CN104316099B - A kind of analog sensor monitoring method based on redundant data and system - Google Patents

Abstract

The present invention relates to an analog sensor monitoring method and system based on redundant data, wherein the method includes the following steps: acquiring the measurement data of at least two redundant sensors; reading the sensor state judgment from the database according to the model of the sensor Logic and sensor state judgment criteria; calculating and analyzing the measurement data according to the sensor state judgment logic to obtain a deviation value; and comparing the deviation value with the sensor state judgment criterion to obtain the sensor state. The present invention can judge the accuracy and reliability of the sensor through the cross-comparison between multiple redundant data. Compared with regular calibration and replacement, the present invention does not need to disassemble and measure the sensor, and only uses the sensor output Judging by the data, avoiding the problems caused by disassembly and installation, and more timely.

Description

An analog sensor monitoring method and system based on redundant data

technical field

The invention relates to the technical field of data monitoring, and more specifically, to a redundant data-based analog sensor monitoring method and system.

Background technique

In today's society, control systems have been widely used in various fields of human society. Especially in industry, such as metallurgy, petroleum, electric power, chemical industry, machinery manufacturing, etc., have corresponding control systems. On this basis, a digital control system with better control performance and a higher degree of automation, as well as a process control system with dual functions of control and management, have been established by using digital computers.

In control systems, there are two common terms, analog and digital. Analog quantity means that the physical quantity is a continuous value that changes within a certain range, such as temperature (0-100 degrees), pressure (0-10MPA), liquid level (1-5 meters), valve opening (0%-100 %), etc.; switching value means that the physical quantity is discontinuous and has only several fixed discrete values, such as relays (closed and opened), solenoid valves (conducted and disconnected), etc.

A sensor (English name: transducer/sensor) is a device or device that can sense a specified measured value and convert it into a usable signal according to a certain rule. It is usually composed of a sensitive element and a conversion element. A sensor is a detection device that can Sensing the measured information, and transforming the detected information into electrical signals or other required forms of information output according to certain rules, so as to meet the requirements of information transmission, processing, storage, display, recording and control. It is the first link to realize automatic detection and automatic control.

Sensor performance refers to the static characteristics, dynamic characteristics, linearity, sensitivity, resolution, hysteresis and accuracy of the sensor. Reliability refers to the ability to complete specified functions under specified conditions and within specified time.

In the control system of nuclear power plants, physical quantities such as temperature, pressure, flow, liquid level, amplitude, and frequency are measured by analog sensors, and process control is implemented based on the measured data. However, there is no monitoring equipment specifically for the sensor to ensure the performance and reliability of the sensor. Once the sensor fails and the measurement data is inaccurate, it may mislead the operator in the main control room to make wrong judgments and perform wrong operations, which will bring serious consequences.

At present, the control system, especially the control system of the nuclear power plant, generally adopts the method of regular calibration and regular replacement to ensure the performance and reliability of the sensor. However, this method also has the following disadvantages:

1) It takes a certain amount of work to calibrate the sensor regularly, and in most cases the calibration results show that the sensor is in good condition.

2) Sometimes it is necessary to disassemble the sensor for calibration, and then reinstall it. During the process of disassembly and installation, the sensor may be damaged or the measurement data of the sensor may be incorrect due to incorrect installation.

3) Regular replacement is expensive, and sometimes some sensors in good condition are also replaced.

4) The sensor failure cannot be found in time, and the problem cannot be found until it is regularly calibrated or replaced.

Contents of the invention

The technical problem to be solved by the present invention is to provide an analog sensor monitoring method and system based on redundant data in view of the defects that the sensor needs to be disassembled and the problem is not found in time due to the regular calibration and replacement of the sensor in the existing control system .

The technical solution adopted by the present invention to solve its technical problem is: construct a kind of analog quantity sensor monitoring method based on redundant data, described method comprises the following steps:

S1. Obtain measurement data of at least two redundant sensors;

S2. Read the sensor state judgment logic and the sensor state judgment criterion from the database according to the model of the sensor;

S3. Calculate and analyze the measurement data according to the sensor state determination logic to obtain a deviation value;

S4. Comparing the deviation value with the sensor state determination criterion to obtain the sensor state.

In the redundant data-based analog sensor monitoring method according to the present invention, the method further includes the following steps performed after the step S4: judging whether it is abnormal according to the sensor state, and if so, triggering a sensor state warning .

In the redundant data-based analog sensor monitoring method according to the present invention, the step S1 further includes: selecting a data acquisition method according to the model of the sensor, and if it is automatic acquisition, automatically acquire the measurement of the sensor If the data is entered manually, the data manually input by the user is obtained as the measurement data of the sensor.

In the redundant data-based analog sensor monitoring method according to the present invention, the number of the at least two redundant sensors is two, and step S3 is specifically: according to the sensor range, each of the two sensors The measurement data of the sensor is calculated twice to obtain the second calculation value of each sensor; one of the two sensors is selected as the reference sensor, and the second calculation value of the other sensor is used as the reference value of the reference sensor, or The average value of the secondary calculation values of the two sensors is used as the reference value of the reference sensor; the deviation value of the reference sensor is obtained by subtracting the reference value from the secondary calculation value of the reference sensor.

In the redundant data-based analog sensor monitoring method according to the present invention, the number of the at least two redundant sensors is three or more, and the step S3 is specifically: according to the sensor range The measurement data of each sensor in the at least two redundant sensors is calculated twice to obtain the second calculated value of each sensor; one sensor in the at least two redundant sensors is selected as a reference sensor, and the reference The average value of the secondary calculation values of the sensors other than the sensor is used as the reference value of the reference sensor; the deviation value of the reference sensor is obtained by subtracting the reference value from the secondary calculation value of the reference sensor.

The present invention also provides an analog sensor monitoring system based on redundant data, said system comprising:

A data acquisition module, configured to acquire measurement data of at least two redundant sensors;

The storage module is used to store the sensor state judgment logic and the sensor state judgment criterion through the database;

The state judgment module is connected with the data acquisition module and the storage module, and is used to read the sensor state judgment logic and the sensor state judgment criterion from the database according to the model of the sensor, and judge the sensor state according to the sensor state judgment logic. The measurement data of the sensor is calculated and analyzed to obtain a deviation value; the deviation value is compared with the sensor state judgment criterion to obtain the sensor state.

In the analog sensor monitoring system based on redundant data according to the present invention, the system further includes: a state early warning module, connected to the state determination module, for judging whether it is abnormal according to the state of the sensor, if so Trigger a sensor status alert.

In the analog sensor monitoring system based on redundant data according to the present invention, the data acquisition module specifically includes:

A mode determination unit, configured to select a data acquisition mode according to the model of the sensor, and send an automatic acquisition instruction or a manual acquisition instruction;

an automatic acquisition unit, configured to automatically acquire the measurement data of the sensor after receiving the automatic acquisition instruction;

The manual acquisition unit is configured to acquire the data manually input by the user as the measurement data of the sensor after receiving the manual acquisition instruction.

In the analog quantity sensor monitoring system based on redundant data according to the present invention, the number of the at least two redundant sensors is two, and the step state determination module includes the following units for calculating the deviation value: secondary The value calculation unit performs secondary calculation on the measurement data of each of the two sensors according to the sensor range to obtain the secondary calculation value of each sensor; the reference value calculation unit selects one of the two sensors as a reference sensor , take the secondary calculation value of another sensor as the reference value of the reference sensor, or take the average value of the secondary calculation values of the two sensors as the reference value of the reference sensor; the deviation value calculation unit uses the reference sensor’s The reference value is subtracted from the secondary calculation value to obtain the offset value of the reference sensor.

In the analog sensor monitoring system based on redundant data according to the present invention, the state determination module includes the following units for calculating the deviation value:

a secondary value calculation unit, configured to perform secondary calculation on the measurement data of each sensor in the at least two redundant sensors according to the sensor range, to obtain a secondary calculation value of each sensor;

A reference value calculation unit, configured to select one of the at least two redundant sensors as a reference sensor, and use the average value of the secondary calculation values of the sensors other than the reference sensor as the reference value of the reference sensor;

The deviation value calculation unit is used to subtract the reference value from the secondary calculation value of the reference sensor to obtain the deviation value of the reference sensor.

Implementing the redundant data-based analog sensor monitoring method and system of the present invention has the following beneficial effects: the present invention can make a judgment on the accuracy and reliability of the sensor through the cross-comparison between multiple redundant data, and Compared with regular calibration and replacement, the present invention does not need to disassemble and measure the sensor, and only uses the data output by the sensor to make judgments, avoiding problems caused by disassembly and installation, and is more timely.

Description of drawings

The present invention will be further described below in conjunction with accompanying drawing and embodiment, in the accompanying drawing:

Fig. 1 is the flow chart of the first embodiment of the analog quantity sensor monitoring method based on redundant data according to the present invention;

Fig. 2 is the flow chart of the second embodiment of the analog quantity sensor monitoring method based on redundant data according to the present invention;

Fig. 3 is the modular block diagram of the first embodiment of the analog quantity sensor monitoring system based on redundant data according to the present invention;

Fig. 4 is the module block diagram of the second embodiment of the analog quantity sensor monitoring system based on redundant data according to the present invention;

5 is a schematic diagram of a data acquisition module in a redundant data-based analog sensor monitoring system according to the present invention;

Fig. 6 is a schematic diagram of a state judgment module in the redundant data-based analog sensor monitoring system according to the present invention.

detailed description

In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

The invention provides an analog sensor monitoring method and system based on redundant data, which is especially suitable for a control system of a nuclear power plant.

Please refer to FIG. 1 , which is a flow chart of a first embodiment of a redundant data-based analog sensor monitoring method according to the present invention. For ease of description, only parts related to the embodiments of the present invention are shown. As shown in Figure 1, the redundant data-based analog sensor monitoring method provided by this embodiment includes the following steps:

First, in step S1, a data acquisition step is performed to acquire measurement data of at least two redundant sensors. In a preferred embodiment of the present invention, the step S1 further includes: selecting a data acquisition method according to the model of the sensor, if it is automatically acquired, then automatically acquire the measurement data of the sensor, if it is manually entered, then acquire the user's manual input data as The measurement data of the sensor.

Subsequently, in step S2, read the sensor state judgment logic and the sensor state judgment criterion from the database according to the model of the sensor.

Subsequently, in step S3, the measurement data obtained in step S1 is calculated and analyzed according to the sensor state judgment logic read in step S2, and a deviation value is obtained.

Subsequently, in step S4, the deviation value is compared with the sensor state determination criterion to obtain the sensor state.

In another preferred embodiment of the present invention, the method further includes the following step executed after the step S4: judging whether it is abnormal according to the sensor state, and if so, triggering a sensor state warning.

Please refer to FIG. 2 , which is a flow chart of a second embodiment of the redundant data-based analog sensor monitoring method according to the present invention. As shown in Figure 2, in this embodiment, a more detailed method flow is provided:

First, in step S201, the process starts.

Subsequently, in step S202, a sensor monitoring process is started upon receipt of an instruction to start monitoring. In the embodiment of the present invention, when the sensor monitoring process is started, the system will automatically perform monitoring and early warning periodically until receiving an instruction to stop monitoring. It should be understood that, for the monitoring mode of the sensor, in addition to the periodic automatic monitoring introduced in the embodiment of the present invention, there are also multiple modes such as single manual monitoring, and these modes should be included in this document within the scope of the present invention. within the scope of the claims of the invention.

Subsequently, in step S203-step S206, a data acquisition step is performed, which corresponds to step S1 in the aforementioned first embodiment. in:

In step S203, select the mode of data acquisition according to the model of the sensor, if it is automatic acquisition, go to step S204, if it is manual acquisition, go to step S205. It should be understood that there are many types of sensors, and some sensors can convert the measured data into digital signals or electrical signal outputs, while some sensors cannot convert the measured data into digital signals or electrical signal outputs. For the former sensor, the measurement data can be obtained automatically; for the latter sensor, the measurement data can only be read by human eyes and then manually entered.

What needs to be pointed out here is that the sensor applicable to the present invention must be a redundant sensor, that is, for the same physical quantity, there are two or more relatively independent sensors of the same type, and the measured data must also be redundant. Data refers to relatively independent data measured by two or more sensors of the same type for the same physical quantity.

In step S204, the measurement data of the sensor is automatically acquired. It should be understood that there are many ways to acquire measurement data from sensors, and no matter which way is used to acquire data, it should be included in the protection scope of the present invention. The manual entry methods include the following:

1) Obtain data directly through the digital interface provided by the sensor;

2) Convert the measurement data output by the sensor in the form of an electrical signal into a digital signal and obtain it; that is, the sensor outputs the measurement data in the form of an electrical signal, and the system converts the electrical signal into a digital signal to obtain the data;

3) Read the stored measurement data of the sensor from the database; that is, the sensor transmits the measurement data to the database, and the system reads the data from the database;

4) Other methods capable of acquiring measurement data from the sensor.

In step S205, the manual entry is to obtain the data manually input by the user as the measurement data of the sensor. In the embodiment of the present invention, some types of sensors cannot output measurement data in the form of digital signals or electrical signals, and can only be manually entered after reading the measurement data by human eyes.

In step S206, check the validity of the measurement data to determine whether it is valid, if yes, go to step S207, otherwise go to step S211. In the embodiment of the present invention, whether it is automatically acquired data or manually entered data, errors may occur. Before using the data for further analysis, the validity of the data must be verified to avoid errors. It should be understood that there are many methods for verifying the validity of data, and no matter which method is used, it should be included in the protection scope of the present invention.

Subsequently, in step S207, the sensor state determination logic and the sensor state determination criterion are read from the database according to the sensor model. In the embodiment of the present invention, there are many types of sensors, and for different types of sensors, their sensor state judgment logics and judgment criteria are different. It should be understood that no matter what decision logic or criterion is adopted, it should be included in the protection scope of the present invention.

Subsequently, in step S208, the obtained measurement data is calculated and analyzed according to the sensor state judgment logic read in step S207 to obtain a deviation value. Depending on the number of redundant sensors, the following different deviation value calculation methods can be used as the sensor state judgment logic. When the number of the aforementioned at least two redundant sensors is two, step S208 is specifically: perform secondary calculation on the measurement data of each of the two sensors according to the sensor range, to obtain the secondary calculation value of each sensor ;Choose one of the two sensors as the reference sensor, and use the secondary calculation value of the other sensor as the reference value of the reference sensor, or use the average value of the secondary calculation values of the two sensors as the reference sensor value; finally, the reference value is subtracted from the quadratic calculated value of the reference sensor to obtain the offset value of the reference sensor. If there are three or more redundant sensors, and the selected reference sensor number is the first sensor, the average value of the secondary calculation values of the 2nd to N sensors may be selected as the reference value of the first sensor. Step S208 specifically includes the following steps: performing secondary calculation on the measurement data of each sensor in the at least two redundant sensors according to the measuring range of the sensor to obtain the secondary calculation value of each sensor; selecting at least two redundant sensors One sensor is used as a reference sensor, and the average value of the secondary calculation values of sensors other than the reference sensor is used as the reference value of the reference sensor; the reference value is obtained by subtracting the reference value from the secondary calculation value of the reference sensor deviation value.

Subsequently, in step S209, compare the deviation value with the sensor state judgment criterion to obtain the sensor state, and judge whether the sensor state is normal, if yes, go to step S210, otherwise go to step S211.

The following provides an example of sensor status determination for steps S208 and S209:

Three redundant sensors can be set in the system to measure the physical quantity "main feed water temperature of the secondary circuit". The guidelines are as follows.

Sensor state judgment logic:

1) According to the sensor range, the measurement data is calculated twice (formula: 250*(X-100)/400);

2) Use the average value of the secondary calculation values of sensors B and C as the reference value of sensor A;

3) Subtract the reference value of the sensor A from the secondary calculation value of the sensor A to obtain the deviation value of the sensor A.

Sensor status judgment criteria:

1) If the absolute value of the deviation value is less than 2.8, the sensor status is normal;

2) If the absolute value of the deviation value is greater than or equal to 2.8 and less than 3.4, the sensor status is degraded;

3) If the absolute value of the deviation value is greater than or equal to 3.4, the sensor status is failure;

4) If the sensor status is degraded or faulty, the sensor is considered abnormal.

Subsequently, in step S210, if it is judged abnormal according to the sensor state, a sensor state warning is triggered. In the embodiment of the present invention, when the state of the sensor is degraded or faulty, it is considered that the sensor is abnormal.

Subsequently, in step S211, it is detected whether a stop monitoring instruction is received, if yes, go to step S212, otherwise go to step S213.

Subsequently, in step S212, continue the monitoring of the next cycle, and go to step S203.

Finally, the process ends in step S213.

Please refer to FIG. 3 , which is a module block diagram of the first embodiment of the redundant data-based analog sensor monitoring system according to the present invention. The analog sensor monitoring system 100 based on redundant data provided in this embodiment at least includes: a data acquisition module 10 , a storage module 20 and a state determination module 30 .

Wherein, the data acquisition module 10 is used for acquiring measurement data of at least two redundant sensors. What needs to be pointed out here is that the sensor applicable to the present invention must be a redundant sensor, that is, for the same physical quantity, there are two or more relatively independent sensors of the same type, and the measured data must also be redundant. Data refers to relatively independent data measured by two or more sensors of the same type for the same physical quantity.

The storage module 20 is used for storing the sensor state judgment logic and the sensor state judgment criterion through the database.

The state determination module 30 is connected with the data acquisition module 10 and the storage module 20, and is used for reading the sensor state determination logic and the sensor state determination criterion from the database of the storage module 20 according to the model of the sensor, and according to the sensor state determination logic. Calculate and analyze the measured data to obtain the deviation value; compare the deviation value with the sensor state judgment criterion to obtain the sensor state.

Please refer to FIG. 4 , which is a module block diagram of the second embodiment of the redundant data-based analog sensor monitoring system according to the present invention. The analog sensor monitoring system 100 based on redundant data provided in this embodiment also includes a state early warning module 40, which is connected to the state determination module 30, and is used to determine whether the sensor state is abnormal, and if so, trigger the sensor state early warning.

Please refer to FIG. 5 , which is a schematic diagram of a data acquisition module in the redundant data-based analog sensor monitoring system according to the present invention. As shown in FIG. 5 , the data acquisition module 10 may specifically include: a mode determination unit 11 , an automatic acquisition unit 12 and a manual acquisition unit 13 . It should be understood that there are many types of sensors, and some sensors can convert the measured data into digital signals or electrical signal outputs, while some sensors cannot convert the measured data into digital signals or electrical signal outputs. For the former sensor, the measurement data can be obtained automatically; for the latter sensor, the measurement data can only be read by human eyes and then manually entered.

The mode determination unit 11 is used to select a data acquisition mode according to the model of the sensor, and send an automatic acquisition instruction or a manual acquisition instruction.

The automatic acquisition unit 12 is configured to automatically acquire the measurement data of the sensor after receiving an automatic acquisition instruction. It should be understood that there are many ways to acquire measurement data from sensors, and no matter which way is used to acquire data, it should be included in the protection scope of the present invention. The automatic acquisition unit 12 can automatically acquire the measurement data of the sensor in the following ways:

1) Obtain data directly through the digital interface provided by the sensor;

2) Convert the measurement data output by the sensor in the form of an electrical signal into a digital signal and obtain it; that is, the sensor outputs the measurement data in the form of an electrical signal, and the system converts the electrical signal into a digital signal to obtain the data;

3) Read the stored measurement data of the sensor from the database; that is, the sensor transmits the measurement data to the database, and the system reads the data from the database;

4) Other methods capable of acquiring measurement data from the sensor.

The manual acquisition unit 13 is configured to acquire the data manually input by the user as the measurement data of the sensor after receiving the manual acquisition instruction. In the embodiment of the present invention, some types of sensors cannot output measurement data in the form of digital signals or electrical signals, and can only be manually entered after reading the measurement data by human eyes.

In the embodiment of the present invention, the data acquisition module 10 may further include a data checking unit, configured to check the validity of the measurement data after the measurement data is acquired, so as to determine whether it is valid. Whether it is automatically obtained data or manually entered data, errors may occur. Before using the data for further analysis, the validity of the data must be verified to avoid errors. It should be understood that there are many methods for verifying the validity of data, and no matter which method is used, it should be included in the protection scope of the present invention.

Please refer to FIG. 6 , which is a schematic diagram of a state determination module in the redundant data-based analog sensor monitoring system according to the present invention. As shown in FIG. 6 , the state determination module 30 may specifically include the following units for calculating deviation values: a secondary value calculation unit 31 , a reference value calculation unit 32 and a deviation value calculation unit 33 . Depending on the number of redundant sensors, the following different deviation value calculation methods can be used as the sensor state judgment logic. Correspondingly, the operations performed by the reference value calculation unit 32 are different.

Wherein, the secondary value calculation unit 31 is configured to perform secondary calculation according to the measurement data of each sensor of at least two redundant sensors in the sensor range pair, to obtain the secondary calculation value of each sensor.

When the number of the aforementioned at least two redundant sensors is two, the reference value calculation unit 32 is used to select one of the two sensors as the reference sensor, and use the secondary calculation value of the other sensor as the reference of the reference sensor value, or take the average value of the secondary calculation values of the two sensors as the reference value of the reference sensor. When there are three or more redundant sensors, the reference value calculation unit 32 selects a sensor in at least two redundant sensors as a reference sensor, and uses the average value of the secondary calculation values of sensors other than the reference sensor as the reference value. Reference value of the reference sensor.

The deviation value calculation unit 33 is used to subtract the reference value from the secondary calculation value of the reference sensor to obtain the deviation value of the reference sensor.

In the embodiment of the present invention, there are many types of sensors, and for different types of sensors, the sensor state determination logic and determination criteria adopted by the state determination module 30 are different. It should be understood that no matter what decision logic or criterion is adopted, it should be included in the protection scope of the present invention.

A specific example of sensor state determination is given below to illustrate the present invention. Three redundant sensors can be set in the system to measure the physical quantity "main feed water temperature of the secondary circuit". The guidelines are as follows.

Sensor state judgment logic:

1) According to the sensor range, the measurement data is calculated twice (formula: 250*(X-100)/400);

2) Use the average value of the secondary calculation values of sensors B and C as the reference value of sensor A;

3) Subtract the reference value of the sensor A from the secondary calculation value of the sensor A to obtain the deviation value of the sensor A.

Criteria for judging sensor status:

1) If the absolute value of the deviation value is less than 2.8, the sensor status is normal;

2) If the absolute value of the deviation value is greater than or equal to 2.8 and less than 3.4, the sensor status is degraded;

3) If the absolute value of the deviation value is greater than or equal to 3.4, the sensor status is failure;

4) If the sensor status is degraded or faulty, the sensor is considered abnormal.

In summary, the present invention provides a redundant data-based analog sensor monitoring method and system, especially suitable for data monitoring of nuclear power plants, through the cross-comparison between multiple redundant data, the accuracy of the sensor and reliability can be judged. The method of the invention does not need to dismantle and measure the sensor, and only uses the data output by the sensor to judge, thereby avoiding problems caused by disassembly and installation. Moreover, the monitoring of the sensor is online and real-time in the present invention, and an early warning can be given immediately if a problem is found. In addition, the present invention does not require regular calibration and replacement, and only needs to be repaired and replaced when problems are found.

The present invention has been described based on specific embodiments, but those skilled in the art will understand that various changes and equivalent substitutions can be made without departing from the scope of the present invention. In addition, many modifications may be made to adapt the technique to a particular situation or material without departing from its scope. Therefore, it is intended that the invention not be limited to the particular embodiments disclosed herein, but include all embodiments falling within the scope of the appended claims.

Claims (6)

1. an analog sensor monitoring method based on redundant data, is characterized in that, described method comprises the following steps: S1. Obtain measurement data of at least two redundant sensors; S2. Read the sensor state judgment logic and the sensor state judgment criterion from the database according to the model of the sensor; S3. Calculate and analyze the measurement data according to the sensor state determination logic to obtain a deviation value; S4. Comparing the deviation value with the sensor state determination criterion to obtain the sensor state; Wherein, when the number of the at least two redundant sensors is two, step S3 is specifically: Perform a secondary calculation on the measurement data of each of the two sensors according to the sensor range to obtain the secondary calculation value of each sensor; Select one of the two sensors as the reference sensor, and use the secondary calculation value of the other sensor as the reference value of the reference sensor, or use the average value of the secondary calculation values of the two sensors as the reference value of the reference sensor ; subtracting the reference value from the secondary calculated value of the reference sensor to obtain an offset value of the reference sensor; And wherein, when the number of the at least two redundant sensors is three or more, the step S3 is specifically: performing secondary calculation on the measurement data of each sensor in the at least two redundant sensors according to the sensor range, to obtain the secondary calculation value of each sensor; Selecting one of the at least two redundant sensors as a reference sensor, and taking the average value of the secondary calculation values of the sensors other than the reference sensor as the reference value of the reference sensor; The reference value is subtracted from the secondary calculation value of the reference sensor to obtain an offset value of the reference sensor. 2. The analog quantity sensor monitoring method based on redundant data according to claim 1, is characterized in that, described method also comprises the following steps that are carried out after described step S4: It is judged according to the state of the sensor whether it is abnormal, and if so, an early warning of the state of the sensor is triggered. 3. the analog sensor monitoring method based on redundant data according to claim 1, is characterized in that, described step S1 further comprises: Select the data acquisition method according to the model of the sensor, if it is automatic acquisition, the sensor will be automatically acquired If the measurement data is manually entered, the data manually input by the user is obtained as the measurement data of the sensor. 4. An analog sensor monitoring system based on redundant data, characterized in that, the system includes: a data acquisition module for acquiring measurement data of at least two redundant sensors; The storage module is used to store the sensor state judgment logic and the sensor state judgment criterion through the database; the state judgment module is connected to the data acquisition module and the storage module, and is used to read the sensor state from the database according to the model of the sensor Judgment logic and sensor state judgment criteria, and calculate and analyze the measurement data of the sensor according to the sensor state judgment logic to obtain a deviation value; compare the deviation value with the sensor state judgment criterion to obtain the sensor state; Wherein, when the number of the at least two redundant sensors is two, the state determination module includes the following units for calculating the deviation value: The secondary value calculation unit performs secondary calculation on the measurement data of each of the two sensors according to the sensor range to obtain the secondary calculation value of each sensor; The reference value calculation unit selects one of the two sensors as the reference sensor, uses the secondary calculation value of the other sensor as the reference value of the reference sensor, or uses the average value of the secondary calculation values of the two sensors as the reference value. the reference value of the reference sensor; The deviation value calculation unit uses the secondary calculation value of the reference sensor to subtract the reference value to obtain the deviation value of the reference sensor; And wherein, when the number of the at least two redundant sensors is three or more, the state determination module includes the following units for calculating the deviation value: A secondary value calculation unit, configured to perform secondary calculation on the measurement data of each sensor of the at least two redundant sensors according to the sensor range, to obtain a secondary calculation value of each sensor; A reference value calculation unit, configured to select one of the at least two redundant sensors as a reference sensor, and use the average value of the secondary calculation values of the sensors other than the reference sensor as the reference value of the reference sensor; The deviation value calculation unit is used to subtract the reference value from the secondary calculation value of the reference sensor to obtain the deviation value of the reference sensor. 5. The analog quantity sensor monitoring system based on redundant data according to claim 4, is characterized in that, described system also comprises: The status warning module is connected with the status judging module, and is used to judge whether it is abnormal according to the status of the sensor, and if so, trigger the sensor status warning. 6. the analog sensor monitoring system based on redundant data according to claim 4, is characterized in that, described data acquisition module specifically comprises: A mode determination unit, configured to select a data acquisition mode according to the model of the sensor, and send an automatic acquisition instruction or a manual acquisition instruction; The automatic acquisition unit is configured to automatically acquire the measurement data of the sensor after receiving the automatic acquisition instruction; the manual acquisition unit is configured to acquire the data manually input by the user as the measurement data of the sensor after receiving the manual acquisition instruction.