CN114726887A - Protective clothing background data acquisition alarm system based on Internet of things - Google Patents
Protective clothing background data acquisition alarm system based on Internet of things Download PDFInfo
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Abstract
The invention discloses a background data acquisition alarm system for protective clothing based on the Internet of things, which relates to the field of data acquisition and analysis and solves the technical problem that the real-time state of the protective clothing cannot be analyzed through data acquisition in the use process of the protective clothing in the prior art; the real-time environment of the protective clothing is subjected to data analysis, whether the environment of the protective clothing is qualified or not is judged, the protective clothing is prevented from being influenced by the environment, the safety protection efficiency of the protective clothing is reduced, the use quality of a user is reduced, and the infection risk of the user is increased; the protective clothing used in real time is used and analyzed, and the use strength of the corresponding protective clothing is judged, so that the reduction of the safety efficiency of the protective clothing caused by abnormal use is prevented.
Description
Technical Field
The invention relates to the field of data acquisition and analysis, in particular to a protective clothing background data acquisition alarm system based on the Internet of things.
Background
The protective clothing types include fire-fighting protective clothing, industrial protective clothing, medical protective clothing, military protective clothing and protective clothing used by special people. The protective clothing is mainly applied to the industries and departments of fire fighting, military industry, ships, petroleum, chemical industry, paint spraying, cleaning and disinfection, laboratories and the like. According to the protection function, the health protective clothing is divided into health protective clothing, such as radiation protection clothing, cold protective clothing, heat insulation clothing, antibacterial clothing and the like; safety protective clothing, such as flame-retardant clothing, flame-retardant protective clothing, arc protective clothing, antistatic clothing, bullet-proof clothing, stab-resistant clothing, space suit, diving suit, acid-proof clothing, insect-proof clothing, and the like; work clothes for keeping the wearer sanitary, such as oil-proof clothes, dust-proof clothes, water-repellent clothes and the like.
However, in the prior art, the protective clothing cannot analyze the real-time state of the protective clothing through data acquisition in the using process, so that whether the real-time safety performance of the protective clothing is qualified or not cannot be judged, and the safety of a user cannot be guaranteed.
In view of the above technical drawbacks, a solution is proposed.
Disclosure of Invention
The invention aims to solve the problems, and provides a background data acquisition alarm system of protective clothing based on the Internet of things, which is used for carrying out data acquisition and analysis on the protective clothing and judging whether the real-time running state of the protective clothing is abnormal or not, so that the running efficiency of the protective clothing is improved, and the situation that the protective clothing is abnormal to cause low protective efficiency is prevented, and the safety of a user is influenced; the data analysis is carried out to the environment of the protective clothing in real time, whether the environment of the protective clothing is qualified or not is judged, the protective clothing is prevented from being influenced by the environment, the safety protection efficiency of the protective clothing is reduced, the safety performance of the protective clothing is reduced, the use quality of a user is reduced, and the infection risk of the user is increased.
The purpose of the invention can be realized by the following technical scheme:
the protective clothing background data acquisition alarm system based on the Internet of things comprises a data acquisition and analysis platform, wherein a server is arranged in the data acquisition and analysis platform, and the server is in communication connection with an environmental data analysis unit, a use data analysis unit and an analysis alarm unit;
the data acquisition and analysis platform is used for carrying out data acquisition and analysis on the protective clothing and judging whether the real-time running state of the protective clothing is abnormal or not; the server generates an environment data analysis signal and sends the environment data analysis signal to the environment data analysis unit, and the environment data analysis unit performs data analysis on the real-time environment of the protective suit; the server generates a usage data analysis signal and sends the usage data analysis signal to the usage data analysis unit, and the usage data analysis unit is used for analyzing the usage of the protective clothing used in real time; the server generates an analysis alarm signal and sends the analysis alarm signal to the analysis alarm unit, and the analysis alarm unit performs early warning analysis on an analysis object which completes data analysis.
As a preferred embodiment of the present invention, the environment data analysis process of the environment data analysis unit is as follows:
marking the protective clothing which is put into use as an analysis object, carrying out data acquisition on the analysis object, setting a mark i to be a natural number larger than 1, acquiring the difference value between the real-time internal temperature and the real-time external temperature of the analysis object, and marking the difference value between the real-time internal temperature and the real-time external temperature of the analysis object as WDCi; acquiring a difference value between real-time internal humidity and real-time external humidity of an analysis object, and marking the difference value between the real-time internal humidity and the real-time external humidity of the analysis object as SDCI; acquiring a real-time temperature difference value floating value and a real-time humidity difference value floating value of an analysis object, and respectively marking the real-time temperature difference value floating value and the real-time humidity difference value floating value of the analysis object as WFDi and SFDi;
the real-time environment data analysis coefficient Xi of the analysis object is obtained through analysis, and the real-time environment data analysis coefficient of the analysis object is compared with a real-time environment data analysis coefficient threshold value:
if the real-time environment data analysis coefficient of the analysis object exceeds the real-time environment data analysis coefficient threshold, judging that the real-time environment data analysis of the corresponding analysis object is unqualified, generating an environment risk signal, sending the environment risk signal and the number of the corresponding analysis object to a server, after receiving the environment risk signal, carrying out time control according to the environment data of the analysis object by the server, and if any data in the environment data of the analysis object exceeds the corresponding threshold, stopping using the corresponding analysis object;
and if the real-time environment data analysis coefficient of the analysis object does not exceed the real-time environment data analysis coefficient threshold, judging that the real-time environment data of the corresponding analysis object is qualified in analysis, generating an environment normal signal and sending the environment normal signal and the number of the corresponding analysis object to the server.
As a preferred embodiment of the present invention, the usage data analysis process using the data analysis unit is as follows:
the method comprises the following steps of collecting the real-time use time of an analysis object, comparing the corresponding real-time use time with the current system time to obtain a real-time use time period, collecting the frequency of putting on and taking off the analysis object by a user in the real-time use period and the placement time length of the analysis object when the analysis object is not used, and comparing the frequency of putting on and taking off the analysis object by the user in the real-time use period and the placement time length of the analysis object when the analysis object is not used with a putting-on and taking-off frequency threshold value and a placement time length threshold value respectively: if the frequency of putting the analysis object on and off exceeds the putting-on and taking-off frequency threshold value or the placing time length of the analysis object when not used exceeds the placing time length threshold value, judging that the use data of the analysis object is unqualified, generating a use abnormal signal and sending the use abnormal signal to a server; if the frequency of putting on and taking off the analysis object by the user in the real-time use section does not exceed the putting-on and taking-off frequency threshold value and the placing time length of the analysis object when the analysis object is not used does not exceed the placing time length threshold value, the use data of the analysis object is judged to be qualified through analysis, a normal use signal is generated, and the normal use signal is sent to the server.
As a preferred embodiment of the present invention, the analysis alarm process of the analysis alarm unit is as follows:
acquiring the occurrence frequency of the environment risk signal corresponding to the analysis object and the occurrence duration of the abnormal use signal corresponding to the analysis object, and comparing the occurrence frequency of the environment risk signal corresponding to the analysis object and the occurrence duration of the abnormal use signal corresponding to the analysis object with an occurrence frequency threshold and an occurrence duration threshold respectively:
if the occurrence frequency of the environmental risk signals corresponding to the analysis object exceeds the occurrence frequency threshold value or the occurrence time of the abnormal signals corresponding to the analysis object exceeds the occurrence time threshold value, judging that the corresponding protective clothing is abnormal, generating a safety alarm signal and sending the safety alarm signal and the number of the corresponding protective clothing to the server; if the occurrence frequency of the environmental risk signal corresponding to the analysis object does not exceed the occurrence frequency threshold value and the occurrence time length of the abnormal signal corresponding to the analysis object does not exceed the occurrence time length threshold value, judging that the corresponding protective clothing is normal, generating a safe normal signal and sending the safe normal signal and the number of the corresponding protective clothing to the server.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the invention, data acquisition and analysis are carried out on the protective clothing, and whether the real-time running state of the protective clothing is abnormal or not is judged, so that the running efficiency of the protective clothing is improved, the low protective efficiency caused by the abnormality of the protective clothing is prevented, and the safety of a user is influenced; the real-time environment of the protective clothing is subjected to data analysis, whether the environment of the protective clothing is qualified or not is judged, the protective clothing is prevented from being influenced by the environment, the safety protection efficiency of the protective clothing is reduced, the safety performance of the protective clothing is reduced, the use quality of a user is reduced, and the infection risk of the user is increased;
2. according to the invention, the protective clothing used in real time is used and analyzed, and the use strength of the corresponding protective clothing is judged, so that the reduction of the safety efficiency of the protective clothing caused by abnormal use is prevented, the user cannot obtain reliable safety protection, and the use quality of the user is reduced; the early warning analysis is carried out on the analysis object which completes the data analysis, and the early warning is carried out on the protective clothing with hidden danger in time, so that the safety operation efficiency of the protective clothing is improved, and the protection quality of a user is enhanced.
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In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
Fig. 1 is a schematic block diagram of a protective clothing background data acquisition alarm system based on the internet of things.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the protective clothing background data acquisition and alarm system based on the internet of things comprises a data acquisition and analysis platform, wherein a server is arranged in the data acquisition and analysis platform and is in communication connection with an environmental data analysis unit, a usage data analysis unit and an analysis alarm unit, and the server is in bidirectional communication connection with the environmental data analysis unit, the usage data analysis unit and the analysis alarm unit;
data acquisition analysis platform is used for carrying out data acquisition analysis to the protective clothing, judge whether there is the anomaly in the real-time running state of protective clothing, thereby the operating efficiency of protective clothing has been improved, prevent that the protective clothing from appearing unusually leading to the protection inefficiency, thereby influence user's safety, the server generates environmental data analysis signal and sends environmental data analysis signal to environmental data analysis unit, environmental data analysis unit is used for carrying out data analysis to the real-time environment of locating of protective clothing, judge whether qualified in the environment of protective clothing, prevent that the protective clothing from receiving environmental impact, the safety protection efficiency that leads to the protective clothing reduces, cause the security performance of protective clothing to reduce, reduce user's quality of use and increase user's infection risk simultaneously, concrete environmental data analytic process is as follows:
marking the protective clothing which is put into use as an analysis object, carrying out data acquisition on the analysis object, setting a mark i to be a natural number larger than 1, acquiring the difference value between the real-time internal temperature and the real-time external temperature of the analysis object, and marking the difference value between the real-time internal temperature and the real-time external temperature of the analysis object as WDCi; acquiring a difference value between real-time internal humidity and real-time external humidity of an analysis object, and marking the difference value between the real-time internal humidity and the real-time external humidity of the analysis object as SDCI; acquiring a real-time temperature difference value floating value and a real-time humidity difference value floating value of an analysis object, and respectively marking the real-time temperature difference value floating value and the real-time humidity difference value floating value of the analysis object as WFDi and SFDi;
by the formula
Acquiring a real-time environment data analysis coefficient Xi of an analysis object, wherein a1, a2, a3 and a4 are all preset proportionality coefficients, and a1 is more than a2 is more than a3 is more than a4 is more than 0; comparing the real-time environment data analysis coefficient of the analysis object with a real-time environment data analysis coefficient threshold value:
if the real-time environment data analysis coefficient of the analysis object exceeds the real-time environment data analysis coefficient threshold, judging that the real-time environment data analysis of the corresponding analysis object is unqualified, generating an environment risk signal and sending the environment risk signal and the number of the corresponding analysis object to a server, after receiving the environment risk signal, performing time control according to the environment data of the analysis object, if any data in the environment data of the analysis object exceeds the corresponding threshold, stopping using the corresponding analysis object, wherein the environment data comprises a difference value between a real-time internal temperature and a real-time external temperature, a difference value between the real-time internal temperature and the real-time external temperature, a difference value between the real-time internal humidity and the real-time external humidity and a real-time humidity difference value floating value; if the real-time environment data analysis coefficient of the analysis object does not exceed the real-time environment data analysis coefficient threshold, judging that the real-time environment data of the corresponding analysis object is qualified in analysis, generating an environment normal signal and sending the environment normal signal and the number of the corresponding analysis object to the server;
after the server receives the normal signal of environment, generate the data analysis signal of using and will use the data analysis signal transmission to use the data analysis unit, use the data analysis unit to be used for using the analysis with the protective clothing of real-time use, judge the service strength who corresponds the protective clothing, thereby prevent to appear using the safety efficiency reduction that unusually leads to the protective clothing, cause the user can't obtain reliable safety protection, lead to user's use quality to reduce, concrete use data analysis process is as follows:
the method comprises the following steps of collecting the real-time use time of an analysis object, comparing the corresponding real-time use time with the current system time to obtain a real-time use time period, collecting the frequency of putting on and taking off the analysis object by a user in the real-time use period and the placement time length of the analysis object when the analysis object is not used, and comparing the frequency of putting on and taking off the analysis object by the user in the real-time use period and the placement time length of the analysis object when the analysis object is not used with a putting-on and taking-off frequency threshold value and a placement time length threshold value respectively:
if the frequency of putting the analysis object on and off exceeds the putting-on and taking-off frequency threshold value or the placing time length of the analysis object when not used exceeds the placing time length threshold value, judging that the use data of the analysis object is unqualified, generating a use abnormal signal and sending the use abnormal signal to a server; if the frequency of putting on and taking off the analysis object by the user in the real-time use section does not exceed the putting-on and taking-off frequency threshold value and the placing time length of the analysis object when the analysis object is not used does not exceed the placing time length threshold value, judging that the use data of the analysis object is qualified, generating a normal use signal and sending the normal use signal to a server;
after the server receives the environmental risk signal or uses the abnormal signal, generate analysis alarm signal and will analyze alarm signal and send analysis alarm signal to analysis alarm unit, analysis alarm unit is used for carrying out early warning analysis to the analysis object of accomplishing data analysis, carries out timely early warning to the protective clothing that has the hidden danger, has improved the efficiency of protective clothing safe operation, reinforcing user's protection quality, and concrete analysis alarm process is as follows:
acquiring the occurrence frequency of the environment risk signal corresponding to the analysis object and the occurrence duration of the abnormal use signal corresponding to the analysis object, and comparing the occurrence frequency of the environment risk signal corresponding to the analysis object and the occurrence duration of the abnormal use signal corresponding to the analysis object with an occurrence frequency threshold and an occurrence duration threshold respectively:
if the occurrence frequency of the environmental risk signals corresponding to the analysis object exceeds the occurrence frequency threshold value or the occurrence time of the abnormal signals corresponding to the analysis object exceeds the occurrence time threshold value, judging that the corresponding protective clothing is abnormal, generating a safety alarm signal and sending the safety alarm signal and the number of the corresponding protective clothing to the server; if the occurrence frequency of the environmental risk signal corresponding to the analysis object does not exceed the occurrence frequency threshold value and the occurrence time length of the abnormal signal corresponding to the analysis object does not exceed the occurrence time length threshold value, judging that the corresponding protective clothing is normal, generating a safe normal signal and sending the safe normal signal and the number of the corresponding protective clothing to the server;
and after receiving the safety alarm signal, the server generates a deactivation signal and sends the deactivation signal to the user of the protection suit with the corresponding number, and meanwhile, isolates the corresponding user.
The formulas are all obtained by acquiring a large amount of data and performing software simulation, and a formula close to a true value is selected, and coefficients in the formulas are set by a person skilled in the art according to actual conditions;
when the protective clothing monitoring system is used, data acquisition and analysis are carried out on the protective clothing through the data acquisition and analysis platform, and whether the real-time running state of the protective clothing is abnormal or not is judged; the server generates an environment data analysis signal and sends the environment data analysis signal to the environment data analysis unit, and the environment data analysis unit performs data analysis on the real-time environment of the protective suit; the server generates a usage data analysis signal and sends the usage data analysis signal to the usage data analysis unit, and the usage data analysis unit is used for analyzing the usage of the protective clothing used in real time; the server generates an analysis alarm signal and sends the analysis alarm signal to the analysis alarm unit, and the analysis alarm unit performs early warning analysis on an analysis object which completes data analysis.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (4)
1. The protective suit background data acquisition and alarm system based on the Internet of things is characterized by comprising a data acquisition and analysis platform, wherein a server is arranged in the data acquisition and analysis platform and is in communication connection with an environmental data analysis unit, a use data analysis unit and an analysis and alarm unit;
the data acquisition and analysis platform is used for carrying out data acquisition and analysis on the protective clothing and judging whether the real-time running state of the protective clothing is abnormal or not; the server generates an environment data analysis signal and sends the environment data analysis signal to the environment data analysis unit, and the environment data analysis unit performs data analysis on the real-time environment of the protective suit; the server generates a usage data analysis signal and sends the usage data analysis signal to the usage data analysis unit, and the usage data analysis unit is used for analyzing the usage of the protective clothing used in real time; the server generates an analysis alarm signal and sends the analysis alarm signal to the analysis alarm unit, and the analysis alarm unit performs early warning analysis on an analysis object which completes data analysis.
2. The internet-of-things-based protective clothing background data acquisition alarm system as claimed in claim 1, wherein the environmental data analysis process of the environmental data analysis unit is as follows:
marking the protective clothing which is put into use as an analysis object, carrying out data acquisition on the analysis object, setting a mark i to be a natural number larger than 1, acquiring the difference value between the real-time internal temperature and the real-time external temperature of the analysis object, and marking the difference value between the real-time internal temperature and the real-time external temperature of the analysis object as WDCi; acquiring a difference value between real-time internal humidity and real-time external humidity of an analysis object, and marking the difference value between the real-time internal humidity and the real-time external humidity of the analysis object as SDCI; acquiring a real-time temperature difference value floating value and a real-time humidity difference value floating value of an analysis object, and respectively marking the real-time temperature difference value floating value and the real-time humidity difference value floating value of the analysis object as WFDi and SFDi;
the real-time environment data analysis coefficient Xi of the analysis object is obtained through analysis, and the real-time environment data analysis coefficient of the analysis object is compared with a real-time environment data analysis coefficient threshold value:
if the real-time environment data analysis coefficient of the analysis object exceeds the real-time environment data analysis coefficient threshold, judging that the real-time environment data analysis of the corresponding analysis object is unqualified, generating an environment risk signal, sending the environment risk signal and the number of the corresponding analysis object to a server, after receiving the environment risk signal, carrying out time control according to the environment data of the analysis object by the server, and if any data in the environment data of the analysis object exceeds the corresponding threshold, stopping using the corresponding analysis object;
and if the real-time environment data analysis coefficient of the analysis object does not exceed the real-time environment data analysis coefficient threshold, judging that the real-time environment data of the corresponding analysis object is qualified in analysis, generating an environment normal signal and sending the environment normal signal and the number of the corresponding analysis object to the server.
3. The internet-of-things-based protective suit background data acquisition alarm system as claimed in claim 1, wherein the usage data analysis process of the usage data analysis unit is as follows:
the method comprises the following steps of collecting the real-time use time of an analysis object, comparing the corresponding real-time use time with the current system time to obtain a real-time use time period, collecting the frequency of putting on and taking off the analysis object by a user in the real-time use period and the placement time length of the analysis object when the analysis object is not used, and comparing the frequency of putting on and taking off the analysis object by the user in the real-time use period and the placement time length of the analysis object when the analysis object is not used with a putting-on and taking-off frequency threshold value and a placement time length threshold value respectively: if the frequency of putting the analysis object on and off exceeds the putting-on and taking-off frequency threshold value or the placing time length of the analysis object when not used exceeds the placing time length threshold value, judging that the use data of the analysis object is unqualified, generating a use abnormal signal and sending the use abnormal signal to a server; if the frequency of putting on and taking off the analysis object by the user in the real-time use section does not exceed the putting-on and taking-off frequency threshold value and the placing time length of the analysis object when the analysis object is not used does not exceed the placing time length threshold value, the use data of the analysis object is judged to be qualified through analysis, a normal use signal is generated, and the normal use signal is sent to the server.
4. The internet-of-things-based protective clothing background data acquisition alarm system as claimed in claim 1, wherein the analysis alarm process of the analysis alarm unit is as follows:
acquiring the occurrence frequency of the environment risk signal corresponding to the analysis object and the occurrence duration of the abnormal use signal corresponding to the analysis object, and comparing the occurrence frequency of the environment risk signal corresponding to the analysis object and the occurrence duration of the abnormal use signal corresponding to the analysis object with an occurrence frequency threshold and an occurrence duration threshold respectively:
if the occurrence frequency of the environmental risk signals corresponding to the analysis object exceeds the occurrence frequency threshold value or the occurrence time of the abnormal signals corresponding to the analysis object exceeds the occurrence time threshold value, judging that the corresponding protective clothing is abnormal, generating a safety alarm signal and sending the safety alarm signal and the number of the corresponding protective clothing to the server;
if the occurrence frequency of the environmental risk signal corresponding to the analysis object does not exceed the occurrence frequency threshold value and the occurrence time length of the abnormal signal corresponding to the analysis object does not exceed the occurrence time length threshold value, judging that the corresponding protective clothing is normal, generating a safe normal signal and sending the safe normal signal and the number of the corresponding protective clothing to the server.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115101187A (en) * | 2022-07-14 | 2022-09-23 | 西南医科大学附属医院 | Anesthesia machine operation fault prediction system based on big data |
| CN116862248A (en) * | 2023-04-27 | 2023-10-10 | 北京健卫病媒有害生物防控中心 | Deinsectization and deratization sanitary safety protection system and method |
-
2022
- 2022-02-22 CN CN202210162156.4A patent/CN114726887A/en not_active Withdrawn
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115101187A (en) * | 2022-07-14 | 2022-09-23 | 西南医科大学附属医院 | Anesthesia machine operation fault prediction system based on big data |
| CN116862248A (en) * | 2023-04-27 | 2023-10-10 | 北京健卫病媒有害生物防控中心 | Deinsectization and deratization sanitary safety protection system and method |
| CN116862248B (en) * | 2023-04-27 | 2024-04-19 | 北京健卫病媒有害生物防控中心 | Deinsectization and deratization sanitary safety protection system and method |
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