Data acquisition system and method suitable for mining equipment

Abstract

The invention provides a data acquisition system and method suitable for mining equipment, and relates to the technical field of intelligent control, and the system comprises an early warning module which is used for monitoring the output voltage, current and temperature parameters of a power module; judging whether the power supply state is normal or not through a preset threshold value; the signal conversion module comprises a 485 communication to CAN communication module and is used for converting data of a 485 communication protocol into data of a CAN protocol; the discrete digital quantity acquisition module is used for acquiring discrete data and converting the discrete data into data of a CAN protocol; and the continuous analog quantity acquisition module is used for acquiring analog quantity data and converting the analog quantity data into CAN protocol data. According to the invention, sorting and summarizing of sensor data of various different protocols are realized, and finally the sensor data are published in a data format of the industrial Ethernet.

Description

Technical Field

[0001] The present invention relates to the field of intelligent control technology, and in particular to a data collection method suitable for mining equipment. Background Art

[0002] In recent years, with the continuous advancement of intelligent construction of coal mines, many intelligent control algorithms, operating platforms, and controllers need to introduce the status information of working face equipment and environment. The remote centralized control center summarizes and analyzes this information to determine whether the current working face equipment is in a healthy state and whether the working face environment is in a safe state. At present, the collection of equipment information and environmental information mainly involves directly connecting sensor data to the equipment control box, connecting to the controller after the isolation fence, and completing data processing and analysis in the controller.

[0003] The advantage of this mode is that the device information does not need to be transferred and is directly connected to the controller, so the data accuracy and real-time performance are high. However, due to the increasing types and number of peripherals such as sensors, the disadvantages of this mode are becoming more and more obvious:

[0004] The control box is required to have a sufficient number of input terminals to meet the needs of sensor access; there must be sufficient space inside the control box to facilitate wiring by assembly and maintenance personnel; the control box often has power supply cables with voltage levels such as 3300V, 1140V, and 200V, which poses a great safety hazard to maintenance personnel; the control box is the brain of the equipment, and too many peripheral sensors connected will inevitably increase the frequency of control box maintenance, which is not conducive to maintaining a dry and tidy environment inside the control box cavity. Summary of the invention

[0005] The technical problem to be solved by the present invention is to provide a data collection method suitable for mining equipment, which realizes the sorting and aggregation of sensor data of multiple different protocols and finally publishes it to the outside in the data format of industrial Ethernet.

[0006] In order to solve the above technical problems, the technical solution of the present invention is as follows:

[0007] In a first aspect, a data collection system applicable to mining equipment comprises:

[0008] The power supply module includes an AC127V to DC24V power supply module, a DC24V to DC12V power supply module and an early warning module. The AC127V to DC24V power supply module and the DC24V to DC12V power supply module are used to power the controller, communication module, acquisition module and repeater; the early warning module is used to monitor the output voltage, current and temperature parameters of the power supply module; and judge whether the power supply status is normal through the preset threshold value;

[0009] The signal conversion module includes a 485 communication to CAN communication module, which is used to convert the data of the 485 communication protocol into the data of the CAN protocol; a discrete digital quantity acquisition module, which is used to collect discrete data and convert it into the data of the CAN protocol; and a continuous analog quantity acquisition module, which is used to collect analog quantity data and convert it into the data of the CAN protocol.

[0010] CAN bus repeater, which is used to aggregate the sensor signals from various channels, amplify the CAN signal and send it to the next cable to extend the communication distance of the CAN bus;

[0011] The embedded controller is used to process all data in the CAN bus and output the data in the industrial Ethernet format according to the communication protocol.

[0012] Furthermore, the output voltage, current and temperature parameters of the power module are monitored; and the power status is judged to be normal through the preset threshold value, including:

[0013] Initialize the voltage, current and temperature sensors connected to the power module;

[0014] According to the preset frequency, the output voltage, current and temperature data of the power module are collected through sensors;

[0015] Preprocessing the collected data to obtain preprocessed data;

[0016] Encoding the thresholds of voltage, current and temperature of the power module as genes of the genetic algorithm;

[0017] Generate an initial population containing multiple individuals, each individual represents a set of threshold settings;

[0018] Define an evaluation function for evaluating the performance of each set of threshold settings in detecting power state anomalies;

[0019] According to the result of the evaluation function, the corresponding individuals are selected for crossover and mutation operations to generate a new population. The process of fitness evaluation, selection, crossover and mutation is repeated until the preset number of iterations is reached. The threshold value optimized by the genetic algorithm is applied to real-time monitoring.

[0020] Compare the voltage, current and temperature data collected in real time with the optimized thresholds to determine whether the power supply status is normal.

[0021] Furthermore, analog data is collected and converted into CAN protocol data, including:

[0022] Randomly generate an initial parameter configuration as the current solution;

[0023] Randomly generate new parameter configurations as candidate solutions in the neighborhood of the current solution;

[0024] According to the defined optimization goal, the performance of the current solution and the candidate solution is evaluated. If the performance of the candidate solution meets the Metropolis criterion, the candidate solution is accepted as the new current solution, and the current temperature is reduced according to the set temperature drop rate until the preset number of iterations is reached. The parameter configuration optimized by the simulated annealing algorithm is applied to the continuous analog acquisition module.

[0025] Use the optimized parameters to collect analog data and convert the collected analog data into CAN protocol format.

[0026] Furthermore, the sensor signals are aggregated, the CAN signals are amplified and sent to the next cable to extend the communication distance of the CAN bus, including:

[0027] Initialize the CAN bus repeater, set the corresponding baud rate and frame type; configure the filter rules of the repeater;

[0028] Continuously receive CAN signals from various sensors and pre-process the received signals;

[0029] The pre-processed signal is amplified and sent to the next cable segment.

[0030] Furthermore, all data in the CAN bus is processed and the data in industrial Ethernet format is output according to the communication protocol, including:

[0031] Get the transmission data on the CAN bus and set a buffer for the transmission data;

[0032] According to the CAN protocol specification, parse the received data frame and extract the valid data payload and related metadata, including frame ID and timestamp;

[0033] According to the correspondence between the CAN protocol and the industrial Ethernet protocol, the mapping rules for data conversion are defined; according to the mapping rules, the CAN data is converted into the data format and structure required by the industrial Ethernet protocol;

[0034] Encapsulate the converted data into a frame structure that complies with the industrial Ethernet protocol standard, and set the transmission parameters according to the configuration of the target network, including the source / destination MAC address, IP address and port number;

[0035] Put the encapsulated Ethernet data frame into the sending queue and wait for sending;

[0036] The data frames are sent to the industrial Ethernet through the network interface card.

[0037] Furthermore, the calculation formula of the evaluation function is:

[0038]

[0039] Where T represents a specific set of threshold settings; TP(T) represents the number of samples that are actually abnormal and detected as abnormal under a given threshold T; TN(T) represents the number of samples that are actually normal and detected as normal under a given threshold T; FP(T) represents the number of samples that are actually normal but detected as abnormal under a given threshold T; FN(T) represents the number of samples that are actually abnormal but detected as normal under a given threshold T; α, β, and γ are weight coefficients; μ represents the mean of the Gaussian function, indicating the expected threshold center; σ represents the standard deviation of the Gaussian function.

[0040] In a second aspect, a data collection method applicable to mining equipment includes:

[0041] The early warning module monitors the output voltage, current and temperature parameters of the power module in real time, and determines whether the power status is normal through preset thresholds;

[0042] 485 communication data is converted into CAN communication data, and both discrete digital data and continuous analog data are collected and converted into CAN protocol data;

[0043] The CAN bus repeater aggregates and amplifies the sensor signals and transmits them to the next cable, thereby extending the communication distance of the CAN bus.

[0044] An embedded controller is used to process all data within the CAN bus and output data in an industrial Ethernet format.

[0045] Furthermore, the early warning module monitors the output voltage, current and temperature parameters of the power module in real time, and determines whether the power status is normal through preset thresholds, including:

[0046] Initialize the voltage, current and temperature sensors connected to the power module;

[0047] Collect output voltage, current and temperature data of the power module through sensors at a preset frequency;

[0048] Preprocess the collected data;

[0049] Optimize the voltage, current and temperature thresholds of the power module using genetic algorithms;

[0050] Define an evaluation function to evaluate the performance of each set of thresholds in power state anomaly detection;

[0051] The real-time collected data is compared with the optimized threshold to determine whether the power status is normal.

[0052] According to a third aspect, a computing device includes:

[0053] one or more processors;

[0054] The storage device is used to store one or more programs. When the one or more programs are executed by the one or more processors, the one or more processors implement the method described.

[0055] In a fourth aspect, a computer-readable storage medium stores a program, and when the program is executed by a processor, the method described is implemented.

[0056] The above scheme of the present invention includes at least the following beneficial effects.

[0057] Through the AC127V to DC24V and DC24V to DC12V power modules, the system can provide stable and reliable power for the controller, communication module, acquisition module and repeater, ensuring that the entire data acquisition system can work continuously and stably in harsh mining environments. The early warning module can monitor the output voltage, current and temperature parameters of the power module in real time, and judge whether the power status is normal through the preset threshold. This early warning mechanism helps to detect potential problems of the power module in time, prevent data acquisition interruption or equipment damage caused by power failure, and improve the reliability and safety of the system. The signal conversion module supports 485 communication to CAN communication, as well as the acquisition of discrete digital quantities and continuous analog quantities and converts them into CAN protocol data. This design enables the system to be compatible with many different types of sensors and communication protocols, greatly enhancing the flexibility and scope of application of the system.

[0058] The CAN bus repeater can aggregate the signals of various sensors, amplify the CAN signal and send it to the next cable, thus effectively extending the communication distance of the CAN bus. This means that in the complex layout of mining equipment, the system can achieve longer-distance data transmission, improving the efficiency and coverage of data collection. The embedded controller can process all data in the CAN bus and output the data in the industrial Ethernet format according to the communication protocol. This efficient data processing capability enables the system to respond quickly to data collection needs and transmit the collected data to the host computer or cloud for further analysis and processing in a timely manner. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] Figure 1 It is a schematic diagram of a data acquisition system suitable for mining equipment provided by an embodiment of the present invention.

[0060] Figure 2 It is a schematic diagram of the internal structure of a data acquisition system applicable to mining equipment provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0061] The exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although the exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0062] like Figure 1 As shown, an embodiment of the present invention provides a data acquisition system suitable for mining equipment, comprising:

[0063] The power supply module includes an AC127V to DC24V power supply module, a DC24V to DC12V power supply module and an early warning module. The AC127V to DC24V power supply module and the DC24V to DC12V power supply module are used to power the controller, communication module, acquisition module and repeater; the early warning module is used to monitor the output voltage, current and temperature parameters of the power supply module; and judge whether the power supply status is normal through the preset threshold value;

[0064] The signal conversion module includes a 485 communication to CAN communication module, which is used to convert the data of the 485 communication protocol into the data of the CAN protocol; a discrete digital quantity acquisition module, which is used to collect discrete data and convert it into the data of the CAN protocol; and a continuous analog quantity acquisition module, which is used to collect analog quantity data and convert it into the data of the CAN protocol.

[0065] CAN bus repeater, which is used to aggregate the sensor signals from various channels, amplify the CAN signal and send it to the next cable to extend the communication distance of the CAN bus;

[0066] The embedded controller is used to process all data in the CAN bus and output the data in the industrial Ethernet format according to the communication protocol.

[0067] In an embodiment of the present invention, through the power supply modules of AC127V to DC24V and DC24V to DC12V, the system can provide a stable and reliable power supply for the controller, communication module, acquisition module and repeater, ensuring that the entire data acquisition system can work continuously and stably in a harsh mining environment. The early warning module can monitor the output voltage, current and temperature parameters of the power module in real time, and judge whether the power status is normal through a preset threshold. This early warning mechanism helps to timely discover potential problems of the power module, prevent data acquisition interruption or equipment damage caused by power failure, and improve the reliability and safety of the system. The signal conversion module supports 485 communication to CAN communication, as well as the acquisition of discrete digital quantities and continuous analog quantities and converts them into CAN protocol data. This design enables the system to be compatible with a variety of different types of sensors and communication protocols, greatly enhancing the flexibility and scope of application of the system.

[0068] The CAN bus repeater can aggregate the signals of various sensors, amplify the CAN signal and send it to the next cable, thus effectively extending the communication distance of the CAN bus. This means that in the complex layout of mining equipment, the system can achieve longer-distance data transmission, improving the efficiency and coverage of data collection. The embedded controller can process all data in the CAN bus and output the data in the industrial Ethernet format according to the communication protocol. This efficient data processing capability enables the system to respond quickly to data collection needs and transmit the collected data to the host computer or cloud for further analysis and processing in a timely manner.

[0069] In an embodiment of the present invention, the output voltage, current and temperature parameters of the power module are monitored; and whether the power status is normal is determined by a preset threshold value, including:

[0070] Initialize the voltage, current and temperature sensors connected to the power module;

[0071] According to the preset frequency, the output voltage, current and temperature data of the power module are collected through sensors;

[0072] Preprocessing the collected data to obtain preprocessed data;

[0073] Encoding the thresholds of voltage, current and temperature of the power module as genes of the genetic algorithm;

[0074] Generate an initial population containing multiple individuals, each individual represents a set of threshold settings;

[0075] Define an evaluation function for evaluating the performance of each set of threshold settings in detecting power state anomalies;

[0076] According to the result of the evaluation function, the corresponding individuals are selected for crossover and mutation operations to generate a new population. The process of fitness evaluation, selection, crossover and mutation is repeated until the preset number of iterations is reached. The threshold value optimized by the genetic algorithm is applied to real-time monitoring.

[0077] Compare the voltage, current and temperature data collected in real time with the optimized thresholds to determine whether the power supply status is normal.

[0078] In an embodiment of the present invention, by initializing the voltage, current and temperature sensors connected to the power module, the system can accurately monitor the key output parameters of the power module. This precise monitoring capability helps to timely detect abnormal changes in the power state, thereby triggering an early warning mechanism to ensure the stable operation of the power system. Preprocessing the collected raw data can eliminate interference factors such as noise and abnormal values, and improve the accuracy and reliability of the data. This helps the accuracy of subsequent threshold comparisons and state judgments, and reduces the possibility of false alarms and missed reports. By optimizing the thresholds of the voltage, current and temperature of the power module through a genetic algorithm, the system can automatically find the best threshold combination to adapt to different working conditions and environmental changes. This adaptive threshold setting method improves the sensitivity and specificity of power state detection and enhances the robustness of the system. By defining evaluation functions and genetic operations such as selection, crossover, and mutation, the system can quickly converge to the optimal threshold setting and apply it to real-time monitoring. By monitoring the power state in real time and taking corresponding early warning or protection measures, the system can significantly reduce the risk of equipment downtime or damage caused by power failure. This not only improves the reliability and service life of mining equipment, but also reduces maintenance costs and safety hazards.

[0079] In an embodiment of the present invention, collecting analog data and converting it into CAN protocol data includes:

[0080] Randomly generate an initial parameter configuration as the current solution, specifically including: determining the parameter range that needs to be optimized, such as sampling frequency, filter coefficient, amplification factor, etc.; using a random number generator to generate a set of initial parameter configurations within the defined parameter range, and setting this set of initial parameter configurations as the current solution as the starting point of the simulated annealing algorithm.

[0081] A new parameter configuration is randomly generated in the neighborhood of the current solution as a candidate solution, specifically including: defining the neighborhood range of the current solution, that is, the maximum range of variation allowed for each parameter, and again using a random number generator to generate a set of new parameter configurations in the neighborhood of the current solution as candidate solutions, ensuring that the candidate solutions are still within the defined legal parameter range.

[0082] According to the defined optimization goal, the performance of the current solution and the candidate solution is evaluated. If the performance of the candidate solution meets the Metropolis criterion, the candidate solution is accepted as the new current solution, and the current temperature is reduced according to the set temperature drop rate until the preset number of iterations is reached. The parameter configuration optimized by the simulated annealing algorithm is applied to the continuous analog quantity acquisition module, which specifically includes: defining a performance evaluation function to measure the impact of the parameter configuration on the data acquisition quality, such as signal-to-noise ratio, error rate, etc.; using the current solution and the candidate solution to simulate data acquisition respectively, and calculating the performance scores of the two through the performance evaluation function; comparing the performance scores of the current solution and the candidate solution according to the Metropolis criterion. If the performance of the candidate solution is better, or meets a certain probability acceptance condition (even if the performance is slightly worse), the candidate solution is accepted as the new current solution; the current temperature value is updated according to the set temperature drop rate, and the "cooling" step in the simulated annealing process is simulated; the steps are repeated until the preset number of iterations is reached or other stop conditions are met.

[0083] Among them, the calculation formula of the performance evaluation function is:

[0084] P=w S ×Sw R ×R;

[0085] Among them, w S and w R is the weight; S is the signal-to-noise ratio; R is the error rate.

[0086] Use the optimized parameters to collect analog data and convert the collected analog data into the CAN protocol format, specifically including: saving the final parameter configuration obtained by optimizing the simulated annealing algorithm, applying these optimized parameter configurations to the actual continuous analog acquisition module, replacing the original parameter settings, and ensuring that the new parameter configuration can be correctly identified and loaded at the hardware or software level; using the optimized parameter configuration to start the continuous analog acquisition module and start collecting analog data; performing necessary preprocessing on the collected analog data, such as filtering and amplification; encapsulating and encoding the preprocessed analog data in the format of the CAN protocol, including setting the correct data frame ID, data length, and data content; sending the encapsulated CAN protocol data to the CAN bus for other devices or systems to receive and process, and continuously monitoring the data acquisition and transmission process to ensure the accuracy and real-time nature of the data.

[0087] In an embodiment of the present invention, through the simulated annealing algorithm, the system can automatically find and optimize the parameter configuration of the continuous analog quantity acquisition module. This optimization process takes into account a variety of possible parameter combinations, so as to find the configuration with the best performance under specific conditions, thereby improving the accuracy and efficiency of data acquisition. The optimized parameter configuration makes the analog quantity data acquisition more accurate and reliable. This reduces the noise and interference in the data acquisition process, improves the signal-to-noise ratio of the data, and provides a high-quality data source for subsequent data analysis and processing. The simulated annealing algorithm is a general optimization method that can adapt to different working environments and acquisition requirements. By adjusting the optimization objectives and constraints, the system can flexibly adapt to various complex mining equipment application scenarios, thereby improving the versatility and flexibility of the system. Converting the collected analog quantity data into the CAN protocol format helps to achieve high-speed data transmission and sharing. The CAN protocol has an efficient data transmission mechanism and wide compatibility, so that data can be quickly and accurately transmitted between different devices and systems, thereby improving the real-time and response speed of the entire data acquisition system. By automatically optimizing the parameter configuration, the need for manual intervention and adjustment is reduced. This reduces the maintenance cost and operation complexity of the system, while reducing the risk of configuration errors and performance degradation caused by human factors.

[0088] In an embodiment of the present invention, the various sensor signals are aggregated, the CAN signal is amplified and sent to the next cable to extend the communication distance of the CAN bus, including:

[0089] Initialize the CAN bus repeater, set the corresponding baud rate and frame type; configure the filter rules of the repeater;

[0090] Continuously receive CAN signals from various sensors and pre-process the received signals;

[0091] The pre-processed signal is amplified and sent to the next cable segment.

[0092] In an embodiment of the present invention, the CAN signal is amplified and forwarded to the next cable segment by a repeater, which effectively extends the communication distance of the CAN bus. This makes it possible to achieve stable and reliable data transmission in a wider area or longer line, meeting the needs of long-distance communication. During the signal transmission process, the signal quality may gradually decrease due to factors such as cable attenuation and external interference. By preprocessing and amplifying the received CAN signal through a repeater, the signal quality can be significantly enhanced, and the anti-interference ability and stability of data transmission can be improved. The repeater can receive and process CAN signals from multi-channel sensors, realizing centralized management and unified forwarding of signals. This not only simplifies the system structure, but also improves the efficiency and reliability of data transmission, and facilitates subsequent data processing and analysis. By initializing and configuring the CAN bus repeater, parameters such as baud rate, frame type, and filtering rules can be flexibly set to adapt to different communication needs and network environments. The optimized CAN signal transmission scheme not only improves the performance of a single transmission link, but also improves the performance of the entire system as a whole.

[0093] In an embodiment of the present invention, all data in the CAN bus are processed and data in an industrial Ethernet format is output according to the communication protocol, including:

[0094] Get the transmission data on the CAN bus and set a buffer for the transmission data;

[0095] According to the CAN protocol specification, parse the received data frame and extract the valid data payload and related metadata, including frame ID and timestamp;

[0096] According to the correspondence between the CAN protocol and the industrial Ethernet protocol, the mapping rules for data conversion are defined; according to the mapping rules, the CAN data is converted into the data format and structure required by the industrial Ethernet protocol;

[0097] Encapsulate the converted data into a frame structure that complies with the industrial Ethernet protocol standard, and set the transmission parameters according to the configuration of the target network, including the source / destination MAC address, IP address and port number;

[0098] Put the encapsulated Ethernet data frame into the sending queue and wait for sending;

[0099] The data frames are sent to the industrial Ethernet through the network interface card.

[0100] In an embodiment of the present invention, the process can convert the data on the CAN bus into data of the industrial Ethernet protocol, and realize data intercommunication between different communication protocols. This enables the devices and systems originally running on the CAN bus to seamlessly connect with the devices in the industrial Ethernet, broadening the scope and possibility of data interaction. By defining efficient data conversion mapping rules, the process can quickly convert CAN data into Ethernet data format, reducing the delay and overhead in the data conversion process. At the same time, the high-speed transmission characteristics of industrial Ethernet can significantly improve the transmission speed and efficiency of data. During the data conversion process, the payload and metadata (such as frame ID and timestamp) of the original CAN data are retained, which is essential for subsequent data processing and analysis. In addition, the converted data is sent in real time through the network interface card, ensuring the real-time and availability of the data, and meeting the demand for real-time data in industrial applications. The process allows the transmission parameters (such as source / destination MAC address, IP address and port number) to be flexibly configured according to actual needs, so that the system can adapt to different network environments and application requirements. At the same time, it supports the data output of multiple industrial Ethernet protocols, which provides convenience for the expansion and upgrade of the system.

[0101] In the embodiment of the present invention, the calculation formula of the evaluation function is:

[0102]

[0103] Where T represents a specific set of threshold settings; TP(T) represents the number of samples that are actually abnormal and detected as abnormal under a given threshold T; TN(T) represents the number of samples that are actually normal and detected as normal under a given threshold T; FP(T) represents the number of samples that are actually normal but detected as abnormal under a given threshold T; FN(T) represents the number of samples that are actually abnormal but detected as normal under a given threshold T; α, β, and γ are weight coefficients; μ represents the mean of the Gaussian function, indicating the expected threshold center; σ represents the standard deviation of the Gaussian function.

[0104] In an embodiment of the present invention, the function comprehensively considers the number of true positive examples TP(T), true negative examples TN(T), false positive examples FP(T) and false negative examples FN(T), and can fully reflect the performance of the model or system under a specific threshold T. This helps to more accurately evaluate the actual effect of the model or system and avoid the one-sidedness of a single indicator. By introducing weight coefficients α, β and γ, the function allows the user to flexibly adjust the importance of each indicator according to actual needs. For example, in anomaly detection scenarios, more attention may be paid to recall rate (i.e., detecting as many actual anomalies as possible), and the value of β can be increased at this time. This flexibility makes the function applicable to different application scenarios and needs. The Gaussian part in the function makes the evaluation result not only depend on the number of each indicator, but also considers the degree of deviation of the threshold T from the expected threshold center μ. This means that when the threshold is set close to the expected center, the evaluation result will get a higher weight. This design helps to guide the model or system to optimize in the direction of the expected threshold and improve the stability and reliability of performance.

[0105] A data collection method applicable to mining equipment, comprising:

[0106] The early warning module monitors the output voltage, current and temperature parameters of the power module in real time, and determines whether the power status is normal through preset thresholds;

[0107] 485 communication data is converted into CAN communication data, and both discrete digital data and continuous analog data are collected and converted into CAN protocol data;

[0108] The CAN bus repeater aggregates and amplifies the sensor signals and transmits them to the next cable, thereby extending the communication distance of the CAN bus.

[0109] Use embedded controller to process all data in CAN bus and output data in industrial Ethernet format. The early warning module monitors the output voltage, current and temperature parameters of the power module in real time, and determines whether the power status is normal through preset thresholds, including:

[0110] Initialize the voltage, current and temperature sensors connected to the power module;

[0111] Collect output voltage, current and temperature data of the power module through sensors at a preset frequency;

[0112] Preprocess the collected data;

[0113] Optimize the voltage, current and temperature thresholds of the power module using genetic algorithms;

[0114] Define an evaluation function to evaluate the performance of each set of thresholds in power state anomaly detection;

[0115] The real-time collected data is compared with the optimized threshold to determine whether the power status is normal.

[0116] It should be noted that the system is a system corresponding to the above method, and all implementation methods in the above method embodiment are applicable to this embodiment and can achieve the same technical effect.

[0117] like Figure 2 As shown, a data acquisition system suitable for mining equipment includes: a box, a power module, an embedded controller, a 485 communication to CAN communication module, a digital quantity acquisition module, an analog quantity acquisition module, a CAN bus repeater and other modules.

[0118] The box of the data acquisition device includes: an external shell, a window panel, an introduction device, a mounting rail, etc.; the external shell is a carrier for accommodating modules such as the controller, 485 communication to CAN communication module, discrete digital acquisition module, analog acquisition module, CAN bus repeater, and power module. The window panel is the cover of the external shell, and the two can form a closed space. The introduction device is arranged on both sides of the external shell, and the sensor power supply and communication cables enter the inside of the acquisition device box through the introduction device. There is a rubber sleeve inside the introduction device to ensure the sealing of the introduction device. The mounting rail is fixed to the bottom plate of the box and is used to fix devices such as the 485 communication to CAN communication module, discrete digital acquisition module, analog acquisition module, and CAN bus repeater.

[0119] The internal device of the box mainly includes the power supply part, signal conversion part, signal integration part and controller part. The power supply module includes two types of power conversion modules, namely AC127V to DC24V power supply module and DC24V to DC12V power supply module, which can power the controller, 485 communication to CAN communication module, digital quantity acquisition module, analog quantity acquisition module, CAN bus repeater and other modules.

[0120] The signal conversion part includes:

[0121] The 485 communication to CAN communication module is used to collect sensor data using the 485 communication protocol as a signal and convert the data into data under the CAN protocol.

[0122] The discrete digital quantity acquisition module is used to collect sensor data with discrete data as signals and convert the data into data under the CAN protocol.

[0123] The continuous analog quantity acquisition module is used to collect sensor data with analog quantity data as signals and convert the data into data under the CAN protocol.

[0124] The signal integration part includes:

[0125] CAN bus repeater is used to aggregate the sensor signals from various channels, amplify the CAN signals, and send them to the next cable, thus extending the communication distance of the CAN bus and improving the performance, reliability and security of the CAN network.

[0126] The controller part includes:

[0127] The embedded controller processes all data in the CAN bus and outputs data in industrial Ethernet format according to the communication protocol.

[0128] Since mining equipment is a large-scale special equipment, there are many types and large numbers of sensors arranged on the fuselage, it is difficult to access the equipment control box, and the equipment and maintenance process are complicated. The data acquisition device can effectively solve these problems. The purpose of the data acquisition device is to realize the fusion of multi-heterogeneous data. The signal types involved include: discrete digital signals, continuous analog signals, 485 signals, CAN signals, etc. The main components of the system include: controller, 485 communication to CAN communication module, discrete digital acquisition module, analog acquisition module, CAN bus repeater, power module, etc.

[0129] Figure 2 A in the middle shows a power module, which can transform external AC127V or AC220V to DC24V to power the embedded controller, 485 communication to CAN communication module, discrete digital quantity acquisition module, analog quantity acquisition module, CAN bus repeater and external sensors. Figure 2 The power module shown in B is able to transform the internal DC24V into DC12V to power the external sensor. Figure 2 The CAN bus repeater shown in C in the middle can connect 485 communication to CAN communication module, discrete digital quantity acquisition module, analog quantity acquisition module and other devices to the CAN bus, and send the CAN bus data to the embedded controller.

[0130] Figure 2 D in the middle shows an embedded controller, which can actively read the data in the CAN bus, convert it into industrial Ethernet data after processing and send it to the ring network. Figure 2 E in the middle shows a discrete digital quantity acquisition module, which can read multiple discrete signals and convert them into CAN data after processing; Figure 2 F in the middle shows a continuous analog quantity acquisition module, which can read multiple analog quantity signals and convert them into CAN data after processing; Figure 2 The G in the middle shows a 485 communication to CAN communication module, which can read multiple 485 signals and convert them into CAN data after processing.

[0131] The embodiment of the present invention further provides a computing device, comprising: a processor, a memory storing a computer program, wherein when the computer program is executed by the processor, the method described above is executed. All implementations in the above method embodiment are applicable to this embodiment and can achieve the same technical effect.

[0132] The embodiment of the present invention also provides a computer-readable storage medium storing instructions, which, when executed on a computer, enable the computer to execute the method described above. All implementations in the above method embodiment are applicable to this embodiment and can achieve the same technical effect.

Claims

1. A data acquisition system suitable for mining equipment, characterized in that: include: The power supply module includes an AC127V to DC24V power supply module, a DC24V to DC12V power supply module and an early warning module. The AC127V to DC24V power supply module and the DC24V to DC12V power supply module are used to power the controller, communication module, acquisition module and repeater; the early warning module is used to monitor the output voltage, current and temperature parameters of the power supply module; and judge whether the power supply status is normal through the preset threshold value; The signal conversion module includes a 485 communication to CAN communication module, which is used to convert the data of the 485 communication protocol into the data of the CAN protocol; Discrete digital quantity acquisition module, used to collect discrete data and convert it into CAN protocol data; continuous analog quantity acquisition module, used to collect analog quantity data and convert it into CAN protocol data; CAN bus repeater, which is used to aggregate the sensor signals from various channels, amplify the CAN signal and send it to the next cable to extend the communication distance of the CAN bus; The embedded controller is used to process all data in the CAN bus and output the data in the industrial Ethernet format according to the communication protocol.

2. The data acquisition system suitable for mining equipment according to claim 1, characterized in that: Monitor the output voltage, current and temperature parameters of the power module; The preset threshold is used to determine whether the power status is normal, including: Initialize the voltage, current and temperature sensors connected to the power module; According to the preset frequency, the output voltage, current and temperature data of the power module are collected through sensors; Preprocessing the collected data to obtain preprocessed data; Encoding the thresholds of voltage, current and temperature of the power module as genes of the genetic algorithm; Generate an initial population containing multiple individuals, each individual represents a set of threshold settings; Define an evaluation function for evaluating the performance of each set of threshold settings in detecting abnormal power status; According to the result of the evaluation function, the corresponding individuals are selected for crossover and mutation operations to generate a new population. The process of fitness evaluation, selection, crossover and mutation is repeated until the preset number of iterations is reached. The threshold value optimized by the genetic algorithm is applied to real-time monitoring. Compare the voltage, current and temperature data collected in real time with the optimized thresholds to determine whether the power supply status is normal.

3. The data acquisition system suitable for mining equipment according to claim 2, characterized in that: Collect analog data and convert it into CAN protocol data, including: Randomly generate an initial parameter configuration as the current solution; Randomly generate new parameter configurations as candidate solutions in the neighborhood of the current solution; According to the defined optimization goal, the performance of the current solution and the candidate solution is evaluated. If the performance of the candidate solution meets the Metropolis criterion, the candidate solution is accepted as the new current solution, and the current temperature is reduced according to the set temperature drop rate until the preset number of iterations is reached. The parameter configuration optimized by the simulated annealing algorithm is applied to the continuous analog acquisition module. Use the optimized parameters to collect analog data and convert the collected analog data into CAN protocol format.

4. The data acquisition system suitable for mining equipment according to claim 3, characterized in that: Aggregate the sensor signals, amplify the CAN signals and send them to the next cable to extend the communication distance of the CAN bus, including: Initialize the CAN bus repeater, set the corresponding baud rate and frame type; configure the filter rules of the repeater; Continuously receive CAN signals from various sensors and pre-process the received signals; The pre-processed signal is amplified and sent to the next cable segment.

5. The data acquisition system applicable to mining equipment according to claim 4, characterized in that: Process all data in the CAN bus and output data in industrial Ethernet format according to the communication protocol, including: Get the transmission data on the CAN bus and set a buffer for the transmission data; According to the CAN protocol specification, parse the received data frame and extract the valid data payload and related metadata, including frame ID and timestamp; According to the correspondence between the CAN protocol and the industrial Ethernet protocol, the mapping rules for data conversion are defined; according to the mapping rules, the CAN data is converted into the data format and structure required by the industrial Ethernet protocol; Encapsulate the converted data into a frame structure that complies with the industrial Ethernet protocol standard, and set the transmission parameters according to the configuration of the target network, including the source / destination MAC address, IP address and port number; Put the encapsulated Ethernet data frame into the sending queue and wait for sending; The data frames are sent to the industrial Ethernet through the network interface card.

6. The data acquisition system suitable for mining equipment according to claim 5, characterized in that: The calculation formula of the evaluation function is: Where T represents a specific set of threshold settings; TP(T) represents the number of samples that are actually abnormal and detected as abnormal under a given threshold T; TN(T) represents the number of samples that are actually normal and detected as normal under a given threshold T; FP(T) represents the number of samples that are actually normal but detected as abnormal under a given threshold T; FN(T) represents the number of samples that are actually abnormal but detected as normal under a given threshold T; α, β, and γ are weight coefficients; μ represents the mean of the Gaussian function, indicating the expected threshold center; σ represents the standard deviation of the Gaussian function.

7. A data collection method suitable for mining equipment, characterized in that: Applicable to the system according to any one of claims 1 to 6, comprising: The early warning module monitors the output voltage, current and temperature parameters of the power module in real time, and determines whether the power status is normal through preset thresholds; 485 communication data is converted into CAN communication data, and both discrete digital data and continuous analog data are collected and converted into CAN protocol data; The CAN bus repeater aggregates and amplifies the sensor signals and transmits them to the next cable, thereby extending the communication distance of the CAN bus. An embedded controller is used to process all data within the CAN bus and output data in an industrial Ethernet format.

8. The data collection method applicable to mining equipment according to claim 7, characterized in that: The early warning module monitors the output voltage, current and temperature parameters of the power module in real time, and determines whether the power status is normal through preset thresholds, including: Initialize the voltage, current and temperature sensors connected to the power module; Collect output voltage, current and temperature data of the power module through sensors at a preset frequency; Preprocess the collected data; Optimize the voltage, current and temperature thresholds of the power module using genetic algorithms; Define an evaluation function to evaluate the performance of each set of thresholds in power state anomaly detection; The real-time collected data is compared with the optimized threshold to determine whether the power status is normal.

9. A computing device, characterized in that include: one or more processors; A storage device for storing one or more programs, when the one or more programs are executed by the one or more processors, the one or more processors implement the method as claimed in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a program, which, when executed by a processor, implements the method according to any one of claims 1 to 7.

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