CN113641491B - 5G air disinfection edge calculation method and system - Google Patents
5G air disinfection edge calculation method and system Download PDFInfo
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- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
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- F24F3/00—Air-conditioning systems in which conditioned primary air is supplied from one or more central stations to distributing units in the rooms or spaces where it may receive secondary treatment; Apparatus specially designed for such systems
- F24F3/12—Air-conditioning systems in which conditioned primary air is supplied from one or more central stations to distributing units in the rooms or spaces where it may receive secondary treatment; Apparatus specially designed for such systems characterised by the treatment of the air otherwise than by heating and cooling
- F24F3/16—Air-conditioning systems in which conditioned primary air is supplied from one or more central stations to distributing units in the rooms or spaces where it may receive secondary treatment; Apparatus specially designed for such systems characterised by the treatment of the air otherwise than by heating and cooling by purification, e.g. by filtering; by sterilisation; by ozonisation
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Abstract
The invention relates to a 5G air disinfection edge calculation method and a system, wherein the method comprises the following steps of 100: the cloud service center issues an air disinfection strategy to the 5G edge computing box on the end side; step 200: and the 5G edge calculation box calculates according to real-time data and the like to obtain a proper air disinfection strategy and controls corresponding air disinfection equipment to implement actual air disinfection. The method can realize safe and effective online air disinfection in human environment, has intelligent control, improves the utilization rate of equipment and reduces the energy consumption.
Description
[ technical field ] A method for producing a semiconductor device
The invention belongs to the field of air disinfection, and particularly relates to a 5G online air disinfection method and system.
[ background of the invention ]
With the continuous concern of health, air disinfection will become an important infrastructure in the future, and at present, the air disinfection of 99 percent of indoor spaces, including public spaces, is lack of human and machine coexistence, and the air disinfection basically depends on ventilation or disinfectant water spraying. However, ventilation is inconvenient in many spaces, or ventilation (including a fresh air system) causes energy consumption increase when an air conditioner is turned on in summer and winter, so that an air disinfection system with human environment and man-machine coexistence is the choice of most places.
At present, ionization technologies, including high-voltage static, plasma, negative oxygen ion, photocatalysis and other technologies, are mostly adopted in air disinfection technologies, such technologies can achieve air disinfection better, but are not necessarily suitable for any place and any working state, the generation of ozone will be the core, ionization technology is considered to be mature technology after new growth according to the U.S. CDC, but air disinfection for new growth is an emerging technology, the core of the method is ozone control, the overproof ozone is rejected, the generation of the ozone is complex, the ozone exists in different seasons and places, ozone-based air disinfection control is necessary, and humidity is also a critical factor, since all ionization techniques are high voltage techniques, it is assumed that above 90% RH there will be a potential safety hazard of sparking. In a second aspect, excessive disinfection is also a waste in view of the large direction of national carbon neutralization. In addition, it is necessary to adopt different disinfection strategies according to the environmental parameters of the site, namely how to seek an adaptive disinfection strategy; the existing disinfection strategies are relatively simple, even in the face of regular environmental changes, such as every saturday, effective changes are difficult to make, or the changes are based on the cost of doubling the complexity of the strategies, the disinfection target may also be difficult to achieve or at the cost of transition disinfection, and in the third aspect, the fine-grained control strategy in the prior art is single in optimization target, so that the stability of equipment is neglected, and the equipment is repeatedly adjusted. Fourth, with the development of the 5G technology, the fast transmission efficiency of large data volume is very high, so the cloud can transmit more information, can transmit information at a higher frequency, and also puts forward a requirement on the computation complexity of the cloud; how to provide an efficient disinfection strategy calculation method to effectively and adaptively control by utilizing the interaction capability and data resources of the cloud and locally limited storage and calculation resources is also a problem to be solved; the invention can adaptively calculate the differential environment covered by the calculating box under the support of big data, and obtain the optimal disinfection strategy; based on the key point data sequence, discrete and continuous efficiency is adopted, and the disinfection strategy is quickly and accurately screened under the condition that the stability of the equipment is considered from the electrical characteristic data of the equipment; in conclusion, the invention can realize safe and effective online air disinfection in human environment, has intelligent control, improves the utilization rate of equipment and reduces the energy consumption.
[ summary of the invention ]
In order to solve the above problems in the prior art, the present invention provides an air sterilization method and system for a central air conditioning system.
The technical scheme adopted by the invention is as follows:
step 100: the cloud service center issues an air disinfection strategy to the 5G edge computing box on the end side;
step 200: and the 5G edge calculation box calculates according to real-time data and the like to obtain a proper air disinfection strategy and controls corresponding air disinfection equipment to implement actual air disinfection.
Further, online disinfection strategy dynamic adaptation is supported;
further, the step 200 specifically includes: the 5G edge computing box has environment detection capability, and a proper air disinfection strategy is obtained by computing according to real-time data of temperature, humidity, carbon dioxide concentration, ozone concentration and the like.
Further, the method comprises the step 300: the 5G edge calculation box has air quality detection capability, implements detection air quality data, and judges whether the current air disinfection strategy needs to be adjusted.
Further, the method also comprises the step 400: and the 5G edge computing box synchronously reports the environment detection data, the air quality monitoring data, the equipment voltage and current data, the air disinfection execution strategy data and the like to the cloud service center in real time.
The utility model provides a 5G online air disinfection system, its characterized in that, including the online air disinfection equipment of 5G air disinfection edge computing box of high in the clouds server, distal end and possessing environmental quality detection and air quality detection ability, 5G air disinfection edge computing box controllable, 5G air disinfection edge computing box and high in the clouds server have remote communication and connect for disinfection tactics's receipt, relevant environmental data, air quality data, online disinfection equipment electrical data's upload, 5G online air disinfection system is used for carrying out above-mentioned method.
Further, the air quality data includes PM1.0, PM2.5, PM10, formaldehyde, benzene, TVOC, ammonia, hydrogen sulfide, negative oxygen ions, and the like.
Furthermore, the cloud service center needs to have an initial disinfection strategy, and issues corresponding disinfection strategies according to different buildings such as airports, subways, hospitals, schools, buildings, families and the like.
Further, sterilization strategies are applied to different environments, and the edge computing box collects the environmental data and extracts environmental features from the environmental data.
Further, the environmental characteristics are significance data obtained based on the environmental data, can represent the characteristics of the environment itself optimally, and can quickly reflect the change of the environment.
The invention has the beneficial effects that: (1) under the support of big data, adaptive calculation is carried out on the differential environment covered by the calculation box, and the optimal disinfection strategy is obtained; (2) through edge calculation, the disinfection equipment in the coverage range of the edge calculation box can be subjected to minimum adjustment based on the comprehensive result of the environmental effect, and the overall optimal adjustment effect is obtained; (3) the method for determining the set and splitting the optimization combines non-quantitative query acquisition and splitting and quantization comparison, avoids the possibility of selecting a local optimal strategy and a non-optimal strategy, and fully considers multi-dimensional tracking data to improve the accuracy of strategy selection; (4) based on the key point data sequence, discrete and continuous efficiency is adopted, and the disinfection strategy is rapidly and accurately screened from the electrical characteristic data of the equipment under the condition of considering the stability of the equipment; in conclusion, the invention can realize safe and effective online air disinfection in human environment, has intelligent control, improves the utilization rate of equipment and reduces the energy consumption.
[ description of the drawings ]
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, and are not to be considered limiting of the invention, in which:
FIG. 1 is an architectural diagram of a 5G air disinfecting edge computing system of the present invention.
FIG. 2 is an architectural diagram of the 5G air disinfection margin calculation method of the present invention.
[ detailed description ] embodiments
The present invention will now be described in detail with reference to the drawings and specific embodiments, wherein the exemplary embodiments and descriptions are provided only for the purpose of illustrating the present invention and are not to be construed as limiting the present invention.
The invention relates to an indoor air disinfection system of a human environment, which can reduce possible virus cross infection of infectious viruses, the online air disinfection of the human environment is just needed, in order to realize the air disinfection of the human environment, ionization technologies such as high-voltage static electricity, plasma, photocatalysis, ultraviolet rays and the like are mostly adopted, the use of the technologies needs to consider factors such as ozone generation, environment humidity, even personnel density and the like, the system utilizes 5G edge calculation number to calculate the end side of environment data and disinfection equipment electrical data, the calculation amount of a cloud system is reduced, an air disinfection strategy suitable for the end side actual environment is calculated more quickly and accurately, the air disinfection equipment is controlled to implement, and the safe and effective air disinfection of the human environment is realized. In the prior art, the fine-grained control strategy neglects the stability of the equipment due to a single optimization target, so that the equipment is repeatedly adjusted, and a disinfection target may be difficult to achieve or at the cost of transition disinfection. With the development of the 5G technology, the fast transmission efficiency of large data volume is high, so that the cloud can transmit more information, the information can be transmitted at a higher frequency, meanwhile, requirements are provided for the calculation complexity of the cloud, if the cloud calculation is too complex, the cloud calculation is likely to be performed from a communication card neck to a calculation card neck, the online service is similar to a nominal service, and the usability of strategy issuing supported by the cloud is also reduced; the invention does not limit the specific air disinfection equipment, and technicians in the field can adopt the corresponding air disinfection equipment according to specific requirements and issue an effective strategy based on cloud support in a mode of combining discrete continuous calculation, inquiry and quantitative calculation;
as shown in figure 1: the 5G air disinfection edge computing system comprises a cloud server and an end side 5G edge computing box, wherein the cloud and the end side can be connected in a non-distance mode through a 5G network, and the cloud can support the end side of millions or even tens of millions in principle. The cloud server is responsible for overall system connection, and ensures that bidirectional communication between the cloud side and the end side is maintained, data is received, data analysis and disinfection strategies are issued as required.
The 5G edge computing box with the environment detection capability and the air quality detection capability supports an air disinfection strategy to complete computation and execution locally, and reduces big data interaction with a cloud server; the cloud server has the capability of issuing a disinfection strategy, receiving field air quality, environmental parameters and electrical parameters, and further has the capability of optimizing the disinfection strategy;
preferably: the 5G edge computing box with the environment detection capability and the air quality detection capability supports an air disinfection strategy to complete partial computation and execution locally, and reduces big data interaction with a cloud server;
preferably: the edge computing box also supports the capability of fusing new acquisition factors, including but not limited to discrimination of field personnel intensity such as field audio and video recognition and the like, and power-assisted disinfection strategy optimization;
the 5G air disinfection edge calculation box at the end side has local calculation capacity, environment detection capacity and air quality detection capacity, and realizes control of air disinfection equipment according to a disinfection strategy. The 5G air disinfection edge computing box keeps communication with the cloud in addition to execution of local disinfection, and uploads related data on the end side to the cloud so as to further optimize disinfection strategies, report field alarms, and transmit and the like through the cloud.
Based on the structure of the 5G air disinfection edge calculation system, as shown in fig. 2, the 5G air disinfection edge calculation method specifically includes the following steps:
step 100: the cloud service center issues a 5G edge calculation box at the end side according to a pre-established air disinfection strategy, the strategy depends on the actual situation of a plurality of field environment data, and the corresponding implemented air disinfection strategy is obtained through calculation, wherein the air disinfection strategy can be that air disinfection is not started, air disinfection is closed, and an air disinfection mode, power, electric appliance parameters and the like are adjusted;
the 5G edge calculation box is provided with a disinfection coverage area and can control air disinfection equipment in the coverage area based on a disinfection strategy, and equipment parameters and a working mode are continuously adjusted along with the change of the environment by adjusting the air disinfection equipment in the coverage area, so that the edge calculation box is suitable for the current environment and tries to achieve the optimal disinfection effect; that is to say that the strategy is directed to one or more disinfection apparatus, it is in fact rather difficult to adapt a plurality of disinfection apparatus by means of the prior art, involving various factors, such as: the function range, the function capability and the like of the equipment, but by means of cloud computing, a comprehensive adjusting mode under a plurality of disinfection equipment environments is obtained by obtaining other successful use modes, so that other successful use modes, namely air disinfection strategies (namely adjusting strategies) are issued; one possible way is: the strategy is the total electrical parameters that the multiple disinfection devices need to achieve;
alternatively: the disinfection strategy is an electrical parameter adjustment matrix based on detection data and monitoring data feedback, each tuple in the adjustment matrix sets an electrical parameter level required to be reached by the independent disinfection equipment, and the electrical parameter level required to be reached is distributed according to the current working mode and equipment capacity of the disinfection equipment;
when a disinfection strategy is implemented, if the working mode of the disinfection equipment needs to be changed, the current electric parameter level of the disinfection equipment is compared with an adjustment matrix given by the disinfection strategy, and a control mode is obtained through comparison, so that the required adjustment is minimum under the condition of meeting the self working capacity limit of the disinfection equipment; then, when the control mode is implemented by the disinfection equipment, the corresponding working mode is searched according to the electrical parameter level required to be reached, and the working mode is adjusted, so that the differential adjustment based on the whole detection data of the environment is realized;
preferably, the following components: constructing a quantitative strategy buffer pool to avoid strategy replacement oscillation; the depth of the strategy buffer pool is N;
the disinfection strategy is an adaptive strategy, and a variable control mode can be given according to the guidance of a set strategy;
specifically, the cloud service center needs to construct a bidirectional real-time communication architecture with the end side, so that a disinfection strategy of the cloud can be timely issued to the 5G edge computing box on the end side, the cloud service center needs to have an initial disinfection strategy, and corresponding disinfection strategies are issued according to different buildings such as airports, subways, hospitals, schools, buildings, families and the like.
Step 200: the 5G edge calculation box has the environment detection capability, calculates according to real-time data of temperature, humidity, carbon dioxide concentration, ozone concentration and the like to obtain a proper air disinfection strategy, and controls corresponding air disinfection equipment to implement actual air disinfection;
specifically, the 5G edge computing box at the end side can collect real-time field environment indexes, the 5G edge computing box needs to have local computing capability, and can compare disinfection strategies issued by the cloud, and then execute corresponding disinfection strategies according to local computing results
Step 300: the 5G edge calculation box has air quality detection capability, detects air quality data such as PM1.0, PM2.5, PM10, formaldehyde, benzene, TVOC, ammonia, hydrogen sulfide, negative oxygen ions and the like, further calculates the data with data such as environmental data temperature, humidity, carbon dioxide, ozone and the like, judges whether the current air disinfection strategy needs to be adjusted, and controls corresponding air disinfection equipment to implement actual air disinfection if the current air disinfection strategy does need to be adjusted;
specifically, the 5G edge calculation box on the end side needs to have a real-time air detection capability, acquire an indoor actual air index for executing an air disinfection strategy, combine with an electrical index comprehensive local calculation of an air disinfection device, determine whether to adjust a field disinfection strategy according to a time stage, and adjust both a specific interval time and a disinfection strategy, specifically including the following steps:
step 310: firstly, analyzing environmental ozone data L (O3), wherein L (O3) is used as the highest priority index, and according to the principle that if L (O3) > Level3, all air disinfection equipment is closed, if the Level2< L (O3) < Level3, the environmental humidity L (H) needs to be analyzed, and if the Level2< L (O3) < Level3) & L (H) > 90% RH, part of disinfection equipment is closed, or the power of the part of disinfection equipment is reduced; if the L (O3) is greater than Level3, closing the corresponding disinfection equipment, and informing maintenance personnel of on-site inspection in real time;
specifically, whether air sterilization can be started or not is determined according to the background value of the on-site ozone, so that discomfort of personnel caused by the fact that the on-site ozone exceeds the standard due to the overhigh background value is avoided. Secondly, the combination of ozone and ambient relative humidity determines the intensity of air disinfection.
Step 320: if (L (O3) < Level3& (L (H) < 90% RH), a corresponding disinfection strategy is adopted, whether a control mode given by the disinfection strategy needs to be changed is determined according to air quality data fed back by the strategy validity period, and step 330, micro current data L (C) are analyzed, specifically, the safe working state of the air disinfection equipment is analyzed according to the electrical parameters of the air disinfection equipment controlled by the 5G edge computing box, once dangerous condition is determined, an alarm is given out, manual intervention is carried out, the safe working of the whole system is ensured, and meanwhile, maintenance reminding is sent out according to the accumulated micro current data, the accumulated working time and historical particulate matter data Fx (T, C, PM) in a gathering and analyzing mode.
Preferably: the air quality data comprises PM1.0, PM2.5, PM10, formaldehyde, benzene, TVOC, ammonia, hydrogen sulfide, negative oxygen ions and the like;
specifically, after the air sterilization strategy is executed, whether the control mode given by the sterilization strategy needs to be changed or not can be determined regularly according to the actual air sterilization effect, namely the actual indoor air quality, and the combination of environmental parameters and the like;
preferably: the policy validity period is 30 minutes;
alternatively: the policy expiration date is policy dependent, and the policy expiration dates for different disinfection policies are different;
step 400: the 5G edge computing box synchronously reports environment detection data, air quality monitoring data, equipment voltage and current data, air disinfection execution strategy data and the like to the cloud service center in real time:
specifically, the 5G edge computing box at the end side also needs to have a bidirectional communication capability with the cloud end, and report related environmental parameters, air indexes, electrical parameters of the disinfection device and alarm information in real time, so that related personnel can be notified in real time to intervene when an alarm is required.
Step 500: the cloud service tracks the data for a long time, determines whether a disinfection strategy needs to be changed after big data analysis, if the disinfection strategy needs to be changed, issues a new disinfection strategy to the cloud, automatically downloads the new disinfection strategy to all front-end 5G edge computing boxes, and starts a new disinfection strategy on site.
The method for determining whether the disinfection strategy needs to be changed or not after the big data analysis specifically comprises the following steps:
step S1: acquiring tracking data such as environment detection data, air quality monitoring data, equipment voltage and current data, air disinfection execution strategies and the like, and acquiring environment data applied by the strategies;
step S2: extracting environmental feature data based on the environmental data; for example: the strategy is applied to the market, and the extracted environmental characteristic data is as follows: public places, area sizes, personnel density, etc.; when the environmental characteristic data is changed, the possibility of strategy failure is high;
step S3: comparing the current environmental characteristic data with recent historical environmental characteristic data to determine whether the environment changes, if so, locally searching a disinfection strategy matched with the current historical environmental characteristic data in the 5G edge computing box and applying the disinfection strategy; otherwise, entering the next step;
the 5G edge computing box stores the latest N disinfection strategies which are stored in the computing box by adopting a first-in first-out strategy based on the use frequency; the use of the environment often has certain temporal characteristics, such as: the people stream density on the saturday of the market is higher, and then the limited storage space of the computing box can be used for storing some regularity strategies which are possibly applied by adopting the environment data matching mode; but for special dates, for example: the date is not recorded in a conventional false calendar and does not belong to regular environmental change, and the strategy stored locally can possibly play a role under the condition that the environmental characteristic does not change greatly through the storage of the strategy, but when the change of the environmental characteristic exceeds a preset range, a cloud end can search for a better strategy while temporarily using a local closer strategy;
preferably: the value of N can be set in a writable mode, and the value and the environment change rule of N are set to be related to the storage capacity of the 5G edge computing box;
step S4, acquiring a matched disinfection strategy set based on the extracted environmental characteristic data at the cloud;
step S5: extracting a key data point sequence in the tracking data, simulating each disinfection strategy in the disinfection strategy set based on the key data point sequence, and obtaining a simulation result; comparing the simulation results and selecting an optimal disinfection strategy; comparing the simulation results of the optimal sterilization strategy with the tracking data to determine whether a sterilization strategy needs to be modified;
the extracting of the key data point sequence in the tracking data specifically includes: analyzing the change condition in the tracking data, and taking the tracking data corresponding to the change time point as a key data point when the change amplitude exceeds a change amplitude threshold value; sorting the key data points by time to form a key data point sequence;
preferably: after the key data point sequence is extracted, screening key data points, and deleting one of the two key data points with the time interval smaller than a preset value;
the simulation of each disinfection strategy in the set of disinfection strategies based on the key data point sequence specifically comprises the following steps:
step 1: acquiring a disinfection strategy in a disinfection strategy set for simulation until the set is empty;
step 2: forming analog data combination by every two adjacent key point data in the key data point sequence, and sorting the combination according to the time sequence;
step 3: using the first key point data in the combination as a starting point of the strategy application, using the second key point data as a target of the strategy application, and adopting the current disinfection strategy to control and obtain a strategy sub-simulation result; for example: taking the environment detection data and/or the air quality monitoring data in the first key point data as a strategy application starting point, and taking the environment detection data and/or the air quality monitoring data in the second key point data as a control target;
step 4: when all the combinations are simulated, splicing the sub-simulation results to obtain a simulation result corresponding to the disinfection strategy;
step 5: when the disinfection strategy is not simulated, returning to step 1;
the comparison simulation result and the selection of the optimal disinfection strategy specifically comprise the following steps: calculating discrete control effectiveness E of each disinfection strategy based on simulation resultsd(ii) a Determining the disinfection strategy with the highest discrete control efficiency as an optimal disinfection strategy;
wherein: di,jA data value of a jth key point of ith environment detection data or air quality monitoring data; di,STA reference value of the ith environmental detection data or air quality monitoring data; Φ is the number of times that the change in the comparison device voltage and/or current data exceeds the change threshold per two consecutive key point data; I.C. AjIs the device current data value for the jth keypoint; u shapejIs the device current data value for the jth keypoint;
comparing the simulation results of the optimal sterilization strategy to the tracking data to determine whether a sterilization strategy needs to be modified; the method specifically comprises the following steps: taking initial data of the tracking data as a disinfection strategy application starting point, taking optimal environment detection data and air quality monitoring data as strategy control targets, performing simulation application of a disinfection strategy, and acquiring continuous simulation results; continuous control efficiency E for calculating optimal disinfection strategy and tracking datac(ii) a Determining that a disinfection strategy needs to be changed when the continuous control effectiveness of the optimal disinfection strategy is minimal, and vice versa;
preferably: the optimal environment detection data and the air quality monitoring data are reference values of the environment detection data or the air quality monitoring data;
wherein: di,tIs a data value at time t of the ith environmental detection data or air quality monitoring data; phi is the effective times of the change of the voltage and current data of the equipment exceeding the change threshold, and the effectiveness is measured by the time duration; i isjIs the device current data value at time t; u shapejIs the device current data value at time t;
non-quantitative query acquisition and split quantitative comparison are combined in a set determining and splitting optimization mode, the possibility that a local optimal strategy and a non-optimal strategy are selected is avoided, and the accuracy of strategy selection is improved by fully considering multi-dimensional tracking data; based on the key point data sequence, the disinfection strategy is rapidly and accurately screened by adopting discrete and continuous efficiency under the condition of considering the stability of the equipment;
specifically, the cloud service center continuously receives various data of the end side, including the executed disinfection strategy, the obtained air quality, the corresponding air disinfection equipment condition, the frequency of disinfection strategy adjustment and other data, and can continuously integrate new end side analysis parameter factors, and continuously optimize the system and the disinfection strategy for further optimizing the disinfection strategy as a data base.
The above description is only a preferred embodiment of the present invention, and all equivalent changes or modifications of the structure, characteristics and principles described in the present invention are included in the scope of the present invention.
Claims (5)
1. A5G air disinfection edge calculation method is characterized by comprising the following steps:
step 100: the cloud service center issues an air disinfection strategy to the 5G edge computing box on the end side;
step 200: the 5G edge computing box has environment detection capacity, the 5G edge computing box carries out computing according to real-time environment detection data, obtains a proper air disinfection strategy based on a disinfection strategy issued by a cloud, and controls corresponding air disinfection equipment to carry out actual air disinfection, and the environment detection data comprise temperature, humidity, carbon dioxide concentration and ozone concentration;
step 300: the 5G edge calculation box has air quality detection capability, detects air quality data in real time, calculates based on the air quality data and the environment detection data, judges whether the current air disinfection strategy needs to be adjusted, and controls corresponding air disinfection equipment to implement actual air disinfection if the current air disinfection strategy does need to be adjusted, wherein the air quality data are PM1.0, PM2.5, PM10, formaldehyde, benzene, TVOC, ammonia, hydrogen sulfide and negative oxygen ions;
step 400: the 5G edge computing box synchronously reports environment detection data, air quality data, equipment voltage and current data and air disinfection execution strategy data to a cloud service center in real time;
step 500: the cloud service tracks environmental detection data, air quality data, equipment voltage and current data and air disinfection execution strategy data for a long time, determines whether a disinfection strategy needs to be changed or not after big data analysis, if the disinfection strategy needs to be changed, the cloud issues a new disinfection strategy, automatically downloads the new disinfection strategy to all front-end 5G edge computing boxes, and starts a new on-site disinfection strategy;
the method for determining whether the disinfection strategy needs to be changed or not after the big data analysis specifically comprises the following steps:
step S1: acquiring the data tracked in the step 500, and acquiring an environmental scene to which a disinfection strategy is applied, wherein the environmental scene comprises a shopping mall;
step S2: extracting environment characteristic data based on an environment scene, wherein the environment characteristic data comprises public places, area sizes and personnel densities;
step S3: comparing the current environmental characteristic data with recent historical environmental characteristic data to determine whether the environment changes, if so, locally searching a disinfection strategy matched with the current environmental characteristic data in the 5G edge computing box and applying the disinfection strategy; otherwise, entering the next step; the 5G edge computing box stores the latest N disinfection strategies which are stored in the computing box by adopting a first-in first-out strategy based on the use frequency; setting the value of N and the environmental change rule to be related to the storage capacity of the 5G edge computing box;
step S4, acquiring a matched disinfection strategy set based on the extracted environmental characteristic data at the cloud;
step S5: extracting a key data point sequence in the tracking data, simulating each disinfection strategy in the disinfection strategy set based on the key data point sequence, and obtaining a simulation result; comparing the simulation results and selecting an optimal disinfection strategy; comparing the simulation results of the optimal sterilization strategy with the tracking data to determine whether a sterilization strategy needs to be changed; the extracting of the key data point sequence in the tracking data specifically includes: analyzing the change condition in the data tracked in the step 500, and when the change amplitude exceeds a change amplitude threshold value, taking the tracked data corresponding to the change time point as a key data point; the key data points are sorted by time to form a key data point sequence.
2. The 5G air disinfection margin calculation method of claim 1, wherein online disinfection strategy dynamic adaptation is supported.
3. A5G online air disinfection system is characterized by comprising a cloud server, a far-end 5G air disinfection edge computing box and an online air disinfection device with environment quality detection and air quality detection capabilities and controllable 5G air disinfection edge computing box, wherein the 5G air disinfection edge computing box and the cloud server are in remote communication connection and used for receiving disinfection strategies, uploading relevant environment data, air quality data and electrical data of the online disinfection device, and the 5G online air disinfection system is used for executing the method of any one of claims 1-2.
4. The 5G online air disinfection system of claim 3, wherein the cloud service center needs to have an initial disinfection strategy, and the corresponding disinfection strategies are issued according to different buildings.
5. The 5G online air disinfection system as claimed in claim 3, wherein the environmental characteristics are significance data obtained based on environmental scenes, can optimally represent characteristics of the environment itself, and can rapidly reflect changes of the environment.
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