Environment purification equipment control method and system based on Internet of Things

Abstract

The invention relates to the technical field of purification equipment regulation and control, in particular to an environment purification equipment control method and system based on the Internet of Things. According to the method, the fluctuation degree of each type of environmental data in historical driving conditions is analyzed, and the environmental influence adjustment degree of each type is obtained in combination with driving period distribution; in the current detection time period, the environmental influence is obtained by combining the change of the environmental time sequence data with the environmental influence adjustment degree, the vehicle stagnation condition is analyzed through the distribution performance of the speed time sequence data in the current detection time period, and the idle speed influence is obtained; and in combination with the environmental influence and the idle speed influence, obtaining a regulation and control coefficient to control the environmental evolution equipment. According to the method, the current environment change analysis is adjusted in combination with the sensitivity degree of the environment in historical multiple driving periods, the influence of idle speed generated by vehicle driving traffic on the environment is considered, the regulation and control coefficient obtained comprehensively is more suitable for the regulation and control degree of the environment evolution equipment, and the riding experience of passengers is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of purification equipment control, and in particular to an environment purification equipment control method and system based on the Internet of Things. Background Art

[0002] As the demand for environmental quality in public places continues to increase, the public environment conditions in buses and other transportation personnel have also become a major concern for passengers and operators. The environmental conditions are not only about air quality, but also include the comfort level of the environment. With the continuous development and advancement of Internet of Things technology, the intelligent control of bus environmental purification equipment is used to provide passengers with a safer, healthier and more comfortable riding environment.

[0003] Usually, environmental purification adjustments for the environmental conditions inside the vehicle are usually based on changes in fixed environmental data. However, the environmental changes in different regions and seasons are different, and the sensitivity of different environmental data will also change. This will cause some intelligent controls to fail to meet the current regulation needs, and it will be impossible to determine the appropriate purification intensity based on the actual conditions of the current environment. When the purification intensity is insufficient, it will lead to a poor riding experience for passengers, and when the purification intensity is always high, it will lead to excessive energy loss, which is contrary to the development concept of green energy conservation. Summary of the invention

[0004] In order to solve the technical problem that the prior art cannot determine the appropriate purification intensity according to the actual conditions of the current environment, the purpose of the present invention is to provide an environmental purification equipment control method and system based on the Internet of Things. The technical solution adopted is as follows:

[0005] The present invention provides an environment purification equipment control method based on the Internet of Things, the method comprising:

[0006] Obtain different types of environmental time series data in each driving period of the vehicle in the historical period, and obtain the vehicle's speed time series data and different types of environmental time series data in the current detection time period; the driving period is the period from a single start to shutdown of the vehicle;

[0007] In the historical period, according to the fluctuation degree of each type of environmental time series data in different driving periods and the distribution of the corresponding driving periods, the environmental impact adjustment degree of each type of environmental time series data is obtained;

[0008] In the current detection time period, according to the changes in different types of environmental time series data and the degree of environmental impact adjustment, the environmental impact of the current detection time period is obtained; according to the distribution of speed time series data in the current detection time period, the stagnation of the vehicle is analyzed to obtain the idling impact of the current detection time period;

[0009] The control coefficient at the current moment is obtained by combining the environmental impact and the idling impact during the current detection time period; and the environmental purification equipment is controlled based on the control coefficient at the current moment.

[0010] Furthermore, the method for obtaining the environmental impact adjustment degree includes:

[0011] For any type of environmental time series data, the environmental attention level of this type in each driving period is obtained according to the change amplitude and change duration between the extreme values ​​of this type of environmental time series data in each driving period;

[0012] According to the proportion of each driving period in the historical period, the driving attention of each driving period is obtained;

[0013] The environmental impact adjustment degree of the environmental time series data of this type is obtained by combining the environmental concern degree of this type in each driving period and the driving concern degree of the corresponding driving period.

[0014] Furthermore, the method for obtaining the environmental concern includes:

[0015] For any driving period in the historical period, obtain the extreme value of the environmental time series data of this type in the driving period;

[0016] The ratio of the range between each two adjacent extreme values ​​in the time series to the corresponding time interval between the extreme values ​​is taken as the variation range between each two adjacent extreme values;

[0017] The average of the change amplitudes of all two adjacent extreme values ​​in the driving period is calculated to obtain the environmental attention degree of this type in the driving period.

[0018] Furthermore, the step of combining the environmental concern degree of the type in each driving period and the driving concern degree of the corresponding driving period to obtain the environmental impact adjustment degree of the environmental time series data of the type includes:

[0019] The product of the environmental concern degree of the type in each driving period and the driving concern degree of the corresponding driving period is used as the change influence degree of the type in each driving period;

[0020] The mean value of the change impact of this type in all driving periods is normalized as the environmental impact adjustment degree of this type of environmental time series data.

[0021] Furthermore, the method for obtaining the environmental impact includes:

[0022] For any type of environmental time series data, the numerical difference between the initial environmental time series data and the final environmental time series data of the type in the current detection time period is used as the detection change of the type;

[0023] The product of the detection change amount of this type and the environmental impact adjustment degree of this type is used as the adjustment change amount of this type; the accumulated value of all types of adjustment changes is used as the environmental impact in the current detection time period.

[0024] Furthermore, the method for obtaining the idle speed impact includes:

[0025] The moment when the speed time series data in the current detection time period is zero is taken as the zero speed moment; the idle time period in the current detection time period is obtained, and the idle time period is a time period consisting of zero speed moments;

[0026] According to the proportion of the idle period and the speed change in the non-idle period, the idle impact of the current detection period is obtained;

[0027] If there is no zero-speed moment in the current detection time period, the preset idle speed influence is used as the idle speed influence of the current detection time period.

[0028] Further, the method of obtaining the idle speed impact of the current detection time period according to the proportion of the idle time period and the speed change degree in the non-idle time period includes:

[0029] In each non-idling period, the maximum speed time series data is used as the speed change of each non-idling period; the average of the speed changes of all non-idling periods is used as the running speed index of the current detection period;

[0030] The duration and value of all idle periods are used as the operation stagnation index of the current detection period;

[0031] The product of the value of the negative correlation mapping of the running speed index and the running stagnation index is used as the idling influence of the current detection time period.

[0032] Furthermore, the method for obtaining the control coefficient includes:

[0033] The environmental impact and idling impact of the current detection time period are weighted and summed, and the sum is normalized to obtain the control coefficient at the current moment.

[0034] Furthermore, the control of the environmental purification equipment based on the regulation coefficient at the current moment includes:

[0035] When the control coefficient is greater than the preset control threshold, the product of the preset maximum control amount of the environmental purification equipment and the control coefficient is used as the power control amount at the current moment; the sum of the rated power of the environmental purification equipment before the current moment and the power control amount is used as the operating power of the environmental purification equipment at the current moment;

[0036] When the control coefficient is less than or equal to the preset control threshold, the environmental purification equipment operates at rated power.

[0037] The present invention also provides an environment purification equipment control system based on the Internet of Things, including a memory and a processor, wherein the processor executes a computing program stored in the memory to implement the above-mentioned environment purification equipment control method based on the Internet of Things.

[0038] The present invention has the following beneficial effects:

[0039] The present invention obtains the environmental impact adjustment degree of each type by analyzing the fluctuation degree of each type of environmental data in the historical driving conditions and combining the distribution of driving periods. The sensitivity of the changes in the environmental time series data in multiple driving periods is used to characterize the sensitivity of each type of environmental data that needs to be paid attention to in the current environmental state, so as to accurately analyze the purification needs caused by the changes in different environmental data of the current vehicle. Further, in the current detection time period, the environmental impact is obtained by combining the changes in the environmental time series data with the environmental impact adjustment degree, reflecting the evolutionary strength required from the perspective of environmental changes. It is also further considered that the vehicle idling caused by traffic conditions, the poor filtration of harmful gases generated by idling will also bring pressure to the purification in the car. Therefore, the vehicle stagnation is analyzed by the distribution performance of the speed time series data in the current detection time period, and the idling influence is obtained, reflecting the evolutionary strength that needs to be considered from the traffic conditions of the driving road. Finally, the environmental impact and the idling influence are combined to obtain a better control coefficient for the current situation to control the environmental evolution device. The present invention combines the sensitivity of the environment in multiple historical driving periods, adjusts the current environmental change analysis, and considers the influence of the idling speed of the vehicle driving traffic on the environment, and comprehensively obtains the control coefficient that is more suitable for the control strength of the environmental evolution device, thereby improving the riding experience of passengers. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0041] Figure 1 A flow chart of a method for controlling an environmental purification device based on the Internet of Things provided by one embodiment of the present invention;

[0042] Figure 2 A flow chart of a method for obtaining an environmental impact adjustment degree provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0043] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the following is a detailed description of the specific implementation method, structure, features and effects of an environmental purification equipment control method and system based on the Internet of Things proposed by the present invention in combination with the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" does not necessarily refer to the same embodiment. In addition, specific features, structures or characteristics in one or more embodiments may be combined in any suitable form.

[0044] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0045] The following is a detailed description of a method and system for controlling an environmental purification device based on the Internet of Things provided by the present invention in conjunction with the accompanying drawings.

[0046] See also Figure 1 , which shows a flow chart of an environmental purification equipment control method based on the Internet of Things provided by an embodiment of the present invention, the method comprising the following steps:

[0047] S1: Acquire different types of environmental time series data in each driving period of the vehicle in the historical period, and acquire the vehicle's speed time series data and different types of environmental time series data in the current detection time period; the driving period is the period from a single start to shutdown of the vehicle.

[0048] In the embodiment of the present invention, various sensors are deployed in the interior space of the bus that needs to be intelligently purified to collect different types of environmental data, including temperature, humidity, PM2.5, VOCs, etc. Due to the influence of the overall external weather environment, the sensitivity to different types of environmental changes will be different at this stage. For example, the large temperature difference in autumn will make the environment more sensitive to changes in temperature data, and the rainfall in summer will make the environment more sensitive to changes in humidity data, and so on.

[0049] Therefore, it is necessary to use different types of sensors to analyze environmental data in a historical period before the current moment. In an embodiment of the present invention, the time period one week before the current moment is taken as the historical period. Since the vehicle is not always moving during the historical period, the data analysis is only performed during the vehicle driving stage. Therefore, the environmental time series data is obtained in the historical period according to the preset collection frequency, wherein the preset sampling frequency is set to once per minute, and the specific value can be adjusted by the implementer.

[0050] The driving period is the period from when the vehicle is started to when it is shut down. The starting and shutting down of the vehicle can be regarded as a complete journey of the vehicle. The data collected and analyzed are mainly within the driving time period of each journey.

[0051] In order to be able to analyze the purification intensity currently required for the vehicle, the current detection time period is set to analyze the impact of current data changes, and the purification intensity is analyzed according to the impact that the vehicle may be affected by this time period. In an embodiment of the present invention, the current detection time period is set to fifteen minutes, and environmental time series data of different types of environmental data in the current detection time period are obtained based on the sensor, as well as the speed time series data of the vehicle, to facilitate subsequent analysis of the internal environment of the vehicle and the impact of idling conditions. The specific numerical setting is not limited here.

[0052] Among them, time series data is also called time series data, which refers to a series of recorded values ​​arranged in order of timestamp size and has time characteristics. Both environmental time series data and speed time series data represent a series of related recorded data obtained at a sampling frequency over a time period.

[0053] S2: In the historical period, according to the fluctuation degree of each type of environmental time series data in different driving periods and the distribution of the corresponding driving periods, the environmental impact adjustment degree of each type of environmental time series data is obtained.

[0054] In the historical period, the degree to which each type of environmental data is prone to change reflects the difficulty of purification and regulation of environmental data during this period. In subsequent regulation, more attention is paid to environmental data that is prone to change. At the same time, the longer the duration of each vehicle driving process, the longer the vehicle needs to regulate the environment, and the environmental data changes are more represented and more reliable.

[0055] Preferably, in some possible implementations of the embodiments of the present invention, the method for obtaining the environmental impact adjustment degree can be found in Figure 2 , which shows a flow chart of a method for obtaining an environmental impact adjustment degree provided by an embodiment of the present invention, the method comprising the following steps:

[0056] S201: For any type of environmental time series data, obtain the environmental attention level of this type in each driving period according to the variation range and variation duration between extreme values ​​of this type of environmental time series data in each driving period.

[0057] Analyze the change range of each type of environmental time series data. When the change range of environmental data in the vehicle is large, it means that this type of environmental data is constantly being adjusted, affecting the passenger experience. Therefore, the more significant the change range of environmental data types, the more attention they will receive during current regulation.

[0058] Preferably, in an embodiment of the present invention, the method for obtaining environmental concern includes:

[0059] First, for any driving period in the historical period, the extreme value of the environmental time series data of this type in the driving period is obtained, and the change amplitude is reflected by the change degree characteristics between the extreme values. In the embodiment of the present invention, the environmental data curve of this type can be obtained by curve fitting the environmental time series data in the driving period, and the point on the environmental data curve where the derivative is zero is taken as the extreme value in the driving period. It should be noted that the method of obtaining extreme values ​​by curve fitting and derivative method is a public technical means well known to those skilled in the art, and the curve fitting can adopt the least squares method, etc., which will not be elaborated and limited here.

[0060] Furthermore, the ratio of the range between each two adjacent extreme values ​​in the time series to the corresponding time interval between the extreme values ​​is taken as the change amplitude of each two adjacent extreme values. The degree of change is comprehensively reflected by the numerical change between adjacent extreme values ​​and the length of the time interval. When the range between the extreme values ​​is larger, the numerical change is larger and the degree of numerical change is more significant. When the time interval between the extreme values ​​is smaller, the time difference of the change is smaller, the change is faster, and the degree of change in time is more obvious. Therefore, the larger the change amplitude is, the larger the change amplitude between the extreme values ​​is, and the more significant the change characteristics are.

[0061] Finally, the mean of the change amplitudes of all two adjacent extreme values ​​in the driving period is calculated to obtain the environmental concern of this type in the driving period. The change amplitudes between all extreme values ​​in the comprehensive period are used to characterize the significant changes in environmental data in the period. The larger the mean, the more significant the change in environmental time series data, and the higher the environmental concern should be.

[0062] S202: Obtain the driving attention of each driving period according to the proportion of each driving period in the historical periods.

[0063] For the environmental data changes in each driving period, the longer the driving period is, the richer and more diverse the environmental changes that can be reflected are, and the higher the reference value is. In addition, the longer the driving period is, the higher the reliability of the change analysis is. Therefore, in the embodiment of the present invention, the ratio of the time length of each driving period to the total time length of the historical period is used as the driving attention of each driving period. The greater the driving attention, the more important the environmental change analysis in this driving period is.

[0064] S203: Obtain the environmental impact adjustment degree of the environmental time series data of this type by combining the environmental concern degree of this type in each driving period and the driving concern degree of the corresponding driving period.

[0065] By adjusting driving focus, the analysis of environmental data changes can be made more reliable, and can more accurately reflect the sensitivity of environmental changes in historical periods. The more significant the changes in environmental types, the more likely they are to be the types that need to be adjusted to improve the riding experience at the current environmental stage. Therefore, more impact attention needs to be paid in subsequent regulatory demand analysis.

[0066] Preferably, in an embodiment of the present invention, the method for obtaining the environmental impact adjustment degree includes:

[0067] The product of the environmental concern of this type in each driving period and the driving concern of the corresponding driving period is taken as the change impact of this type in each driving period. The reliability of the environmental concern is adjusted by the driving concern. When the driving concern of this type in the driving period is higher and the environmental concern is greater, it means that the environmental change of this type is more significant, so the change impact is higher.

[0068] Then, the mean of the impact of changes in this type of driving period is normalized as the environmental impact adjustment degree of this type of environmental time series data. The overall impact of changes in this type of environment in the historical period is considered. The greater the impact of the change, the higher the environmental sensitivity, and more attention is paid to the changes in this type of environmental data in the current analysis.

[0069] It should be noted that normalization is a technical means well known to those skilled in the art, and the normalization method may be linear normalization or standard normalization, etc. The specific normalization method is not limited here.

[0070] S3: In the current detection time period, according to the changes in different types of environmental time series data and the degree of environmental impact adjustment, the environmental impact of the current detection time period is obtained; according to the distribution of speed time series data in the current detection time period, the stagnation of the vehicle is analyzed to obtain the idling impact of the current detection time period.

[0071] For the internal environment of the car, the environmental purification equipment needs to ensure that the purification force meets the requirements without excessive operating power to maintain stable air quality inside the car. However, when environmental factors are greatly changed, the air quality will be damaged. For example, in rainy seasons, as passengers get on the car, more rain will be brought into the vehicle. At this time, the environmental humidity rises significantly. If the purification equipment is not powerful enough, it is easy to cause a humid environment, which is easy to produce odors that affect the riding experience, or accelerate the service life of metal parts in the car, etc. Therefore, the regulation of environmental purification equipment needs to pay attention to changes in environmental data.

[0072] In addition, the impact of idling caused by traffic congestion is also taken into account. Idle refers to a state in which the engine is running at no load, and the vehicle's motion is stagnant. The idle state provides convenience for various driving or temporary parking situations, such as waiting for a red light or stopping at a platform, etc., which can prevent the engine from stalling and play a role in energy conservation and emission reduction. However, long-term idling may also have an adverse effect on the vehicle and passengers. For example, idling for too long will cause carbon deposits in the car and affect engine performance. At the same time, harmful gases in the exhaust gas may enter the car through the intake system when idling, affecting the health of passengers. Therefore, the regulation of environmental purification equipment also needs to pay attention to the impact of the idle state.

[0073] Preferably, in an embodiment of the present invention, the method for obtaining environmental impact includes:

[0074] For any type of environmental time series data, the numerical difference between the initial environmental time series data and the ending environmental time series data of this type in the current detection time period is used as the detection change of this type. The degree of change of the environmental data before and after the entire time period reflects the degree to which the environmental data is adjusted in this time period. The larger the detection change, the more the degree of adjustment needs to be improved in the car.

[0075] The product of the detection change of this type and the environmental impact adjustment degree of this type is further used as the adjustment change of this type. The degree to which each type of environmental data needs to be adjusted is determined by combining the degree to which each type of attention needs to be paid and the change reflected in the detection time period.

[0076] Finally, the accumulated value of all types of adjustment changes is taken as the environmental impact during the current detection time period. By combining all types, the degree to which the air quality is affected under environmental analysis is reflected, and the degree to which the purification equipment needs to be adjusted is characterized.

[0077] Preferably, in an embodiment of the present invention, the method for obtaining the idle speed impact includes:

[0078] First, the moment when the speed time series data in the current detection time period is zero is taken as the zero-speed moment, and the idle period in the current detection time period is obtained. The idle period is a time period composed of zero-speed moments. In the detection time period, when the speed appears to be zero, it means that the vehicle has temporarily stagnated. The purification intensity is likely to decrease due to the incomplete combustion of the engine, resulting in a decrease in air quality. Therefore, the idle period is obtained to analyze the impact of the stagnation situation.

[0079] Furthermore, based on the proportion of idle time periods and the degree of speed change in non-idle time periods, the idling impact of the current detection time period is obtained. In heavy traffic, the vehicle will remain stagnant for a short period of time and will also travel at a lower speed when started. At this time, it is very likely that more harmful gases will be produced. If the environmental purification equipment is not powerful enough, it will affect the air quality inside the vehicle.

[0080] Therefore, in the embodiment of the present invention, in each non-idling period, the maximum speed time series data is used as the speed change amount of each non-idling period to reflect the speed of the vehicle when the running state exists. The lower the maximum speed change, the worse the road condition and the more significant the vehicle idling situation. The average of the speed change amounts of all non-idling periods is used as the running speed index of the current detection time period, and the speed changes of all non-stagnant situations are integrated to reflect the impact of the running part.

[0081] The time lengths and values ​​of all idling periods are further used as the operation stagnation index of the current detection time period. The longer the stagnation time, the greater the impact.

[0082] Finally, the product of the negatively correlated value of the running speed index and the running stagnation index is taken as the idling influence of the current detection time period. When the running speed index is smaller, it means that the overall running state in the current detection time period is worse, and the impact on the air generated in the car is greater. When the running stagnation index is larger, it means that the stagnation state in the current detection time period is longer, and the impact on the air in the car is greater, so the idling influence is greater.

[0083] In addition, if there is no zero-speed moment in the current detection time period, it means that the vehicle has not entered a stagnant state at this stage, and its impact analysis is extremely small. The preset idle speed impact is used as the idle speed impact of the current detection time period. In an embodiment of the present invention, the preset idle speed impact is set to 0.1, and the specific value can be adjusted by the implementer.

[0084] So far, the possible impacts on the vehicle's internal environment have been analyzed from two aspects: environmental data and vehicle operation.

[0085] S4: combining the environmental impact and idling impact of the current detection time period to obtain the control coefficient at the current moment; and controlling the environmental purification equipment based on the control coefficient at the current moment.

[0086] According to the degree to which the current air quality inside the vehicle may be affected, the environmental purification equipment is adjusted to ensure the reliability of the purification force and to maintain the air quality inside the vehicle at a better level. Therefore, the control coefficient at the current moment is obtained by comprehensively considering the environmental impact and idling impact.

[0087] Preferably, in an embodiment of the present invention, a method for obtaining a control coefficient includes:

[0088] The environmental impact and idling impact of the current detection time period are weighted and summed, and the sum is normalized to obtain the control coefficient at the current moment. The degree of the final adjustment required is obtained by weighted summing the impact of the comprehensive environmental impact and idling impact. As an example, the expression of the control coefficient is:

[0089] P = norm(K 1 ×Z+K 2 ×Y); where P represents the control coefficient, Z represents the environmental impact, Y represents the idling impact, norm() represents the normalization function, and K 1 and K 2 Expressed as weight, in the embodiment of the present invention, K 1 and K 2 They are set to 0.7 and 0.3 respectively, and the specific values ​​can be adjusted by implementers according to the specific implementation scenarios.

[0090] The power of the environmental purification equipment can be controlled by the control coefficient. In an embodiment of the present invention, when the control coefficient is greater than the preset control threshold, it means that the degree of control required through impact analysis is large. The product of the preset maximum adjustment amount of the environmental purification equipment and the control coefficient is used as the power adjustment amount at the current moment. The sum of the rated power of the environmental purification equipment before the current moment and the power adjustment amount is used as the operating power of the environmental purification equipment at the current moment, thereby increasing the environmental purification equipment.

[0091] When the control coefficient is less than or equal to the preset control threshold, it means that the air quality is not greatly affected, and a higher purification intensity is not required, and the environmental purification equipment operates at rated power. In the embodiment of the present invention, the preset control threshold is set to 0.3, and the implementer can adjust its value according to the specific implementation scenario, which is not limited here.

[0092] It should be noted that, in order to facilitate calculation, all indicator data involved in the calculation in the embodiment of the present invention are preprocessed to eliminate the dimension effect. The specific means of eliminating the dimension effect are technical means well known to those skilled in the art and are not limited here.

[0093] The present invention obtains the environmental impact adjustment degree of each type by analyzing the fluctuation degree of each type of environmental data in the historical driving conditions and combining the distribution of driving periods. The sensitivity of the changes in the environmental time series data in multiple driving periods is used to characterize the sensitivity of each type of environmental data that needs to be paid attention to in the current environmental state, so as to accurately analyze the purification needs caused by the changes in different environmental data of the current vehicle. Further, in the current detection time period, the environmental impact is obtained by combining the changes in the environmental time series data with the environmental impact adjustment degree, reflecting the evolutionary strength required from the perspective of environmental changes. It is also further considered that the vehicle idling caused by traffic conditions, the poor filtration of harmful gases generated by idling will also bring pressure to the purification in the car. Therefore, the vehicle stagnation is analyzed by the distribution performance of the speed time series data in the current detection time period, and the idling influence is obtained, reflecting the evolutionary strength that needs to be considered from the traffic conditions of the driving road. Finally, the environmental impact and the idling influence are combined to obtain a better control coefficient for the current situation to control the environmental evolution device. The present invention combines the sensitivity of the environment in multiple historical driving periods, adjusts the current environmental change analysis, and considers the influence of the idling speed of the vehicle driving traffic on the environment, and comprehensively obtains the control coefficient that is more suitable for the control strength of the environmental evolution device, thereby improving the riding experience of passengers.

[0094] The present invention also provides an environment purification equipment control system based on the Internet of Things, including a memory and a processor, wherein the processor executes a computing program stored in the memory to implement the above-mentioned environment purification equipment control method based on the Internet of Things.

[0095] It should be noted that the sequence of the above embodiments of the present invention is only for description and does not represent the advantages and disadvantages of the embodiments. The processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0096] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from other embodiments.

Claims

1. A method for controlling environmental purification equipment based on the Internet of Things, characterized in that: The method comprises: Obtain different types of environmental time series data in each driving period of the vehicle in the historical period, and obtain the vehicle's speed time series data and different types of environmental time series data in the current detection time period; the driving period is the period from a single start to shutdown of the vehicle; In the historical period, according to the fluctuation degree of each type of environmental time series data in different driving periods and the distribution of the corresponding driving periods, the environmental impact adjustment degree of each type of environmental time series data is obtained; In the current detection time period, according to the changes in different types of environmental time series data and the degree of environmental impact adjustment, the environmental impact of the current detection time period is obtained; according to the distribution of speed time series data in the current detection time period, the stagnation of the vehicle is analyzed to obtain the idling impact of the current detection time period; The control coefficient at the current moment is obtained by combining the environmental impact and the idling impact during the current detection time period; and the environmental purification equipment is controlled based on the control coefficient at the current moment.

2. According to the Internet of Things-based environmental purification equipment control method of claim 1, it is characterized in that: The method for obtaining the environmental impact adjustment degree includes: For any type of environmental time series data, the environmental attention level of this type in each driving period is obtained according to the change amplitude and change duration between the extreme values ​​of this type of environmental time series data in each driving period; According to the proportion of each driving period in the historical period, the driving attention of each driving period is obtained; The environmental impact adjustment degree of the environmental time series data of this type is obtained by combining the environmental concern degree of this type in each driving period and the driving concern degree of the corresponding driving period.

3. According to claim 2, a method for controlling an environmental purification device based on the Internet of Things is characterized in that: The method for obtaining the environmental concern degree includes: For any driving period in the historical period, obtain the extreme value of the environmental time series data of this type in the driving period; The ratio of the range between each two adjacent extreme values ​​in the time series to the corresponding time interval between the extreme values ​​is taken as the variation range between each two adjacent extreme values; The average of the change amplitudes of all two adjacent extreme values ​​in the driving period is calculated to obtain the environmental attention degree of this type in the driving period.

4. According to claim 2, a method for controlling an environmental purification device based on the Internet of Things is characterized in that: The step of combining the environmental concern degree of the type in each driving period and the driving concern degree of the corresponding driving period to obtain the environmental impact adjustment degree of the environmental time series data of the type includes: The product of the environmental concern degree of the type in each driving period and the driving concern degree of the corresponding driving period is used as the change influence degree of the type in each driving period; The mean value of the change impact of this type in all driving periods is normalized as the environmental impact adjustment degree of this type of environmental time series data.

5. According to the Internet of Things-based environmental purification equipment control method of claim 1, it is characterized in that: The method for obtaining the environmental impact includes: For any type of environmental time series data, the numerical difference between the initial environmental time series data and the final environmental time series data of the type in the current detection time period is used as the detection change of the type; The product of the detection change amount of this type and the environmental impact adjustment degree of this type is used as the adjustment change amount of this type; the accumulated value of all types of adjustment changes is used as the environmental impact in the current detection time period.

6. According to the Internet of Things-based environmental purification equipment control method of claim 1, it is characterized in that: The method for obtaining the idle speed impact includes: The moment when the speed time series data in the current detection time period is zero is taken as the zero speed moment; the idle time period in the current detection time period is obtained, and the idle time period is a time period consisting of the zero speed moments; According to the proportion of the idle period and the speed change in the non-idle period, the idle impact of the current detection period is obtained; If there is no zero-speed moment in the current detection time period, the preset idle speed influence is used as the idle speed influence of the current detection time period.

7. According to claim 6, a method for controlling an environmental purification device based on the Internet of Things is characterized in that: The method of obtaining the idle speed impact of the current detection time period according to the proportion of the idle time period and the speed change in the non-idle time period includes: In each non-idling period, the maximum speed time series data is used as the speed change of each non-idling period; the average of the speed changes of all non-idling periods is used as the running speed index of the current detection period; The duration and value of all idle periods are used as the operation stagnation index of the current detection period; The product of the negatively correlated value of the running speed index and the running stagnation index is used as the idling influence of the current detection time period.

8. According to the Internet of Things-based environmental purification equipment control method of claim 1, it is characterized in that: The method for obtaining the control coefficient includes: The environmental impact and idling impact of the current detection time period are weighted and summed, and the sum is normalized to obtain the control coefficient at the current moment.

9. According to the Internet of Things-based environmental purification equipment control method of claim 1, it is characterized in that: The control of the environmental purification equipment based on the regulation coefficient at the current moment includes: When the control coefficient is greater than the preset control threshold, the product of the preset maximum control amount of the environmental purification equipment and the control coefficient is used as the power control amount at the current moment; the sum of the rated power of the environmental purification equipment before the current moment and the power control amount is used as the operating power of the environmental purification equipment at the current moment; When the control coefficient is less than or equal to the preset control threshold, the environmental purification equipment operates at rated power.

10. An environmental purification equipment control system based on the Internet of Things, comprising a memory and a processor, characterized in that: The processor executes the computing program stored in the memory to implement an Internet of Things-based environmental purification equipment control method as described in any one of claims 1-9.

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