A dynamic control method for an efficient and energy-saving air-conditioning refrigerating machine

Abstract

The present invention relates to the technical field of dynamic control of air conditioners, and discloses a dynamic control method for an efficient and energy-saving air-conditioning refrigerating machine, including: obtaining the current refrigeration value of a target device, judging whether the target device is working properly, forming power analysis data, forming power consumption analysis data, forming power consumption adjustment data, and performing off-peak power consumption adjustment on users. This dynamic control method for an efficient and energy-saving air-conditioning refrigerating machine judges whether the device is working properly, judges whether there are abnormalities in the power supply and circuit of the air-conditioning refrigerating machine, and judges whether it is due to users using too many high-power devices simultaneously that causes the air-conditioning refrigerating machine to malfunction. According to the user's historical usage habits and shutdown selection habits, determine the devices that can be shut down, timely determine the reason for the abnormal operation of the air-conditioning refrigerating machine, and shut down the devices that are not needed, avoiding waste of electric energy and damage to the devices, reducing the number of equipment inspections, shortening the equipment inspection time, and reducing the inconvenience caused to users in their lives.

Description

Technical Field

[0001] The present invention relates to the technical field of air conditioner dynamic control, and specifically to a dynamic control method for an efficient and energy-saving air conditioner chiller. Background Art

[0002] With the continuous growth of global energy demand and the increasingly serious environmental problems, energy conservation and emission reduction have become an important issue in all industries. As one of the most energy-consuming devices in modern buildings, the energy efficiency optimization of air conditioning systems is particularly crucial. Most traditional air conditioner chiller control methods are based on fixed set values or simple feedback control, lacking the ability to respond to dynamic changes, resulting in energy waste and insufficient control accuracy. Therefore, an efficient and energy-saving air conditioner chiller dynamic control method can significantly improve the energy efficiency of the system and reduce energy consumption by introducing advanced control technologies and energy efficiency optimization measures. This method is not only applicable to household air conditioning systems but also widely used in commercial and industrial air conditioning systems, with important economic and environmental benefits. With the continuous progress of technology, dynamic control methods will play an increasingly important role in future air conditioning systems;

[0003] Existing efficient and energy-saving air conditioner chiller dynamic control methods cannot judge whether the equipment is working properly according to the refrigeration degree of the air conditioner chiller, cannot judge whether the power supply and circuit of the air conditioner chiller are abnormal based on the position where the air conditioner chiller is connected to the power supply line and the conditions of other electrical equipment on this power supply line, and cannot judge whether it is due to users using too many high-power devices simultaneously that causes the air conditioner chiller to malfunction. They cannot judge and determine the devices that can be shut down according to the user's historical usage habits of each high-power device and the user's shutdown selection habits when too many high-power devices are used. They cannot timely determine the reasons for the abnormal operation of the air conditioner chiller and shut down the devices that are not needed, which easily causes waste of electric energy and damage to the devices, thus causing inconvenience to users in their lives, and there are certain limitations in its practicality. Summary of the Invention

[0004] The present invention provides a dynamic control method for an efficient and energy-saving air conditioner chiller to help solve the problems mentioned in the background art.

[0005] The present invention provides the following technical solution: A dynamic control method for an efficient and energy-saving air conditioner chiller, including:

[0006] Obtain the current refrigeration value of the target device and define it as the current refrigeration value;

[0007] Obtain the set refrigeration value of the target device;

[0008] If the current refrigeration value ≥ set refrigeration value × (1 - 8%) and the current refrigeration value ≤ set refrigeration value × (1 + 8%), then determine that the target device is working properly and do not perform adjustment;

[0009] If the current refrigeration value > the set refrigeration value × (1 + 8%) or the current refrigeration value < the set refrigeration value × (1 - 8%), it is determined that the target device is operating abnormally, and the power data of the target device is obtained;

[0010] Based on the power data of the target device, through the power analysis strategy, power analysis data is formed;

[0011] The power analysis data includes normal power supply and abnormal power supply;

[0012] If the power analysis data indicates normal power supply, the user is prompted to perform maintenance on the target device;

[0013] If the power analysis data indicates abnormal power supply, the power consumption data of the target user is obtained;

[0014] Based on the power consumption data of the target user, through the power consumption analysis strategy, power consumption analysis data is formed;

[0015] Based on the power consumption analysis data, through the power consumption adjustment strategy, power consumption adjustment data is formed;

[0016] According to the power consumption adjustment data, the power consumption equipment in the user's room is adjusted for off-peak power consumption, and the current refrigeration value of the target device is obtained again;

[0017] If it is determined that the target device is operating normally, no adjustment is performed;

[0018] If it is determined that the target device is operating abnormally, the user is prompted to perform maintenance on the target device.

[0019] As an alternative solution of the dynamic control method for the high-efficiency and energy-saving air-conditioning refrigerating machine described in the present invention, wherein: the power analysis strategy is specifically:

[0020] Obtain the position of the power interface where the target device is connected to the power supply line, and define it as the device interface position;

[0021] Obtain all the connected devices on the power supply line, and define them as the analysis devices;

[0022] Obtain the number of analysis devices, and define it as the analysis quantity;

[0023] Set the limit quantity;

[0024] If the analysis quantity ≤ the limit quantity, obtain the power data of the target device, and define it as the power consumption data;

[0025] Obtain the power data of each analysis device, and define it as the analysis power consumption data;

[0026] Extract the analysis devices corresponding to the analysis power consumption data that is the same as the power consumption data, and define them as the same devices;

[0027] If there are identical devices, obtain the power-on data of each identical device and define it as the reference power-on data;

[0028] Obtain the power-on data of the target device and define it as the current power-on data;

[0029] Extract the identical devices for which the reference power-on data ≠ the current power-on data and define them as reference devices;

[0030] If there are reference devices, determine that the target device is malfunctioning and prompt the user to repair the target device;

[0031] If there are no reference devices, determine that the power supply line is abnormal and prompt the user to repair the power supply line;

[0032] If there are no identical devices, obtain the power data of the power supply line and define it as the power supply data;

[0033] If the power consumption data = the power supply data, determine that the target device is malfunctioning and prompt the user to repair the target device;

[0034] If the power consumption data ≠ the power supply data, determine that the power supply of the target device is abnormally used and prompt the user to repair the target device and replace it with a suitable device interface position;

[0035] If the analysis quantity > the limit quantity, execute the error analysis strategy.

[0036] As an alternative solution of the dynamic control method for the highly efficient and energy-saving air-conditioning refrigerating machine described in the present invention, wherein: the error analysis strategy is specifically:

[0037] Obtain the power consumption data and the power supply data;

[0038] Obtain the device interface position of the target device;

[0039] Obtain all the analysis devices;

[0040] Extract the power interface position where each analysis device is connected to the power supply line and define it as the analysis position;

[0041] Obtain the power position of the power supply line and define it as the power supply position;

[0042] Obtain the distance between the device interface position and the power supply position and define it as the first device distance;

[0043] Obtain the distance between each analysis position and the power supply position and define it as the second device distance;

[0044] Integrate the first device distance and all the second device distances to form a device distance set;

[0045] Sort all the elements in the device distance set in ascending order of their values;

[0046] Extract the first element in the device distance set and define it as the nearest element;

[0047] Extract the last element in the device distance set and define it as the farthest element;

[0048] Extract the distances corresponding to the nearest element and the farthest element and define them as the nearest distance and the farthest distance;

[0049] If the farthest distance - the nearest distance ≤ the nearest distance ÷ 3, then it is determined that the power supply error is large;

[0050] Obtain the current data of the power supply line;

[0051] Obtain the resistance data of the first device distance;

[0052] Calculate the power consumption data of the target device, where the power consumption data = the power supply data - (the current data × the resistance data);

[0053] If the power consumption data ≤ 95% of the power supply data, then it is determined that the power supply analysis data is power supply anomaly;

[0054] If the power consumption data > 95% of the power supply data, then it is determined that the power supply analysis data is normal power supply;

[0055] If the farthest distance - the nearest distance > the nearest distance ÷ 3, then it is determined that the power supply error is small, and at this time the power consumption data = the power supply data;

[0056] Then it is determined that the power supply analysis data is normal power supply.

[0057] As an alternative solution of the dynamic control method for the high-efficiency and energy-saving air-conditioning refrigerating machine described in the present invention, wherein: the power consumption analysis strategy is specifically:

[0058] Obtain all the analysis devices;

[0059] Obtain the historical usage data of each analysis device;

[0060] Extract the predetermined usage period of each analysis device;

[0061] Obtain the current usage period of the target device;

[0062] Define the analysis device with the predetermined usage period = the current usage period as the non-stop device;

[0063] Define the analysis device with the predetermined usage period ≠ the current usage period as the stoppable device;

[0064] Respectively obtain the quantities of the non-stop devices and the stoppable devices and define them as the non-stop quantity and the stoppable quantity;

[0065] If the non-stop quantity = non-stop quantity + stoppable quantity, then execute the shutdown analysis strategy;

[0066] If the non-stop quantity < non-stop quantity + stoppable quantity, then randomly extract a stoppable device, identify it as the selected shutdown device, and execute the power consumption adjustment strategy.

[0067] As an alternative solution of the dynamic control method for the high-efficiency and energy-saving air-conditioning refrigerating machine described in the present invention, wherein: the obtaining of the historical usage data of each analysis device is specifically as follows:

[0068] Obtain the current time;

[0069] Set the analysis duration;

[0070] Calculate the analysis time, analysis time = current time - analysis duration;

[0071] Taking the analysis time as the start time and the current time as the end time, form an analysis period;

[0072] Set the interval period;

[0073] Taking the analysis time as the start time, and forming a collection time every interval period;

[0074] Obtain the analysis time and all collection times within the analysis period to form a collection set;

[0075] Then an analysis sub-period is formed between every two adjacent elements in the collection set;

[0076] Obtain the device start time and device shutdown time of the analysis device in each analysis sub-period;

[0077] Then, taking the device start time as the start time and the device shutdown time as the end time, form a usage period;

[0078] Obtain all usage periods within the collection set to form a usage period set;

[0079] Obtain the usage duration corresponding to each element in the usage period set;

[0080] Calculate the average usage duration, average usage duration = sum of the usage durations of each element in the usage period set ÷ number of elements in the usage period set;

[0081] Extract the usage period with the device start time = current time as the reference usage period;

[0082] If there is a reference usage period, then calculate the scheduled end time of the analysis device, scheduled end time = current time + average usage duration;

[0083] Then, the period between the current time and the predetermined end time is recognized as the predetermined usage period;

[0084] If there is no reference period, then the usage period containing the current time is extracted and defined as the determination period;

[0085] If there is a determination period, then the equipment shutdown time of each determination period is extracted;

[0086] Calculate the interrupted usage duration of each determination period, where the interrupted usage duration = equipment shutdown time - current time;

[0087] Obtain the number of determination periods and define it as the determination quantity;

[0088] Calculate the average interruption duration, where the average interruption duration = the sum of the interrupted usage durations of each determination period ÷ the determination quantity;

[0089] Calculate the predetermined termination time of the analysis equipment, where the predetermined termination time = current time + average interruption duration;

[0090] Then, the period between the current time and the predetermined termination time is recognized as the predetermined usage period;

[0091] If there is no determination period, then it is determined that the predetermined usage period of the analysis equipment does not exist.

[0092] As an alternative solution of the dynamic control method for the high-efficiency and energy-saving air-conditioning refrigerating machine described in the present invention, wherein: the obtaining of the current usage period of the target equipment is specifically as follows:

[0093] Obtain the acquisition set and all analysis sub-periods;

[0094] Obtain the equipment start time and equipment stop time of the target equipment in each analysis sub-period;

[0095] Then, with the equipment start time as the start time and the equipment stop time as the end time, form the equipment usage period;

[0096] Obtain all the equipment usage periods within the acquisition set to form the equipment usage set;

[0097] Obtain the usage duration corresponding to each element in the equipment usage set;

[0098] Calculate the first average duration, where the first average duration = the sum of the usage durations of each element in the equipment usage set ÷ the number of elements in the equipment usage set;

[0099] Extract the equipment usage period with the equipment start time = current time and define it as the equipment reference period;

[0100] If there is a device reference period, calculate the current end time of the target device, where the current end time = the current time + the first average duration;

[0101] Then, the period between the current time and the current end time is recognized as the current usage period;

[0102] If there is no device reference period, extract the device usage period containing the current time and define it as the device determination period;

[0103] If there is a device determination period, extract the device stop time for each device determination period;

[0104] Calculate the device interruption duration for each device determination period, where the device interruption duration = the device stop time - the current time;

[0105] Obtain the number of device determination periods and define it as the device determination quantity;

[0106] Calculate the second average duration, where the second average duration = the sum of the device interruption durations for each device determination period ÷ the device determination quantity;

[0107] Calculate the current stop time of the target device, where the current stop time = the current time + the second average duration;

[0108] Then, the period between the current time and the current stop time is recognized as the current usage period;

[0109] If there is no device determination period, no determination is made.

[0110] As an alternative solution to the dynamic control method for the highly energy-efficient air-conditioning chiller described in the present invention, wherein: the shutdown analysis strategy is specifically as follows:

[0111] Obtain the historical selection data of the target user;

[0112] If the target user has historical selection data, extract the historical selection set;

[0113] Extract the shutdown devices corresponding to each element in the historical selection set;

[0114] Obtain the quantity of each shutdown device in the historical selection set and define it as the shutdown frequency;

[0115] Extract the shutdown device corresponding to the maximum shutdown frequency and recognize it as the shutdown operation device, and execute the power consumption adjustment strategy;

[0116] If the target user has no historical selection data, prompt the target user that the number of current high-power devices is too large and push the device shutdown selection interface;

[0117] Obtain the devices selected by the target user to shut down and operate, identify them as shut-down operating devices, and execute the power consumption adjustment strategy;

[0118] Store the devices selected by the target user to shut down and operate this time in the database and update the historical selection data.

[0119] As an alternative solution of the dynamic control method for the high-efficiency energy-saving air-conditioning chiller described in the present invention, wherein: the obtaining of the historical selection data of the target user is specifically:

[0120] Obtain the analysis period;

[0121] Obtain all the device shutdown selection interfaces received by the target user during the analysis period and define them as received selection interfaces;

[0122] Obtain all the received selection interfaces to form a historical reception set;

[0123] Extract the devices selected by the target user to stop operating for each received selection interface in the historical reception set and define them as shutdown devices;

[0124] Correspond all the shutdown devices to each element of the historical reception set one by one to form a historical selection set.

[0125] As an alternative solution of the dynamic control method for the high-efficiency energy-saving air-conditioning chiller described in the present invention, wherein: the power consumption adjustment strategy is specifically:

[0126] Obtain the devices selected to shut down or the shut-down operating devices and identify them as target shutdown devices;

[0127] Control the target shutdown devices to stop operating;

[0128] Obtain the current cooling value and the set cooling value of the target device;

[0129] If the current cooling value ≥ the set cooling value × (1 - 8%) and the current cooling value ≤ the set cooling value × (1 + 8%), it is determined that the target device is operating normally and no adjustment is performed;

[0130] If the current cooling value > the set cooling value × (1 + 8%) or the current cooling value < the set cooling value × (1 - 8%), it is determined that the target device is operating abnormally and the user is prompted to repair the target device.

[0131] The present invention has the following beneficial effects:

[0132] 1. The dynamic control method for the highly energy-efficient air conditioner refrigerating machine determines whether the equipment is operating normally by obtaining the current refrigeration value and the set refrigeration value of the target equipment. If the equipment is operating abnormally, it obtains the location where the air conditioner refrigerating machine is connected to the power supply line and the power consumption of other electrical equipment on this power supply line, determines whether there are many high-power devices connected to the power supply line, obtains the operating conditions of high-power devices with the same rated voltage as the air conditioner refrigerating machine, and obtains the distance between the power supply interface of each high-power device including the air conditioner refrigerating machine and the power supply of the power supply line, determines whether the power supply and circuit of the air conditioner refrigerating machine are abnormal, and determines whether it is due to the too long power supply line that causes an error between the voltage of the power supply and the actual voltage used, resulting in the situation that the air conditioner refrigerating machine has been using a mismatched power supply for a long time and finally causes the air conditioner refrigerating machine to operate abnormally, timely determines the reason for the abnormal operation of the air conditioner refrigerating machine, avoids more serious damage to the equipment, reduces the number of equipment inspections, shortens the equipment inspection time, and reduces the inconvenience to users' lives.

[0133] 2. The dynamic control method for the highly energy-efficient air conditioner refrigerating machine determines whether there are many high-power devices connected to the power supply line by obtaining the location where the air conditioner refrigerating machine is connected to the power supply line and the power consumption of other electrical equipment on this power supply line, thereby determining whether the abnormal operation of the air conditioner refrigerating machine is caused by users using too many high-power devices simultaneously, timely determines the reason for the abnormal operation of the air conditioner refrigerating machine, shuts down the equipment that does not need to be used, avoids waste of electric energy and damage to the equipment, reduces the number of equipment inspections, shortens the equipment inspection time, and reduces the inconvenience to users' lives.

[0134] 3. The dynamic control method for the highly energy-efficient air conditioner refrigerating machine determines and identifies the equipment that can be shut down by obtaining the user's historical usage habits of each high-power device and the user's shutdown selection habits when too many high-power devices are used, timely determines the reason for the abnormal operation of the air conditioner refrigerating machine, and shuts down the equipment that does not need to be used, avoids waste of electric energy and damage to the equipment, reduces the number of equipment inspections, shortens the equipment inspection time, and reduces the inconvenience to users' lives. BRIEF DESCRIPTION OF THE DRAWINGS

[0135] Figure 1 It is a flowchart of the dynamic control method for the highly energy-efficient air conditioner refrigerating machine of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0136] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0137] Example 1, a dynamic control method for an efficient and energy-saving air-conditioning refrigerating machine, refer to Figure 1 , including:

[0138] Obtain the current refrigeration value of the target device, which is defined as the current refrigeration value. The refrigeration value is the cold air temperature output by the air conditioner when the air-conditioning refrigerating machine performs refrigeration;

[0139] Obtain the set refrigeration value of the target device. The set refrigeration value is the cold air temperature that the user needs the air conditioner to reach and set;

[0140] If the current refrigeration value ≥ set refrigeration value × (1 - 8%) and the current refrigeration value ≤ set refrigeration value × (1 + 8%), it is determined that the target device is working normally and no adjustment is performed;

[0141] If the current refrigeration value > set refrigeration value × (1 + 8%) or the current refrigeration value < set refrigeration value × (1 - 8%), it is determined that the target device is working abnormally, and obtain the power supply data of the target device;

[0142] According to the power supply data of the target device, through the power supply analysis strategy, form the power supply analysis data;

[0143] The power supply analysis data includes normal power supply and abnormal power supply;

[0144] If the power supply analysis data is normal power supply, prompt the user to repair the target device;

[0145] If the power supply analysis data is abnormal power supply, obtain the power consumption data of the target user;

[0146] According to the power consumption data of the target user, through the power consumption analysis strategy, form the power consumption analysis data;

[0147] According to the power consumption analysis data, through the power consumption adjustment strategy, form the power consumption adjustment data;

[0148] According to the power consumption adjustment data, perform off-peak power consumption adjustment on the electrical equipment in the user's room, and obtain the current refrigeration value of the target device again;

[0149] If it is determined that the target device is working normally, no adjustment is performed;

[0150] If it is determined that the target device is working abnormally, prompt the user to repair the target device.

[0151] Through the above method, determine whether the equipment is working properly according to the refrigeration degree of the air conditioner chiller, and judge whether the power supply and circuit of the air conditioner chiller are abnormal according to the position where the air conditioner chiller is connected to the power supply line and the conditions of other electrical equipment on this power supply line, and determine whether it is because the user uses too many high-power devices at the same time that causes the air conditioner chiller to fail to operate normally. According to the user's historical usage habits of each high-power device and the user's shutdown selection habits of the devices when too many high-power devices are used, judge and determine the devices that can be shut down, timely determine the reasons for the abnormal operation of the air conditioner chiller, and shut down the devices that are not needed, so as to avoid waste of electric energy and damage to the devices, reduce the number of equipment inspections, shorten the equipment inspection time, and reduce the inconvenience to the user's life.

[0152] Embodiment 2. This embodiment is an improvement made on the basis of Embodiment 1. For the dynamic control method of the high-efficiency and energy-saving air conditioner chiller, the power supply analysis strategy is specifically as follows:

[0153] Obtain the power interface position of the target device connected to the power supply line, and define it as the device interface position;

[0154] Obtain all the connected devices on the power supply line, and define them as the analysis devices. The connected devices are high-power electrical devices connected to the power supply line, such as air conditioners, water heaters, etc. The connected devices do not include the target device;

[0155] Obtain the number of analysis devices, and define it as the analysis quantity;

[0156] Set a limit quantity. The limit quantity is the maximum number of high-power devices that can be used simultaneously. For example, the limit quantity is 3;

[0157] If the analysis quantity ≤ the limit quantity, then obtain the power supply data of the target device, and define it as the power consumption data. The power supply data is the rated voltage of the device;

[0158] Obtain the power supply data of each analysis device, and define it as the analysis power consumption data;

[0159] Extract the analysis devices corresponding to the analysis power consumption data that is the same as the power consumption data, and define them as the same devices;

[0160] If there are the same devices, then obtain the power-on data of each same device, and define it as the reference power-on data. The power-on data is whether the device is powered on normally, that is, whether the device operates normally under the current power supply voltage;

[0161] Obtain the power-on data of the target device, and define it as the current power-on data;

[0162] Extract the same devices with the reference power-on data ≠ the current power-on data, and define them as the reference devices;

[0163] If a reference device exists, it is determined that the target device is malfunctioning, and the user is prompted to repair the target device;

[0164] If no reference device exists, it is determined that the power supply line is abnormal, and the user is prompted to repair the power supply line;

[0165] If no identical device exists, the power data of the power supply line is obtained and defined as the power supply data;

[0166] If the power consumption data = the power supply data, it is determined that the target device is malfunctioning, and the user is prompted to repair the target device;

[0167] If the power consumption data ≠ the power supply data, it is determined that the power supply of the target device is abnormally used, and the user is prompted to repair the target device and replace it with a suitable device interface position. That is, the abnormal operation of the target device may be caused by using a power supply that does not match its rated voltage for a long time, and the device needs to be repaired and a power supply that matches the rated voltage of the device should be used for replacement;

[0168] If the analysis quantity > the limit quantity, an error analysis strategy is executed.

[0169] Among them, the error analysis strategy is specifically:

[0170] Obtain the power consumption data and the power supply data;

[0171] Obtain the device interface position of the target device;

[0172] Obtain all the analysis devices;

[0173] Extract the power interface position where each analysis device is connected to the power supply line and define it as the analysis position;

[0174] Obtain the power position of the power supply line and define it as the power supply position;

[0175] Obtain the distance between the device interface position and the power supply position and define it as the first device distance;

[0176] Obtain the distance between each analysis position and the power supply position and define it as the second device distance;

[0177] Integrate the first device distance and all the second device distances to form a device distance set;

[0178] Sort all the elements in the device distance set from smallest to largest according to the numerical value;

[0179] Extract the first element in the device distance set and define it as the nearest element;

[0180] Extract the last element in the device distance set and define it as the farthest element;

[0181] Extract the distances corresponding to the nearest element and the farthest element, and define them as the nearest distance and the farthest distance;

[0182] If the farthest distance - the nearest distance ≤ the nearest distance ÷ 3, it is determined that the power supply error is large;

[0183] Obtain the current data of the power supply line, and the current data is the current value on the power supply line;

[0184] Obtain the resistance data of the distance of the first device, and the resistance data is the resistance of the power supply line of this length;

[0185] Calculate the power consumption data of the target device, where the power consumption data = the power supply data - (the current data × the resistance data);

[0186] If the power consumption data ≤ 95% of the power supply data, it is determined that the power analysis data is power supply abnormality;

[0187] If the power consumption data > 95% of the power supply data, it is determined that the power analysis data is normal power supply;

[0188] If the farthest distance - the nearest distance > the nearest distance ÷ 3, it is determined that the power supply error is small, and at this time the power consumption data = the power supply data;

[0189] Then it is determined that the power analysis data is normal power supply.

[0190] Embodiment 3, this embodiment is an improvement made on the basis of Embodiment 2. In this embodiment, the power consumption analysis strategy is specifically as follows:

[0191] Obtain all analysis devices;

[0192] Obtain the historical usage data of each analysis device;

[0193] Extract the predetermined usage period of each analysis device;

[0194] Obtain the current usage period of the target device;

[0195] Define the analysis device with the predetermined usage period = the current usage period as the non-stop device;

[0196] Define the analysis device with the predetermined usage period ≠ the current usage period as the stoppable device;

[0197] Respectively obtain the quantities of the non-stop devices and the stoppable devices, and define them as the non-stop quantity and the stoppable quantity;

[0198] If the non-stop quantity = the non-stop quantity + the stoppable quantity, execute the shutdown analysis strategy;

[0199] If the non-stop quantity < the non-stop quantity + the stoppable quantity, randomly extract a stoppable device, identify it as the selected shutdown device, and execute the power consumption adjustment strategy.

[0200] Among them, the obtaining of the historical usage data of each analysis device is specifically as follows:

[0201] Obtain the current time;

[0202] Set the analysis duration, and the analysis duration is 30 days;

[0203] Calculate the analysis time, analysis time = current time - analysis duration;

[0204] Form an analysis period with the analysis time as the start time and the current time as the end time;

[0205] Set the interval period, and the interval period is 24 hours;

[0206] Form a collection time every interval period starting from the analysis time;

[0207] Obtain the analysis time and all collection times within the analysis period to form a collection set, and the collection time includes the current time;

[0208] Then an analysis sub-period is formed between every two adjacent elements in the collection set;

[0209] Obtain the device start time and device shutdown time of the analysis device in each analysis sub-period;

[0210] Then form a usage period with the device start time as the start time and the device shutdown time as the end time;

[0211] Obtain all usage periods within the collection set to form a usage period set;

[0212] Obtain the usage duration corresponding to each element in the usage period set;

[0213] Calculate the average usage duration, average usage duration = sum of the usage durations of each element in the usage period set ÷ number of elements in the usage period set;

[0214] Extract the usage period with the device start time = current time and define it as the reference usage period;

[0215] If there is a reference usage period, then calculate the predetermined end time of the analysis device, predetermined end time = current time + average usage duration;

[0216] Then the period between the current time and the predetermined end time is recognized as the predetermined usage period;

[0217] If there is no reference period, then extract the usage period containing the current time and define it as the determination period;

[0218] If there is a determination period, extract the equipment shutdown time for each determination period;

[0219] Calculate the interruption duration for each determination period, where the interruption duration = equipment shutdown time - current time;

[0220] Obtain the number of determination periods, which is defined as the determination quantity;

[0221] Calculate the average interruption duration, where the average interruption duration = sum of the interruption durations for each determination period ÷ determination quantity;

[0222] Calculate the scheduled termination time of the analysis equipment, where the scheduled termination time = current time + average interruption duration;

[0223] Then, the period between the current time and the scheduled termination time is recognized as the scheduled usage period;

[0224] If there is no determination period, it is determined that the scheduled usage period of the analysis equipment does not exist.

[0225] This embodiment further provides that the obtaining of the current usage period of the target equipment is specifically as follows:

[0226] Obtain the collection set and all analysis sub-periods;

[0227] Obtain the equipment startup time and equipment stop time of the target equipment in each analysis sub-period;

[0228] Then, with the equipment startup time as the start time and the equipment stop time as the end time, form the equipment usage period;

[0229] Obtain all the equipment usage periods within the collection set to form the equipment usage set;

[0230] Obtain the usage duration corresponding to each element in the equipment usage set;

[0231] Calculate the first average duration, where the first average duration = sum of the usage durations of each element in the equipment usage set ÷ number of elements in the equipment usage set;

[0232] Extract the equipment usage period with the equipment startup time = current time, which is defined as the equipment reference period;

[0233] If there is an equipment reference period, calculate the current end time of the target equipment, where the current end time = current time + first average duration;

[0234] Then, the period between the current time and the current end time is recognized as the current usage period;

[0235] If there is no equipment reference period, extract the equipment usage period containing the current time, which is defined as the equipment determination period;

[0236] If there is a device determination period, extract the device stop time for each device determination period;

[0237] Calculate the device interruption duration for each device determination period, where the device interruption duration = device stop time - current time;

[0238] Obtain the number of device determination periods, which is defined as the device determination quantity;

[0239] Calculate the second average duration, where the second average duration = sum of the device interruption durations for each device determination period ÷ device determination quantity;

[0240] Calculate the current stop time of the target device, where the current stop time = current time + second average duration;

[0241] Then, the period between the current time and the current stop time is recognized as the current usage period;

[0242] If there is no device determination period, no determination is formed.

[0243] This embodiment also provides that the shutdown analysis strategy is specifically as follows:

[0244] Obtain the historical selection data of the target user;

[0245] If the target user has historical selection data, extract the historical selection set;

[0246] Extract the deactivated devices corresponding to each element in the historical selection set;

[0247] Obtain the number of each deactivated device in the historical selection set, which is defined as the deactivation times;

[0248] Extract the deactivated device corresponding to the maximum deactivation times, and recognize it as the shutdown operation device, and execute the power consumption adjustment strategy;

[0249] If the target user has no historical selection data, prompt the target user that the current number of high-power devices is too large, and push the device shutdown selection interface, where the device shutdown selection interface is an interface for displaying and controlling all high-power devices on the power supply line;

[0250] Obtain the devices selected by the target user to shut down and operate, and recognize them as the shutdown operation devices, and execute the power consumption adjustment strategy;

[0251] Store the devices selected by the target user to shut down and operate this time in the database, and update the historical selection data.

[0252] Among them, the obtaining of the historical selection data of the target user is specifically as follows:

[0253] Obtain the analysis period;

[0254] Obtain all the device shutdown selection interfaces received by the target user during the analysis period, and define them as the received selection interfaces;

[0255] Obtain all the received selection interfaces to form a historical reception set;

[0256] Extract the devices to be stopped that the target user has selected for each received selection interface in the historical reception set, and define them as the shutdown devices;

[0257] Correspond each shutdown device with each element of the historical reception set one by one to form a historical selection set.

[0258] Example 4: This example is an improvement based on Example 3. In this example, obtain the selected shutdown devices or shutdown operating devices, and identify them as the target shutdown devices;

[0259] Control the target shutdown devices to stop operating;

[0260] Obtain the current refrigeration value and the set refrigeration value of the target device;

[0261] If the current refrigeration value ≥ the set refrigeration value × (1 - 8%) and the current refrigeration value ≤ the set refrigeration value × (1 + 8%), then determine that the target device is operating normally and do not perform adjustment;

[0262] If the current refrigeration value > the set refrigeration value × (1 + 8%) or the current refrigeration value < the set refrigeration value × (1 - 8%), then determine that the target device is operating abnormally, and prompt the user to repair the target device.

[0263] In this example, according to the refrigeration degree of the air-conditioning chiller, it is judged whether the device is operating normally. According to the position where the air-conditioning chiller is connected to the power supply line and the conditions of other electrical equipment on this power supply line, it is judged whether the power supply and circuit of the air-conditioning chiller are abnormal, and it is judged whether it is because the user uses too many high-power devices at the same time that causes the air-conditioning chiller to fail to operate normally. According to the user's historical usage habits of each high-power device, and the user's shutdown selection habits when too many high-power devices are used, it is judged and determined which devices can be shut down, the reason for the abnormal operation of the air-conditioning chiller is determined in time, and the devices that do not need to be used are shut down, avoiding waste of electric energy and damage to the devices, reducing the number of device repairs, shortening the device repair time, and reducing the inconvenience to the user's life.

Claims

1. A highly efficient and energy-saving air-conditioning refrigeration machine dynamic control method, characterized in that: include: Get the current cooling value of the target device and set it as the current cooling value; Get the set cooling value of the target device; If the current cooling value ≥ the set cooling value × (1-8%) and the current cooling value ≤ the set cooling value × (1+8%), the target device is judged to be working normally and no adjustment is performed; If the current cooling value is greater than the set cooling value × (1+8%) or the current cooling value is less than the set cooling value × (1-8%), it is determined that the target device is working abnormally, and the power supply data of the target device is obtained; According to the power data of the target device, power analysis data is formed through power analysis strategy; The power supply analysis data includes normal power supply and abnormal power supply; If the power analysis data shows that the power supply is normal, the user is prompted to repair the target device; If the power analysis data indicates that the power supply is abnormal, the power consumption data of the target user is obtained; According to the target user's electricity consumption data, electricity consumption analysis data is generated through electricity consumption analysis strategy; According to the power consumption analysis data, power consumption adjustment data is formed through power consumption adjustment strategy; According to the power adjustment data, the user's indoor power equipment is adjusted to shift the power consumption, and the current cooling value of the target equipment is obtained again; If the target device is judged to be working properly, no adjustment is performed; If it is determined that the target device is working abnormally, the user is prompted to repair the target device.

2. The high-efficiency and energy-saving air-conditioning refrigeration machine dynamic control method according to claim 1 is characterized in that: The power supply analysis strategy is specifically: Obtain the power interface position of the target device connected to the power supply line and define it as the device interface position; Get all the connected devices on the power supply line and define them as analysis devices; Get the number of analytical devices and set it as the number of analyses; Set a limit quantity; If the analysis quantity is less than or equal to the limit quantity, the power supply data of the target device is obtained and defined as the power consumption data; Obtain the power data of each analyzed device and define it as the analyzed power consumption data; Extract the analysis equipment corresponding to the analysis power consumption data identical to the power consumption data and define them as the same equipment; If there are identical devices, the power-on data of each identical device is obtained and set as the reference power-on data; Obtain the power-on data of the target device and set it as the current power-on data; Extract the same device whose reference power-on data is ≠ the current power-on data and define it as the reference device; If the reference device exists, the target device is judged to be working abnormally, and the user is prompted to repair the target device; If the reference device does not exist, the power supply line is determined to be abnormal, and the user is prompted to inspect the power supply line; If the same device does not exist, the power supply data of the power supply line is obtained and determined as the power supply data; If the power consumption data = the power supply data, the target device is judged to be working abnormally, and the user is prompted to repair the target device; If the power consumption data is ≠ the power supply data, it is determined that the target device has abnormal power usage, and the user is prompted to inspect the target device and replace the appropriate device interface position; If the analysis quantity > the limit quantity, the error analysis strategy is executed.

3. The high-efficiency and energy-saving air-conditioning refrigeration machine dynamic control method according to claim 2 is characterized in that: The error analysis strategy is specifically as follows: Obtain electricity consumption data and power supply data; Get the device interface location of the target device; Acquire all analytical equipment; Extract the power interface position of each analytical device connected to the power supply line and define it as the analysis position; Obtain the power source position of the power supply line and define it as the power supply position; Obtain the distance between the device interface location and the power supply location, and define it as the first device distance; Obtain the distance between each analysis position and the power supply position, and define it as the second device distance; Integrate the first device distance and all second device distances to form a device distance set; Sort all elements in the device distance set from small to large according to their values; Extract the first element in the device distance set and set it as the closest element; Extract the last element in the device distance set and set it as the farthest element; Extract the distances corresponding to the nearest element and the farthest element, and define them as the nearest distance and the farthest distance; If the farthest distance - the shortest distance ≤ the shortest distance ÷ 3, it is determined that the power supply error is large; Obtain current data of power supply lines; Obtain resistance data of the first device distance; Calculate the power consumption data of the target device, power consumption data = power supply data - (current data × resistance data); If the power consumption data ≤ the power supply data × 95%, the power analysis data is judged to be abnormal; If the power consumption data>power supply data×95%, the power supply analysis data is judged to be normal; If the farthest distance - the shortest distance > the shortest distance ÷ 3, it is determined that the power supply error is small, and the power consumption data = the power supply data; The power analysis data is then determined to be normal.

4. The high-efficiency and energy-saving air-conditioning refrigeration machine dynamic control method according to claim 1 is characterized in that: The power consumption analysis strategy is specifically as follows: Acquire all analytical equipment; Get historical usage data for each analyzed device; extracting the scheduled usage period for each analytical device; Get the current usage period of the target device; The analysis equipment whose scheduled usage period equals the current usage period is defined as non-stop equipment; The analysis equipment whose scheduled use period is ≠ the current use period is defined as the equipment that can be stopped; The number of non-stop equipment and the number of stoppable equipment are obtained respectively, and are defined as the non-stop number and the stoppable number; If the non-stop quantity = non-stop quantity + available stop quantity, the shutdown analysis strategy is executed; If the number of non-stop devices is less than the number of non-stop devices + the number of devices that can be stopped, then one device that can be stopped is randomly selected and identified as the device selected for shutdown, and the power adjustment strategy is executed.

5. The high-efficiency and energy-saving air-conditioning refrigeration machine dynamic control method according to claim 4 is characterized in that: The acquisition of historical usage data of each analysis device is specifically as follows: Get the current time; Set the analysis duration; Calculate the analysis time, analysis time = current time - analysis duration; The analysis period is formed by taking the analysis time as the start time and the current time as the end time; Set the interval period; Taking the analysis time as the starting time, a collection time is formed every interval period; Obtain the analysis time and all collection times within the analysis period to form a collection set; Then an analysis sub-period is formed between every two adjacent elements in the collection set; Obtain the device start time and device shutdown time of the analysis device in each analysis sub-period; The use period is formed by taking the time when the equipment is turned on as the start time and the time when the equipment is turned off as the end time; Obtain all usage time periods in the collection set to form a usage time period set; Get the usage duration corresponding to each element in the usage period collection; Calculate the average usage time, which is the sum of the usage time of each element in the usage period set / the number of elements in the usage period set; Extract the usage period of the device start time = the current time, and set it as the reference usage period; If there is a reference usage period, the scheduled end time of the analysis device is calculated, and the scheduled end time = current time + average usage time; The period between the current time and the scheduled end time is considered as the scheduled usage period; If there is no reference period, the usage period including the current time is extracted and determined as the determination period; If there is a determination period, then extract the equipment shutdown time of each determination period; Calculate the interruption duration of each determination period, interruption duration = device shutdown time - current time; Obtain the number of determination time periods, which is defined as the determination number; Calculate the average interruption duration, which is the sum of the interruption durations in each judgment period divided by the number of judgments. Calculate and analyze the scheduled end time of the equipment, scheduled end time = current time + average interruption duration; The period between the current time and the scheduled end time is considered as the scheduled usage period; If the determination period does not exist, it is determined that the predetermined use period of the analysis device does not exist.

6. The high-efficiency and energy-saving air-conditioning refrigeration machine dynamic control method according to claim 5 is characterized in that: The obtaining of the current usage period of the target device is specifically: Get the collection set and all analysis sub-periods; Obtain the device start time and device stop time of the target device in each analysis sub-period; The equipment startup time is taken as the start time, and the equipment stop time is taken as the end time to form the equipment usage period; Obtain all device usage time periods in the collection set to form a device usage set; Get the usage time corresponding to each element in the device usage collection; Calculate the first average duration, where the first average duration = the sum of the usage duration of each element in the device usage set / the number of elements in the device usage set; Extract the device startup time = the device usage period of the current time and set it as the device reference period; If there is a device reference time period, calculate the current end time of the target device, current end time = current time + first average duration; The period between the current time and the current end time is considered as the current usage period; If there is no device reference period, extract the device usage period including the current time and set it as the device determination period; If there is a device determination period, extract the device stop time of each device determination period; Calculate the device interruption duration of each device determination period, where device interruption duration = device stop time - current time; Obtain the number of device determination time periods, which is defined as the device determination number; Calculate the second average duration, the second average duration = the sum of the device interruption durations in each device determination period / the number of device determinations; Calculate the current stop time of the target device, current stop time = current time + second average duration; The period between the current time and the current stop time is considered as the current usage period; If there is no device determination period, no determination is made.

7. The high-efficiency and energy-saving air-conditioning refrigeration machine dynamic control method according to claim 4 is characterized in that: The shutdown analysis strategy is specifically: Obtain historical selection data of target users; If the target user has historical selection data, extract the historical selection set; Extract the outage equipment corresponding to each element in the historical selection set; Get the number of each outage device in the historical selection set and define it as the outage number; Extract the outage equipment corresponding to the largest outage number, identify it as the shut-down equipment, and implement the power adjustment strategy; If the target user does not have historical selection data, the target user is prompted that there are too many high-power devices at present, and the device shutdown selection interface is pushed; Obtain the equipment that the target user chooses to shut down, identify it as the shut down equipment, and implement the power adjustment strategy; The devices selected to be shut down by the target user are stored in the database, and the historical selection data is updated.

8. The high-efficiency and energy-saving air-conditioning refrigeration machine dynamic control method according to claim 7 is characterized in that: The acquisition of the historical selection data of the target user is specifically as follows: Get the analysis period; Obtain all device shutdown selection interfaces received by the target user during the analysis period, and define them as the received selection interface; Get all the receiving selection interfaces to form a historical receiving collection; Extract the stopped equipment selected by the target user on each receiving selection interface in the historical receiving set and define it as the stopped equipment; All outage equipment is matched one by one with each element of the historical receiving set to form a historical selection set.

9. The high-efficiency and energy-saving air-conditioning refrigeration machine dynamic control method according to claim 1, characterized in that: The power consumption adjustment strategy is specifically as follows: Obtain the selected shutdown equipment or shut down the running equipment and identify it as the target shutdown equipment; Control the target to shut down the equipment and stop it from running; Get the current cooling value and set cooling value of the target device; If the current cooling value ≥ the set cooling value × (1-8%) and the current cooling value ≤ the set cooling value × (1+8%), the target device is judged to be working normally and no adjustment is performed; If the current cooling value is greater than the set cooling value × (1+8%) or the current cooling value is less than the set cooling value × (1-8%), it is determined that the target device is working abnormally, and the user is prompted to repair the target device.

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