Efficient and energy-saving air conditioner refrigerating machine dynamic control method

Abstract

The invention relates to the technical field of air conditioner dynamic control, and discloses an efficient and energy-saving air conditioner refrigerator dynamic control method which comprises the following steps: acquiring a current refrigeration value of target equipment, judging whether the target equipment works normally or not, forming power supply analysis data, forming power utilization analysis data, forming power utilization adjustment data, and performing off-peak power utilization adjustment on a user. According to the efficient and energy-saving air conditioner refrigerating machine dynamic control method, whether equipment works normally or not is judged, whether a power source and a circuit of the air conditioner refrigerating machine are abnormal or not is judged, whether the air conditioner refrigerating machine cannot operate normally or not due to the fact that a user uses too many high-power equipment at the same time is judged, and according to historical use habits and shutdown selection habits of the user, energy is saved. According to the method, the equipment which can be shut down is determined, reasons for abnormal working of the air conditioner refrigerating machine are determined in time, and the equipment which does not need to be used is shut down, so that electric energy waste and equipment damage are avoided, equipment overhauling times are reduced, equipment overhauling time is shortened, and inconvenience to life of users is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of air-conditioning dynamic control, and in particular to a high-efficiency and energy-saving air-conditioning refrigerator dynamic control method. Background Art

[0002] With the continuous growth of global energy demand and the increasingly serious environmental problems, energy conservation and emission reduction have become important issues in all walks of life. As one of the most energy-consuming devices in modern buildings, the energy efficiency optimization of air-conditioning systems is particularly critical. Traditional air-conditioning refrigeration machine control methods are mostly 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, the high-efficiency and energy-saving dynamic control method of air-conditioning refrigeration machines can significantly improve the energy efficiency of the system and reduce energy consumption by introducing advanced control technology and energy efficiency optimization methods. This method is not only suitable for household air-conditioning systems, but also widely used in commercial and industrial air-conditioning systems, with important economic and environmental benefits. With the continuous advancement of technology, dynamic control methods will play an increasingly important role in future air-conditioning systems;

[0003] The existing high-efficiency and energy-saving dynamic control method for air-conditioning and refrigeration machines cannot judge whether the equipment is working normally according to the cooling degree of the air-conditioning and refrigeration machine, cannot judge whether the power supply and circuit of the air-conditioning and refrigeration machine are abnormal according to the location where the air-conditioning and refrigeration machine is connected to the power supply line and the conditions of other electrical equipment on the power supply line, and cannot judge whether the air-conditioning and refrigeration machine cannot operate normally due to the user's simultaneous use of too many high-power devices. It cannot judge and determine the equipment that can be shut down according to the user's historical usage habits of each high-power device and the user's equipment shutdown selection habits when the high-power device is used too much. It cannot promptly determine the cause of the abnormal operation of the air-conditioning and refrigeration machine and shut down the equipment that is not needed, which easily causes waste of electricity and damage to the equipment, thereby causing inconvenience to the user's life. Its practicality has certain limitations. Summary of the invention

[0004] The present invention provides a high-efficiency and energy-saving dynamic control method for an air-conditioning refrigerator, which is used to promote solving the problems mentioned in the background technology.

[0005] The present invention provides the following technical solution: a highly efficient and energy-saving air-conditioning refrigeration machine dynamic control method, comprising:

[0006] Get the current cooling value of the target device and set it as the current cooling value;

[0007] Get the set cooling value of the target device;

[0008] 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;

[0009] 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;

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

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

[0012] If the power analysis data shows that the power supply is normal, the user is prompted to repair the target device;

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

[0014] According to the target user's electricity consumption data, electricity consumption analysis data is generated through electricity consumption analysis strategy;

[0015] According to the power consumption analysis data, power consumption adjustment data is formed through power consumption adjustment strategy;

[0016] 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;

[0017] If the target device is judged to be working properly, no adjustment is performed;

[0018] If it is determined that the target device is working abnormally, the user is prompted to repair the target device.

[0019] As an optional solution of the high-efficiency and energy-saving air-conditioning refrigeration machine dynamic control method of the present invention, the power supply analysis strategy is specifically:

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

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

[0022] Get the number of analytical devices and set it as the number of analyses;

[0023] Set a limit quantity;

[0024] 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;

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

[0026] Extract the analysis equipment corresponding to the analysis power consumption data identical to the power consumption data and define them as the same equipment;

[0027] If there are identical devices, the power-on data of each identical device is obtained and set as the reference power-on data;

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

[0029] Extract the same device whose reference power-on data is ≠ the current power-on data and define it as the reference device;

[0030] If the reference device exists, the target device is judged to be working abnormally, and the user is prompted to repair the target device;

[0031] 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;

[0032] 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;

[0033] 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;

[0034] 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;

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

[0036] As an optional solution of the high-efficiency and energy-saving air-conditioning refrigeration machine dynamic control method of the present invention, the error analysis strategy is specifically:

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

[0038] Get the device interface location of the target device;

[0039] Acquire all analytical equipment;

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

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

[0042] Obtain the distance between the device interface location and the power supply location, 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 second device distances to form a device distance set;

[0045] Sort all elements in the device distance set from small to large according to their values;

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

[0047] Extract the last element in the device distance set and set 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 shortest distance ≤ the shortest distance ÷ 3, it is determined that the power supply error is large;

[0050] Obtain current data of power supply lines;

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

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

[0053] If the power consumption data ≤ the power supply data × 95%, the power analysis data is judged to be abnormal;

[0054] If the power consumption data>power supply data×95%, the power supply analysis data is judged to be normal;

[0055] 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;

[0056] The power analysis data is then determined to be normal.

[0057] As an optional solution of the high-efficiency and energy-saving air-conditioning refrigeration machine dynamic control method of the present invention, the power consumption analysis strategy is specifically:

[0058] Acquire all analytical equipment;

[0059] Get historical usage data for each analyzed device;

[0060] extracting the scheduled usage period for each analytical device;

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

[0062] The analysis equipment whose scheduled usage period equals the current usage period is defined as non-stop equipment;

[0063] The analysis equipment whose scheduled use period is ≠ the current use period is defined as the equipment that can be stopped;

[0064] 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;

[0065] If the non-stop quantity = non-stop quantity + available stop quantity, the shutdown analysis strategy is executed;

[0066] 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.

[0067] As an optional solution of the high-efficiency and energy-saving air-conditioning refrigeration machine dynamic control method of the present invention, the acquisition of historical usage data of each analysis device is specifically:

[0068] Get the current time;

[0069] Set the analysis duration;

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

[0071] The analysis period is formed by taking the analysis time as the start time and the current time as the end time;

[0072] Set the interval period;

[0073] Taking the analysis time as the starting time, a collection time is formed 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] 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;

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

[0079] Get the usage duration corresponding to each element in the usage period collection;

[0080] 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;

[0081] Extract the usage period of the device start time = the current time, and set it as the reference usage period;

[0082] 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;

[0083] The period between the current time and the scheduled end time is considered as the scheduled usage period;

[0084] If there is no reference period, the usage period including the current time is extracted and determined as the determination period;

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

[0086] Calculate the interruption duration of each determination period, interruption duration = device shutdown time - current time;

[0087] Obtain the number of determination time periods, which is defined as the determination number;

[0088] Calculate the average interruption duration, which is the sum of the interruption durations in each judgment period divided by the number of judgments.

[0089] Calculate and analyze the scheduled end time of the equipment, scheduled end time = current time + average interruption duration;

[0090] The period between the current time and the scheduled end time is considered as the scheduled usage period;

[0091] If the determination period does not exist, it is determined that the predetermined use period of the analysis device does not exist.

[0092] As an optional solution of the high-efficiency and energy-saving air-conditioning refrigeration machine dynamic control method of the present invention, wherein: the current usage period of the target device is obtained as follows:

[0093] Get the collection set and all analysis sub-periods;

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

[0095] 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;

[0096] Obtain all device usage time periods in the collection set to form a device usage set;

[0097] Get the usage time corresponding to each element in the device usage collection;

[0098] 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;

[0099] Extract the device startup time = the device usage period of the current time and set it as the device reference period;

[0100] 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;

[0101] The period between the current time and the current end time is considered as the current usage period;

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

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

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

[0105] Obtain the number of device determination time periods, which is defined as the device determination number;

[0106] 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;

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

[0108] The period between the current time and the current stop time is considered as the current usage period;

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

[0110] As an optional solution of the high-efficiency and energy-saving air-conditioning refrigeration machine dynamic control method of the present invention, the shutdown analysis strategy is specifically:

[0111] Obtain historical selection data of target users;

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

[0113] Extract the outage equipment corresponding to each element in the historical selection set;

[0114] Get the number of each outage device in the historical selection set and define it as the outage number;

[0115] Extract the outage equipment corresponding to the largest outage number, identify it as the shut-down equipment, and implement the power adjustment strategy;

[0116] 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;

[0117] Obtain the equipment that the target user chooses to shut down, identify it as the shut down equipment, and implement the power adjustment strategy;

[0118] The devices selected to be shut down by the target user are stored in the database, and the historical selection data is updated.

[0119] As an optional solution of the high-efficiency and energy-saving air-conditioning refrigeration machine dynamic control method of the present invention, the acquisition of the historical selection data of the target user is specifically:

[0120] Get the analysis period;

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

[0122] Get all the receiving selection interfaces to form a historical receiving collection;

[0123] 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;

[0124] All outage equipment is matched one-to-one with each element of the historical receiving set to form a historical selection set.

[0125] As an optional solution of the high-efficiency and energy-saving air-conditioning refrigeration machine dynamic control method of the present invention, the power adjustment strategy is specifically as follows:

[0126] Obtain the selected shutdown equipment or shut down the running equipment and identify it as the target shutdown equipment;

[0127] Control the target to shut down the equipment and stop it from running;

[0128] Get the current cooling value and 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%), the target device is judged to be working normally and no adjustment is performed;

[0130] 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.

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

[0132] 1. The high-efficiency and energy-saving dynamic control method for air-conditioning and refrigeration machines determines whether the equipment is working normally by obtaining the current cooling value and the set cooling value of the target equipment. If the equipment is working abnormally, the location where the air-conditioning and refrigeration machine is connected to the power supply line and the power consumption of other electrical equipment on the power supply line are obtained to determine whether there are many high-power equipment connected to the power supply line, obtain the working conditions of high-power equipment with the same rated voltage as the air-conditioning and refrigeration machine, and obtain the distance between the power interface of each high-power equipment including the air-conditioning and refrigeration machine and the power supply of the power supply line, determine whether the power supply and circuit of the air-conditioning and refrigeration machine are abnormal, and determine whether the power supply line is too long, causing the voltage of the power supply to have an error with the actual voltage used, thereby causing the air-conditioning and refrigeration machine to use an unmatched power supply for a long time and finally causing the air-conditioning and refrigeration machine to work abnormally, and promptly determine the cause of the abnormal operation of the air-conditioning and refrigeration machine to avoid more serious damage to the equipment, reduce the number of equipment maintenance, shorten the equipment maintenance time, and reduce the inconvenience caused to users.

[0133] 2. The efficient and energy-saving dynamic control method of the air-conditioning refrigerator determines whether there are many high-power devices connected to the power supply line by obtaining the location where the air-conditioning refrigerator is connected to the power supply line and the power consumption of other electrical equipment on the power supply line, so as to determine whether the air-conditioning refrigerator cannot operate normally due to the user using too many high-power devices at the same time, promptly determine the cause of the abnormal operation of the air-conditioning refrigerator, and shut down the equipment that is not needed to avoid energy waste and equipment damage, reduce the number of equipment maintenance, shorten the equipment maintenance time, and reduce the inconvenience caused to users.

[0134] 3. The high-efficiency and energy-saving dynamic control method of the air-conditioning refrigeration machine determines and determines the equipment that can be shut down by obtaining the user's historical usage habits for each high-power device, as well as the user's habits of shutting down the equipment when the high-power equipment is used too much, and promptly determines the cause of the abnormal operation of the air-conditioning refrigeration machine, and shuts down the equipment that is not needed, thereby avoiding energy waste and equipment damage, reducing the number of equipment maintenance, shortening the equipment maintenance time, and reducing the inconvenience caused to the user's life. BRIEF DESCRIPTION OF THE DRAWINGS

[0135] Figure 1 This is a flow chart of the high-efficiency and energy-saving dynamic control method for an air-conditioning refrigerator of the present invention. DETAILED DESCRIPTION

[0136] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0137] Embodiment 1, a highly efficient and energy-saving air conditioning refrigeration machine dynamic control method, see Figure 1 ,include:

[0138] Obtaining a current cooling value of the target device, which is defined as the current cooling value, wherein the cooling value is the cold air temperature output by the air conditioner when the air conditioner is cooling;

[0139] Obtaining a set cooling value of the target device, wherein the set cooling value is the cold air temperature that the air conditioner needs to output set by the user;

[0140] 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;

[0141] 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;

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

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

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

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

[0146] According to the target user's electricity consumption data, electricity consumption analysis data is generated through electricity consumption analysis strategy;

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

[0148] 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;

[0149] If the target device is judged to be working properly, no adjustment is performed;

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

[0151] Through the above method, it is judged whether the equipment is working normally according to the cooling degree of the air-conditioning refrigerator, whether the power supply and circuit of the air-conditioning refrigerator are abnormal according to the location where the air-conditioning refrigerator is connected to the power supply line and the conditions of other electrical equipment on the power supply line, and whether the air-conditioning refrigerator cannot operate normally due to the user using too many high-power equipment at the same time. According to the user's historical usage habits of each high-power equipment and the user's habit of shutting down the equipment when the high-power equipment is used too much, the equipment that can be shut down is judged and determined, the cause of the abnormal operation of the air-conditioning refrigerator is determined in time, and the equipment that is not needed is shut down to avoid waste of electricity and damage to equipment, reduce the number of equipment maintenance, shorten the equipment maintenance time, and reduce the inconvenience caused to users.

[0152] Embodiment 2: This embodiment is an improvement made on the basis of embodiment 1. The energy-efficient air-conditioning refrigeration machine dynamic control method and the power supply analysis strategy are specifically:

[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 connected devices on the power supply line and define them as 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 target devices.

[0155] Get the number of analytical devices and set it as the number of analyses;

[0156] Setting a limit number, where the limit number is the maximum number of high-power devices that can be used simultaneously, such as 3;

[0157] If the analysis quantity is less than or equal to the limit quantity, the power supply data of the target device is obtained and determined as the power consumption data, where the power supply data is the rated voltage of the device;

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

[0159] Extract the analysis equipment corresponding to the analysis power consumption data identical to the power consumption data and define them as the same equipment;

[0160] If there are identical devices, the power-on data of each identical device is obtained and set as reference power-on data, where the power-on data indicates 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 set it as the current power-on data;

[0162] Extract the same device whose reference power-on data is ≠ the current power-on data and define it as the reference device;

[0163] If the reference device exists, the target device is judged to be working abnormally, and the user is prompted to repair the target device;

[0164] 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;

[0165] 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;

[0166] 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;

[0167] 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 repair the target device and replace the appropriate device interface position. That is, the target device may not work properly due to long-term use of a power supply that does not match its rated voltage. The device needs to be repaired and replaced with a power supply that matches the rated voltage of the device;

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

[0169] The error analysis strategy is specifically as follows:

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

[0171] Get the device interface location of the target device;

[0172] Acquire all analytical equipment;

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

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

[0175] Obtain the distance between the device interface location and the power supply location, 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 second device distances to form a device distance set;

[0178] Sort all elements in the device distance set from small to large according to their values;

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

[0180] Extract the last element in the device distance set and set 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 shortest distance ≤ the shortest distance ÷ 3, it is determined that the power supply error is large;

[0183] Acquire current data of the power supply line, wherein the current data is a current value on the power supply line;

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

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

[0186] If the power consumption data ≤ the power supply data × 95%, the power analysis data is judged to be abnormal;

[0187] If the power consumption data>power supply data×95%, the power supply analysis data is judged to be normal;

[0188] 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;

[0189] The power analysis data is then determined to be normal.

[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] Acquire all analytical equipment;

[0192] Get historical usage data for each analyzed device;

[0193] extracting the scheduled usage period for each analytical device;

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

[0195] The analysis equipment whose scheduled usage period equals the current usage period is defined as non-stop equipment;

[0196] The analysis equipment whose scheduled use period is ≠ the current use period is defined as the equipment that can be stopped;

[0197] 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;

[0198] If the non-stop quantity = non-stop quantity + available stop quantity, the shutdown analysis strategy is executed;

[0199] 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.

[0200] The acquisition of historical usage data of each analysis device is specifically as follows:

[0201] Get the current time;

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

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

[0204] The analysis period is formed by taking the analysis time as the start time and the current time as the end time;

[0205] Setting an interval period, wherein the interval period is 24 hours;

[0206] Taking the analysis time as the starting time, a collection time is formed every interval period;

[0207] Acquire the analysis time and all collection times within the analysis period to form a collection set, wherein 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] 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;

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

[0212] Get the usage duration corresponding to each element in the usage period collection;

[0213] 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;

[0214] Extract the usage period of the device start time = the current time, and set it as the reference usage period;

[0215] 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;

[0216] The period between the current time and the scheduled end time is considered as the scheduled usage period;

[0217] If there is no reference period, the usage period including the current time is extracted and determined as the determination period;

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

[0219] Calculate the interruption duration of each determination period, interruption duration = device shutdown time - current time;

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

[0221] Calculate the average interruption duration, which is the sum of the interruption durations in each judgment period divided by the number of judgments.

[0222] Calculate and analyze the scheduled end time of the equipment, scheduled end time = current time + average interruption duration;

[0223] The period between the current time and the scheduled end time is considered as the scheduled usage period;

[0224] If the determination period does not exist, it is determined that the predetermined use period of the analysis device does not exist.

[0225] This embodiment also provides that the obtaining of the current usage period of the target device is specifically:

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

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

[0228] 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;

[0229] Obtain all device usage time periods in the collection set to form a device usage set;

[0230] Get the usage time corresponding to each element in the device usage collection;

[0231] 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;

[0232] Extract the device startup time = the device usage period of the current time and set it as the device reference period;

[0233] 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;

[0234] The period between the current time and the current end time is considered as the current usage period;

[0235] If there is no device reference period, extract the device usage period including the current time and set it as the device determination period;

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

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

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

[0239] 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;

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

[0241] The period between the current time and the current stop time is considered as the current usage period;

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

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

[0244] Obtain historical selection data of target users;

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

[0246] Extract the outage equipment corresponding to each element in the historical selection set;

[0247] Get the number of each outage device in the historical selection set and define it as the outage number;

[0248] Extract the outage equipment corresponding to the largest outage number, identify it as the shut-down equipment, and implement the power adjustment strategy;

[0249] 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 a device shutdown selection interface is pushed, 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 equipment that the target user chooses to shut down, identify it as the shut down equipment, and implement the power adjustment strategy;

[0251] The devices selected to be shut down by the target user are stored in the database, and the historical selection data is updated.

[0252] The step of obtaining the historical selection data of the target user is as follows:

[0253] Get the analysis period;

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

[0255] Get all the receiving selection interfaces to form a historical receiving collection;

[0256] 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;

[0257] All outage equipment is matched one-to-one with each element of the historical receiving set to form a historical selection set.

[0258] Embodiment 4: This embodiment is an improvement made on the basis of Embodiment 3. In this embodiment, a shutdown device or a shutdown running device is obtained and identified as a target shutdown device;

[0259] Control the target to shut down the equipment and stop it from running;

[0260] Get the current cooling value and set cooling value of the target device;

[0261] 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;

[0262] 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.

[0263] In this embodiment, whether the air-conditioning refrigerator is working normally is judged according to the cooling degree of the equipment, whether the power supply and circuit of the air-conditioning refrigerator are abnormal according to the location where the air-conditioning refrigerator is connected to the power supply line and the conditions of other electrical equipment on the power supply line, and whether the air-conditioning refrigerator cannot operate normally due to the user using too many high-power equipment at the same time. According to the user's historical usage habits of each high-power equipment and the user's habit of shutting down the equipment when the high-power equipment is used too much, the equipment that can be shut down is judged and determined, the cause of the abnormal operation of the air-conditioning refrigerator is determined in time, and the equipment that is not needed is shut down, so as to avoid waste of electricity and damage to equipment, reduce the number of equipment maintenance, shorten the equipment maintenance time, and reduce the inconvenience caused 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-to-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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