Sensor acquisition device based on Internet of Things and state dynamic regulation and control system thereof

Abstract

The invention relates to the technical field of sensors, in particular to a sensor acquisition device based on the Internet of Things and a state dynamic regulation and control system thereof.The sensor acquisition device comprises multiple sensors, serial port modules, a detection module and a main control chip, and the output ends of the multiple sensors are electrically connected with the input ends of the multiple serial port modules; the output end of the serial port module is in communication connection with the input end of the detection module, and the output end of the detection module is electrically connected with the input end of the main control chip; when the sensor transmits data to the main control chip through the serial port module, the comparison module can calculate the memory value of the data converted by the conversion module, and then the data is compressed through the comparison result, so that the memory value of the transmitted data is reduced, and the serial port module can conveniently and quickly transmit the data detected by the sensor to the main control chip; a worker can obtain sensor detection data in time, so that equipment can be operated quickly, and errors in equipment operation are avoided.

Description

Technical Field

[0001] The present invention relates to the field of sensor technology, and in particular to a sensor acquisition device based on the Internet of Things and a dynamic state control system thereof. Background Art

[0002] In recent years, with the rapid development of science and technology, automation and intelligence have become an inevitable trend of social development; as we all know, signal acquisition technology is the key link of automation and intelligence; at present, signal acquisition is mainly completed by various sensors, such as temperature sensors collect temperature signals, humidity sensors collect humidity signals, pressure sensors collect pressure signals, and so on.

[0003] For example, a wireless sensor acquisition device based on the Internet of Things with application number CN201420358047.0 and publication date 20141210 includes at least one sensor; it is characterized in that it also includes: a serial port for connecting to the sensor to obtain the acquisition signal; a JTAG adjustment interface for operating an independent, reference clock signal to test the chip; a CC2430 chip, the CC2430 chip includes an 8-bit MCU, 128KB of programmable flash memory, 8KB of RAM, and a 2.4GHz RF radio transceiver; and a power supply module for providing power to the CC2430 chip; wherein: the sensor is electrically connected to the I / O input terminal of the CC2430 chip through the serial port; the JTAG adjustment interface is electrically connected to the CC2430 chip; and the power supply module is electrically connected to the power terminal of the CC2430 chip.

[0004] For example, a multi-channel sensor data acquisition device and a data acquisition and export method with application number CN201610861671.6 and publication date 20180406, the device includes: a main control chip; a power module; a data storage module; an output serial port; a 3G module; a multi-channel sensor input interface, each input interface is connected to the main control chip, wherein at least one input interface is connected to a temperature sensor through a data line, at least one input interface is connected to a vibration sensor through a data line, at least one input interface is connected to an inclination angle sensor through a data line, and at least one input interface is connected to an RFID module through a data line; a positioning module is connected to a GPS positioning antenna through a GPS antenna. The above patent has rich data acquisition paths, and can collect data through serial ports or Can ports, is compatible with data sensors with different interfaces, and can collect data from multiple sensors and GPS positioning data at the same time; the collected data can be output in multiple ways, and can be output through a serial port or a 3G network.

[0005] Most of the sensors mentioned above and in the prior art are connected to the control device through cables. The sensors transmit the detected data to the control device through the cables. However, when the detected data is large, there will be a problem of slow data transmission speed, resulting in the control device being unable to receive the information about the equipment operation in time, which will affect the workers' judgment of the equipment, affect the workers' operation of the equipment, and cause problems in the operation of the equipment. Therefore, it is urgent to design a sensor acquisition device based on the Internet of Things and its state dynamic control system to solve the above problems. Summary of the invention

[0006] The purpose of the present invention is to provide a sensor acquisition device based on the Internet of Things and a dynamic state control system thereof to solve the above-mentioned deficiencies in the prior art.

[0007] In order to achieve the above object, the present invention provides the following technical solutions:

[0008] A sensor acquisition device based on the Internet of Things, comprising a plurality of sensors, a serial port module, a detection module and a main control chip, wherein the output ends of the plurality of sensors are electrically connected to the input ends of the plurality of serial port modules, the output ends of the serial port modules are communicatively connected to the input ends of the detection modules, the output ends of the detection modules are electrically connected to the input ends of the main control chip, the output ends of the main control chip are communicatively connected to the input ends of the serial port modules, and the output ends of the serial port modules are communicatively connected to the input ends of the plurality of sensors;

[0009] A plurality of the sensors are arranged at the signal collection position of the device to be detected, and are used to collect the operation data of the device to be detected;

[0010] The serial port module is used to connect the sensor with the main control chip and the detection module for communication;

[0011] The detection module is used to determine whether the data received by the serial port module is distorted or missing and to repair the data;

[0012] The serial port module includes a comparison module, a conversion module, a compression module, a serial port line module, an antenna module and a temporary storage module;

[0013] The serial port line module is connected with the sensor and the detection module through a serial port line;

[0014] The antenna module is connected to the detection module through WiFi communication;

[0015] The conversion module is used to convert the data received by the serial port line module and the antenna module, and the conversion module adopts a data converter;

[0016] The comparison module is used to calculate the memory value of the data converted by the conversion module to obtain a comparison value S, and the formula of the comparison value S is as follows:

[0017]

[0018] Wherein, N is the size of the data memory value after conversion by the conversion module, M is the optimal transmission rate of the serial port line module and the antenna module, and M is set according to the material of the serial port line module and the bandwidth of the antenna module;

[0019] It should be noted that the serial port cables used by the serial port cable module include Category 5e network cable, Category 6 network cable, Category 6e network cable, Category 7 network cable, and Category 8 network cable. The transmission rate and frequency bandwidth of each network cable are different.

[0020] 1) Category 5e network cable

[0021] The network cable is usually marked with Cat.5E, with a frequency bandwidth of 100MHZ and a transmission rate of 100Mbps. Category 5e network cable is an upgraded version of Category 5 network cable, generally used for 100M networks and supports 1G in short distances.

[0022] 2) Category 6 network cable.

[0023] The network cable is usually marked with Cat.6, with a frequency bandwidth of 250MHZ and a transmission rate of 1000Mbps. Category 6 network cable is a standard Gigabit network cable, which has greatly improved performance compared to Category 5e cable, because the internal copper core wire diameter is thicker, a cross skeleton is added in the middle, and the four pairs of twisted pairs are isolated, effectively reducing crosstalk.

[0024] 3) Category 6a network cable.

[0025] The network cable is usually marked with Cat.6A, with a frequency bandwidth of 500MHz and a transmission rate of 10Gbps. It has stronger performance than Category 6 network cables and is a 10G network cable.

[0026] 4) Category 7 network cable.

[0027] The network cable is generally marked with Cat7. The frequency bandwidth is 600MHZ, the transmission rate is 10Gbps, and the Category 7 network cable is a double-shielded network cable with double-layer shielding of aluminum foil and aluminum-magnesium wire, and is also a 10G network cable.

[0028] 5) Category 8 network cable.

[0029] The network cable is generally marked with Cat8, with a frequency bandwidth of 2000MHZ and a transmission rate of 40Gbps. It is a relatively high-grade network cable and is generally used in high-speed broadband environments.

[0030] Network cable quality:

[0031] Network cables generally have aluminum wire, copper-clad aluminum, and pure copper wire. When choosing a network cable, you should also pay attention to the wire core material of the network cable. The best quality is copper core wire, which is suitable for POE power supply and has strong conductivity. When testing the network cable, you can test it in an environment of 35℃ to 40℃ to see if the rubber of the network cable will become soft. The outer skin of a good quality network cable is flame retardant.

[0032] The antenna module uses WiFi, and the WiFi theoretical rate is:

[0033] WiFi4 single stream: 150Mbps, 4 streams: 600Mpbs

[0034] WiFi5 single stream: 433Mbps, 8 streams: 3466Mpbs (wave2 version, 867Mbps, 8 streams: 6933Mpbs)

[0035] WiFi6 single stream: 1200Mbps, 8 streams: 9.6Gpbs.

[0036] The compression module operates according to the comparison value calculated by the comparison module. When the comparison value S>1, the compression module is started, and when the comparison value S≤1, the compression module does not operate.

[0037] It should be noted that the statistical compression algorithm used in the compression module is a common lossless compression algorithm that achieves data compression based on the statistical characteristics of the data. The basic idea of ​​this algorithm is to use the statistical information in the data to build a coding table, represent frequently occurring data patterns with shorter codes, and represent less frequently occurring patterns with longer codes, thereby achieving data compression.

[0038] The temporary storage module is used to temporarily store the data transmitted by the serial port line module and the antenna module for 7-15 days;

[0039] It should be noted that the temporary storage module uses a temporary register.

[0040] The detection module includes a verification module, a repair module, a calibration module and a fusion module;

[0041] The calibration module performs compensation calibration on the data transmitted by the serial port module through a sensor compensation algorithm formula. The sensor compensation algorithm includes a zero-point deviation compensation formula and a sensitivity compensation formula. The zero-point deviation compensation formula is used to correct the zero-point drift of the sensor, and the sensitivity compensation formula is used to correct the sensitivity error of the sensor.

[0042] The zero point deviation compensation formula is as follows:

[0043] V' out =V out -V0

[0044] Among them, V' out is the corrected output value, V out is the actual output value of the sensor, V0 is the zero point deviation of the sensor;

[0045] The sensitivity compensation formula is as follows:

[0046] V' out =V out ×(1+K)

[0047] Among them, is the corrected output value, is the actual output value of the sensor, and k is the sensitivity compensation coefficient of the sensor;

[0048] The fusion module fuses the data calibrated by the calibration module through a target attribute fusion strategy.

[0049] It should be noted that the fusion strategy based on target attributes (FSBTA) is a distributed data processing process in which each sensor extracts target parameters and identifies different targets to form a target list; multiple target lists are fused to obtain reliable and true target information to avoid false alarms and missed detections.

[0050] The verification module verifies the data merged by the fusion module using a data verification method, and the repair module is established based on data repair technology and is used to repair data that has errors in verification by the verification module.

[0051] It should be noted that the data verification method uses cumulative verification. The cumulative sum verification is performed by adding a byte of verification data at the end of the communication data packet. The byte is the byte-by-byte cumulative sum of all the data in the data packet with carry ignored.

[0052] Data recovery technology uses professional recovery tools for backup and recovery.

[0053] A dynamic control system for the state of a sensor acquisition device based on the Internet of Things, wherein the control system is installed on a main control chip;

[0054] The control system includes an identification unit, a storage unit, a comparison unit, a feedback unit and a calculation unit. The identification unit is used to identify and determine which type of sensor the data transmitted by the detection module belongs to. The data identified by the identification unit will be transmitted to the calculation unit. The identification unit includes multiple sensor verification tools, which can verify which type of sensor the data detected by the detection module belongs to.

[0055] The computing unit can simulate the data identified by the identification unit. The computing unit is a simulation software for the device to be detected. After the data is input, the computing unit can simulate the running state data of the device to be detected. The simulated state data of the device to be detected and the actual state data of the device to be detected are both the running speed of the device to be detected.

[0056] The comparison unit can compare the running status data of the device to be detected simulated by the calculation unit with the actual status data sent by the device to be detected stored in the storage unit. The comparison unit compares the running status data of the device to be detected simulated by the calculation unit with the actual status data sent by the device to be detected stored in the storage unit through a fast-slow comparison formula. The fast-slow comparison formula is P, and the calculation formula is as follows:

[0057]

[0058] Wherein, w is the running speed of the device to be detected simulated by the computing unit, W is the actual running speed of the device to be detected stored in the storage unit, {P=1}, the device to be detected runs normally, the result of sensor detection is consistent with the actual running result of the device, and the sensor state is normal, {P<1, P>1}, the device to be detected runs abnormally, the result of sensor detection is inconsistent with the actual running result of the device, and the sensor state is abnormal;

[0059] The storage unit includes a memory module, an expansion module and a cleaning module. The memory module is divided into a sensor detection data storage area and a device to be detected actual operation data storage area. The memory module is a solid state hard disk with an intelligent chip. The expansion module creates a new folder to store data in the sensor detection data storage area and the device to be detected actual operation data storage area according to date and time. The cleaning module automatically cleans the data in the memory module through a data call formula, and the data call formula G is as follows:

[0060]

[0061] Among them, g is the actual number of calls of the corresponding data within a period of time, F is the minimum number of standard calls of the data set within a period of time, G≥1, the cleaning module does not clean up the corresponding data in the memory module, and when G<1, the cleaning module cleans up the corresponding data in the memory module.

[0062] The feedback unit sends information to the worker according to the comparison result of the comparison unit, reminding the worker to replace, repair and adjust the sensor in time, and the storage unit is used to store the data processed by the identification unit and the comparison unit.

[0063] In the above technical scheme, the sensor acquisition device based on the Internet of Things and the state dynamic control system thereof provided by the present invention have the following beneficial effects:

[0064] (1) The serial port module designed by the present invention can calculate the memory value of the data converted by the conversion module when the sensor transmits data to the main control chip through the serial port module, and then compress the data according to the comparison result, so that the memory value of the transmitted data becomes smaller, which is convenient for the serial port module to quickly transmit the data detected by the sensor to the main control chip, so that the workers can obtain the sensor detection data in time, so as to quickly operate the equipment and avoid errors in equipment operation.

[0065] (2) The control system designed by the present invention has a computing unit in which the computing unit can simulate the data recognized by the recognition unit, and then the comparison unit can compare the operating status data of the device to be detected simulated by the computing unit with the actual status data sent by the device to be detected stored in the storage unit, to determine whether the data detected by the sensor is consistent with the data during the operation of the device, and to determine whether the sensor is operating normally. The subsequent feedback unit will send information to the workers based on the comparison results of the comparison unit, so that the workers can quickly replace, repair and adjust the sensors to achieve control of the sensors. BRIEF DESCRIPTION OF THE DRAWINGS

[0066] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0067] Figure 1 A schematic diagram of the structure of a sensor acquisition device provided in an embodiment of the sensor acquisition device based on the Internet of Things and its state dynamic control system of the present invention.

[0068] Figure 2 A schematic diagram of the serial port module structure provided for an embodiment of a sensor acquisition device based on the Internet of Things and a system for dynamically controlling its state.

[0069] Figure 3 A schematic diagram of the detection module structure provided for an embodiment of a sensor acquisition device based on the Internet of Things and a dynamic state control system thereof of the present invention.

[0070] Figure 4 A schematic diagram of the system structure of an embodiment of a sensor acquisition device based on the Internet of Things and a dynamic state control system thereof provided by the present invention.

[0071] Figure 5 A schematic diagram of the storage unit structure provided for an embodiment of a sensor acquisition device based on the Internet of Things and a dynamic state control system thereof of the present invention. DETAILED DESCRIPTION

[0072] In order to enable those skilled in the art to better understand the technical solution of the present invention, the present invention will be further described in detail below with reference to the accompanying drawings.

[0073] like Figure 1-3 As shown, the sensor acquisition device based on the Internet of Things provided by the embodiment of the present invention includes multiple sensors, serial port modules, detection modules and main control chips, the output ends of the multiple sensors are electrically connected to the input ends of the multiple serial port modules, the output ends of the serial port modules are communicatively connected to the input ends of the detection modules, the output ends of the detection modules are electrically connected to the input ends of the main control chips, the output ends of the main control chips are communicatively connected to the input ends of the serial port modules, and the output ends of the serial port modules are communicatively connected to the input ends of the multiple sensors;

[0074] A plurality of the sensors are arranged at the signal collection position of the device to be detected, and are used to collect the operation data of the device to be detected;

[0075] The serial port module is used to connect the sensor with the main control chip and the detection module for communication;

[0076] The detection module is used to determine whether the data received by the serial port module is distorted or missing and to repair the data;

[0077] The serial port module includes a comparison module, a conversion module, a compression module, a serial port line module, an antenna module and a temporary storage module;

[0078] The serial port line module is connected with the sensor and the detection module through a serial port line;

[0079] The antenna module is connected to the detection module through WiFi communication;

[0080] The conversion module is used to convert the data received by the serial port line module and the antenna module, and the conversion module adopts a data converter;

[0081] The comparison module is used to calculate the memory value of the data converted by the conversion module to obtain a comparison value S, and the formula of the comparison value S is as follows:

[0082]

[0083] Wherein, N is the size of the data memory value after conversion by the conversion module, M is the optimal transmission rate of the serial port line module and the antenna module, and M is set according to the material of the serial port line module and the bandwidth of the antenna module;

[0084] It should be noted that the serial port cables used by the serial port cable module include Category 5e network cable, Category 6 network cable, Category 6e network cable, Category 7 network cable, and Category 8 network cable. The transmission rate and frequency bandwidth of each network cable are different.

[0085] 1) Category 5e network cable

[0086] The network cable is usually marked with Cat.5E, with a frequency bandwidth of 100MHZ and a transmission rate of 100Mbps. Category 5e network cable is an upgraded version of Category 5 network cable, generally used for 100M networks and supports 1G in short distances.

[0087] 2) Category 6 network cable.

[0088] The network cable is usually marked with Cat.6, with a frequency bandwidth of 250MHZ and a transmission rate of 1000Mbps. Category 6 network cable is a standard Gigabit network cable, which has greatly improved performance compared to Category 5e cable, because the internal copper core wire diameter is thicker, a cross skeleton is added in the middle, and the four pairs of twisted pairs are isolated, effectively reducing crosstalk.

[0089] 3) Category 6a network cable.

[0090] The network cable is usually marked with Cat.6A, with a frequency bandwidth of 500MHz and a transmission rate of 10Gbps. It has stronger performance than Category 6 network cables and is a 10G network cable.

[0091] 4) Category 7 network cable.

[0092] The network cable is generally marked with Cat7. The frequency bandwidth is 600MHZ, the transmission rate is 10Gbps, and the Category 7 network cable is a double-shielded network cable with double-layer shielding of aluminum foil and aluminum-magnesium wire, and is also a 10G network cable.

[0093] 5) Category 8 network cable.

[0094] The network cable is generally marked with Cat8, with a frequency bandwidth of 2000MHZ and a transmission rate of 40Gbps. It is a relatively high-grade network cable and is generally used in high-speed broadband environments.

[0095] Network cable quality:

[0096] Network cables generally have aluminum wire, copper-clad aluminum, and pure copper wire. When choosing a network cable, you should also pay attention to the wire core material of the network cable. The best quality is copper core wire, which is suitable for POE power supply and has strong conductivity. When testing the network cable, you can test it in an environment of 35℃ to 40℃ to see if the rubber of the network cable will become soft. The outer skin of a good quality network cable is flame retardant.

[0097] The antenna module uses WiFi, and the WiFi theoretical rate is:

[0098] WiFi 4 single stream: 150Mbps, 4 streams: 600Mpbs

[0099] WiFi 5 single stream: 433Mbps, 8 streams: 3466Mpbs (wave2 version, 867Mbps, 8 streams: 6933Mpbs)

[0100] WiFi 6 Single Stream: 1200Mbps, 8 Stream: 9.6Gpbs.

[0101] The compression module operates according to the comparison value calculated by the comparison module. When the comparison value S>1, the compression module is started, and when the comparison value S≤1, the compression module does not operate.

[0102] It should be noted that the statistical compression algorithm used in the compression module is a common lossless compression algorithm that achieves data compression based on the statistical characteristics of the data. The basic idea of ​​this algorithm is to use the statistical information in the data to build a coding table, represent frequently occurring data patterns with shorter codes, and represent less frequently occurring patterns with longer codes, thereby achieving data compression.

[0103] The temporary storage module is used to temporarily store the data transmitted by the serial port line module and the antenna module for 7-15 days;

[0104] It should be noted that the temporary storage module uses a temporary register.

[0105] The detection module includes a verification module, a repair module, a calibration module and a fusion module;

[0106] The calibration module performs compensation calibration on the data transmitted by the serial port module through a sensor compensation algorithm formula. The sensor compensation algorithm includes a zero-point deviation compensation formula and a sensitivity compensation formula. The zero-point deviation compensation formula is used to correct the zero-point drift of the sensor, and the sensitivity compensation formula is used to correct the sensitivity error of the sensor.

[0107] The zero point deviation compensation formula is as follows:

[0108] V' out =V out -V0

[0109] Among them, V' out is the corrected output value, V out is the actual output value of the sensor, V0 is the zero point deviation of the sensor;

[0110] The sensitivity compensation formula is as follows:

[0111] V' out =V out ×(1+K)

[0112] Among them, is the corrected output value, is the actual output value of the sensor, and k is the sensitivity compensation coefficient of the sensor;

[0113] It should be noted that the basic principle of zero-point deviation compensation is to introduce a small voltage value near the zero level to keep the output voltage at a certain level, thereby compensating the output deviation of the error amplifier. Specifically, when the output of the error amplifier is negative, the zero-point compensation circuit is used for compensation; when the output is positive, the zero-point compensation circuit is also used for compensation;

[0114] The basic principle of the sensitivity compensation formula is to offset or reduce the impact of environmental changes (such as temperature changes) on sensor sensitivity by adjusting certain parameters in the circuit;

[0115] The fusion module fuses the data calibrated by the calibration module through a target attribute fusion strategy.

[0116] It should be noted that the fusion strategy based on target attributes (FSBTA) is a distributed data processing process in which each sensor extracts target parameters and identifies different targets to form a target list; multiple target lists are fused to obtain reliable and true target information to avoid false alarms and missed detections.

[0117] The verification module verifies the data merged by the fusion module using a data verification method, and the repair module is established based on data repair technology and is used to repair data that has errors in verification by the verification module.

[0118] It should be noted that the data verification method uses cumulative verification. The cumulative sum verification is performed by adding a byte of verification data at the end of the communication data packet. The byte is the byte-by-byte cumulative sum of all the data in the data packet with carry ignored.

[0119] Data recovery technology uses professional recovery tools for backup and recovery.

[0120] A dynamic control system for the state of a sensor acquisition device based on the Internet of Things, wherein the control system is installed on a main control chip;

[0121] The control system includes an identification unit, a storage unit, a comparison unit, a feedback unit and a calculation unit. The identification unit is used to identify and determine which type of sensor the data transmitted by the detection module belongs to. The data identified by the identification unit will be transmitted to the calculation unit. The identification unit includes multiple sensor verification tools, which can verify which type of sensor the data detected by the detection module belongs to.

[0122] The computing unit can simulate the data identified by the identification unit. The computing unit is a simulation software for the device to be detected. After the data is input, the computing unit can simulate the running state data of the device to be detected. The simulated state data of the device to be detected and the actual state data of the device to be detected are both the running speed of the device to be detected.

[0123] The comparison unit can compare the running status data of the device to be detected simulated by the calculation unit with the actual status data sent by the device to be detected stored in the storage unit. The comparison unit compares the running status data of the device to be detected simulated by the calculation unit with the actual status data sent by the device to be detected stored in the storage unit through a fast-slow comparison formula. The fast-slow comparison formula is P, and the calculation formula is as follows:

[0124]

[0125] Wherein, w is the running speed of the device to be detected simulated by the computing unit, W is the actual running speed of the device to be detected stored in the storage unit, {P=1}, the device to be detected runs normally, the result of sensor detection is consistent with the actual running result of the device, and the sensor state is normal, {P<1, P>1}, the device to be detected runs abnormally, the result of sensor detection is inconsistent with the actual running result of the device, and the sensor state is abnormal;

[0126] The storage unit includes a memory module, an expansion module and a cleaning module. The memory module is divided into a sensor detection data storage area and a device to be detected actual operation data storage area. The memory module is a solid state hard disk with an intelligent chip. The expansion module creates a new folder to store data in the sensor detection data storage area and the device to be detected actual operation data storage area according to date and time. The cleaning module automatically cleans the data in the memory module through a data call formula, and the data call formula G is as follows:

[0127]

[0128] Among them, g is the actual number of calls of the corresponding data within a period of time, F is the minimum number of standard calls of the data set within a period of time, G≥1, the cleaning module does not clean up the corresponding data in the memory module, and when G<1, the cleaning module cleans up the corresponding data in the memory module.

[0129] The feedback unit sends information to the worker according to the comparison result of the comparison unit, reminding the worker to replace, repair and adjust the sensor in time, and the storage unit is used to store the data processed by the identification unit and the comparison unit.

[0130] The above description is only by way of illustration of certain exemplary embodiments of the present invention. It is undoubted that those skilled in the art can modify the described embodiments in various ways without departing from the spirit and scope of the present invention. Therefore, the above drawings and descriptions are illustrative in nature and should not be construed as limiting the scope of protection of the claims of the present invention.

Claims

1. A sensor acquisition device based on the Internet of Things, including multiple sensors, multiple serial port modules, detection modules and a main control chip, characterized in that: The output ends of the multiple sensors are electrically connected to the input ends of the multiple serial port modules one by one, the output end of the serial port module is communicatively connected to the input end of the detection module, the output end of the detection module is electrically connected to the input end of the main control chip, the output end of the main control chip is communicatively connected to the input end of the serial port module, and the output end of the serial port module is communicatively connected to the input ends of the multiple sensors; A plurality of the sensors are arranged at the signal collection position of the device to be detected, and are used to collect the operation data of the device to be detected; The serial port module is used to connect the sensor with the main control chip and the detection module for communication; The detection module is used to determine whether the data received by the serial port module is distorted or missing and to repair the data; The serial port module includes a comparison module, a conversion module, a compression module, a serial port line module, an antenna module and a temporary storage module; The serial port line module is connected with the sensor and the detection module through a serial port line; The antenna module is connected to the detection module through WiFi communication; The conversion module is used to convert the data received by the serial port line module and the antenna module, and the conversion module adopts a data converter; The comparison module is used to calculate the memory value of the data converted by the conversion module to obtain a comparison value S, and the formula of the comparison value S is as follows: Wherein, N is the size of the data memory value after conversion by the conversion module, M is the optimal transmission rate of the serial port line module and the antenna module, and M is set according to the material of the serial port line module and the bandwidth of the antenna module; The compression module operates according to the comparison value calculated by the comparison module. When the comparison value S>1, the compression module is started, and when the comparison value S≤1, the compression module does not operate. The temporary storage module is used to temporarily store the data transmitted by the serial port line module and the antenna module for 7-15 days; The detection module includes a verification module, a repair module, a calibration module and a fusion module; The calibration module performs compensation calibration on the data transmitted by the serial port module through a sensor compensation algorithm formula. The sensor compensation algorithm includes a zero-point deviation compensation formula and a sensitivity compensation formula. The zero-point deviation compensation formula is used to correct the zero-point drift of the sensor, and the sensitivity compensation formula is used to correct the sensitivity error of the sensor. The zero point deviation compensation formula is as follows: Vo'ut=Vout-V0 Among them, V o ' ut is the corrected output value, V out is the actual output value of the sensor, V0 is the zero point deviation of the sensor; The sensitivity compensation formula is as follows: Vo'ut=Vout×(1+K) Among them, is the corrected output value, is the actual output value of the sensor, and k is the sensitivity compensation coefficient of the sensor; The fusion module fuses the data calibrated by the calibration module through a target attribute fusion strategy.

2. The sensor acquisition device based on the Internet of Things according to claim 1 is characterized in that: The verification module verifies the data merged by the fusion module using a data verification method, and the repair module is established based on data repair technology and is used to repair data that has errors in verification by the verification module.

3. A sensor acquisition device state dynamic control system based on the Internet of Things, using the sensor acquisition device based on the Internet of Things according to any one of claims 1-2, characterized in that: The control system is installed on the main control chip; The control system includes an identification unit, a storage unit, a comparison unit, a feedback unit and a calculation unit. The identification unit is used to identify which type of sensor the data transmitted by the detection module belongs to. The data identified by the identification unit will be transmitted to the calculation unit. The calculation unit can simulate the data identified by the identification unit. The comparison unit can compare the operating status data of the device to be detected simulated by the calculation unit with the actual status data sent by the device to be detected stored in the storage unit. The feedback unit sends information to the workers according to the comparison results of the comparison unit to remind the workers to replace, repair and adjust the sensors in time. The storage unit is used to store the data processed by the identification unit and the comparison unit.

4. The state dynamic control system of the sensor acquisition device based on the Internet of Things according to claim 3 is characterized in that: The identification unit includes a plurality of sensor verification tools, which can verify to which type of sensor the data detected by the detection module belongs.

5. The sensor acquisition device state dynamic control system based on the Internet of Things according to claim 3 is characterized in that: The calculation unit is simulation software for the device to be detected, and after inputting data, it can simulate the running status data of the device to be detected. The simulated status data of the device to be detected and the actual status data of the device to be detected are both the running speed of the device to be detected.

6. The state dynamic control system of the sensor acquisition device based on the Internet of Things according to claim 3 is characterized in that: The comparison unit compares the running status data of the device to be detected simulated by the calculation unit with the actual status data sent by the device to be detected and stored in the storage unit through a fast and slow comparison formula.

7. The dynamic control system of the sensor acquisition device state based on the Internet of Things according to claim 6 is characterized in that: The fast-slow comparison formula is P, and the calculation formula is as follows: Among them, w is the running speed of the device to be detected simulated by the computing unit, W is the actual running speed of the device to be detected stored in the storage unit, {P=1}, the device to be detected runs normally, the result of sensor detection is consistent with the actual running result of the device, and the sensor state is normal, {P<1, P>1}, the device to be detected runs abnormally, the result of sensor detection does not conform to the actual running result of the device, and the sensor state is abnormal.

8. The sensor acquisition device state dynamic control system based on the Internet of Things according to claim 3 is characterized in that: The storage unit includes a memory module, an expansion module and a cleaning module. The memory module is divided into a sensor detection data storage area and a data storage area for actual operation of the device to be detected. The memory module is a solid state hard disk with a smart chip.

9. The state dynamic control system of the sensor acquisition device based on the Internet of Things according to claim 8 is characterized in that: The expansion module creates a new folder to store data in the sensor detection data storage area and the actual operation data storage area of ​​the device to be detected according to the date and time.

10. The sensor acquisition device state dynamic control system based on the Internet of Things according to claim 8 is characterized in that: The cleaning module automatically cleans the data in the memory module through a data calling formula, and the data calling formula G is as follows: Among them, g is the actual number of calls of the corresponding data within a period of time, F is the minimum number of standard calls of the data set within a period of time, G≥1, the cleaning module does not clean up the corresponding data in the memory module, and when G<1, the cleaning module cleans up the corresponding data in the memory module.

Images