Novel anti-explosion elevator limit switch and anti-explosion method

Abstract

The application discloses a novel anti-explosion elevator limit switch and an anti-explosion method, relates to the technical field of elevator limit switches, and comprises a limit switch body and an intelligent prediction control system. The outer wall of the limit switch body is provided with the intelligent prediction control system. The intelligent prediction control system comprises an anti-explosion positioning subsystem and an anti-collision and anti-squatting subsystem. The intelligent prediction positioning system further comprises a multi-path signal acquisition module, a signal processing and distribution module, a prediction module and an action module. The prediction module is arranged. For different subsystems, the prediction module is used for calculating the floor arrival prediction time and the collision and squatting prediction time, respectively. According to the prediction time, the time point at which the limit switch sends the on-off control instruction to the elevator operation control system is set, the elevator is stopped in time when encountering a dangerous condition, the limit switch has a prediction function, the response sensitivity of the limit switch is improved, and the limit switch has better anti-explosion and anti-collision and anti-squatting functions.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of elevator limit switches, in particular to a novel anti-explosion elevator limit switch and anti-explosion method. BACKGROUND

[0002] The anti-explosion elevator limit switch is an electrical switch used to determine or limit the running direction of the elevator or the limit position of the elevator, which is generally connected with the running controller or running control system of the elevator to cut off or change the control circuit, control the anti-explosion elevator to stop running, and prevent dangerous conditions from occurring. However, the existing anti-explosion elevator limit switch generally triggers the limit switch by touching the elevator, and the limit switch is prone to delay, which is not convenient for quickly responding to dangerous conditions.

[0003] The defects of the existing anti-explosion elevator limit switch are:

[0004] 1. In the patent document JP2001106447A, the main consideration is how to make the limit switch more effective, without considering the problem that the limit switch is prone to delay and is not convenient for quickly responding to dangerous conditions;

[0005] 2. In the patent document JP2009161332A, the main consideration is to make the elevator be at the lowest floor when encountering dangerous conditions, without considering the problem that the detection data is not perfect and is prone to reduce the accuracy of the prediction time;

[0006] 3. In the patent document CN107555288B, the main consideration is how to enter one or more parts of the elevator system more than the single standard limit switch, without considering the problem of preprocessing the data detected in the limit switch system;

[0007] 4. In the patent document KR100928188B1, the main consideration is how the limit switch prevents the elevator from hitting the top and squatting the bottom, but the limit switch does not have multiple sensing detection signals for separation and input into different subsystems. SUMMARY

[0008] The present application aims to provide a novel anti-explosion elevator limit switch and anti-explosion method to solve the problems raised in the background.

[0009] To achieve the above-mentioned purpose, the present application provides the following technical solution: a novel anti-explosion elevator limit switch, comprising a limit switch body and an intelligent prediction control system, the outer wall of the limit switch body is provided with an intelligent prediction control system, the intelligent prediction control system comprises an anti-explosion positioning subsystem and an anti-top-hitting and bottom-squatting subsystem, the intelligent prediction positioning system further comprises a multi-channel signal acquisition module, a signal processing and division module, a prediction module and an action module.

[0010] The multi-channel signal acquisition module is configured to acquire sensing detection data, the signal processing and distribution module is configured to pre-process and fuse the sensing detection data, and transmit the processed detection data to a corresponding subsystem, the prediction module is configured to perform prediction calculation on the detection data in the subsystem, and output a prediction result, and the action module is configured to output an action instruction according to the prediction result.

[0011] The signal processing and distribution module is electrically connected with the multi-channel signal acquisition module, the anti-explosion positioning subsystem and the anti-collision and squatting subsystem, and the prediction module is electrically connected with the action module, the anti-explosion positioning subsystem and the anti-collision and squatting subsystem.

[0012] Preferably, the limit switch body is installed on the inner wall of the elevator shaft, and the number of limit switches installed is two, which are located near the top and bottom of the elevator shaft, respectively, and are called upper limit switch and lower limit switch. An elevator car that can move up and down is arranged in the elevator shaft, an elevator control system is installed at the top of the elevator shaft, and the elevator control system is electrically connected with the limit switch body.

[0013] Preferably, the multi-channel signal acquisition module comprises a signal acquisition unit and a signal receiving unit, the signal acquisition unit comprises a distance measuring sensor, a combustible gas sensor, a floor alignment sensor, a CCD camera, a speed measuring sensor and an acceleration sensor.

[0014] The distance measuring sensor and the acceleration sensor are both installed at the bottom of the upper limit switch body and the top of the lower limit switch body, respectively, for detecting the distance from the elevator car to the upper and lower limit switch bodies and the acceleration of the whole elevator car, the combustible gas sensor and the speed measuring sensor are both installed on the inner wall of the elevator car, respectively, for detecting the concentration of combustible gas in the elevator car and the running speed of the elevator car, the CCD camera is installed on the outer wall of the elevator car, for acquiring position information of the elevator car, the floor alignment sensor is installed on the inner wall of the elevator shaft and located between the upper and lower limit switch bodies, and the floor alignment sensor is aligned with the floor elevator door, for detecting whether the elevator car reaches the corresponding floor, and the inner wall of the elevator shaft is provided with a scale line between adjacent floor alignment sensors.

[0015] The signal receiving unit is electrically connected with the signal acquisition unit, and is configured to receive detection signals of different sensors, and convert the sensing signals into analog signals through analog-digital conversion, and transmit the analog signals to the signal processing and distribution module.

[0016] Preferably, the signal processing and distribution module comprises a signal pre-processing unit and a signal distribution unit, the signal pre-processing unit is configured to pre-process the analog signals, and the signal pre-processing unit comprises a signal amplification subunit, a filtering processing subunit, a weighting processing subunit and a data signal generation subunit.

[0017] The signal amplification subunit is provided with a sensing signal amplification circuit for amplifying the tiny signal in the analog signal, and the input end of the sensing signal amplification circuit is connected with the output end of the signal receiving unit, and the output end of the sensing amplification circuit is connected with the input end of the filtering processing subunit;

[0018] The amplified analog signal is filtered and denoised by the filtering processing algorithm in the filtering processing subunit to obtain a clean analog pulse signal, and the clean analog pulse signal is weighted and averaged by the weighted average algorithm in the weighted processing subunit, so that multiple sets of sensing detection signals are in a balanced state, and the data signal generation unit intercepts the effective characteristic segment of the analog pulse signal and modulates the characteristic segment into a data signal in the form of a digital signal through PCM;

[0019] The data signal is transmitted to the signal division unit, and a data system relationship matrix for dividing the sensing detection signal is formed by taking multiple sets of data signals as elements, the correlation coefficient of the relationship matrix is calculated, and the data signal is divided;

[0020] The data system relationship matrix is as follows: the first relationship matrix is:

[0021]

[0022] The second relationship matrix is:

[0023] v1 a1 l1

[0024] v2 a2 l2

[0025] V3 a3 l3

[0026] The Pearson correlation coefficient algorithm is used to calculate the correlation coefficient R1 of the first relationship matrix and the correlation coefficient R2 of the second matrix, and R1>0 and R2>0;

[0027] The abscissa of the first relationship matrix is V, A, L, P and N respectively, the abscissa of the second relationship matrix is V, A and L respectively, and the ordinate of the first relationship matrix and the second relationship matrix is the characteristic vector corresponding to the abscissa, wherein V represents the sensing detection data of the speed sensor, A represents the sensing detection data of the acceleration sensor, L represents the sensing detection data of the distance sensor, P represents the sensing detection data of the combustible gas sensor, and N represents the sensing detection data of the to-bit sensor.

[0028] R1>0 represents that V, A, L, P and N are related, and are the sensing detection data required by the anti-explosion positioning subsystem, and R2>0 represents that V, A and L are related, and are the sensing detection data required by the anti-bump squatting bottom subsystem.

[0029] Preferably, the prediction module comprises a first prediction submodule and a second prediction submodule, and the first prediction submodule and the second prediction submodule respectively comprise a result calculation unit and a response result output unit;

[0030] The result calculation unit in the first prediction submodule receives the data signal in the first relationship matrix in the signal processing and division module, judges whether P is out of the set flammable gas concentration range (0, P MAX ), when P is out of the flammable gas concentration range, the CCD camera collects the inner wall picture of the elevator shaft, judges the position of the elevator car according to the scale value information D in the picture, determines the position of the floor arrival sensor closest to the moving direction of the elevator car exit, obtains the distance L1 between the motor car and the floor arrival sensor closest to the direction through the scale value information D, calculates the arrival prediction time t of the elevator car to the floor arrival sensor through the floor arrival time prediction formula, wherein the floor arrival time prediction formula is: t = L1 / v, and transmits the arrival prediction time to the action module;

[0031] Wherein v is the running speed of the elevator car.

[0032] Preferably, the result calculation unit in the second prediction submodule receives the data signal in the second relationship matrix in the signal processing and division module, judges whether L is within the distance prediction range (L2, L3+L2) set by the prediction module, if within the range, calculates the time required for the elevator car to move from the measured position to the limit switch, denoted as prediction time T, through the top hitting and bottom squatting prediction time calculation formula:

[0033] L-L2 = V*t1;

[0034] L2 = v*t2-1 / 2at22;

[0035] T = t1+t2;

[0036] Wherein L is the distance from the top or bottom of the elevator car to the upper or lower limit switch detected by the distance measuring sensor, L3 is the distance for uniform motion when the elevator car approaches the limit switch, L2 is the uplink forced distance or downlink forced distance before the top or bottom of the elevator car contacts the upper or lower limit switch, i.e. the distance for deceleration motion before the top or bottom of the elevator car contacts the upper or lower limit switch, t1 is the time required for passing through the uniform motion segment, t2 is the time required for passing through the deceleration motion segment, and the response result output unit transmits the prediction time T to the action module.

[0037] Preferably, the action module comprises a prediction result receiving unit and an action instruction output unit, the prediction result receiving unit is used for receiving the elevator arrival prediction time output by the response result output unit in the prediction module, and the action instruction output unit outputs the on-off instruction of the limit switch to the elevator operation control system according to the elevator arrival prediction time.

[0038] Preferably, the filtering processing algorithm comprises one or more of wavelet denoising, adaptive filtering processing algorithm, low-pass filtering processing algorithm, high-pass filtering processing algorithm and band-pass filtering processing algorithm.

[0039] A new explosion-proof method of an explosion-proof elevator limit switch, applicable to the new explosion-proof elevator limit switch of any one of claims 1-8, the explosion-proof method of the new explosion-proof elevator limit switch is as follows:

[0040] S1, a plurality of sensors are used to detect sensing detection signals in the running state of the elevator car, and a signal receiving unit is used to integrate and convert the sensing detection signals;

[0041] S2, the integrated sensing detection signals are amplified, filtered and weighted by a signal processing unit, and a data signal is generated, the data signal forms a relationship matrix, and the correlation between the data signals and the attribution of the subsystem are judged;

[0042] S3, when the elevator car is in the running state and has not reached the range of hitting the top or squatting the bottom, if P>P MAX , the CCD camera collects images in the elevator shaft, combines the running direction of the elevator car and the scale line value information D, judges the distance from the nearest floor to the sensor and the distance from the floor to the sensor, calculates the prediction time of the elevator car reaching the nearest floor through a floor arrival time prediction formula, and the action module sends a control instruction to the elevator operation control system through the limit switch according to the prediction time;

[0043] S4, when P is in (0, P MAX ), the elevator car is in normal operation, when the elevator car runs close to the top or bottom of the elevator shaft, the distance sensor detects the distance L between the elevator car and the limit switch body, when L is in (L2, L3+L2), the prediction time of reaching the limit switch body is calculated through a hitting-the-top-and-squatting-the-bottom prediction time calculation formula, and the action module sends a control instruction to the elevator operation control system through the limit switch according to the prediction time.

[0044] Compared with the prior art, the present application has the following advantages:

[0045] 1. The application is provided with a prediction module, which calculates the floor-to-position prediction time and the top-bumping and bottom-squatting prediction time for different subsystems, sets the time point for the limit switch to send the on-off control instruction to the elevator operation control system according to the prediction time, so that the elevator can stop in time when encountering dangerous conditions, the limit switch has a prediction function, the response sensitivity of the limit switch is improved, and the anti-explosion and anti-top-bumping and bottom-squatting functions are better.

[0046] 2. The application is provided with a multi-channel signal acquisition module for detecting different sensing data in the elevator running state, and the signal receiving unit integrates the multi-channel sensing detection data, so that the detection data is more perfect, and the accuracy of the limit switch body predicting the elevator running state according to the sensing detection data is improved.

[0047] 3. The application is provided with a signal preprocessing unit, which amplifies, filters, weights and processes the analog signal, reduces or eliminates the occurrence of analog signal shielding or folding phenomenon, reduces or eliminates interference signals, and avoids analog signal loss. The data signal generation unit converts the analog signal into a digital signal, which is convenient for relatedness judgment of the signal, and transmits the data signal to the correct subsystem.

[0048] 4. The application is provided with a signal processing unit, which judges the correlation of the sensing detection signal of the data signal of the multi-group sensor by the data system relationship matrix of the data signal, accurately transmits the data signal to the correct subsystem, improves the accuracy of data processing, prevents data cross-mixing by setting different subsystems, and improves the accuracy of the limit switch in anti-explosion judgment and anti-top-bumping and bottom-squatting judgment. BRIEF DESCRIPTION OF DRAWINGS

[0049] Figure 1 It is a schematic diagram of the limit switch of the application;

[0050] Figure 2 It is a schematic diagram of the limit switch of the application;

[0051] Figure 3 It is a structure diagram of the intelligent prediction positioning system of the application;

[0052] Figure 4 It is a signal processing and processing module structure diagram of the application;

[0053] Figure 5 It is a flow chart of the anti-explosion positioning method of the application.

[0054] In the figure: 1, limit switch body; 2, intelligent prediction control system; 3, elevator shaft; 4, elevator operation control system; 5, elevator car. DETAILED DESCRIPTION

[0055] With reference to the accompanying drawings, the technical solutions in the embodiments of the present application will be clearly and completely described in the description of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the scope of the present application.

[0056] In the description of the present application, it should be noted that the terms "upper", "lower", "inner", "outer", "front end", "rear end", "two ends", "one end", "the other end" and the like indicate the orientation or positional relationship shown in the drawings, and are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the devices or elements referred to must have a particular orientation, be constructed and operated in a particular orientation, and therefore cannot be understood as limiting the present application. In addition, the terms "first" and "second" are only for descriptive purposes and cannot be understood as indicating or implying relative importance.

[0057] In the description of the present application, it should be noted that unless otherwise explicitly specified and limited, the terms "mounting", "provided with", "connection" and the like should be broadly understood, for example, "connection" can be fixed connection, can also be detachable connection, or integral connection; can be mechanical connection, can also be electrical connection; can be directly connected, can also be indirectly connected through an intermediate medium, can be the communication inside two elements. For those of ordinary skill in the art, the specific meaning of the above terms in the present application can be understood according to the specific circumstances.

[0058] Please refer to Figure 1 、 Figure 2 and Figure 3 , the present application provides an embodiment: a new type of explosion-proof elevator limit switch and explosion-proof method, including limit switch body and intelligent prediction control system, the outer wall of the limit switch body is provided with the intelligent prediction control system, the intelligent prediction control system includes anti-explosion positioning subsystem and anti-collision top squat bottom subsystem, the intelligent prediction positioning system further includes a plurality of signal acquisition modules, signal processing and division modules, prediction modules and action modules;

[0059] The multi-channel signal acquisition module is used for collecting sensing detection data, the signal processing and division module is used for pre-processing and fusing the sensing detection data, and the processed detection data is transmitted to the corresponding subsystem, the prediction module respectively predicts and calculates the detection data in the subsystem, and outputs the prediction result, and the action module is used for outputting the action instruction of the limit switch according to the prediction result;

[0060] The signal processing and distribution module is electrically connected with the multi-channel signal acquisition module, the explosion-proof positioning subsystem and the anti-collision and squatting subsystem, and the prediction module is electrically connected with the action module, the explosion-proof positioning subsystem and the anti-collision and squatting subsystem.

[0061] The limit switch body is installed on the inner wall of the elevator shaft, and the installation number of the limit switch is two, which are located near the top and bottom of the elevator shaft, and are called upper limit switch and lower limit switch.

[0062] Please refer to Figure 1 and Figure 3 An embodiment provided by the application: a novel explosion-proof elevator limit switch and explosion-proof method, comprising a multi-channel signal acquisition module comprising a signal acquisition unit and a signal receiving unit, the signal acquisition unit comprising a distance measuring sensor, a combustible gas sensor, a floor alignment sensor, a CCD camera, a speed measuring sensor and an acceleration sensor.

[0063] The distance measuring sensor and the acceleration sensor are installed at the bottom of the upper limit switch body and the top of the lower limit switch body, respectively, for detecting the distance of the elevator car to the upper and lower limit switch bodies and the acceleration of the whole elevator box, the combustible gas sensor and the speed measuring sensor are installed on the inner wall of the elevator box, respectively, for detecting the combustible gas concentration in the elevator car and the running speed of the elevator box, the CCD camera is installed on the outer wall of the elevator car, for collecting position information of the elevator car, the floor alignment sensor is installed on the inner wall of the elevator shaft and located between the upper and lower limit switch bodies, and the floor alignment sensor is aligned with the floor elevator door, for detecting whether the elevator box reaches the corresponding floor, the installation number of the floor alignment sensor is the same as the number of floors of the elevator shaft, and the inner wall of the elevator shaft is provided with a scale line, and the scale line is located between adjacent floor alignment sensors.

[0064] The signal receiving unit is electrically connected with the signal detection unit, and is used for receiving detection signals of different sensors and converting the sensing signals into analog signals through analog-to-digital conversion, and transmitting the analog signals to the signal processing and distribution module.

[0065] Further, by arranging multiple groups of different types of sensors, different sensing data in the running state of the elevator are detected, the signal receiving unit integrates the multi-channel sensing detection data, so that the detection data is more perfect, and the accuracy of the prediction of the limit switch body on the running state of the elevator according to the sensing detection data is improved.

[0066] Please refer to Figure 4The application provides a novel anti-explosion elevator limit switch and an anti-explosion method, and a signal processing and division module comprises a signal preprocessing unit and a signal division unit.

[0067] The signal amplification subunit is provided with a sensing signal amplification circuit for amplifying the micro signal in the analog signal, and the input end of the sensing signal amplification circuit is connected with the output end of the signal receiving unit, and the output end of the sensing amplification circuit is connected with the input end of the filter processing subunit.

[0068] The amplified analog signal is filtered and denoised by a filter processing algorithm in the filter processing subunit to obtain a clean analog pulse signal, and the filter processing algorithm comprises one or more of a wavelet denoising algorithm, an adaptive filter processing algorithm, a low-pass filter processing algorithm, a high-pass filter processing algorithm and a band-pass filter processing algorithm.

[0069] The clean analog pulse signal is weighted and averaged by a weighted average algorithm in the weighted processing subunit, the multiple sets of clean pulse signals are weighted and averaged, the multiple sets of sensing detection signals are in a balanced state, the data signal generation unit intercepts the effective characteristic fragments of the analog pulse signal, and the characteristic fragments are modulated into a digital signal form of data signal by PCM.

[0070] Further, the analog signal is amplified, filtered, weighted and the like by the signal preprocessing unit, the emergence of the analog signal shielding or folding phenomenon is reduced, the interference signal is reduced or eliminated, and the analog signal loss is avoided, the analog signal is converted into a digital signal by the data signal generation unit, the correlation of the signal is judged, and the data signal is transmitted to the correct subsystem.

[0071] Please refer to Figure 3 and Figure 4 An embodiment of the application provides a novel anti-explosion elevator limit switch and an anti-explosion method, which comprises transmitting the data signal to the signal division unit, taking multiple sets of data signals as elements to form a data system relationship matrix for dividing the sensing detection signal, calculating the correlation coefficient of the relationship matrix, and dividing the data signal.

[0072] The data system relationship matrix is as follows: a first relationship matrix:

[0073]

[0074] A second relationship matrix:

[0075] v1 a1 l1

[0076] v2 a2 l2

[0077] V3 a3 l3

[0078] The correlation coefficient R1 of the first relation matrix and the correlation coefficient R2 of the second matrix are calculated using the Pearson correlation coefficient algorithm, where R1>0 and R2>0.

[0079] The horizontal coordinates of the first relation matrix are V, A, L, P, and N, respectively, and the horizontal coordinates of the second relation matrix are V, A, and L, respectively. The vertical coordinates of the first and second relation matrices are the eigenvectors corresponding to the horizontal coordinates, where V represents the speed sensor sensing data, A represents the acceleration sensor sensing data, L represents the distance sensor sensing data, P represents the combustible gas sensor sensing data, and N represents the position sensor sensing data.

[0080] R1>0 indicates that the data is related to V, A, L, P, and N, and is the sensor detection data required by the explosion-proof positioning subsystem. R2>0 indicates that the data is related to V, A, and L, and is the sensor detection data required by the anti-overhead and anti-bottoming subsystem.

[0081] Furthermore, by using the data system relationship matrix of the data signals, the correlation of the sensing and detection signals of multiple sets of sensors is determined, and the data signals are accurately transmitted to the correct subsystem, thereby improving the accuracy of data distribution. By setting different subsystems, data crossover and confusion are prevented, and the accuracy of limit switches in making explosion-proof judgments and anti-overhead and anti-bottom-down judgments is improved.

[0082] Please see Figure 3 and Figure 5 The present invention provides an embodiment of a novel explosion-proof elevator limit switch and explosion-proof method, wherein the prediction module includes a first prediction submodule and a second prediction submodule, and the first prediction submodule and the second prediction submodule respectively include a result calculation unit and a response result output unit;

[0083] The result calculation unit in the first prediction submodule receives the data signal from the first relation matrix in the signal processing and statistical module, and determines whether P exceeds the set combustible gas concentration range (0, PMAX). When P exceeds the combustible gas concentration range, the CCD camera acquires an image of the inner wall of the elevator shaft. Based on the scale line value information D in the image, the position of the elevator car is determined. Combined with the elevator running direction, the position of the floor arrival sensor closest to the direction of movement at the elevator car exit is determined. The distance L1 between the motor car and the floor arrival sensor in the nearest direction is obtained through the scale value information D. The arrival prediction time t of the elevator car reaching the floor arrival sensor is calculated through the floor arrival time prediction formula, where the floor arrival time prediction formula is: t = L1 / v. The arrival time prediction time is transmitted to the action module. The action command output unit in the action module causes the limit switch to output on / off command to the elevator operation control system according to the elevator arrival prediction time, so that the elevator car stops moving in time when it reaches the corresponding floor arrival sensor. At the same time, the action command output unit outputs an explosion-proof warning.

[0084] Where v is the elevator car speed;

[0085] The result calculation unit in the second prediction submodule receives the data signal from the second relation matrix in the signal processing and statistical module, and determines whether L is within the distance prediction range (L2, L3+L2) set by the prediction module. If it is within the range, the time required for the elevator car to travel from the measured position to the limit switch is calculated using the top-to-bottom prediction time calculation formula, and denoted as the prediction time T. The top-to-bottom prediction time calculation formula is as follows:

[0086] L-L2=V*t1;

[0087] L2 = v*t2 - 1 / 2at22;

[0088] T = t1 + t2;

[0089] Where L is the distance from the top or bottom of the elevator car to the upper or lower limit switch detected by the distance sensor, L3 is the distance used for uniform speed movement when the elevator car approaches the limit switch, L2 is the upward forced distance or downward forced distance before the top or bottom of the elevator car contacts the upper or lower limit switch, that is, the distance used for deceleration movement before the top or bottom of the elevator car contacts the upper or lower limit switch, t1 is the time required to pass through the uniform speed running section, t2 is the time required to pass through the deceleration running section, the response result output unit transmits the predicted time T to the action module, and sets the time point for the limit switch to send control commands to the elevator operation control system according to the predicted time, so that the elevator stops in time and avoids the elevator car from overshooting and undershooting.

[0090] The action module includes a prediction result receiving unit and an action command output unit. The prediction result receiving unit is used to receive the elevator arrival prediction time output by the response result output unit in the prediction module. The action command output unit causes the limit switch to output an on / off command to the elevator operation control system according to the elevator arrival prediction time.

[0091] Furthermore, for different subsystems, the prediction module calculates the floor arrival time and the top-to-bottom-out time respectively. Based on the prediction time, the time point for the limit switch to send the on / off control command to the elevator operation control system is set, so that the elevator stops in time when encountering dangerous situations. This gives the limit switch a prediction function, improves the response sensitivity of the limit switch, and provides better explosion-proof and top-to-bottom-out prevention functions.

[0092] Working principle: Multiple sensors detect the sensing signals during the elevator car's operation. The signal receiving unit integrates and converts these signals. The integrated signals are then amplified, filtered, and weighted by the signal processing unit to generate data signals. These data signals form a relational matrix, which is used to determine the correlation between the data signals and the subsystem affiliation. When the elevator car is in operation and has not reached the top or bottom travel range, if P > P... MAX The CCD camera captures images inside the elevator shaft. Combined with the elevator car's direction of travel and scale line values ​​(D), it determines the nearest floor's position relative to the sensor and the elevator's distance from the floor sensor. Using a floor arrival time prediction formula, it calculates the predicted time for the elevator car to reach the nearest floor. The action module then sends a control command to the elevator operation control system via a limit switch based on the predicted time. When P∈(0, P... MAX When the elevator car is running normally, when the elevator car is close to the top or bottom of the elevator shaft, the distance sensor detects the distance L between the elevator car and the limit switch body. When L∈(L2, L3+L2), the predicted time to reach the limit switch body is calculated by the formula for predicting the top and bottom. The action module sends a control command to the elevator operation control system through the limit switch according to the predicted time.

[0093] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the invention can be implemented in other specific forms without departing from its spirit or essential characteristics. Therefore, the embodiments should be considered in all respects as exemplary and non-limiting, and the scope of the invention is defined by the appended claims rather than the foregoing description. Thus, all variations falling within the meaning and scope of equivalents of the claims are intended to be included within the present invention. No reference numerals in the claims should be construed as limiting the scope of the claims.

Claims

1. A novel explosion-proof elevator limit switch, characterized in that: It includes a limit switch body (1) and an intelligent predictive control system (2). The outer wall of the limit switch body (1) is provided with the intelligent predictive control system (2). The intelligent predictive control system (2) includes an explosion-proof positioning subsystem and an anti-top-squat-bottom subsystem. The intelligent predictive control system (2) also includes a multi-channel signal acquisition module, a signal processing and distribution module, a prediction module and an action module. The multi-channel signal acquisition module is used to acquire sensor detection data. The signal processing and distribution module is used to preprocess and fuse the sensor detection data and transmit the processed detection data to the corresponding subsystem. The prediction module performs prediction calculations on the detection data in the subsystem and outputs the prediction results. The action module is used to make the limit switch quickly output action commands based on the prediction results. The signal processing and distribution module is electrically connected to the multi-channel signal acquisition module, the explosion-proof positioning subsystem, and the anti-collision and anti-bottoming subsystem; the prediction module is electrically connected to the action module, the explosion-proof positioning subsystem, and the anti-collision and anti-bottoming subsystem. The signal processing and distribution module includes a signal preprocessing unit and a signal distribution unit. The signal preprocessing unit is used to preprocess the analog signal and includes a signal amplification subunit, a filtering subunit, a weighting subunit, and a data signal generation subunit. The signal amplification subunit is equipped with a sensor signal amplification circuit, which is used to amplify the small signals in the analog signal. The input terminal of the sensor signal amplification circuit is connected to the output terminal of the signal receiving unit, and the output terminal of the sensor amplification circuit is connected to the input terminal of the filtering subunit. The amplified analog signal is filtered and noise-reduced by the filtering algorithm in the filtering processing subunit to obtain a clean analog pulse signal. The clean analog pulse signal is then weighted and averaged by the weighted averaging algorithm in the weighted processing subunit to balance the multiple sets of sensor detection signals. The data signal generation unit extracts the effective feature segments of the analog pulse signal and modulates the feature segments into a digital signal through PCM. The data signal is transmitted to the signal analysis unit, and a data system relationship matrix is ​​constructed using multiple sets of data signals as elements to analyze the sensor detection signal. The correlation coefficient of the relationship matrix is ​​calculated, and the data signal is analyzed. The data system relation matrix is ​​as follows: First relation matrix: v1 a1 l1 p1 n1 v2 a2 l2 p2 n2 V3 a3 l3 p3 n3 Second relation matrix: v1 a1 l1 v2 a2 l2 V3 a3 l3 The correlation coefficient R1 of the first relation matrix and the correlation coefficient R2 of the second matrix are calculated using the Pearson correlation coefficient algorithm, where R1>0 and R2>0. The horizontal coordinates of the first relation matrix are V, A, L, P, and N, respectively, and the horizontal coordinates of the second relation matrix are V, A, and L, respectively. The vertical coordinates of the first and second relation matrices are the eigenvectors corresponding to the horizontal coordinates, where V represents the speed sensor sensing data, A represents the acceleration sensor sensing data, L represents the distance sensor sensing data, P represents the combustible gas sensor sensing data, and N represents the position sensor sensing data. R1>0 indicates that V, A, L, P, N are related and are the sensor detection data required by the explosion-proof positioning subsystem; R2>0 indicates that V, A, L are related and are the sensor detection data required by the anti-overhead and anti-bottoming subsystem. The prediction module includes a first prediction submodule and a second prediction submodule, and the first prediction submodule and the second prediction submodule respectively include a result calculation unit and a response result output unit; The result calculation unit in the first prediction submodule receives the data signal in the first relation matrix in the signal processing and statistical module, and determines whether P exceeds the set combustible gas concentration range (0, PMAX). When P exceeds the combustible gas concentration range, the CCD camera collects the inner wall image of the elevator shaft (3). Based on the scale line value information D in the image, it determines the position of the elevator car (5). Combined with the elevator running direction, it determines the position of the floor arrival sensor closest to the direction of movement at the exit of the elevator car (5). Through the scale value information D, it obtains the distance L1 between the motor car and the floor arrival sensor in the nearest direction. Through the floor arrival time prediction formula, it calculates the arrival prediction time t of the elevator car (5) to the floor arrival sensor. The floor arrival time prediction formula is: t=L1 / v. The arrival time prediction time is transmitted to the action module. Where v is the speed of the elevator car (5).

2. The novel explosion-proof elevator limit switch according to claim 1, characterized in that: The limit switch body (1) is installed on the inner wall of the elevator shaft (3), and there are two limit switches installed, located near the top and bottom of the elevator shaft (3), respectively, called the upper limit switch and the lower limit switch. An elevator car (5) that can move up and down is installed in the elevator shaft. An elevator operation control system (4) is installed on the top of the elevator shaft (3), and the elevator control operation system is electrically connected to the limit switch body (1).

3. The novel explosion-proof elevator limit switch according to claim 2, characterized in that: The multi-channel signal acquisition module includes a signal acquisition unit and a signal receiving unit. The signal acquisition unit includes a distance sensor, a combustible gas sensor, a floor positioning sensor, a CCD camera, a speed sensor, and an acceleration sensor. The distance sensor and the acceleration sensor are installed at the bottom of the upper limit switch body (1) and the top of the lower limit switch body (1), respectively, to detect the distance from the elevator car (5) to the upper and lower limit switch bodies (1) and the overall running acceleration of the elevator car. The combustible gas sensor and the speed sensor are installed on the inner wall of the elevator car, respectively, to detect the concentration of combustible gas inside the elevator car (5) and the running speed of the elevator car. The CCD camera is installed on the outer wall of the elevator car (5) to collect the position information of the elevator car (5). The floor arrival sensor is installed on the inner wall of the elevator shaft (3) and is located between the upper and lower limit switch bodies (1). The floor arrival sensor is aligned with the floor elevator entrance and is used to detect whether the elevator car has reached the corresponding floor. The inner wall of the elevator shaft (3) is provided with scale lines, and the scale lines are located between the adjacent floor arrival sensors. The signal receiving unit is electrically connected to the signal detection unit. The signal receiving unit is used to receive detection signals from different sensors, convert the sensor signals into analog signals via analog-to-digital conversion, and transmit the analog signals to the signal processing and analysis module.

4. A novel explosion-proof elevator limit switch according to claim 3, characterized in that: The result calculation unit in the second prediction submodule receives the data signal from the second relation matrix in the signal processing and statistical module, and determines whether L is within the distance prediction range (L2, L3+L2) set by the prediction module. If it is within the range, the time required for the elevator car (5) to travel from the measured position to the limit switch is calculated using the top-to-bottom prediction time calculation formula, and is recorded as the prediction time T. The top-to-bottom prediction time calculation formula is as follows: L-L2=V*t1; L2 = v * t2 - 1 / 2 at2 2 ; T = t1 + t2; Where L is the distance from the top or bottom of the elevator car to the upper or lower limit switch detected by the distance sensor, L3 is the distance used for uniform motion when the elevator car approaches the limit switch, L2 is the upward or downward forced distance before the top or bottom of the elevator car contacts the upper or lower limit switch, that is, the distance used for deceleration before the top or bottom of the elevator car contacts the upper or lower limit switch, t1 is the time required to pass through the uniform motion section, t2 is the time required to pass through the deceleration motion section, and the response result output unit transmits the predicted time T to the action module.

5. A novel explosion-proof elevator limit switch according to claim 4, characterized in that: The action module includes a prediction result receiving unit and an action command output unit. The prediction result receiving unit is used to receive the elevator arrival prediction time output by the response result output unit in the prediction module. The action command output unit causes the limit switch to output an on / off command to the elevator operation control system (4) according to the elevator arrival prediction time.

6. A novel explosion-proof elevator limit switch according to claim 5, characterized in that: The filtering algorithms include one or more of wavelet denoising, adaptive filtering, low-pass filtering, high-pass filtering, and band-pass filtering.

7. A novel explosion-proof method for an explosion-proof elevator limit switch, applicable to the novel explosion-proof elevator limit switch described in any one of claims 1-6, characterized in that, The explosion-proof method of this new type of explosion-proof elevator limit switch is as follows: S1. The sensor detection signals of the elevator car (5) under the operating state are detected by multiple sensors, and the sensor detection signals are integrated and converted by the signal receiving unit. S2. The integrated sensor detection signal is amplified, filtered, and weighted by the signal processing unit to generate a data signal. The data signals form a relation matrix to determine the correlation between the data signals and the subsystem affiliation. S3. When the elevator car (5) is in operation and has not reached the top and bottom range, if P>PMAX, the CCD camera collects images in the elevator shaft (3), and combines the elevator car (5) running direction and scale line value information D to determine the nearest floor to the sensor position and the distance of the elevator from the floor to the sensor. The predicted time for the elevator car (5) to reach the nearest floor is calculated by the floor arrival time prediction formula. The action module sends control commands to the elevator operation control system (4) through the limit switch according to the predicted time. S4. When P∈(0, PMAX), the elevator car (5) operates normally. When the elevator car (5) runs close to the top or bottom of the elevator shaft (3), the distance sensor detects the distance L between the elevator car (5) and the limit switch body (1). When L∈(L2, L3+L2), the predicted time to reach the limit switch body (1) is calculated by the formula for predicting the top and bottom. The action module sends a control command to the elevator operation control system (4) through the limit switch according to the predicted time.

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