Intelligent sensor-based living environment health analysis system and method

Abstract

The invention discloses a living environment health analysis system and method based on an intelligent sensor, and belongs to the field of artificial intelligence. Environmental change data in a living environment and the average growth condition of germs in a regional living environment are acquired to carry out germ growth abnormity analysis, and personnel body disease resistance abnormity analysis is carried out based on personnel body condition data; the residence disinfection cycle is analyzed on the basis of a human body disease resistance abnormity analysis result, a germ growth abnormity analysis and a set disinfection cycle, through continuous monitoring and analysis of environment and health data, dynamic management of residence disinfection can be achieved, the intelligent level of the living environment is improved, and the intelligent management of residence disinfection can be achieved on the basis of analysis of human body disease resistance. By means of the method, a personalized health protection scheme can be formulated, the health of the living environment can be comprehensively improved in combination with the disinfection strategy, optimization and scientific management of the residence disinfection strategy can be achieved, the health level of the living environment can be improved, resources can be saved, and the living comfort can be improved.

Description

Technical Field

[0001] The present invention belongs to the field of artificial intelligence, and specifically relates to a residential environment health analysis system and method based on intelligent sensors. Background Art

[0002] While further reducing building energy consumption, creating a healthy living environment is an important measure to guarantee and improve people's livelihood. Relevant research shows that about two-thirds of a person's life is spent indoors, and the quality of the indoor environment plays a leading role in affecting human health. Through research in disciplines such as toxicology and clinical medicine, it has been found that indoor pollutants are closely related to common diseases among residents, such as asthma. How to effectively monitor, evaluate, warn, and improve the health status of the indoor environment is an urgent problem to be solved at present. When analyzing the health of the living environment using existing technologies, it usually only simply analyzes whether the indoor environment is suitable for people to live in, and when it is not suitable, cleaning and disinfection are carried out. However, when disinfecting a residence, it is usually carried out at regular intervals. Existing technologies cannot achieve dynamic management of residence disinfection through continuous monitoring and analysis of environmental and health data, and at the same time, cannot predict and analyze the disinfection cycle of a residence based on the analysis results of abnormal disease resistance of personnel, abnormal growth of germs, and set disinfection cycles, resulting in a low health level of the living environment, as well as the disadvantages of wasting resources and poor living comfort. Most existing technologies have the above problems;

[0003] To solve the problems raised in this background art, the present application designs a residential environment health analysis system and method based on intelligent sensors. Summary of the Invention

[0004] Aiming at the deficiencies of the existing technology, the present invention provides a residential environment health analysis system and method based on intelligent sensors. The present invention obtains environmental change data in the living environment and the average growth of germs in the regional living environment for abnormal germ growth analysis, conducts abnormal disease resistance analysis of personnel based on personnel physical condition data, and conducts analysis of the residence disinfection cycle based on the analysis results of abnormal disease resistance of personnel, abnormal germ growth analysis, and set disinfection cycles. Through continuous monitoring and analysis of environmental and health data, dynamic management of residence disinfection can be achieved, improving the intelligent level of the living environment. Based on the analysis of the disease resistance ability of personnel, personalized health protection plans can be formulated, combined with disinfection strategies, comprehensively improving the health of the living environment, and realizing the optimization and scientific management of residence disinfection strategies, not only improving the health level of the living environment, but also saving resources and improving living comfort.

[0005] To achieve the above object, the present invention provides the following technical solution: A residential environment health analysis method based on intelligent sensors, which includes the following specific steps:

[0006] Obtain environmental change data in the living environment and the average growth of germs in the regional living environment, and at the same time obtain data on the physical condition of personnel;

[0007] Obtain environmental change data in the living environment and the average growth of germs in the regional living environment for the analysis of abnormal germ growth;

[0008] Conduct an analysis of abnormal disease resistance of personnel based on the data of the physical condition of personnel;

[0009] Based on the results of the analysis of abnormal disease resistance of personnel, the analysis of abnormal germ growth, and the set disinfection cycle, analyze the disinfection cycle of the residence and prepare for the disinfection work.

[0010] Here, it should be noted that as a preferred technical solution of the health analysis method for the living environment based on intelligent sensors, the environmental change data in the living environment includes environmental data such as environmental temperature and environmental humidity that affect virus growth and the physical condition of personnel, the average growth of germs in the regional living environment includes the average density data of various germs in the monitored regional living environment, the data of the physical condition of personnel includes data types such as blood pressure, body temperature, and heart rate that reflect the physical health of the human body, and the obtained data are stored in the corresponding storage components respectively.

[0011] Here, it should be noted that as a preferred technical solution of the health analysis method for the living environment based on intelligent sensors, the obtaining of environmental change data in the living environment and the average growth of germs in the regional living environment for the analysis of abnormal germ growth includes the following specific steps:

[0012] S21. Obtain the environmental change data in the living environment, and import the environmental change data in the living environment and the environmental data suitable for germ growth into the environmental impact analysis. Among them, the analysis strategy of the environmental impact analysis is as follows: Obtain the standardization of the differences between the environmental change data in various living environments and the environmental data suitable for germ growth corresponding to a specified time period, multiply them by the corresponding environmental impact weights, and obtain the abnormal values of the corresponding environmental types. The abnormal values of the corresponding environmental types at the corresponding time are added to obtain the environmental abnormal value at the corresponding time. After integrating and standardizing the environmental abnormal value at the corresponding time over the time length of the specified time period, the environmental impact analysis result is obtained;

[0013] S22. Obtain the average density data of various germs in the living environment, and at the same time obtain the average density data of various germs in the living environment at the previous collection. Obtain the change amount of the average density data of various germs in the living environment from the previous collection to the current collection. The analysis result of germ growth is obtained by weighted summation after standardizing the average density data of various germs in the living environment and the change amount of the average density data of various germs in the living environment from the previous collection to the current collection respectively;

[0014] S23. Obtain the analyzed environmental impact analysis results and pathogen growth analysis results, and conduct abnormal pathogen growth analysis based on the environmental impact analysis results and pathogen growth analysis results. Among them, the abnormal pathogen growth analysis is proportional to the environmental impact analysis results, and the abnormal pathogen growth analysis is proportional to the pathogen growth analysis results. The calculation method for conducting abnormal pathogen growth analysis based on the environmental impact analysis results and pathogen growth analysis results is weighted summation.

[0015] Here it should be noted that as a preferred technical solution of the residential environment health analysis method based on intelligent sensors, the analysis of abnormal disease resistance of personnel's bodies based on personnel's physical condition data includes the following specific steps:

[0016] S31. Obtain data types such as blood pressure, body temperature, and heart rate that reflect the physical health of residents within a set period, and analyze the abnormal disease resistance of the residents' bodies based on the abnormalities and fluctuations of the body parameters of the residents within the set period. Among them, the analysis method is specifically as follows:

[0017] S311. Obtain the body parameters of the residents within the set period and the safety ranges corresponding to the body parameters, and calculate the deviation between the body parameters of the residents within the set period and the safety ranges corresponding to the body parameters as the abnormality of the body parameters.

[0018] S312. Obtain the body parameters of the residents within the set period, and evaluate the abnormal body fluctuations of the residents based on the fluctuations of the body parameters of the residents within the set period.

[0019] S313. Obtain the abnormality of the residents' body parameters and the abnormal body fluctuations of the residents, and perform weighted summation to obtain the abnormal disease resistance of the residents.

[0020] S32. Obtain the abnormal disease resistance of all personnel in the corresponding residential environment, and perform superposition and averaging to obtain the overall abnormal disease resistance of the personnel in the residence.

[0021] Here it should be noted that as a preferred technical solution of the residential environment health analysis method based on intelligent sensors, the analysis of the disinfection cycle of the residence based on the analysis results of abnormal disease resistance of personnel's bodies, abnormal pathogen growth analysis, and set disinfection cycle includes the following specific contents:

[0022] S41. Obtain the calculated abnormal pathogen growth analysis results and the overall abnormal disease resistance results of the personnel in the residence, and perform standardization and summation to obtain the disinfection abnormality value in the residence; in this way, comprehensively analyze the danger of the personnel in the residence in the pathogen environment through the pathogen growth situation and the overall abnormal disease resistance of the personnel in the residence.

[0023] S42. Compare the disinfection outliers in the residence with the disinfection outlier threshold in the residence, and comprehensively analyze the residence disinfection cycle based on the comparison result and the set disinfection cycle. The preferred comparison method is: the reciprocal of the quotient obtained by dividing the disinfection outliers in the residence by the disinfection outlier threshold in the residence, multiplied by the set disinfection cycle to obtain the residence disinfection cycle. Since the higher the risk of personnel in the germ environment, the shorter the disinfection cycle, the residence disinfection cycle is inversely proportional to the disinfection outliers in the residence.

[0024] A health analysis system for the living environment based on intelligent sensors, which is implemented based on the above-mentioned health analysis method for the living environment based on intelligent sensors, and specifically includes a germ information collection module, a body information collection module, a germ growth anomaly analysis module, a disease resistance anomaly analysis module, a disinfection cycle analysis module, and a disinfection preparation module. Among them, the germ information collection module is used to obtain the environmental change data in the living environment and the average growth situation of germs in the regional living environment.

[0025] The body information collection module is used to obtain the body condition data of personnel.

[0026] The germ growth anomaly analysis module is used to perform germ growth anomaly analysis by obtaining the environmental change data in the living environment and the average growth situation of germs in the regional living environment.

[0027] The disease resistance anomaly analysis module performs disease resistance anomaly analysis on the personnel's body based on the body condition data of the personnel.

[0028] The disinfection cycle analysis module analyzes the residence disinfection cycle based on the results of the disease resistance anomaly analysis of the personnel's body, the germ growth anomaly analysis, and the set disinfection cycle.

[0029] The disinfection preparation module is used to remind the disinfection personnel to prepare for the disinfection work.

[0030] An electronic device includes: a processor and a memory. Among them, a computer program that can be called by the processor is stored in the memory.

[0031] The processor executes the above-mentioned health analysis method for the living environment based on intelligent sensors by calling the computer program stored in the memory.

[0032] A computer-readable storage medium stores instructions. When the instructions run on a computer, the computer is caused to execute the health analysis method for the living environment based on intelligent sensors as described above.

[0033] Compared with the prior art, the beneficial effects of the present invention are:

[0034] The present invention obtains environmental change data in the living environment and the average growth of germs in the regional living environment for abnormal germ growth analysis, and conducts abnormal analysis of the body's disease resistance based on the personal physical condition data.

[0035] Based on the results of the abnormal analysis of the body's disease resistance, the abnormal analysis of germ growth, and the set disinfection cycle, the analysis of the residence disinfection cycle is carried out. Through the continuous monitoring and analysis of environmental and health data, the dynamic management of residence disinfection can be realized, the intelligent level of the living environment can be improved. Based on the analysis of the body's disease resistance, personalized health protection plans can be formulated. Combined with disinfection strategies, the health of the living environment can be comprehensively improved, the optimization and scientific management of residence disinfection strategies can be realized, not only the health level of the living environment is improved, but also resources are saved and the living comfort is enhanced. Brief Description of the Drawings

[0036] Figure 1 It is a schematic flow chart of an embodiment of the method of the present invention;

[0037] Figure 2 It is a schematic flow chart of step S2 in an embodiment of the method of the present invention;

[0038] Figure 3 It is a schematic flow chart of step S31 in an embodiment of the method of the present invention;

[0039] Figure 4 It is a schematic diagram of the overall framework of an embodiment of the system of the present invention. Detailed Embodiments

[0040] To make the objectives, technical solutions, and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are some, but not all, of the embodiments of the present application. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present application without creative efforts shall fall within the protection scope of the present application.

[0041] It should also be noted that in this specification, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variation thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device comprising a series of elements not only includes those elements, but also includes other elements not expressly listed, or elements inherent to such process, method, article or device. Without further limitation, an element defined by the statement "comprising an..." does not exclude the presence of additional identical elements in the process, method, article or device comprising the element.

[0042] Embodiment 1

[0043] To solve the technical problems raised in the background art: when disinfecting a residence in the prior art, it is usually timed disinfection of the residence. The prior art cannot achieve dynamic management of residence disinfection through continuous monitoring and analysis of environmental and health data, and at the same time cannot predict and analyze the residence disinfection cycle based on the analysis results of abnormal resistance of personnel's bodies, abnormal growth analysis of germs, and set disinfection cycles, resulting in a lower health level of the living environment, and at the same time there are also disadvantages of wasting resources and poor living comfort.

[0044] The present invention provides a preferred embodiment: as Figures 1 - 3 shown, a method for analyzing the health of a living environment based on intelligent sensors, which includes the following specific steps:

[0045] S1. Obtain environmental change data in the living environment and the average growth of germs in the regional living environment, and at the same time obtain data on the physical condition of personnel;

[0046] In one specific embodiment, the environmental change data in the living environment includes environmental data such as ambient temperature and humidity that affect virus growth and the physical condition of personnel. The average growth of germs in the regional living environment includes the average density data of various germs in the monitored regional living environment, which is obtained by obtaining the density of various germs in the living environments sampled from the same residence in the region and then averaging. The data on the physical condition of personnel includes data types such as blood pressure, body temperature, and heart rate that reflect the physical health of the human body, and the obtained data are stored in the corresponding storage components respectively;

[0047] S2. Obtain the environmental change data in the living environment and the average growth of germs in the regional living environment for abnormal growth analysis of germs;

[0048] In one specific embodiment, obtaining environmental change data in the living environment and the average growth of germs in the regional living environment for analyzing abnormal germ growth includes the following specific steps:

[0049] S21. Obtain the environmental change data in the living environment, and import the environmental change data in the living environment and the environmental data suitable for germ growth into the environmental impact analysis. Among them, the analysis strategy of the environmental impact analysis is as follows: Standardize the differences between the environmental change data in various living environments and the corresponding environmental data suitable for germ growth within a specified time period, and multiply them by the corresponding environmental impact weights to obtain the abnormal values of the corresponding environmental types. The abnormal values of the corresponding environmental types at the corresponding moment are added to obtain the environmental abnormal value at the corresponding moment. After integrating the environmental abnormal value at the corresponding moment over the time length of the specified time period and then standardizing, the environmental impact analysis result is obtained. The environmental impact analysis formula can be: Among them, T is the duration of the specified time period, d is the number of environmental types, si is the influence weight of the i-th environmental factor, Qit is the value of the i-th environmental factor at time t, and Qim is the median of the suitable range of the i-th environmental factor;

[0050] S22. Obtain the average density data of various germs in the living environment, and at the same time obtain the average density data of various germs in the living environment during the previous collection. Obtain the change amount of the average density data of various germs in the living environment from the previous collection to the current collection. The germ growth analysis result is obtained by weighted summation after standardizing the average density data of various germs in the living environment and the change amount of the average density data of various germs in the living environment from the previous collection to the current collection respectively. The germ growth analysis formula is: Among them, ρc is the average density of various germs in the living environment during the current collection, ρm is the over-standard value of the germ density, ρ(c - 1) is the average density data of various germs during the previous collection, j1 is the total proportion weight, and j2 is the increase amount influence weight;

[0051] S23. Obtain the obtained environmental impact analysis result and germ growth analysis result, and conduct abnormal germ growth analysis through the environmental impact analysis result and germ growth analysis result. Among them, the abnormal germ growth analysis is proportional to the environmental impact analysis result, and the abnormal germ growth analysis is proportional to the germ growth analysis result. The calculation method for conducting abnormal germ growth analysis through the environmental impact analysis result and germ growth analysis result is weighted summation;

[0052] S3. Conduct abnormal analysis of the body's disease resistance based on the data of the person's physical condition;

[0053] In one specific embodiment, conducting abnormal analysis of the body's disease resistance based on the data of the person's physical condition includes the following specific steps:

[0054] S31. Obtain the types of data reflecting the physical health of the residents, such as blood pressure, body temperature, and heart rate, within the set period, and analyze the disease resistance abnormality of the residents' bodies based on the abnormalities and fluctuations of the body parameters within the set period of the residents. Specifically, the analysis method is as follows:

[0055] S311. Obtain the body parameters of the residents within the set period and the safety range corresponding to the body parameters, and calculate the deviation between the body parameters of the residents within the set period and the safety range of the corresponding body parameters as the abnormality of the body parameters. Among them, the calculation formula for the abnormality of the body parameters can be: Among them, p is the number of types of body parameters, xct is the data of the c-th type of body parameter at time t, and xcm is the median of the data safety range of the c-th type of body parameter;

[0056] S312. Obtain the body parameters of the residents within the set period, and evaluate the abnormal body fluctuations of the residents based on the fluctuations of the body parameters of the residents within the set period. Among them, the calculation formula for the abnormal body fluctuations can be: Among them, xc(t - 1) is the data of the c-th type of body parameter at time t - 1;

[0057] S313. Obtain the abnormality of the residents' body parameters and the abnormal body fluctuations of the residents, and perform weighted summation to obtain the disease resistance abnormality of the residents;

[0058] S32. Obtain the disease resistance abnormalities of all the people in the corresponding living environment, and perform superposition and averaging to obtain the overall disease resistance abnormality of the people in the residence;

[0059] S4. Analyze the disinfection cycle of the residence based on the analysis results of the disease resistance abnormality of the people's bodies, the analysis of the abnormal growth of germs, and the set disinfection cycle, and prepare for the disinfection work;

[0060] In one specific embodiment, the analysis of the disinfection cycle of the residence based on the analysis results of the disease resistance abnormality of the people's bodies, the analysis of the abnormal growth of germs, and the set disinfection cycle includes the following specific contents:

[0061] S41. Obtain the analysis results of the abnormal growth of germs and the overall disease resistance abnormality results of the people in the residence obtained by calculation, perform standardization and then sum to obtain the disinfection abnormality value in the residence; in this way, comprehensively analyze the danger of the people in the residence in the germ environment through the growth situation of germs and the overall disease resistance abnormality of the people in the residence;

[0062] S42. Compare the disinfection outliers in the residence with the disinfection outlier threshold in the residence, and comprehensively analyze the residence disinfection cycle based on the comparison result and the set disinfection cycle. The preferred comparison method is as follows: Multiply the reciprocal of the quotient obtained by dividing the disinfection outliers in the residence by the disinfection outlier threshold in the residence by the set disinfection cycle to obtain the residence disinfection cycle. Since the higher the risk of personnel in a germ environment, the shorter the disinfection cycle, the residence disinfection cycle is inversely proportional to the disinfection outliers in the residence.

[0063] It should also be noted in this embodiment that the value-taking methods of the set parameters and weights in this embodiment are as follows: By evaluating the environmental change data in the historical living environment, the average growth of germs in the regional living environment, and obtaining the personal physical condition data, obtain the health changes of personnel under various disinfection cycles, and import the top 10%-20% of the historical collection data with relatively good health changes into each step of this embodiment for the analysis of the disinfection cycle. Import the analysis results of the disinfection cycle and the disinfection cycles of the top 10%-20% with relatively good health changes into the fitting software, and output the value-taking of the set parameters and weights that meet the maximum analysis accuracy rate of the disinfection cycle.

[0064] It should also be noted in this embodiment that if the technical solution of the present disclosure involves personal information, before the product applying the technical solution of the present disclosure processes personal information, it has clearly informed the personal information processing rules and obtained the personal's autonomous consent. If the technical solution of the present disclosure involves sensitive personal information, before the product applying the technical solution of the present disclosure processes sensitive personal information, it has obtained the personal's separate consent and at the same time meets the requirement of "express consent". For example, at a personal information collection device such as a camera, set a clear and prominent sign to inform that the personal information collection range has been entered and personal information will be collected. If a person voluntarily enters the collection range, it is regarded as consenting to the collection of their personal information; or on the personal information processing device, when the personal information processing rules are informed by obvious signs / information, obtain personal authorization through pop-up messages or asking the person to upload their personal information by themselves, etc.; among them, the personal information processing rules may include information such as the personal information processor, the purpose of personal information processing, the processing method, and the types of personal information processed.

[0065] The advantages of this embodiment compared with the prior art are as follows: obtaining environmental change data in the living environment and the average growth situation of germs in the regional living environment for abnormal germ growth analysis, conducting abnormal disease resistance analysis of the human body based on the data of the human body condition, and analyzing the disinfection cycle of the residence based on the results of the abnormal disease resistance analysis of the human body, the abnormal germ growth analysis, and the set disinfection cycle. Through continuous monitoring and analysis of environmental and health data, dynamic management of residence disinfection can be achieved, the intelligent level of the living environment can be improved. Based on the analysis of the disease resistance ability of the human body, personalized health protection plans can be formulated, combined with disinfection strategies, comprehensively improving the health of the living environment, realizing the optimization and scientific management of residence disinfection strategies, not only improving the health level of the living environment, but also saving resources and improving the living comfort.

[0066] Embodiment 2

[0067] As Figure 4 shown, the health analysis system for the living environment based on intelligent sensors is implemented based on the above-mentioned health analysis method for the living environment based on intelligent sensors, and specifically includes a germ information collection module, a body information collection module, a germ growth abnormal analysis module, a disease resistance abnormal analysis module, a disinfection cycle analysis module, and a disinfection preparation module. Among them, the germ information collection module is used to obtain environmental change data in the living environment and the average growth situation of germs in the regional living environment;

[0068] The body information collection module is used to obtain data on the human body condition;

[0069] The germ growth abnormal analysis module is used to obtain environmental change data in the living environment and the average growth situation of germs in the regional living environment for abnormal germ growth analysis;

[0070] The disease resistance abnormal analysis module conducts abnormal disease resistance analysis of the human body based on the data of the human body condition;

[0071] The disinfection cycle analysis module analyzes the disinfection cycle of the residence based on the results of the abnormal disease resistance analysis of the human body, the abnormal germ growth analysis, and the set disinfection cycle;

[0072] The disinfection preparation module is used to remind the disinfection personnel to prepare for the disinfection work.

[0073] Embodiment 3

[0074] This embodiment provides an electronic device, including: a processor and a memory. Among them, a computer program that can be called by the processor is stored in the memory;

[0075] The processor executes the above-mentioned health analysis method for the living environment based on intelligent sensors by calling the computer program stored in the memory.

[0076] The electronic device can vary significantly due to different configurations or performances. It can include one or more processors and one or more memories. Among them, at least one computer program is stored in the memory, and this computer program is loaded and executed by the processor to implement the method for analyzing the health of the living environment based on intelligent sensors provided by the above method embodiments. The electronic device can also include other components for implementing device functions. For example, the electronic device can also have components such as wired or wireless network interfaces and input / output interfaces for data input and output. Details of this embodiment are not elaborated here.

[0077] Embodiment 4

[0078] This embodiment proposes a computer-readable storage medium, on which a rewritable computer program is stored;

[0079] When the computer program runs on a computer device, it causes the computer device to execute the above method for analyzing the health of the living environment based on intelligent sensors.

[0080] For example, the computer-readable storage medium can be a read-only memory, a random access memory, a compact disc read-only memory, magnetic tape, floppy disk, and optical data storage device, etc.

[0081] The above embodiments can be implemented in whole or in part by software, hardware, firmware, or any other combination. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the processes or functions according to the embodiments of the present invention are generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via a wired network or / and a wireless network. The computer-readable storage medium can be any available medium that the computer can access or a data storage device such as a server or data center that contains one or more collections of available media. The available medium can be a magnetic medium (such as a floppy disk, hard disk, magnetic tape), an optical medium (such as a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state drive.

Claims

1. A method for analyzing the health of a living environment based on intelligent sensors, characterized in that It includes the following specific steps: Obtain the environmental change data in the living environment and the average growth of germs in the regional living environment, and at the same time obtain the data on the physical conditions of the personnel; Obtain the environmental change data in the living environment and the average growth of germs in the regional living environment for the analysis of abnormal germ growth; Conduct an analysis of abnormal disease resistance of personnel based on the data on the physical conditions of the personnel; Based on the results of the analysis of abnormal disease resistance of personnel, the analysis of abnormal germ growth, and the set disinfection cycle, analyze the disinfection cycle of the residence and prepare for the disinfection work.

2. The method for analyzing the health of a living environment based on intelligent sensors according to claim 1, characterized in that The analysis of abnormal germ growth by obtaining the environmental change data in the living environment and the average growth of germs in the regional living environment includes the following specific steps: S21. Obtain the environmental change data in the living environment, and import the environmental change data in the living environment and the suitable environment data for germ growth into the environmental impact analysis. The analysis strategy of the environmental impact analysis is as follows: Standardize the differences between the environmental change data in various living environments and the corresponding suitable environment data for germ growth in a specified time period, multiply by the corresponding environmental impact weights, and obtain the abnormal values for the corresponding environmental types. Add up the abnormal values for the corresponding environmental types at the corresponding time to obtain the environmental abnormal value at the corresponding time. After integrating the environmental abnormal value at the corresponding time over the time length of the specified time period and standardizing, obtain the environmental impact analysis result; S22. Obtain the average density data of various germs in the living environment, and at the same time obtain the average density data of various germs in the living environment at the previous collection. Obtain the change amount of the average density data of various germs in the living environment from the previous collection to the current collection. Standardize the average density data of various germs in the living environment and the change amount of the average density data of various germs in the living environment from the previous collection to the current collection respectively, and then perform weighted summation to obtain the germ growth analysis result; S23. Obtain the environmental impact analysis result and the germ growth analysis result obtained from the analysis, and conduct an analysis of abnormal germ growth through the environmental impact analysis result and the germ growth analysis result.

3. The method for analyzing the health of a living environment based on intelligent sensors according to claim 2, wherein The analysis of abnormal disease resistance of personnel based on the data on the physical conditions of the personnel includes the following specific steps: S31. Obtain the types of data reflecting the physical health of the human body, such as blood pressure, body temperature, and heart rate, of the residents within a set period, and analyze the abnormal disease resistance of the personnel based on the abnormalities and fluctuations of the physical parameters of the residents within the set period; S32. Obtain the abnormal disease resistance of all personnel in the corresponding living environment, and after superimposing and averaging, obtain the overall abnormal disease resistance of the personnel in the residence.

4. The method for analyzing the health of a living environment based on intelligent sensors according to claim 3, characterized in that, The analysis method for analyzing the abnormal disease resistance of personnel is as follows: S311. Obtain the physical parameters of the residents within a set period and the safety range corresponding to the physical parameters, and calculate the deviation between the physical parameters of the residents within the set period and the safety range corresponding to the physical parameters as the abnormality of the physical parameters; S312. Obtain the physical parameters of the residents within a set period, and evaluate the abnormal physical fluctuations of the residents based on the fluctuations of the physical parameters of the residents within the set period; S313. Obtain the disease resistance abnormality of the resident by performing a weighted sum of the abnormality of the physical parameters of the resident and the abnormality of the physical fluctuation of the resident.

5. The method for analyzing the health of a living environment based on intelligent sensors according to claim 4, wherein, The analysis of the residence disinfection cycle based on the analysis result of the disease resistance abnormality of the human body, the analysis of the abnormal growth of germs, and the set disinfection cycle includes the following specific contents: S41. Obtain the analysis result of the abnormal growth of germs obtained by calculation and the overall disease resistance abnormality result of the people in the residence, and perform normalization and then sum to obtain the disinfection abnormality value in the residence; S42. Compare the disinfection abnormality value in the residence with the disinfection abnormality threshold in the residence, and comprehensively analyze the residence disinfection cycle based on the comparison result and the set disinfection cycle.

6. The method for analyzing the health of a living environment based on intelligent sensors according to claim 5, wherein The environmental change data in the living environment includes environmental data that affects the environmental temperature, environmental humidity affects the growth of viruses and the human body. The average growth of germs in the regional living environment includes the average density data of various germs in the monitored regional living environment. The human body condition data includes data types such as blood pressure, body temperature, and heart that reflect the physical health of the human body, and the obtained data are respectively stored in the corresponding storage components.

7. The method for analyzing the health of a living environment based on intelligent sensors according to claim 6, wherein The formula for analyzing the growth of the germs is as follows: Among them, ρc is the average density of various germs in the living environment during this collection, ρm is the exceeded value of the germ density, ρ(c - 1) is the average density data of various germs during the previous collection, j1 is the weight of the total amount ratio, and j2 is the weight of the influence of the increased amount.

8. A living environment health analysis system based on intelligent sensors, which is implemented based on the living environment health analysis method based on intelligent sensors according to any one of claims 1-7, characterized in that, Specifically, it includes a germ information collection module, a body information collection module, a germ growth abnormality analysis module, a disease resistance abnormality analysis module, a disinfection cycle analysis module, and a disinfection preparation module. Among them, the germ information collection module is used to obtain the environmental change data in the living environment and the average growth of germs in the regional living environment; The body information collection module is used to obtain the human body condition data; The germ growth abnormality analysis module is used to obtain the environmental change data in the living environment and the average growth of germs in the regional living environment for germ growth abnormality analysis; The disease resistance abnormality analysis module performs disease resistance abnormality analysis of the human body based on the human body condition data; The disinfection cycle analysis module analyzes the residence disinfection cycle based on the analysis result of the disease resistance abnormality of the human body, the analysis of the abnormal growth of germs, and the set disinfection cycle; The disinfection preparation module is used to remind the disinfection personnel to prepare for the disinfection work.

9. An electronic device, comprising: A processor and a memory, wherein the memory stores a computer program that can be called by the processor; It is characterized in that the processor executes the intelligent sensor-based living environment health analysis method according to any one of claims 1-7 by calling the computer program stored in the memory.

10. A computer-readable storage medium, characterized in that, Stored with instructions, when the instructions run on a computer, the computer is caused to execute the intelligent sensor-based living environment health analysis method according to any one of claims 1-7.

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