Fresh air system, method and device based on network control and medium

Abstract

The invention discloses a fresh air system, method and device based on network control and a medium, and relates to the technical field of indoor fresh air equipment, the fresh air system comprises an intelligent equipment module, and the intelligent equipment module comprises a fresh air unit, a disinfection unit and a controller unit; the data monitoring module is used for monitoring and acquiring indoor and outdoor environment parameters and equipment parameters in real time; the intelligent control module comprises an analysis and judgment unit and an intelligent optimization unit; the maintenance module is used for maintaining the intelligent equipment module; by arranging the intelligent control module and the maintenance module, whether equipment needs to be maintained or not can be judged according to equipment parameters, optimal maintenance personnel are arranged for maintenance, the maintenance cost can be saved, and meanwhile operation of the whole system is automatically adjusted according to indoor and outdoor environment parameters so as to reduce energy loss.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of indoor fresh air equipment, more particularly to a network control-based fresh air system, method, device and medium. BACKGROUND

[0002] Residential, office, hospital, school and other areas belong to the environment with high requirements for indoor air quality, in order to provide a comfortable and safe breathing environment, a fresh air system is often needed to provide fresh outdoor air, and viruses, bacteria and other harmful microorganisms in the air are killed or removed to maintain the freshness and health of indoor air.

[0003] The existing fresh air system still has some defects, and the fresh air system will cause loss of indoor energy during the air exchange process, especially when the air conditioner is used in winter and summer, which will cause loss of cold air or hot air, and the fresh air system needs professional installation and maintenance, which will increase the use cost. SUMMARY

[0004] In view of the existing deficiencies in the prior art, the purpose of the present application is to provide a power supply monitoring system for switching between photovoltaic power generation and social power supply.

[0005] To achieve the above purpose, the present application provides the following technical scheme in one aspect:

[0006] A network control-based fresh air system comprises:

[0007] An intelligent device module, which comprises a fresh air unit, a disinfection unit and a controller unit;

[0008] A data monitoring module, which is used for real-time monitoring and obtaining environmental parameters and equipment parameters indoors and outdoors;

[0009] An intelligent control module, which comprises an analysis and judgment unit and an intelligent optimization unit;

[0010] The analysis and judgment unit is used for judging whether the intelligent device module has a fault according to the parameters obtained by the data monitoring module, specifically:

[0011] Obtaining the air outlet flow of the fresh air unit and the disinfection unit and marking it as Q;

[0012] Obtaining the noise value of the fresh air unit and the disinfection unit and marking it as W;

[0013] According to the formula

[0014]

[0015] Calculate a failure value E of the intelligent device module, wherein a1 and a2 are preset failure value coefficients;

[0016] A threshold value of the failure value E is preset, and it is determined whether the failure value E is greater than the threshold value of the failure value. If yes, it is determined that the intelligent device module has a failure, and corresponding maintenance information is generated;

[0017] If no, it is determined that the intelligent device module has no failure;

[0018] A maintenance module is configured to maintain the intelligent device module.

[0019] Preferably, the analysis unit is configured to adjust parameters of the controller unit according to the environmental parameters of the data monitoring module to reduce energy consumption, specifically,

[0020] A first judgment value of the intelligent device module is obtained and marked as R;

[0021] A second judgment value of the intelligent device module is obtained and marked as T;

[0022] The number of sensors of the data monitoring module is obtained and marked as N;

[0023] According to the formula

[0024]

[0025] The control parameter W of the controller unit after adjustment is calculated, wherein Fj is a preset pressure influence value coefficient, and the obtained control parameter W is input into the controller unit.

[0026] Preferably, the first judgment value R of the intelligent device module is obtained in the following manner, specifically,

[0027] A threshold range is preset, the environmental parameters of the data monitoring module are obtained, and the obtained environmental parameters and the threshold range are compared. If the environmental parameters are less than the threshold range, the parameters are marked as low, if the environmental parameters are within the threshold range, the parameters are marked as moderate, and if the environmental parameters are greater than the threshold range, the parameters are marked as high;

[0028] A rule base is preset, and inference is performed based on the rule base and the current input fuzzy set to obtain a fuzzy output value zj, and the number M of all fuzzy outputs is obtained;

[0029] According to the formula

[0030]

[0031] The first judgment value R of the intelligent device module is calculated.

[0032] Preferably, the second judgment value T of the intelligent device module is calculated in the following manner, specifically:

[0033] According to the formula

[0034] T=f(G\cdot f(H\cdot zj+b_1)+b_2)

[0035] The second judgment value T of the intelligent device module is calculated, wherein G and H are weight matrices (b_1) and (b_2), and (f) is an activation function.

[0036] Preferably, the maintenance module is used to maintain the intelligent device module, specifically:

[0037] The position information of the intelligent device module is obtained, the position of the device is taken as the center, a circle with a preset radius is drawn to obtain a maintenance radius, and the staff within the maintenance radius is marked as a maintenance staff.

[0038] Preferably, the total working time of each maintenance staff is obtained and marked as K;

[0039] The maintenance distance of each maintenance staff is obtained and marked as P;

[0040] According to the formula

[0041] S=Q×K1+W×P2

[0042] The maintenance value S of the intelligent device module is calculated, wherein b1 and b2 are preset proportion coefficients.

[0043] Preferably, according to the formula

[0044] X=Q×C1+W×C2

[0045] The maintenance value X of the intelligent device module is calculated, wherein C1 and C2 are preset proportion coefficients.

[0046] The obtained maintenance value X is sent to the mobile terminal of the maintenance staff with the highest priority value S.

[0047] On the other hand, the application further provides a fresh air system based on network control, comprising the following steps:

[0048] Step one: obtaining the environmental parameters and device parameters indoors and outdoors;

[0049] Step two: judging whether the device needs maintenance according to the device parameters, and arranging the best maintenance staff to maintain;

[0050] Step three: automatically adjust the operation of the entire system according to the indoor and outdoor environmental parameters to reduce energy loss.

[0051] An indoor fresh air disinfection intelligent control device suitable for the network control based fresh air system, characterized in that it comprises:

[0052] The controller unit comprises a controller.

[0053] A storage medium storing a computer program for executing a network control based fresh air system.

[0054] By setting the intelligent control module and the maintenance module, it can be judged whether the equipment needs maintenance according to the equipment parameters, and the best maintenance personnel can be arranged for maintenance, which can save maintenance cost, and the operation of the entire system can be automatically adjusted according to the indoor and outdoor environmental parameters in combination with the multi-system fusion mode, the operation parameters of the equipment are adjusted, and energy loss is reduced. BRIEF DESCRIPTION OF DRAWINGS

[0055] Figure 1 It is a system block diagram of the application;

[0056] Figure 2 It is a flowchart block diagram of the application;

[0057] Figure 3 It is a schematic diagram of the controller of the application.

[0058] Among them, 1, the controller. DETAILED DESCRIPTION

[0059] Reference Figures 1 to 3 :

[0060] A network control based fresh air system, characterized in that it comprises:

[0061] The intelligent device module comprises a fresh air unit, a disinfection unit and a controller unit.

[0062] The data monitoring module is used for real-time monitoring and obtaining the indoor and outdoor environmental parameters and equipment parameters; it should be noted that the data monitoring module comprises a temperature / humidity sensor: for monitoring the indoor temperature and humidity, so as to adjust the air supply quantity and temperature of the fresh air system.

[0063] PM2.5 sensor: real-time monitoring of indoor PM2.5 concentration to ensure air quality meets the standard.

[0064] CO2 sensor: monitors indoor CO2 concentration to reflect indoor ventilation conditions.

[0065] Outdoor weather sensor (optional): monitors outdoor temperature, humidity, wind speed, etc. to provide more reference data for intelligent control. The environmental parameters of indoor and outdoor include temperature, humidity, PM2.5 concentration and CO2 concentration. The equipment parameters include flow and noise.

[0066] Intelligent control module, the intelligent control module includes analysis and judgment unit and intelligent optimization unit;

[0067] The analysis and judgment unit is used to determine whether the intelligent device module has a fault according to the parameters obtained by the data monitoring module, specifically:

[0068] The air outlet flow of the fresh air unit and the disinfection unit is obtained and marked as Q;

[0069] The noise value of the fresh air unit and the disinfection unit is obtained and marked as W;

[0070] According to the formula

[0071]

[0072] The fault value E of the intelligent device module is calculated, wherein a1 and a2 are preset fault value coefficients;

[0073] A threshold value of the fault value E is preset, and it is judged whether the fault value E is greater than the threshold value of the fault value. If yes, it is judged that the intelligent device module has a fault, and corresponding maintenance information is generated;

[0074] If no, it is judged that the intelligent device module has no fault;

[0075] Maintenance module, the maintenance module is used to maintain the intelligent device module.

[0076] As shown in Figure 1 The analysis unit is used to adjust the parameters of the controller unit to reduce energy consumption according to the environmental parameters of the data monitoring module, specifically:

[0077] The first judgment value of the intelligent device module is obtained and marked as R. It should be noted that the first judgment value R is obtained by fuzzy control algorithm, which is based on fuzzy logic and allows the use of inaccurate or fuzzy information for reasoning. In the system, fuzzy control can adjust the operating parameters of the system (such as air supply, return air volume, temperature set point, etc.) according to the indoor and outdoor environmental parameters (such as temperature, humidity, PM2.5 concentration, etc.) and the set comfort range;

[0078] The second judgment value of the intelligent device module is obtained and marked as T. It should be noted that the second judgment value T is obtained by neural network algorithm, which simulates the connection mode of human brain neurons and predicts future trends by learning historical data;

[0079] The number of sensors of the data monitoring module is obtained and marked as N;

[0080] According to the formula

[0081]

[0082] The control parameter W of the controller unit after adjustment is calculated, wherein Fj is a preset pressure influence value coefficient, and the obtained control parameter W is input into the controller unit. It should be noted that the adjustment parameter can be more accurately obtained by means of multi-algorithm fusion. It should be further noted that in the embodiment, the value of the classification value coefficient Fj is set as Fj, j = 1, 2, 3…j, and j is a positive integer; U1 < U2 < U3 < … < Uj, each classification value coefficient corresponds to a range, including (0, D1), (D1, D2) …, (Dh-1, Dh), if it is within the range of (0, D1), the corresponding classification value coefficient takes the value of F1, and the same applies to the subsequent. It should be further noted that F1 is 0.343, and U2, U3, … Fj increase by 0.08 in turn.

[0083] As shown in Figure 1 , the first judgment value R of the intelligent device module is obtained in the following manner, specifically:

[0084] A threshold range is set in advance, the environmental parameters of the data monitoring module are obtained, and the obtained environmental parameters are compared with the threshold range. If the environmental parameter is less than the threshold range, the parameter is marked as low; if the environmental parameter is within the threshold range, the parameter is marked as moderate; if the environmental parameter is greater than the threshold range, the parameter is marked as high. For example, the precise input value (such as temperature 25℃) is converted into a fuzzy set (such as “moderate”);

[0085] A rule base is set in advance, and reasoning is performed based on the rule base and the current input fuzzy set to obtain a fuzzy output value zj, and the number M of all fuzzy outputs is obtained. It should be noted that a set of IF-THEN rules is defined, for example: “if the temperature is high and the humidity is low, then increase the air supply”

[0086] According to the formula

[0087]

[0088] The first judgment value R of the intelligent device module is calculated.

[0089] As shown in Figure 1 , the second judgment value T of the intelligent device module is obtained in the following manner, specifically:

[0090] According to the formula

[0091] T = f(G * f(H * z + b1) + b2)

[0092] The second judgment value T of the intelligent device module is calculated, wherein G and H are weight matrices (b1) and (b2), (f) is an activation function (such as ReLU, Sigmoid, etc.), and data of multiple sensors are fused to improve measurement accuracy and reliability. In the system, data fusion can help eliminate redundant and conflicting information between sensors.

[0093] As shown in Figure 1 , the maintenance module is used for maintaining the intelligent device module, specifically:

[0094] The position information of the intelligent device module is obtained, and a circle with a preset radius is drawn with the position of the device as the center to obtain a maintenance radius. The staff within the maintenance radius is marked as a maintenance staff.

[0095] As shown in Figure 1 , the total working time of each maintenance staff is obtained and marked as K;

[0096] The maintenance distance of each maintenance staff is obtained and marked as P;

[0097] According to the formula

[0098] S = Q * K1 + W * P2

[0099] The maintenance value S of the intelligent device module is calculated and obtained, wherein b1 and b2 are preset proportion coefficients.

[0100] As shown in Figure 1 , according to the formula

[0101] X = Q * C1 + W * C2

[0102] The maintenance value X of the intelligent device module is calculated and obtained, wherein C1 and C2 are preset proportion coefficients;

[0103] The obtained maintenance value X is sent to the mobile terminal of the maintenance staff with the highest priority value S. It should be noted that the maintenance staff has a maintenance threshold. If the number of maintenance times reaches the maintenance threshold on the same day, the maintenance value X is sent to the second maintenance staff in size order according to the priority value S.

[0104] As shown in Figure 2 , an indoor fresh air disinfection intelligent control method includes the following steps:

[0105] Step 1: Obtain the environmental parameters and device parameters of indoor and outdoor;

[0106] Step two: according to the equipment parameters to determine whether the equipment needs maintenance, and arrange the best maintenance personnel to maintain;

[0107] Step three: according to the indoor and outdoor environmental parameters, automatically adjust the operation of the whole system to reduce energy loss.

[0108] As Figure 3 Indoor fresh air disinfection intelligent control device, comprising: controller unit including controller 1.

[0109] A storage medium, the storage medium stores a computer program, the computer program is used for executing the above-mentioned one kind based on network control's new air system.

[0110] Working principle: through the setting has intelligent control module and maintenance module, can according to equipment parameters to determine whether the equipment needs maintenance, and arrange the best maintenance personnel to maintain, can save maintenance cost, simultaneously according to the indoor and outdoor environmental parameters, automatically adjust the operation of the whole system to reduce energy loss.

[0111] The above is only the preferred embodiment of the present application, the protection scope of the present application is not only limited to the above-mentioned examples, all technical solutions under the idea of the present application belong to the protection scope of the present application. It should be pointed out that, for ordinary skilled in the art, under the premise of not departing from the principle of the present application, some improvements and decorations, these improvements and decorations should also be regarded as the protection scope of the present template.

Claims

1. A network-controlled fresh air system, characterized in that, include: The intelligent device module includes a fresh air unit, a disinfection unit, and a controller unit; The data monitoring module is used to monitor and acquire indoor and outdoor environmental parameters and equipment parameters in real time. The intelligent control module includes an analysis and judgment unit and an intelligent optimization unit; The analysis and judgment unit is used to determine whether the smart device module has a fault based on the parameters obtained by the data monitoring module, specifically: The airflow rates at the vents of the fresh air unit and the disinfection unit are obtained and denoted as Q; The noise levels of the fresh air unit and the disinfection unit are obtained and denoted as W; According to the formula The fault value E of the intelligent device module is calculated, where a1 and a2 are preset fault value coefficients; A threshold value E is preset. It is determined whether the fault value E is greater than the threshold value. If it is, it is determined that the intelligent device module has a fault, and corresponding maintenance information is generated. If not, then it is determined that the smart device module is not faulty; A maintenance module is provided for maintaining the smart device module.

2. The network-controlled fresh air system according to claim 1, characterized in that, The analysis unit is used to adjust the parameters of the controller unit to reduce energy consumption based on the environmental parameters of the data monitoring module, specifically: Obtain the first judgment value of the smart device module and mark it as R; Obtain the second judgment value of the smart device module and mark it as T; Obtain the number of sensors in the data monitoring module and label it as N; According to the formula The control parameters W of the controller unit after adjustment are calculated and obtained, where Fj is a preset pressure influence coefficient, and the obtained control parameters W are input into the controller unit.

3. A network-controlled fresh air system according to claim 2, characterized in that, The first judgment value R of the smart device module is obtained in the following way: A threshold range is preset, and the environmental parameters of the data monitoring module are obtained. The obtained environmental parameters are compared with the threshold range. If the environmental parameters are less than the threshold range, the parameters are marked as low. If the environmental parameters are within the threshold range, the parameters are marked as moderate. If the environmental parameters are greater than the threshold range, the parameters are marked as high. A rule base is pre-defined. Reasoning is performed based on the rule base and the current input fuzzy set to obtain the fuzzy output value zj and the number of all fuzzy outputs M. According to the formula Calculate and obtain the first judgment value R of the smart device module.

4. A network-controlled fresh air system according to claim 2, characterized in that, The second judgment value T of the smart device module is obtained in the following way: According to the formula T=f(G\cdot f(H\cdot zj+b_1)+b_2)) The second judgment value T of the smart device module is calculated and obtained, where G and H are weight matrices (b_1) and (b_2), and (f) is the activation function.

5. A network-controlled fresh air system according to claim 1, characterized in that, The maintenance module is used to maintain the smart device module, specifically as follows: The location information of the intelligent device module is obtained. A circle with a preset radius is drawn with the location of the device as the center to obtain the maintenance radius. The staff within the maintenance radius are marked as maintenance personnel.

6. A network-controlled fresh air system according to claim 5, characterized in that, Obtain the total working hours of each maintenance worker and label it as K; Obtain the maintenance distance for each maintenance worker and label it as P; According to the formula S = Q × K1 + W × P2 The maintenance value S of the intelligent device module is calculated and obtained, where b1 and b2 are preset proportional coefficients.

7. A network-controlled fresh air system according to claim 6, characterized in that, According to the formula X = Q × C1 + W × C2 The maintenance value X of the intelligent device module is calculated and obtained, where C1 and C2 are preset proportional coefficients; The obtained maintenance value X is sent to the mobile terminal of the maintenance personnel with the highest priority value S.

8. A method for intelligent control of indoor fresh air disinfection, applicable to a network-controlled fresh air system as described in any one of claims 1 to 7, characterized in that, Includes the following steps: Step 1: Obtain indoor and outdoor environmental parameters and equipment parameters; Step 2: Determine whether the equipment requires maintenance based on its parameters, and assign the best maintenance personnel to perform the maintenance; Step 3: Based on indoor and outdoor environmental parameters, automatically adjust the operation of the entire system to reduce energy loss.

9. An intelligent control device for indoor fresh air disinfection, applicable to a network-controlled fresh air system as described in any one of claims 1 to 7, characterized in that, include: The controller unit includes a controller (1).

10. A storage medium, characterized in that, The storage medium stores a computer program for executing a network-controlled fresh air system as described in claims 1 to 7.

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