding to the candidate sub-strategy, and the device sub-requirements for different regulation positions; The equipment sub-requirement adjusts the candidate sub-strategies in the candidate regulation strategies to obtain the target regulation strategy.

For example, when the candidate control strategy needs to be adjusted twice, the equipment to be regulated is air-conditioning equipment, and the equipment sub-requirement for the air-conditioning equipment in Building 2 included in the equipment requirements is: the air-conditioning equipment in Building 2 needs to be at 0 to close at 12:00; and the candidate sub-strategy for the air-conditioning equipment in Building 2 in the candidate control strategy is 150 from 0:00 to 12:00, and 190 from 12:00 to 24:00; in summary, the candidate control strategy does not meet the equipment requirements, and , the candidate sub-strategy corresponding to 0:00 to 12:00 does not meet the requirements of the equipment, and the candidate sub-strategy corresponding to 0:00 to 12:00 is adjusted to turn off the air conditioner, and the target control strategy is to turn off the air conditioner from 0:00 to 12:00, and 12:00 190 at 24:00.

According to the energy-saving control method for smart parks based on energy-optimized intelligent assembly of this application, the standard control strategy is first adjusted to ensure that the adjusted candidate control strategy can comply with the standard control strategy, which provides a basis for subsequent determination of the target control strategy. The target regulation strategy conforms to the standard regulation strategy; through the secondary adjustment of the candidate regulation strategy, the target regulation strategy is realized to ensure that the target regulation strategy meets the equipment requirements; the rational and effective allocation of resources is realized to prevent the waste of resources and improve resource utilization.

It should be noted that the standard regulation strategy corresponding to the device to be regulated is determined through the historical regulation strategy corresponding to the device to be regulated; optionally, as shown in Figure 4, Figure 4 is a standard regulation strategy provided by the embodiment of the present application flow chart of steps. Specifically, determining the standard regulation strategy may include the following steps:

Step 401, based on the historical control records and standard energy data intervals in the park, determine the historical control strategy corresponding to the equipment to be regulated.

It should be noted that the historical regulation strategy corresponding to the equipment to be regulated is determined through the historical regulation records in the park, wherein the historical regulation strategy is the strategy most similar to the standard energy data interval in the historical regulation record; According to the implementation of the historical control strategy in the control record, make appropriate adjustments to the historical control strategy to ensure that the historical control strategy is more in line with the standard energy data range.

In one embodiment of the present application, when it is necessary to determine the historical control strategy, the candidate historical control strategy that is most similar to the standard energy data interval can be determined from the historical control records according to the standard energy data interval, and according to the candidate historical control strategy According to the difference from the standard energy data interval, the candidate historical regulation strategy is adjusted to ensure that the candidate historical regulation strategy matches the standard energy data interval, and the adjusted candidate historical regulation strategy is the historical regulation strategy.

Step 402, based on the standard energy data range and the historical regulation strategy, determine the standard regulation strategy corresponding to the equipment to be regulated.

It should be noted that to determine whether there is a difference between the energy data range corresponding to the historical control strategy and the standard energy data range, if there is a difference, based on the difference between the energy data range corresponding to the historical control strategy and the standard energy data range, Adjust the historical control strategy to ensure that the historical control strategy is more similar to the corresponding energy data range and the standard energy data range, and the adjusted historical control strategy is the standard control strategy.

According to the smart park energy-saving control method based on energy optimization intelligent assembly in this application, by determining the historical control strategy, it provides a data basis for the subsequent determination of the standard control strategy, ensuring that the determination of the standard control strategy can be more in line with the actual situation of the equipment to be controlled , to ensure the rationality of the standard control strategy.

In one embodiment of the present application, as shown in Fig. 5, Fig. 5 is a flow chart of another smart park energy-saving control method based on energy optimization intelligent assembly provided by the embodiment of the present application. When controlling the equipment to be controlled in the park:

Step 501, based on the historical control records and standard energy data intervals in the park, determine the historical control strategy corresponding to the equipment to be regulated.

Step 502, based on the standard energy data interval and the historical regulation strategy, determine the standard regulation strategy corresponding to the equipment to be regulated.

Step 503: Acquire actual energy data corresponding to the equipment to be regulated, and determine an actual control strategy corresponding to the equipment to be regulated based on the actual energy data.

Step 504, determining the equipment demand corresponding to the equipment to be regulated within the future preset time period.

Step 505, determine the difference strategy between the standard regulation strategy and the actual regulation strategy.

Step 506: Adjust the actual regulation strategy based on the differentiated strategy to obtain an adjusted candidate regulation strategy.

In step 507, it is determined whether the candidate control strategy meets the equipment requirement.

Step 508, if not, determine the candidate sub-policies among the candidate control policies that do not meet the requirements of the device.

Step 509 , determining the control positions corresponding to the candidate sub-policies, and the equipment sub-requirements of the equipment requirements for different control positions.

Step 510, adjust the candidate sub-strategies in the candidate regulation strategies based on the sub-requirements of the equipment to obtain the target regulation strategy.

According to the smart park energy-saving control method based on energy optimization intelligent assembly of this application, by determining the standard regulation strategy of the equipment to be regulated, it is ensured that the actual regulation strategy corresponding to the device to be regulated can be adjusted in the future, which provides a basis for the adjustment of the actual regulation strategy The adjustment standard ensures that the adjusted target control strategy can be more in line with the actual situation of the equipment to be regulated, and improves the adjustment accuracy of the equipment to be regulated; by determining the actual control strategy, the acquisition of the actual situation of the equipment to be regulated is realized, ensuring The smooth determination of the follow-up target control strategy makes the target control strategy more in line with the actual situation of the equipment to be controlled; by determining the equipment requirements and adjusting the actual control strategy according to the equipment requirements, the determination of the target control strategy is realized and the determination of the target control strategy is ensured. The efficiency of the target regulation strategy corresponding to the device to be regulated further ensures that the determined target regulation strategy is more in line with the actual situation of the device to be regulated, so that the device to be regulated in the park can achieve a reasonable and effective allocation of resources when implementing the target regulation strategy. It prevents the waste of resources and improves the utilization rate of resources.

It should be understood that although the steps in the flow charts involved in the above embodiments are shown sequentially as indicated by the arrows, these steps are not necessarily executed sequentially in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and these steps can be executed in other orders. Moreover, at least some of the steps in the flow charts involved in the above embodiments may include multiple steps or stages, and these steps or stages are not necessarily executed at the same time, but may be executed at different times, The execution order of these steps or stages is not necessarily performed sequentially, but may be performed in turn or alternately with other steps or at least a part of steps or stages in other steps.

Based on the same inventive concept, the embodiment of the present application also provides an energy-saving control device for a smart park based on an energy-optimized intelligent assembly for implementing the above-mentioned energy-saving control method for a smart park based on an energy-optimized intelligent assembly. The solution to the problem provided by the device is similar to the implementation described in the above method, so the specific limitations in one or more embodiments of the smart park energy-saving control device based on energy optimization intelligent assembly provided below can be found in The above-mentioned limitations on the energy-saving control method of smart parks based on energy-optimized smart assembly will not be repeated here.

In one embodiment, as shown in FIG. 6, FIG. 6 is a structural block diagram of the first smart park energy-saving control device based on energy optimization intelligent assembly provided by the embodiment of the present application, which provides a smart assembly based on energy optimization The smart park energy-saving control device includes: a first determination module 10, a second determination module 20, a third determination module 30 and an adjustment module 40, wherein:

The first determination module 10 is configured to determine a standard control strategy for the equipment to be regulated based on the standard energy data range corresponding to the equipment to be regulated in the park.

The second determining module 20 is configured to obtain actual energy data corresponding to the equipment to be regulated, and determine an actual control strategy corresponding to the equipment to be regulated based on the actual energy data.

The third determination module 30 is configured to determine the equipment demand corresponding to the equipment to be regulated within a preset time period in the future.

The adjustment module 40 is used to adjust the actual regulation strategy based on the standard regulation strategy and equipment requirements, and obtain the target regulation strategy corresponding to the equipment to be regulated in the future preset time period, and the target regulation strategy is used for energy-saving control of the park.

According to the smart park energy-saving control device based on energy optimization intelligent assembly of this application, by determining the standard regulation strategy of the equipment to be regulated, it is ensured that the actual regulation strategy corresponding to the device to be regulated can be adjusted in the future, providing a basis for the adjustment of the actual regulation strategy The adjustment standard ensures that the adjusted target control strategy can be more in line with the actual situation of the equipment to be regulated, and improves the adjustment accuracy of the equipment to be regulated; by determining the actual control strategy, the acquisition of the actual situation of the equipment to be regulated is realized, ensuring The smooth determination of the follow-up target control strategy makes the target control strategy more in line with the actual situation of the equipment to be controlled; by determining the equipment requirements and adjusting the actual control strategy according to the equipment requirements, the determination of the target control strategy is realized and the determination of the target control strategy is ensured. The efficiency of the target regulation strategy corresponding to the device to be regulated further ensures that the determined target regulation strategy is more in line with the actual situation of the device to be regulated, so that the device to be regulated in the park can achieve a reasonable and effective allocation of resources when implementing the target regulation strategy. It prevents the waste of resources and improves the utilization rate of resources.

In one embodiment, as shown in Fig. 7, Fig. 7 is a structural block diagram of the second intelligent park energy-saving control device based on energy optimization intelligent assembly provided by the embodiment of the present application, which provides a smart assembly based on energy optimization The smart park energy-saving control device, the adjustment module 40 in the smart park energy-saving control device based on energy optimization intelligent assembly includes: a first adjustment unit 41 and a second adjustment unit 42, wherein:

The first adjustment unit 41 is configured to initially adjust the actual regulation strategy based on the standard regulation strategy to obtain an adjusted candidate regulation strategy.

It should be noted that the difference strategy between the standard regulation strategy and the actual regulation strategy is determined; the actual regulation strategy is adjusted based on the difference strategy, and the adjusted candidate regulation strategy is obtained.

The second adjustment unit 42 is configured to perform a second adjustment on the candidate regulation strategy based on the equipment requirement, to obtain a target regulation strategy corresponding to the device to be regulated.

It should be noted that it is determined whether the candidate control strategy meets the device requirements; if not, then determine the candidate sub-strategies in the candidate control strategy that do not meet the device requirements; adjust the candidate sub-strategies in the candidate control strategy based on the device requirements to obtain the target Regulatory strategy.

In one embodiment of the present application, the regulatory positions corresponding to the candidate sub-strategies are determined, and the device requirements are based on the device sub-requirements of different regulatory positions; based on the device sub-requirements, the candidate sub-strategies in the candidate regulatory strategies are adjusted to obtain the target regulation Strategy.

According to the smart park energy-saving control device based on energy optimization intelligent assembly of this application, the standard regulation strategy is adjusted initially to ensure that the adjusted candidate regulation strategy can meet the standard regulation strategy, which provides a basis for subsequent determination of the target regulation strategy and ensures The target regulation strategy conforms to the standard regulation strategy; through the secondary adjustment of the candidate regulation strategy, the target regulation strategy is realized to ensure that the target regulation strategy meets the equipment requirements; the rational and effective allocation of resources is realized to prevent the waste of resources and improve resource utilization.

In one embodiment, as shown in FIG. 8, FIG. 8 is a structural block diagram of the third intelligent park energy-saving control device based on energy optimization intelligent assembly provided by the embodiment of the present application, which provides a smart assembly based on energy optimization The smart park energy-saving control device, the first determination module 10 in the smart park energy-saving control device based on energy optimization intelligent assembly includes: a first determination unit 11 and a second determination unit 12, wherein:

The first determining unit 11 is configured to determine a historical regulation strategy corresponding to the equipment to be regulated based on historical regulation records and standard energy data intervals in the park.

The second determining unit 12 is configured to determine a standard regulation strategy corresponding to the equipment to be regulated based on the standard energy data interval and the historical regulation strategy.

According to the smart park energy-saving control device based on energy optimization intelligent assembly of this application, by determining the historical control strategy, it provides a data basis for the subsequent determination of the standard control strategy, ensuring that the determination of the standard control strategy can be more in line with the actual situation of the equipment to be controlled , to ensure the rationality of the standard control strategy.

Each module in the energy-saving control device of the smart park based on energy-optimized intelligent assembly mentioned above can be fully or partially realized by software, hardware and a combination thereof. The above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, and can also be stored in the memory of the computer device in the form of software, so that the processor can invoke and execute the corresponding operations of the above-mentioned modules.

In one embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure may be as shown in FIG. 9 . The computer device includes a processor, a memory, an input/output interface, a communication interface, a display unit and an input device. Wherein, the processor, the memory and the input/output interface are connected through the system bus, and the communication interface, the display unit and the input device are connected to the system bus through the input/output interface. Wherein, the processor of the computer device is used to provide calculation and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage medium. The input/output interface of the computer device is used for exchanging information between the processor and external devices. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be realized through WIFI, mobile cellular network, NFC (Near Field Communication) or other technologies. When the computer program is executed by the processor, an energy-saving control method for smart parks based on energy-optimized intelligent assembly is realized. The display unit of the computer equipment is used to form a visually visible picture, which may be a display screen, a projection device or a virtual reality imaging device. The display screen may be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device may be a touch layer covered on the display screen, or a button, a trackball or a touch pad set on the casing of the computer device, or a External keyboard, touchpad or mouse etc.

Those skilled in the art can understand that the structure shown in FIG. 9 is only a block diagram of a part of the structure related to the solution of this application, and does not constitute a limitation on the computer equipment on which the solution of this application is applied. The specific computer equipment can be More or fewer components than shown in the figures may be included, or some components may be combined, or have a different arrangement of components.

In one embodiment, a computer device is provided, including a memory and a processor, a computer program is stored in the memory, and the processor implements the following steps when executing the computer program:

Based on the standard energy data range corresponding to the equipment to be regulated in the park, determine the standard control strategy for the equipment to be regulated;

Obtain the actual energy data corresponding to the equipment to be regulated, and determine the actual control strategy corresponding to the equipment to be regulated based on the actual energy data;

Determine the equipment requirements corresponding to the equipment to be regulated within the future preset time period;

Based on the standard control strategy and equipment requirements, the actual control strategy is adjusted, and the target control strategy corresponding to the equipment to be regulated in the future preset time period is obtained.

In one embodiment, the following steps are also implemented when the processor executes the computer program:

Based on the standard regulation strategy, the actual regulation strategy is adjusted for the first time, and the adjusted candidate regulation strategy is obtained;

Based on the equipment requirements, the candidate regulation strategy is adjusted twice to obtain the target regulation strategy corresponding to the device to be regulated.

In one embodiment, the following steps are also implemented when the processor executes the computer program:

Determine whether the candidate regulation strategy meets the equipment requirements;

If not, determine the candidate sub-strategies in the candidate regulation strategies that do not meet the requirements of the device; adjust the candidate sub-strategies in the candidate regulation strategies based on the device requirements to obtain the target regulation strategy.

In one embodiment, the following steps are also implemented when the processor executes the computer program:

Determine the regulatory position corresponding to the candidate sub-strategy, and the equipment sub-requirements of the equipment requirements for different regulatory positions;

Based on the equipment sub-requirements, the candidate sub-strategies in the candidate regulation strategies are adjusted to obtain the target regulation strategy.

In one embodiment, the following steps are also implemented when the processor executes the computer program:

Identify strategies that differentiate standard regulation strategies from actual regulation strategies;

Based on the difference strategy, the actual regulation strategy is adjusted, and the adjusted candidate regulation strategy is obtained.

In one embodiment, the following steps are also implemented when the processor executes the computer program:

Based on the historical control records and standard energy data intervals in the park, determine the historical control strategy corresponding to the equipment to be regulated;

Based on the standard energy data interval and historical control strategy, determine the standard control strategy corresponding to the equipment to be regulated.

In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented:

Based on the standard energy data range corresponding to the equipment to be regulated in the park, determine the standard control strategy for the equipment to be regulated;

Obtain the actual energy data corresponding to the equipment to be regulated, and determine the actual control strategy corresponding to the equipment to be regulated based on the actual energy data;

Determine the equipment requirements corresponding to the equipment to be regulated within the future preset time period;

Based on the standard control strategy and equipment requirements, the actual control strategy is adjusted, and the target control strategy corresponding to the equipment to be regulated in the future preset time period is obtained.

In one embodiment, when the computer program is executed by the processor, the following steps are also implemented:

Based on the standard regulation strategy, the actual regulation strategy is adjusted for the first time, and the adjusted candidate regulation strategy is obtained;

Based on the equipment requirements, the candidate regulation strategy is adjusted twice to obtain the target regulation strategy corresponding to the device to be regulated.

In one embodiment, when the computer program is executed by the processor, the following steps are also implemented:

Determine whether the candidate regulation strategy meets the equipment requirements;

If not, determine the candidate sub-strategies in the candidate regulation strategies that do not meet the requirements of the device; adjust the candidate sub-strategies in the candidate regulation strategies based on the device requirements to obtain the target regulation strategy.

In one embodiment, when the computer program is executed by the processor, the following steps are also implemented:

Determine the regulatory position corresponding to the candidate sub-strategy, and the equipment sub-requirements of the equipment requirements for different regulatory positions;

Based on the equipment sub-requirements, the candidate sub-strategies in the candidate regulation strategies are adjusted to obtain the target regulation strategy.

In one embodiment, when the computer program is executed by the processor, the following steps are also implemented:

Identify strategies that differentiate standard regulation strategies from actual regulation strategies;

Based on the difference strategy, the actual regulation strategy is adjusted, and the adjusted candidate regulation strategy is obtained.

In one embodiment, when the computer program is executed by the processor, the following steps are also implemented:

Based on the historical control records and standard energy data intervals in the park, determine the historical control strategy corresponding to the equipment to be regulated;

Based on the standard energy data interval and historical control strategy, determine the standard control strategy corresponding to the equipment to be regulated.

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

Based on the standard energy data range corresponding to the equipment to be regulated in the park, determine the standard control strategy for the equipment to be regulated;

Obtain the actual energy data corresponding to the equipment to be regulated, and determine the actual control strategy corresponding to the equipment to be regulated based on the actual energy data;

Determine the equipment requirements corresponding to the equipment to be regulated within the future preset time period;

Based on the standard control strategy and equipment requirements, the actual control strategy is adjusted, and the target control strategy corresponding to the equipment to be regulated in the future preset time period is obtained.

In one embodiment, when the computer program is executed by the processor, the following steps are also implemented:

Based on the standard regulation strategy, the actual regulation strategy is adjusted for the first time, and the adjusted candidate regulation strategy is obtained;

Based on the equipment requirements, the candidate regulation strategy is adjusted twice to obtain the target regulation strategy corresponding to the device to be regulated.

In one embodiment, when the computer program is executed by the processor, the following steps are also implemented:

Determine whether the candidate regulation strategy meets the equipment requirements;

If not, determine the candidate sub-strategies in the candidate regulation strategies that do not meet the requirements of the device; adjust the candidate sub-strategies in the candidate regulation strategies based on the device requirements to obtain the target regulation strategy.

In one embodiment, when the computer program is executed by the processor, the following steps are also implemented:

Determine the regulatory position corresponding to the candidate sub-strategy, and the equipment sub-requirements of the equipment requirements for different regulatory positions;

Based on the equipment sub-requirements, the candidate sub-strategies in the candidate regulation strategies are adjusted to obtain the target regulation strategy.

In one embodiment, when the computer program is executed by the processor, the following steps are also implemented:

Identify strategies that differentiate standard regulation strategies from actual regulation strategies;

Based on the difference strategy, the actual regulation strategy is adjusted, and the adjusted candidate regulation strategy is obtained.

In one embodiment, when the computer program is executed by the processor, the following steps are also implemented:

Based on the historical control records and standard energy data intervals in the park, determine the historical control strategy corresponding to the equipment to be regulated;

Based on the standard energy data interval and historical control strategy, determine the standard control strategy corresponding to the equipment to be regulated.

It should be noted that the user information (including but not limited to user equipment information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all It is information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data need to comply with relevant laws, regulations and standards of relevant countries and regions.

Those of ordinary skill in the art can understand that realizing all or part of the processes in the methods of the above embodiments can be completed by instructing related hardware through computer programs, and the computer programs can be stored in a non-volatile computer-readable storage medium , when the computer program is executed, it may include the procedures of the embodiments of the above-mentioned methods. Wherein, any reference to storage, database or other media used in the various embodiments provided in the present application may include at least one of non-volatile and volatile storage. Non-volatile memory can include read-only memory (Read-Only Memory, ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive variable memory (ReRAM), magnetic variable memory (Magnetoresistive Random Access Memory, MRAM), Ferroelectric Random Access Memory (FRAM), Phase Change Memory (Phase Change Memory, PCM), graphene memory, etc. The volatile memory may include random access memory (Random Access Memory, RAM) or external cache memory. As an illustration and not a limitation, the RAM can be in various forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM). The databases involved in the various embodiments provided in this application may include at least one of a relational database and a non-relational database. The non-relational database may include a blockchain-based distributed database, etc., but is not limited thereto. The processors involved in the various embodiments provided by this application can be general-purpose processors, central processing units, graphics processors, digital signal processors, programmable logic devices, data processing logic devices based on quantum computing, etc., and are not limited to this.

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

The above examples only express several implementation modes of the present application, and the description thereof is relatively specific and detailed, but should not be construed as limiting the patent scope of the present application. It should be noted that those skilled in the art can make several modifications and improvements without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application should be determined by the appended claims.

Claims (10)

1. An intelligent park energy-saving control method based on energy consumption optimization intelligent assembly is characterized by comprising the following steps:

determining a standard regulation and control strategy of equipment to be regulated and controlled based on a standard energy data interval corresponding to the equipment to be regulated and controlled in the intelligent park;

acquiring actual energy data corresponding to the equipment to be regulated and controlled, and determining an actual regulation and control strategy corresponding to the equipment to be regulated and controlled based on the actual energy data;

determining equipment requirements corresponding to the equipment to be regulated and controlled within a future preset time period;

and based on the standard regulation and control strategy and the equipment requirement, carrying out strategy adjustment on the actual regulation and control strategy to obtain a target regulation and control strategy corresponding to the equipment to be regulated and controlled in a future preset time period, wherein the target regulation and control strategy is used for carrying out energy-saving control on the intelligent park.

2. The method according to claim 1, wherein the performing policy adjustment on the actual regulation and control policy based on the standard regulation and control policy and the device requirement to obtain a target regulation and control policy corresponding to the device to be regulated and controlled within a future preset time period comprises:

performing primary adjustment on the actual regulation strategy based on the standard regulation strategy to obtain an adjusted candidate regulation strategy;

and performing secondary adjustment on the candidate regulation and control strategy based on the equipment requirement to obtain the target regulation and control strategy corresponding to the equipment to be regulated and controlled.

3. The method according to claim 2, wherein the secondarily adjusting the candidate regulation and control strategy based on the device requirement to obtain the target regulation and control strategy corresponding to the device to be regulated and controlled comprises:

determining whether the candidate regulation strategy satisfies the equipment requirement;

if not, determining a candidate sub-strategy which does not meet the equipment requirement in the candidate regulation and control strategies; and adjusting the candidate sub-strategies in the candidate regulation and control strategies based on the equipment requirements to obtain the target regulation and control strategy.

4. The method of claim 3, wherein the adjusting the candidate sub-strategies of the candidate regulation strategies based on the equipment requirements to obtain the target regulation strategy comprises:

determining a regulation position corresponding to the candidate sub-strategy and equipment sub-requirements of the equipment requirements aiming at different regulation positions;

and adjusting the candidate sub-strategies in the candidate regulation and control strategies based on the equipment sub-requirements to obtain the target regulation and control strategy.

5. The method of claim 2, wherein the initially adjusting the actual regulation strategy based on the standard regulation strategy to obtain an adjusted candidate regulation strategy comprises:

determining a distinguishing strategy between the standard regulation strategy and the actual regulation strategy;

and adjusting the actual regulation and control strategy based on the distinguishing strategy to obtain the adjusted candidate regulation and control strategy.

6. The method as claimed in claim 1, wherein the determining the standard regulation strategy of the equipment to be regulated based on the standard energy data interval corresponding to the equipment to be regulated in the intelligent park comprises:

determining a historical regulation and control strategy corresponding to the equipment to be regulated and controlled based on the historical regulation and control record in the intelligent park and the standard energy data interval;

and determining the standard regulation and control strategy corresponding to the equipment to be regulated and controlled based on the standard energy data interval and the historical regulation and control strategy.

7. The utility model provides a wisdom garden energy-saving control device based on with can optimize intelligent assembly which characterized in that, the device includes:

the system comprises a first determining module, a second determining module and a control module, wherein the first determining module is used for determining a standard regulating and controlling strategy of equipment to be regulated and controlled based on a standard energy data interval corresponding to the equipment to be regulated and controlled in the intelligent park;

the second determining module is used for acquiring actual energy data corresponding to the equipment to be regulated and controlled and determining an actual regulation and control strategy corresponding to the equipment to be regulated and controlled based on the actual energy data;

the third determining module is used for determining the equipment requirement corresponding to the equipment to be regulated within a future preset time period;

and the adjusting module is used for carrying out strategy adjustment on the actual regulation and control strategy based on the standard regulation and control strategy and the equipment requirement to obtain a target regulation and control strategy corresponding to the equipment to be regulated and controlled in a future preset time period.

8. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor, when executing the computer program, implements the steps of the method of any of claims 1 to 6.

9. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 6.

10. A computer program product comprising a computer program, characterized in that the computer program realizes the steps of the method of any one of claims 1 to 6 when executed by a processor.

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