An intelligent hardware equipment monitoring system based on the Internet of Things

Abstract

The present invention discloses a smart hardware device monitoring system based on the Internet of Things, which relates to the field of the Internet of Things; including: a data acquisition module, which is installed at the smart hardware device and is used to collect the working environment status information of the smart hardware device; a wireless communication module, which is used for communication connection between smart hardware devices and between smart hardware devices and monitoring terminals; an Internet of Things service platform, which is used to store and read monitoring data and is connected to the monitoring terminal for communication; a monitoring terminal, which is used to receive the collected data and process and analyze the data; an output device, which includes a display, a printer, and an interactive unit, for displaying monitoring results and printing reports. The present invention can realize alarms by adopting a threshold control method, and introduces an error coefficient to increase the accuracy of the alarm. At the same time, by adopting past monitoring data and a weight method of time nodes, the prediction of future parameters can be realized, thereby realizing the early warning function.

Description

Technical Field

[0001] The present invention relates to the field of Internet of Things, and in particular to an intelligent hardware device monitoring system based on Internet of Things. Background Art

[0002] Internet of Things (IoT) technology refers to a network that connects any object to the Internet through information sensing devices such as radio frequency identification (RFID), infrared sensors, global positioning systems, laser scanners, etc., according to agreed protocols, to exchange information and communicate, so as to achieve intelligent identification, positioning, tracking, monitoring and management. The development of IoT technology is the inevitable result of scientific and technological progress. It has greatly expanded the scope of application of the Internet and realized the seamless connection between the physical world and the information world.

[0003] After searching, the Chinese patent publication number CN109981617A discloses a method, system and electronic device for monitoring an IoT device. The method includes: obtaining transmission data of an IoT device, and determining event message data in the transmission data; determining a target IoT device corresponding to the event message data according to a preset mapping relationship; obtaining a coding rule corresponding to the target IoT device type, and using the coding rule to parse the event message data to obtain the operating status information of the target IoT device, so as to monitor the IoT device.

[0004] The above patent has the following deficiencies: it can only monitor time, cannot realize alarm and early warning functions, and has certain limitations.

[0005] To this end, the present invention proposes an intelligent hardware device monitoring system based on the Internet of Things. Summary of the invention

[0006] The purpose of the present invention is to solve the shortcomings of the prior art and to propose an intelligent hardware device monitoring system based on the Internet of Things.

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

[0008] An intelligent hardware device monitoring system based on the Internet of Things, comprising:

[0009] A data acquisition module is installed at the intelligent hardware device and is used to collect the working environment status information of the intelligent hardware device;

[0010] Wireless communication module, which is used for communication between intelligent hardware devices and between intelligent hardware devices and monitoring terminals;

[0011] The Internet of Things service platform is used to store and read monitoring data and is connected to the monitoring terminal in communication;

[0012] Monitoring terminal, which is used to receive the collected data and process and analyze the data;

[0013] Output devices, including displays, printers, and interactive units, are used to display monitoring results and print reports.

[0014] Preferably: the working method of the intelligent hardware device monitoring system based on the Internet of Things includes the following steps:

[0015] S1: Determine the parameter type monitored by the smart hardware device, select the corresponding sensor according to the parameter type, and install the sensor at the smart hardware device;

[0016] S2: The sensor collects data in real time, determines the communication method based on the optimal communication strength path principle, and transmits the collected data to the monitoring terminal;

[0017] S3: The monitoring terminal collects and processes the data, establishes an early warning and alarm model, inputs the data into the early warning model and the alarm model, and issues early warning and alarm;

[0018] S4: The collected data is transmitted to the IoT service platform in real time or at a fixed time for storage;

[0019] S5: When paper output of monitoring results is required, the monitoring data is retrieved through the monitoring terminal and then sent to the output device for printing.

[0020] Preferably: in the step S2, the communication adopts any one of wiring harness connection communication, Bluetooth communication or local area network communication.

[0021] Preferably: in step S2, the logic of the optimal communication strength path principle is as follows:

[0022] S21: Determine the signal loss coefficient k% of the relative transmission distance, which represents the loss ratio of signal strength per unit transmission distance as k%;

[0023] S22: Determine the signal strength loss ratio p% when using transition nodes for indirect communication, which represents the signal strength loss ratio p% at the transmission point after the signal is input from a node;

[0024] S23: Determine the distance between every two sensors according to the arrangement position of the sensors , which represents the distance between sensor o and sensor i, and determines the distance between each sensor and the monitoring terminal , which represents the distance between the i sensor and the monitoring terminal;

[0025] S24: Determine a transmission path for each sensor signal by using a transmission method based on communication strength or a transmission method with the lowest strength loss.

[0026] Preferably: in the step S24, the transmission method based on communication strength includes the following steps:

[0027] S241A: Determine the minimum signal strength at which the monitoring terminal can receive complete data ;

[0028] S242A: Get the initial signal strength of the data sent by the sensor ;

[0029] S243A: Determine multiple paths from the sensor to the monitoring terminal by using a permutation and combination method, and calculate the total optical loss ratio of each path;

[0030] S244A: Initial signal strength Multiply by the total light loss ratio and filter all results greater than , and then randomly determine a path as the transmission path.

[0031] Preferably: in the step S243A, the total amount of light loss ratio is , where n is the total path distance and m is the number of transition sensors.

[0032] Preferably, in the step S24, the transmission method based on the lowest strength loss includes the following steps:

[0033] S241B: Get the initial signal strength of the data sent by the sensor ;

[0034] S242B: Determine multiple paths from the sensor to the monitoring terminal by using a permutation and combination method, and calculate the total amount of optical loss ratio of each path;

[0035] S243B: Calculate the theoretical final signal strength when transmitted through each path, and then select the path with the strongest signal strength as the optimal path.

[0036] Preferably: in the step S243B, the final signal strength * (1- ), where n is the total path distance and m is the number of transition sensors.

[0037] Preferably: in the step S3, the alarm method comprises the following steps:

[0038] S31A: Determine a threshold range (a, b) of a normal working state of the smart device according to the operation of the smart device;

[0039] S32A: Determine the accuracy error c of the sensor according to the accuracy of the sensor;

[0040] S33A: Get the actual collected value M. If MC>b or M+C<a, an alarm is issued, otherwise it is normal.

[0041] Preferably: in the step S3, the early warning method comprises the following steps:

[0042] S31B: Get the data collected by the previous sensor, and start from the current node, collect n nodes forward with a fixed time length as a cycle, and get n+1 data , which represents the node collection value n time periods away from the current one;

[0043] S32B: Select a predicted time node, and take the difference between the predicted time node and the current time node, and then take the quotient of the time period, remove the integer part to obtain m, where m<n;

[0044] S33B: For n+1 nodes, perform the difference between adjacent nodes and obtain n difference values ;

[0045] S34B: Assign weight to each difference ,in < ;

[0046] S35B: According to the formula Calculate the predicted value of the prediction node and use the predicted value as the actual value of step S33A to achieve early warning.

[0047] The beneficial effects of the present invention are: 1. The present invention can realize alarm by adopting threshold control method, and introduces error coefficient to increase the accuracy of alarm. At the same time, it adopts past monitoring data and the weight method of time nodes to realize the prediction of future parameters, thereby realizing the early warning function. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] Figure 1 This is a working logic diagram of an intelligent hardware device monitoring system based on the Internet of Things proposed by the present invention. DETAILED DESCRIPTION

[0049] The technical solution of the present invention is further described in detail below in conjunction with specific implementation methods.

[0050] In the description of the present invention, it should be noted that, unless otherwise clearly specified and limited, the terms "install", "connect", "connect", and "set" should be understood in a broad sense. For example, it can be fixedly connected or set, or it can be detachably connected or set, or connected or set in one piece. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances. Example 1: A smart hardware device monitoring system based on the Internet of Things, comprising:

[0051] A data acquisition module is installed at the intelligent hardware device and is used to collect the working environment status information of the intelligent hardware device;

[0052] Wireless communication module, which is used for communication between intelligent hardware devices and between intelligent hardware devices and monitoring terminals;

[0053] The Internet of Things service platform is used to store and read monitoring data and is connected to the monitoring terminal in communication;

[0054] Monitoring terminal, which is used to receive the collected data and process and analyze the data;

[0055] Output device, including display, printer, interactive unit, for displaying monitoring results and printing reports. Embodiment 2: A smart hardware device monitoring system based on the Internet of Things, comprising:

[0056] A data acquisition module is installed at the intelligent hardware device and is used to collect the working environment status information of the intelligent hardware device;

[0057] Wireless communication module, which is used for communication between intelligent hardware devices and between intelligent hardware devices and monitoring terminals;

[0058] The Internet of Things service platform is used to store and read monitoring data and is connected to the monitoring terminal in communication;

[0059] Monitoring terminal, which is used to receive the collected data and process and analyze the data;

[0060] Output devices, including displays, printers, and interactive units, are used to display monitoring results and print reports.

[0061] The working method of the intelligent hardware device monitoring system based on the Internet of Things includes the following steps:

[0062] S1: Determine the parameter type monitored by the smart hardware device, select the corresponding sensor according to the parameter type, and install the sensor at the smart hardware device;

[0063] S2: The sensor collects data in real time, determines the communication method based on the optimal communication strength path principle, and transmits the collected data to the monitoring terminal;

[0064] S3: The monitoring terminal collects and processes the data, establishes an early warning and alarm model, inputs the data into the early warning model and the alarm model, and issues early warning and alarm;

[0065] S4: The collected data is transmitted to the IoT service platform in real time or at a fixed time for storage;

[0066] S5: When paper output of monitoring results is required, the monitoring data is retrieved through the monitoring terminal and then sent to the output device for printing.

[0067] In the step S2, the communication is carried out by connecting the wire harness. Embodiment 3: Embodiment 4: A smart hardware device monitoring system based on the Internet of Things, comprising:

[0068] A data acquisition module is installed at the intelligent hardware device and is used to collect the working environment status information of the intelligent hardware device;

[0069] Wireless communication module, which is used for communication between intelligent hardware devices and between intelligent hardware devices and monitoring terminals;

[0070] The Internet of Things service platform is used to store and read monitoring data and is connected to the monitoring terminal in communication;

[0071] Monitoring terminal, which is used to receive the collected data and process and analyze the data;

[0072] Output devices, including displays, printers, and interactive units, are used to display monitoring results and print reports.

[0073] The working method of the intelligent hardware device monitoring system based on the Internet of Things includes the following steps:

[0074] S1: Determine the parameter type monitored by the smart hardware device, select the corresponding sensor according to the parameter type, and install the sensor at the smart hardware device;

[0075] S2: The sensor collects data in real time, determines the communication method based on the optimal communication strength path principle, and transmits the collected data to the monitoring terminal;

[0076] S3: The monitoring terminal collects and processes the data, establishes an early warning and alarm model, inputs the data into the early warning model and the alarm model, and issues early warning and alarm;

[0077] S4: The collected data is transmitted to the IoT service platform in real time or at a fixed time for storage;

[0078] S5: When paper output of monitoring results is required, the monitoring data is retrieved through the monitoring terminal and then sent to the output device for printing.

[0079] In the step S2, the communication adopts the local area network communication. A smart hardware equipment monitoring system based on the Internet of Things comprises:

[0080] A data acquisition module is installed at the intelligent hardware device and is used to collect the working environment status information of the intelligent hardware device;

[0081] Wireless communication module, which is used for communication between intelligent hardware devices and between intelligent hardware devices and monitoring terminals;

[0082] The Internet of Things service platform is used to store and read monitoring data and is connected to the monitoring terminal in communication;

[0083] Monitoring terminal, which is used to receive the collected data and process and analyze the data;

[0084] Output devices, including displays, printers, and interactive units, are used to display monitoring results and print reports.

[0085] The working method of the intelligent hardware device monitoring system based on the Internet of Things includes the following steps:

[0086] S1: Determine the parameter type monitored by the smart hardware device, select the corresponding sensor according to the parameter type, and install the sensor at the smart hardware device;

[0087] S2: The sensor collects data in real time, determines the communication method based on the optimal communication strength path principle, and transmits the collected data to the monitoring terminal;

[0088] S3: The monitoring terminal collects and processes the data, establishes an early warning and alarm model, inputs the data into the early warning model and the alarm model, and issues early warning and alarm;

[0089] S4: The collected data is transmitted to the IoT service platform in real time or at a fixed time for storage;

[0090] S5: When paper output of monitoring results is required, the monitoring data is retrieved through the monitoring terminal and then sent to the output device for printing.

[0091] In the step S2, the communication is carried out by Bluetooth communication. Embodiment 5: A smart hardware device monitoring system based on the Internet of Things, comprising:

[0092] A data acquisition module is installed at the intelligent hardware device and is used to collect the working environment status information of the intelligent hardware device;

[0093] Wireless communication module, which is used for communication between intelligent hardware devices and between intelligent hardware devices and monitoring terminals;

[0094] The Internet of Things service platform is used to store and read monitoring data and is connected to the monitoring terminal in communication;

[0095] Monitoring terminal, which is used to receive the collected data and process and analyze the data;

[0096] Output devices, including displays, printers, and interactive units, are used to display monitoring results and print reports.

[0097] The working method of the intelligent hardware device monitoring system based on the Internet of Things includes the following steps:

[0098] S1: Determine the parameter type monitored by the smart hardware device, select the corresponding sensor according to the parameter type, and install the sensor at the smart hardware device;

[0099] S2: The sensor collects data in real time, determines the communication method based on the optimal communication strength path principle, and transmits the collected data to the monitoring terminal;

[0100] S3: The monitoring terminal collects and processes the data, establishes an early warning and alarm model, inputs the data into the early warning model and the alarm model, and issues early warning and alarm;

[0101] S4: The collected data is transmitted to the IoT service platform in real time or at a fixed time for storage;

[0102] S5: When paper output of monitoring results is required, the monitoring data is retrieved through the monitoring terminal and then sent to the output device for printing.

[0103] In the step S2, the communication adopts any one of wiring harness connection communication, Bluetooth communication or local area network communication.

[0104] In step S2, the logic of the optimal communication strength path principle is as follows:

[0105] S21: Determine the signal loss coefficient k% of the relative transmission distance, which represents the loss ratio of signal strength per unit transmission distance as k%;

[0106] S22: Determine the signal strength loss ratio p% when using transition nodes for indirect communication, which represents the signal strength loss ratio p% at the transmission point after the signal is input from a node;

[0107] S23: Determine the distance between every two sensors according to the arrangement position of the sensors , which represents the distance between sensor o and sensor i, and determines the distance between each sensor and the monitoring terminal , which represents the distance between the i sensor and the monitoring terminal;

[0108] S24: Determine a transmission path for each sensor signal using a transmission method based on communication strength.

[0109] In the step S24, the transmission method based on communication strength includes the following steps:

[0110] S241A: Determine the minimum signal strength at which the monitoring terminal can receive complete data ;

[0111] S242A: Get the initial signal strength of the data sent by the sensor ;

[0112] S243A: Determine multiple paths from the sensor to the monitoring terminal by using a permutation and combination method, and calculate the total optical loss ratio of each path;

[0113] S244A: Initial signal strength Multiply by the total light loss ratio and filter all results greater than , and then randomly determine a path as the transmission path.

[0114] In the step S243A, the total amount of light loss ratio is , where n is the total path distance, and m is the number of transition sensors. Embodiment 6: A smart hardware device monitoring system based on the Internet of Things, comprising:

[0115] A data acquisition module is installed at the intelligent hardware device and is used to collect the working environment status information of the intelligent hardware device;

[0116] Wireless communication module, which is used for communication between intelligent hardware devices and between intelligent hardware devices and monitoring terminals;

[0117] The Internet of Things service platform is used to store and read monitoring data and is connected to the monitoring terminal in communication;

[0118] Monitoring terminal, which is used to receive the collected data and process and analyze the data;

[0119] Output devices, including displays, printers, and interactive units, are used to display monitoring results and print reports.

[0120] The working method of the intelligent hardware device monitoring system based on the Internet of Things includes the following steps:

[0121] S1: Determine the parameter type monitored by the smart hardware device, select the corresponding sensor according to the parameter type, and install the sensor at the smart hardware device;

[0122] S2: The sensor collects data in real time, determines the communication method based on the optimal communication strength path principle, and transmits the collected data to the monitoring terminal;

[0123] S3: The monitoring terminal collects and processes the data, establishes an early warning and alarm model, inputs the data into the early warning model and the alarm model, and issues early warning and alarm;

[0124] S4: The collected data is transmitted to the IoT service platform in real time or at a fixed time for storage;

[0125] S5: When paper output of monitoring results is required, the monitoring data is retrieved through the monitoring terminal and then sent to the output device for printing.

[0126] In the step S2, the communication adopts any one of wiring harness connection communication, Bluetooth communication or local area network communication.

[0127] In step S2, the logic of the optimal communication strength path principle is as follows:

[0128] S21: Determine the signal loss coefficient k% of the relative transmission distance, which represents the loss ratio of signal strength per unit transmission distance as k%;

[0129] S22: Determine the signal strength loss ratio p% when using transition nodes for indirect communication, which represents the signal strength loss ratio p% at the transmission point after the signal is input from a node;

[0130] S23: Determine the distance between every two sensors according to the arrangement position of the sensors , which represents the distance between the o sensor and the i sensor, determines the distance between each sensor and the monitoring terminal, which represents the distance between the i sensor and the monitoring terminal;

[0131] S24: Determine a transmission path for each sensor signal by using a transmission method based on minimum intensity loss.

[0132] In step S24, the transmission method based on the lowest strength loss includes the following steps:

[0133] S241B: Get the initial signal strength of the data sent by the sensor ;

[0134] S242B: Determine multiple paths from the sensor to the monitoring terminal by using a permutation and combination method, and calculate the total amount of optical loss ratio of each path;

[0135] S243B: Calculate the theoretical final signal strength when transmitted through each path, and then select the path with the strongest signal strength as the optimal path.

[0136] In the step S243B, the final signal intensity * (1- ), where n is the total path distance, and m is the number of transition sensors. Embodiment 7: A smart hardware device monitoring system based on the Internet of Things, comprising:

[0137] A data acquisition module is installed at the intelligent hardware device and is used to collect the working environment status information of the intelligent hardware device;

[0138] Wireless communication module, which is used for communication between intelligent hardware devices and between intelligent hardware devices and monitoring terminals;

[0139] The Internet of Things service platform is used to store and read monitoring data and is connected to the monitoring terminal in communication;

[0140] Monitoring terminal, which is used to receive the collected data and process and analyze the data;

[0141] Output devices, including displays, printers, and interactive units, are used to display monitoring results and print reports.

[0142] The working method of the intelligent hardware device monitoring system based on the Internet of Things includes the following steps:

[0143] S1: Determine the parameter type monitored by the smart hardware device, select the corresponding sensor according to the parameter type, and install the sensor at the smart hardware device;

[0144] S2: The sensor collects data in real time, determines the communication method based on the optimal communication strength path principle, and transmits the collected data to the monitoring terminal;

[0145] S3: The monitoring terminal collects and processes the data, establishes an early warning and alarm model, inputs the data into the early warning model and the alarm model, and issues early warning and alarm;

[0146] S4: The collected data is transmitted to the IoT service platform in real time or at a fixed time for storage;

[0147] S5: When paper output of monitoring results is required, the monitoring data is retrieved through the monitoring terminal and then sent to the output device for printing.

[0148] In the step S2, the communication adopts any one of wiring harness connection communication, Bluetooth communication or local area network communication.

[0149] In step S2, the logic of the optimal communication strength path principle is as follows:

[0150] S21: Determine the signal loss coefficient k% of the relative transmission distance, which represents the loss ratio of signal strength per unit transmission distance as k%;

[0151] S22: Determine the signal strength loss ratio p% when using transition nodes for indirect communication, which represents the signal strength loss ratio p% at the transmission point after the signal is input from a node;

[0152] S23: Determine the distance between every two sensors according to the arrangement position of the sensors , which represents the distance between sensor o and sensor i, and determines the distance between each sensor and the monitoring terminal , which represents the distance between the i sensor and the monitoring terminal;

[0153] S24: Determine a transmission path for each sensor signal by using a transmission method based on communication strength or a transmission method with the lowest strength loss.

[0154] In the step S24, the transmission method based on communication strength includes the following steps:

[0155] S241A: Determine the minimum signal strength at which the monitoring terminal can receive complete data ;

[0156] S242A: Get the initial signal strength of the data sent by the sensor ;

[0157] S243A: Determine multiple paths from the sensor to the monitoring terminal by using a permutation and combination method, and calculate the total optical loss ratio of each path;

[0158] S244A: Multiply the initial signal strength by the total light loss ratio and filter all results greater than , and then randomly determine a path as the transmission path.

[0159] In the step S243A, the total amount of light loss ratio is , where n is the total path distance and m is the number of transition sensors.

[0160] In step S24, the transmission method based on the lowest strength loss includes the following steps:

[0161] S241B: Get the initial signal strength of the data sent by the sensor ;

[0162] S242B: Determine multiple paths from the sensor to the monitoring terminal by using a permutation and combination method, and calculate the total amount of optical loss ratio of each path;

[0163] S243B: Calculate the theoretical final signal strength when transmitted through each path, and then select the path with the strongest signal strength as the optimal path.

[0164] In the step S243B, the final signal intensity * (1- ), where n is the total path distance and m is the number of transition sensors.

[0165] In the step S3, the alarm method includes the following steps:

[0166] S31A: Determine a threshold range (a, b) of a normal working state of the smart device according to the operation of the smart device;

[0167] S32A: Determine the accuracy error c of the sensor according to the accuracy of the sensor;

[0168] S33A: Get the actual collected value M. If MC>b or M+C<a, an alarm is issued, otherwise it is normal.

[0169] In the step S3, the early warning method includes the following steps:

[0170] S31B: Get the data collected by the previous sensor, and start from the current node, collect n nodes forward with a fixed time length as a cycle, and get n+1 data , which represents the node collection value n time periods away from the current one;

[0171] S32B: Select a predicted time node, and take the difference between the predicted time node and the current time node, and then take the quotient of the time period, remove the integer part to obtain m, where m<n;

[0172] S33B: For n+1 nodes, perform the difference between adjacent nodes and obtain n difference values ;

[0173] S34B: Assign weight to each difference ,in < ;

[0174] S35B: According to the formula Calculate the predicted value of the prediction node and use the predicted value as the actual value of step S33A to achieve early warning.

[0175] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. An intelligent hardware equipment monitoring system based on the Internet of Things, characterized in that: include: A data acquisition module is installed at the intelligent hardware device and is used to collect the working environment status information of the intelligent hardware device; Wireless communication module, which is used for communication between intelligent hardware devices and between intelligent hardware devices and monitoring terminals; The Internet of Things service platform is used to store and read monitoring data and is connected to the monitoring terminal in communication; Monitoring terminal, which is used to receive the collected data and process and analyze the data; Output devices, including displays, printers, and interactive units, are used to display monitoring results and print reports; The data acquisition module includes using sensors to collect data in real time, and determining the communication method according to the principle of optimal communication strength path, and transmitting the collected data to the monitoring terminal; The logic of the optimal communication strength path principle is as follows: S21: determining a signal loss coefficient k% of the relative transmission distance, which represents a loss ratio of signal strength per unit transmission distance of k%; S22: determining a signal strength loss ratio p% when using a transition node for indirect communication, which represents a signal strength loss ratio of p% at a transmission point after a signal is input from a node; S23: Determine the distance L between every two sensors according to the arrangement position of the sensors oi , which represents the distance between sensor o and sensor i, and determines the distance L of each sensor from the monitoring terminal i , which represents the distance between the i sensor and the monitoring terminal; S24: Determine a transmission path for each sensor signal by using a transmission method based on communication strength or a transmission method based on the lowest strength loss; In the step S24, the transmission method based on communication strength includes the following steps: S241A: Determine the minimum signal strength Q at which the monitoring terminal can receive complete data min ; S242A: Get the initial signal strength Q of the data sent by the sensor 初始 ; S243A: Determine multiple paths from the sensor to the monitoring terminal by using a permutation and combination method, and calculate the total optical loss ratio of each path; S244A: Initial signal strength Q 初始 Multiply it by the total light loss ratio and filter all results greater than Q min , and then randomly determine a path as the transmission path.

2. According to claim 1, the intelligent hardware device monitoring system based on the Internet of Things is characterized in that: The working method of the intelligent hardware device monitoring system based on the Internet of Things includes the following steps: S1: Determine the parameter type monitored by the smart hardware device, select the corresponding sensor according to the parameter type, and install the sensor at the smart hardware device; S2: The sensor collects data in real time, determines the communication method based on the optimal communication strength path principle, and transmits the collected data to the monitoring terminal; S3: The monitoring terminal collects and processes the data, establishes an early warning and alarm model, inputs the data into the early warning model and the alarm model, and issues early warning and alarm; S4: The collected data is transmitted to the IoT service platform in real time or at a fixed time for storage; S5: When paper output of monitoring results is required, the monitoring data is retrieved through the monitoring terminal and then sent to the output device for printing.

3. According to claim 2, the intelligent hardware device monitoring system based on the Internet of Things is characterized in that: In the step S2, the communication adopts any one of wiring harness connection communication, Bluetooth communication or local area network communication.

4. According to claim 3, the intelligent hardware device monitoring system based on the Internet of Things is characterized in that: In the step S243A, the total amount of light loss ratio is k n p m %, where n is the total path distance and m is the number of transition sensors.

5. The intelligent hardware device monitoring system based on the Internet of Things according to claim 4 is characterized in that: In step S24, the transmission method based on the lowest strength loss includes the following steps: S241B: Get the initial signal strength Q of the data sent by the sensor 初始 ; S242B: Determine multiple paths from the sensor to the monitoring terminal by using a permutation and combination method, and calculate the total amount of optical loss ratio of each path; S243B: Calculate the theoretical final signal strength when transmitted through each path, and then select the path with the strongest signal strength as the optimal path.

6. The intelligent hardware device monitoring system based on the Internet of Things according to claim 5 is characterized in that: In the step S243B, the final signal strength Q 初始 *(1-k n p m %), where n is the total path distance and m is the number of transition sensors.

7. The intelligent hardware device monitoring system based on the Internet of Things according to claim 6 is characterized in that: In the step S3, the alarm method includes the following steps: S31A: Determine a threshold range (a, b) of a normal working state of the smart device according to the operation of the smart device; S32A: Determine the accuracy error c of the sensor according to the accuracy of the sensor; S33A: Get the actual collected value M. If MC>b or M+C<a, an alarm is issued, otherwise it is normal.

8. The intelligent hardware device monitoring system based on the Internet of Things according to claim 7 is characterized in that: In the step S3, the early warning method includes the following steps: S31B: Get the data collected by the previous sensor, and start from the current node, collect n nodes forward with a fixed time length as a cycle, and obtain n+1 data A n+1 , which represents the node collection value n time periods away from the current one; S32B: Select a predicted time node, and take the difference between the predicted time node and the current time node, and then take the quotient of the time period, remove the integer part to obtain m, where m<n; S33B: For n+1 nodes, perform the difference between adjacent nodes and obtain n difference values ​​Δ n =A n+1 -A n ; S34B: Assign weight q to each difference n , where q n <q n-1 ; S35B: According to the formula Calculate the predicted value of the prediction node and use the predicted value as the actual value of step S33A to achieve early warning.

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