Elevator band-type brake temperature monitoring and alarming system

Abstract

The invention discloses an elevator band-type brake temperature monitoring alarm system which comprises a first temperature sensor, a first temperature processing circuit, a second temperature sensor, a second temperature processing circuit, a displacement sensor, a displacement processing circuit, an alarm actuator, an alarm control switch circuit and a monitoring controller. The first temperature sensor is installed on a base in the elevator band-type brake device and used for monitoring the environment temperature T1. The second temperature sensor is mounted on a first clamping arm or a second clamping arm in the elevator band-type brake device, and the second temperature sensor is used for monitoring the temperature T2 of the clamping arm; and the displacement sensor is arranged on a base in the elevator band-type brake device. The elevator band-type brake temperature monitoring and alarming system solves the problem that in the prior art, temperature monitoring cannot be conducted on a first clamping arm and a second clamping arm in an elevator band-type brake device.

Description

Technical Field

[0001] The invention relates to the field of elevator monitoring, and in particular to an elevator brake temperature monitoring and alarm system. Background Art

[0002] like Figure 1 As shown, the elevator brake device includes: a base 1, a first mounting seat 2, a second mounting seat 3, a first guide rail 4, a second guide rail 5, a first clamping arm 6, a second clamping arm 7, an intermediate connecting block 8 and a pull rod 9. The first mounting seat 2 and the second mounting seat 3 are installed on the base 1. A mounting space is formed between the first mounting seat 2 and the second mounting seat 3. The first guide rail 4 is installed on the side of the first mounting seat 2 close to the second mounting seat 3. The first guide rail 4 is installed with a slidable first clamping arm 6. The second mounting seat 3 is installed on the side close to the first mounting seat 2. The second guide rail 5 is installed with a slidable second clamping arm 7. The direction in which the first guide rail 4 guides the first clamping arm 6 is the first guiding direction. The second guide rail 5 The direction of guiding the second clamping arm 7 is the second guiding direction. Both the first guiding direction and the second guiding direction form an acute angle with the vertical direction. The first guiding direction and the second guiding direction form an inverted V-shaped structure. The first clamping arm 6 and the second clamping arm 7 are connected by an intermediate connecting block 8. The intermediate connecting block 8 is fixed to the pull rod 9. The pull rod 9 passes through the base 1. The pull rod 9 is located in the vertical direction. The intermediate connecting block 8 is located on the side of the first clamping arm 6 and the second clamping arm 7 close to the inner wall of the base 1. The intermediate connecting block 8 is hinged to the first clamping arm 6 and the second clamping arm 7. The elevator guide rail passes between the first clamping arm 6 and the second clamping arm 7. The pull rod 9 is used to connect an external driving device, which is used to drive the pull rod 9 to move in the vertical direction. When the pull rod 9 moves upward, the first clamping arm 6 and the second clamping arm 7 approach each other to clamp the elevator guide rail to achieve the brake action. The base 1 is installed on the elevator car to ensure that the elevator car can stop steadily at a certain floor. When the external driving device drives the pull rod 9 to descend, the first clamping arm 6 and the second clamping arm 7 open, releasing the elevator guide rail to ensure that the elevator car can be raised and lowered.

[0003] However, during the braking action, the first clamping arm 6 and the second clamping arm 7 will inevitably have friction with the elevator guide rail, and the friction will generate heat, especially in hot summer weather, causing the temperature of the first clamping arm 6 and the second clamping arm 7 to increase sharply. When the temperature is too high, the first clamping arm 6 and the second clamping arm 7 will be excessively worn due to friction when the first clamping arm 6 and the second clamping arm 7 are engaged, thereby increasing the risk of the elevator car slipping and reducing the safety of the elevator. How to monitor the temperature of the first clamping arm 6 and the second clamping arm 7 in the elevator braking device is an urgent problem to be solved. Summary of the invention

[0004] The present invention provides an elevator brake temperature monitoring and alarm system to solve the problem in the prior art that the temperature of a first clamping arm and a second clamping arm in an elevator brake device cannot be monitored.

[0005] To achieve the above object, the present invention adopts the following technical solutions:

[0006] The present invention discloses an elevator brake temperature monitoring and alarm system, comprising: a first temperature sensor, a first temperature processing circuit, a second temperature sensor, a second temperature processing circuit, a displacement sensor, a displacement processing circuit, an alarm actuator, an alarm control switch circuit and a monitoring controller; the first temperature sensor is installed on the base of the elevator brake device, and the first temperature sensor is used to monitor the ambient temperature T 1 The second temperature sensor is installed on the first clamping arm or the second clamping arm in the elevator brake device. The second temperature sensor is used to monitor the clamping arm temperature T 2 ; The displacement sensor is installed on the base of the elevator brake device, and the displacement sensor is used to detect the distance d between its own position and the first clamping arm or the second clamping arm; the output end of the first temperature sensor is electrically connected to the first input end of the monitoring controller through the first temperature processing circuit, the output end of the second temperature sensor is electrically connected to the second input end of the monitoring controller through the second temperature processing circuit, and the output end of the displacement sensor is electrically connected to the third input end of the monitoring controller through the displacement processing circuit; the external power supply circuit supplies power to the alarm actuator through the alarm control switch circuit, and the control end of the alarm control switch circuit is connected to the output end of the monitoring controller; the monitoring controller is connected to the elevator master controller for communication, and the monitoring controller obtains the number of actions N of the elevator brake device within a specified time period from the elevator master controller. 1 ; The monitoring controller analyzes the ambient temperature T 1 , clamping arm temperature T 2 and the number of actions N within the specified time period 1 A model for predicting the temperature change of the clamping arm is obtained, and whether the clamping arm temperature is about to exceed the upper limit is predicted based on the model for predicting the temperature change of the clamping arm. The prediction operation is an over-high prediction operation, and when it is determined that the clamping arm temperature is about to exceed the upper limit, the alarm control switch circuit is controlled to command the alarm actuator to alarm.

[0007] Preferably, the monitoring controller obtains the following steps of predicting the clamping arm temperature change model by analyzing the ambient temperature T1, the clamping arm temperature T2 and the number of actions N1 within a specified time period:

[0008] S11. Obtain the ambient temperature T of the experimental test 1 , clamping arm temperature T 2 and the number of actions N within the specified time period 1 , for ambient temperature T 1 and the clamping arm temperature T2 Carry out data processing;

[0009] S12, using ambient temperature T 1 and the clamping arm temperature T 2 The first regression model is obtained by statistical analysis of the data. The first regression model is: T 2 =a 0 +a 1 T 1 +e 1 (Formula 1), where x is time, e 1 is the mean absolute error;

[0010] S13, using ambient temperature T 1 , clamping arm temperature T 2 and the number of actions N within the specified time period 1 The second regression model is obtained through statistical analysis of the data. The second regression model is: Formula 2 Within the specified time period T 1 The average value, T 2 Within the specified time period T 2 The average value, e 2 is the mean absolute error;

[0011] S14. Calculate the average of the mean absolute error between formula 1 and formula 2

[0012] S15, calculate f,

[0013] S16. Use f to modify the second regression model, and obtain the model for predicting the temperature change of the clamping arm:

[0014]

[0015] Preferably, the ambient temperature T of the experimental test is used. 1 Substituting into formula 1, we get the calculated clamping arm temperature T 2 , the clamping arm temperature T calculated by design 2 There are M values ​​of t 21i , t 21i It means that the clamping arm temperature at the i-th moment is calculated by formula 1;

[0016] Experimental test of the clamping arm temperature T 2 There are M values ​​t 22i , t 22i represents the clamping arm temperature at the i-th moment obtained by experimental testing;

[0017] Then 1 The calculation formula is

[0018] Preferably, the ambient temperature T 1 There are M values ​​t 11i , t 11i represents the ambient temperature at the i-th moment obtained from the experimental test, the ambient temperature T 1 and the clamping arm temperature T 2 The sampling frequency is w1, corresponding to the ambient temperature T 1 and the clamping arm temperature T 2 The sampling time period is w2; the sampling time period w2 is not equal to the specified time period w3, w3>w2, w3=v*w2, v is a set integer;

[0019] Without disrupting the collection time sequence, the ambient temperature T 1 M values ​​t 11i Divide into M / v groups of ambient temperature data, and perform the following calculations for each group: The average value of the jth group of ambient temperature data, M composition

[0020] Without disrupting the acquisition time sequence, the clamping arm temperature T 2 M values ​​t 11i The clamping arm temperature data is divided into M / v groups, and the following calculation is performed for each group: The average value of the jth group of gripper arm temperature data, M composition

[0021] Preferably, the monitoring controller compares the distance d with the set distance d0 to obtain the number of actions N of the elevator brake device within the specified time period. 2 ; Determine the number of each action N 2 Is it equal to the number of actions N? 1 If yes, then the super-high prediction operation is performed. If no, then the elevator brake device is warned to have an erroneous operation.

[0022] Compared with the prior art, the present invention has the following beneficial effects:

[0023] In this application, first, a first temperature sensor is set to monitor the ambient temperature T 1 Then, a second temperature sensor is set to monitor the clamping arm temperature T 2 , so as to study the clamping arm temperature T 2 According to the ambient temperature T 1 The change laid the foundation for the development of this method. The applicant subsequently obtained the first regression model through statistical analysis, thus reflecting the clamping arm temperature T in a mathematical model. 2and ambient temperature T 1 The relationship between the two is that the temperature of the first clamping arm and the second clamping arm will definitely increase with the increase of the ambient temperature, so a linear method is used to reflect the relationship between the two. Finally, by communicating with the elevator master controller, the number of actions N of the elevator brake device within the specified time period is obtained. 1 The reason is that when the elevator brake device is in operation, the first clamping arm and the second clamping arm rub against the elevator guide rail to generate heat. The more times the device is operated, the higher the temperature. Therefore, it is necessary to analyze the ambient temperature T 1 , clamping arm temperature T 2 and the number of actions N within the specified time period 1 The predicted clamping arm temperature change model is obtained to study the relationship between the three, so as to achieve the ultimate purpose of warning of excessively high temperature and provide an expected basis for the subsequent control of the elevator brake device.

[0024] Other advantages, objectives and features of the present invention will be embodied in part through the following description, and in part will be understood by those skilled in the art through study and practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 This is a structural diagram of an elevator brake device.

[0026] Reference numerals: base 1 , first mounting seat 2 , second mounting seat 3 , first guide rail 4 , second guide rail 5 , first clamping arm 6 , second clamping arm 7 , middle connecting block 8 , pull rod 9 . DETAILED DESCRIPTION

[0027] In order to make the technical means, creative features, objectives and functions of the present invention clearer and easier to understand, the present invention is further described below in conjunction with the accompanying drawings and specific embodiments:

[0028] The present invention discloses an elevator brake temperature monitoring and alarm system, comprising: a first temperature sensor, a first temperature processing circuit, a second temperature sensor, a second temperature processing circuit, a displacement sensor, a displacement processing circuit, an alarm actuator, an alarm control switch circuit and a monitoring controller; the first temperature sensor is installed on the base of the elevator brake device, and the first temperature sensor is used to monitor the ambient temperature T 1 The second temperature sensor is installed on the first clamping arm or the second clamping arm in the elevator brake device. The second temperature sensor is used to monitor the clamping arm temperature T 2; The displacement sensor is installed on the base of the elevator brake device, and the displacement sensor is used to detect the distance d between its own position and the first clamping arm or the second clamping arm; the output end of the first temperature sensor is electrically connected to the first input end of the monitoring controller through the first temperature processing circuit, the output end of the second temperature sensor is electrically connected to the second input end of the monitoring controller through the second temperature processing circuit, and the output end of the displacement sensor is electrically connected to the third input end of the monitoring controller through the displacement processing circuit; the external power supply circuit supplies power to the alarm actuator through the alarm control switch circuit, and the control end of the alarm control switch circuit is connected to the output end of the monitoring controller; the monitoring controller is connected to the elevator master controller for communication, and the monitoring controller obtains the number of actions N of the elevator brake device within a specified time period from the elevator master controller. 1 ; The monitoring controller analyzes the ambient temperature T 1 , clamping arm temperature T 2 and the number of actions N within the specified time period 1 A model for predicting the temperature change of the clamping arm is obtained, and whether the clamping arm temperature is about to exceed the upper limit is predicted based on the model for predicting the temperature change of the clamping arm. The prediction operation is an over-high prediction operation, and when it is determined that the clamping arm temperature is about to exceed the upper limit, the alarm control switch circuit is controlled to command the alarm actuator to alarm.

[0029] The monitoring controller obtains the following steps to predict the clamping arm temperature change model by analyzing the ambient temperature T1, the clamping arm temperature T2, and the number of actions N1 within a specified time period:

[0030] S11. Obtain the ambient temperature T of the experimental test 1 , clamping arm temperature T 2 and the number of actions N within the specified time period 1 , for ambient temperature T 1 and the clamping arm temperature T 2 Carry out data processing;

[0031] S12, using ambient temperature T 1 and the clamping arm temperature T 2 The first regression model is obtained by statistical analysis of the data. The first regression model is: T 2 =a 0 +a 1 T 1 +e 1 (Formula 1), where x is time, e 1 is the mean absolute error; (This first regression model reflects the ambient temperature T 1 , clamping arm temperature T 2 The relationship between the two, and the e in formula 1 1 It also shows that when only the ambient temperature T 1 To calculate the clamping arm temperature T2 The error obtained when the clamping arm temperature T 2 Also received the number of actions N 1 Impact of

[0032] S13, using ambient temperature T 1 , clamping arm temperature T 2 and the number of actions N within the specified time period 1 The second regression model is obtained through statistical analysis of the data. The second regression model is: Formula 2 Within the specified time period T 1 The average value of Within the specified time period T 2 The average value, e 2 is the mean absolute error; (This second regression model reflects the ambient temperature T 1 , clamping arm temperature T 2 and the number of actions N within the specified time period 1 The relationship between the three is that the error is small, but since the sampling cycle of the temperature sensor cannot be consistent with the specified time period during detection, the ambient temperature T that needs to be adjusted 1 and the clamping arm temperature T 2 , and obtain the corresponding as well as To build the second regression model together)

[0033] S14. Calculate the average of the mean absolute error between formula 1 and formula 2

[0034] S15, calculate f,

[0035] S16. Use f to modify the second regression model, and obtain the model for predicting the temperature change of the clamping arm: (The principle of this correction is that as well as It is the average value within the specified time period, not the maximum value, so there will be a problem of difference with the larger temperature. Therefore, the average value of the error between formula 1 and formula 2 is used, and With e 2 Subtract the absolute difference between the two to increase the final Make Close to higher temperatures, More reasonable and more conducive to judging the occurrence of ultra-high situations).

[0036] The experimental test environment temperature T 1Substituting into formula 1, we get the calculated clamping arm temperature T 2 , the clamping arm temperature T calculated by design 2 There are M values ​​of t 21i , t 21i It means that the clamping arm temperature at the i-th moment is calculated by formula 1;

[0037] Experimental test of the clamping arm temperature T 2 There are M values ​​t 22i , t 22i represents the clamping arm temperature at the i-th moment obtained by experimental testing;

[0038] Then 1 The calculation formula is This is the calculation e 1 way, 2 The calculation method is the same as e 1 Same.

[0039] Ambient temperature T 1 There are M values ​​t 11i , t 11i represents the ambient temperature at the i-th moment obtained from the experimental test, the ambient temperature T 1 and the clamping arm temperature T 2 The sampling frequency is w1, corresponding to the ambient temperature T 1 and the clamping arm temperature T 2 The sampling time period is w2; the sampling time period w2 is not equal to the specified time period w3, w3>w2, w3=v*w2, v is a set integer;

[0040] Without disrupting the collection time sequence, the ambient temperature T 1 M values ​​t 11i Divide into M / v groups of ambient temperature data, and perform the following calculations for each group: The average value of the jth group of ambient temperature data, M composition

[0041] Without disrupting the acquisition time sequence, the clamping arm temperature T 2 M values ​​t 11i The clamping arm temperature data is divided into M / v groups, and the following calculation is performed for each group: The average value of the jth group of gripper arm temperature data, M composition Implemented calculation as well as

[0042] The monitoring controller compares the distance d with the set distance d0 to obtain the number of times the elevator brake device operates within the specified time period N. 2 ; Determine the number of each action N 2 Is it equal to the number of actions N? 1 If yes, then the super-high prediction operation is performed, if not, then the elevator brake device is warned of an error. This step is to avoid the elevator brake device failure, without the need for a temperature warning, and directly alarm the elevator brake device failure.

[0043] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the purpose and scope of the technical solution of the present invention, which should be included in the scope of the claims of the present invention.

Claims

1. Elevator brake temperature monitoring and alarm system, characterized in that: include: A first temperature sensor, a first temperature processing circuit, a second temperature sensor, a second temperature processing circuit, a displacement sensor, a displacement processing circuit, an alarm actuator, an alarm control switch circuit, and a monitoring controller; The first temperature sensor is installed on the base of the elevator brake device, and the first temperature sensor is used to monitor the ambient temperature T1; The second temperature sensor is installed on the first clamping arm or the second clamping arm in the elevator brake device, and the second temperature sensor is used to monitor the clamping arm temperature T2; The displacement sensor is installed on the base of the elevator brake device, and the displacement sensor is used to detect the distance d between its own position and the first clamping arm or the second clamping arm; The output end of the first temperature sensor is electrically connected to the first input end of the monitoring controller through the first temperature processing circuit, the output end of the second temperature sensor is electrically connected to the second input end of the monitoring controller through the second temperature processing circuit, and the output end of the displacement sensor is electrically connected to the third input end of the monitoring controller through the displacement processing circuit; The external power supply circuit supplies power to the alarm actuator through the alarm control switch circuit, and the control end of the alarm control switch circuit is connected to the output end of the monitoring controller; The monitoring controller is connected to the elevator master controller through communication, and the monitoring controller obtains the number of actions N1 of the elevator brake device within a specified time period from the elevator master controller; The monitoring controller obtains a predicted clamping arm temperature change model by analyzing the ambient temperature T1, the clamping arm temperature T2 and the number of actions N1 within a specified time period, and predicts whether the clamping arm temperature is about to exceed the limit based on the predicted clamping arm temperature change model. The prediction operation is an over-high prediction operation, and when it is determined that the clamping arm temperature is about to exceed the limit, the alarm control switch circuit is controlled to command the alarm actuator to alarm.

2. The elevator brake temperature monitoring and alarm system according to claim 1 is characterized in that: The monitoring controller obtains the following steps to predict the clamping arm temperature change model by analyzing the ambient temperature T1, the clamping arm temperature T2, and the number of actions N1 within a specified time period: S11, obtaining the ambient temperature T1, the clamping arm temperature T2 and the number of actions N1 within a specified time period of the experimental test, and performing data processing on the ambient temperature T1 and the clamping arm temperature T2; S12, using the data of the ambient temperature T1 and the clamping arm temperature T2 to statistically analyze and obtain a first regression model, the first regression model is: T2 = a0 + a1T1 + e1 (Formula 1), where x is time and e1 is the mean absolute error; S13, using the data statistical analysis of the ambient temperature T1, the clamping arm temperature T2 and the number of actions N1 within a specified time period to obtain a second regression model, the second regression model is: Formula 2 is the average value of T1 within the specified time period, is the average value of T2 in the specified time period, and e2 is the mean absolute error; S14. Calculate the average of the mean absolute error between formula 1 and formula 2 S15, calculate f, S16. Use f to modify the second regression model, and obtain the model for predicting the temperature change of the clamping arm:

3. The elevator brake temperature monitoring and alarm system according to claim 2 is characterized in that: Substituting the experimental test ambient temperature T1 into formula 1, the calculated clamping arm temperature T2 is obtained. The designed clamping arm temperature T2 has M values ​​t 21i , t 21i It means that the clamping arm temperature at the i-th moment is calculated by formula 1; The experimental test shows that the clamping arm temperature T2 has M values ​​t 22i , t 22i represents the clamping arm temperature at the i-th moment obtained by experimental testing; Then the calculation formula of e1 is 4. The elevator brake temperature monitoring and alarm system according to claim 3 is characterized in that: There are M values ​​t in the ambient temperature T1 11i , t 11i represents the ambient temperature at the i-th moment obtained by the experimental test, the sampling frequency of the ambient temperature T1 and the clamping arm temperature T2 is w1, and the corresponding sampling time period of the ambient temperature T1 and the clamping arm temperature T2 is w2; the sampling time period w2 is not equal to the specified time period w3, w3>w2, w3=v*w2, v is a set integer; Without disrupting the order of the acquisition time, the M values ​​t in the ambient temperature T1 are 11i Divide into M / v groups of ambient temperature data, and perform the following calculations for each group: The average value of the jth group of ambient temperature data, M composition Without disrupting the acquisition time sequence, the M values ​​of the clamping arm temperature T2 are 11i The clamping arm temperature data is divided into M / v groups, and the following calculation is performed for each group: The average value of the jth group of gripper arm temperature data, M composition 5. The elevator brake temperature monitoring and alarm system according to claim 4 is characterized in that: The monitoring controller compares the distance d with the set distance d0 to obtain the number of actions N2 of the elevator brake device within the specified time period; determines whether each number of actions N2 is equal to each number of actions N1. If so, an ultra-high prediction operation is performed; if not, an early warning of an elevator brake device action error is issued.

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