A control method and system for a new air blower unit

Abstract

The present invention relates to the field of air conditioning application technology, and a control method and system for a new air fan unit, comprising: the following specific steps, step one, data collection, obtaining a comprehensive detection state coefficient Ztxs: the comprehensive detection state coefficient Ztx includes an outdoor environment parameter Sw and a current indoor environment parameter Sn; step two, obtaining the fan unit operating parameters: step three, generating a data set, extracting features in the data set, identifying and calculating the features, establishing a motion digital twin model according to the motion process of the new air fan unit, and after simulation analysis, obtaining the motion state of air flow in the air during the start-up, operation and frequency conversion of the fan unit; step four, setting a safety threshold coefficient based on the air flow operating state, and grading according to the safety threshold coefficient; step five, continuously tracking changes in the collected data, and timely adjusting the control fan operating parameter data according to the data analysis results.

Description

Technical Field

[0001] The present invention relates to the technical field of air conditioning application, and in particular to a control method and system for a new air fan unit. Background Art

[0002] Existing fan units are widely used in industry. Fan units are air conditioning equipment that provides fresh air. The working principle is to extract fresh air from the outdoors, and after dust removal, dehumidification (or humidification), cooling (or heating) and other treatments, send it to the room through the fan, and replace the original air in the room when it enters the indoor space.

[0003] However, the existing fan units can only monitor the operating status of the fan, and the environmental parameters are only adjusted manually through the perception and experience of the staff. In addition, the environmental parameters are not fully fitted. In special application scenarios, the following problems are prone to occur: manual operation is prone to errors, and human factors are important factors affecting operational stability and efficiency. Personnel fatigue, distraction, lack of experience, etc. may lead to errors and failures. Low operating efficiency: Manual operation requires continuous observation, adjustment and coordination by personnel, which is inefficient and cannot achieve all-weather automated operation. Summary of the invention

[0004] The present invention provides a control method and system for a new air fan group. In the process of collecting environmental parameters, different special scene environments are monitored in real time more fully. When collecting the comprehensive detection state coefficient Ztxs, several fixed-point samplings with interference degrees are selected for real-time monitoring and calculation, so as to promote the accuracy of reference factors. In the later air adjustment parameter configuration and algorithm configuration, the accuracy and flexibility of the fan group control are promoted, which solves the problem mentioned in the above background technology that the environmental parameters are only based on the perception and experience of the staff, and the fan is manually controlled, and the environmental parameters are not fully fitted, which is not suitable for special scenes.

[0005] The present invention provides the following technical solution: a control method for a new air blower unit, comprising the following specific steps:

[0006] Step 1: Data collection, obtaining comprehensive detection state coefficient Ztxs: the comprehensive detection state coefficient Ztx includes outdoor environment parameters Sw and current indoor environment parameters Sn;

[0007] Detect the indoor environmental conditions where the fan is installed and obtain the indoor environmental parameters Sn;

[0008] Detect the outdoor environmental conditions where the fan is installed and obtain the outdoor environmental parameter Sw;

[0009] Detect indoor occupancy density and activity, and obtain CO2 concentration and oxygen content data;

[0010] Detect indoor and outdoor climate conditions and obtain temperature and humidity data in indoor and outdoor air;

[0011] Step 2: Obtain the operating parameters of the fan unit: monitor the performance parameters of the fan unit and detect the energy cost to obtain the total electricity bill energy consumption data; detect the performance parameters and power consumption parameters of the single fans of different models in the new fan unit during operation, and obtain the difference value;

[0012] Step 3: Obtain the comprehensive detection state coefficient Ztxs in step 1 and the wind turbine operating parameters in step 2, generate a data set, extract features in the data set, identify and calculate the features, establish a motion digital twin model based on the motion process of the new wind turbine, and after simulation analysis, obtain the motion state of the air flow in the air during the start-up, operation and frequency conversion of the wind turbine;

[0013] Step 4: Based on the air flow operation status, a safety threshold coefficient is set, and classification is performed according to the safety threshold coefficient;

[0014] Step five: continuously track changes in collected data, and adjust the fan operating parameter data in a timely manner based on the safety threshold coefficient level and data analysis results.

[0015] As an optional scheme of the control method of a new air unit described in the present invention, wherein: the current indoor environmental parameters Sn include indoor air quality data zl, indoor temperature and humidity data wd and indoor negative pressure difference data fy; the indoor air quality data zl includes PM2.5, organic compounds, CO2 concentration and oxygen content, which are monitored in real time by setting air quality sensors, CO2 concentration sensors and oxygen sensors; the indoor temperature and humidity data wd are set by temperature and humidity sensors for real-time detection; the indoor negative pressure difference data are set by air pressure measuring instruments for real-time detection.

[0016] As an optional solution of the control method of a fresh air unit described in the present invention, the air quality data zl is obtained by the following calculation formula:

[0017]

[0018] Where: It indicates the control quality index of the pollutant organic pollutant P; represents the mass concentration value of pollutant P, and Represents pollutants High and low values ​​of similar pollutant concentration limits;

[0019] and Respectively represent and The corresponding air quality index; Take the maximum value among the component indices;

[0020] Said The calculation formula is:

[0021]

[0022] for The calculation can be designed to calculate 4 types of pollutants.

[0023] As an optional solution of the control method of a fresh air unit described in the present invention, wherein: the current real-time indoor environmental parameters also include an indoor interference coefficient Gr;

[0024] The indoor interference coefficient Gr includes the data of indoor mobile personnel, air pollution source data and the volatilization of raw materials;

[0025] Collect data on indoor mobile personnel through monitoring videos, set up particle sensors on industrial machinery to determine the pollution source at one time, and detect the volatile concentration of raw materials to obtain the volatile amount of raw materials, and then generate a distribution map of interference degree. According to the distribution map of interference degree, select several positioning points on the distribution map;

[0026] Several positioning points include at least 6 fixed point data, including X1 fixed point, X2 fixed point and X3 fixed point. In the area of ​​X1 fixed point, X2 fixed point and X3 fixed point, in addition, fixed points are set at the air outlet, air inlet and filter net of the fan unit, which are set as X4, X5 and X6 respectively. The above X1~X6 fixed points respectively collect air quality data zl, indoor temperature and humidity data wd and indoor negative pressure difference data fy, and calculate the correlation coefficient R;

[0027] The mean, variance, maximum and minimum values ​​of several air quality data zl, indoor temperature and humidity data wd and indoor negative pressure difference data fy in the correlation coefficient R are statistically characterized, and the feature subset is selected according to the correlation between the features and the target variable to obtain the indoor environmental parameters Sn.

[0028] As an optional solution of the control method of a fresh air unit described in the present invention, wherein: the outdoor environmental parameter Sw includes an outdoor temperature value, a humidity value, an air pressure value, a wind speed value and an air quality value;

[0029] The outdoor parameters Sw provide data for establishing the motion digital twin model in step three. These parameters help operators understand changes in the outdoor environment and then perform simulation analysis.

[0030] As an optional solution of the control method of a new fan unit described in the present invention, the performance parameters include air volume, air pressure, power, humidity, speed, fan unit weight, noise value and vibration value;

[0031] Function fitting is performed on fan performance parameters, total power consumption parameters and power consumption difference values ​​of fans of different specifications to obtain fan group operating parameters, and the fan group operating parameters are fed back to the controller.

[0032] As an optional solution of the control method of a new air turbine unit described in the present invention, in which: in the process of step 4, the threshold is set to include the safety threshold difference and the operating time, and the safety threshold difference and the operating time are fitted, and the threshold levels are set to level 1, level 2, level 3, level 4 and level 5, wherein level 1 is the lowest risk, and level 2, level 3, level 4 and level 5 are increasing from level 1 to level 5;

[0033] When the monitoring comprehensive detection state coefficient Ztxs does not exceed the threshold of the corresponding level, no control signal is generated. When the monitoring comprehensive detection state coefficient Ztxs exceeds the threshold of the corresponding level, according to whether the current indoor environmental parameter Sn is higher than the outdoor environmental parameter Sw, when the temperature and humidity difference and the air quality difference are obtained, the temperature and humidity difference and the air quality difference are calculated to reach the safety threshold interpolation in the set threshold, and then the threshold level one to five is classified to obtain the specific level, and then the fan is controlled to start to reach the corresponding level;

[0034] The actual operation time of the fan group is recorded to determine whether the operation time of the fan group reaches a set threshold. When the operation time reaches the set threshold, the operation state of the fan group is controlled to be closed.

[0035] As an optional solution of the control method of a new air fan unit described in the present invention, wherein: the air fan unit includes a refrigeration fan, a purification fan, a ventilation duct and a filter;

[0036] The filter is used as a fixed point X6. If the monitored air quality data zl, indoor temperature and humidity data wd, and indoor negative pressure difference data fy exceed the threshold level three, the controller issues an early warning command to remind the staff to perform cleaning operations.

[0037] A control system for a new wind turbine unit, comprising a service controller and a human-machine interface unit, a data analysis unit and a monitoring unit connected to a server for communication;

[0038] The monitoring unit is responsible for receiving the data collected by the sensor group;

[0039] Data analysis unit: The raw data collected by the sensor includes various parameters such as wind speed, rotation speed, temperature, humidity, etc. These data need to be processed and converted to obtain the comprehensive detection state coefficient Ztxs so that the machine learning algorithm can accurately identify and predict the specific operating state;

[0040] The human-machine interface unit is designed with a visual human-machine interface for easy operation and monitoring, so that the staff can timely understand the fan operation status and make adjustments;

[0041] The service controller is used to process and judge according to the preset threshold value, and finally output the control signal to the fan unit.

[0042] As an optional solution of the system of the control method of a new air fan group described in the present invention, the service controller executable instructions are used to execute the fan control method as described in any one of claims 1 to 8 when executed by a computer processor.

[0043] The present invention has the following beneficial effects:

[0044] 1. A control method and system for a new air fan unit, in step one, obtains outdoor environmental parameters Sw and current indoor environmental parameters Sn, and the indoor environment has some interference influencing parameters, and obtains indoor interference coefficient Gr. The more perfect the monitored environmental parameters are, the more it can be coordinated with the current environment when controlling and adjusting the fan unit, thereby promoting the improvement of indoor air quality and the accuracy of controlling humidity and temperature.

[0045] Obtain the comprehensive detection state coefficient Ztxs in step one and the wind unit operating parameters in step two, generate a data set, extract identification features, establish a digital model, obtain the air flow movement state, set the safety threshold coefficient level, and adjust the control fan operating parameter data in time according to the data analysis results, promote real-time monitoring and adjustment of the fan's operating status, and more efficiently and flexibly control the fan's operation automatically.

[0046] 2. The control method and system of the new air fan unit can obtain the maximum value of the control quality component and the mass index of the polluting organic matter by performing algorithm calculation on the air quality data zl. The working mode and wind speed of the fan can be automatically adjusted according to the detection and calculation results, so as to effectively adjust the indoor air quality data zl. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 It is a schematic flow chart of the steps of the control method of the fresh air unit of the present invention.

[0048] Figure 2 It is a schematic diagram of the control system block diagram of the new air unit of the present invention. DETAILED DESCRIPTION

[0049] 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. Example

[0050] Existing fan units are widely used in industry. Fan units are air conditioning equipment that provides fresh air. The working principle is to extract fresh air from the outdoors, and after dust removal, dehumidification (or humidification), cooling (or heating) and other treatments, send it to the room through the fan, and replace the original air in the room when it enters the indoor space.

[0051] However, the existing fan units can only monitor the operating status of the fan, and the environmental parameters are only adjusted by the staff's perception and experience, and the environmental parameters are not fully fitted. In special application scenarios, the following problems are prone to occur: manual operation is prone to errors, and human factors are an important factor affecting operational stability and efficiency. Staff fatigue, distraction, lack of experience, etc. may lead to errors and failures. Manual operation often cannot record and collect data in real time or accurately, which will bring difficulties to subsequent fault diagnosis, maintenance and optimization. Low operating efficiency: Manual operation requires continuous observation, adjustment and coordination by personnel, which is inefficient and cannot achieve all-weather automated operation.

[0052] Different scenarios and needs may require different fan control algorithms and parameter settings. For example: water plants, chemical plants or densely populated places. Therefore, when designing fan control methods and systems, it is necessary to fully consider actual needs and scenario characteristics, and it is particularly important to flexibly adjust threshold settings and parameter configurations.

[0053] The present invention provides the following technical solutions: A control method for a new air blower unit, please refer to Figure 1 , including: the following specific steps,

[0054] Step 1: Data collection, obtaining comprehensive detection state coefficient Ztxs: the comprehensive detection state coefficient Ztx includes outdoor environment parameters Sw and current indoor environment parameters Sn;

[0055] Detect the indoor environmental conditions where the fan is installed and obtain the indoor environmental parameters Sn;

[0056] Detect the outdoor environmental conditions where the fan is installed and obtain the outdoor environmental parameters Sw; climate conditions have an impact on the parameter configuration of the fan control algorithm. For example, in humid or hazy weather, the ventilation frequency and intensity need to be increased to purify the indoor air.

[0057] Detect the density and activity of people in the room, and obtain data on CO2 concentration and oxygen content; environmental conditions such as indoor temperature, humidity, and carbon dioxide concentration have a great impact on the parameter configuration of the fan control algorithm. For example, during the high temperature period in summer, higher wind speed and flow rate need to be set to ensure indoor air circulation and cooling;

[0058] Detect indoor and outdoor climate conditions and obtain temperature and humidity data in indoor and outdoor air;

[0059] Step 2: Obtain the operating parameters of the fan unit: monitor the performance parameters of the fan unit and detect the energy cost to obtain the total electricity bill energy consumption data; detect the performance parameters and power consumption parameters of the single fans of different models in the new fan unit during operation, and obtain the difference value;

[0060] Step 3: Obtain the comprehensive detection state coefficient Ztxs in step 1 and the wind turbine operating parameters in step 2, generate a data set, extract features in the data set, identify and calculate the features, establish a motion digital twin model based on the motion process of the new wind turbine, and after simulation analysis, obtain the motion state of the air flow in the air during the start-up, operation and frequency conversion of the wind turbine;

[0061] Step 4: Based on the air flow operation status, a safety threshold coefficient is set, and classification is performed according to the safety threshold coefficient;

[0062] Step five: continuously track changes in collected data, and adjust the fan operating parameter data in a timely manner based on the safety threshold coefficient level and data analysis results.

[0063] In this embodiment, in step one, the outdoor environmental parameter Sw and the current indoor environmental parameter Sn are obtained, and the indoor environment has some interference influencing parameters, and the indoor interference coefficient Gr is obtained. The more perfect the monitored environmental parameters are, the more it can be coordinated with the current environment when controlling and adjusting the fan unit, thereby promoting the improvement of indoor air quality and the accuracy of controlling humidity and temperature.

[0064] Obtain the comprehensive detection state coefficient Ztxs in step one and the fan unit operating parameters in step two, generate a data set, extract identification features, establish a digital model, obtain the air flow movement state, set the safety threshold coefficient level, and adjust the fan operating parameter data in time according to the data analysis results to promote real-time monitoring and adjustment of the fan's operating status, and control the fan operation more efficiently and flexibly. Example

[0065] This embodiment is an explanation of the embodiment 1, wherein: the current indoor environmental parameter Sn includes indoor air quality data zl, indoor temperature and humidity data wd and indoor negative pressure difference data fy; the indoor air quality data zl includes PM2.5, organic compounds, CO2 concentration and oxygen content, which are monitored in real time by setting an air quality sensor, a CO2 concentration sensor and an oxygen sensor; the indoor temperature and humidity data wd is set by a temperature and humidity sensor for real-time detection; the indoor negative pressure difference data is set by an air pressure measuring instrument for real-time detection;

[0066] Indoor air quality data: Due to some special working environments, such as hospital operating rooms and laboratories, air quality needs to be accurately monitored and controlled to ensure the health of personnel; indoor CO2 concentration is one of the important indicators used to measure air quality and ventilation conditions. When the indoor CO2 concentration reaches 1000ppm, it is necessary to properly turn on the fan for ventilation adjustment to ensure good indoor air quality. If the CO2 concentration continues to rise and exceeds 1500ppm, it will cause physical discomfort, such as headaches, drowsiness, decreased concentration, etc. At this time, windows should be opened or ventilation should be strengthened in time. It should be noted that CO2 concentration is only an indicator for measuring indoor pollutants. Other harmful gases and particulate matter also need to be taken into account. While ensuring ventilation, attention should also be paid to other sources of pollution in the indoor environment.

[0067] According to actual needs, the corresponding threshold of CO2 concentration is set in step 4. When the CO2 concentration exceeds the threshold, the fan control system is automatically started.

[0068] Indoor negative pressure difference data: Some industrial production sites need to monitor pressure, such as water plants and chemical plants. For these projects, the pressure of the fan suction and outlet can be measured to understand the pressure of the entire production area. Under the premise of ensuring indoor air quality, negative pressure difference control is needed to ensure the circulation of indoor and outdoor air to avoid secondary indoor pollution.

[0069] Indoor temperature and humidity data wd: Indoor temperature and humidity conditions have a great impact on the parameter configuration of the fan control algorithm. For example, during the high temperature period in summer, higher wind speed and flow rate need to be set to ensure indoor air circulation and cooling;

[0070] In this embodiment, by selecting appropriate sensors to monitor relevant parameters according to specific application scenarios and requirements, accurate monitoring and control of the operating status of the fan unit can be achieved.

[0071] Example 3

[0072] This embodiment is an explanation of the embodiment 1, wherein the air quality data zl is obtained by the following calculation formula:

[0073]

[0074] Where: It indicates the control quality index of the pollutant organic pollutant P; represents the mass concentration value of pollutant P, and Represents pollutants High and low values ​​of similar pollutant concentration limits;

[0075] and Respectively represent and The corresponding air quality index; Take the maximum value among the component indices;

[0076] Said The calculation formula is:

[0077]

[0078] for The calculation can be designed to calculate 4 types of pollutants.

[0079] In this embodiment, by performing algorithmic formula calculation on the air quality data zl, the maximum value among the controlled mass components and the mass index of the polluting organic matter are obtained, and the working mode and wind speed of the fan can be automatically adjusted according to the detection and calculation results to effectively adjust the indoor air quality data zl. Example

[0080] This embodiment is an explanation made in Embodiment 1, wherein: the current real-time indoor environmental parameters also include an indoor interference coefficient Gr;

[0081] The indoor interference coefficient Gr includes the data of indoor mobile personnel, air pollution source data and the volatilization of raw materials;

[0082] The density and activity of people will also affect the parameter configuration of the fan control algorithm. For example, in crowded conference rooms and classrooms, the ventilation frequency and intensity need to be increased to avoid excessive indoor CO2 concentration;

[0083] Collect data on indoor mobile personnel through monitoring videos, set up particle sensors on industrial machinery to determine the pollution source at one time, and detect the volatile concentration of raw materials to obtain the volatile amount of raw materials, and then generate a distribution map of interference degree. According to the distribution map of interference degree, select several positioning points on the distribution map;

[0084] Several positioning points include at least 6 fixed point data, including X1 fixed point, X2 fixed point and X3 fixed point. In the area of ​​X1 fixed point, X2 fixed point and X3 fixed point, in addition, fixed points are set at the air outlet, air inlet and filter net of the fan unit, which are set as X4, X5 and X6 respectively. The above X1~X6 fixed points respectively collect air quality data zl, indoor temperature and humidity data wd and indoor negative pressure difference data fy, and calculate the correlation coefficient R;

[0085] The mean, variance, maximum and minimum values ​​of several air quality data zl, indoor temperature and humidity data wd and indoor negative pressure difference data fy in the correlation coefficient R are statistically characterized, and the feature subset is selected according to the correlation between the features and the target variable to obtain the indoor environmental parameters Sn.

[0086] In this embodiment, the correlation coefficient R is calculated by sampling and monitoring the air quality data zl, the indoor temperature and humidity data wd and the indoor negative pressure difference data fy at the points X1 to X6. Example

[0087] This embodiment is an explanation made in Embodiment 1, wherein: the outdoor environmental parameter Sw includes an outdoor temperature value, a humidity value, an air pressure value, a wind speed value, and an air quality value;

[0088] The outdoor parameters Sw provide data for establishing the motion digital twin model in step three. These parameters help operators understand changes in the outdoor environment and then perform simulation analysis.

[0089] Among them: performance parameters include air volume, air pressure, power, humidity, speed, fan unit weight, noise value and vibration value;

[0090] The performance parameters, total power consumption parameters and power consumption difference values ​​of fans of different specifications are fitted with functions to obtain the operating parameters of the fan group, and the operating parameters of the fan group are fed back to the controller. The electricity prices in different regions are different, so energy costs need to be considered in the fan control algorithm. For example, in areas with expensive electricity costs, it is necessary to give priority to minimizing energy consumption to reduce electricity expenses. Fans of different brands and models may also have differences in performance and power consumption during operation. Therefore, the characteristics and performance of the equipment itself need to be fully considered in the parameter configuration of the fan control algorithm.

[0091] Taking all the above factors into consideration, the outdoor environmental parameters Sw and performance parameters are calculated, so that the fan control algorithm that meets the needs of different scenarios can be designed later. Example

[0092] This embodiment is an explanation of the embodiment 1, wherein: in the process of step 4, the threshold is set to include the safety threshold difference and the running time, and the safety threshold difference and the running time are fitted, and the threshold levels are set to level 1, level 2, level 3, level 4 and level 5, wherein level 1 is the lowest risk, level 2, level 3, level 4 and level 5 are increasing from level 1 to level 5;

[0093] When the monitoring comprehensive detection state coefficient Ztxs does not exceed the threshold of the corresponding level, no control signal is generated. When the monitoring comprehensive detection state coefficient Ztxs exceeds the threshold of the corresponding level, according to whether the current indoor environmental parameter Sn is higher than the outdoor environmental parameter Sw, when the temperature and humidity difference and the air quality difference are obtained, the temperature and humidity difference and the air quality difference are calculated to reach the safety threshold interpolation in the set threshold, and then the threshold level one to five is classified to obtain the specific level, and then the fan is controlled to start to reach the corresponding level;

[0094] The actual operation time of the fan group is recorded to determine whether the operation time of the fan group reaches a set threshold. When the operation time reaches the set threshold, the operation state of the fan group is controlled to be closed.

[0095] Wherein: the fan unit includes a refrigeration fan, a purification fan, a ventilation duct and a filter;

[0096] The filter is used as a fixed point X6. If the monitored air quality data zl, indoor temperature and humidity data wd, and indoor negative pressure difference data fy exceed the threshold level three, the controller issues an early warning command to remind the staff to perform cleaning operations.

[0097] Now in the market, some filters and ventilation ducts in fan units have been used for a long time, and some filters may even be clogged. The X6 fixed point is set in the filter or ventilation duct as an interference factor. When too many organic PM2.5 particles are filtered out in the air quality, it is convenient to issue an early warning command and perform cleaning operations in time to improve gas flow and ensure clean and healthy air quality.

[0098] A new control system for the fan unit, please refer to Figure 2 , including a service controller and a human-machine interface unit, a data analysis unit and a monitoring unit that are communicatively connected to the server;

[0099] The monitoring unit is responsible for receiving the data collected by the sensor group;

[0100] Data analysis unit: The raw data collected by the sensor includes various parameters such as wind speed, rotation speed, temperature, humidity, etc. These data need to be processed and converted to obtain the comprehensive detection state coefficient Ztxs so that the machine learning algorithm can accurately identify and predict the specific operating state;

[0101] The human-machine interface unit is designed with a visual human-machine interface for easy operation and monitoring, so that the staff can timely understand the fan operation status and make adjustments;

[0102] The service controller is used to process and judge according to the preset threshold value, and finally output the control signal to the fan unit.

[0103] As an optional solution of the system of the control method of a new air fan group described in the present invention, the service controller executable instructions are used to execute the fan control method as described in any one of claims 1 to 8 when executed by a computer processor.

[0104] The above embodiments may be implemented in whole or in part by software, hardware, firmware or any other combination thereof. When implemented by software, the above embodiments may be implemented in whole or in part in the form of a computer program product. A person of ordinary skill in the art may appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed in the present invention may be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution.

[0105] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, and may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0106] The above description is only a specific implementation mode of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A control method for a new air blower unit, characterized in that: include: The following are the specific steps: Step 1: Data collection, obtaining comprehensive detection state coefficient Ztxs: the comprehensive detection state coefficient Ztx includes outdoor environment parameters Sw and current indoor environment parameters Sn; Detect the indoor environmental conditions where the fan is installed and obtain the indoor environmental parameters Sn; Detect the outdoor environmental conditions where the fan is installed and obtain the outdoor environmental parameter Sw; Detect indoor occupancy density and activity, and obtain CO2 concentration and oxygen content data; Detect indoor and outdoor climate conditions and obtain temperature and humidity data in indoor and outdoor air; Step 2: Obtain the operating parameters of the fan unit: monitor the performance parameters of the fan unit and detect the energy cost to obtain the total electricity bill energy consumption data; detect the performance parameters and power consumption parameters of the single fans of different models in the new fan unit during operation, and obtain the difference value; Performance parameters include air volume, air pressure, power, humidity, speed, fan unit weight, noise level and vibration level; Perform function fitting on fan performance parameters, total power consumption parameters and power consumption difference values ​​of fans of different specifications to obtain fan group operating parameters, and feed the fan group operating parameters back to the controller; Step 3: Obtain the comprehensive detection state coefficient Ztxs in step 1 and the wind turbine operating parameters in step 2, generate a data set, extract features in the data set, identify and calculate the features, establish a motion digital twin model based on the motion process of the new wind turbine, and after simulation analysis, obtain the motion state of the air flow in the air during the start-up, operation and frequency conversion of the wind turbine; Step 4: Based on the air flow operation status, a safety threshold coefficient is set, and classification is performed according to the safety threshold coefficient; The thresholds are set including the safety threshold difference and the running time, and the safety threshold difference and the running time are fitted, and the threshold levels are set to level 1, level 2, level 3, level 4 and level 5, where level 1 is the lowest risk, and level 2, level 3, level 4 and level 5 increase in degree from level 1 to level 5; When the monitoring comprehensive detection state coefficient Ztxs does not exceed the threshold of the corresponding level, no control signal is generated. When the monitoring comprehensive detection state coefficient Ztxs exceeds the threshold of the corresponding level, according to whether the current indoor environmental parameter Sn is higher than the outdoor environmental parameter Sw, when the temperature and humidity difference and the air quality difference are obtained, the temperature and humidity difference and the air quality difference are calculated to reach the safety threshold interpolation in the set threshold, and then the threshold level one to five is classified to obtain the specific level, and then the fan is controlled to start to reach the corresponding level; And record the actual operation time of the fan group, determine whether the operation time of the fan group reaches the operation time of the set threshold, and when the operation time reaches the set threshold, control to shut down the operation state of the fan group; Step five: continuously track changes in collected data, and adjust the fan operating parameter data in a timely manner based on the safety threshold coefficient level and data analysis results.

2. The control method of a fresh air unit according to claim 1, characterized in that: The current indoor environmental parameters Sn include indoor air quality data zl, indoor temperature and humidity data wd, and indoor negative pressure difference data fy; the indoor air quality data zl includes PM2.5, organic compounds, CO2 concentration and oxygen content, which are monitored in real time by setting air quality sensors, CO2 concentration sensors and oxygen sensors; the indoor temperature and humidity data wd are set by temperature and humidity sensors for real-time detection; the indoor negative pressure difference data are set by air pressure measuring instruments for real-time detection.

3. The control method of a fresh air unit according to claim 2, characterized in that: The air quality data zl is obtained through the following calculation formula: Where: It indicates the control quality index of the pollutant organic pollutant P; represents the mass concentration value of pollutant P, and Represents pollutants High and low values ​​of similar pollutant concentration limits; and Respectively represent and The corresponding air quality index; Take the maximum value among the component indices; Said The calculation formula is: for The calculation can be designed to calculate 4 types of pollutants.

4. The control method of a fresh air unit according to claim 2, characterized in that: The current real-time indoor environmental parameters also include the indoor interference coefficient Gr; The indoor interference coefficient Gr includes the data of indoor mobile personnel, air pollution source data and the volatilization of raw materials; Collect data on indoor mobile personnel through monitoring videos, set up particle sensors on industrial machinery to determine the pollution source at one time, and detect the volatile concentration of raw materials to obtain the volatile amount of raw materials, and then generate a distribution map of interference degree. According to the distribution map of interference degree, select several positioning points on the distribution map; Several positioning points include at least 6 fixed point data, including X1 fixed point, X2 fixed point and X3 fixed point. In the area of ​​X1 fixed point, X2 fixed point and X3 fixed point, in addition, fixed points are set at the air outlet, air inlet and filter net of the fan unit, which are set as X4, X5 and X6 respectively. The above X1~X6 fixed points respectively collect air quality data zl, indoor temperature and humidity data wd and indoor negative pressure difference data fy, and calculate the correlation coefficient R; The mean, variance, maximum and minimum values ​​of several air quality data zl, indoor temperature and humidity data wd and indoor negative pressure difference data fy in the correlation coefficient R are statistically characterized, and the feature subset is selected according to the correlation between the features and the target variable to obtain the indoor environmental parameters Sn.

5. The control method of a fresh air unit according to claim 3, characterized in that: The outdoor environmental parameters Sw include outdoor temperature value, humidity value, air pressure value, wind speed value and air quality value; The outdoor parameters Sw provide data for establishing the motion digital twin model in step three. These parameters help operators understand changes in the outdoor environment and then perform simulation analysis.

6. The control method of a fresh air unit according to claim 1, characterized in that: The fan unit includes a refrigeration fan, a purification fan, a ventilation duct and a filter; The filter is used as a fixed point X6. If the monitored air quality data zl, indoor temperature and humidity data wd, and indoor negative pressure difference data fy exceed the threshold level three, the controller issues an early warning command to remind the staff to perform cleaning operations.

7. A control system for a new air blower unit, characterized in that: It includes a service controller and a human-machine interface unit, a data analysis unit and a monitoring unit which are communicatively connected with the server; The monitoring unit is responsible for receiving the data collected by the sensor group; Data analysis unit: The raw data collected by the sensor includes various parameters such as wind speed, rotation speed, temperature, humidity, etc. These data need to be processed and converted to obtain the comprehensive detection state coefficient Ztxs so that the machine learning algorithm can accurately identify and predict the specific operating state; The human-machine interface unit is designed with a visual human-machine interface for easy operation and monitoring, so that the staff can timely understand the fan operation status and make adjustments; The service controller is used to process and judge according to the preset threshold value, and finally output the control signal to the fan unit.

8. The control system of a fresh air unit according to claim 7, characterized in that: The service controller executable instructions are used to perform the wind turbine control method according to any one of claims 1 to 6 when executed by a computer processor.

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