Intelligent control system for scraper

Abstract

The present invention provides an intelligent control system for a slag scraper, which relates to the field of industrial automation technology, and includes a collection end, a monitoring end, and an execution end; the monitoring end is used to perform work efficiency analysis on the working information of the slag scraper to obtain the work efficiency value of the slag scraper; the motor operation information of the slag scraper is subjected to fault analysis processing to obtain a motor detection signal group; after the motor is abnormally shut down, the motor abnormal signaling is verified and analyzed to obtain a motor actual condition signaling group; when the motor damage signaling is generated, the maintenance of the motor is analyzed for priority determination to obtain the priority corresponding to the signaling; after receiving the motor abnormal signaling, the execution end controls the motor corresponding to the motor abnormal signaling to shut down. The present invention can improve the working efficiency of the slag scraper equipment, strengthen fault management and maintenance scheduling, reduce downtime and maintenance costs, and improve the reliability and production efficiency of the equipment by means of real-time monitoring, fault analysis, and maintenance priority determination.

Description

Technical Field

[0001] The invention relates to the technical field of industrial automation, and in particular to an intelligent control system for a slag scraper. Background Art

[0002] A scraper, also known as a scraper, is a mechanical device used to clean and remove slag, dirt or solid impurities on the surface of industrial equipment. It is commonly used in industrial production processes, especially in industries such as oil refining, chemicals, steel, and electricity. The main function of a scraper is to clean the residue and dirt on the surface of the equipment to ensure the normal operation and production efficiency of the equipment. In the industrial process, some substances will accumulate on the surface of the equipment, such as sediment, coke slag, solid residue, etc. If they are not cleaned in time, it will affect the heat conduction, fluid flow, and material quality of the equipment. The scraper uses tools such as scrapers or brushes to effectively scrape or clean these impurities to keep the equipment clean and running smoothly.

[0003] The intelligent control system of the scraper is based on the development of modern industrial automation and information technology. It integrates a variety of advanced technologies and aims to improve the working efficiency, reliability and intelligence of the scraper.

[0004] During the operation of the scraper, motor failure, abnormal shutdown or false alarm may occur. If the fault cannot be detected or the false alarm cannot be eliminated in time, it will lead to extended downtime, production line interruption, equipment damage, or maintenance personnel delaying unnecessary maintenance work, affecting normal work and production. Therefore, it is necessary to provide an intelligent control system for the scraper to solve the above technical problems. Summary of the invention

[0005] The present invention provides an intelligent control system for a slag scraper, which solves the problem that motor failure, abnormal shutdown or false fault alarm may occur during the operation of the slag scraper. If the fault cannot be detected or the false fault cannot be eliminated in time, the downtime will be extended, the production line will be interrupted, the equipment will be damaged, or maintenance personnel will be delayed in unnecessary maintenance work.

[0006] In order to solve the above technical problems, the present invention provides an intelligent control system for a slag scraper, comprising a collection end, a monitoring end, and an execution end;

[0007] The collecting end is used to collect the working information and environmental information of the scraper in real time;

[0008] The monitoring end is used to perform ergonomic analysis on the working information of the scraper to obtain the ergonomic value of the scraper; perform fault analysis on the motor operation information of the scraper, obtain the motor operation information on the scraper, set a preset time zone, select the motor operation information of the motor in the preset time zone for statistical index processing, to obtain the average value, median and standard deviation corresponding to the motor parameters; perform weighted calculation on the average value, median and standard deviation corresponding to the corresponding parameters of the motor, and use the formula to obtain the operation value of the corresponding motor; wherein the statistical index processing includes the calculation processing of the average value, median and standard deviation, and the parameters in the motor operation information include the current, voltage, temperature, vibration, decibel and load of the motor; set a set normal threshold value for the motor operation value, compare the operation value with the set normal threshold value, if the operation value is not within the set normal threshold value, generate a motor abnormal signaling, if the operation value is within the set normal threshold value, generate a motor normal signaling;

[0009] After the motor stops abnormally, the abnormal signal of the motor is verified and analyzed, and the motor protection device is tested. If any of the protection devices in the motor protection device is triggered, a motor damage signal is generated; the motor protection device overload protection, overheat protection, short circuit protection; if none of the motor protection devices are triggered, the temperature information of the corresponding motor is subjected to heat dissipation analysis, and the shell temperature, rotor temperature and motor ambient temperature at multiple positions on the motor corresponding to the current moment are extracted, and the average value is calculated to obtain the shell temperature value, rotor temperature value and ambient temperature value, and the shell temperature value, rotor temperature value and ambient temperature value are weighted and calculated. Motor temperature shadow value; match the motor temperature shadow value with the gear threshold group of the motor's heat dissipation device to obtain the heat dissipation instruction of the corresponding gear, input the heat dissipation instruction of the corresponding gear into the motor's heat dissipation device, and dissipate the heat of the corresponding motor; if the motor temperature shadow value is at the preset temperature threshold, control the motor to start, set the number threshold of fault analysis and processing, and perform fault analysis and processing on the motor operation information again until the number threshold is reached. If the motor abnormal signal is generated again, the motor damage signal is generated. If the corresponding number of fault analysis and processing all generate motor normal signal, the motor actual normal signal is generated;

[0010] When generating the motor damage signal, the motor maintenance is analyzed for priority to obtain the corresponding priority of the signal;

[0011] After receiving the motor abnormality signaling, the execution end controls the motor corresponding to the motor abnormality signaling to shut down; after receiving the motor damage signaling, the corresponding functional motor damage signaling and the corresponding priority of the signaling, the motor position and number are sent to the maintenance personnel's smart terminal; after the maintenance personnel receive the corresponding functional motor damage signaling and the corresponding priority of the signaling, the motor position and number through the smart terminal, they maintain the corresponding motor, mark the maintenance process as a maintenance record, and mark the work information corresponding to the motor damage signaling and the corresponding priority of the signaling as fault history information.

[0012] As a preferred implementation mode of the present invention, the monitoring terminal includes an efficiency analysis module;

[0013] The efficiency analysis module is used to perform work efficiency analysis on the working information of the scraper, obtain the initial position of the scraper knife during operation, calculate the distance difference between the actual position of the scraper knife and the initial position to obtain the moving distance; extract the moving distance and required time of the scraper knife and calculate the moving speed of the scraper knife;

[0014] The time required for the scraper to complete a working cycle is recorded as the working speed, wherein the working cycle includes the movement of the scraper blade, the removal and transportation of materials and other operating steps;

[0015] The volume of the material cleaned by the scraper in one working cycle is obtained, and the cleaned material is weighed when it is transported to obtain its weight; the volume and weight of the material cleaned by the scraper for several times are calculated to obtain the cleaning value of the cleaned material;

[0016] The working speed, moving speed and cleaning value of the scraper are weighted to obtain the ergonomic value of the scraper.

[0017] As a preferred implementation mode of the present invention, the monitoring end includes an efficiency decay analysis module;

[0018] The efficiency decay module is used to obtain the work efficiency value in the historical operation information of the scraper for decay analysis, obtain the maintenance time of the scraper closest to the current time, and mark the time as the first time; if there is no maintenance time, mark the factory time of the scraper as the first time; calculate the time difference between the first time and the current time to obtain the unmaintained time; set the maintenance time threshold of the scraper, calculate the time difference between the maintenance market threshold and the unmaintained time to obtain the unmaintained difference;

[0019] The time area between the current moment and the first moment is divided into time slices according to the preset time length; all the work efficiency values ​​of the scraper time slice are obtained, and a work efficiency attenuation coordinate system is constructed. The work efficiency values ​​and the corresponding collection time are substituted into the work efficiency attenuation coordinate system, and the positions of the work efficiency values ​​in the work efficiency attenuation coordinate system are marked as work efficiency points, and the adjacent work efficiency points are connected to obtain the work efficiency line; the slope of the work efficiency line is calculated, and the slope with a positive value is marked as a positive efficiency value, and the slope with a negative value is marked as a negative efficiency value; the absolute values ​​of all positive efficiency values ​​and negative efficiency values ​​are summed up to obtain the positive efficiency sum value and the negative efficiency sum value; the negative efficiency sum value is subtracted from the positive efficiency sum value to obtain the slice attenuation value;

[0020] In the order of collection time, the attenuation value of the corresponding time zone is subtracted from the attenuation value of the next time zone to obtain the attenuation difference, and all the attenuation differences are summed up to obtain the cumulative attenuation value; the cumulative attenuation value and the unmaintained difference are weighted to obtain the work efficiency loss value of the scraper; the work efficiency loss value is matched with the value range of the preset maintenance time threshold to obtain the corresponding maintenance difference time; the maintenance difference time is calculated with the unmaintained difference value to obtain the maintenance value; when the maintenance value is less than or equal to zero, a maintenance instruction for the scraper is generated; the maintenance instruction for the scraper and the location of the scraper are sent to the maintenance personnel's smart terminal, and the maintenance personnel perform maintenance operations on the scraper after obtaining the maintenance instruction for the scraper and the location of the scraper through the smart terminal.

[0021] As a preferred implementation mode of the present invention, the execution end further includes an attenuation processing module;

[0022] Obtain the zone attenuation value of the first time zone after the maintenance operation of the scraper and mark it as the initial machine attenuation value. If there is no maintenance operation, mark the zone attenuation of the first time zone after the factory time of the scraper as the initial machine attenuation value; sort the initial machine attenuation values ​​according to the collection time, subtract the next initial machine attenuation value from the initial machine attenuation value in the order of the collection time to obtain the attenuation difference, calculate the standard deviation of the attenuation difference to obtain the attenuation fluctuation value; filter the attenuation fluctuation values, and mark the scraper work before the maintenance operation with the attenuation fluctuation value greater than the set fluctuation threshold as abnormal loss work; obtain the work tasks and related information of the abnormal loss work, and thus form a loss abnormality report.

[0023] As a preferred embodiment of the present invention, the collection terminal includes a plurality of sensors for collecting environmental information of the scraper, and the scraper equipment is equipped with a plurality of sensors for collecting working information of the scraper.

[0024] As a preferred implementation of the present invention, when generating the motor damage signaling, a priority determination analysis is performed on the maintenance of the motor, and the specific analysis is as follows:

[0025] Obtain the motor group on the scraper, match the motor damage signal with the motor group on the scraper to obtain the corresponding functional motor damage signal; the motor group on the scraper includes a stripper motor, a bucket motor, a conveyor belt motor, and a crawler motor;

[0026] Identify the operating status of the scraper, which includes the scraper state and the walking state; match and determine the corresponding functional motor damage signaling with the operating status, and when generating the motor damage signaling of any one of the stripper motor, the bucket motor, and the conveyor belt motor, if the scraper is in the walking state, a secondary priority is generated, and if the scraper is in the scraper state, a primary priority is generated; when generating the motor damage signaling corresponding to the crawler motor, if the scraper is in the walking state, a primary priority is generated, and if the scraper is in the scraper state, a secondary priority is generated; wherein, the primary priority is greater than the secondary priority, and the primary priority and the secondary priority are marked as the signaling corresponding priorities.

[0027] As a preferred implementation mode of the present invention, the monitoring terminal further includes a user interaction module;

[0028] The user interaction module can receive and display various data collected by the scraper; and can record and display the fault history information and maintenance records of the scraper equipment.

[0029] As a preferred embodiment of the present invention, the execution end further includes an auxiliary maintenance module;

[0030] When generating a motor damage signaling, the fault history information corresponding to the motor damage signaling is extracted, and the similarity calculation is performed between the fault history information and the working information corresponding to the motor damage signaling to obtain a fault similarity coefficient; a similarity threshold of the fault similarity coefficient is set, and historical motor abnormal instructions and corresponding maintenance records and fault history information greater than the similarity threshold are marked as maintenance reference information, and the maintenance reference information is sorted according to the size of the similarity coefficient to generate a maintenance reference list, which is then sent to the maintenance personnel's smart terminal.

[0031] Compared with the related art, the intelligent control system for the slag scraper provided by the present invention has the following beneficial effects:

[0032] 1. The present invention can improve the working efficiency of the scraper equipment, strengthen fault management and maintenance scheduling, reduce downtime and maintenance costs, and improve the reliability and production efficiency of the equipment by means of real-time monitoring, fault analysis and maintenance priority determination.

[0033] 2. The present invention provides support for performance evaluation, efficiency monitoring and abnormal loss identification of the scraper through the efficiency attenuation analysis module and the attenuation processing module, so as to help maintenance personnel and operators better manage and maintain the scraper and improve the working efficiency and reliability of the equipment.

[0034] 3. Through the function of the auxiliary maintenance module, the present invention enables maintenance personnel to quickly understand the historical failure conditions of the equipment, and with the help of similarity calculation and maintenance reference list, better handle current failures and maintenance work, thereby improving the efficiency and accuracy of maintenance work and reducing the impact of scraper equipment failures on production. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 This is a principle block diagram of Example 1 of the intelligent control system for a slag scraper provided by the present invention.

[0036] Figure 2 This is a principle block diagram of Example 2 of the intelligent control system for a slag scraper provided by the present invention.

[0037] Figure 3 This is a principle block diagram of Example 3 of the intelligent control system for a slag scraper provided by the present invention. DETAILED DESCRIPTION

[0038] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0039] The terms used in this disclosure are for the purpose of describing particular embodiments only and are not intended to be limiting of the disclosure.The term "and / or" used in this disclosure and the appended claims refers to and encompasses any or all possible combinations of one or more of the associated listed items.

[0040] It should be understood that the relevant information (including but not limited to equipment information, work information or environmental information, etc.) and data (including but not limited to data for display, data for analysis, etc.) involved in this disclosure are all information and data authorized by the user or fully authorized by all parties.

[0041] It should be understood that although the terms first, second, third, etc. may be used in the present disclosure to describe various information, such information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other. For example, without departing from the scope of the present disclosure, the first information may also be referred to as the second information, and similarly, the second information may also be referred to as the first information. Depending on the context, the word "if" as used herein may be interpreted as "at the time of" or "when" or "in response to determining"

[0042] Please refer to Figure 1. Intelligent control system for scraper, including collection end, monitoring end and execution end;

[0043] The collection end is used to collect the working information and environmental information of the scraper in real time;

[0044] The monitoring end is used to analyze the working information of the scraper, obtain the initial position of the scraper during operation, calculate the distance difference between the actual position of the scraper and the initial position to obtain the moving distance; extract the moving distance and required time of the scraper and calculate the moving speed DH of the scraper;

[0045] The time required for the scraper to complete a working cycle is recorded as the working speed DG, wherein the working cycle includes the movement of the scraper knife, the removal and transportation of materials and other operating steps. The working cycle is set by combining the specific type and model of the scraper, and it is a prior art operation, so it will not be described here.

[0046] Obtain the volume DF1 of the material cleaned by the scraper in one working cycle, and weigh the cleaned material when conveying it to obtain its weight DF2; calculate the volume and weight of the material cleaned by the scraper several times, and use the formula To obtain the cleaning value DF of the cleaning object;

[0047] The working speed, moving speed and cleaning value of the scraper are weighted and calculated, and the formula DS=DG×a1+DH×a2+DF×a3 is used to obtain the ergonomic value DS of the scraper; wherein a1, a2, and a3 represent the weight factors corresponding to the working speed, moving speed and cleaning value of the scraper, respectively; by evaluating and analyzing the working efficiency of the scraper, the working speed, moving speed and cleaning value of the scraper are obtained, and weighted calculation is performed according to the weight factors to obtain the ergonomic value of the scraper, which assists management personnel in understanding the working efficiency of the scraper, thereby evaluating the working performance and production capacity of the equipment;

[0048] Perform fault analysis on the motor operation information of the scraper, obtain the motor operation information on the scraper, set the preset time zone, select the motor operation information of the motor in the preset time zone for statistical index processing, so as to obtain the average value, median and standard deviation corresponding to the motor parameters; perform weighted calculation on the average value FG1, median FG2 and standard deviation FG3 corresponding to the corresponding parameters of the motor, and use the formula Obtain the operation value FG of the corresponding motor; wherein the statistical indicator processing includes the calculation processing of the mean value, the median, and the standard deviation; the parameters in the motor operation information include the current, voltage, temperature, vibration, decibel, and load of the motor; the parameters in the motor operation information are numbered as m, and their set is represented as M; mδ represents the weight influencing factor on the motor when the parameter in the motor operation information is m; set a set normal threshold value for the motor operation value, compare the operation value with the set normal threshold value, if the operation value is not within the set normal threshold value, generate a motor abnormal signaling, if the operation value is within the set normal threshold value, generate a motor normal signaling; mark the motor normal signaling and the motor abnormal signaling as a motor detection signal group;

[0049] After the motor stops abnormally, the abnormal signal of the motor is verified and analyzed, and the motor protection device is tested. If any of the protection devices in the motor protection device is triggered, a motor damage signal is generated; the motor protection device is overload protection, overheat protection, and short circuit protection; if none of the motor protection devices are triggered, a heat dissipation analysis is performed on the temperature information of the corresponding motor, and the shell temperature, rotor temperature and motor ambient temperature at multiple positions corresponding to the current moment are extracted, and the average value is calculated to obtain the shell temperature value, rotor temperature value and ambient temperature value, and the shell temperature value, rotor temperature value and ambient temperature value are weighted to obtain the motor temperature shadow value; the motor temperature shadow value is compared with the motor temperature shadow value. The gear threshold group of the heat dissipation device of the motor is matched to obtain the heat dissipation instruction of the corresponding gear, and the heat dissipation instruction of the corresponding gear is input into the heat dissipation device of the motor to dissipate the heat of the corresponding motor; if the motor temperature value is at the preset temperature threshold, the motor is controlled to start, and the number threshold of the fault analysis and processing is set, and the motor operation information is subjected to fault analysis and processing again until the number threshold is reached. If the motor abnormal signaling is generated again, the motor damage signaling is generated. If the corresponding number of fault analysis and processing all generate the motor normal signaling, the motor actual normal signaling is generated; the motor actual normal signaling and the motor damage signaling are marked as the motor actual condition signaling group;

[0050] When generating the motor damage signal, the motor maintenance is analyzed for priority to obtain the corresponding priority of the signal;

[0051] After receiving the motor abnormality signaling, the execution end controls the motor corresponding to the motor abnormality signaling to shut down; after receiving the motor damage signaling, the corresponding functional motor damage signaling and the corresponding priority of the signaling, the motor position and number are sent to the maintenance personnel's smart terminal; after receiving the corresponding functional motor damage signaling and the corresponding priority of the signaling, the motor position and number through the smart terminal, the maintenance personnel perform maintenance on the corresponding motor, mark the maintenance process as a maintenance record, and mark the motor damage signaling and the work information corresponding to the corresponding priority of the signaling as fault history information.

[0052] It should be noted that by performing fault analysis on the motor operation information, verification analysis will be performed on the motor that stops abnormally, and further analysis will be performed on the motor protection device and temperature information, which will help eliminate false alarms and confirm whether the motor is actually faulty, and provide accurate information and guidance for maintenance personnel; and when it is determined that the motor is faulty, priority determination analysis will be performed to determine the maintenance priority. For example, when the scraper equipment is moving, if any of the motors, such as the stripper motor, bucket motor, and conveyor belt motor, is damaged, a secondary priority will be generated, and if the crawler motor is damaged, a primary priority will be generated; by means of priority determination and maintenance scheduling, maintenance work can be reasonably arranged to improve maintenance efficiency and equipment availability;

[0053] In summary, this solution can improve the working efficiency of equipment, strengthen fault management and maintenance scheduling, reduce downtime and maintenance costs, and improve equipment reliability and production efficiency through real-time monitoring, fault analysis and maintenance priority determination. At the same time, recording and analyzing fault information can also help optimize and improve equipment and work processes.

[0054] In the present application, the collection end includes several sensors for collecting environmental information of the scraper, and the scraper equipment is installed with several sensors for collecting working information of the scraper.

[0055] In this application, when generating the motor damage signaling, the motor maintenance is analyzed for priority determination, and the specific analysis is as follows:

[0056] Obtain the motor group on the scraper, match the motor damage signal with the motor group on the scraper to obtain the corresponding functional motor damage signal; the motor group on the scraper includes a stripper motor, a bucket motor, a conveyor belt motor, and a crawler motor;

[0057] Identify the operating status of the scraper, which includes the scraper state and the walking state; match and determine the corresponding functional motor damage signaling with the operating status, and when generating the motor damage signaling of any one of the stripper motor, bucket motor, and conveyor belt motor, if the scraper is in the walking state, a secondary priority is generated, and if the scraper is in the scraper state, a primary priority is generated; when generating the motor damage signaling corresponding to the crawler motor, if the scraper is in the walking state, a primary priority is generated, and if the scraper is in the scraper state, a secondary priority is generated; among them, the primary priority is greater than the secondary priority, and the primary priority and the secondary priority are marked as the signaling corresponding priority.

[0058] It should be noted that, for example, when the signaling corresponding priority is first-level priority, maintenance personnel are required to go to perform maintenance in a shorter time, while secondary priority gives maintenance personnel a longer time.

[0059] Example 2

[0060] Please refer to Figure 2 As shown, based on the intelligent control system for a slag scraper provided in Example 1 of the present application, Example 2 of the present application proposes another intelligent control system for a slag scraper. Example 2 is only a preferred embodiment of Example 1, and the implementation of Example 2 will not affect the independent implementation of Example 1.

[0061] Specifically, the difference of the intelligent control system for a slag scraper provided in Embodiment 2 of the present application is that: in the present application, the monitoring end includes an efficiency decay analysis module;

[0062] The efficiency decay analysis module is used to obtain the work efficiency value in the historical operation information of the scraper for decay analysis, obtain the maintenance time of the scraper closest to the current time, and mark the time as the first time; if there is no maintenance time, mark the factory time of the scraper as the first time; calculate the time difference between the first time and the current time to obtain the unmaintained time; set the maintenance time threshold of the scraper, calculate the time difference between the maintenance market threshold and the unmaintained time to obtain the unmaintained difference;

[0063] Divide the time area between the current moment and the first moment into time slices according to the preset duration; obtain all the work efficiency values ​​of the scraper time slice, construct a work efficiency attenuation coordinate system, substitute the work efficiency value and the corresponding acquisition time into the work efficiency attenuation coordinate system, mark the position of the work efficiency value in the work efficiency attenuation coordinate system as a work efficiency point, and connect adjacent work efficiency points to obtain a work efficiency line; calculate the slope of the work efficiency line, mark the positive slope as a positive value, and mark the negative slope as a negative value; sum the absolute values ​​of all positive and negative values ​​to obtain the positive and negative sum values; subtract the positive sum value from the negative sum value to obtain the slice attenuation value; through attenuation analysis, understand the changes in the working efficiency of the scraper over time to detect the operating status of the equipment and its impact on the working performance

[0064] According to the order of collection time, the attenuation value of the corresponding time zone is subtracted from the attenuation value of the next time zone to obtain the attenuation difference, and all the attenuation differences are summed up to obtain the cumulative attenuation value; the cumulative attenuation value and the unmaintained difference are weighted to obtain the work efficiency loss value of the scraper; the work efficiency loss can be used to evaluate the efficiency loss degree of the scraper due to the attenuation effect during operation, providing a reference for formulating a maintenance plan;

[0065] Match the work efficiency consumption value with the value range of the preset maintenance time threshold to obtain the corresponding maintenance difference time; calculate the maintenance difference time and the unmaintained difference value to obtain the maintenance value; when the maintenance value is less than or equal to zero, generate a maintenance instruction for the scraper; send the maintenance instruction for the scraper and the location of the scraper to the maintenance personnel's smart terminal. After the maintenance personnel obtains the maintenance instruction for the scraper and the location of the scraper through the smart terminal, they perform maintenance operations on the scraper.

[0066] In the present application, the execution end also includes an attenuation processing module;

[0067] Obtain the zone attenuation value of the first time zone after the maintenance operation of the scraper and mark it as the initial machine attenuation value. If there is no maintenance operation, mark the zone attenuation of the first time zone after the factory time of the scraper as the initial machine attenuation value; sort the initial machine attenuation values ​​according to the collection time, subtract the next initial machine attenuation value from the initial machine attenuation value in the order of the collection time to obtain the attenuation difference, calculate the standard deviation of the attenuation difference to obtain the attenuation fluctuation value; filter the attenuation fluctuation values, and mark the scraper work before the maintenance operation with the attenuation fluctuation value greater than the set fluctuation threshold as abnormal loss work; obtain the work tasks and related information of the abnormal loss work, and thus form a loss abnormality report.

[0068] It should be noted that the attenuation processing module can confirm that the scraper has abnormal wear and tear before maintenance operations, and mark it as abnormal wear and tear work, thereby generating an abnormal wear and tear report, which can assist management personnel in formulating relevant strategies for the scraper.

[0069] In summary, the efficiency attenuation analysis module and the attenuation processing module provide support for the performance evaluation, efficiency monitoring and abnormal loss identification of the scraper, so as to help maintenance personnel and operators better manage and maintain the scraper and improve the working efficiency and reliability of the equipment.

[0070] Example 3

[0071] Please refer to Figure 3 As shown, based on the intelligent control system for a slag scraper provided in Example 1 of the present application, Example 3 of the present application proposes another intelligent control system for a slag scraper. Example 3 is only a preferred embodiment of Example 1, and the implementation of Example 3 will not affect the independent implementation of Example 1.

[0072] Specifically, the difference of the intelligent control system for a slag scraper provided in Example 3 of the present application is that: in the present application, the monitoring terminal also includes a user interaction module;

[0073] The user interaction module can receive and display various data collected by the scraper; it can record and display the fault history information and maintenance records of the scraper equipment.

[0074] In this application, the execution end also includes an auxiliary maintenance module;

[0075] When generating a motor damage signaling, the fault history information corresponding to the motor damage signaling is extracted, and the similarity calculation is performed between the fault history information and the working information corresponding to the motor damage signaling to obtain a fault similarity coefficient; a similarity threshold of the fault similarity coefficient is set, and historical motor abnormal instructions and corresponding maintenance records and fault history information greater than the similarity threshold are marked as maintenance reference information, and the maintenance reference information is sorted according to the size of the similarity coefficient to generate a maintenance reference list, which is then sent to the maintenance personnel's smart terminal.

[0076] It should be noted that the auxiliary maintenance module helps maintenance personnel to handle the fault conditions and maintenance work of the scraper more efficiently. Specifically, similar faults to the current motor damage signal in the historical fault information are retrieved as a reference, and arranged according to the similarity coefficient, so as to find useful information from the maintenance reference list, provide auxiliary effects on fault handling and maintenance work, help improve the efficiency and accuracy of maintenance work, and reduce the impact of equipment failures on production.

[0077] Those skilled in the art will readily appreciate other embodiments of the present invention after considering the specification and practicing the invention disclosed herein. This application is intended to cover any variations, uses or adaptations of the present invention that follow the general principles of the present invention and include common knowledge or customary techniques in the art that are not disclosed in this disclosure. The specification and examples are to be considered exemplary only, and the true scope and spirit of the present invention are indicated by the following claims.

[0078] It should be understood that the present invention is not limited to the exact construction that has been described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present invention is limited only by the appended claims.

Claims

1. An intelligent control system for a slag scraper, characterized in that: Including the collection end, monitoring end, and execution end; The collection end is used to collect the working information and environmental information of the scraper in real time; The monitoring end is used to perform work efficiency analysis on the working information of the scraper to obtain the work efficiency value of the scraper; perform fault analysis on the motor operation information of the scraper, obtain the motor operation information on the scraper, set a preset time zone, select the motor operation information of the motor in the preset time zone for statistical index processing, so as to obtain the average value, median and standard deviation corresponding to the motor parameters; The average value, median and standard deviation corresponding to the corresponding parameters of the motor are weighted and calculated, and the operating value of the corresponding motor is obtained by using the formula; wherein the statistical indicator processing includes the average value, median and standard deviation calculation processing, and the parameters in the motor operation information include the motor's current, voltage, temperature, vibration, decibel and load; a set normal threshold value of the motor operation value is set, and the operation value is compared with the set normal threshold value. If the operation value is not within the set normal threshold value, a motor abnormal signal is generated, and if the operation value is within the set normal threshold value, a motor normal signal is generated; After the motor stops abnormally, the abnormal signal of the motor is verified and analyzed, and the motor protection device is tested. If any of the protection devices in the motor protection device is triggered, a motor damage signal is generated; the motor protection device overload protection, overheat protection, short circuit protection; if none of the motor protection devices are triggered, the temperature information of the corresponding motor is subjected to heat dissipation analysis, and the shell temperature, rotor temperature and motor ambient temperature at multiple positions on the motor corresponding to the current moment are extracted, and the average value is calculated to obtain the shell temperature value, rotor temperature value and ambient temperature value, and the shell temperature value, rotor temperature value and ambient temperature value are weighted and calculated. Motor temperature shadow value; match the motor temperature shadow value with the gear threshold group of the motor's heat dissipation device to obtain the heat dissipation instruction of the corresponding gear, input the heat dissipation instruction of the corresponding gear into the motor's heat dissipation device, and dissipate the heat of the corresponding motor; if the motor temperature shadow value is at the preset temperature threshold, control the motor to start, set the number threshold of fault analysis and processing, and perform fault analysis and processing on the motor operation information again until the number threshold is reached. If the motor abnormal signal is generated again, the motor damage signal is generated. If the corresponding number of fault analysis and processing all generate motor normal signal, the motor actual normal signal is generated; When generating the motor damage signal, the motor maintenance is analyzed for priority to obtain the corresponding priority of the signal; After receiving the motor abnormality signaling, the execution end controls the motor corresponding to the motor abnormality signaling to shut down; after receiving the motor damage signaling, the corresponding functional motor damage signaling and the corresponding priority of the signaling, the motor position and number are sent to the maintenance personnel's smart terminal; after the maintenance personnel receive the corresponding functional motor damage signaling and the corresponding priority of the signaling, the motor position and number through the smart terminal, they maintain the corresponding motor, mark the maintenance process as a maintenance record, and mark the work information corresponding to the motor damage signaling and the corresponding priority of the signaling as fault history information.

2. The intelligent control system for a slag scraper according to claim 1, characterized in that: The monitoring end includes an efficiency analysis module; The efficiency analysis module is used to perform work efficiency analysis on the working information of the scraper, obtain the initial position of the scraper knife during operation, calculate the distance difference between the actual position of the scraper knife and the initial position to obtain the moving distance; extract the moving distance and required time of the scraper knife and calculate the moving speed of the scraper knife; The time required for the scraper to complete a working cycle is recorded as the working speed, wherein the working cycle includes the movement of the scraper blade, the removal and transportation of materials and other operating steps; The volume of the material cleaned by the scraper in one working cycle is obtained, and the cleaned material is weighed when it is transported to obtain its weight; the volume and weight of the material cleaned by the scraper for several times are calculated to obtain the cleaning value of the cleaned material; The working speed, moving speed and cleaning value of the scraper are weighted to obtain the ergonomic value of the scraper.

3. The intelligent control system for a slag scraper according to claim 1, characterized in that: The monitoring end includes an efficiency attenuation analysis module; The efficiency decay module is used to obtain the work efficiency value in the historical operation information of the scraper for decay analysis, obtain the maintenance time of the scraper closest to the current time, and mark the time as the first time; if there is no maintenance time, mark the factory time of the scraper as the first time; calculate the time difference between the first time and the current time to obtain the maintenance-free time; Set the maintenance time threshold of the scraper, calculate the time difference between the maintenance time threshold and the non-maintenance time to obtain the non-maintenance difference; The time area between the current moment and the first moment is divided into time slices according to the preset time length; all the work efficiency values ​​of the scraper time slice are obtained, and a work efficiency attenuation coordinate system is constructed, and the work efficiency values ​​and the corresponding acquisition time are substituted into the work efficiency attenuation coordinate system, and the positions of the work efficiency values ​​in the work efficiency attenuation coordinate system are marked as work efficiency points, and adjacent work efficiency points are connected to obtain a work efficiency line; the slope of the work efficiency line is calculated, and a positive slope is marked as a positive value, and a negative slope is marked as a negative value; The absolute values ​​of all positive effect values ​​and negative effect values ​​are summed up to obtain the positive effect sum value and the negative effect sum value; the positive effect sum value is subtracted from the negative effect sum value to obtain the area attenuation value; According to the acquisition time sequence, the slice attenuation value of the corresponding time slice is subtracted from the slice attenuation value of the next time slice to obtain the attenuation difference, and all the attenuation differences are summed to obtain the cumulative attenuation value; The accumulated attenuation value and the unmaintained difference value are weighted to obtain the efficiency loss value of the scraper; Match the work efficiency consumption value with the value range of the preset maintenance time threshold to obtain the corresponding maintenance difference time; calculate the maintenance difference time and the unmaintained difference value to obtain the maintenance value; when the maintenance value is less than or equal to zero, generate a maintenance instruction for the scraper; send the maintenance instruction for the scraper and the location of the scraper to the maintenance personnel's smart terminal. After the maintenance personnel obtains the maintenance instruction for the scraper and the location of the scraper through the smart terminal, they perform maintenance operations on the scraper.

4. The intelligent control system for a slag scraper according to claim 3, characterized in that: The execution end also includes an attenuation processing module; Obtain the zone attenuation value of the first time zone after the maintenance operation of the scraper and mark it as the initial machine attenuation value. If there is no maintenance operation, mark the zone attenuation of the first time zone after the factory time of the scraper as the initial machine attenuation value; sort the initial machine attenuation values ​​according to the collection time, subtract the next initial machine attenuation value from the initial machine attenuation value in the order of the collection time to obtain the attenuation difference, calculate the standard deviation of the attenuation difference to obtain the attenuation fluctuation value; filter the attenuation fluctuation values, and mark the scraper work before the maintenance operation with the attenuation fluctuation value greater than the set fluctuation threshold as abnormal loss work; obtain the work tasks and related information of the abnormal loss work, and thus form a loss abnormality report.

5. The intelligent control system for a slag scraper according to claim 1, characterized in that: The collecting end includes a plurality of sensors for collecting environmental information of the scraper, and the scraper equipment is equipped with a plurality of sensors for collecting working information of the scraper.

6. The intelligent control system for a slag scraper according to claim 1, characterized in that: When generating the motor damage signaling, a priority determination analysis is performed on the maintenance of the motor, and the specific analysis is as follows: Obtain the motor group on the scraper, match the motor damage signal with the motor group on the scraper to obtain the corresponding functional motor damage signal; the motor group on the scraper includes a stripper motor, a bucket motor, a conveyor belt motor, and a crawler motor; Identify the operating status of the scraper, which includes the scraper state and the walking state; match and determine the corresponding functional motor damage signaling with the operating status, and when generating the motor damage signaling of any one of the stripper motor, the bucket motor, and the conveyor belt motor, if the scraper is in the walking state, a secondary priority is generated, and if the scraper is in the scraper state, a primary priority is generated; when generating the motor damage signaling corresponding to the crawler motor, if the scraper is in the walking state, a primary priority is generated, and if the scraper is in the scraper state, a secondary priority is generated; wherein, the primary priority is greater than the secondary priority, and the primary priority and the secondary priority are marked as the signaling corresponding priorities.

7. The intelligent control system for a slag scraper according to claim 1, characterized in that: The monitoring terminal also includes a user interaction module; The user interaction module receives and displays various data collected by the scraper, and records and displays the fault history information and maintenance records of the scraper equipment.

8. The intelligent control system for a slag scraper according to claim 7, characterized in that: The execution end also includes an auxiliary maintenance module; When generating the motor damage signaling, extracting the fault history information corresponding to the motor damage signaling, and performing similarity calculation processing on the fault history information and the working information corresponding to the motor damage signaling to obtain the fault similarity coefficient; A similarity threshold of the fault similarity coefficient is set, and historical motor abnormal instructions and corresponding maintenance records and fault history information greater than the similarity threshold are marked as maintenance reference information. The maintenance reference information is sorted according to the size of the similarity coefficient to generate a maintenance reference list, which will be sent to the maintenance personnel's smart terminal.

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