A laser-based rotary kiln wheel belt deflection measurement method and system

Abstract

The application discloses a kind of rotary kiln wheel belt deflection measurement method and system based on laser, belongs to rotary kiln wheel detection technical field;The present application is deployed in the parameter acquisition of laser measuring equipment around rotary kiln wheel belt, the parameters collected are compared with pre-stored threshold to generate wheel belt abnormal state signal and sustainable accessory signal and sent to S2 and S3 step;The present application can predict the trend of wheel belt deflection in advance through the linkage analysis of hydraulic wheel stop working pressure discrete rate floating curve and multiple signals, and trigger the preset scheme of load regulation, accessory replacement, etc. according to the characteristics;Effectively avoid the failure of roller shaft wear, kiln body center line deviation and other failures caused by wheel belt deflection overrun, reduce unplanned downtime, improve equipment stability, significantly reduce equipment maintenance cost and production energy consumption, and ensure long-term efficient operation of rotary kiln.

Description

TECHNICAL FIELD

[0001] The application relates to a rotary kiln wheel detection technology field, in particular to a rotary kiln wheel belt deflection measurement method and system based on laser. BACKGROUND

[0002] In the operation and maintenance of the rotary kiln equipment, the wheel belt deflection measurement is a key link for guaranteeing the stable operation of the equipment, and the deflection state of the rotary kiln wheel belt directly affects the operation stability, energy consumption level and service life of the equipment, if the wheel belt deflection exceeds the normal range, the supporting wheel shaft may be abraded, the kiln body center line may be deviated, and even the equipment failure may be caused, thereby affecting the production efficiency and increasing the maintenance cost.

[0003] The traditional deflection measurement method mainly adopts a contact type measurement means, such as a depth gauge and the like, the method needs the measurement personnel to be close to the high-temperature environment of the high-speed rotating equipment, which not only poses a serious challenge to the personal safety of the operators, but also causes the measurement equipment to have precision deviation due to the high-temperature working condition, and it is difficult to guarantee the reliability of the data, in addition, the contact type measurement mode is greatly affected by the human operation, and the measurement efficiency is low, and the method cannot meet the demand for real-time monitoring of the equipment in the industrial production, and the present application provides a solution to the above technical defects. SUMMARY

[0004] The purpose of the present application is to provide a rotary kiln wheel belt deflection measurement method and system based on laser, to solve the problems.

[0005] To achieve the above purpose, the present application provides the following technical scheme: a rotary kiln wheel belt deflection measurement method based on laser, comprising the following steps:

[0006] S1: the laser measurement equipment arranged around the rotary kiln wheel belt collects parameters, compares the collected parameters with the pre-stored threshold value, generates a wheel belt abnormal state signal and a sustainable accessory signal, and sends the signals to S2 and S3 steps;

[0007] S2: after receiving the generated signals, a plurality of groups of old environment parameters and new environment parameters are called to construct a rectangular coordinate system, and the corresponding fluctuation curve and span value are intercepted to perform proportion analysis with the corresponding threshold value, a wheel belt normal wear signal and a wheel belt abnormal wear signal are generated and sent to S3 step;

[0008] S3: a plurality of hydraulic wheel stop working pressure discrete rates and normal operation efficiency are obtained to construct a floating curve, and the plurality of groups of signals are received to perform linkage analysis and processing, which are used for rotary kiln wheel belt deflection prediction and control processing.

[0009] Further, the running rotary kiln belt is obtained, the running time from the starting time of the rotary kiln belt to the present time is marked as a supervision period, the supervision period is equally divided to form period nodes, and the belt rotation apparent parameters are substituted into the corresponding period nodes; the belt rotation apparent parameters include the current data of the belt width and the current data of the accessories;

[0010] The pre-stored new belt loading set threshold, accessory loading threshold, and the current data of the belt width and the current data of the accessories are compared: if the current data of the belt width is within the fluctuation range of the new belt loading set threshold, and the current data of the accessories is within the accessory loading threshold range, no signal is generated; if the current data of the belt width is not within the fluctuation range of the new belt loading set threshold, and the current data of the accessories is not within the accessory loading threshold range, a belt abnormal state signal is generated.

[0011] Further, the analysis data for generating the belt abnormal state signal and the accessory loading threshold for comparison are retrieved, and the latest accessory operation and maintenance record is intercepted from the supervision period The accessory loading threshold and the accessory operation and maintenance record are normalized to eliminate dimensional differences and obtain a plurality of type standard values, the difference between the maximum and minimum values of the plurality of type standard values is marked as a fault tolerance coefficient, and the standard mean value is obtained by dividing the sum of the plurality of type standard values by the number of the plurality of type standard values: if the current data of the accessories in the belt abnormal state signal is close to the standard mean value and within the ± fault tolerance coefficient range, a sustainable accessory signal is generated; if the current data of the accessories in the belt abnormal state signal is far away from the standard mean value and exceeds the ± fault tolerance coefficient range, an operation and maintenance instruction signal is generated.

[0012] Further, the new environment parameters around the rotary kiln belt within the present period node and the old environment parameters of several groups in the reverse direction are obtained, the period node is used to construct the X-axis, and the temperature increasing order is used to construct the Y-axis to construct a rectangular coordinate system, the fluctuation curves of the several groups of old environment parameters and the new environment parameters are drawn by the dot connecting line method, the length of the adjacent fluctuation curves is recorded and marked as a span value, the pre-stored rotary kiln belt running temperature control interval threshold range is retrieved and drawn on the rectangular coordinate system, and the parts exceeding the upper limit of the temperature control curve threshold are sequentially marked as several old high temperature points and new high temperature points The parts lower than the lower limit of the temperature control curve threshold are sequentially marked as several old low temperature points and new low temperature points .

[0013] Further, the pre-set high temperature proportion threshold, the pre-set low temperature proportion threshold, and the pre-set span threshold are retrieved, and the number of the several old high temperature points , the new high temperature points The total number of new high temperature points and new low temperature points is analyzed: when the total number of new high temperature points is less than the preset high temperature proportion threshold in the total number of several old high temperature points , the total number of new low temperature points is less than the preset low temperature proportion threshold in the total number of several old low temperature points , and the span value of the new environment parameter is less than the preset span threshold, a regular wear signal of the tire belt is generated.

[0014] When the total number of new high temperature points is greater than the preset high temperature proportion threshold in the total number of several old high temperature points , the total number of new low temperature points is greater than the preset low temperature proportion threshold in the total number of several old low temperature points , and the span value of the new environment parameter is greater than the preset span threshold, an abnormal wear signal of the tire belt is generated.

[0015] Further, the hydraulic stop wheel working pressure dispersion rate in the several cycle nodes is obtained by backtracking to the current time, the trend fluctuation curve of the hydraulic stop wheel working pressure dispersion rate is drawn with the cycle node as the horizontal axis and the pre-stored rotary kiln wheel device in the latest state under the regular load running efficiency as the vertical axis, and the future rotary kiln tire belt deviation trend is predicted in combination with whether the cycle node generates an abnormal state signal, an operation and maintenance instruction signal or a tire belt abnormal wear signal at the current time.

[0016] A rotary kiln tire belt deviation measurement system based on laser, comprising the following steps:

[0017] A real-time monitoring module constructs a cycle node according to the time process, and compares and processes the threshold and the cycle node parameter;

[0018] A tire belt data deviation analysis module re-fetches the rotary kiln tire belt surrounding environment parameter for curve fluctuation analysis according to the signal generated by the real-time monitoring module, and processes the proportion of the analysis result and the corresponding threshold;

[0019] A prediction evaluation module collects the change of the hydraulic stop wheel working pressure dispersion rate in the several cycle nodes of the rotary kiln furnace device, which is used to combine multiple groups of signals to jointly adjust the future rotary kiln running state.

[0020] The beneficial effects of the present application are:

[0021] The present application is realized by using a laser measuring device to realize non-contact parameter acquisition, without personnel close contact with high-temperature and high-speed rotating rotary kiln belt, which fundamentally avoids the safety risks such as scalding and mechanical injury caused by traditional contact measurement; the laser measurement avoids the thermal deformation of the equipment caused by contact with high temperature, and combines the pre-stored threshold comparison and periodic node data marking, effectively reduces the precision deviation caused by environmental interference, greatly improves the reliability of the data such as the width of the belt and the state of the accessories, and provides high-precision basic data for subsequent analysis.

[0022] The present application is realized by real-time monitoring module, wheel belt data deviation analysis module and prediction evaluation module, which realizes parameter acquisition, threshold comparison, signal generation and curve fluctuation analysis, compared with the traditional way of relying on manual reading and calculation, the data processing efficiency is improved, and through the preset scheme linkage trigger mechanism, the dependence on the experience of the operator is greatly reduced, the adjustment failure caused by human error is reduced, and the standardization and efficiency of the wheel belt deviation analysis are realized. BRIEF DESCRIPTION OF DRAWINGS

[0023] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed to be used in the embodiments or prior art description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0024] Figure 1 The system flow chart of the present application is shown in the figure.

[0025] Figure 2 The system data comparison diagram of the present application is shown in the figure.

[0026] Figure 3 The rotary kiln overhead structure diagram of the present application is shown in the figure.

[0027] Figure 4 The laser measuring device data acquisition diagram of the present application is shown in the figure. DETAILED DESCRIPTION

[0028] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only some embodiments of the present application, not all. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0029] Embodiment one: please refer to Figure 1 - Figure 4As shown, the embodiment is a kind of rotary kiln wheel belt deflection measurement method and system based on laser, including the following steps:

[0030] S1: the parameter collection of laser measuring equipment deployed around the rotary kiln wheel belt, the laser measuring equipment can be measured remotely and non-contact by computer Bluetooth or network wireless connection control according to field practice, combined with optical measurement and control components, not only greatly improves the safety of measurement, so that the measurement personnel do not need to approach the high-temperature and dangerous rotary kiln equipment, reduces the potential safety risk, and due to the non-contact measurement characteristics, the precision deviation that the equipment may generate due to contact with high temperature is avoided, the collected parameters are compared with the pre-stored threshold to generate wheel belt abnormal state signal and sustainable accessory signal and sent to S2 and S3 steps;The real-time monitoring module continuously monitors the collected data of the rotary kiln wheel belt in use as follows:

[0031] S11: obtain the belt rotation visible parameters of the rotary kiln wheel belt during operation, the belt rotation visible parameters are represented as the parameters that can be detected during the operation of the rotary kiln wheel belt body, mark the running time from the starting time of the rotary kiln wheel belt operation to the present time as the supervision period, divide the supervision period into several groups of period nodes, and substitute the belt rotation visible parameters into the corresponding period nodes, so as to mark the collected data with time for subsequent retrieval and identification;The belt rotation visible parameters include wheel belt width status data and accessory status data, the wheel belt width status data can be represented as the overhead transverse dimension and side view width and height dimension of the rotary kiln wheel belt in operation measured by the laser measuring equipment, such as Figure 4 As shown, the accessory status data can be represented as kiln cylinder, transmission synchronous wheel belt, supporting roller and other accessories, which are used to connect and drive the rotary kiln wheel belt and the rotary kiln body;

[0032] S12: compare the pre-stored new wheel belt loading set threshold and accessory loading threshold with the wheel belt width status data and accessory status data, it should be noted that the new wheel belt loading set threshold can be represented as the relevant numerical values on the factory label of the new and undamaged wheel belt replaced during the assembly or maintenance of the rotary kiln, and the accessory loading threshold represents the gear, wear and surface state data record after the assembly or maintenance of the rotary kiln;

[0033] S13: if the wheel belt width status data is within the fluctuation range of the new wheel belt loading set threshold, and the accessory status data is within the accessory loading threshold range, no signal is generated, which means that the wheel belt data collected in the compared period node meets the predetermined range, so it does not need to be adjusted, and it can still maintain the present situation and continue to run stably;

[0034] S14: If the belt width current data is not located in the fluctuation range of the new belt loading set threshold value, and the accessory current data is not located in the accessory loading threshold value range, a belt abnormal state signal is generated. When the real-time monitoring module receives the belt abnormal state signal, it immediately triggers the pre-stored adjustment scheme 001. Scheme 001 or other numbered schemes are constructed based on historical records of similar faults and maintenance and adjustment in previous operation supervision cycles, combined with regular maintenance and adjustment plans for the area with belt width and accessory abnormalities. The real-time monitoring module analyzes the belt abnormal state signal data to determine which type of belt width or accessory is abnormal. According to this, the relevant processing steps recorded in scheme 001 are matched, the regular processing of steps that do not exist is simplified, the abnormality is accurately located and processed faster and more efficiently, and the overall processing efficiency is greatly improved.

[0035] S15: Retrieve the analysis data of the generated belt abnormal state signal and the accessory loading threshold value for comparison processing from the latest accessory operation and maintenance records in the supervision cycle , accessory operation and maintenance records representing the existence of rotary kiln related to the belt and the related accessories in this supervision cycle. Among them, i represents a natural number greater than zero. The accessory loading threshold value and the same type of data in the accessory operation and maintenance records are normalized to eliminate dimensional differences and obtain several types of standard values. The difference between the maximum and minimum values of the several types of standard values is marked as a fault tolerance coefficient. The standard mean value is obtained by dividing the sum of the several types of standard values by the number of the several types of standard values.

[0036] S16: If the accessory current data in the belt abnormal state signal is close to the standard mean value and within the ± fault tolerance coefficient range, a sustainable accessory signal is generated. When the real-time monitoring module receives the sustainable accessory signal, it immediately generates "rotary kiln serial number # 931 / belt abnormality / accessory detection normal / belt depth detection" style text information and sends it to the intelligent device of the on-duty supervisor for prompt display, to help the on-duty supervisor quickly locate the abnormal area of the rotary kiln belt operation. Among them, the sustainable accessory signal represents that the related accessories for matching the belt are normal, and the belt abnormal state signal represents that the belt body has an abnormality. It should be noted that the rotary kiln serial number # 931 represents the rotary kiln with a serial number of 931 marked in the factory area.

[0037] S17: If the accessory status data in the belt abnormal state signal deviates from the standard mean value and exceeds the ± tolerance coefficient range, an operation and maintenance instruction signal is generated. When the real-time monitoring module receives the operation and maintenance instruction signal, it immediately generates "rotary kiln serial number #931 / belt abnormality / accessory abnormality / accessory depth detection" style text information and accessory status data and sends them to the intelligent device of the on-duty supervisor, which is used to directly indicate that the "belt abnormal state signal" is caused by an accessory, and trigger the pre-stored scheme 002. Scheme 002 contains examples of obvious manifestations of accessory abnormalities. The supervisor's intelligent device retrieves the accessory status data and compares it with the examples in scheme 002. The examples that have differences are marked with part of the data in the accessory status data, which facilitates the supervisor and accompanying maintenance personnel to quickly handle the different accessories. Embodiment two

[0038] S2: After receiving the generated signal, several groups of old and new environment parameters are retrieved to construct a rectangular coordinate system, and the corresponding fluctuation curve and span value are intercepted to analyze the proportion with the corresponding threshold value. The belt regular wear signal and the belt abnormal wear signal are generated and sent to the S3 step. The joint analysis process of the belt data runout analysis module after receiving the belt abnormal state signal and the sustainable accessory signal is as follows:

[0039] S21: Obtain the new environment parameters around the rotary kiln belt and several groups of old environment parameters that are inversely calculated from the past, with the period node where the new environment parameters are constructed as the starting point, and the representative parameters of different parameters in each historical period node are normalized and averaged to obtain a balanced representative parameter in the same period node. The period node is used to construct the X axis, and the temperature increasing order is used to construct the Y axis to construct a rectangular coordinate system, as shown in Figure 2 It should be noted that ○ represents the new environment parameter, △ represents the representative parameter of the old environment parameter, and □ represents the temperature control interval threshold range;

[0040] S22: Draw the fluctuation curve of several groups of old and new environment parameters by drawing points and connecting lines. Record the length of the adjacent fluctuation curve as the span value. The span value represents the fluctuation difference of the environment parameters in adjacent period nodes. The greater the difference, the more abnormal the rotary kiln is during operation, resulting in a large difference in temperature in the detection area. This not only causes a sudden change in temperature difference in the belt environment, but also causes the belt to melt or the material to become brittle under the condition of sudden temperature change, thereby causing belt use abnormalities and causing runout and other phenomena. Retrieve the pre-stored rotary kiln belt running temperature control interval threshold range and draw it on the rectangular coordinate system. Mark the parts that exceed the upper limit of the temperature control curve threshold as several old high temperature points and new high temperature points The part below the lower limit of the temperature control curve threshold is marked as a number of old low temperature points in turn and new low temperature points .

[0041] S231: retrieve the pre-stored preset high temperature proportion threshold, preset low temperature proportion threshold and preset span threshold, and count the total number of a number of old high temperature points , new high temperature points , a number of old low temperature points and new low temperature points for comprehensive comparison and analysis

[0042] S232: when the total number of new high temperature points is less than the preset high temperature proportion threshold in the total number of a number of old high temperature points , the total number of new low temperature points is less than the preset low temperature proportion threshold in the total number of a number of old low temperature points , and the span value of the new environment parameter is less than the preset span threshold, a regular wear signal of the tire belt is generated. It should be noted that the regular wear signal of the tire belt indicates that the tire belt wear is not caused by the change of the ambient temperature around the operation environment, but the tire belt body meets the regular wear range during the load operation on the rotary kiln. When the regular wear signal of the tire belt is sent to the real-time monitoring module, the scheme 003 is triggered. The maintenance replacement instruction is pre-stored in the scheme 003. The related data of the tire belt regular wear signal are sent to the intelligent device of the on-duty supervisor, so that the supervisor can quickly forward the maintenance replacement instruction and the related data to the maintenance personnel, replace the suitable tire belt, and match and adjust the replaced tire belt and other groups of tire belts according to the related data

[0043] S233: when the total number of new high temperature points is greater than the preset high temperature proportion threshold in the total number of a number of old high temperature points , the total number of new low temperature points is greater than the preset low temperature proportion threshold in the total number of a number of old low temperature points greater than a preset low-temperature proportion threshold, and the span value of the new environment parameter is greater than a preset span threshold, a tire belt abnormal wear signal is generated; it should be noted that the group of tire belts is caused by the change of the ambient temperature difference around the tire belts, resulting in unstable use load environment, so that the running environment of the tire belts on the rotary kiln is far below the standard environment, thereby causing the tire belt to deviate, after the real-time monitoring module receives the tire belt abnormal wear signal, immediately marks the related data of the tire belt abnormal wear signal, generates the "rotary kiln serial number # 931 / tire belt abnormal / loop difference abnormal / kiln body load adjustment / tire belt replacement / related data" style text information and triggers scheme 004, and sends the generated text and scheme 004 to the intelligent devices of the on-duty supervisors, the related data is represented as the comparison data of the generated tire belt abnormal wear signal, so that the rotary kiln equipment operation and maintenance personnel / supervisors can process according to the related data and the matched examples in scheme 004, complete the deviation supervision, real-time dynamic adjustment and maintenance of the rotary kiln tire belts. Embodiment three

[0044] S3: Obtain the hydraulic wheel stop working pressure dispersion rate of several groups and the conventional running efficiency to build a floating curve, and combine the received multiple groups of signal linkage analysis processing, which is used for rotary kiln tire belt deviation prediction and control processing, the conventional running efficiency represents the efficiency data of the rotary kiln tire under conventional state continuous running, and the prediction evaluation module in the process of predicting the rotary kiln tire belt deviation is as follows:

[0045] S31: Obtain the hydraulic wheel stop working pressure dispersion rate in several cycle nodes by backtracking to the present time , the hydraulic wheel stop working pressure dispersion rate is represented as the proportion of the actual working pressure of the hydraulic wheel stop to the standard working pressure in several cycle nodes, wherein the standard working pressure is the pressure size of the hydraulic wheel stop under the rated power working, and the cycle node is taken as the horizontal axis, and the pre-stored data of the rotary kiln tire equipment under the latest state is taken as the vertical axis, which is the data of the rotary kiln under the initial assembly, under the conventional load running condition, the efficiency of generating processing products, and the hydraulic wheel stop working pressure dispersion rate is plotted in turn to draw the trend floating curve, and whether the tire belt abnormal state signal, operation and maintenance instruction signal or tire belt abnormal wear signal is generated in the cycle node of the present time is combined to predict the future rotary kiln tire belt deviation trend;

[0046] S32: When there is a wheel belt abnormal state signal, an operation and maintenance instruction signal or a wheel belt abnormal wear signal in the period node of the time up to now, it is judged that the rotary kiln wheel has adjustment, maintenance and other changes in the future, and thus there is uncertainty in the operation of the rotary kiln and the replaced wheel belt in the future. Therefore, it is judged that the group "rotary kiln serial number #931" needs to be adjusted in the future. According to this, the load of the adjacent rotary kiln is adjusted in advance to ensure the processing efficiency.

[0047] S33: When there is no wheel belt abnormal state signal, operation and maintenance instruction signal or wheel belt abnormal wear signal in the period node of the time up to now, it is indicated that the group "rotary kiln serial number #931" can continue normal operation load and complete the processing efficiency, without the need for advance change and adjustment.

[0048] In combination with example one, example two and example three, the hydraulic wheel blocking working pressure dispersion rate The linkage analysis of the floating curve and multiple signals can predict the wheel belt deviation trend in advance, and trigger the preset scheme of load regulation, part replacement, etc. in a targeted manner. The faults caused by wheel belt deviation overrun, such as roller shaft wear and kiln body center line deviation, are effectively avoided, the non-scheduled downtime is reduced, the equipment stability is improved, the equipment maintenance cost and production energy consumption are significantly reduced, and the long-term efficient operation of the rotary kiln is ensured.

[0049] The above content is only an example and description of the structure of the present application. Those skilled in the art can make various modifications or supplements to the described specific embodiments or use similar ways to replace them, as long as they do not deviate from the structure of the application or exceed the scope defined by the claims.

[0050] In the description of the present application, the description of the terms "one embodiment", "example", "specific example" and the like means that the specific features, structures, materials or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present application. In the present application, the illustrative description of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0051] The preferred embodiments of the application disclosed above are only used to help explain the application. The preferred embodiments do not describe all the details and limit the application to the specific embodiments. Obviously, many modifications and changes can be made according to the content of the present application. The embodiments are selected and described in the present application in order to better explain the principles and practical applications of the present application, so that those skilled in the art can well understand and utilize the present application. The present application is limited by the claims and their entire scope and equivalents.

Claims

1. A laser-based method for measuring the runout of a rotary kiln tire, characterized in that, Includes the following steps: S1: The laser measurement equipment deployed around the rotary kiln tire collects parameters, compares the collected parameters with the pre-stored thresholds to generate tire abnormality signals and sustainable component signals, and sends them to steps S2 and S3. S2: After receiving the generated signal, retrieve several sets of old and new environmental parameters to construct a rectangular coordinate system, and extract the corresponding fluctuation curve and span value and perform proportion analysis with the corresponding threshold to generate the tire normal wear signal and the tire abnormal wear signal and send them to step S3. The system acquires new environmental parameters from the current cycle nodes around the rotary kiln tire and several sets of old environmental parameters going backwards. It constructs an X-axis using the cycle nodes and a Cartesian coordinate system using temperature increments as the Y-axis. Fluctuation curves for several sets of old and new environmental parameters are plotted by connecting points. The lengths of adjacent fluctuation curves are recorded and marked as span values. The pre-stored threshold range of the rotary kiln tire's operating temperature control interval is retrieved and simultaneously plotted on the Cartesian coordinate system. The portions exceeding the upper limit of the temperature control curve threshold are sequentially marked as several old high-temperature points. and new high temperature points The portions below the lower limit of the temperature control curve threshold are sequentially marked as several old low-temperature points. and new low temperature point ; Retrieve pre-stored preset high temperature percentage threshold, preset low temperature percentage threshold, and preset span threshold, and statistically analyze several old high temperature points. , new high temperature point Several old low temperature points and new low temperature point A comprehensive comparative analysis of the total number: when the new high temperature point The total number of [items] at several old high temperature points The proportion of the total number is less than the preset high temperature proportion threshold, new low temperature point The total number at several old low temperature points If the proportion of the total number of items is less than the preset low temperature proportion threshold, and the span value of the new environmental parameters is less than the preset span threshold, then a regular tire wear signal is generated. When the new hot spot The total number of [items] at several old high temperature points The proportion of the total number of new low temperature points is greater than the preset high temperature proportion threshold. The total number at several old low temperature points If the proportion of the total number of items is greater than the preset low temperature proportion threshold, and the span value of the new environmental parameters is greater than the preset span threshold, then an abnormal tire wear signal is generated. S3: Obtain the dispersion rate of the working pressure of several hydraulic thrusters. A floating curve is constructed based on the normal operating efficiency, and the received multiple sets of signals are analyzed and processed together for prediction and control of rotary kiln wheel belt sway.

2. The laser-based method for measuring the runout of a rotary kiln tire as described in claim 1, characterized in that, The rotation display parameters of the rotary kiln tire during operation are obtained. The operation time from the start time of the rotary kiln tire operation to the present time is marked as the monitoring cycle. The monitoring cycle is divided into equal parts to form cycle nodes. The rotation display parameters are substituted into the corresponding cycle nodes. The rotation display parameters include the current status data of the tire width and the current status data of the accessories. The system obtains and compares the pre-stored new tire loading threshold, part loading threshold, tire width status data, and part status data: if the tire width status data is within the fluctuation range of the new tire loading threshold and the part status data is within the part loading threshold range, no signal is generated; if the tire width status data is not within the fluctuation range of the new tire loading threshold and the part status data is not within the part loading threshold range, a tire abnormality signal is generated.

3. The laser-based method for measuring the sway of a rotary kiln tire according to claim 2, characterized in that, Retrieve the analysis data that generated the tire abnormality signal, as well as the component loading threshold used for comparison processing, and extract the latest component maintenance records from the regulatory cycle. The component loading threshold is linked to the component maintenance record. Data of the same type are normalized to eliminate dimensional differences and obtain several types of standard values. The difference between the maximum and minimum values ​​among the several types of standard values ​​is marked as the tolerance coefficient. The standard mean is obtained by dividing the sum of the several types of standard values ​​by the number of the several types of standard values. If the current status data of the parts in the tire abnormality signal is close to the standard mean and within the ± tolerance coefficient range, a sustainable parts signal is generated. If the current status data of the parts in the tire abnormality signal is far from the standard mean and exceeds the ± tolerance coefficient range, an operation and maintenance instruction signal is generated.

4. The laser-based method for measuring the sway of a rotary kiln tire according to claim 1, characterized in that, The dispersion rate of the hydraulic thrust roller working pressure within several period nodes is obtained by working backward from the present moment. Using the periodic nodes as the horizontal axis and retrieving pre-stored data on the rotary kiln equipment in its latest state under normal load operating efficiency as the vertical axis, the dispersion rate of the hydraulic thrust roller working pressure is plotted sequentially. The trend of the rotary kiln tire sway is predicted by analyzing the trend of the tire sway curve and combining it with whether abnormal tire condition signals, maintenance command signals or abnormal tire wear signals are generated within the cycle nodes up to the present moment.

5. A laser-based rotary kiln tire deflection measurement system, used in the laser-based rotary kiln tire deflection measurement method according to any one of claims 1-4, characterized in that, Includes the following steps: The real-time monitoring module constructs periodic nodes based on the collected parameters according to the time process, and retrieves the threshold and compares it with the periodic node parameters. The tire data sway analysis module, based on the signal generated by the real-time monitoring module, retrieves the environmental parameters around the rotary kiln tire to perform curve fluctuation analysis, and processes the analysis results with corresponding thresholds. The prediction and evaluation module collects the dispersion rate of the hydraulic thrust roller working pressure of the rotary kiln equipment within several cycle nodes. The changes are used to combine multiple sets of signals to jointly adjust the future operating status of the rotary kiln.

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