CN117928067A - Air conditioner control method and device and electronic equipment - Google Patents

Abstract

The invention provides an air conditioner control method, an air conditioner control device and electronic equipment, and relates to the technical field of air conditioner control.

Description

Air conditioner control method and device and electronic equipment

Technical Field

The present invention relates to the field of air conditioner control technologies, and in particular, to an air conditioner control method, an air conditioner control device, and an electronic device.

Background

An air conditioning system is generally configured in the current subway station, the air conditioning system only operates in a partial load state in most of time, the load change rate is high, the fluctuation is high, and the operation efficiency of the air conditioning system is low. The running state of the air conditioning system equipment needs to be regulated according to factors such as passenger flow volume, driving organization, meteorological parameters, running time period and the like, the existing air conditioning system is based on PID feedback control in the regulating process, the regulating process is longer, the response speed is slower, certain hysteresis exists, and energy waste is easy to generate.

Disclosure of Invention

In view of the above, the invention aims to provide an air conditioner control method, an air conditioner control device and electronic equipment, which are used for accurately controlling an air conditioner operation process according to an air conditioner control area in a station, and fully utilizing passenger flow data and meteorological data to rapidly respond to the air conditioner operation process, so that the accuracy and speed of the air conditioner control process are improved, and the problems of low operation efficiency and slow control response in the air conditioner control process in the prior art are solved.

In a first aspect, an embodiment of the present invention provides an air conditioner control method, which is applied to an energy saving control and adjustment process of a station air conditioning system, including:

a data acquisition step of acquiring weather data, driving data and historical operation data of an air conditioning system of a station;

A load prediction step of determining a temperature control partition in the station, and determining predicted load data of the temperature control partition according to date and time characteristic data, weather data and driving data in a future time period and based on historical operation data;

a first control step of determining a first control instruction corresponding to the station air conditioning system based on the predicted load data and controlling the air conditioning system to operate according to the first control instruction;

And a second control step of determining a second control instruction corresponding to the air conditioning system according to the environmental parameters of the temperature control partition, and controlling the air conditioning system to operate according to the second control instruction.

In one embodiment, the data acquisition step includes:

acquiring meteorological data corresponding to a station; the weather data at least comprises outdoor temperature and humidity of a station in a future period through weather forecast;

determining date type data and time characteristic data corresponding to the station, and determining driving data of the station according to the date type data and the time characteristic data;

And acquiring all the air conditioners contained in the station, and determining historical operation data corresponding to the water chilling unit contained in the air conditioner and the tail end of the air conditioner.

In one embodiment, the load prediction step includes:

Determining a temperature control partition corresponding to air conditioner in the station according to the service area of the air conditioner;

acquiring historical operation data of an air conditioner under a temperature control partition, and constructing a load prediction model by utilizing the historical operation data;

after date and time characteristic data, meteorological data and driving data in a future time period are input into a load prediction model, load prediction results of all temperature control partitions output by the load prediction model are obtained; wherein, the load prediction result at least comprises: system cold load rate, partition wet load rate, and partition cold load rate;

And determining predicted load data of the temperature control partition in a future time period based on the load prediction results of the temperature control partitions.

In one embodiment, the first control step includes:

determining a water chilling unit opening instruction contained in the first control instruction according to the system cooling load rate, and controlling the water chilling unit to operate by utilizing the opening quantity determined by the water chilling unit opening instruction;

Determining the water supply temperature of the water chiller required by the temperature control partition by utilizing the partition wet load rate, determining a water chiller temperature instruction contained in the first control instruction according to the water chiller water supply temperature, and controlling the water chiller of the air conditioner to operate according to the water chiller temperature instruction;

And generating an operation control instruction contained in the first control instruction according to the operation parameters of the air conditioner end fan of the air conditioner system determined by the partition cold load rate, and controlling the air conditioner end fan of the air conditioner system to operate according to the operation control instruction.

In one embodiment, the second control step includes:

acquiring a return air temperature value and an air supply temperature value at the tail end of the air conditioner according to the environmental parameters of the temperature control partition;

comparing the return air temperature value with a preset first temperature threshold value, and determining the fan operating frequency at the tail end of the air conditioner according to a comparison result;

Comparing the air supply temperature value with a preset second temperature threshold value, and determining the opening of an electric water valve at the tail end of the air conditioner according to a comparison result;

and controlling the air conditioning system to operate based on a second control instruction determined by the fan operating frequency and the opening degree of the electric water valve.

In one embodiment, the process for obtaining the system cooling load rate and the partition cooling load rate in the load prediction result includes:

Obtaining predicted cold load values of all temperature control partitions output by a load prediction model;

determining the ratio of the predicted cold load value to a rated cold load value preset by a temperature control partition as a partition cold load rate;

Determining the accumulated result of the predicted cold load values of all the temperature control partitions as the system cold load value of the air conditioner;

and determining the ratio of the system cold load value to the rated cold load value of the air conditioner as the system cold load rate.

In one embodiment, the process of obtaining the partition wet load rate in the load prediction result includes:

Obtaining predicted wet load values of all temperature control partitions output by a load prediction model;

And determining the ratio of the predicted wet load value to the rated wet load value preset by the temperature control partition as the partition wet load rate.

In one embodiment, the load prediction step further includes:

Acquiring actual load data and equipment operation data of a temperature control partition in a future time period;

And inputting the actual load data, the equipment operation data and the predicted load data into a load prediction model, and controlling the prediction model to execute a correction process.

In a second aspect, an embodiment of the present invention provides an air conditioner control device applied to an energy saving control and adjustment process of a station air conditioning system, the device including:

the data acquisition module is used for acquiring meteorological data, driving data and historical operation data of the air conditioning system of the station;

The load prediction module is used for determining a temperature control subarea in the station, and determining predicted load data of the temperature control subarea according to date and time characteristic data, meteorological data and driving data in a future time period and based on historical operation data;

the first control module is used for determining a first control instruction corresponding to the station air conditioning system based on the predicted load data and controlling the air conditioning system to operate according to the first control instruction;

and the second control module is used for determining a second control instruction corresponding to the air conditioning system according to the environmental parameters of the temperature control partition and controlling the air conditioning system to operate according to the second control instruction.

In a third aspect, an embodiment of the present invention further provides an electronic device, including a processor and a memory, where the memory stores computer executable instructions executable by the processor, and the processor executes the computer executable instructions to implement the steps of the air conditioner control method provided in the first aspect.

In a fourth aspect, embodiments of the present invention also provide a storage medium storing computer-executable instructions that, when invoked and executed by a processor, cause the processor to implement the steps of the air conditioner control method provided in the first aspect.

In the air conditioner control method, the air conditioner control device and the electronic equipment provided by the embodiment of the invention, in the process of adjusting the station air conditioner, firstly, a data acquisition step is executed to acquire weather data, driving data and historical operation data of an air conditioning system of a station; then, a load prediction step is executed, a temperature control partition in the station is determined, and predicted load data of the temperature control partition is determined according to date and time characteristic data, weather data and driving data in a future time period and based on historical operation data; then executing a first control step, determining a first control instruction corresponding to the station air conditioning system based on the predicted load data, and controlling the air conditioning system to operate according to the first control instruction; and finally, executing a second control step, determining a second control instruction corresponding to the air conditioning system according to the environmental parameters of the temperature control partition, and controlling the air conditioning system to operate according to the second control instruction. According to the method, the air conditioning operation process is accurately controlled according to the air conditioning control area in the station, the passenger flow data and the meteorological data are fully utilized to rapidly respond to the air conditioning operation process, so that the accuracy and the speed of the air conditioning control process are improved, and the problems of low operation efficiency and slow control response in the air conditioning control process in the prior art are solved.

Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.

In order to make the above objects, features and advantages of the present invention more comprehensible, preferred embodiments accompanied with figures are described in detail below.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are needed in the description of the embodiments or the prior art will be briefly described, and it is obvious that the drawings in the description below are some embodiments of the present invention, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.

Fig. 1 is a flowchart of an air conditioner control method according to an embodiment of the present invention;

Fig. 2 is a flowchart of step S101 in an air conditioner control method according to an embodiment of the present invention;

Fig. 3 is a flowchart of step S102 in an air conditioner control method according to an embodiment of the present invention;

Fig. 4 is a flowchart of step S103 in an air conditioner control method according to an embodiment of the present invention;

fig. 5 is a flowchart of step S104 in an air conditioner control method according to an embodiment of the present invention;

fig. 6 is a flowchart of a process for obtaining a system cooling load rate and a partition cooling load rate in a load prediction result in an air conditioner control method according to an embodiment of the present invention;

FIG. 7 is a flowchart of a process for obtaining a partition wet load rate in a load prediction result in an air conditioner control method according to an embodiment of the present invention;

fig. 8 is a flowchart of step S104 in another air conditioner control method according to an embodiment of the present invention;

Fig. 9 is a schematic structural diagram of an air conditioner control device according to an embodiment of the present invention;

Fig. 10 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.

Icon:

910 a data acquisition module; 920-load prediction module; 930-a first control module; 940-a second control module;

A 101-processor; 102-memory; 103-bus; 104-communication interface.

Detailed Description

For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the present invention will be clearly and completely described in conjunction with the embodiments, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.

An air conditioning system is generally configured in the current subway station, the air conditioning system only operates in a partial load state in most of time, the load change rate is high, the fluctuation is high, and the operation efficiency of the air conditioning system is low. The running state of the air conditioning system equipment needs to be regulated according to factors such as passenger flow volume, driving organization, meteorological parameters, running time period and the like, the existing air conditioning system is based on PID feedback control in the regulating process, the regulating process is longer, the response speed is slower, certain hysteresis exists, and energy waste is easy to generate. Based on the above, the embodiment of the invention provides an air conditioner control method, an air conditioner control device and electronic equipment, which are used for accurately controlling an air conditioner operation process according to an air conditioner control area in a station, and fully utilizing passenger flow data and meteorological data to rapidly respond to the air conditioner operation process, so that the accuracy and speed of the air conditioner control process are improved, and the problems of low operation efficiency and slow control response in the air conditioner control process in the prior art are solved.

For the sake of understanding the present embodiment, first, a detailed description will be given of an air conditioner control method disclosed in the embodiment of the present invention, where the method is shown in fig. 1, and includes:

step S101, acquiring meteorological data, driving data and historical operation data of an air conditioning system of a station.

The step is a data acquisition step, and firstly, weather data of a station at a future moment of the position of the station is acquired. Specifically, weather data is to obtain the outdoor temperature and humidity of a station at the next moment according to weather forecast, the driving organization mainly uses the driving interval time, the date and time characteristics refer to the day of the week, the working day or the rest day and the holiday, and the time characteristics refer to whether the peak is early, late or even. The historical operation data is the relevant operation data counted by the station in the past time period and can be stored in a corresponding database.

Step S102, determining a temperature control partition in the station, and determining predicted load data of the temperature control partition according to date and time characteristic data, weather data and driving data in a future time period and based on historical operation data.

The step is a load prediction step, and after a temperature control partition in a station is determined, weather data, driving data and the like at a future moment and historical operation data of an air conditioner are analyzed, so that an air conditioner load corresponding to the temperature control partition at the future moment is obtained and described as predicted load data.

Step S103, determining a first control instruction corresponding to the station air conditioning system based on the predicted load data, and controlling the air conditioning system to operate according to the first control instruction.

The step is a first control step, and a first control instruction corresponding to the air conditioner is determined after the predicted load data is fully analyzed, so that the air conditioner is controlled to operate according to the first control instruction at a future moment. Specifically, in the step, a first operation instruction of the air conditioner in future time is set in advance by using the predicted load data, and the air conditioner is controlled to actively adjust by actively using the first operation instruction.

Step S104, determining a second control instruction corresponding to the air conditioning system according to the environmental parameters of the temperature control partition, and controlling the air conditioning system to operate according to the second control instruction.

The step is a second control step, and feedback control is performed according to the temperature, humidity and other data of the air conditioner partition collected by the related sensors in the temperature control partition, so as to determine a corresponding control instruction. The environmental parameters of the temperature control partition are mainly temperature and humidity, and the feedback control process can be used for dynamically controlling the air conditioning system in a PID mode.

In one embodiment, the data acquisition step S101, as shown in fig. 2, includes:

Step S201, acquiring meteorological data corresponding to a station; the weather data at least comprises outdoor temperature and humidity of a station in a future period through weather forecast;

step S202, date type data and time characteristic data corresponding to the station are determined, and driving data of the station are determined according to the date type data and the time characteristic data;

Step S203, all the air conditioners contained in the station are obtained, and historical operation data corresponding to the water chilling unit contained in the air conditioner and the tail end of the air conditioner are determined.

Specifically, the future period data that is required and can be acquired mainly includes: weather data, driving information, date and time characteristics. The weather data is to acquire the outdoor temperature and humidity of the station in the future period according to weather forecast; the driving organization is mainly the departure interval time of the future period; date and time characteristics are characteristics of future time periods, i.e., day of week, day of work or day of rest, holiday, early peak, late peak, or flat peak. The power consumption equipment of the air conditioning system of the subway station comprises a water chilling unit, an air conditioning tail end, a chilled water pump, a cooling tower and the like, wherein the water chilling unit and the air conditioning tail end fan are the most main energy consumption equipment, and the total energy consumption of the water chilling unit and the air conditioning tail end fan is more than 80% of the total energy consumption of the air conditioning system, so that the water chilling unit and the air conditioning tail end fan are optimally controlled in operation, and the operation efficiency of the air conditioning system can be obviously improved. In the data collection step, all air conditioners contained in a station are firstly obtained, and the operation parameters of a water chilling unit, an air conditioner tail end, a water pump and a cooling tower corresponding to the air conditioners are determined; and then determining a temperature control partition corresponding to the air conditioner based on the service area.

In one embodiment, the load prediction step S102, as shown in fig. 3, includes:

Step S301, determining a temperature control partition corresponding to air conditioner in a station according to a service area of the air conditioner;

step S302, acquiring historical operation data of an air conditioner under a temperature control partition, and constructing a load prediction model by utilizing the historical operation data;

step S303, after date and time characteristic data, meteorological data and driving data in a future time period are input into a load prediction model, load prediction results of all temperature control partitions output by the load prediction model are obtained; wherein, the load prediction result at least comprises: system cold load rate, partition wet load rate, and partition cold load rate;

step S304, based on the load prediction results of the temperature control partitions, the predicted load data of the temperature control partitions in the future time period is determined.

Firstly, dividing a subway station into a plurality of temperature control subareas according to the service area of each group of air-conditioning terminal equipment; the load prediction model is then used to make predictions on a partition basis. Specifically, the temperature prediction step can be implemented by using a relevant load prediction model, and because the air conditioning load of the subway station has strong regularity and predictability, the subway station can be partitioned according to the area served by each group (platform) of air conditioners, and a corresponding temperature control partition is obtained. And then, according to the date type, the operation period, the passenger flow volume, the outdoor meteorological parameters, the historical operation data and the like, establishing a load prediction model corresponding to each temperature control partition.

In one embodiment, the first control step S103, as shown in fig. 4, includes:

Step S401, determining a water chilling unit opening instruction contained in a first control instruction according to the system cooling load rate, and controlling the water chilling unit to operate by utilizing the opening quantity determined by the water chilling unit opening instruction;

step S402, determining a water supply temperature of the water chiller required by the temperature control partition by utilizing the partition wet load rate, determining a water chiller temperature instruction contained in the first control instruction according to the water supply temperature of the water chiller, and controlling a water chiller of the air conditioner to operate according to the water chiller temperature instruction;

step S403, generating an operation control instruction contained in the first control instruction according to the operation parameters of the air conditioner end fan of the air conditioner system determined by the partition cold load rate, and controlling the air conditioner end fan of the air conditioner system to operate according to the operation control instruction.

The first control step is to set and execute an air conditioner control command at a future time in advance according to the predicted load data, thereby improving the control efficiency. Specifically, firstly, determining a water chiller starting instruction according to a system cold load rate, and controlling a water chiller of an air conditioner to operate by utilizing the starting quantity determined by the water chiller starting instruction; then determining the water supply temperature of the water chiller required by the temperature control partition by utilizing the partition wet load rate, determining a water chiller temperature instruction, and controlling the water chiller of the air conditioner to operate according to the water chiller temperature instruction; and auxiliary equipment such as a water pump and a cooling tower of the air conditioner are regulated in a coordinated manner, and the water pump and the cooling tower are controlled to operate through the generated operation parameters. The running states of auxiliary equipment such as a water pump and the like are automatically matched according to the corresponding relation with the running requirements of the water chilling unit.

In one embodiment, the second control step S104, as shown in fig. 5, includes:

Step S501, acquiring a return air temperature value and an air supply temperature value of the tail end of the air conditioner according to environmental parameters of the temperature control partition;

Step S502, comparing the return air temperature value with a preset first temperature threshold value, and determining the fan operation frequency at the tail end of the air conditioner according to a comparison result;

Step S503, comparing the air supply temperature value with a preset second temperature threshold value, and determining the opening of an electric water valve at the tail end of the air conditioner according to a comparison result;

step S504, controlling the air conditioning system to operate based on a second control instruction determined by the fan operating frequency and the opening degree of the electric water valve.

The return air temperature and the supply air temperature are directly read by a temperature and humidity sensor arranged in the air conditioning system; further, according to the return air temperature obtained by a sensor arranged in the air conditioning system, comparing the return air temperature with a preset first temperature threshold value; and then according to the comparison result, the operation frequency of the fan is adjusted by utilizing a preset rule. Similarly, according to the air supply temperature obtained by a sensor arranged in the air conditioning system, the air supply temperature is compared with a preset second temperature threshold value, so that the opening degree of the electric water valve is adjusted according to the comparison result and based on a preset rule, and the air supply temperature is kept stable.

And the second control step is to perform feedback control on the basis of the first control step, thereby realizing correction and deviation correction of the tail end of the air conditioner, and adjusting the opening of an electric regulating valve of the tail end of the air conditioner according to the deviation between the air supply temperature of the tail end of the air conditioner and a set value. And according to the opening degree of the electric regulating valve, the running frequency of the cold water pump is regulated according to a preset rule. In a specific scene, if the deviation between the actual air temperature and humidity in the temperature control partition and the set value exceeds a preset range (for example, the temperature exceeds the set value by 2 ℃, and the relative humidity exceeds 70%), PID control is adopted, and the fan running frequency and the opening of the electric water valve at the tail end of the air conditioner are dynamically (for example, 15 minutes apart) adjusted to be used as the supplement and adjustment of the first control step so as to eliminate the influence of load prediction deviation and load fluctuation on the temperature and humidity. When the fan frequency and the opening degree of the electric water valve in the second control step are regulated to reach the limit value and the temperature or the humidity still deviate, the water supply temperature of the water chilling unit and the running number of the water chilling unit and related auxiliary equipment are required to be regulated.

It should be noted that, the air conditioning load of the subway station includes a cooling load and a wet load, and thus in the process of acquiring the system cooling load rate and the partition cooling load rate, as shown in fig. 6, includes:

step S601, obtaining predicted cold load values of all temperature control partitions output by a load prediction model;

step S602, determining the ratio of the predicted cold load value to the rated cold load value preset by the temperature control partition as the partition cold load rate;

step S603, determining the accumulated result of the predicted cold load values of all the temperature control partitions as the system cold load value of the air conditioner;

in step S604, the ratio of the system cooling load value to the rated cooling load value of the air conditioner is determined as the system cooling load rate.

Specifically, according to the predicted cooling load value of each temperature control partition, the partition cooling load rate=the predicted cooling load value of the partition/the rated cooling load value of the partition (the maximum cooling load value corresponding to the air conditioning system in the partition under the design working condition) is calculated. And adding the predicted cold load values of the partitions to obtain a cold load value of the air conditioning system, and further calculating a system cold load rate=the system cold load value/the rated cold load value of the system (the maximum cold load of the air conditioning system under the design working condition).

In one embodiment, the process of obtaining the partition wet load rate in the load prediction result, as shown in fig. 7, includes:

Step S701, obtaining predicted wet load values of all temperature control partitions output by a load prediction model;

step S702, determining the ratio of the predicted wet load value to the rated wet load value preset by the temperature control partition as the partition wet load rate.

In an actual scene, according to the predicted wet load value of each temperature control partition, calculating the predicted wet load rate of the partition = the predicted wet load value of the partition/the rated wet load of the partition, further determining the highest chilled water supply temperature required by the air conditioner terminal equipment of each temperature control partition according to the partition wet load rate, and taking the minimum value in all the highest chilled water supply temperatures as the water supply temperature of the water chilling unit.

The load prediction model may be further modified after construction, and in an embodiment, the load prediction step S102, as shown in fig. 8, further includes:

step S801, acquiring actual load data and equipment operation data of a temperature control partition in a future time period;

Step S802, inputting actual load data, equipment operation data and predicted load data into a load prediction model, and controlling to conform to the prediction model to execute a correction process.

In an actual scene, for a load prediction model, after the actual load data and equipment operation data of a temperature control partition at a future moment are obtained, the actual load data and the equipment operation data are compared with predicted load data predicted by the model, the comparison process can be realized in the load prediction model, and the actual load data, the equipment operation data and the predicted load data are input into the load prediction model, so that the load prediction model can be continuously optimized, and the prediction accuracy is improved.

According to the air conditioner control method in the embodiment, the main energy consumption equipment of the air conditioner system is actively and rapidly controlled according to the load prediction result, so that the accurate adjustment of the running number of the water chilling units and the water outlet temperature of the water chilling units can be realized, the running frequency control precision of the tail end fan of the air conditioner is improved, and the matching performance of cold energy supply, tail end output and actual requirements is improved.

Meanwhile, the method shortens the adjustment time, improves the response speed, reduces the control hysteresis, reduces the overshoot, enables the air conditioning system to rapidly adapt to the load change, reduces the energy waste caused by excessive supply and reduces the comfort reduction caused by insufficient supply.

According to the predicted cold load, determining the combined running state of the water chilling unit according to a preset starting strategy, and ensuring that the water chilling unit started under different load rates of an air conditioning system can run in a high-efficiency zone; meanwhile, the variable water temperature of the water chilling unit is adjusted according to the predicted wet load of the air conditioning area, so that the adjustment of the water supply temperature is closer to the load demand. On the basis of meeting the dehumidification requirement, the water supply temperature of the water chilling unit is improved as much as possible, and the running energy efficiency of the unit is improved.

The method can organically combine predictive control and feedback control, the system feedforward control based on load prediction can improve the control speed, and the PID feedback control of actual monitoring data is combined to ensure the control precision, so that the high-efficiency control and energy-saving operation of the system are realized.

For the air conditioner control method provided in the foregoing embodiment, the embodiment of the present invention provides an air conditioner control device, which is applied to an energy-saving control and adjustment process of a station air conditioner system. As shown in fig. 9, the air conditioner control device includes:

the data acquisition module 910 is configured to acquire weather data, driving data, and historical operation data of an air conditioning system of the station;

The load prediction module 920 is configured to determine a temperature control partition in the station, and determine predicted load data of the temperature control partition according to date and time feature data, weather data, and driving data in a future time period and based on historical operation data;

The first control module 930 is configured to determine a first control instruction corresponding to the air conditioning system of the station based on the predicted load data, and control the air conditioning system to operate according to the first control instruction;

the second control module 940 is configured to determine a second control instruction corresponding to the air conditioning system according to the environmental parameter of the temperature control partition, and control the air conditioning system to operate according to the second control instruction _.

According to the air conditioner control device, the load data is predicted according to the air conditioner control area in the station, so that the air conditioner operation process is accurately controlled, the passenger flow data and the meteorological data are fully utilized to quickly respond to the air conditioner adjustment process, the accuracy and the speed of the air conditioner control process are improved, and the problems of low operation efficiency and slow control response in the air conditioner control process in the prior art are solved.

The air conditioner control device provided by the embodiment of the invention has the same implementation principle and technical effects as those of the air conditioner control method embodiment, and for the sake of brief description, reference may be made to corresponding contents in the air conditioner control method embodiment.

The embodiment also provides an electronic device, the structural schematic diagram of which is shown in fig. 10, the device includes a processor 101 and a memory 102; the memory 102 is used for storing one or more computer instructions, and the one or more computer instructions are executed by the processor to implement the steps of the air conditioner control method.

The electronic device shown in fig. 10 further comprises a bus 103 and a communication interface 104, the processor 101, the communication interface 104 and the memory 102 being connected by the bus 103.

The memory 102 may include a high-speed random access memory (RAM, random Access Memory), and may further include a non-volatile memory (non-volatile memory), such as at least one disk memory. Bus 103 may be an ISA bus, a PCI bus, an EISA bus, or the like. The buses may be divided into address buses, data buses, control buses, etc. For ease of illustration, only one bi-directional arrow is shown in FIG. 10, but not only one bus or type of bus.

The communication interface 104 is configured to connect with at least one user terminal and other network units through a network interface, and send the encapsulated IPv4 message or the IPv4 message to the user terminal through the network interface.

The processor 101 may be an integrated circuit chip with signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware in the processor 101 or instructions in the form of software. The processor 101 may be a general-purpose processor, including a central processing unit (Central Processing Unit, abbreviated as CPU), a network processor (Network Processor, abbreviated as NP), and the like; but may also be a digital signal Processor (DIGITAL SIGNAL Processor, DSP), application Specific Integrated Circuit (ASIC), field-Programmable gate array (FPGA) or other Programmable logic device, discrete gate or transistor logic device, discrete hardware components. The various methods, steps and logic blocks of the disclosure in the embodiments of the disclosure may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with the embodiments of the present disclosure may be embodied directly in hardware, in a decoded processor, or in a combination of hardware and software modules in a decoded processor. The software modules may be located in a random access memory, flash memory, read only memory, programmable read only memory, or electrically erasable programmable memory, registers, etc. as well known in the art. The storage medium is located in the memory 102, and the processor 101 reads information in the memory 102, and in combination with its hardware, performs the steps of the method of the previous embodiment.

The embodiment of the invention also provides a storage medium, and a computer program is stored on the storage medium, and the computer program is executed by a processor to execute the steps of the hollow control method in the previous embodiment.

In the several embodiments provided by the present application, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. The above-described apparatus embodiments are merely illustrative, for example, the division of units is merely a logical function division, and there may be other manners of division in actual implementation, and for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some communication interface, indirect coupling or communication connection of devices or units, electrical, mechanical, or other form.

The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of 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.

In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.

The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a non-volatile computer readable storage medium executable by a processor. Based on this understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a usb disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.

Finally, it should be noted that: the above examples are only specific embodiments of the present invention, and are not intended to limit the scope of the present invention, but it should be understood by those skilled in the art that the present invention is not limited thereto, and that the present invention is described in detail with reference to the foregoing examples: any person skilled in the art may modify or easily conceive of the technical solution described in the foregoing embodiments, or perform equivalent substitution of some of the technical features, while remaining within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention, and are intended to be included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims (10)

1. An air conditioner control method, wherein the method is applied to an energy-saving control and regulation process of a station air conditioning system, and the method comprises the following steps:

a data acquisition step of acquiring meteorological data, driving data and historical operation data of the air conditioning system of the station;

A load prediction step of determining a temperature control partition in the station, and determining predicted load data of the temperature control partition according to date and time characteristic data, the meteorological data and driving data in a future time period and based on the historical operation data;

a first control step of determining a first control instruction corresponding to the station air conditioning system based on the predicted load data and controlling the air conditioning system to operate according to the first control instruction;

And a second control step of determining a second control instruction corresponding to the air conditioning system according to the environmental parameters of the temperature control partition, and controlling the air conditioning system to operate according to the second control instruction.

2. The air conditioner control method according to claim 1, wherein the data acquisition step includes:

acquiring meteorological data corresponding to the station; the weather data at least comprises outdoor temperature and humidity of the station in a future period through weather forecast;

Determining date type data and time characteristic data corresponding to the station, and determining driving data of the station according to the date type data and the time characteristic data;

And acquiring all the air conditioners contained in the station, and determining historical operation data corresponding to a water chilling unit contained in the air conditioner and the tail end of the air conditioner.

3. The air conditioner control method according to claim 1, wherein the load prediction step includes:

Determining a temperature control partition corresponding to the air conditioner in the station according to the service area of the air conditioner;

Acquiring historical operation data of the air conditioner under the temperature control partition, and constructing a load prediction model by utilizing the historical operation data;

after date and time characteristic data, meteorological data and driving data in a future time period are input into the load prediction model, load prediction results of the temperature control partitions output by the load prediction model are obtained; wherein the load prediction result at least comprises: system cold load rate, partition wet load rate, and partition cold load rate;

the predicted load data of the temperature control zone over a future time period is determined based on the load prediction results of the respective temperature control zones.

4. The air conditioner control method according to claim 3, wherein the first control step includes:

determining a water chilling unit opening instruction contained in the first control instruction according to the system cold load rate, and controlling the water chilling unit to operate by utilizing the opening quantity determined by the water chilling unit opening instruction;

Determining a water supply temperature of the water chiller required by the temperature control partition by utilizing the partition wet load rate, determining a water chiller temperature instruction contained in the first control instruction according to the water supply temperature of the water chiller, and controlling a water chiller of the air conditioner to operate according to the water chiller temperature instruction;

and generating an operation control instruction contained in the first control instruction according to the running parameters of the air-conditioning terminal fan of the air-conditioning system, which are determined by the partition cold load rate, and controlling the air-conditioning terminal fan of the air-conditioning system to run according to the operation control instruction.

5. The air conditioner control method according to claim 4, wherein the second control step includes:

acquiring a return air temperature value and an air supply temperature value of the tail end of the air conditioner according to the environmental parameters of the temperature control partition;

Comparing the return air temperature value with a preset first temperature threshold value, and determining the running frequency of the air conditioner tail end fan according to a comparison result;

Comparing the air supply temperature value with a preset second temperature threshold value, and determining the opening of the electric water valve at the tail end of the air conditioner according to a comparison result;

And controlling the air conditioning system to operate based on the second control instruction determined by the fan operating frequency and the opening of the electric water valve.

6. The air conditioner control method according to claim 3, wherein the acquiring process of the system cooling load rate and the partition cooling load rate in the load prediction result includes:

obtaining predicted cold load values of all the temperature control partitions output by the load prediction model;

determining the ratio of the predicted cold load value to a rated cold load value preset by the temperature control partition as the partition cold load rate;

determining the accumulated result of the predicted cold load values of all the temperature control partitions as a system cold load value of the air conditioner;

And determining the ratio of the system cooling load value to the rated cooling load value of the air conditioner as the system cooling load rate.

7. The air conditioner control method according to claim 3, wherein the process of obtaining the partition wet load rate in the load prediction result includes:

obtaining predicted wet load values of all the temperature control partitions output by the load prediction model;

and determining the ratio of the predicted wet load value to the rated wet load value preset by the temperature control partition as the partition wet load rate.

8. The air conditioner control method according to claim 3, wherein the load predicting step further comprises:

Acquiring actual load data and equipment operation data of the temperature control partition in a future time period;

Inputting the actual load data, the equipment operation data and the predicted load data into the load prediction model, and controlling the load prediction model to execute a correction process.

9. An air conditioner control device, characterized in that the device is applied to an energy-saving control and regulation process of a station air conditioning system, the device comprising:

The data acquisition module is used for acquiring meteorological data and driving data of the station and historical operation data of the air conditioning system;

The load prediction module is used for determining a temperature control partition in the station, and determining predicted load data of the temperature control partition according to date and time characteristic data, the meteorological data and driving data in a future time period and based on the historical operation data;

The first control module is used for determining a first control instruction corresponding to the station air conditioning system based on the predicted load data and controlling the air conditioning system to operate according to the first control instruction;

and the second control module is used for determining a second control instruction corresponding to the air conditioning system according to the environmental parameters of the temperature control partition and controlling the air conditioning system to operate according to the second control instruction.

10. An electronic device comprising a processor and a memory, the memory storing computer-executable instructions executable by the processor, the processor executing the computer-executable instructions to implement the steps of the air conditioning control method of any of claims 1 to 8.