Numerical control equipment operation management system based on Internet of Things

Abstract

The invention discloses a numerical control equipment operation management system based on Internet of Things, and relates to the technical field of Internet of Things control management, the system comprises a monitoring center, the monitoring center is in communication connection with a data acquisition module, a data processing module, a state analysis module, a maintenance management module and a notification alarm module; the method comprises the following steps: acquiring operation data of an initial end node of the numerical control equipment during operation, encrypting the operation data to obtain encrypted operation data, and recording a data state of the encrypted operation data of each Internet of Things node of the numerical control equipment in a transmission process; according to the data state of the encrypted operation data of each Internet of Things node of the numerical control equipment, obtaining a data state factor of each Internet of Things node of the corresponding numerical control equipment; obtaining an equipment health index of the numerical control equipment according to the data state factor; constructing a numerical control equipment node evaluation model, obtaining a predicted node health index, and further taking management measures on numerical control equipment in advance; and the operation efficiency of numerical control equipment is greatly improved.

Description

Technical Field

[0001] The present invention relates to the technical field of Internet of Things control management, and in particular to a numerical control equipment operation management system based on the Internet of Things. Background Art

[0002] Traditionally, the operation and management of CNC equipment mainly relies on manual inspection, maintenance and adjustment. Workers need to regularly check the operating status of the equipment, clean the equipment, replace parts and adjust equipment parameters to ensure its normal operation. This traditional management method has the following problems:

[0003] 1. Reliance on manual inspection: Manual inspection consumes a lot of time and manpower, and cannot achieve real-time monitoring and remote management.

[0004] 2. Reactive maintenance: Traditional management methods are mainly based on post-maintenance, that is, maintenance is performed only when equipment fails or has problems. This can easily lead to long production line downtime and affect production efficiency.

[0005] 3. Low degree of dataization: Traditional management methods are unable to collect and analyze large-scale data and lack data-driven decision-making.

[0006] From the perspective of the Internet of Things, the operation and management of CNC equipment can be realized by connecting the equipment to the Internet, realizing information sharing and data exchange between devices, so as to achieve intelligent management and operation and maintenance. Specifically, the operation and management of CNC equipment based on the Internet of Things can bring the following advantages:

[0007] 1. Real-time monitoring and remote management: Through the Internet of Things technology, the operating status, energy consumption data, production efficiency and other information of CNC equipment can be monitored in real time, and remote access and management can be achieved. This helps to detect problems in time and take quick action to improve the reliability and operating efficiency of equipment.

[0008] 2. Data-driven decision-making: IoT technology can collect, store and analyze large amounts of data, thereby providing managers with more data support and decision-making basis. Through data analysis, potential problems can be discovered, production processes can be optimized, and predictive maintenance can be achieved, reducing maintenance costs and improving equipment availability.

[0009] 3. Automated maintenance and optimization: The CNC equipment management system based on the Internet of Things can realize automated maintenance and optimization, such as real-time monitoring of equipment health, automated alarm and fault diagnosis, and automated maintenance plan formulation. This can reduce the workload of maintenance personnel, improve response speed, and ensure the long-term stable operation of equipment.

[0010] Therefore, a numerical control equipment operation management system based on the Internet of Things is now provided. Summary of the invention

[0011] In order to solve the above technical problems, the purpose of the present invention is to provide a CNC equipment operation management system based on the Internet of Things.

[0012] In order to achieve the above-mentioned object, the present invention provides the following technical solutions: a numerical control equipment operation management system based on the Internet of Things, comprising a monitoring center, wherein the monitoring center is communicatively connected with a data acquisition module, a data processing module, a status analysis module, a maintenance management module and a notification alarm module;

[0013] The data acquisition module is used to collect the operation data of the initial end node of the numerical control equipment during operation;

[0014] The data processing module is used to perform encryption operations on the operating data, obtain encrypted operating data, and record the data status of the encrypted operating data of each IoT node of the numerical control device during the transmission process;

[0015] The state analysis module is used to obtain the data state factor of each IoT node of the corresponding numerical control device according to the data state of the encrypted operation data of each IoT node of the numerical control device;

[0016] The maintenance management module is used to obtain the equipment health index of the numerical control equipment according to the data status factor;

[0017] The notification alarm module is used to construct a numerical control equipment node evaluation model, thereby obtaining a predicted node health index, and taking management measures for the numerical control equipment in advance according to the predicted node health index.

[0018] Furthermore, the data processing module performs an encryption operation on the operation data, and the process of obtaining the encrypted operation data includes:

[0019] Performing binary conversion on the obtained operation data to obtain binary operation data;

[0020] The two-level operation data is segmented according to the segmentation rule to obtain a plurality of data blocks, and the data blocks are marked as i=1, 2, 3, ..., n, where n is a natural number;

[0021] Each data block is processed by hash security algorithm technology to generate a message authentication code for the corresponding data block, which is recorded as D i ;

[0022] Generate a corresponding and unique initialization vector for each data block and record it as V i ;

[0023] Generate a corresponding rotation offset for each data block and record it as K i , the characters in each data block are rotated according to the rotation offset Ki Move back K i Positions, characters beyond the data block boundary return to the beginning;

[0024] Reverse each character of the offset data block according to the character reversal rule to form ciphertext information;

[0025] According to the corresponding initialization vector V i , Message Authentication Code D i and ciphertext information to obtain encrypted running data.

[0026] Furthermore, the process in which the data processing module records the data status of the encrypted operation data of each IoT node of the numerical control device during the transmission process includes:

[0027] Set up a data status acquisition unit at each IoT node of the CNC equipment;

[0028] The data status acquisition unit performs a decryption operation on the encrypted operation data of the IoT node corresponding to the numerical control device, thereby obtaining the data status of the encrypted operation data.

[0029] Furthermore, the process of the data status acquisition unit decrypting the encrypted operation data of the CNC device corresponding to the IoT node includes:

[0030] Each data block is initialized according to the corresponding vector V i Perform initialization operations;

[0031] The initialized data block is reversed again according to the character reversal rule to obtain the offset data block;

[0032] According to the decrypted result, the data block is once again reversed to restore to the unencrypted data block;

[0033] Recover the offset data block and restore the offset data block according to the rotation offset K i Move forward K i Positions, get the data block after the recovery offset;

[0034] The data block after the recovery offset is processed by the secure hash algorithm to generate a new message authentication code, which is recorded as

[0035] According to the new message authentication code And the corresponding message authentication code D i Compare and obtain the data status of the encrypted running data.

[0036] Furthermore, the process of the state analysis module obtaining the data state factor of each IoT node of the corresponding numerical control device includes:

[0037] Each IoT node of the CNC equipment is marked as o=1, 2, 3, ..., m, where m is a natural number, and the data state of the encrypted operation data of each IoT node of the CNC equipment is recorded as H o ;

[0038] According to the data status H of each IoT node of the CNC equipment o , obtain the data state factor γ of the IoT node corresponding to the CNC equipment o The calculation formula is:

[0039] Among them, α is the data state deviation coefficient, H 标准 It is the standard data state.

[0040] Furthermore, the process of obtaining the equipment health index of the numerical control equipment according to the data status factor by the maintenance management module includes:

[0041] According to the obtained data status factor, the calculation formula for the equipment health index τ of the CNC equipment is:

[0042] Among them, β o is the weight coefficient of the IoT node corresponding to the CNC equipment.

[0043] Furthermore, the notification alarm module constructs a numerical control equipment node evaluation model, and the specific process of obtaining the predicted node health index includes:

[0044] Obtain device health index for several groups of historical collection cycles;

[0045] The process of constructing a training sample set based on the device health index of several groups of historical collection cycles includes:

[0046] The equipment health indexes of several groups of historical collection cycles are grouped and numbered, denoted as f=1, 2, 3, ..., p; p is a natural number;

[0047] The equipment health index of the historical collection period of group ph is used as sample data, and h is a natural number less than p, and the sample data is used to obtain the mean of the sample data, which is recorded as a sample set;

[0048] The device health index of the remaining groups of historical collection periods is used as the test set;

[0049] According to the sample set and the test set, a training sample set is formed;

[0050] Based on convolutional network neural network, a standard evaluation model is constructed;

[0051] The training sample set is input into the standard evaluation model, the standard evaluation model is trained, and the standard evaluation model after training is obtained. The standard evaluation model after training is recorded as the CNC equipment node evaluation model, and the predicted node health index is obtained according to the CNC equipment node evaluation model.

[0052] Furthermore, the specific process of the notification alarm module taking management measures for the numerical control equipment in advance according to the predicted node health index includes:

[0053] Preset the node health index threshold of each IoT node of the CNC equipment;

[0054] If the predicted node health index is greater than the corresponding node health index threshold, it means that the IoT node corresponding to the CNC equipment is abnormal, and an early warning notification alarm is generated to remind the staff to check the corresponding IoT node;

[0055] If the predicted node health index is less than or equal to the corresponding node health index threshold, it means that there is no abnormality in the IoT node corresponding to the CNC device, and thus the IoT node corresponding to the CNC device operates normally.

[0056] Compared with the prior art, the beneficial effects of the present invention are: collecting the operating data of the initial end node of the CNC equipment during operation, performing encryption operations on the operating data, obtaining encrypted operating data, and recording the data status of the encrypted operating data of each Internet of Things node of the CNC equipment during the transmission process; obtaining the data status factor of each Internet of Things node of the corresponding CNC equipment according to the data status of the encrypted operating data of each Internet of Things node of the CNC equipment; obtaining the equipment health index of the CNC equipment according to the data status factor; constructing a CNC equipment node evaluation model to obtain the predicted node health index, and then taking management measures for the CNC equipment in advance; greatly improving the operating efficiency of the CNC equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0058] Figure 1 It is a schematic diagram of the present invention. DETAILED DESCRIPTION

[0059] To make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be described in detail below. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other implementation methods obtained by ordinary technicians in this field without creative work belong to the scope of protection of the present invention.

[0060] like Figure 1 As shown, a numerical control equipment operation management system based on the Internet of Things includes a monitoring center, and the monitoring center is communicatively connected with a data acquisition module, a data processing module, a status analysis module, a maintenance management module and a notification alarm module;

[0061] The data acquisition module is used to collect the operation data of the initial end node of the numerical control equipment during operation;

[0062] The data processing module is used to perform encryption operations on the operating data, obtain encrypted operating data, and record the data status of the encrypted operating data of each IoT node of the numerical control device during the transmission process;

[0063] The state analysis module is used to obtain the data state factor of each IoT node of the corresponding numerical control device according to the data state of the encrypted operation data of each IoT node of the numerical control device;

[0064] The maintenance management module is used to obtain the equipment health index of the numerical control equipment according to the data status factor;

[0065] The notification alarm module is used to construct a numerical control equipment node evaluation model, thereby obtaining a predicted node health index, and taking management measures for the numerical control equipment in advance according to the predicted node health index.

[0066] It should be further explained that, in the specific implementation process, the specific process of the data acquisition module acquiring the operation data of the initial end node of the numerical control device during operation includes:

[0067] The data acquisition module is provided with a plurality of groups of data acquisition units and a collection cycle is set;

[0068] The data acquisition nodes are used to respectively acquire the temperature, vibration, pressure, rotation speed, current and voltage, displacement and position, lubrication state, machine tool load and tool wear of the initial end node of the numerical control equipment during operation according to the acquisition cycle;

[0069] It should be further explained that the operating data includes but is not limited to temperature, vibration, pressure, speed, current and voltage, displacement and position, lubrication status, machine tool load and tool wear.

[0070] The data acquisition module uploads the operating data to the data processing module.

[0071] It should be further explained that, in the specific implementation process, the data processing module performs an encryption operation on the operation data, and the specific process of obtaining the encrypted operation data includes:

[0072] Performing binary conversion on the obtained operation data to obtain binary operation data;

[0073] The two-level operation data is segmented according to the segmentation rule to obtain a plurality of data blocks, and the data blocks are marked as i=1, 2, 3, ..., n, where n is a natural number;

[0074] It should be further explained that the segmentation rule is to segment the binary operation data according to the order of the binary operation data and the characters of the binary operation data are of equal size;

[0075] Each data block is processed by hash security algorithm technology to generate a message authentication code for the corresponding data block, which is recorded as D i ;

[0076] It should be further explained that the message authentication code D i Used to determine whether the operating data has been tampered with during transmission, so as to improve the authenticity of the operating data;

[0077] Generate a corresponding and unique initialization vector for each data block and record it as V i ;

[0078] It should be further explained that the initialization vector V i Used to initialize data blocks to ensure that each data block is unique, so as to improve the uniqueness of running data;

[0079] Generate a corresponding rotation offset for each data block and record it as K i , the characters in each data block are rotated according to the rotation offset K i Move back K i The characters beyond the data block boundary are returned to the beginning to improve the security of the information.

[0080] Reverse each character of the offset data block according to the character reversal rule to form ciphertext information;

[0081] It should be further explained that the character reversal rule is to reverse the characters of the offset data block according to the length of three characters. When the characters of the data block are an integer multiple of three characters, they are reversed normally; when the characters of the data block are not an integer multiple of three characters, the remaining characters are not reversed;

[0082] The corresponding initialization vector V i, Message Authentication Code D i and ciphertext information into a data packet to form encrypted running data;

[0083] It should be further explained that, in the specific implementation process, the specific process of the data processing module recording the data status of the encrypted operation data of each IoT node of the numerical control device during the transmission process includes:

[0084] Set up a data status acquisition unit at each IoT node of the CNC equipment;

[0085] The data status acquisition unit performs a decryption operation on the encrypted operation data of the IoT node corresponding to the numerical control device, thereby obtaining the data status of the encrypted operation data;

[0086] It should be further explained that, in the specific implementation process, the specific process of the data status acquisition unit decrypting the encrypted operation data of the CNC device corresponding to the IoT node includes:

[0087] Each data block is initialized according to the corresponding vector V i Perform initialization operations to ensure that each data block is unique;

[0088] The initialized data block is reversed again according to the character reversal rule to obtain the offset data block;

[0089] It should be further noted that the reversal operation is to reverse the characters of each data block according to the length of three characters, and the reversal operation is also restored according to three characters. When the characters of the data block are an integer multiple of three characters, the reversal operation is performed again; when the characters of the data block are not an integer multiple of three characters, the reversal operation is performed by reading three characters each time, and the remaining characters are not reversed.

[0090] For example:

[0091] Set the string corresponding to the initialization data block to ABCDEFGHIJ;

[0092] When performing encryption operations, every three characters of the initialization data block are reversed according to the character reversal rule, and the result is CBAFEDIHGJ;

[0093] When performing the decryption operation, every three characters of the encrypted initialization data block are reversed again according to the character reversal rule, and the result is ABCDEFGHIJ;

[0094] According to the decrypted result, the data block can be restored to the unencrypted data block by reversing the operation again;

[0095] Recover the offset data block and restore the offset data block according to the rotation offset K i Move forward K i Positions, get the data block after the recovery offset;

[0096] The data block after the recovery offset is processed by the secure hash algorithm to generate a new message authentication code, which is recorded as

[0097] According to the new message authentication code And the corresponding message authentication code D i Perform comparison to obtain the data status of the encrypted operation data;

[0098] It should be further explained that if the new message authentication code And the corresponding message authentication code D i If the new message authentication code is consistent, it means that the running data has not been tampered with, that is, the data status is normal; And the corresponding message authentication code D i If there is an inconsistency, it means that the running data has been tampered with, that is, the data status is abnormal.

[0099] The data processing module uploads the data status to the status analysis module.

[0100] It should be further explained that, in the specific implementation process, the specific process of the state analysis module obtaining the data state factor of each IoT node of the corresponding numerical control device includes:

[0101] Each IoT node of the CNC equipment is marked as o=1, 2, 3, ..., m, where m is a natural number, and the data state of the encrypted operation data of each IoT node of the CNC equipment is recorded as H o ;

[0102] According to the data status H of each IoT node of the CNC equipment o , obtain the data state factor γ of the IoT node corresponding to the CNC equipment o The calculation formula is:

[0103] Among them, α is the data state deviation coefficient, H 标准 It is the standard data state.

[0104] The state analysis module uploads the obtained data state factor to the maintenance management module.

[0105] It should be further explained that, in the specific implementation process, the specific process of the maintenance management module obtaining the equipment health index of the numerical control equipment according to the data status factor includes:

[0106] According to the obtained data state factor γo , the calculation formula for the equipment health index τ of the CNC equipment is:

[0107] Among them, β o is the weight coefficient of the IoT node corresponding to the CNC equipment.

[0108] The maintenance management module uploads the equipment health index to the notification alarm module.

[0109] It should be further explained that, in the specific implementation process, the notification alarm module constructs a numerical control equipment node evaluation model, and then obtains the specific process of predicting the node health index, including:

[0110] Obtain device health index for several groups of historical collection cycles;

[0111] The specific process of constructing a training sample set based on the device health index of several groups of historical collection cycles includes:

[0112] The equipment health indexes of several groups of historical collection cycles are grouped and numbered, denoted as f=1, 2, 3, ..., p; p is a natural number;

[0113] The equipment health index of the historical collection period of group ph is used as sample data, and h is a natural number less than p, and the sample data is used to obtain the mean of the sample data, which is recorded as a sample set;

[0114] The device health index of the remaining groups of historical collection periods is used as the test set;

[0115] According to the sample set and the test set, a training sample set is formed;

[0116] Based on convolutional network neural network, a standard evaluation model is constructed;

[0117] The training sample set is input into the standard evaluation model, the standard evaluation model is trained, and the trained standard evaluation model is obtained, and the trained standard evaluation model is recorded as the numerical control device node evaluation model, and the predicted node health index is obtained according to the numerical control device node evaluation model;

[0118] It should be further explained that, in the specific implementation process, the notification alarm module takes management measures for the numerical control equipment in advance according to the predicted node health index, including:

[0119] Preset the node health index threshold of each IoT node of the CNC equipment;

[0120] If the predicted node health index is greater than the corresponding node health index threshold, it means that the IoT node corresponding to the CNC equipment is abnormal, and an early warning notification alarm is generated to remind the staff to check the corresponding IoT node;

[0121] If the predicted node health index is less than or equal to the corresponding node health index threshold, it means that there is no abnormality in the IoT node corresponding to the CNC device, and thus the IoT node corresponding to the CNC device operates normally.

[0122] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A numerical control equipment operation management system based on the Internet of Things, including a monitoring center, characterized in that: The monitoring center is communicatively connected with a data acquisition module, a data processing module, a status analysis module, a maintenance management module and a notification alarm module; The data acquisition module is used to collect the operation data of the initial end node of the numerical control equipment during operation; The data processing module is used to perform encryption operations on the operating data, obtain encrypted operating data, and record the data status of the encrypted operating data of each IoT node of the numerical control device during the transmission process; The state analysis module is used to obtain the data state factor of each IoT node of the corresponding numerical control device according to the data state of the encrypted operation data of each IoT node of the numerical control device; The maintenance management module is used to obtain the equipment health index of the numerical control equipment according to the data status factor; The notification alarm module is used to construct a numerical control equipment node evaluation model, thereby obtaining a predicted node health index, and taking management measures for the numerical control equipment in advance according to the predicted node health index.

2. According to the Internet of Things-based numerical control equipment operation management system of claim 1, it is characterized in that: The data processing module performs an encryption operation on the operation data, and the process of obtaining the encrypted operation data includes: Performing binary conversion on the obtained operation data to obtain binary operation data; The two-level operation data is segmented according to the segmentation rule to obtain a plurality of data blocks, and the data blocks are marked as i=1, 2, 3, ..., n, where n is a natural number; Each data block is processed by hash security algorithm technology to generate a message authentication code for the corresponding data block, which is recorded as D i ; Generate a corresponding and unique initialization vector for each data block and record it as V i ; Generate a corresponding rotation offset for each data block and record it as K i , the characters in each data block are rotated according to the rotation offset K i Move back K i Positions, characters beyond the data block boundary return to the beginning; Reverse each character of the offset data block according to the character reversal rule to form ciphertext information; According to the corresponding initialization vector V i , Message Authentication Code D i and ciphertext information to obtain encrypted running data.

3. According to the Internet of Things-based numerical control equipment operation management system of claim 2, it is characterized in that: The process of recording the data status of encrypted operation data of each IoT node of the numerical control device during the transmission by the data processing module includes: Set up a data status acquisition unit at each IoT node of the CNC equipment; The data status acquisition unit performs a decryption operation on the encrypted operation data of the IoT node corresponding to the numerical control device, thereby obtaining the data status of the encrypted operation data.

4. According to the Internet of Things-based numerical control equipment operation management system of claim 3, it is characterized in that: The process of the data status acquisition unit decrypting the encrypted operation data of the CNC device corresponding to the IoT node includes: Each data block is initialized according to the corresponding vector V i Perform initialization operations; The initialized data block is reversed again according to the character reversal rule to obtain the offset data block; According to the decrypted result, the data block is once again reversed to restore to the unencrypted data block; Recover the offset data block and restore the offset data block according to the rotation offset K i Move forward K i Positions, get the data block after the recovery offset; The data block after the recovery offset is processed by the secure hash algorithm to generate a new message authentication code, which is recorded as According to the new message authentication code And the corresponding message authentication code D i Compare and obtain the data status of the encrypted running data.

5. According to the Internet of Things-based numerical control equipment operation management system of claim 4, it is characterized in that: The process of the state analysis module obtaining the data state factor of each IoT node of the corresponding numerical control device includes: Each IoT node of the CNC equipment is marked as o=1, 2, 3, ..., m, where m is a natural number, and the data state of the encrypted operation data of each IoT node of the CNC equipment is recorded as H o ; According to the data status H of each IoT node of the CNC equipment o , obtain the data state factor γ of the IoT node corresponding to the CNC equipment o The calculation formula is: Among them, α is the data state deviation coefficient, H 标准 It is the standard data state.

6. The operation management system of numerical control equipment based on the Internet of Things according to claim 5 is characterized in that: The process of obtaining the equipment health index of the numerical control equipment according to the data status factor by the maintenance management module includes: According to the obtained data status factor, the calculation formula for the equipment health index τ of the CNC equipment is: Among them, β o is the weight coefficient of the IoT node corresponding to the CNC equipment.

7. The CNC equipment operation management system based on the Internet of Things according to claim 6 is characterized in that: The specific process of the notification alarm module constructing a numerical control equipment node evaluation model and then obtaining a predicted node health index includes: Obtain device health index for several groups of historical collection cycles; The process of constructing a training sample set based on the device health index of several groups of historical collection cycles includes: The equipment health indexes of several groups of historical collection cycles are grouped and numbered, denoted as f=1, 2, 3, ..., p; p is a natural number; The equipment health index of the historical collection period of group ph is used as sample data, and h is a natural number less than p, and the sample data is used to obtain the mean of the sample data, which is recorded as a sample set; The device health index of the remaining groups of historical collection periods is used as the test set; According to the sample set and the test set, a training sample set is formed; Based on convolutional network neural network, a standard evaluation model is constructed; The training sample set is input into the standard evaluation model, the standard evaluation model is trained, and the standard evaluation model after training is obtained. The standard evaluation model after training is recorded as the CNC equipment node evaluation model, and the predicted node health index is obtained according to the CNC equipment node evaluation model.

8. The CNC equipment operation management system based on the Internet of Things according to claim 7 is characterized in that: The specific process of the notification alarm module taking management measures for the numerical control equipment in advance according to the predicted node health index includes: Preset the node health index threshold of each IoT node of the CNC equipment; If the predicted node health index is greater than the corresponding node health index threshold, it means that the IoT node corresponding to the CNC equipment is abnormal, and an early warning notification alarm is generated to remind the staff to check the corresponding IoT node; If the predicted node health index is less than or equal to the corresponding node health index threshold, it means that there is no abnormality in the IoT node corresponding to the CNC device, and thus the IoT node corresponding to the CNC device operates normally.

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