Central air conditioner energy-saving control system based on Internet of Things

Abstract

The invention belongs to the technical field of central air conditioner management and control, and particularly relates to a central air conditioner energy-saving control system based on the Internet of Things, which comprises a composition equipment optimization alarm module, an air outlet monitoring evaluation module, an air outlet management and control analysis module, a central energy-saving control module and a user terminal, the optimization emergencies of all the component equipment in the central air conditioner are analyzed through the component equipment optimization alarm module so as to determine the urgent optimization equipment, the urgent optimization equipment is checked, maintained or replaced in time, and the air outlet deviation of the central air conditioner is accurately evaluated and analyzed through the air outlet monitoring and evaluating module; and when it is judged that the central air conditioner is in the air outlet high deviation state, adaptive adjustment is conducted on the central air conditioner, automatic adjustment performance of the central air conditioner in the monitoring period is analyzed through an air outlet management and control analysis module, reason investigation and analysis are conducted when an automatic control abnormal signal is generated, and corresponding improvement measures are taken. And the energy-saving effect and the intelligent level of the central air conditioner are obviously improved.

Description

Technical Field

[0001] The present invention relates to the technical field of central air-conditioning control and management, and in particular to a central air-conditioning energy-saving control system based on the Internet of Things. Background Art

[0002] Central air conditioning is an air conditioning system that integrates cooling, heating and ventilation. It delivers processed air to the corresponding indoor space through a set of centralized equipment distributed throughout the building's pipeline system, thereby achieving overall environmental regulation and providing users with a more comfortable indoor environment.

[0003] At present, central air conditioners often operate according to the requirements set by users. It is difficult to reasonably analyze the deviation of air flow and automatically adjust it adaptively. It is also impossible to accurately evaluate the performance of air flow control and the operating performance of each component of the central air conditioner and issue early warnings in a timely manner, which is not conducive to improving the energy-saving effect and intelligent level of central air conditioners.

[0004] In view of the above technical defects, a solution is now proposed. Summary of the invention

[0005] The purpose of the present invention is to provide a central air-conditioning energy-saving control system based on the Internet of Things, which solves the problem that the prior art is difficult to reasonably analyze the air outlet deviation status of the central air-conditioning and automatically adaptively adjust it, and is unable to accurately evaluate the air outlet control performance and the operating performance of each component of the central air-conditioning and provide timely warnings, which is not conducive to improving energy-saving effects and intelligence levels.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] The central air-conditioning energy-saving control system based on the Internet of Things includes a component equipment optimization alarm module, an air outlet monitoring and evaluation module, an air outlet control and analysis module, a central energy-saving control module and a user terminal;

[0008] The component equipment optimization alarm module obtains all the component equipment that needs to be optimized and monitored in the central air conditioner, analyzes the optimization urgency of each component equipment during the detection period, determines the urgent optimization equipment through analysis, and sends the urgent optimization equipment to the user terminal. When the user terminal receives the urgent optimization equipment, it issues a corresponding warning;

[0009] The air outlet monitoring and evaluation module monitors the air outlet of the central air conditioner, and determines whether the air outlet is in a high deviation state through air outlet deviation evaluation and analysis, and sends the judgment information to the central energy-saving control module and the air outlet control and analysis module. When the central energy-saving control module receives the judgment information of the high deviation state of the air outlet, it will adaptively adjust the central air conditioner;

[0010] The air outlet control analysis module is used to set the monitoring period and analyze the automatic adjustment performance of the central air conditioner during the monitoring period. The analysis generates an automatic control abnormality signal or an automatic control qualified signal, and the automatic control abnormality signal or the automatic control qualified signal is sent to the user terminal. When the user terminal receives the automatic control abnormality signal, a corresponding warning is issued.

[0011] Furthermore, the component equipment optimization alarm module is communicatively connected to the energy consumption abnormality identification module. During the operation of the central air-conditioning, the energy consumption abnormality identification module monitors the energy consumption of the corresponding component equipment. If the electric energy consumption data of the corresponding component equipment per unit time exceeds the corresponding preset standard electric energy consumption threshold, energy consumption abnormality alarm information of the corresponding component equipment is generated and sent to the component equipment optimization alarm module.

[0012] Furthermore, the specific analysis process of the equipment optimization alarm module is as follows:

[0013] The total working time of the corresponding component equipment during the detection period is collected and marked as the working condition value, and the total number of energy consumption abnormal alarm information generated by the corresponding component equipment during the detection period is collected and marked as the energy consumption frequency difference value, and the ratio of the energy consumption frequency difference value to the working condition value is marked as the energy consumption initial evaluation value;

[0014] The energy consumption value is obtained by calculating the ratio of the power consumption data of the corresponding component equipment in unit time to the corresponding preset standard power consumption data threshold, and the energy consumption value is obtained by calculating the average of all energy consumption values ​​of the corresponding component equipment in the detection period;

[0015] The energy consumption initial evaluation value and the energy consumption occupancy value are numerically compared with the corresponding preset energy consumption initial evaluation threshold value and the preset energy consumption occupancy threshold value respectively. If the energy consumption initial evaluation value or the energy consumption occupancy value exceeds the corresponding preset threshold value, the corresponding component equipment will be marked as an urgent optimization equipment.

[0016] Furthermore, if the initial evaluation value of energy consumption and the energy consumption occupancy value do not exceed the corresponding preset threshold values, the operating stability coefficient of the corresponding component equipment during the detection period is obtained through analysis, and the optimized detection coefficient is obtained by numerically calculating the operating stability coefficient, the initial evaluation value of energy consumption and the energy consumption occupancy value. The optimized detection coefficient is numerically compared with the corresponding preset optimized detection coefficient threshold value. If the optimized detection coefficient exceeds the corresponding preset optimized detection coefficient threshold value, the corresponding component equipment is marked as an urgent optimization equipment.

[0017] Furthermore, the analysis and acquisition method of the operational stability coefficient is as follows:

[0018] Obtain all the operating parameters that need to be monitored for the corresponding component equipment, collect the real-time parameter data of all the operating parameters, compare the real-time parameter data with the corresponding preset data requirements, and if the real-time parameter data does not meet the corresponding preset data requirements, assign the corresponding operating parameter with an exception symbol TK-1;

[0019] The total number of times the corresponding operating parameters are assigned with the abnormal judgment symbol TK-1 during the detection period is obtained and the ratio is calculated with the working condition value to obtain the abnormal judgment performance value. Each group of operating parameters is set in advance to correspond to a group of preset influence weight values, and the product of the abnormal judgment performance value of the corresponding operating parameter and the corresponding preset influence weight value is marked as the abnormal judgment detection condition value;

[0020] The abnormal judgment detection condition values ​​of all operating parameters that need to be monitored by the corresponding component equipment during the detection period are obtained, and the abnormal judgment detection condition values ​​of all operating parameters are summed up and calculated to obtain the operation stability coefficient.

[0021] Furthermore, the specific analysis process of the air outlet deviation evaluation analysis is as follows:

[0022] The real-time temperature, real-time humidity and real-time wind speed of the gas output from the air outlet are collected, and the difference between the real-time temperature and the currently set standard temperature is calculated and the absolute value is taken to obtain the outlet temperature evaluation value. Similarly, the outlet humidity evaluation value and outlet wind speed evaluation value are obtained;

[0023] The outlet air deviation table value is obtained by numerically calculating the outlet air temperature evaluation value, the outlet air humidity evaluation value and the outlet air speed evaluation value, and the outlet air deviation table value is numerically compared with the preset outlet air deviation table threshold value. If the outlet air deviation table value exceeds the preset outlet air deviation table threshold value, it is judged that the central air conditioner is in a high air deviation state.

[0024] Furthermore, the specific analysis process of the air outlet control analysis module is as follows:

[0025] When it is determined that the central air conditioner is in a high-biased air outlet state, the timing starts, and the central air conditioner gets rid of the high-biased air outlet state to obtain the self-control time; all the self-control time durations in the monitoring period are summed up to obtain the total time value of the high-biased air outlet, and the total time value of the high-biased air outlet is calculated by ratio with the total air outlet time of the central air conditioner in the monitoring period to obtain the air outlet control abnormality value;

[0026] Compare the abnormal value of the air outlet control with the preset abnormal threshold of the air outlet control, and if the abnormal value of the air outlet control exceeds the preset abnormal threshold of the air outlet control, generate an automatic control abnormal signal;

[0027] If the air outlet control abnormality value does not exceed the preset air outlet control abnormality threshold, then when it is determined that the central air conditioner is in a high air outlet deviation state, the excess value of the air outlet deviation table value compared to the preset air outlet deviation table threshold is marked as the air outlet deviation excess value, and the ratio of the air outlet deviation excess value to the corresponding self-control time is marked as the air outlet control analysis value, and the number of air outlet control analysis values ​​that do not exceed the preset air outlet control analysis threshold within the monitoring period is calculated by ratio with the total air outlet time of the central air conditioner within the monitoring period to obtain the air outlet control inferior value, and all air outlet control analysis values ​​within the monitoring period are averaged to obtain the air outlet control check value;

[0028] The air outlet control warning coefficient is obtained by numerically calculating the air outlet control abnormal condition value, the air outlet control poor value and the air outlet control check value, and the air outlet control warning coefficient is numerically compared with the preset air outlet control warning coefficient threshold. If the air outlet control warning coefficient exceeds the preset air outlet control warning coefficient threshold, an automatic control abnormal signal is generated; if the air outlet control warning coefficient does not exceed the preset air outlet control warning coefficient threshold, an automatic control qualified signal is generated.

[0029] Furthermore, the central energy-saving control module is connected to the regional monitoring and capturing module in communication. The regional monitoring and capturing module marks the indoor space where the central air conditioner is located as a capturing area, monitors the capturing area in real time through a monitoring camera, starts timing when there is no person in the capturing area to obtain the unmanned time of the area in real time, and sends the unmanned time of the area to the central energy-saving control module;

[0030] When the unmanned time in an area exceeds the preset unmanned time threshold, the central energy-saving control module generates a regional efficiency reduction signal and sends the regional efficiency reduction signal to the user terminal; if the user terminal does not make a feedback instruction within the first specified time, the central energy-saving control module reduces the operating efficiency of the central air-conditioning; if the user terminal does not make a feedback instruction within the second specified time, the central energy-saving control module suspends the operation of the central air-conditioning; wherein the second specified time>the first specified time>10min.

[0031] Furthermore, the central energy-saving control module is communicatively connected to the scheduled start judgment module. When it is necessary to schedule the start of the central air conditioner, a scheduled start instruction is sent to the central energy-saving control module through the user terminal; the scheduled start judgment module marks the interval between the scheduled start time and the current time as the scheduled interval time. When the scheduled interval time begins to be less than a preset scheduled interval time threshold, a start inquiry value is obtained through analysis, and the start inquiry value is numerically compared with the preset start inquiry threshold. If the start inquiry value exceeds the preset start inquiry threshold, a start necessity inquiry signal is generated, and the start necessity inquiry signal is sent to the user terminal via the central energy-saving control module; if the user terminal does not make a feedback instruction within the corresponding specified time, the central energy-saving control module does not start the central air conditioner at the corresponding scheduled start time.

[0032] Furthermore, the method for analyzing and obtaining the startup query value is as follows:

[0033] The real-time location of the user is collected, and the shortest path length between the real-time location and the indoor space where the central air conditioner is located is marked as the distance detection value. The real-time speed of the user is collected, and the average of all real-time speeds within the detection period is calculated to obtain the actual speed detection value. The ratio of the distance detection value to the actual speed detection value is calculated to obtain the startup inquiry value.

[0034] Compared with the prior art, the present invention has the following beneficial effects:

[0035] 1. In the present invention, the optimization urgency of each component device in the central air conditioner is analyzed through the component device optimization alarm module to determine the urgent optimization device, and the urgent optimization device is inspected, repaired or replaced in time, and the air outlet monitoring and evaluation module is used to accurately evaluate and analyze the air outlet deviation of the central air conditioner, and the central air conditioner is adaptively adjusted when it is judged to be in a high-deviation state of the air outlet, and the automatic adjustment performance of the central air conditioner during the monitoring period is analyzed through the air outlet control and analysis module, and the cause investigation and analysis is carried out when the automatic control abnormal signal is generated, and corresponding improvement measures are taken, which significantly improves the energy-saving effect and intelligent level of the central air conditioner;

[0036] 2. In the present invention, the indoor space where the central air-conditioner is located is monitored in real time through the regional monitoring and capturing module, and a regional efficiency reduction signal is generated when the indoor space is unmanned for a long time. When no user feedback is obtained, the central air-conditioner is caused to reduce its operating efficiency or suspend its operation, which can significantly reduce the energy consumption of the central air-conditioner and improve the energy-saving effect of the central air-conditioner. After the user makes an appointment to start the central air-conditioner, the appointment start judgment module is used to analyze whether to generate a start necessity inquiry signal. If no user feedback is obtained when the start necessity inquiry signal is generated, the central air-conditioner will not be started at the corresponding appointment start time, so as to avoid energy waste of the central air-conditioner and further improve the energy-saving effect of the central air-conditioner. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to facilitate understanding by those skilled in the art, the present invention is further described below in conjunction with the accompanying drawings;

[0038] Figure 1 This is a system block diagram of Embodiment 1 of the present invention;

[0039] Figure 2 This is a system block diagram of Embodiment 2 and Embodiment 3 of the present invention. DETAILED DESCRIPTION

[0040] 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.

[0041] Embodiment 1: Figure 1 As shown, the central air-conditioning energy-saving control system based on the Internet of Things proposed in the present invention includes a component equipment optimization alarm module, an air outlet monitoring and evaluation module, an air outlet management and analysis module, a central energy-saving control module and a user terminal;

[0042] The component equipment optimization alarm module obtains all the component equipment (including compressors, evaporators, condensers and other components) that need to be optimized and monitored in the central air-conditioning, analyzes the optimization urgency of each component equipment during the detection period, determines the emergency optimization equipment through analysis, and sends the emergency optimization equipment to the user terminal. When the user terminal receives the emergency optimization equipment, it issues a corresponding warning and promptly inspects and repairs the emergency optimization equipment, or replaces the corresponding emergency optimization equipment as needed, thereby ensuring that the various component equipment of the central air-conditioning can operate stably and efficiently, significantly reducing the operating energy consumption of the central air-conditioning and reducing the difficulty of its operation management.

[0043] Furthermore, the component equipment optimization alarm module is connected to the energy consumption abnormality identification module in communication. During the operation of the central air conditioner, the energy consumption abnormality identification module monitors the energy consumption of the corresponding component equipment, collects the power consumption data of the corresponding component equipment during operation per unit time, and compares the power consumption data with the corresponding preset standard power consumption threshold;

[0044] If the electric energy consumption data of the corresponding component equipment per unit time exceeds the corresponding preset standard electric energy consumption threshold, the energy consumption abnormality alarm information of the corresponding component equipment will be generated and sent to the component equipment optimization alarm module. It can not only provide real-time feedback on the abnormal operating energy consumption status of each component equipment of the central air-conditioning, but also provide data support for the analysis process of the component equipment optimization alarm module to ensure the accuracy of its analysis results.

[0045] It should be noted that the specific analysis process of the component equipment optimization alarm module is: setting a detection period, preferably, the detection period is ten days; collecting the total working time of the corresponding component equipment during the detection period and marking it as the working condition value, and collecting the total number of energy consumption abnormal alarm information generated by the corresponding component equipment during the detection period and marking it as the energy consumption frequency difference value, and marking the ratio of the energy consumption frequency difference value to the working condition value as the energy consumption initial evaluation value;

[0046] The energy consumption value is obtained by calculating the ratio of the power consumption data of the corresponding component equipment in unit time to the corresponding preset standard power consumption data threshold, and the energy consumption value is obtained by calculating the average of all energy consumption values ​​of the corresponding component equipment in the detection period;

[0047] The energy consumption initial evaluation value and the energy consumption occupancy value are numerically compared with the corresponding preset energy consumption initial evaluation threshold value and the preset energy consumption occupancy threshold value. If the energy consumption initial evaluation value or the energy consumption occupancy value exceeds the corresponding preset threshold value, indicating that the operating energy consumption of the corresponding component equipment during the detection period is high and the energy-saving performance is poor, the corresponding component equipment will be marked as urgent optimization equipment.

[0048] If the energy consumption initial evaluation value and the energy consumption occupancy value do not exceed the corresponding preset threshold value, the operation stability coefficient of the corresponding component equipment during the detection period is obtained through analysis, specifically: all the operating parameters (such as voltage, current and other parameters) that need to be monitored by the corresponding component equipment are obtained, and the real-time parameter data of all operating parameters are collected. The real-time parameter data is compared with the corresponding preset data requirements. If the real-time parameter data does not meet the corresponding preset data requirements, the corresponding operating parameter is assigned an abnormal judgment symbol TK-1;

[0049] The total number of times the corresponding operating parameters are assigned with the abnormal judgment symbol TK-1 during the detection period is obtained and the ratio thereof is calculated with the working condition value to obtain the abnormal judgment performance value. Each group of operating parameters is set in advance to correspond to a group of preset influence weight values, wherein the values ​​of the preset influence weight values ​​are all positive numbers, and the more the deviation of the corresponding operating parameters is unfavorable to the stable, safe and efficient operation of the equipment, the greater the value of the preset influence weight value matching it;

[0050] The product of the abnormal judgment performance value of the corresponding operating parameter and the corresponding preset influence weight value is marked as the abnormal judgment detection value, the abnormal judgment detection values ​​of all operating parameters that need to be monitored by the corresponding component equipment during the detection period are obtained, and the abnormal judgment detection values ​​of all operating parameters are summed up to calculate the operation stability coefficient;

[0051] By formula The optimized detection coefficient Yrg is obtained by numerically calculating the operation stability coefficient Pf, the energy consumption initial evaluation value Py and the energy consumption occupancy value Pw; wherein c1, c2 and c3 are preset proportional coefficients with values ​​greater than zero, and the larger the value of the optimized detection coefficient Yrg is, the worse the overall operation performance of the corresponding component equipment during the detection period is;

[0052] The optimized detection coefficient Yrg is numerically compared with the corresponding preset optimized detection coefficient threshold. If the optimized detection coefficient Yrg exceeds the corresponding preset optimized detection coefficient threshold, it indicates that the operating performance of the corresponding component equipment during the detection period is generally poor. The more timely the corresponding component equipment needs to be repaired and replaced, the more the corresponding component equipment will be marked as an urgent optimization equipment.

[0053] The air outlet monitoring and evaluation module monitors the air outlet of the central air conditioner through the corresponding sensor set at the air outlet, and judges whether it is in the high deviation state through air outlet deviation evaluation and analysis, and sends the judgment information to the central energy-saving control module and the air outlet control and analysis module through the Internet of Things. When the central energy-saving control module receives the judgment information of the high deviation state of the air outlet, it will make adaptive adjustments to the central air conditioner; the specific analysis process of air outlet deviation evaluation and analysis is as follows:

[0054] The real-time temperature, real-time humidity and real-time wind speed of the gas output from the air outlet are collected, and the real-time temperature is calculated by difference with the currently set standard temperature and the absolute value is taken to obtain the outlet air temperature evaluation value, the real-time humidity is calculated by difference with the currently set standard humidity and the absolute value is taken to obtain the outlet air humidity evaluation value, and the real-time wind speed is calculated by difference with the currently set standard wind speed and the absolute value is taken to obtain the outlet wind speed evaluation value;

[0055] The outlet air temperature evaluation value Q, the outlet air humidity evaluation value E and the outlet air speed evaluation value G are numerically calculated by the formula Lth=(uk1*Q+uk2*E+uk3*G) / 3 to obtain the outlet air deviation table value Lth; wherein uk1, uk2, uk3 are preset proportional coefficients with values ​​greater than zero, and the larger the value of the outlet air deviation table value Lth is, the greater the deviation of the gas output from the outlet at the corresponding moment from the set standard is;

[0056] The air outlet deviation table value Lth is numerically compared with the preset air outlet deviation table threshold. If the air outlet deviation table value Lth exceeds the preset air outlet deviation table threshold, it indicates that the gas output from the air outlet at the corresponding moment deviates greatly from the set standard, and timely regulation is required to ensure the air conditioning effect and avoid unnecessary energy waste. The central air conditioner is judged to be in a high air outlet deviation state.

[0057] The air outlet control and analysis module is used to set a monitoring period, preferably, the monitoring period is seven days; the automatic adjustment performance of the central air conditioner within the monitoring period is analyzed, and an automatic control abnormality signal or an automatic control qualified signal is generated through analysis, and the automatic control abnormality signal or the automatic control qualified signal is sent to the user terminal. When the user terminal receives the automatic control abnormality signal, a corresponding warning is issued, which can reasonably analyze and accurately evaluate the automatic adjustment performance of the central air conditioner, and when the automatic control abnormality signal is generated, the user is reminded to promptly investigate and analyze the cause and make corresponding improvement measures, so as to ensure the subsequent operation effect of the central air conditioner while reducing energy consumption; the specific analysis process of the air outlet control and analysis module is as follows:

[0058] When it is determined that the central air conditioner is in a high-biased air outlet state, the timing starts, and the central air conditioner gets rid of the high-biased air outlet state to obtain the self-control time; all the self-control time durations in the monitoring period are summed up to obtain the total time value of the high-biased air outlet, and the total time value of the high-biased air outlet is calculated by ratio with the total air outlet time of the central air conditioner in the monitoring period to obtain the air outlet control abnormality value;

[0059] The air outlet control abnormal condition value is numerically compared with the preset air outlet control abnormal condition threshold value. If the air outlet control abnormal condition value exceeds the preset air outlet control abnormal condition threshold value, it indicates that the automatic control efficiency of the central air conditioner is poor, and an automatic control abnormal signal is generated;

[0060] If the air outlet control abnormal condition value does not exceed the preset air outlet control abnormal condition threshold, when the central air conditioner is judged to be in the air outlet high deviation state, the excess value of the air outlet deviation table value compared with the preset air outlet deviation table threshold value is marked as the air outlet deviation excess value, and the ratio of the air outlet deviation excess value to the corresponding automatic control time is marked as the air outlet control analysis value; wherein, the smaller the value of the air outlet control analysis value is, the slower the control efficiency for the corresponding air outlet high deviation state is;

[0061] The air outlet control value is compared with the preset air outlet control threshold, and the number of air outlet control values ​​that do not exceed the preset air outlet control threshold in the monitoring period is calculated by ratio with the total air outlet time of the central air conditioner in the monitoring period to obtain the air outlet control inferior value, and all air outlet control values ​​in the monitoring period are averaged to obtain the air outlet control check value;

[0062] By formula The air outlet control abnormal value TN, the air outlet control bad value TM and the air outlet control check value TP are numerically calculated to obtain the air outlet control warning coefficient TX; wherein sq1, sq2 and sq3 are preset proportional coefficients with values ​​greater than zero, and the larger the value of the air outlet control warning coefficient TX is, the worse the automatic control performance of the central air conditioner is in general during the monitoring period;

[0063] The air outlet control warning coefficient TX is numerically compared with the preset air outlet control warning coefficient threshold. If the air outlet control warning coefficient TX exceeds the preset air outlet control warning coefficient threshold, it indicates that the automatic control performance of the central air conditioner during the monitoring period is poor on the whole, and an automatic control abnormal signal is generated; if the air outlet control warning coefficient TX does not exceed the preset air outlet control warning coefficient threshold, it indicates that the automatic control performance of the central air conditioner during the monitoring period is good on the whole, and an automatic control qualified signal is generated.

[0064] Embodiment 2: Figure 2As shown, the difference between this embodiment and the first embodiment is that the central energy-saving control module is connected to the regional monitoring and capturing module in communication, and the regional monitoring and capturing module marks the indoor space where the central air conditioner is located as the capturing area, monitors the capturing area in real time through the monitoring camera, and determines in real time whether there are people in the capturing area based on the monitoring video. When there are no people in the capturing area, the timing starts to obtain the unmanned time of the area in real time, and sends the unmanned time of the area to the central energy-saving control module;

[0065] The central energy-saving control module compares the unmanned time of the area with the preset unmanned time threshold of the area in real time. When the unmanned time of the area exceeds the preset unmanned time threshold of the area, the central energy-saving control module generates a regional efficiency reduction signal and sends the regional efficiency reduction signal to the user terminal;

[0066] If the user terminal does not make a feedback instruction within the first specified time period, the central energy-saving control module will reduce the operating efficiency of the central air-conditioning; if the user terminal does not make a feedback instruction within the second specified time period, the central energy-saving control module will suspend the operation of the central air-conditioning, which can significantly reduce the energy consumption of the central air-conditioning and improve the energy-saving effect of the central air-conditioning; preferably, the second specified time period>the first specified time period>10min.

[0067] Embodiment 3: Figure 2 As shown, the difference between this embodiment and the first and second embodiments is that when the user needs to schedule the central air conditioner to start, the user terminal sends a scheduled start instruction to the central energy-saving control module; wherein the scheduled start instruction includes information such as the scheduled start time and the set temperature;

[0068] The central energy-saving control module is connected to the scheduled start judgment module in communication. After the user issues a scheduled start instruction, the scheduled start judgment module marks the interval between the scheduled start time and the current time as the estimated interval time, and compares the estimated interval time with a preset estimated interval time threshold in real time;

[0069] When the estimated interval time starts to be less than the preset estimated interval time threshold, the real-time location of the user is collected, and the shortest path length from the real-time location to the indoor space where the central air conditioner is located is marked as the distance detection value. The real-time speed of the user is also collected, and the average of all real-time speeds in the detection period is calculated to obtain the actual speed detection value, and the ratio of the distance detection value to the actual speed detection value is calculated to obtain the start inquiry value; wherein, the larger the value of the start inquiry value, the more difficult it is for the user to arrive at the indoor space where the central air conditioner is located on time;

[0070] The startup inquiry value is numerically compared with the preset startup inquiry threshold. If the startup inquiry value exceeds the preset startup inquiry threshold, it indicates that it is more difficult for the user to arrive at the indoor space where the central air conditioner is located on time, and starting the central air conditioner according to the set scheduled startup time will cause energy waste, then a startup necessity inquiry signal is generated, and the startup necessity inquiry signal is sent to the user terminal via the central energy-saving control module;

[0071] If the user terminal does not make a feedback instruction within the corresponding specified time (preferably, the corresponding specified time is 5 minutes), the central energy-saving control module will not start the central air-conditioning at the corresponding scheduled start time to avoid energy waste of the central air-conditioning and further improve the energy-saving effect of the central air-conditioning.

[0072] The working principle of the present invention is as follows: the optimization urgency of each component device in the central air-conditioning is analyzed through the component device optimization alarm module to determine the urgent optimization device, and the urgent optimization device is inspected, repaired or replaced in time to ensure that each component device of the central air-conditioning can operate stably and efficiently, reduce the operating energy consumption of the central air-conditioning and reduce the difficulty of its operation and management, and the air outlet of the central air-conditioning is monitored through the air outlet monitoring and evaluation module to realize accurate evaluation and analysis of the air outlet deviation, and when it is judged that the air outlet is in a high deviation state, the central air-conditioning is adaptively adjusted through the central energy-saving control module to ensure the air conditioning effect while avoiding unnecessary energy waste, and the automatic adjustment performance of the central air-conditioning during the monitoring period is analyzed through the air outlet management and analysis module, and when an abnormal automatic control signal is generated, the cause is investigated and analyzed and corresponding improvement measures are taken to ensure the subsequent operation effect of the central air-conditioning and significantly improve the energy-saving performance and intelligence level of the central air-conditioning.

[0073] The above formulas are all dimensionless and numerical calculations. The formula is a formula obtained by collecting a large amount of data and performing software simulation to obtain the most recent real situation. The preset parameters in the formula are set by technicians in this field according to actual conditions. The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the contents of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that technicians in the relevant technical field can understand and use the present invention well. The present invention is only limited by the claims and their full scope and equivalents.

Claims

1. The central air-conditioning energy-saving control system based on the Internet of Things is characterized by: It includes equipment optimization alarm module, air outlet monitoring and evaluation module, air outlet control and analysis module, central energy-saving control module and user terminal; The component equipment optimization alarm module obtains all the component equipment that needs to be optimized and monitored in the central air conditioner, analyzes the optimization urgency of each component equipment during the detection period, determines the urgent optimization equipment through analysis, and sends the urgent optimization equipment to the user terminal. When the user terminal receives the urgent optimization equipment, it issues a corresponding warning; The air outlet monitoring and evaluation module monitors the air outlet of the central air conditioner, and determines whether the air outlet is in a high deviation state through air outlet deviation evaluation and analysis, and sends the judgment information to the central energy-saving control module and the air outlet control and analysis module. When the central energy-saving control module receives the judgment information of the high deviation state of the air outlet, it will adaptively adjust the central air conditioner; The air outlet control analysis module is used to set the monitoring period and analyze the automatic adjustment performance of the central air conditioner during the monitoring period. The analysis generates an automatic control abnormality signal or an automatic control qualified signal, and the automatic control abnormality signal or the automatic control qualified signal is sent to the user terminal. When the user terminal receives the automatic control abnormality signal, a corresponding warning is issued.

2. The central air-conditioning energy-saving control system based on the Internet of Things according to claim 1 is characterized in that: The component equipment optimization alarm module is communicatively connected to the energy consumption abnormality identification module. During the operation of the central air-conditioning, the energy consumption abnormality identification module monitors the energy consumption of the corresponding component equipment. If the electric energy consumption data of the corresponding component equipment per unit time exceeds the corresponding preset standard electric energy consumption threshold, energy consumption abnormality alarm information of the corresponding component equipment is generated and sent to the component equipment optimization alarm module.

3. The central air-conditioning energy-saving control system based on the Internet of Things according to claim 2 is characterized in that: The specific analysis process of the equipment optimization alarm module is as follows: The ratio of the energy consumption frequency difference value to the working condition value is marked as the energy consumption initial evaluation value, and the energy consumption occupancy value of all energy consumption test values ​​of the corresponding component equipment during the detection period is averaged to obtain the energy consumption occupancy value; if the energy consumption initial evaluation value or the energy consumption occupancy value exceeds the corresponding preset threshold, the corresponding component equipment will be marked as an urgent optimization device.

4. The central air-conditioning energy-saving control system based on the Internet of Things according to claim 3 is characterized in that: If the initial evaluation value of energy consumption and the energy consumption occupancy value do not exceed the corresponding preset threshold values, the operation stability coefficient of the corresponding component equipment during the detection period is obtained through analysis, and the optimized detection coefficient is obtained by numerically calculating the operation stability coefficient, the initial evaluation value of energy consumption and the energy consumption occupancy value. If the optimized detection coefficient exceeds the corresponding preset optimized detection coefficient threshold value, the corresponding component equipment will be marked as an urgent optimization equipment.

5. The central air-conditioning energy-saving control system based on the Internet of Things according to claim 4 is characterized in that: The analysis and acquisition method of the operational stability coefficient is as follows: All operating parameters that need to be monitored for the corresponding component equipment are obtained, and the real-time parameter data of all operating parameters are collected. The real-time parameter data are compared with the corresponding preset data requirements. If the real-time parameter data does not meet the corresponding preset data requirements, the corresponding operating parameter is assigned an abnormal judgment symbol TK-1; the product of the abnormal judgment performance value of the corresponding operating parameter and the corresponding preset influence weight value is marked as the abnormal judgment detection value, and the abnormal judgment detection values ​​of all operating parameters are summed up and calculated to obtain the operating stability coefficient.

6. The central air-conditioning energy-saving control system based on the Internet of Things according to claim 1 is characterized in that: The specific analysis process of air outlet deviation evaluation and analysis is as follows: The real-time temperature, real-time humidity and real-time wind speed of the gas output from the air outlet are collected, and the outlet air deviation table value is obtained by numerically calculating the outlet air temperature evaluation value, outlet air humidity evaluation value and outlet air speed evaluation value. If the outlet air deviation table value exceeds the preset outlet air deviation table threshold, it is judged that the central air conditioner is in a high outlet air deviation state.

7. The central air-conditioning energy-saving control system based on the Internet of Things according to claim 1 is characterized in that: The specific analysis process of the air outlet control analysis module is as follows: When it is determined that the central air conditioner is in a high-biased air outlet state, the timing starts, and the central air conditioner gets rid of the high-biased air outlet state to obtain the self-control time; all the self-control time durations in the monitoring period are summed up to obtain the total time value of the high-biased air outlet, and the total time value of the high-biased air outlet is calculated by ratio with the total air outlet time of the central air conditioner in the monitoring period to obtain the air outlet control abnormality value; If the air outlet control abnormal condition value exceeds the preset air outlet control abnormal condition threshold, an automatic control abnormal signal is generated; If the air outlet control abnormal condition value does not exceed the preset air outlet control abnormal condition threshold, the air outlet control warning coefficient is obtained by numerically calculating the air outlet control abnormal condition value, the air outlet control poor value and the air outlet control check value. If the air outlet control warning coefficient exceeds the preset air outlet control warning coefficient threshold, an automatic control abnormal signal is generated; if the air outlet control warning coefficient does not exceed the preset air outlet control warning coefficient threshold, an automatic control qualified signal is generated.

8. The central air-conditioning energy-saving control system based on the Internet of Things according to claim 1 is characterized in that: The central energy-saving control module is communicatively connected to the regional monitoring and capturing module. The regional monitoring and capturing module marks the indoor space where the central air conditioner is located as a capturing area, and monitors the capturing area in real time through a monitoring camera. When the unmanned time in the area exceeds a preset unmanned time threshold, the central energy-saving control module generates a regional efficiency reduction signal and sends the regional efficiency reduction signal to the user terminal; if the user terminal does not make a feedback instruction within the first specified time, the central energy-saving control module reduces the operating efficiency of the central air conditioner; if the user terminal does not make a feedback instruction within the second specified time, the central energy-saving control module suspends the operation of the central air conditioner.

9. The central air-conditioning energy-saving control system based on the Internet of Things according to claim 8 is characterized in that: The central energy-saving control module is communicatively connected to the scheduled start judgment module. When the estimated interval time starts to be less than the preset estimated interval time threshold, the scheduled start judgment module obtains a start inquiry value through analysis. If the start inquiry value exceeds the preset start inquiry threshold, a start necessity inquiry signal is generated, and the start necessity inquiry signal is sent to the user terminal via the central energy-saving control module; if the user terminal does not make a feedback instruction within the corresponding prescribed time, the central energy-saving control module will not start the central air conditioner at the corresponding scheduled start time.

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