CN115714794A - Internet of things intelligent acquisition device based on information acquisition - Google Patents
Internet of things intelligent acquisition device based on information acquisition Download PDFInfo
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Abstract
The invention belongs to the technical field of acquisition equipment, and particularly relates to an intelligent acquisition device of an internet of things based on information acquisition, which comprises an acquisition equipment body and an internet of things acquisition and analysis platform, wherein an acquisition equipment mounting plate is fixedly arranged on the back surface of the acquisition equipment body, the acquisition equipment mounting plate is connected with an acquisition equipment fixing plate through an anti-collision protection mechanism, a detection and adsorption mechanism is arranged on the back surface of the acquisition equipment fixing plate, and the internet of things acquisition and analysis platform comprises a processor, a household appliance information acquisition and monitoring module, an environmental safety information acquisition and monitoring module, an equipment stability feedback module and a screen display self-adaptive module; the household appliance risk analysis system has the advantages that household appliance risk analysis is realized through the household appliance information acquisition monitoring module, the equipment stability feedback module monitors the installation stability of the acquisition equipment body, the screen display self-adaptive module performs display analysis to determine the corresponding display mode, the environmental safety information acquisition monitoring module performs indoor environment analysis monitoring, and the household appliance risk analysis system is multifunctional and high in intelligent degree.
Description
Technical Field
The invention relates to the technical field of acquisition equipment, in particular to an intelligent acquisition device of an internet of things based on information acquisition.
Background
The internet of things is a network for connecting any article with the internet according to an agreed protocol for information exchange and communication through information sensing equipment so as to realize intelligent identification, positioning, tracking, monitoring and management, is an extension and an extension of the internet, is still the internet in core and foundation, and is used for realizing information exchange and communication among the article and the person;
when indoor information is collected through the Internet of things collection equipment, indoor temperature and humidity information is mainly collected and is adjusted based on the indoor temperature information and the humidity information, indoor environment information collection and analysis, household appliance condition information collection and analysis, collection equipment installation stability analysis and screen self-adaptive analysis and display cannot be associated, and the intelligent household appliance is single in function and low in intelligence degree;
in view of the above technical drawbacks, a solution is proposed.
Disclosure of Invention
The invention aims to provide an intelligent acquisition device of the Internet of things based on information acquisition, and solves the problems that in the prior art, the indoor environment information acquisition and analysis, the household appliance condition information acquisition and analysis, the acquisition equipment installation stability analysis and the screen self-adaptive analysis display cannot be associated with each other, the function is single, and the intelligent degree is low because the indoor temperature and humidity information is mainly acquired and the indoor temperature and humidity information is adjusted based on the indoor temperature and humidity information.
In order to achieve the purpose, the invention provides the following technical scheme:
an intelligent acquisition device of the internet of things based on information acquisition comprises an acquisition device body and an acquisition and analysis platform of the internet of things, wherein an information display module, a human body proximity sensor and a scanning identification module are installed on the front surface of the acquisition device body, an acousto-optic early warning module and a vibration sensor are fixedly arranged at the top of the acquisition device body, an acquisition device mounting plate is fixedly arranged on the back surface of the acquisition device body through bolts, the acquisition device mounting plate is connected with an acquisition device fixing plate through an anti-collision protection mechanism, and a detection adsorption mechanism is installed on the back surface of the acquisition device fixing plate;
the detection adsorption mechanism comprises a plurality of groups of adsorption discs fixed on the back of an acquisition equipment fixing plate, a communication cavity is formed in the middle position in the acquisition equipment fixing plate and is communicated with each group of adsorption discs through a multi-component flow pipe, a charging and discharging pipe communicated with the communication cavity is fixedly arranged on the front of the acquisition equipment fixing plate, valves are arranged on the charging and discharging pipe and each component flow pipe, and an air pressure sensor is arranged in each adsorption disc;
the system comprises an Internet of things acquisition and analysis platform, a scanning and identification module, a human body proximity sensor, a vibration sensor and an air pressure sensor, wherein the Internet of things acquisition and analysis platform is in communication connection with an information display module, an acousto-optic early warning module, a scanning and identification module, a human body proximity sensor, a vibration sensor and an air pressure sensor, the Internet of things acquisition and analysis platform comprises a processor, a data storage module, a household appliance information acquisition and monitoring module, an environmental safety information acquisition and monitoring module, an equipment stability feedback module and a screen display self-adaptive module, and the processor is in communication connection with the data storage module, the household appliance information acquisition and monitoring module, the environmental safety information acquisition and monitoring module, the equipment stability feedback module and the screen display self-adaptive module;
the household appliance information acquisition monitoring module is used for carrying out household appliance risk analysis on household appliances in the monitoring area of the acquisition device body, generating a household appliance risk early warning signal when the corresponding monitoring device i is in danger in electric power operation in a monitoring period, and sending the corresponding monitoring device i and the household appliance risk early warning signal to the processor; when the processor receives the household appliance risk early warning signal, the processor sends the corresponding monitoring device i and the household appliance risk early warning signal to the information display module for displaying, and sends an early warning instruction to the acousto-optic early warning module so that the acousto-optic early warning module gives out early warning;
the environment safety information acquisition monitoring module is used for analyzing the environment condition of the indoor environment where the acquisition equipment body is located, generating an environment unqualified signal or an environment qualified signal, sending the environment unqualified signal or the environment qualified signal to the processor, sending the environment unqualified signal or the environment qualified signal to the information display module by the processor for display, and sending an early warning instruction to the acousto-optic early warning module when receiving the environment unqualified signal so that the acousto-optic early warning module gives out early warning;
the device stability feedback module is used for analyzing the installation stability of the acquisition device body, generating a stability unqualified signal, a device normal signal or a device abnormal signal and sending the signals to the processor, the processor sends the stability unqualified signal, the device normal signal or the device abnormal signal to the information display module for displaying, and sends an early warning instruction to the acousto-optic early warning module when receiving the stability unqualified signal or the device abnormal signal so that the acousto-optic early warning module sends out early warning.
Further, when the human body proximity sensor senses that a person exists in front of the acquisition equipment body, the scanning recognition module scans and photographs the person in front of the acquisition equipment body, a preset user image is called through the data storage module, the scanned image is compared with the preset user image, if the scanned image is matched with one group of the preset user images, the person in front of the acquisition equipment body is judged to be a matched user, and if an image matched with the scanned image does not exist in the preset user image, the person in front of the acquisition equipment body is judged to be an unrelated person; when judging that the personnel in front of the acquisition equipment body are matched users, the processor generates display analysis signals and sends the display analysis signals to the screen display self-adaptive module.
Further, the screen display adaptive module performs display analysis after receiving the display analysis signal, and the specific operation process of the display analysis is as follows:
the method comprises the steps of obtaining station position information of a matched user at the current time, wherein the station position information comprises a spacing value, an eye angle value and a ring brightness value of the matched user at the current time, and are respectively marked as JZ, YZ and HZ, the spacing value represents horizontal straight line distance data of the matched user from an acquisition device body, the eye angle value represents included angle data between eyes of the matched user and the acquisition device body, and the ring brightness value represents current brightness data of the environment where the acquisition device body is located;
by the formula
Carrying out numerical calculation to obtain the currentThe human feedback coefficient RKX at the moment; wherein tu1, tu2 and tu3 are preset weight coefficients, the values of tu1, tu2 and tu3 are all larger than zero, tu2 is larger than tu1 and smaller than tu3, omega is a preset correction coefficient, and the value of omega is larger than zero;
calling a human feed coefficient gradient interval set X through a data storage module, wherein the human feed coefficient gradient interval set X = { T1, T2, T3, \8230 =, tn }, n is a positive integer and is more than or equal to 3; comparing the value of the human feedback coefficient RKX at the current moment with each gradient interval in the human feedback coefficient gradient interval set X, determining the gradient interval where the human feedback coefficient RKX at the current moment is located, and marking the gradient interval as a selected interval;
calling a display mode set Y through a data storage module, wherein the display mode set Y = { M1, M2, M3, \8230;, mn }, the display mode set Y and a human feed coefficient gradient interval set X are in a one-to-one mapping relation, tx1, tx2, tx3, \8230;, tn and M1, M2, M3, \8230;, and Mn correspond to one another; mn = { Ln, zn }, ln represents a display brightness value corresponding to the n-level display mode, and Zn represents a display font size value corresponding to the n-level display mode;
and determining a display mode corresponding to the selected interval and marking the display mode as the selected mode based on the selected interval and the mapping relation between the display mode set Y and the human feedback coefficient gradient interval set X, sending the selected mode to an information display module through a processor, and displaying information by the information display module in a bright screen mode according to a display brightness value and a display font size value corresponding to the selected mode.
Further, the specific operation process of the household appliance information acquisition monitoring module comprises:
acquiring household appliances in a supervision area of a collection device body, and marking the household appliances in operation as supervision devices i, i = {1,2,3, \8230;, g }, wherein g is a positive integer greater than 1; setting a household appliance monitoring time period, and dividing the time intervals such as the household appliance monitoring time period into a plurality of monitoring sub-time periods u, u = {1,2,3, \8230;, k }, wherein k is a positive integer greater than 1; acquiring a line timing value XZi and a line anomaly value XYi of a monitoring device i in a monitoring period through analysis; by the formula
Performing numerical analysis to obtain a power safety factor DXi of the supervision equipment i in a monitoring period, wherein e is a correction factor of a fixed numerical value, and the value of e is greater than zero;
the method comprises the steps of calling a power safety coefficient threshold value through a data storage module, comparing the power safety coefficient DXi with the power safety coefficient threshold value, judging that the corresponding supervision equipment i runs safely in the power of a monitoring period if the power safety coefficient DXi is smaller than the power safety coefficient threshold value, and otherwise, judging that the corresponding supervision equipment i runs dangerously in the power of the monitoring period and generates household appliance risk early warning signals.
Further, a specific process of obtaining the line timing value XZi and the line anomaly value XYi of the supervision device i in the monitoring period through analysis is as follows:
acquiring power line information of a monitoring device i, wherein the power line information comprises a voltage value and a current value of the monitoring device i in a monitoring sub-period u, acquiring a preset voltage range and a preset current range of the corresponding monitoring device i through a data storage module, performing difference calculation on the voltage value and a corresponding preset voltage range median value, taking an absolute value to acquire voltage deviation data, performing difference calculation on the current value and a corresponding preset current range median value, taking an absolute value to acquire current deviation data, and marking the voltage deviation data and the current deviation data as Yi and Liu respectively;
calling a preset voltage deviation threshold and a preset flow deviation threshold of a corresponding monitoring device i through a data storage module, respectively comparing voltage deviation data Yi and flow deviation data Liu with a preset tabletting threshold and a preset flow deviation threshold, if the voltage deviation data Yi and the flow deviation data Liu are both smaller than the corresponding thresholds, judging that a power line of the monitoring device i in a monitoring sub-period u is normal and marking the power line as a normal sub-period, and otherwise marking the corresponding monitoring sub-period u as an abnormal sub-period; and acquiring the number of normal sub-periods and the number of abnormal sub-periods of the monitoring device i in the monitoring period through statistical analysis, and respectively marking as a line timing value XZi and a line abnormal value XYi.
Further, the specific operation process of the device stability feedback module includes:
setting a gas pressure monitoring time interval, and marking the adsorption discs as t, t = {1,2,3, \8230;, j }, wherein j is the number of the adsorption discs and j is a positive integer greater than 3; acquiring internal air pressure data of the adsorption disc in an air pressure monitoring period and marking the internal air pressure data as QYt; a preset air pressure threshold value is called through a data storage module, air pressure data and the air pressure data threshold value are compared, if the air pressure data are smaller than the preset air pressure threshold value, the corresponding adsorption disc is marked as a stable adsorption disc, and if the air pressure data are larger than or equal to the preset air pressure threshold value, the corresponding adsorption disc is marked as an abnormal adsorption disc;
if an abnormal adsorption disc exists, generating a signal with unqualified stability; if no abnormal adsorption disc exists, performing difference calculation on a preset air pressure threshold value and air pressure data to obtain an air threshold difference coefficient YYYt, establishing an air threshold difference set { YY1, YY2, YY3, \ 8230;, YYyj }, performing mean value calculation and variance calculation on the air pressure set, and obtaining an air threshold difference mean value QJ and an air threshold difference deviation value QP;
acquiring a preset difference average threshold value and a preset difference deviation threshold value through a data storage module, respectively comparing a gas threshold difference mean value and a gas threshold difference deviation value with the preset difference average threshold value and the preset difference deviation threshold value, if the gas threshold difference mean value is greater than or equal to the preset difference average threshold value and the gas threshold difference deviation value is less than the preset difference deviation threshold value, generating a stability qualified signal, and otherwise, generating a stability unqualified signal;
when a stability qualified signal is generated, vibration data of the acquisition equipment body in an air pressure monitoring period is obtained and marked as ZD, numerical calculation is carried out on the vibration data ZD, an air threshold difference mean value QJ and an air threshold difference deviation value QP to obtain an equipment stable value, a preset equipment stable value threshold value is obtained through a data storage module, the equipment stable value threshold value is compared with the equipment stable value threshold value, if the equipment stable value is larger than or equal to the equipment stable value threshold value, an equipment normal signal is generated, and otherwise, an equipment abnormal signal is generated.
Further, the specific operation process of the environmental safety information acquisition monitoring module comprises:
acquiring current environmental information of an indoor environment where the acquisition equipment body is located, wherein the environmental information comprises dust concentration, carbon dioxide concentration, oxygen concentration, formaldehyde concentration, temperature data and humidity data, and performing numerical calculation on the dust concentration, the carbon dioxide concentration, the oxygen concentration, the formaldehyde concentration, the temperature data and the humidity data to acquire a current environmental expression coefficient;
and calling a preset environment performance coefficient threshold value through a data storage module, comparing the environment performance coefficient with the environment performance threshold value, if the environment performance coefficient is larger than or equal to the environment performance threshold value, generating an environment unqualified signal, and if the environment performance coefficient is smaller than the environment performance threshold value, generating an environment qualified signal.
Furthermore, the processor is in communication connection with the server, the server is in communication connection with the user intelligent terminal, the processor sends the household appliance risk early warning signal and the corresponding supervision device i, the unqualified stability signal or the abnormal device signal and the unqualified environment signal to the user intelligent terminal through the server, and the corresponding user can know the household appliance risk condition, the installation stability condition of the device body and the abnormal indoor environment condition in time.
Further, prevent bumping protection mechanism including fixed first installation piece that sets up in collection equipment mounting panel both sides and the fixed second installation piece that sets up in collection equipment fixed plate both sides, first installation piece is located the dead ahead of second installation piece, the second installation piece is towards the fixed buffer beam that sets up in one side of first installation piece, the buffer beam pass correspond first installation piece and with connecting block fixed connection, and fixed buffer spring that sets up between first installation piece and the second installation piece.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the household electrical appliance monitoring system, household electrical appliance risk analysis is carried out on household electrical appliances in a monitoring area of an acquisition device body through a household electrical appliance information acquisition monitoring module, a household electrical appliance risk early warning signal is generated and sent to a processor when the electric power operation danger of the household electrical appliances is judged, the processor sends a corresponding monitoring device i and the household electrical appliance risk early warning signal to an information display module for displaying, the acousto-optic early warning module gives out early warning, a corresponding user can know the household electrical appliance risk condition of a monitored environment in time, and can take corresponding measures in time when the household electrical appliance risk occurs, and the safety of the corresponding environment is guaranteed;
2. according to the invention, the installation stability of the acquisition equipment body is analyzed through the equipment stability feedback module, after a stability unqualified signal, an equipment normal signal or an equipment abnormal signal is generated, a corresponding signal is sent to the information display module through the processor for displaying, and when the stability unqualified signal or the equipment abnormal signal is generated, the acousto-optic early warning module sends out early warning, so that the acquisition equipment body is prevented from falling and being damaged due to poor installation stability;
3. according to the invention, whether a person in front of the acquisition equipment body is a matched user is judged through the scanning identification module, when the person in front of the acquisition equipment body is judged to be the matched user, the screen display self-adaptive module performs display analysis to determine a corresponding display mode and marks the display mode as a selected mode, the information display module performs information display according to a display brightness value and a display font size value corresponding to the selected mode, automatic adaptive adjustment of display brightness and display font size is realized, the matched user is facilitated to clearly see display information on the information display module, and when the matched user leaves, the information display module on the acquisition equipment body is in a screen-off state, the energy consumption is facilitated to be reduced, and the energy is saved;
4. according to the invention, an environmental condition of an indoor environment where an acquisition equipment body is located is analyzed through an environmental information acquisition monitoring module to generate an environmental unqualified signal or an environmental qualified signal, the environmental unqualified signal or the environmental qualified signal is sent to an information display module through a processor for displaying, and an early warning instruction is sent to an acousto-optic early warning module when the environmental unqualified signal is received, so that the acousto-optic early warning module gives an early warning, the monitoring of the indoor environment is realized, and corresponding personnel are reminded to regulate and control; the intelligent household appliance control system has the advantages that indoor environment information collection and analysis, household appliance condition information collection and analysis, collection equipment installation stability analysis and screen self-adaption analysis are integrated and correlated, functions are various, and the intelligent degree is high.
Drawings
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 view of the overall structure of the present invention;
FIG. 2 is a schematic top view of the present invention;
FIG. 3 is a rear view of a fixed plate of the acquisition device of the present invention;
FIG. 4 is a communication block diagram of an Internet of things acquisition and analysis platform according to the invention;
FIG. 5 is a system block diagram of an Internet of things acquisition and analysis platform according to the present invention;
FIG. 6 is a block diagram of the communication between the processor, the server and the user's intelligent terminal in the present invention;
fig. 7 is an enlarged view of the crash protection mechanism of fig. 2.
Reference numerals are as follows: 1. collecting an equipment body; 2. collecting equipment mounting plates; 3. an information display module; 4. an acousto-optic early warning module; 5. a scanning identification module; 6. a human proximity sensor; 7. an anti-collision protection mechanism; 71. a buffer rod; 72. a buffer spring; 73. a first mounting block; 74. connecting blocks; 75. a second mounting block; 8. collecting an equipment fixing plate; 9. detecting the adsorption mechanism; 91. an adsorption tray; 92. a communicating cavity; 93. a shunt tube; 94. an air charging and discharging pipe; 95. an air pressure sensor; 10. a vibration sensor.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious 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.
The first embodiment is as follows:
as shown in fig. 1-4, the intelligent acquisition device of the internet of things based on information acquisition provided by the invention comprises an acquisition device body 1 and an acquisition and analysis platform of the internet of things, wherein an information display module 3, a human body proximity sensor 6 and a scanning identification module 5 are installed on the front surface of the acquisition device body 1, an acousto-optic early warning module 4 and a vibration sensor 10 are fixedly arranged on the top of the acquisition device body 1, the vibration sensor 10 acquires vibration data of the acquisition device body 1, an acquisition device mounting plate 2 is fixedly arranged on the back surface of the acquisition device body 1 through bolts, the acquisition device mounting plate 2 is connected with an acquisition device fixing plate 8 through an anti-collision protection mechanism 7, and a detection adsorption mechanism 9 is installed on the back surface of the acquisition device fixing plate 8; the acousto-optic early warning module 4 is an acousto-optic alarm and emits alarm sound and flickers light to improve the reminding effect;
the detection adsorption mechanism 9 comprises a plurality of groups of adsorption discs 91 fixed on the back of the collection equipment fixing plate 8, a communication cavity 92 is formed in the middle position inside the collection equipment fixing plate 8, the communication cavity 92 is communicated with each group of adsorption discs 91 through a plurality of groups of shunt tubes 93, a charging and discharging pipe 94 communicated with the communication cavity 92 is fixedly arranged on the front of the collection equipment fixing plate 8, valves are mounted on the charging and discharging pipe 94 and each group of shunt tubes 93, and an air pressure sensor 95 is mounted in each adsorption disc 91; simultaneously pumping out air in each group of adsorption discs 91 through the air charging and discharging pipe 94 to enable the adsorption discs 91 to be in negative pressure, adsorbing the adsorption discs 91 on the wall surface, and then closing the air charging and discharging pipe 94 and valves on each component flow pipe 93 to enable the adsorption discs 91 to be in a negative pressure state;
the internet of things collection and analysis platform is in communication connection with an information display module 3, an acousto-optic early warning module 4, a scanning identification module 5, a human body proximity sensor 6, a vibration sensor 10 and an air pressure sensor 95, and comprises a processor, a data storage module, a household appliance information collection and monitoring module, an equipment stability feedback module and a screen display self-adaptive module, wherein the processor is in communication connection with the data storage module, the household appliance information collection and monitoring module, the equipment stability feedback module and the screen display self-adaptive module;
household electrical appliances information acquisition monitoring module carries out household electrical appliances risk analysis to the household electrical appliances in the 1 supervisory area of collection equipment body, and household electrical appliances information acquisition monitoring module's specific operation process is as follows:
s1, acquiring household appliances in a supervision area of a collection device body 1, and marking the household appliances in operation as supervision devices i, i = {1,2,3, \ 8230;, g }, wherein g is a positive integer greater than 1;
s2, setting a household appliance monitoring time period, and dividing the time intervals such as the household appliance monitoring time period into a plurality of monitoring sub-time periods u, u = {1,2,3, \8230, k }, wherein k is a positive integer greater than 1;
s3, acquiring a line timing value XZi and a line anomaly value XYi of the monitoring device i in a monitoring period through analysis; the specific process of analysis is as follows:
s31, acquiring power line information of the monitoring device i, wherein the power line information comprises a voltage value and a current value of the monitoring device i in a monitoring sub-period u;
step S32, acquiring a preset voltage range and a preset current range of the corresponding monitoring device i through a data storage module, performing difference calculation on a voltage value and a corresponding preset voltage range median value, and taking an absolute value to acquire voltage deviation data, performing difference calculation on a current value and a corresponding preset current range median value, and taking an absolute value to acquire current deviation data, and marking the voltage deviation data and the current deviation data as Yiu and Liu respectively;
step S33, a preset voltage deviation threshold and a preset flow deviation threshold corresponding to the monitoring equipment i are called through the data storage module, voltage deviation data Yi u and flow deviation data Liu are compared with a preset tabletting threshold and a preset flow deviation threshold respectively, if the voltage deviation data Yi u and the flow deviation data Liu are both smaller than the corresponding thresholds, the power line of the monitoring equipment i in a monitoring sub-period u is judged to be normal and marked as a normal sub-period, and if the voltage deviation data Yi u and the flow deviation data Liu are not smaller than the corresponding thresholds, the corresponding monitoring sub-period u is marked as an abnormal sub-period;
step S34, acquiring the number of normal sub-periods and the number of abnormal sub-periods of the monitoring device i in a monitoring period through statistical analysis, and respectively marking the numbers as a line timing value XZi and a line abnormal value XYi;
step S4, passing formula
Carrying out numerical analysis to obtain a power safety coefficient DXi of the monitoring equipment i in a monitoring period, wherein e is a correction factor of a fixed numerical value and the value of e is greater than zero;
and S5, calling a power safety coefficient threshold value through the data storage module, comparing the power safety coefficient DXi with the power safety coefficient threshold value, if the power safety coefficient DXi is smaller than the power safety coefficient threshold value, judging that the corresponding monitoring equipment i runs safely in the power operation period, and otherwise, judging that the corresponding monitoring equipment i runs dangerously in the power operation period and generates a household appliance risk early warning signal. When the processor receives the household appliance risk early warning signal, the processor sends the corresponding monitoring equipment i and the household appliance risk early warning signal to the information display module 3 for displaying, and sends an early warning instruction to the acousto-optic early warning module 4 so that the acousto-optic early warning module 4 sends out early warning, and the processor is helpful for a corresponding user to know the household appliance risk condition of the monitoring environment in time and make a response measure in time when the household appliance risk occurs.
The equipment stability feedback module is used for analyzing the installation stability of the acquisition equipment body 1, and the specific operation process of the equipment stability feedback module is as follows:
step P1, setting a pressure monitoring time interval, and marking the adsorption discs 91 as t, t = {1,2,3, \8230;, j }, wherein j is the number of the adsorption discs 91 and j is a positive integer greater than 3;
step P2, obtaining the internal air pressure data of the adsorption disc 91 in the air pressure monitoring period and marking the data as QYt, wherein the air pressure data represents the internal average air pressure value of the adsorption disc 91 in the air pressure monitoring period and is acquired by an air pressure sensor 95;
a preset air pressure threshold value is called through a data storage module, air pressure data and the air pressure data threshold value are compared, if the air pressure data is smaller than the preset air pressure threshold value, the corresponding adsorption disc 91 is marked as a stable adsorption disc, and if the air pressure data is larger than or equal to the preset air pressure threshold value, the corresponding adsorption disc 91 is marked as an abnormal adsorption disc;
step P3, if an abnormal adsorption disc exists, generating an unqualified stability signal, if the abnormal adsorption disc does not exist, performing difference calculation on a preset air pressure threshold value and air pressure data to obtain an air threshold difference coefficient YYYt, establishing an air threshold difference set { YY1, YY2, YY3, \ 8230, YYj }, performing mean value calculation and variance calculation on the air pressure set, and obtaining an air threshold difference mean value QJ and an air threshold difference deviation value QP;
p4, acquiring a preset difference average threshold value and a preset difference deviation threshold value through a data storage module, respectively comparing a gas threshold difference mean value and a gas threshold difference deviation value with the preset difference average threshold value and the preset difference deviation threshold value, if the gas threshold difference mean value is greater than or equal to the preset difference average threshold value and the gas threshold difference deviation value is less than the preset difference deviation threshold value, generating a stability qualified signal, and otherwise, generating a stability unqualified signal;
p5, acquiring vibration data of the collection equipment body 1 in an air pressure monitoring period when the stability qualified signal is generated, and marking the vibration data as ZD; the vibration data ZD represents the data quantity value of the vibration amplitude and the vibration frequency of the collecting device body 1 in the air pressure monitoring period and is collected by the vibration sensor 10;
by the formula
Carrying out numerical calculation on the vibration data ZD, the air threshold difference mean value QJ and the air threshold difference deviation value QP to obtain an equipment stable value SWZ, and obtaining a preset equipment stable value threshold value through a data storage module; wherein tg1, tg2 and tg3 are preset proportionality coefficients with fixed values, tg1, tg2 and tg3 are all larger than zero, and tg2 is larger than tg1 and tg3; the larger the value of the equipment stability value SWZ is, the better the stability of the acquisition equipment body 1 in the air pressure monitoring period is;
and P6, comparing the equipment stability value SWZ with the equipment stability value threshold, if the equipment stability value SWZ is larger than or equal to the equipment stability value threshold, generating an equipment normal signal, otherwise, generating an equipment abnormal signal.
Generate the unqualified signal of stability, will correspond signal transmission to the treater behind equipment normal signal or the equipment abnormal signal, the treater is with the unqualified signal of stability, equipment normal signal or equipment abnormal signal send information display module 3 and show, and send early warning instruction to reputation early warning module 4 so that reputation early warning module 4 sends the early warning when receiving the unqualified signal of stability or equipment abnormal signal, corresponding user is when receiving early warning information, in time look over each group's adsorption disc 91's installation situation and adsorption effect situation, and in time turn down the atmospheric pressure that corresponds in the adsorption disc 91 in order to guarantee the fixed effect of absorption, and in time change corresponding adsorption disc 91 when the adsorption disc 91 appears damaging, help preventing to lead to the collection equipment body 1 to drop and damage because of installation stability is not good.
When the human body proximity sensor 6 senses that a person exists in front of the acquisition equipment body 1, the scanning recognition module 5 scans and takes a picture of the person in front of the acquisition equipment body 1, a preset user image is called through the data storage module, the scanned image is compared with the preset user image, if the scanned image is matched with one group of the preset user image, the person in front of the acquisition equipment body 1 is judged to be a matched user, and if the preset user image does not have an image matched with the scanned image, the person in front of the acquisition equipment body 1 is judged to be an unrelated person; when the matched user does not check the information, the information display module 3 on the acquisition equipment body 1 is in a screen-off state, so that the energy consumption is reduced, and the energy is saved;
when the person in front of the acquisition equipment body 1 is judged to be a matched user, the processor generates a display analysis signal and sends the display analysis signal to the screen display self-adaptive module; the screen display self-adaptive module performs display analysis after receiving the display analysis signal, and the specific operation process of the display analysis is as follows:
step D1, station information of a matched user at the current moment is obtained, the station information comprises a spacing value, an eye angle value and a ring brightness value of the matched user at the current moment, the spacing value is marked as JZ, YZ and HZ respectively, the spacing value represents horizontal straight line distance data of the matched user from the acquisition device body 1 at the current moment, the eye angle value represents included angle data between eyes of the matched user and the acquisition device body 1 at the current moment (when the included angle data is zero, the eyes of the matched user and the acquisition device body 1 are positioned on the same horizontal line), and the ring brightness value represents current brightness data of the environment where the acquisition device body 1 is positioned;
step D2, passing through a formula
Carrying out numerical calculation to obtain a feed coefficient RKX at the current moment; wherein tu1, tu2 and tu3 are preset weighting coefficients, the values of tu1, tu2 and tu3 are all larger than zero, tu2 is larger than tu1 and smaller than tu3, omega is a preset correction coefficient, and the value of omega is larger than zero;
it should be noted that the feedforward coefficient RKX is in a direct proportion relationship with the distance value, the eye angle value and the ring brightness value, and the larger the value of the distance value is, the larger the value of the eye angle value is and the larger the value of the ring brightness value is, the larger the value of the feedforward coefficient RKX is, which indicates that the difficulty that the corresponding matching user wants to clearly see the display information on the information display module 3 is, so that the font size needs to be increased and the display brightness needs to be improved;
d3, calling a human feed coefficient gradient interval set X through a data storage module, wherein the human feed coefficient gradient interval set X = { T1, T2, T3, \ 8230, tn }, n is a positive integer and is not less than 3; comparing the value of the human feedback coefficient RKX at the current moment with each gradient interval in the human feedback coefficient gradient interval set X, determining the gradient interval where the human feedback coefficient RKX at the current moment is located, and marking the gradient interval as a selected interval;
d4, calling a display mode set Y through a data storage module, wherein the display mode set Y = { M1, M2, M3, \8230;, mn }, the display mode set Y and the human feed coefficient gradient interval set X are in a one-to-one mapping relation, tx1, tx2, tx3, \8230;, tn corresponds to M1, M2, M3, \8230;, and Mn corresponds to one;
wherein Mn = { Ln, zn }, ln represents a display brightness value corresponding to the n-level display mode, and Zn represents a display font size value corresponding to the n-level display mode;
and step D5, determining a display mode corresponding to the selected interval and marking the display mode as the selected mode based on the selected interval and the mapping relation between the display mode set Y and the human feedback coefficient gradient interval set X, sending the selected mode to the information display module 3 through the processor, enabling the information display module 3 to be bright and displaying information according to a display brightness value and a display font size value corresponding to the selected mode, automatically adjusting display brightness and display font size based on the station position condition and the environment brightness condition of the matched user, facilitating the matched user to clearly see the display information on the information display module 3, and achieving high intelligent degree.
Example two:
as shown in fig. 2 and 7, the present embodiment is different from embodiment 1 in that the collision-proof protection mechanism 7 includes a first mounting block 73 and a second mounting block 75, the first mounting block 73 is fixedly disposed on both sides of the collecting device mounting plate 2, the second mounting block 75 is fixedly disposed on both sides of the collecting device fixing plate 8, the first mounting block 73 is located right in front of the second mounting block 75, a buffer rod 71 is fixedly disposed on one side of the second mounting block 75 facing the first mounting block 73, the buffer rod 71 passes through the corresponding first mounting block 73 and is fixedly connected with the connecting block 74, and a buffer spring 72 is fixedly disposed between the first mounting block 73 and the second mounting block 75; in the use, when collection equipment body 1 received the strike, collection equipment body 1 moved, and buffer spring 72 cushions the power of striking that collection equipment body 1 received, can show to reduce collection equipment body 1 and cause the harm to self because of striking, plays the guard action to collection equipment body 1.
Example three:
as shown in fig. 5, the difference between this embodiment and embodiments 1 and 2 is that the internet of things collection and analysis platform further includes an environmental security information collection and monitoring module, the processor is in communication connection with the environmental security information collection and monitoring module, the environmental security information collection and monitoring module performs environmental condition analysis on the indoor environment where the collection device body 1 is located, and generates an environmental unqualified signal or an environmental qualified signal after the environmental condition analysis, and the specific operation process of the environmental security information collection and monitoring module is as follows:
acquiring current environmental information of an indoor environment in which the acquisition equipment body 1 is positioned, wherein the environmental information comprises dust concentration, carbon dioxide concentration, oxygen concentration, formaldehyde concentration, temperature data and humidity data and is respectively marked as FN, TN, YN, JN, WS and SS;
by environmental analysis of formulas
Carrying out numerical calculation on the dust concentration FN, the carbon dioxide concentration TN, the oxygen concentration YN, the formaldehyde concentration JN, the temperature data WS and the humidity data SS to obtain a current environment expression coefficient HJX; the temperature data is the absolute value of the difference between the current indoor temperature and the median in the preset suitable temperature interval, and the humidity data is the absolute value of the difference between the current indoor humidity and the median in the preset suitable humidity interval;
wherein a1, a2, a3, a4, a5 and a6 are preset weight coefficients with fixed values, the values of a1, a2, a3, a4, a5 and a6 are all larger than zero, and a4 is larger than a1, a2 is larger than a3, a5 is larger than a6; it should be noted that the larger the numerical value of the environment expression coefficient HJX is, the worse the current indoor environment condition is, otherwise, the better the current indoor environment condition is;
and calling a preset environment performance coefficient threshold value through a data storage module, comparing the environment performance coefficient HJX with the environment performance threshold value, if the environment performance coefficient HJX is more than or equal to the environment performance threshold value, generating an environment unqualified signal, and if the environment performance coefficient HJX is less than the environment performance threshold value, generating an environment qualified signal.
The environment safety information acquisition monitoring module sends an environment unqualified signal or an environment qualified signal to the processor, the processor sends the environment unqualified signal or the environment qualified signal to the information display module 3 for display, and sends an early warning instruction to the acousto-optic early warning module 4 when the environment unqualified signal is received so that the acousto-optic early warning module 4 gives out early warning, information acquisition and analysis of the indoor environment are achieved, and monitoring of the indoor environment and reminding of corresponding personnel are achieved.
Further, the processor is in communication connection with indoor environment adjusting equipment, the environment adjusting equipment comprises humidity adjusting equipment, temperature adjusting equipment, air purifying equipment, ventilating equipment and the like, and the processor sends a control instruction to the corresponding environment adjusting equipment when receiving an unqualified environment signal and adjusts the indoor environment according to the corresponding environment adjusting equipment.
Example four:
as shown in fig. 6, the difference between this embodiment and embodiments 1,2, and 3 is that the processor is communicatively connected to the server, the server is communicatively connected to the user intelligent terminal, the processor sends the household appliance risk early warning signal and the corresponding supervisory device i, the non-stability signal or the device abnormal signal, and the environment non-qualification signal to the user intelligent terminal through the server, and the corresponding user can know the household appliance risk condition, the device body installation stability condition, and the indoor environment abnormal condition in time.
The working principle of the invention is as follows: when the household appliance monitoring system is used, household appliance risk analysis is carried out on household appliances in the monitoring area of the acquisition device body 1 through the household appliance information acquisition monitoring module, whether the household appliances are safe in electric power operation or dangerous in electric power operation is judged, a household appliance risk early warning signal is generated when the electric power operation of the household appliances is judged to be dangerous and is sent to the processor, the processor sends the corresponding supervision device i and the household appliance risk early warning signal to the information display module 3 for displaying, the acousto-optic early warning module 4 gives out early warning, a corresponding user can know the household appliance risk condition of the monitored environment in time, and can take corresponding measures in time when the household appliance risk occurs, and the safety of the corresponding environment is guaranteed; the collecting device body 1 is fixed on the wall surface in an adsorption mode through the detection adsorption mechanism 9, the device stability feedback module analyzes the installation stability of the collecting device body 1, after a stability unqualified signal, a device normal signal or a device abnormal signal is generated, a corresponding signal is sent to the information display module 3 through the processor to be displayed, the acousto-optic early warning module 4 gives out early warning, and the collecting device body 1 is prevented from falling and being damaged due to poor installation stability;
when a person in front of the acquisition equipment body 1 is sensed by the human body proximity sensor 6, the scanning and identifying module 5 judges whether the person in front of the acquisition equipment body 1 is a matched user, and when the matched user does not check information, the information display module 3 on the acquisition equipment body 1 is in a screen-off state, so that the energy consumption is reduced, and the energy is saved; when the person right in front of the acquisition equipment body 1 is judged to be a matched user, the screen display self-adaptive module performs display analysis, determines a corresponding display mode through the display analysis and marks the display mode as a selected mode, the information display module 3 performs information display according to a display brightness value and a display font size value corresponding to the selected mode, and the display brightness and the display font size are automatically adjusted through analysis, so that the matching of the display information on the information display module 3 seen clearly by the user is facilitated;
the environmental security information acquisition and monitoring module analyzes the environmental condition of the indoor environment where the acquisition equipment body 1 is located, and generates an environmental unqualified signal or an environmental qualified signal after the environmental condition analysis, the environmental security information acquisition and monitoring module sends the environmental unqualified signal or the environmental qualified signal to the information display module 3 through the processor for display, and sends an early warning instruction to the acousto-optic early warning module 4 when the environmental unqualified signal is received, so that the acousto-optic early warning module 4 sends out early warning, the information acquisition and analysis of the indoor environment are realized, the monitoring of the indoor environment is realized, and corresponding personnel are reminded to regulate and control; the intelligent household appliance control system integrates and displays indoor environment information acquisition and analysis, household appliance condition information acquisition and analysis, acquisition equipment installation stability analysis and screen self-adaption analysis into a whole and is mutually associated, and has various functions and high intelligent degree.
The above formulas are all calculated by taking the numerical value of the dimension, the formula is a formula which obtains the latest real situation by acquiring a large amount of data and performing software simulation, and the preset parameters in the formula are set by the technical personnel in the field according to the actual situation.
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 form 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 understand the invention for and utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (9)
1. An intelligent collection device of the internet of things based on information collection comprises a collection device body (1) and an acquisition and analysis platform of the internet of things, and is characterized in that an information display module (3), a human body proximity sensor (6) and a scanning and recognition module (5) are installed on the front side of the collection device body (1), an acousto-optic early warning module (4) and a vibration sensor (10) are fixedly arranged on the top of the collection device body (1), a collection device mounting plate (2) is fixedly arranged on the back side of the collection device body (1) through bolts, the collection device mounting plate (2) is connected with a collection device fixing plate (8) through an anti-collision protection mechanism (7), and a detection and adsorption mechanism (9) is installed on the back side of the collection device fixing plate (8);
the detection adsorption mechanism (9) comprises a plurality of groups of adsorption discs (91) fixed on the back of the collection equipment fixing plate (8), a communication cavity (92) is formed in the middle position inside the collection equipment fixing plate (8), the communication cavity (92) is communicated with each group of adsorption discs (91) through a multi-component flow pipe (93), an air charging and discharging pipe (94) communicated with the communication cavity (92) is fixedly arranged on the front of the collection equipment fixing plate (8), valves are mounted on the air charging and discharging pipe (94) and each component flow pipe (93), and an air pressure sensor (95) is mounted in each adsorption disc (91);
the system comprises an Internet of things collection and analysis platform, a human body proximity sensor (6), a vibration sensor (10) and an air pressure sensor (95), wherein the Internet of things collection and analysis platform is in communication connection with an information display module (3), an acousto-optic early warning module (4), a scanning identification module (5), the human body proximity sensor, the vibration sensor (10) and the air pressure sensor, and comprises a processor, a data storage module, a household appliance information collection and monitoring module, an environmental safety information collection and monitoring module, an equipment stability feedback module and a screen display self-adaptive module, wherein the processor is in communication connection with the data storage module, the household appliance information collection and monitoring module, the environmental safety information collection and monitoring module, the equipment stability feedback module and the screen display self-adaptive module;
the household appliance information acquisition and monitoring module is used for carrying out household appliance risk analysis on household appliances in the monitoring area of the acquisition device body (1), generating a household appliance risk early warning signal when the corresponding monitoring device i is in danger in electric power operation in a monitoring period, and sending the corresponding monitoring device i and the household appliance risk early warning signal to the processor; when receiving the household appliance risk early warning signal, the processor sends the corresponding monitoring device i and the household appliance risk early warning signal to the information display module (3) for display, and sends an early warning instruction to the acousto-optic early warning module (4) so that the acousto-optic early warning module (4) sends out early warning;
the environment safety information acquisition monitoring module is used for analyzing the environment condition of the indoor environment where the acquisition equipment body (1) is located, generating an environment unqualified signal or an environment qualified signal, sending the environment unqualified signal or the environment qualified signal to the processor, sending the environment unqualified signal or the environment qualified signal to the information display module (3) by the processor for display, and sending an early warning instruction to the acousto-optic early warning module (4) when receiving the environment unqualified signal so that the acousto-optic early warning module (4) gives an early warning;
the device stability feedback module is used for analyzing the installation stability of the acquisition device body (1), generating a signal with unqualified stability, a signal with normal stability or an abnormal signal with abnormal equipment and sending the signal to the processor, the processor sends the signal with unqualified stability, the signal with normal equipment or the abnormal signal with abnormal equipment to the information display module (3) for displaying, and sends an early warning instruction to the acousto-optic early warning module (4) when the signal with unqualified stability or the abnormal signal with abnormal equipment is received so that the acousto-optic early warning module (4) gives an early warning.
2. The intelligent acquisition device of the internet of things based on information acquisition according to claim 1, wherein when the human body proximity sensor (6) senses that a person exists right in front of the acquisition device body (1), the scanning recognition module (5) scans and photographs the person right in front of the acquisition device body (1), a preset user image is called through the data storage module, the scanned image is compared with the preset user image, if the scanned image is matched with one group of the preset user image, the person right in front of the acquisition device body (1) is judged to be a matched user, and if an image matched with the scanned image does not exist in the preset user image, the person right in front of the acquisition device body (1) is judged to be an unrelated person; when judging that the person in front of the acquisition equipment body (1) is a matched user, the processor generates a display analysis signal and sends the display analysis signal to the screen display self-adaptive module.
3. The intelligent acquisition device of the internet of things based on information acquisition as claimed in claim 2, wherein the screen display adaptive module performs display analysis after receiving the display analysis signal, and the specific operation process of the display analysis is as follows:
acquiring station position information of a matched user at the current time, wherein the station position information comprises a space value, an eye angle value and a ring brightness value of the matched user at the current time and are respectively marked as JZ, YZ and HZ;
by the formula
Carrying out numerical calculation to obtain a feed coefficient RKX at the current moment; wherein tu1, tu2 and tu3 are preset weighting coefficients, tu1, tu2 and tu3 have values greater than zero, tu2 is greater than tu1 and smaller than tu3, and ω is a preset correction coefficient and ω is ωIs greater than zero;
calling a human feedback coefficient gradient interval set X through a data storage module, wherein the human feedback coefficient gradient interval set X = { T1, T2, T3, \8230;, tn }, n is a positive integer and is more than or equal to 3; comparing the value of the human feedback coefficient RKX at the current moment with each gradient interval in the human feedback coefficient gradient interval set X, determining the gradient interval in which the human feedback coefficient RKX at the current moment is positioned, and marking the gradient interval as a selected interval;
calling a display mode set Y through a data storage module, wherein the display mode set Y = { M1, M2, M3, \8230;, mn }, the display mode set Y and a human feed coefficient gradient interval set X are in a one-to-one mapping relation, tx1, tx2, tx3, \8230;, tn and M1, M2, M3, \8230;, and Mn correspond to one another; mn = { Ln, zn }, wherein Ln represents a display brightness value corresponding to the n-level display mode, and Zn represents a display font size value corresponding to the n-level display mode;
and determining a display mode corresponding to the selected interval and marking the display mode as the selected mode based on the selected interval and the mapping relation between the display mode set Y and the human feedback coefficient gradient interval set X, sending the selected mode to the information display module (3) through the processor, and displaying information by the information display module (3) in a bright screen mode according to a display brightness value and a display font size value corresponding to the selected mode.
4. The intelligent acquisition device of the internet of things based on information acquisition as claimed in claim 1, wherein the specific operation process of the household appliance information acquisition monitoring module comprises the following steps:
acquiring household appliances in a monitoring area of a collection device body (1), and marking the household appliances in operation as monitoring devices i, i = {1,2,3, \ 8230;, g }, g being a positive integer greater than 1; setting a household appliance monitoring time period, and dividing the time intervals such as the household appliance monitoring time period into a plurality of monitoring sub-time periods u, u = {1,2,3, \8230;, k }, wherein k is a positive integer greater than 1;
acquiring a line timing value XZi and a line anomaly value XYi of a monitoring device i in a monitoring period through analysis; by the formula
Carrying out numerical analysis to obtain a power safety coefficient DXi of the monitoring equipment i in a monitoring period, wherein e is a correction factor of a fixed numerical value and the value of e is greater than zero;
the method comprises the steps of calling a power safety coefficient threshold value through a data storage module, comparing the power safety coefficient DXi with the power safety coefficient threshold value, judging that the corresponding supervision equipment i runs safely in the power of a monitoring period if the power safety coefficient DXi is smaller than the power safety coefficient threshold value, and otherwise, judging that the corresponding supervision equipment i runs dangerously in the power of the monitoring period and generates household appliance risk early warning signals.
5. The intelligent acquisition device of the internet of things based on information acquisition as claimed in claim 4, wherein the specific process of acquiring the line timing value XZi and the line anomaly value XYi of the supervision device i in the monitoring period through analysis is as follows:
acquiring power line information of a monitoring device i, wherein the power line information comprises a voltage value and a current value of the monitoring device i in a monitoring sub-period u, acquiring a preset voltage range and a preset current range of the corresponding monitoring device i through a data storage module, performing difference calculation on the voltage value and a corresponding preset voltage range median value, taking an absolute value to acquire voltage deviation data, performing difference calculation on the current value and a corresponding preset current range median value, taking an absolute value to acquire current deviation data, and marking the voltage deviation data and the current deviation data as Yi and Liu respectively;
calling a preset voltage deviation threshold and a preset flow deviation threshold of a corresponding monitoring device i through a data storage module, respectively comparing voltage deviation data Yi and flow deviation data Liu with a preset tabletting threshold and a preset flow deviation threshold, if the voltage deviation data Yi and the flow deviation data Liu are both smaller than the corresponding thresholds, judging that a power line of the monitoring device i in a monitoring sub-period u is normal and marking the power line as a normal sub-period, and otherwise marking the corresponding monitoring sub-period u as an abnormal sub-period; and acquiring the number of normal sub-periods and the number of abnormal sub-periods of the supervision device i in the monitoring period through statistical analysis, and respectively marking as a line timing value XZi and a line anomaly value XYi.
6. The intelligent collection device of the internet of things based on information collection according to claim 1, wherein the specific operation process of the equipment stability feedback module comprises:
setting a gas pressure monitoring period, and marking the adsorption discs (91) as t, t = {1,2,3, \ 8230;, j }, wherein j is the number of the adsorption discs (91) and j is a positive integer greater than 3; acquiring internal air pressure data of the adsorption disc (91) in an air pressure monitoring period and marking the data as QYt; a preset air pressure threshold value is called through a data storage module, air pressure data and the air pressure data threshold value are compared, if the air pressure data is smaller than the preset air pressure threshold value, the corresponding adsorption disc (91) is marked as a stable adsorption disc, and if the air pressure data is larger than or equal to the preset air pressure threshold value, the corresponding adsorption disc (91) is marked as an abnormal adsorption disc;
if an abnormal adsorption disc exists, generating a signal with unqualified stability; if no abnormal adsorption disc exists, performing difference calculation on a preset air pressure threshold value and air pressure data to obtain an air threshold difference coefficient YYYt, establishing an air threshold difference set { YY1, YY2, YY3, \ 8230;, YYyj }, performing mean value calculation and variance calculation on the air pressure set, and obtaining an air threshold difference mean value QJ and an air threshold difference deviation value QP;
acquiring a preset difference average threshold value and a preset difference deviation threshold value through a data storage module, respectively comparing a gas threshold difference mean value and a gas threshold difference deviation value with the preset difference average threshold value and the preset difference deviation threshold value, if the gas threshold difference mean value is greater than or equal to the preset difference average threshold value and the gas threshold difference deviation value is less than the preset difference deviation threshold value, generating a stability qualified signal, and otherwise, generating a stability unqualified signal;
when a stability qualified signal is generated, acquiring vibration data of the acquisition equipment body (1) in an air pressure monitoring period and marking the vibration data as ZD, carrying out numerical calculation on the vibration data ZD, an air threshold difference mean value QJ and an air threshold difference deviation value QP to acquire an equipment stable value, acquiring a preset equipment stable value threshold value through a data storage module, comparing the equipment stable value with the equipment stable value threshold value, if the equipment stable value is not less than the equipment stable value threshold value, generating an equipment normal signal, otherwise, generating an equipment abnormal signal.
7. The intelligent collection device of the internet of things based on information collection according to claim 1, wherein the specific operation process of the environmental security information collection monitoring module comprises the following steps:
acquiring current environmental information of an indoor environment where the acquisition equipment body (1) is located, wherein the environmental information comprises dust concentration, carbon dioxide concentration, oxygen concentration, formaldehyde concentration, temperature data and humidity data, and performing numerical calculation on the dust concentration, the carbon dioxide concentration, the oxygen concentration, the formaldehyde concentration, the temperature data and the humidity data to acquire a current environmental expression coefficient;
and calling a preset environment performance coefficient threshold value through a data storage module, comparing the environment performance coefficient with the environment performance threshold value, if the environment performance coefficient is larger than or equal to the environment performance threshold value, generating an environment unqualified signal, and if the environment performance coefficient is smaller than the environment performance threshold value, generating an environment qualified signal.
8. The intelligent collection device of the internet of things based on information collection of claim 7, wherein the processor is in communication connection with the server, the server is in communication connection with the user intelligent terminal, the processor sends the household appliance risk early warning signal and the corresponding monitoring device i, the unqualified stability signal or the abnormal equipment signal and the unqualified environment signal to the user intelligent terminal through the server, and the corresponding user can timely know the household appliance risk condition, the installation stability condition of the equipment body and the abnormal indoor environment condition.
9. The intelligent internet of things acquisition device based on information acquisition as claimed in claim 1, wherein the anti-collision protection mechanism (7) comprises a first mounting block (73) fixedly arranged on two sides of the acquisition equipment mounting plate (2) and a second mounting block (75) fixedly arranged on two sides of the acquisition equipment fixing plate (8), the first mounting block (73) is positioned right ahead of the second mounting block (75), a buffer rod (71) is fixedly arranged on one side of the second mounting block (75) facing the first mounting block (73), the buffer rod (71) penetrates through the corresponding first mounting block (73) and is fixedly connected with the connecting block (74), and a buffer spring (72) is fixedly arranged between the first mounting block (73) and the second mounting block (75).
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