A central air conditioning host control method and system based on user needs

Abstract

The present invention relates to the technical field of air-conditioning host control, and provides a central air-conditioning host control method and system based on user needs. The method comprises: analyzing the host power of the central air-conditioning of an office building to generate a power applicability model, calculating the host power demand of the tenants according to the overtime schedule reported by the tenants during non-working hours, determining the number of enabled hosts corresponding to the power demand of the tenants in each time period according to the power applicability model, and screening in combination with a preset strategy to determine the final number of enabled hosts on the day, thereby reducing the waste of host startup and saving power consumption costs while meeting the user's overtime office air-conditioning needs on non-working days.

Description

Technical Field

[0001] The present invention relates to the technical field of air conditioner host control, and in particular to a central air conditioner host control method and system based on user needs. Background Art

[0002] The use time of the central air-conditioning in an office building is agreed upon in advance by the lessor and the tenant. Generally, the main unit will be turned on at a scheduled time on weekdays, while the tenant needs to apply in advance for weekends and other time periods on weekdays. In the existing technology, if all air-conditioning main units are turned on for overtime tenants, it will cause waste, but the small number of main units turned on makes it difficult to meet the tenants' air-conditioning needs. Summary of the invention

[0003] The present invention provides a central air-conditioning host control method based on user needs, which is used to solve the problem of host start and stop of office building central air-conditioning during non-working hours in the prior art.

[0004] The first aspect of the present invention provides a central air-conditioning host control method based on user needs, comprising:

[0005] Obtain the power of each host and combine them to obtain the power sum of each host combination, and generate a corresponding power applicable model;

[0006] Obtain the tenant overtime schedule in the database, and establish the daily demand power change curve based on the corresponding power demand of each tenant's corresponding tenant area; determine the demand power change curve in the power applicability model, and convert the demand power change curve into a host activation step line diagram; set the number of hosts enabled on the day based on the preset host activation strategy and the host activation step line diagram.

[0007] Optionally, also include:

[0008] Get the real-time air conditioning usage, identify whether there are tenants who are not recorded in the tenant overtime schedule who have started the air conditioner, if so, calculate the total power of temporary overtime tenants, and compare it with the demand power at the current time on the demand power change curve. If the ratio of the total power of temporary overtime tenants to the demand power at the current time exceeds the preset ratio threshold, and the total power of temporary overtime tenants is greater than the rated power of a single cooling host, then the number of hosts turned on is adaptively increased.

[0009] Optionally, the number of hosts enabled on the day is set based on a preset host enabling strategy according to a host enabling step line diagram, specifically:

[0010] Identify the maximum number of hosts and the minimum number of hosts in the host activation step line graph, substitute them into the host activation number calculation model, and obtain the number of hosts activated on the day. The host activation number calculation model is specifically as follows:

[0011]

[0012] Among them, S max is the maximum number of hosts, S min is the minimum number of hosts, is the number of hosts enabled on that day, a is the number of segments of the host enabled ladder line graph, and t n The length of time that the nth segment of the step line graph is enabled for the host, S n The number of hosts that enable the nth segment of the step line graph for the host, where ε is the preset policy parameter.

[0013] The second aspect of the present application provides a central air-conditioning host control system based on user needs, including:

[0014] The host data processing module is used to obtain the power of each host and combine them to obtain the power sum of each host combination and generate a corresponding power applicable model;

[0015] The host pre-control module is used to obtain the tenant overtime schedule in the database, and establish the daily demand power change curve according to the corresponding power demand of each tenant's corresponding tenant area; determine the demand power change curve in the power applicability model, and convert the demand power change curve into a host activation step line diagram; based on the preset host activation strategy, set the number of hosts enabled on the day according to the host activation step line diagram.

[0016] Optionally, also include:

[0017] The host real-time management and control module is used to obtain real-time air conditioning usage and identify whether there are tenants who are not recorded in the tenant overtime schedule for the currently started air conditioner. If so, the total power of the temporary overtime tenants is calculated and compared with the demand power at the current time on the demand power change curve. If the ratio of the total power of the temporary overtime tenants to the demand power at the current time exceeds the preset ratio threshold, and the total power of the temporary overtime tenants is greater than the rated power of a single refrigeration host, the number of hosts turned on is adaptively increased.

[0018] Optionally, in the host pre-control module, the number of hosts enabled on the day is set according to the host enabling step line diagram based on a preset host enabling strategy, specifically:

[0019] Identify the maximum number of hosts and the minimum number of hosts in the host activation step line graph, substitute them into the host activation number calculation model, and obtain the number of hosts activated on the day. The host activation number calculation model is specifically as follows:

[0020]

[0021] Among them, S max is the maximum number of hosts, S min is the minimum number of hosts, is the number of hosts enabled on that day, a is the number of segments of the host enabled ladder line graph, and t n The length of time that the nth segment of the step line graph is enabled for the host, S n The number of hosts that enable the nth segment of the step line graph for the host, where ε is the preset policy parameter.

[0022] The third aspect of the present application provides a central air conditioner host control method device based on user needs, the device includes a processor and a memory:

[0023] The memory is used to store program code and transmit the program code to the processor;

[0024] The processor is used to execute a central air-conditioning host control method based on user needs as described in any one of the first aspects of the present invention according to the instructions in the program code.

[0025] The fourth aspect of the present application provides a computer-readable storage medium, which is used to store program code, and the program code is used to execute a central air-conditioning host control method based on user needs as described in any one of the first aspects of the present invention.

[0026] It can be seen from the above technical scheme that the present invention has the following advantages: by analyzing the host power of the central air-conditioning in the office building, a power applicability model is generated, and the host power demand of the tenant is calculated according to the overtime schedule reported by the tenant during non-working hours. The power applicability model is used to determine the number of enabled hosts corresponding to the power demand of the tenant in each time period, and combined with the preset strategy for screening, the final number of enabled hosts for the day is determined. While meeting the user's overtime office air conditioning needs on non-working days, the waste of host startup is reduced and power consumption costs are saved. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0028] Figure 1 It is a flow chart of a central air-conditioning host control method based on user needs;

[0029] Figure 2 This is a structural diagram of a central air-conditioning host control system based on user needs. DETAILED DESCRIPTION

[0030] In order to make the purpose, features and advantages of the present invention more obvious and easy to understand, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the embodiments described below 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.

[0031] The present invention provides a central air-conditioning host control method based on user needs, which is used to solve the problem of host start and stop of office building central air-conditioning during non-working hours in the prior art.

[0032] See also Figure 1 , Figure 1 The present invention provides a first flow chart of a central air-conditioning host control method based on user needs in an embodiment of the present invention.

[0033] S100, obtaining the power of each host and combining them to obtain the power sum of the host combination, and generating a corresponding power applicable model;

[0034] It should be noted that there will be multiple refrigeration hosts in the central air-conditioning system of an office building. The refrigeration hosts work together to supply air to each tenant space through pipes. The corresponding power can be obtained based on the specification parameters of the refrigeration host. Generally, the refrigeration hosts selected in office buildings are of the same model, or several models of hosts with similar specifications are used. The specific power of each host can be modified according to the recent specific operating conditions. The rated power specification can be adjusted, and kilowatt-hour or horsepower can be used as the power unit in the air-conditioning system. The hosts are combined, and the sum of the powers of the host combinations is calculated to identify the minimum number of hosts under each power. The power that can be supplied by the office building central air-conditioning host combination is divided into multiple sections, and each section corresponds to the combination with the least number of air-conditioning hosts.

[0035] S200, obtain the tenant overtime schedule in the database, and establish the daily demand power change curve according to the corresponding power demand of each tenant's corresponding tenant area; determine the demand power change curve in the power applicability model, and convert the demand power change curve into a host activation step line diagram; set the number of hosts enabled on the day according to the host activation step line diagram based on the preset host activation strategy.

[0036] It should be noted that the central air conditioner in the office building is fully started during working hours on weekdays to maintain a comfortable office environment. However, when the air conditioner needs to be used during overtime hours on non-working days, the tenant needs to initiate an overtime application in order to manage the air conditioner. The tenant overtime schedule added to the database is overtime set every other day or in advance. For example, if a tenant has only one day off, the overtime schedule will be submitted in advance every Saturday. There are also tenants who work overtime irregularly. When the company has special overtime needs, the property needs to turn on the air conditioner. Because the spaces of each tenant are connected by air supply ducts, the total power of the refrigeration host only needs to meet the total power demand of the tenants. Therefore, a time-related change curve can be established according to the tenant overtime schedule. For example, tenants A, B, and C need to work overtime from 9:00 to 12:00, and the power demand of the corresponding tenant space is a, b, and c respectively. From 12:00 to 18:00, tenants C, Tenant D needs to work overtime, and the power requirements of the corresponding tenant space are c and d horsepower respectively. In the established daily demand power change curve, the total power demand from 9 to 12 o'clock is (a+b+c) horsepower, and the total power demand from 12 to 18 o'clock is (c+d) horsepower; then, according to the power applicability model obtained in the aforementioned step S100, it is determined which section (a+b+c) horsepower and (c+d) horsepower are respectively in, and which host combinations are applicable, and then the demand power change curve is converted into a host activation ladder line diagram, that is, the number of hosts enabled from 9 to 12 o'clock is n, and the number of hosts enabled from 12 to 18 o'clock is m. According to the time change, which time period can turn on which host combination to meet the demand; the power demand of each tenant area will be related to its area, and can be preset according to the area data of the tenant area, for example, the cooling capacity of a certain number of kilowatts per square meter of an office building can be multiplied by the tenant area to get the demand power.

[0037] There may be dozens or even hundreds of tenants in an office building. The overtime hours of tenants on non-working days are uncertain, and the number of hosts enabled on that day may change repeatedly. However, the energy consumption of the hosts when starting and stopping is greater than that of stable usage. Therefore, we need to avoid repeated starting and stopping of the hosts. Therefore, the number of hosts enabled on that day can be set according to the preset host activation strategy. For example, while meeting the user comfort level, the host combination with the maximum number of hosts can be directly used without repeated starting and stopping, and the needs of all overtime tenants can be fully met. Alternatively, an economic strategy can be adopted to calculate the average number of hosts applicable to the day and round it according to the length of the applicable time period of each host combination. Although it cannot fully meet the needs of tenants during peak usage, it can reduce the waste of host operation and reduce costs when the overtime user demand on that day does not reach the peak.

[0038] In this embodiment, the host power of the central air-conditioning in the office building is analyzed to generate a power applicability model, and the host power demand of the tenant is calculated according to the overtime schedule reported by the tenant during non-working hours. The power applicability model is used to determine the number of enabled hosts corresponding to the tenant power demand in each time period, and the preset strategy is combined to perform screening to determine the final number of enabled hosts for the day. While meeting the user's overtime office air conditioning needs on non-working days, the waste of host startup is reduced and power consumption costs are saved.

[0039] The above is a detailed description of the first embodiment of a central air-conditioning host control method based on user needs provided by the present application. The following is a detailed description of the second embodiment of a central air-conditioning host control method based on user needs provided by the present application.

[0040] In this embodiment, a central air-conditioning host control method based on user needs is further provided, specifically:

[0041] S300, obtain the real-time air conditioning usage, identify whether there are tenants who are not recorded in the tenant overtime schedule who have started the air conditioning, and if so, calculate the total power of the temporary overtime tenants and compare it with the demand power at the current time on the demand power change curve. If the ratio of the total power of the temporary overtime tenants to the demand power at the current time exceeds the preset ratio threshold, and the total power of the temporary overtime tenants is greater than the rated power of a single refrigeration host, the number of hosts turned on is adaptively increased.

[0042] It should be noted that, although the central air-conditioning management of the office building needs to be reported and turned on during non-working hours, the central air-conditioning management system in this embodiment adopts a passive start-up mode, that is, the control panel of each tenant area is in an unlocked but not enabled mode. During non-working hours, the central air-conditioning host is turned on according to the preset overtime situation, but some tenants also have temporary overtime. In order to ensure the office experience of these tenants, their air-conditioning can also be turned on through the room control panel, but the host operation needs to be adjusted according to the temporary start situation; the operating status of the control panel of each tenant area will be monitored in real time, and the operating data can be obtained in the central air-conditioning control system. The real-time air-conditioning usage can be obtained by monitoring the control panel. According to the tenant overtime schedule, it is identified whether there are tenants who have started the air-conditioning without pre-reporting. If so, these users will be regarded as temporary overtime tenants, and the power demand of temporary overtime tenants will be added together;

[0043] In order to ensure the office experience of tenants who have reported overtime, even if some recorded tenants have not used the air conditioner yet, their power demand should be taken into account to ensure that they can have sufficient power for cooling at any time. In the case of real-time air conditioning use, the power demand of the recorded tenants is regarded as full power, that is, the power of temporary overtime tenants replacing the recorded but unused tenants is not considered; the current time is substituted into the power demand change curve to obtain the total power demand of the currently recorded tenants, and the ratio of the total power of temporary overtime tenants to the power demand at the current time is calculated. The central air-conditioning host can be overloaded, that is, the overall cooling effect cannot be as good as the rated power, and the cooling effect is affected when the power does not exceed a certain proportion. If the result is not obvious, the preset ratio threshold can be set according to the experience value; when the ratio exceeds the preset ratio threshold, it is also necessary to determine whether the total power of temporary overtime tenants is greater than the rated power of a single refrigeration host. If the number of temporary overtime tenants is small and the number of recorded base overtime tenants is also small, there is no need to open another refrigeration host at this time. Because the specifications of the central air-conditioning hosts are similar or the same model host is used, the rated power of a single refrigeration host can be based on the average value or directly use the smallest current unstarted host power parameter; when the ratio exceeds the preset threshold and the total temporary overtime power is greater than the rated power of a single host, the rounded value of the total temporary overtime power divided by the rated power of a single host is used as the adaptive increase in the number of hosts. Temporary overtime tenants need to be recorded later and their fees collected.

[0044] Furthermore, in the aforementioned step S200, the number of hosts enabled on the day is set according to the host enabling step line diagram based on the preset host enabling strategy, specifically:

[0045] Identify the maximum number of hosts and the minimum number of hosts in the host activation step line graph, substitute them into the host activation number calculation model, and obtain the number of hosts activated on the day. The host activation number calculation model is specifically as follows:

[0046]

[0047] Among them, S max is the maximum number of hosts, S min is the minimum number of hosts, is the number of hosts enabled on that day, a is the number of segments of the host enabled ladder line graph, and t n The length of time that the nth segment of the step line graph is enabled for the host, S n The number of hosts that enable the nth segment of the step line graph for the host, ε is the preset policy parameter;

[0048] It should be noted that the present embodiment adopts an economic strategy to enable the host, that is, to strike a balance between satisfying the tenant's office experience and cost savings as much as possible; in the host activation ladder line diagram, there will be multiple ladder segments according to the overtime reported by each tenant, each ladder segment corresponds to a time length and the number of hosts, and the maximum number of hosts and the minimum number of hosts in the ladder line diagram are identified; because when the difference between the air-conditioning host and the power demand is small, the difference in air-conditioning refrigeration is not significant, and the number of overtime workers is not all employees on working days, and the heat generation is not the largest, therefore, when the maximum number of hosts and the minimum number of hosts are relatively close, the median number of hosts can be directly selected to reduce the system analysis time and improve the operating efficiency of the air-conditioning system; and when the maximum number of hosts and the minimum number of hosts differ greatly, it is necessary to consider the overall air-conditioning host operation demand of the day, count the number of host startups required in each time period, calculate the number of host activations that can meet the overall demand of the day and round it, so as to improve the accuracy of the balance between cost savings and user experience in the number of host activations, and the preset strategy parameter ε can be set according to the experience value, and can be adjusted according to user feedback, for example, when the tenant feedbacks that the air-conditioning effect is not good during overtime on non-working days, it can be appropriately adjusted.

[0049] The above is a detailed description of a central air-conditioning host control method based on user needs provided in the first aspect of the present application. The following is a detailed description of an embodiment of a central air-conditioning host control system based on user needs provided in the second aspect of the present application.

[0050] See also Figure 2 , Figure 2 This embodiment provides a central air-conditioning host control system based on user needs, including:

[0051] The host data processing module 10 is used to obtain the power of each host and combine them to obtain the power sum of each host combination and generate a corresponding power applicable model;

[0052] The host pre-control module 20 is used to obtain the tenant overtime schedule in the database, and establish the daily demand power change curve according to the corresponding power demand of each tenant's corresponding tenant area; determine the demand power change curve in the power applicability model, and convert the demand power change curve into a host activation step line diagram; based on the preset host activation strategy, set the number of hosts enabled on the day according to the host activation step line diagram.

[0053] Furthermore, it also includes:

[0054] The host real-time management and control module 30 is used to obtain the real-time air-conditioning usage and identify whether there are tenants who are not recorded in the tenant overtime schedule for the currently started air-conditioning. If so, the total power of the temporary overtime tenants is calculated and compared with the demand power at the current time on the demand power change curve. If the ratio of the total power of the temporary overtime tenants to the demand power at the current time exceeds a preset ratio threshold, and the total power of the temporary overtime tenants is greater than the rated power of a single refrigeration host, the number of hosts turned on is adaptively increased.

[0055] Furthermore, in the host pre-control module 20, the number of hosts enabled on the day is set according to the host enabling step line diagram based on the preset host enabling strategy, specifically:

[0056] Identify the maximum number of hosts and the minimum number of hosts in the host activation step line graph, substitute them into the host activation number calculation model, and obtain the number of hosts activated on the day. The host activation number calculation model is specifically as follows:

[0057]

[0058] Among them, S max is the maximum number of hosts, S min is the minimum number of hosts, is the number of hosts enabled on that day, a is the number of segments of the host enabled ladder line graph, and t n The length of time that the nth segment of the step line graph is enabled for the host, S n The number of hosts that enable the nth segment of the step line graph for the host, where ε is the preset policy parameter.

[0059] The third aspect of the present application also provides a central air-conditioning host control method device based on user needs, including a processor and a memory: the memory is used to store program code and transfer the program code to the processor; the processor is used to execute the above-mentioned central air-conditioning host control method based on user needs according to the instructions in the program code.

[0060] A fourth aspect of the present application provides a computer-readable storage medium, characterized in that the computer-readable storage medium is used to store program codes, and the program codes are used to execute the above-mentioned central air-conditioning host control method based on user needs.

[0061] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the above-described devices and equipment can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0062] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0063] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0064] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0065] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.

[0066] As described above, the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features thereof may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A central air conditioning host control method based on user needs, characterized in that include: The power of each host is obtained and combined. The power of each host is obtained by correcting the rated power of the specification according to the operation status of the host. The hosts are combined to obtain the power sum of each host combination. The power sum that can be supplied by each host combination is divided into multiple sections. Each section corresponds to the combination with the least number of hosts, and a corresponding power applicability model is generated. Obtain the tenant overtime schedule in the database, and establish a daily demand power change curve based on the corresponding power demand of each tenant's corresponding tenant area; Determine the power applicable model of the demand power change curve, and convert the demand power change curve into a host activation step line diagram; set the number of host activations for the day based on the preset host activation strategy and the host activation step line diagram, specifically: Identify the maximum number of hosts and the minimum number of hosts in the host activation step line graph, substitute them into the host activation number calculation model, and obtain the number of hosts activated on the day. The host activation number calculation model is specifically as follows: Among them, S max is the maximum number of hosts, S min is the minimum number of hosts, is the number of hosts enabled on that day, a is the number of segments of the host enabled ladder line graph, and t n The length of time that the nth segment of the step line graph is enabled for the host, S n The number of hosts that enable the nth segment of the step line graph for the host, where ε is the preset policy parameter.

2. A central air-conditioning host control method based on user needs according to claim 1, characterized in that: Also includes: Get the real-time air conditioning usage, identify whether there are tenants who are not recorded in the tenant overtime schedule who have started the air conditioner. If so, calculate the total power of temporary overtime tenants and compare it with the demand power at the current time on the demand power change curve. If the ratio of the total power of temporary overtime tenants to the demand power at the current time exceeds the preset ratio threshold, and the total power of temporary overtime tenants is greater than the rated power of a single cooling host, then the number of hosts turned on is adaptively increased.

3. A central air-conditioning host control system based on user needs, characterized in that: include: A host data processing module is used to obtain the power of each host and combine them. The power of each host is obtained by correcting the rated power of the specification according to the operation status of the host. The hosts are combined to obtain the power sum of each host combination. The power sum that can be supplied by each host combination is divided into multiple sections. Each section corresponds to the combination with the least number of hosts, and a corresponding power applicability model is generated. The host pre-control module is used to obtain the tenant overtime schedule in the database and establish the daily demand power change curve according to the corresponding power demand of each tenant's corresponding tenant area; Determine the power applicable model of the demand power change curve, and convert the demand power change curve into a host activation step line diagram; set the number of host activations for the day based on the preset host activation strategy and the host activation step line diagram, specifically: Identify the maximum number of hosts and the minimum number of hosts in the host activation step line graph, substitute them into the host activation number calculation model, and obtain the number of hosts activated on the day. The host activation number calculation model is specifically as follows: Among them, S max is the maximum number of hosts, S min is the minimum number of hosts, is the number of hosts enabled on that day, a is the number of segments of the host enabled ladder line graph, and t n The length of time that the nth segment of the step line graph is enabled for the host, S n The number of hosts that enable the nth segment of the step line graph for the host, where ε is the preset policy parameter.

4. A central air-conditioning host control system based on user needs according to claim 3, characterized in that: Also includes: The host real-time management and control module is used to obtain real-time air conditioning usage and identify whether there are tenants who are not recorded in the tenant overtime schedule for the currently started air conditioner. If so, the total power of the temporary overtime tenants is calculated and compared with the demand power at the current time on the demand power change curve. If the ratio of the total power of the temporary overtime tenants to the demand power at the current time exceeds the preset ratio threshold, and the total power of the temporary overtime tenants is greater than the rated power of a single refrigeration host, the number of hosts turned on is adaptively increased.

5. A central air conditioning host control device based on user needs, characterized in that: The device comprises a processor and a memory: The memory is used to store program code and transmit the program code to the processor; The processor is used to execute a central air-conditioning host control method based on user needs as described in any one of claims 1-2 according to the instructions in the program code.

6. A computer-readable storage medium, characterized in that: The computer-readable storage medium is used to store program code, and the program code is used to execute a central air-conditioning host control method based on user needs as described in any one of claims 1-2.

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