An air disinfection machine operation detection system based on artificial intelligence

Abstract

The invention relates to the field of air disinfection machines, and is used to solve the problem that insufficient coupling between gas flow and operating power of air disinfection machines during use leads to insufficient use effect. The invention specifically relates to an air disinfection machine operation detection system based on artificial intelligence. During the operation of the air disinfection machine, the invention collects electrical input parameters, and analyzes and evaluates the collected electrical parameters to ensure the stability and effectiveness of the input parameters during the operation of the air disinfection machine. When the air disinfection machine is unstable, the cause of the unstable operation of the air disinfection machine is obtained according to the power stability evaluation results and the electrical parameter stability evaluation results, the operating power fluctuation of the air disinfection machine is monitored, and the air intake of the air disinfection machine is analyzed according to the operating power fluctuation, the matching coupling between the air intake and the operating power of the air disinfection machine is judged, and the air intake is adjusted in time when the power and gas processing capacity of the air disinfection machine do not match.

Description

Technical Field

[0001] The present invention relates to the field of air disinfection machines, and in particular to an air disinfection machine operation detection system based on artificial intelligence. Background Art

[0002] In indoor air purifiers, multi-layer filters and activated carbon adsorption are the most widely used technologies. They are the most effective filtering media for pollutants such as smoke, dust and bacteria. While filtering smoke and dust particles, they simultaneously remove space odors, TVOC and other decoration pollution, and kill viruses and bacteria through plasma electric fields and photocatalyst treatment, so that various pollutants are eliminated one by one, which can effectively control space air pollution and solve the problem of preventing virus transmission.

[0003] At present, the air disinfection machines in the prior art still have some shortcomings. When the existing air disinfection machines are used, in order to ensure the disinfection and purification effect, there are various technologies such as ultraviolet rays, ionization fields and photocatalysts. Such technologies have high requirements for the matching coupling between gas flow and operating power. If the matching coupling is insufficient, the disinfection and purification effect will be greatly reduced, thereby affecting the use of the air disinfection machine.

[0004] In view of the above technical problems, this application proposes a solution. Summary of the invention

[0005] The present invention monitors the operating power fluctuation of an air disinfector, analyzes the air intake of the air disinfector according to the operating power fluctuation, determines the matching coupling between the air intake and the operating power of the air disinfector, and timely adjusts the air intake when the power and gas processing capacity of the air disinfector do not match, thereby solving the problem of insufficient use effect caused by insufficient coupling between gas flow and operating power of the air disinfector during use, and proposes an air disinfector operation detection system based on artificial intelligence.

[0006] The purpose of the present invention can be achieved through the following technical solutions:

[0007] An artificial intelligence-based air disinfection machine operation detection system includes an input detection unit, a power detection unit, an operation analysis unit, a gas control unit and an air intake detection unit;

[0008] The input detection unit can collect the operating input current and input voltage of the air disinfector, generate current and voltage judgment signals, obtain input fluctuation data through the input current and input voltage of the air disinfector, and send the input fluctuation data to the power detection unit;

[0009] The power detection unit collects the operating power of the air disinfector and obtains power fluctuation data;

[0010] The air intake detection unit collects the air intake volume of the air disinfector and sends it to the operation analysis unit;

[0011] The operation analysis unit performs a comprehensive analysis on the intake volume and power fluctuation data to generate an intake normal signal and an intake abnormal signal;

[0012] The gas control unit can obtain an intake abnormality signal and generate an intake control amount according to the power fluctuation data and the intake abnormality signal.

[0013] As a preferred embodiment of the present invention, the method for the input detection unit to generate the current and voltage judgment signal is:

[0014] The input detection unit compares the current input current and voltage with the input current and voltage obtained last time each time the input voltage and input current are obtained. The input detection unit obtains voltage fluctuation data by comparing the two input voltages, and obtains current fluctuation data by comparing the two input currents.

[0015] The input detection unit performs statistics on the voltage fluctuation data, obtains multiple consecutive voltage fluctuation data, and draws a coordinate system with time as the horizontal axis and the voltage fluctuation data as the vertical axis, marks the multiple acquired voltage fluctuation data in the coordinate system, and connects them into a voltage fluctuation line graph, and obtains a current fluctuation line graph in the same way;

[0016] The input detection unit calculates the areas of the current fluctuation graph and the voltage fluctuation graph, and records the ratio of the area of ​​the current fluctuation graph to time as the current fluctuation parameter, and records the ratio of the area of ​​the voltage fluctuation graph to time as the voltage fluctuation parameter;

[0017] The input detection unit compares the current fluctuation parameter with a preset fluctuation threshold, and generates a current abnormality signal if the current fluctuation parameter is greater than the preset fluctuation threshold;

[0018] The voltage fluctuation parameter is compared with a preset fluctuation threshold, and if the voltage fluctuation parameter is greater than the preset fluctuation threshold, a voltage abnormality signal is generated.

[0019] As a preferred embodiment of the present invention, the input detection unit uses the product of the current fluctuation parameter and the voltage fluctuation parameter as the input fluctuation data;

[0020] The input detection unit compares the input fluctuation data with a preset input fluctuation threshold, and generates an input abnormality signal if the input fluctuation data is greater than the preset input fluctuation threshold;

[0021] The input detection unit sends an input abnormality signal, a voltage abnormality signal or a current abnormality signal through a network, and the input detection unit sends input fluctuation data to the power detection unit.

[0022] As a preferred embodiment of the present invention, the power detection unit collects the operating power of the air disinfector within a preset time period and records it as the collected power. The power detection unit performs difference calculation on the collected power obtained multiple times, and records the difference between the collected power obtained twice in succession as the power fluctuation. The power detection unit sums the multiple power fluctuations, calculates the ratio of the summation result to the time, and obtains the power fluctuation data.

[0023] The power detection unit compares the power fluctuation data with a preset power fluctuation threshold, and generates a power abnormality signal if the power fluctuation data is greater than the preset power fluctuation threshold;

[0024] After generating the power abnormality signal, the power detection unit obtains the input fluctuation data through the input detection unit, and compares the input fluctuation data with the power fluctuation data. If the difference between the input fluctuation data and the power fluctuation data is within the preset range, the cause of the power abnormality signal is determined to be input abnormality; if the difference between the input fluctuation data and the power fluctuation data is outside the preset range, the cause of the power abnormality signal is determined to be operation abnormality.

[0025] As a preferred embodiment of the present invention, the air intake detection unit collects the air intake volume of the air disinfector. When collecting the air intake volume of the air disinfector, the collection is performed continuously in a preset short time period, and the air intake volume collected in the preset short time period is averaged as the average air intake volume of the time period.

[0026] As a preferred embodiment of the present invention, the operation analysis unit obtains the collected power through the power detection unit, and draws a power change curve with time as the horizontal axis according to the collected power. The operation analysis unit obtains the average intake volume through the intake detection unit, and draws the average intake volume in the same coordinate system according to the corresponding time point and the collected power to obtain an intake volume change curve;

[0027] The operation analysis unit obtains all the peak points and trough points of the intake air volume change curve, and simultaneously obtains all the peak points and trough points of the power change curve, and calculates the distance between the peak points of the intake air volume change curve and the peak points of the power change curve, and records it as the peak distance, and calculates the distance between the trough points of the intake air volume change curve and the trough points of the power change curve, and records it as the trough distance;

[0028] The operation analysis unit performs arithmetic averaging on the peak spacing and the trough spacing to obtain an average spacing. The operation analysis unit compares the average spacing with a preset threshold value. If the average spacing is less than the preset threshold value, a normal intake signal is generated. If the average spacing is not less than the preset threshold value, an abnormal intake signal is generated and sent to the gas control unit.

[0029] As a preferred embodiment of the present invention, after acquiring the abnormal intake signal, the gas control unit acquires the collected power through the power detection unit, and obtains the intake control amount by analyzing and calculating the collected power;

[0030] The gas control unit controls the amount of gas entering the air disinfector through the air intake control amount.

[0031] Compared with the prior art, the present invention has the following beneficial effects:

[0032] 1. In the present invention, during the operation of the air disinfector, the electrical input parameters are collected and analyzed and evaluated to ensure the stability and effectiveness of the input parameters during the operation of the air disinfector. At the same time, the operating power of the air disinfector is calculated. When the air disinfector is unstable, a comprehensive analysis is performed based on the power stability evaluation results and the electrical parameter stability evaluation results of the air disinfector to obtain the cause of the unstable operation of the air disinfector.

[0033] 2. In the present invention, the operating power fluctuation of the air disinfector is monitored, and the air intake of the air disinfector is analyzed according to the operating power fluctuation, the matching coupling between the air intake and the operating power of the air disinfector is judged, and the air intake is adjusted in time when the power and gas processing capacity of the air disinfector do not match, thereby ensuring the gas processing effect of the air disinfector. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0035] Figure 1 is a system block diagram of the present invention;

[0036] Figure 2 It is a system flow chart of the present invention. DETAILED DESCRIPTION

[0037] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. 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.

[0038] Embodiment 1:

[0039] See also Figure 1 - Figure 2 As shown, an air disinfection machine operation detection system based on artificial intelligence includes an input detection unit, a power detection unit, an operation analysis unit, a gas control unit and an air intake detection unit. The input detection unit can obtain the input fluctuation data of the air disinfection machine, wherein the method for obtaining the input fluctuation data is:

[0040] The input detection unit obtains the input voltage and input current of the air disinfector within a sampling time period, and the sampling time period has a preset fixed time span;

[0041] Each time the input detection unit obtains the input voltage and the input current, it compares the current input voltage with the input voltage obtained last time, and compares the current input current with the input current obtained last time. The input detection unit obtains the voltage fluctuation data by comparing the two input voltages. Similarly, the input detection unit obtains the current fluctuation data by comparing the two input currents.

[0042] The input detection unit performs statistics on the voltage fluctuation data, obtains multiple consecutive voltage fluctuation data, and draws a coordinate system with time as the horizontal axis and the voltage fluctuation data as the vertical axis, marks the multiple acquired voltage fluctuation data in the coordinate system, and connects them into a voltage fluctuation line graph. Similarly, the input detection unit adds a vertical axis of the current fluctuation data in the coordinate system, marks the multiple acquired current fluctuation data in the coordinate system, connects the current fluctuation data to obtain a current fluctuation line graph, and the starting points of the current fluctuation line graph and the voltage fluctuation line graph are both the origin of the coordinate system, and the end points of the current fluctuation line graph and the voltage fluctuation line graph are connected by a straight line perpendicular to the horizontal axis, so that the current fluctuation line graph and the horizontal axis form a closed current fluctuation graph, and the voltage fluctuation line graph and the horizontal axis form a closed current fluctuation graph;

[0043] The input detection unit calculates the areas of the current fluctuation graph and the voltage fluctuation graph, and records the ratio of the area of ​​the current fluctuation graph to time as the current fluctuation parameter, and records the ratio of the area of ​​the voltage fluctuation graph to time as the voltage fluctuation parameter;

[0044] The input detection unit uses the product of the current fluctuation parameter and the voltage fluctuation parameter as input fluctuation data;

[0045] The input detection unit compares the input fluctuation data with a preset input fluctuation threshold, and generates an input abnormality signal if the input fluctuation data is greater than the preset input fluctuation threshold, and generates an input normal signal if the input fluctuation data is not greater than the preset input fluctuation threshold;

[0046] The input detection unit compares the current fluctuation parameter with a preset fluctuation threshold value, and generates a current abnormality signal if the current fluctuation parameter is greater than the preset fluctuation threshold value, and generates a current normal signal if the current fluctuation parameter is not greater than the preset fluctuation threshold value;

[0047] Compare the voltage fluctuation parameter with the preset fluctuation threshold value, if the voltage fluctuation parameter is greater than the preset fluctuation threshold value, generate a voltage abnormal signal, if the voltage fluctuation parameter is not greater than the preset fluctuation threshold value, generate a voltage normal signal;

[0048] The input detection unit sends an input abnormality signal, a voltage abnormality signal or a current abnormality signal through the network, and issues an alarm reminder through a display device or an audible and visual alarm device.

[0049] Embodiment 2:

[0050] See also Figure 1 - Figure 2 As shown, the input detection unit sends the input fluctuation data to the power detection unit.

[0051] The power detection unit collects the operating power of the air disinfector within a preset time period and records it as the collected power. The power detection unit calculates the difference between the collected powers obtained multiple times, and records the difference between the collected powers obtained twice in succession as the power fluctuation. The power detection unit sums the multiple power fluctuations, calculates the ratio of the summation result to the time, and obtains the power fluctuation data.

[0052] The power detection unit compares the power fluctuation data with a preset power fluctuation threshold value, and generates a power abnormality signal if the power fluctuation data is greater than the preset power fluctuation threshold value, and generates a power normal signal if the power fluctuation data is not greater than the preset power fluctuation threshold value;

[0053] After generating the power abnormality signal, the power detection unit obtains the input fluctuation data through the input detection unit, and compares the input fluctuation data with the power fluctuation data. If the difference between the input fluctuation data and the power fluctuation data is within the preset range, the cause of the power abnormality signal is determined to be an input abnormality, and the input abnormality is sent to the display device through the network for display. If the difference between the input fluctuation data and the power fluctuation data is outside the preset range, the cause of the power abnormality signal is determined to be an operation abnormality.

[0054] Embodiment three:

[0055] See also Figure 1 - Figure 2As shown, the air intake detection unit collects the air intake volume of the air disinfector. When collecting the air intake volume of the air disinfector, the air intake volume is continuously collected in a preset short time period, and the air intake volume collected in the preset short time period is averaged as the average air intake volume of the time period;

[0056] The operation analysis unit obtains the collected power through the power detection unit, and draws a power change curve with time as the horizontal axis according to the collected power. The operation analysis unit obtains the average intake volume through the intake detection unit, and draws the average intake volume in the same coordinate system according to the corresponding time point and the collected power to obtain an intake volume change curve;

[0057] The analysis unit is operated to obtain all the peak points and trough points of the intake air volume change curve, and all the peak points and trough points of the power change curve are obtained at the same time, and the distance between the peak point of the intake air volume change curve and the peak point of the power change curve is calculated and recorded as the peak distance, and the distance between the trough point of the intake air volume change curve and the trough point of the power change curve is calculated and recorded as the trough distance;

[0058] The operation analysis unit performs arithmetic averaging on the peak spacing and the trough spacing to obtain an average spacing, and the operation analysis unit compares the average spacing with a preset threshold value. If the average spacing is less than the preset threshold value, an intake normal signal is generated; if the average spacing is not less than the preset threshold value, an intake abnormality signal is generated and sent to the gas control unit;

[0059] After obtaining the intake abnormality signal, the gas control unit obtains the collected power through the power detection unit, records the collected power as P, and obtains the intake control amount F, F = q(P+J), where q and J are coefficient terms.

[0060] The gas control unit controls the amount of gas entering the air disinfector through the air intake control amount F, so that the gas processing capacity of the air disinfector and the power of the air disinfector are matched to ensure the air disinfection effect.

[0061] 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 content 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 those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. An air disinfection machine operation detection system based on artificial intelligence, characterized in that: It includes an input detection unit, a power detection unit, an operation analysis unit, a gas control unit and an air intake detection unit; The input detection unit can collect the operating input current and input voltage of the air disinfector, generate current and voltage judgment signals, obtain input fluctuation data through the input current and input voltage of the air disinfector, and send the input fluctuation data to the power detection unit; The power detection unit collects the operating power of the air disinfector and obtains power fluctuation data; The air intake detection unit collects the air intake volume of the air disinfector and sends it to the operation analysis unit; The operation analysis unit performs a comprehensive analysis on the intake volume and power fluctuation data to generate an intake normal signal and an intake abnormal signal; The gas control unit can obtain an intake abnormality signal and generate an intake control amount according to the power fluctuation data and the intake abnormality signal; The input detection unit uses the product of the current fluctuation parameter and the voltage fluctuation parameter obtained by the input voltage and the input current as the input fluctuation data; The input detection unit compares the input fluctuation data with a preset input fluctuation threshold, and generates an input abnormality signal if the input fluctuation data is greater than the preset input fluctuation threshold; The input detection unit compares the current fluctuation parameter with a preset fluctuation threshold, and generates a current abnormality signal if the current fluctuation parameter is greater than the preset fluctuation threshold; The voltage fluctuation parameter is compared with a preset fluctuation threshold value, and if the voltage fluctuation parameter is greater than the preset fluctuation threshold value, a voltage abnormality signal is generated; The input detection unit sends an input abnormality signal, a voltage abnormality signal or a current abnormality signal through a network, and the input detection unit sends input fluctuation data to a power detection unit; The power detection unit collects the operating power of the air disinfector within a preset time period and records it as the collected power. The power detection unit performs difference calculation on the collected powers obtained multiple times, and records the difference between the collected powers obtained twice in succession as power fluctuation. The power detection unit sums the multiple power fluctuations, calculates the ratio of the summation result to time, and obtains power fluctuation data. The power detection unit compares the power fluctuation data with a preset power fluctuation threshold, and generates a power abnormality signal if the power fluctuation data is greater than the preset power fluctuation threshold; After generating the power abnormality signal, the power detection unit obtains the input fluctuation data through the input detection unit, and compares the input fluctuation data with the power fluctuation data. If the difference between the input fluctuation data and the power fluctuation data is within the preset range, the cause of the power abnormality signal is determined to be input abnormality; if the difference between the input fluctuation data and the power fluctuation data is outside the preset range, the cause of the power abnormality signal is determined to be operation abnormality.

2. The air disinfection machine operation detection system based on artificial intelligence according to claim 1 is characterized in that: The method for the input detection unit to generate the current and voltage judgment signal is: The input detection unit compares the current input current and voltage with the input current and voltage obtained last time each time the input voltage and input current are obtained. The input detection unit obtains voltage fluctuation data by comparing the two input voltages, and obtains current fluctuation data by comparing the two input currents. The input detection unit performs statistics on the voltage fluctuation data, obtains multiple consecutive voltage fluctuation data, and draws a coordinate system with time as the horizontal axis and the voltage fluctuation data as the vertical axis, marks the multiple acquired voltage fluctuation data in the coordinate system, and connects them into a voltage fluctuation line graph, and obtains a current fluctuation line graph in the same way; The input detection unit calculates the areas of the current fluctuation graph and the voltage fluctuation graph, and records the ratio of the area of ​​the current fluctuation graph to time as a current fluctuation parameter, and records the ratio of the area of ​​the voltage fluctuation graph to time as a voltage fluctuation parameter.

3. The air disinfection machine operation detection system based on artificial intelligence according to claim 2 is characterized in that: The air intake detection unit collects the air intake volume of the air disinfector. When collecting the air intake volume of the air disinfector, it continuously collects the air intake volume in a preset short time period, and averages the air intake volume collected in the preset short time period as the average air intake volume in the time period.

4. The air disinfection machine operation detection system based on artificial intelligence according to claim 3 is characterized in that: The operation analysis unit obtains the collected power through the power detection unit, and plots a power change curve with time as the horizontal axis according to the collected power. The operation analysis unit obtains the average intake volume through the intake detection unit, and plots the average intake volume in the same coordinate system according to the corresponding time point and the collected power to obtain an intake volume change curve. The operation analysis unit obtains all the peak points and trough points of the intake air volume change curve, and simultaneously obtains all the peak points and trough points of the power change curve, and calculates the distance between the peak points of the intake air volume change curve and the peak points of the power change curve, and records it as the peak distance, and calculates the distance between the trough points of the intake air volume change curve and the trough points of the power change curve, and records it as the trough distance; The operation analysis unit performs arithmetic averaging on the peak spacing and the trough spacing to obtain an average spacing. The operation analysis unit compares the average spacing with a preset threshold value. If the average spacing is less than the preset threshold value, a normal intake signal is generated. If the average spacing is not less than the preset threshold value, an abnormal intake signal is generated and sent to the gas control unit.

5. The air disinfection machine operation detection system based on artificial intelligence according to claim 4 is characterized in that: After obtaining the abnormal intake signal, the gas control unit obtains the collected power through the power detection unit, records the collected power as P, and obtains the intake control amount F, F = q (P + J), where q and J are coefficient terms; The gas control unit controls the amount of gas entering the air disinfector through the air intake control amount F.

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