Environment-friendly double-shaft fusion machine and control system thereof

Abstract

The invention provides an environment-friendly double-shaft fusion machine and a control system thereof, and the system comprises a data collection module which is used for collecting the working state data of the interior of the double-shaft fusion machine based on a laid sensor, and transmitting the working state data to a main control center for the dynamic collaborative analysis of different supervision limit indexes; the control module is used for carrying out dynamic strategy control on two stages of rotating blades in the double-shaft fusion machine based on the dynamic collaborative analysis result and carrying out expected processing on a tailing muck mixture in the double-shaft fusion machine based on a control result; and the dynamic adjusting and cleaning module is used for synchronously starting a cleaning device to discharge the processed tailing muck mixture and clean the equipment after the expected processing is finished. The reliability and accuracy of control over the double-shaft fusion machine are ensured, meanwhile, the quality stability of processing of the tailing muck mixture is improved, and the situation of energy waste caused by repeated reworking is avoided.

Description

Technical Field

[0001] The present invention relates to the technical field of equipment control, and in particular to a green and environment-friendly dual-axis fusion machine and a control system thereof. Background Art

[0002] At present, the dual-axis fusion machine is widely used in many industrial fields such as chemical industry, material processing and other fields;

[0003] However, in modern industrial production processes, many fusion equipment (such as traditional single-axis or non-environmentally friendly dual-axis fusion machines) may cause excessive mixing and failure to adjust the equipment working state in time according to the mixing conditions due to the lack of precise control of the equipment working parameters during operation, consuming excessive electricity. At the same time, the uneven mixing may also cause unstable product quality, requiring multiple reworks, further increasing energy consumption and waste generation, thereby causing energy waste and greatly reducing the control effect of the dual-axis fusion machine.

[0004] Therefore, in order to overcome the above-mentioned defects, the present invention provides a green and environmentally friendly dual-axis fusion machine and a control system thereof. Summary of the Invention

[0005] The present invention provides a green and environmentally friendly dual-axis fusion machine and its control system, which are used to collect the working status data inside the dual-axis fusion machine in real time through the arranged sensors, and perform dynamic collaborative analysis on the working status data according to the regulatory limit indicators, so as to facilitate the accurate formulation of corresponding control strategies according to the specific conditions of the tailings slag soil mixture inside the dual-axis fusion machine. Secondly, the two-stage rotating blades in the dual-axis fusion machine are dynamically controlled according to the dynamic collaborative analysis results to ensure that the tailings slag soil mixture can be effectively processed according to the analysis results. At the same time, it ensures that energy is saved to the greatest extent while ensuring the processing effect. Finally, after the expected processing is completed, the cleaning device is synchronously started to discharge the processed tailings slag soil mixture and clean the equipment, avoiding object residue and ensuring the reliability and accuracy of the control of the dual-axis fusion machine. At the same time, it improves the quality stability of the tailings slag soil mixture processing and avoids energy waste due to multiple rework.

[0006] The present invention provides a green and environmentally friendly dual-axis fusion machine, comprising:

[0007] The data acquisition module is used to collect the working status data inside the dual-axis fusion machine based on the deployed sensors, and transmit the working status data to the main control center for dynamic collaborative analysis of different regulatory limit indicators;

[0008] a control module for performing dynamic strategy control on two-stage rotating blades in the dual-axis fusion machine based on the dynamic collaborative analysis results, and performing expected processing on the tailings-soil mixture in the dual-axis fusion machine based on the control results;

[0009] The dynamic adjustment and cleaning module is used to synchronously start the cleaning device to discharge the processed tailings and soil mixture and clean the equipment after the expected processing is completed.

[0010] Preferably, a green and environmentally friendly dual-axis fusion machine, a data acquisition module, comprises:

[0011] A requirement acquisition unit is used to acquire monitoring services for the dual-axis fusion machine based on the management terminal, and determine the sensors required for each monitoring service based on the service characteristics of the monitoring service;

[0012] A position point determination unit is used to determine the key monitoring position of each monitoring dimension inside the dual-axis fusion machine based on the schematic diagram of the working principle of the dual-axis fusion machine, and determine the deployment position of the corresponding sensor based on the key monitoring position;

[0013] The deployment guidance unit is used to generate a sensor deployment guidance map based on the deployment location, and mark the same category of sensors in different key monitoring locations with the same marker.

[0014] Preferably, a green and environmentally friendly dual-axis fusion machine, a data acquisition module, comprises:

[0015] A sensor startup unit, configured to initialize parameters of the deployed sensors based on the power startup result of the dual-axis fusion machine, and to synchronously start the deployed sensors based on the configuration result;

[0016] The data acquisition unit is used to control each sensor to periodically collect regional working status data of the corresponding working area inside the dual-axis fusion machine based on the synchronous start result, and extract the sensor device category of each working area;

[0017] The data classification unit is used to regionally differentiate and summarize the regional working status data collected by the same type of sensor equipment in different working areas based on the sensor equipment category, and obtain the working status data inside the dual-axis fusion machine based on the regional differentiation and summary results.

[0018] Preferably, a green and environmentally friendly dual-axis fusion machine, a data acquisition module, comprises:

[0019] The data transmission unit is used to build a personalized data flow channel between each sensor and the main control center, and transmit the working status data collected by each sensor to the main control center in real time based on the personalized data flow channel;

[0020] Dynamic Collaborative Analysis Unit, used to:

[0021] An indicator association model is constructed, and based on the indicator association model, the received working status data is dynamically analyzed to obtain the collaborative control parameters of the dual-axis fusion machine in different working stages.

[0022] Preferably, a green and environmentally friendly dual-axis fusion machine, a dynamic collaborative analysis unit, comprises:

[0023] Parameter recording subunit, used for:

[0024] Obtain the collaborative control parameters corresponding to different working stages of the dual-axis fusion machine under different working status data in real time, and bind the working status data, working stage and collaborative control parameters;

[0025] Build a data record table, and based on the binding results, record the work status data, work stage and collaborative control parameters in the data record table to generate a collaborative control parameter guidance table;

[0026] Database construction subunit, used to:

[0027] Generate a database header from the collaborative control parameter guidance table, and cache the work status data, work phase and collaborative control parameters in the database;

[0028] The database header is associated with the cache result address to complete the construction of the collaborative control parameter database.

[0029] Preferably, a green and environmentally friendly dual-axis fusion machine control module includes:

[0030] A result acquisition unit is used to acquire the dynamic collaborative analysis results, read the dynamic collaborative analysis results, and determine the collaborative execution parameters of the actions of different execution devices in the dual-axis fusion machine;

[0031] A control unit is used to perform dynamic strategy control on different execution devices based on the motion coordination execution parameters, and drive the two-stage rotating blades in the dual-axis fusion machine to rotate based on the dynamic strategy control results;

[0032] Process monitoring unit for:

[0033] Processing the tailings-slag-soil mixture inside the double-axis fusion machine based on the control results, and monitoring the real-time status of the tailings-slag-soil mixture inside the double-axis fusion machine in real time;

[0034] The working stages of the two-stage rotating blades in the dual-axis fusion machine are feedback-adjusted based on the real-time status until the expected processing of the tailings-soil mixture is completed.

[0035] Preferably, a green and environmentally friendly dual-axis fusion machine, a dynamic adjustment and cleaning module, comprises:

[0036] Reminder unit, used to:

[0037] When the expected processing is completed, the reminder instruction is started, and the reminder device is triggered to perform the reminder operation according to the reminder instruction. At the same time, a cleaning request is generated synchronously when the reminder operation is generated;

[0038] The cleaning request includes: discharging the tailings-soil mixture, cleaning the two-stage rotating blades in the double-axis fusion machine, and cleaning the device that carries the tailings-soil mixture inside the double-axis fusion machine;

[0039] The control unit is used to generate a cleaning control instruction according to the cleaning request, and control the start-up of the cleaning device according to the cleaning control instruction, and discharge the processed tailings slag soil mixture and perform equipment cleaning operations according to the cleaning device.

[0040] Preferably, a green and environmentally friendly dual-axis fusion machine, a control unit, comprises:

[0041] The request reading subunit is used to read the cleaning request and determine the request items of the cleaning request;

[0042] A splitting sub-unit is used to split the cleaning request according to the request items and obtain a sub-cleaning request corresponding to each request item;

[0043] Instruction element generation subunit, used for:

[0044] Read the sub-cleaning request and determine the execution steps and execution targets in the sub-cleaning request;

[0045] Generate an instruction element corresponding to each sub-cleaning request according to the execution steps and execution targets of each sub-cleaning request;

[0046] The cleanup control instruction generation subunit is used to:

[0047] Obtaining the execution order between the request items, and sorting and synthesizing the instruction elements corresponding to the sub-cleaning requests according to the execution order between the request items to generate an instruction element sequence;

[0048] Generates cleanup control instructions based on instruction metasequence.

[0049] Preferably, a green and environmentally friendly dual-axis fusion machine, a dynamic adjustment and cleaning module, comprises:

[0050] Image acquisition unit, used for:

[0051] After the processed tailings-soil mixture is discharged and the equipment request operation is completed, the cleaning area in the dual-axis fusion machine is determined. At the same time, the cleaning area is divided according to the equipment body in the cleaning area, and the image acquisition areas corresponding to different equipment bodies are obtained;

[0052] Capturing images of the corresponding device bodies based on the image acquisition area to obtain target images corresponding to each device body;

[0053] an image processing and analysis unit, configured to perform pixel grayscale processing on the target image to obtain a target grayscale image, and read a first pixel distribution feature of the target image; and simultaneously, to collect a reference grayscale image of the device body in a clean state, and determine a second pixel distribution feature of the reference grayscale image;

[0054] A judgment unit is used to:

[0055] Determining whether the first pixel distribution feature matches the second pixel distribution feature;

[0056] When the first pixel distribution feature matches the second pixel distribution feature, it is determined that the corresponding device body is clean;

[0057] Otherwise, it is determined that the corresponding device body is not cleaned;

[0058] The alarm unit is used to perform an alarm operation when the corresponding equipment body is not cleaned thoroughly.

[0059] The present invention provides a green and environmentally friendly dual-axis fusion machine control system. The dual-axis fusion machine stores a computer program for executing any one of the operating steps of the green and environmentally friendly dual-axis fusion machine.

[0060] Compared with the prior art, the present invention has the following beneficial effects:

[0061] The deployed sensors collect the working status data inside the dual-axis fusion machine in real time, and perform dynamic collaborative analysis on the working status data according to the regulatory limit indicators, so as to facilitate the accurate formulation of corresponding control strategies according to the specific conditions of the tailings slag soil mixture inside the dual-axis fusion machine. Secondly, the two-stage rotating blades in the dual-axis fusion machine are dynamically controlled according to the dynamic collaborative analysis results to ensure that the tailings slag soil mixture can be effectively processed according to the analysis results. At the same time, it ensures that energy is saved to the greatest extent while ensuring the processing effect. Finally, after the expected processing is completed, the cleaning device is synchronously started to discharge the processed tailings slag soil mixture and clean the equipment, avoiding object residue and ensuring the reliability and accuracy of the control of the dual-axis fusion machine. At the same time, it improves the quality stability of the tailings slag soil mixture processing and avoids energy waste due to multiple rework.

[0062] Other features and advantages of the present invention will be described in the following description, and in part will become apparent from the description, or will be understood by practicing the present invention. The purpose and other advantages of the present invention can be achieved and obtained through the structures specifically pointed out in this application document.

[0063] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0064] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0065] Figure 1 This is a structural diagram of a green and environmentally friendly dual-axis fusion machine in an embodiment of the present invention;

[0066] Figure 2 This is a structural diagram of a data acquisition module in a green and environmentally friendly dual-axis fusion machine in Example 3 of the present invention;

[0067] Figure 3 This is a structural diagram of a control module in a green and environmentally friendly dual-axis fusion machine in an embodiment of the present invention. DETAILED DESCRIPTION

[0068] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0069] Example 1:

[0070] This embodiment provides a green and environmentally friendly dual-axis fusion machine. Figure 1 Shown, including:

[0071] The data acquisition module is used to collect the working status data inside the dual-axis fusion machine based on the deployed sensors, and transmit the working status data to the main control center for dynamic collaborative analysis of different regulatory limit indicators;

[0072] a control module for performing dynamic strategy control on two-stage rotating blades in the dual-axis fusion machine based on the dynamic collaborative analysis results, and performing expected processing on the tailings-soil mixture in the dual-axis fusion machine based on the control results;

[0073] The dynamic adjustment and cleaning module is used to synchronously start the cleaning device to discharge the processed tailings and soil mixture and clean the equipment after the expected processing is completed.

[0074] In this embodiment, the types and quantities of the deployed sensors are not unique, and include temperature sensors, concentration sensors, and pressure sensors.

[0075] In this embodiment, the working status data refers to the stirring speed of the internal equipment of the dual-shaft fusion machine and the stirring condition of the tailings-slag-soil mixture, including the uniformity of the stirring.

[0076] In this embodiment, the main control center is constructed in advance and is a chip used to analyze working status data.

[0077] In this embodiment, the regulatory limit indicators refer to the influencing factors that need to be considered when controlling the dual-axis fusion machine, including the mixing uniformity of the tailings-slag-soil mixture and the stirring speed of the tailings-slag-soil mixture.

[0078] In this embodiment, dynamic collaborative analysis refers to data correlation analysis of the working status data inside the dual-axis fusion machine based on regulatory indicators. The purpose is to generate a control plan for the dual-axis fusion machine based on the current working conditions inside the dual-axis fusion machine, ensuring that the equipment can be controlled in a targeted manner according to work needs, saving energy while ensuring work results.

[0079] In this embodiment, the two-stage rotating blade is a device inside the double-axis fusion machine, that is, the main tool for stirring the tailings slag soil mixture.

[0080] In this embodiment, dynamic strategy control refers to controlling the working state of the two-stage rotating blades in the dual-axis fusion machine based on the results of dynamic collaborative analysis, and the control strategy changes dynamically in order to change with the situation of the tailings slag soil mixture in the dual-axis fusion machine.

[0081] In this embodiment, the expected processing refers to the specific goal of processing the tailings-soil mixture, including the final mixing concentration and mixing uniformity that need to be achieved.

[0082] In this embodiment, the cleaning device is a tool provided in the biaxial fusion machine, and is used to clean the objects remaining in the biaxial fusion machine after processing.

[0083] The working principle and beneficial effects of the above technical solution are: the working status data inside the dual-axis fusion machine are collected in real time through the deployed sensors, and the working status data are dynamically coordinated and analyzed according to the regulatory limit indicators, so as to facilitate the accurate formulation of corresponding control strategies according to the specific conditions of the tailings slag soil mixture inside the dual-axis fusion machine; secondly, the two-stage rotating blades in the dual-axis fusion machine are dynamically controlled according to the dynamic coordinated analysis results to ensure that the tailings slag soil mixture can be effectively processed according to the analysis results, and at the same time, it ensures that energy is saved to the greatest extent while ensuring the processing effect; finally, after the expected processing is completed, the cleaning device is synchronously started to discharge the processed tailings slag soil mixture and clean the equipment, avoiding object residue and ensuring the reliability and accuracy of the control of the dual-axis fusion machine. At the same time, the quality stability of the tailings slag soil mixture processing is improved, and energy waste caused by multiple rework is avoided.

[0084] Example 2:

[0085] Based on Example 1, this embodiment provides a green and environmentally friendly dual-axis fusion machine, a data acquisition module, including:

[0086] A requirement acquisition unit is used to acquire monitoring services for the dual-axis fusion machine based on the management terminal, and determine the sensors required for each monitoring service based on the service characteristics of the monitoring service;

[0087] A position point determination unit is used to determine the key monitoring position of each monitoring dimension inside the dual-axis fusion machine based on the schematic diagram of the working principle of the dual-axis fusion machine, and determine the deployment position of the corresponding sensor based on the key monitoring position;

[0088] The deployment guidance unit is used to generate a sensor deployment guidance map based on the deployment location, and mark the same category of sensors in different key monitoring locations with the same marker.

[0089] In this embodiment, the monitoring service refers to a service category for monitoring the dual-axis fusion machine, for example, the stirring speed of the dual-axis fusion machine and the stirring uniformity of the tailings slag soil mixture in the dual-axis fusion machine.

[0090] In this embodiment, the service characteristics refer to the corresponding operating characteristics and service types of the monitoring service.

[0091] In this embodiment, the key monitoring position refers to a specific position that can effectively monitor each monitoring dimension.

[0092] The working principle and beneficial effects of the above technical solution are: by determining the monitoring business of the dual-axis fusion machine, the corresponding sensors can be effectively determined according to the monitoring business. Secondly, the deployment positions of different sensors are determined through the working principle diagram of the dual-axis fusion machine, and finally accurate and effective deployment guidance of the sensors is achieved, providing reliable data support for the control of the green and environmentally friendly dual-axis fusion machine.

[0093] Example 3:

[0094] Based on Example 1, this embodiment provides a green and environmentally friendly dual-axis fusion machine, such as Figure 2 As shown, the data acquisition module includes:

[0095] A sensor startup unit, configured to initialize parameters of the deployed sensors based on the power startup result of the dual-axis fusion machine, and to synchronously start the deployed sensors based on the configuration result;

[0096] The data acquisition unit is used to control each sensor to periodically collect regional working status data of the corresponding working area inside the dual-axis fusion machine based on the synchronous start result, and extract the sensor device category of each working area;

[0097] The data classification unit is used to regionally differentiate and summarize the regional working status data collected by the same type of sensor equipment in different working areas based on the sensor equipment category, and obtain the working status data inside the dual-axis fusion machine based on the regional differentiation and summary results.

[0098] In this embodiment, initializing parameter configuration refers to adapting parameters of the sensor to ensure that the sensor can perform corresponding data collection services.

[0099] In this embodiment, the regional working status data refers to the results obtained by collecting data in the corresponding monitoring area through the deployed sensors.

[0100] The working principle and beneficial effects of the above technical solution are: by initializing the parameter configuration of the deployed sensors and synchronously starting the deployed sensors according to the configuration results, the regional working status data of the corresponding working area can be accurately and effectively acquired; secondly, the acquired regional working status data is differentiated and summarized by region, so as to achieve effective acquisition of the working status data inside the dual-axis fusion machine, thereby facilitating accurate and effective understanding of the real-time working conditions inside the dual-axis fusion machine.

[0101] Example 4:

[0102] Based on Example 1, this embodiment provides a green and environmentally friendly dual-axis fusion machine, a data acquisition module, including:

[0103] The data transmission unit is used to build a personalized data flow channel between each sensor and the main control center, and transmit the working status data collected by each sensor to the main control center in real time based on the personalized data flow channel;

[0104] Dynamic Collaborative Analysis Unit, used to:

[0105] Obtain the working characteristics of the dual-axis fusion machine and determine different types of regulatory limit indicators based on the working characteristics;

[0106] At the same time, the server is accessed, and based on the access result, the historical working data of the dual-axis fusion machine is retrieved, and the indicators of the historical working data under the working stage are quantified based on the regulatory limit indicators, so as to obtain the first indicator quantification value of the regulatory limit indicators under different working stages of the dual-axis fusion machine;

[0107] Based on the visit results, retrieve the industry implementation standards, and determine the quantitative value of the second indicator of the regulatory limit indicator at different working stages of the dual-axis fusion machine based on the industry implementation standards;

[0108] Based on the contribution of historical work data and industry implementation standards to the regulatory limit indicators, the quantitative value of the first indicator and the quantitative value of the second indicator are combined to obtain the specific numerical value corresponding to the regulatory limit indicator;

[0109] Construct a multivariate reference baseline based on the specific values corresponding to the regulatory-limited indicators, and analyze the relative value relationship between historical work data and the corresponding multivariate reference baseline;

[0110] Determine the correlation coefficient and linear regression function between regulatory indicators based on the results of relative value relationship analysis, and construct an indicator correlation model based on the correlation coefficient and linear regression function;

[0111] Conduct real-time multi-variable monitoring of the working status data received by the main control center, and lock the main regulatory limit indicator and the associated regulatory limit indicator when the working status data under the regulatory limit indicator exceeds the corresponding specific value;

[0112] The locking results are dynamically analyzed based on the indicator association model, and the collaborative control parameters of the dual-axis fusion machine in different working stages are obtained based on the dynamic collaborative analysis results.

[0113] In this embodiment, the personalized data flow channel refers to the corresponding data transmission channel between different sensors and the main control center, that is, there is a corresponding data transmission channel between each sensor and the main control center.

[0114] In this embodiment, the working characteristics refer to the working features of the dual-axis fusion machine, including the types of operations when processing tailings slag and the specific standards for processing.

[0115] In this embodiment, indicator quantification refers to analyzing historical work data through regulatory limit indicators to determine the indicator values of different regulatory limit indicators. For example, when the regulatory limit indicator is stirring speed, the specific limit values of the speed limit indicators corresponding to the initial and final stages of stirring are determined by analyzing historical work data.

[0116] In this embodiment, the first indicator quantitative value refers to the specific value requirement corresponding to the regulatory limit indicator obtained by analyzing historical work data.

[0117] In this embodiment, the industry implementation standard is known in advance and is used to represent the industry specification requirements for processing tailings soil.

[0118] In this embodiment, the quantitative value of the second indicator is determined according to industry implementation standards.

[0119] In this embodiment, the contribution refers to the importance of historical work data and industry implementation standards to regulatory requirements.

[0120] In this embodiment, the multivariate reference baseline is constructed based on the specific numerical values of the regulatory-limited indicators. It is an auxiliary tool for constructing an indicator association model and is used to analyze the relative value relationship between historical work data and the corresponding multivariate reference baseline.

[0121] In this embodiment, the relationship function is used to characterize the causal transformation relationship between different regulatory limit indicators.

[0122] In this embodiment, the linear regression function is used to characterize the correlation between different regulatory limit indicators.

[0123] In this embodiment, real-time multi-variable monitoring refers to monitoring the working status data with different supervisory limit indicators.

[0124] In this embodiment, the main supervision limit index refers to an index that is directly related to the supervision limit index. For example, when the stirring speed is abnormal, the main supervision limit index is the stirring speed index.

[0125] In this embodiment, the associated supervision limitation indicator refers to an indicator that has an associated relationship with the subject supervision limitation indicator.

[0126] The working principle and beneficial effects of the above technical solution are: by constructing personalized data flow channels between different sensors and the main control center, the collected working status data can be effectively transmitted to the corresponding main control center in real time through the personalized data flow channel. Secondly, the corresponding regulatory limit indicators are determined by the working characteristics of the dual-axis fusion machine, and historical working data are retrieved from the server, and the retrieved historical working data are analyzed to achieve accurate and effective determination of the specific values of the regulatory limit indicators, and then the correlation between the regulatory limit indicators is determined by the specific values of the regulatory limit indicators, so as to achieve effective construction of the indicator correlation model. Finally, the constructed indicator correlation model is used to dynamically and collaboratively analyze the existing abnormal regulatory limit indicators, so as to achieve determination of the collaborative control parameters of the dual-axis fusion machine in different working stages, which provides convenience and guarantee for the effective control of the green and environmentally friendly dual-axis fusion machine.

[0127] Example 5:

[0128] Based on Example 4, this embodiment provides a green and environmentally friendly dual-axis fusion machine and a dynamic collaborative analysis unit, including:

[0129] Parameter recording subunit, used for:

[0130] Obtain the collaborative control parameters corresponding to different working stages of the dual-axis fusion machine under different working status data in real time, and bind the working status data, working stage and collaborative control parameters;

[0131] Build a data record table, and based on the binding results, record the work status data, work stage and collaborative control parameters in the data record table to generate a collaborative control parameter guidance table;

[0132] Database construction subunit, used to:

[0133] Generate a database header from the collaborative control parameter guidance table, and cache the work status data, work phase and collaborative control parameters in the database;

[0134] The database header is associated with the cache result address to complete the construction of the collaborative control parameter database.

[0135] In this embodiment, the collaborative control parameter guidance table refers to the result obtained by binding and recording the working status data, working stages and collaborative control parameters of different working stages under different working status data, which is used to provide control reference opinions when controlling the dual-axis fusion machine.

[0136] In this embodiment, the database header refers to the format conversion of the collaborative control parameter guidance table, the purpose of which is to store the collaborative control parameter guidance table at the starting position of the database, so as to facilitate the guidance function.

[0137] The working principle and beneficial effect of the above technical solution are: by binding and recording the working status data, working stages and collaborative control parameters of the dual-axis fusion machine in different working stages under different working status data, the collaborative control parameter database can be accurately and effectively constructed, providing a reference basis for the subsequent control of the dual-axis fusion machine under different circumstances.

[0138] Example 6:

[0139] Based on Example 1, this embodiment provides a green and environmentally friendly dual-axis fusion machine, a control module, including:

[0140] A result acquisition unit is used to acquire the dynamic collaborative analysis results, read the dynamic collaborative analysis results, and determine the collaborative execution parameters of the actions of different execution devices in the dual-axis fusion machine;

[0141] A control unit is used to perform dynamic strategy control on different execution devices based on the motion coordination execution parameters, and drive the two-stage rotating blades in the dual-axis fusion machine to rotate based on the dynamic strategy control results;

[0142] Process monitoring unit for:

[0143] Processing the tailings-slag-soil mixture inside the double-axis fusion machine based on the control results, and monitoring the real-time status of the tailings-slag-soil mixture inside the double-axis fusion machine in real time;

[0144] The working stages of the two-stage rotating blades in the dual-axis fusion machine are feedback-adjusted based on the real-time status until the expected processing of the tailings-soil mixture is completed.

[0145] In this embodiment, the motion coordination execution parameter refers to the specific degree to which each execution device needs to change when controlling different execution devices in the dual-axis fusion machine.

[0146] The working principle and beneficial effects of the above technical solution are: determining the action coordination execution parameters of different execution devices in the dual-axis fusion machine through dynamic collaborative analysis results, realizing dynamic strategy control of different execution devices according to the action coordination execution parameters, and then driving the two-stage rotating blades to rotate to realize the processing of the tailings slag soil mixture inside the dual-axis fusion machine. At the same time, the processing process is monitored and feedback adjusted in real time to ensure the processing effect of the tailings slag soil mixture.

[0147] Example 7:

[0148] Based on Example 1, this embodiment provides a green and environmentally friendly dual-axis fusion machine, a dynamic adjustment and cleaning module, including:

[0149] Reminder unit, used to:

[0150] When the expected processing is completed, the reminder instruction is started, and the reminder device is triggered to perform the reminder operation according to the reminder instruction. At the same time, a cleaning request is generated synchronously when the reminder operation is generated;

[0151] The cleaning request includes: discharging the tailings-soil mixture, cleaning the two-stage rotating blades in the double-axis fusion machine, and cleaning the device that carries the tailings-soil mixture inside the double-axis fusion machine;

[0152] The control unit is used to generate a cleaning control instruction according to the cleaning request, and control the start-up of the cleaning device according to the cleaning control instruction, and discharge the processed tailings slag soil mixture and perform equipment cleaning operations according to the cleaning device.

[0153] The working principle and beneficial effects of the above technical solution are: by synchronously generating reminder operations and cleaning requests after the expected processing is completed, and then generating cleaning control instructions according to the cleaning requests, the cleaning device is started by the cleaning control instructions to discharge the processed tailings and soil mixture and perform equipment cleaning operations to avoid residues of the mixture.

[0154] Example 8:

[0155] Based on Example 7, this embodiment provides a green and environmentally friendly dual-axis fusion machine, a control unit, including:

[0156] The request reading subunit is used to read the cleaning request and determine the request items of the cleaning request;

[0157] A splitting sub-unit is used to split the cleaning request according to the request items and obtain a sub-cleaning request corresponding to each request item;

[0158] Instruction element generation subunit, used for:

[0159] Read the sub-cleaning request and determine the execution steps and execution targets in the sub-cleaning request;

[0160] Generate an instruction element corresponding to each sub-cleaning request according to the execution steps and execution targets of each sub-cleaning request;

[0161] The cleanup control instruction generation subunit is used to:

[0162] Obtaining the execution order between the request items, and sorting and synthesizing the instruction elements corresponding to the sub-cleaning requests according to the execution order between the request items to generate an instruction element sequence;

[0163] Generates cleanup control instructions based on instruction metasequence.

[0164] In this embodiment, the requested items refer to the parts that need to be cleaned, including the interior of the dual-axis fusion machine and the two-stage rotating blades.

[0165] In this embodiment, the sub-cleaning request refers to a specific cleanup request corresponding to each request item obtained by splitting the cleanup request according to the request items.

[0166] In this embodiment, the execution target refers to the purpose that the sub-cleaning request ultimately aims to achieve.

[0167] In this embodiment, the instruction element refers to the element constituting the instruction.

[0168] In this embodiment, the instruction element sequence refers to the result obtained after sorting and synthesizing the instruction elements.

[0169] The working principle and beneficial effects of the above technical solution are: by parsing the cleanup request, the request item is determined, and then the cleanup request is split according to the request item, so that the sub-cleaning request corresponding to each request item can be accurately and effectively determined. Secondly, the sub-cleaning request is parsed to determine the execution steps and execution targets, and then the corresponding control instructions are generated through the execution steps and execution targets, ensuring the accuracy and reliability of the final cleanup control instructions.

[0170] Example 9:

[0171] Based on Example 7, this embodiment provides a green and environmentally friendly dual-axis fusion machine, a dynamic adjustment and cleaning module, including:

[0172] Image acquisition unit, used for:

[0173] After the processed tailings-soil mixture is discharged and the equipment request operation is completed, the cleaning area in the dual-axis fusion machine is determined. At the same time, the cleaning area is divided according to the equipment body in the cleaning area, and the image acquisition areas corresponding to different equipment bodies are obtained;

[0174] Capturing images of the corresponding device bodies based on the image acquisition area to obtain target images corresponding to each device body;

[0175] an image processing and analysis unit, configured to perform pixel grayscale processing on the target image to obtain a target grayscale image, and read a first pixel distribution feature of the target image; and simultaneously, to collect a reference grayscale image of the device body in a clean state, and determine a second pixel distribution feature of the reference grayscale image;

[0176] A judgment unit is used to:

[0177] Determining whether the first pixel distribution feature matches the second pixel distribution feature;

[0178] When the first pixel distribution feature matches the second pixel distribution feature, it is determined that the corresponding device body is clean;

[0179] Otherwise, it is determined that the corresponding device body is not cleaned;

[0180] The alarm unit is used to perform an alarm operation when the corresponding equipment body is not cleaned thoroughly.

[0181] In this embodiment, the device body refers to the components contained inside the dual-axis fusion machine.

[0182] In this embodiment, the target image refers to an image of the device body obtained after image acquisition is performed on the device body.

[0183] In this embodiment, the target grayscale image refers to a result obtained by performing grayscale processing on the target image.

[0184] In this embodiment, the first pixel distribution feature refers to the distribution of pixels in the target image.

[0185] In this embodiment, the reference grayscale image refers to a grayscale image corresponding to the device body in a clean state.

[0186] In this embodiment, the second pixel distribution feature refers to the distribution of pixels in the reference grayscale image.

[0187] The working principle and beneficial effects of the above technical solution are: by collecting the target image of the equipment body in the cleaning area and obtaining the reference grayscale image of the equipment body in the cleaning state, and grayscale processing the collected target image and matching it with the corresponding reference grayscale image, an accurate and effective judgment of whether the equipment body is clean can be achieved, thereby ensuring the cleaning effect of the dual-axis fusion machine.

[0188] Example 10:

[0189] This embodiment provides a green and environmentally friendly dual-axis fusion machine control system. The dual-axis fusion machine stores a computer program for executing the operating steps of a green and environmentally friendly dual-axis fusion machine as described in any one of Examples 1-9.

[0190] Obviously, those skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if such changes and modifications fall within the scope of the claims and their equivalents, the present invention is intended to include such changes and modifications.

Claims

1. A green and environmentally friendly dual-axis fusion machine, characterized in that: include: The data acquisition module is used to collect the working status data inside the dual-axis fusion machine based on the deployed sensors, and transmit the working status data to the main control center for dynamic collaborative analysis of different regulatory limit indicators; a control module for performing dynamic strategy control on two-stage rotating blades in the dual-axis fusion machine based on the dynamic collaborative analysis results, and performing expected processing on the tailings-soil mixture in the dual-axis fusion machine based on the control results; The dynamic adjustment and cleaning module is used to synchronously start the cleaning device to discharge the processed tailings and soil mixture and clean the equipment after the expected processing is completed.

2. A green and environmentally friendly dual-axis fusion machine according to claim 1, characterized in that: Data acquisition module, including: A requirement acquisition unit is used to acquire monitoring services for the dual-axis fusion machine based on the management terminal, and determine the sensors required for each monitoring service based on the service characteristics of the monitoring service; A position point determination unit is used to determine the key monitoring position of each monitoring dimension inside the dual-axis fusion machine based on the schematic diagram of the working principle of the dual-axis fusion machine, and determine the deployment position of the corresponding sensor based on the key monitoring position; The deployment guidance unit is used to generate a sensor deployment guidance map based on the deployment location, and mark the same category of sensors in different key monitoring locations with the same marker.

3. The green and environmentally friendly dual-axis fusion machine according to claim 1, characterized in that: Data acquisition module, including: A sensor startup unit, configured to initialize parameters of the deployed sensors based on the power startup result of the dual-axis fusion machine, and to synchronously start the deployed sensors based on the configuration result; The data acquisition unit is used to control each sensor to periodically collect regional working status data of the corresponding working area inside the dual-axis fusion machine based on the synchronous start result, and extract the sensor device category of each working area; The data classification unit is used to regionally differentiate and summarize the regional working status data collected by the same type of sensor equipment in different working areas based on the sensor equipment category, and obtain the working status data inside the dual-axis fusion machine based on the regional differentiation and summary results.

4. The green and environmentally friendly dual-axis fusion machine according to claim 1, characterized in that: Data acquisition module, including: The data transmission unit is used to build a personalized data flow channel between each sensor and the main control center, and transmit the working status data collected by each sensor to the main control center in real time based on the personalized data flow channel; Dynamic Collaborative Analysis Unit, used to: An indicator association model is constructed, and based on the indicator association model, the received working status data is dynamically analyzed to obtain the collaborative control parameters of the dual-axis fusion machine in different working stages.

5. The green and environmentally friendly dual-axis fusion machine according to claim 4, characterized in that: Dynamic collaborative analysis unit, including: Parameter recording subunit, used for: Obtain the collaborative control parameters corresponding to different working stages of the dual-axis fusion machine under different working status data in real time, and bind the working status data, working stage and collaborative control parameters; Build a data record table, and based on the binding results, record the work status data, work stage and collaborative control parameters in the data record table to generate a collaborative control parameter guidance table; Database construction subunit, used to: Generate a database header from the collaborative control parameter guidance table, and cache the work status data, work phase and collaborative control parameters in the database; The database header is associated with the cache result address to complete the construction of the collaborative control parameter database.

6. The green and environmentally friendly dual-axis fusion machine according to claim 1, characterized in that: Control module, including: A result acquisition unit is used to acquire the dynamic collaborative analysis results, read the dynamic collaborative analysis results, and determine the collaborative execution parameters of the actions of different execution devices in the dual-axis fusion machine; A control unit is used to perform dynamic strategy control on different execution devices based on the motion coordination execution parameters, and drive the two-stage rotating blades in the dual-axis fusion machine to rotate based on the dynamic strategy control results; Process monitoring unit for: Processing the tailings-slag-soil mixture inside the double-axis fusion machine based on the control results, and monitoring the real-time status of the tailings-slag-soil mixture inside the double-axis fusion machine in real time; The working stages of the two-stage rotating blades in the dual-axis fusion machine are feedback-adjusted based on the real-time status until the expected processing of the tailings-soil mixture is completed.

7. The green and environmentally friendly dual-axis fusion machine according to claim 1, characterized in that: Dynamic adjustment and cleanup modules, including: Reminder unit, used to: When the expected processing is completed, the reminder instruction is started, and the reminder device is triggered to perform the reminder operation according to the reminder instruction. At the same time, a cleaning request is generated synchronously when the reminder operation is generated; The cleaning request includes: discharging the tailings-soil mixture, cleaning the two-stage rotating blades in the double-axis fusion machine, and cleaning the device that carries the tailings-soil mixture inside the double-axis fusion machine; The control unit is used to generate a cleaning control instruction according to the cleaning request, and control the start-up of the cleaning device according to the cleaning control instruction, and discharge the processed tailings slag soil mixture and perform equipment cleaning operations according to the cleaning device.

8. The green and environmentally friendly dual-axis fusion machine according to claim 7, characterized in that: Control unit, including: The request reading subunit is used to read the cleaning request and determine the request items of the cleaning request; A splitting sub-unit is used to split the cleaning request according to the request items and obtain a sub-cleaning request corresponding to each request item; Instruction element generation subunit, used for: Read the sub-cleaning request and determine the execution steps and execution targets in the sub-cleaning request; Generate an instruction element corresponding to each sub-cleaning request according to the execution steps and execution targets of each sub-cleaning request; The cleanup control instruction generation subunit is used to: Obtaining the execution order between the request items, and sorting and synthesizing the instruction elements corresponding to the sub-cleaning requests according to the execution order between the request items to generate an instruction element sequence; Generates cleanup control instructions based on instruction metasequence.

9. The green and environmentally friendly dual-axis fusion machine according to claim 1, characterized in that: Dynamic adjustment and cleanup modules, including: Image acquisition unit, used for: After the processed tailings-soil mixture is discharged and the equipment request operation is completed, the cleaning area in the dual-axis fusion machine is determined. At the same time, the cleaning area is divided according to the equipment body in the cleaning area, and the image acquisition areas corresponding to different equipment bodies are obtained; Capturing images of the corresponding device bodies based on the image acquisition area to obtain target images corresponding to each device body; an image processing and analysis unit, configured to perform pixel grayscale processing on the target image to obtain a target grayscale image, and read a first pixel distribution feature of the target image; and simultaneously, to collect a reference grayscale image of the device body in a clean state, and determine a second pixel distribution feature of the reference grayscale image; A judgment unit is used to: Determining whether the first pixel distribution feature matches the second pixel distribution feature; When the first pixel distribution feature matches the second pixel distribution feature, it is determined that the corresponding device body is clean; Otherwise, it is determined that the corresponding device body is not cleaned; The alarm unit is used to perform an alarm operation when the corresponding equipment body is not cleaned thoroughly.

10. A green and environmentally friendly dual-axis fusion machine control system, characterized in that: A computer program is stored on the dual-axis fusion machine for executing the operating steps of the green and environmentally friendly dual-axis fusion machine as described in any one of claims 1 to 9.

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