A centralized device control method and system for a control center

Abstract

The application discloses a centralized device control method and system, and relates to the technical field of device control, which comprises the following steps: generating a composite identifier of a to-be-controlled device according to multiple device identifiers of the to-be-controlled device; determining state information of the to-be-controlled device based on the device state identifier after the single device identifier and the composite identifier of the to-be-controlled device are identified; selecting a control mode based on the state information of the to-be-controlled device and ideal requirements, and controlling the to-be-controlled device according to the corresponding control mode; compensating the control of the to-be-controlled device in the corresponding control mode according to the control effect; calculating the compensation effect of the to-be-controlled device in a period of time, and adjusting the compensation based on the future compensation effect. The application improves the identification accuracy and the safety of the device. The appropriate control mode is selected through the state information and the ideal requirements, and a certain compensation is performed, so that the adaptability of the centralized control and the control precision are improved, resources are saved, and the safe operation of the device is ensured.

Description

Technical Field

[0001] This application relates to the field of equipment control technology, and more specifically, to a centralized equipment control method and system. Background Technology

[0002] With the continuous development of information technology, centralized control of equipment has become one of the important means of modern industrial automation. It utilizes advanced control technology to centrally control various devices in a single location, enabling real-time monitoring and scheduling of the entire production process. The application of this technology not only improves production efficiency and reduces production costs but also ensures the safety and stability of the production process, providing strong support for enterprise development.

[0003] In existing centralized control systems, due to the large number of devices requiring control, device identification is a prerequisite for control. Most enterprises rely solely on device serial numbers, IP addresses, and other identifiers for identification, giving attackers the opportunity to tamper with these identifiers, leading to inaccurate and inaccurate device identification. Furthermore, different devices have different characteristics and control requirements, resulting in poor adaptability of existing centralized control systems, which cannot handle complex and ever-changing device conditions.

[0004] Therefore, improving the accuracy of device identification and the adaptability of centralized control are technical problems that need to be solved. Summary of the Invention

[0005] This invention provides a centralized control method for equipment, addressing the technical problems of low equipment identification accuracy and poor adaptability of centralized control in existing technologies. The method includes:

[0006] Obtain multiple device identifiers of the device to be controlled, and generate a composite identifier for the device to be controlled based on the multiple device identifiers;

[0007] Single device identification can be performed by using multiple device identifiers of the device to be controlled, and composite identification can be performed by using composite identifiers of the device to be controlled. Multiple device identifiers include device status identifiers.

[0008] After both the single device identifier and the composite identifier of the device to be controlled have been successfully identified, the status information of the device to be controlled is determined based on the device status identifier.

[0009] Receive the desired requirements of the device to be controlled, select the control mode based on the status information of the device to be controlled and the desired requirements, and control the device to be controlled according to the corresponding control mode;

[0010] The control effect of the device under control in the control mode is obtained after a period of time, and the control of the device under control in the corresponding control mode is compensated based on the control effect.

[0011] Calculate the compensation effect of the controlled equipment over a period of time, predict the future compensation effect of the controlled equipment, and adjust the compensation based on the future compensation effect.

[0012] In some embodiments of this application, a composite identifier for the controlled device is generated based on multiple device identifiers of the controlled device, including:

[0013] The various device identifiers of the device to be controlled include serial number, IP address, MAC address, and device status identifier;

[0014] The serial number, IP address, MAC address, and device status identifier are mapped to corresponding elements to obtain the first element, the second element, the third element, and the fourth element, respectively.

[0015] The fifth element is derived from the first, second, third, and fourth elements;

[0016]

[0017] Where L is the fifth element, α1 is the transformation coefficient corresponding to the first element, Q1 is the first element, α2 is the transformation coefficient jointly corresponding to the second and third elements, Q2 is the second element, Q 02 The second element is assumed to be Q3, and Q is the third element. 03 As a preset third element, α3 is the transformation coefficient corresponding to the fourth element, Q4 is the fourth element, and αQ max For α1Q1, The maximum value among α3Q4 and α3Q4, [] is the integer symbol;

[0018] A composite identifier for the device to be controlled is generated based on the fifth element.

[0019] In some embodiments of this application, single device identifier identification is performed using multiple device identifiers of the device to be controlled, and composite identifier identification is performed using composite identifiers of the device to be controlled, including:

[0020] The serial number, IP address, MAC address and device status identifier are identified sequentially. Once all are successfully identified, the result of the first identification is obtained.

[0021] Then, perform composite identification on the composite identifier. If successful, a second recognition result is obtained.

[0022] If the first identification is successful and the second identification is successful, then the identification of both single device identifiers and composite identifiers is successful.

[0023] Otherwise, the identification will fail, and both single-device identification and composite identification will be checked.

[0024] In some embodiments of this application, otherwise, the identification fails, and checks are performed on single device identifiers and composite identifiers, including:

[0025] Each equipment label is checked individually, and if any abnormalities are found, the corresponding equipment label is modified or adjusted.

[0026] The composite identifier is re-determined based on the modified or adjusted equipment identifier, and then the identification of single equipment identifiers and composite identifiers is performed.

[0027] In some embodiments of this application, the control mode is selected based on the state information of the device to be controlled and the ideal requirements, including:

[0028] The status information of the equipment to be controlled includes operating information, evaluation information, and maintenance information;

[0029] Calculate the sub-correlation degree between each type of operational information and each type of evaluation information, and determine the first total correlation degree for each type of operational information. Filter out the operational information whose first total correlation degree exceeds the first correlation degree threshold to construct the first effective operational information set.

[0030] The maintenance information includes the number of maintenance operations, the type of each fault, and the time of each maintenance operation. The sub-correlation degree of each type of operational information with each fault type and each maintenance time is calculated, and the second total correlation degree of each type of operational information is determined. Operational information with a second total correlation degree exceeding the second correlation degree threshold is filtered out to construct a second effective set of operational information.

[0031] The union of the first and second effective operating information sets is taken as the third effective operating information set;

[0032] The status level of the equipment to be controlled is determined based on the third effective operational information set, evaluation information, and maintenance information.

[0033]

[0034] Where K is the status level of the device to be controlled, δ1 is the influence weight corresponding to the operation information, n is the number of types of operation information in the third effective operation information set, and β i W represents the weight corresponding to the i-th third valid running information. i For the i-th third valid operational information, δ2 is the influence weight corresponding to the evaluation information, m is the number of evaluation information types, and γ j E represents the weight corresponding to the j-th evaluation information. j For the j-th evaluation information, k1 is the first preset constant, exp is the exponential function, b is the number of repairs, and ρ o Let t be the severity weight corresponding to the fault type in the o-th maintenance. oLet k be the maintenance time for the o-th maintenance, k2 be the second preset constant, and [] be the integer symbol;

[0035] The ideal requirement for the device to be controlled is the evaluation information under ideal conditions, and the control modes include the first control mode and the second control mode.

[0036] If the status level of the device to be controlled matches the evaluation information under the ideal state according to the preset matching relationship, then the first control mode is selected for control.

[0037] Otherwise, select the second control mode for control.

[0038] In some embodiments of this application, the device to be controlled is controlled according to a corresponding control mode, including:

[0039] The first control mode includes:

[0040] Obtain the parameter control range that matches the status level of the device to be controlled, and control the device to be controlled according to the parameter control range;

[0041] The second control mode includes:

[0042] The parameter control range is obtained based on the correspondence between evaluation information and operation information, and the equipment to be controlled is controlled according to the parameter control range.

[0043] Furthermore, in the second control mode, if the status level of the device to be controlled matches the evaluation information under the ideal state according to a preset matching relationship, the second control mode will be switched to the first control mode for control.

[0044] In some embodiments of this application, compensation is made for the control of the device to be controlled in the corresponding control mode based on the control effect, including:

[0045] Select one evaluation information from the evaluation information as the control effect. If the control effect is better than the expected control effect, no compensation is required.

[0046] Otherwise, compensation is performed on the parameter control range according to the corresponding control mode.

[0047] In some embodiments of this application, the calculation of the compensation effect of the controlled device over a period of time and the prediction of the future compensation effect of the controlled device include:

[0048]

[0049] Where P represents the compensation effect, Y1 represents the expected control effect, and Y2 represents the actual control effect;

[0050] A compensation effect curve is established based on the compensation effect of the device under control over a period of time. The compensation effect curve is divided into several sub-curves according to the time length, and the average change in the slope of each sub-curve is calculated.

[0051] The compensation effect curve is extended based on the average change in slope of each sub-curve and the time sequence to obtain the future compensation effect curve, thereby predicting the future compensation effect of the controlled equipment.

[0052] In some embodiments of this application, the compensation is adjusted based on future compensation effects, including:

[0053] Based on the control mode, a standard line for the compensation effect is drawn on the future compensation effect curve, and the compensation amount is adjusted according to the deviation between the standard line and the future compensation effect curve.

[0054] Correspondingly, this application also provides a centralized control system for equipment, the system comprising:

[0055] The generation module is used to obtain multiple device identifiers of the device to be controlled, and generate a composite identifier of the device to be controlled based on the multiple device identifiers.

[0056] The identification module is used to identify a single device identifier through multiple device identifiers of the device to be controlled, and to identify a composite identifier through a composite identifier of the device to be controlled. The multiple device identifiers include device status identifiers.

[0057] The determination module is used to determine the status information of the device to be controlled based on the device status identifier after both the single device identifier and the composite identifier of the device to be controlled have been successfully identified.

[0058] The selection module is used to receive the ideal requirements of the device to be controlled, select the control mode based on the status information of the device to be controlled and the ideal requirements, and control the device to be controlled according to the corresponding control mode.

[0059] The compensation module is used to obtain the control effect of the device under control after a period of time in the control mode, and to compensate the control of the device under control in the corresponding control mode based on the control effect.

[0060] The prediction module is used to calculate the compensation effect of the controlled equipment over a period of time, predict the future compensation effect of the controlled equipment, and adjust the compensation based on the future compensation effect.

[0061] By applying the above technical solutions, multiple device identifiers of the device to be controlled are obtained, and a composite identifier of the device to be controlled is generated based on these identifiers. Single device identifiers are identified using the multiple device identifiers, and composite identifiers are identified using the composite identifier. These multiple device identifiers include device status identifiers. After successful identification of both single and composite identifiers, the status information of the device to be controlled is determined based on the device status identifier. Ideal requirements of the device to be controlled are received, and a control mode is selected based on the device's status information and ideal requirements. The device is then controlled according to the corresponding control mode. The control effect of the device under control for a period of time is obtained, and compensation is applied to the control of the device under control in the corresponding control mode based on the control effect. The compensation effect of the device under control over a period of time is calculated, and the future compensation effect is predicted. The compensation is then adjusted based on the future compensation effect. This application uses multiple device identifiers and composite identifiers to identify devices, thereby improving the accuracy of device identification and device security. By selecting a suitable control mode based on status information and ideal requirements, and applying certain compensations, the adaptability and accuracy of centralized control are improved, resources are saved, and the safe operation of the equipment is ensured. Attached Figure Description

[0062] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0063] Figure 1 A flowchart illustrating a centralized control method for equipment proposed in an embodiment of the present invention is shown.

[0064] Figure 2 A schematic diagram of a centralized equipment control system proposed in an embodiment of the present invention is shown. Detailed Implementation

[0065] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0066] This application provides a centralized control method for equipment, such as... Figure 1 As shown, the method includes the following steps:

[0067] Step S101: Obtain multiple device identifiers of the device to be controlled, and generate a composite identifier of the device to be controlled based on the multiple device identifiers of the device to be controlled;

[0068] Step S102: Single device identifier identification is performed through multiple device identifiers of the device to be controlled, and composite identifier identification is performed through composite identifiers of the device to be controlled. The multiple device identifiers include device status identifiers.

[0069] Step S103: After the identification of both the single device identifier and the composite identifier of the device to be controlled is passed, the status information of the device to be controlled is determined based on the device status identifier.

[0070] Step S104: Receive the ideal requirements of the device to be controlled, select a control mode based on the status information of the device to be controlled and the ideal requirements, and control the device to be controlled according to the corresponding control mode;

[0071] Step S105: Obtain the control effect of the device to be controlled after a period of time in the control mode, and compensate the control of the device to be controlled in the corresponding control mode according to the control effect.

[0072] Step S106: Calculate the compensation effect of the controlled equipment over a period of time, predict the future compensation effect of the controlled equipment, and adjust the compensation based on the future compensation effect.

[0073] In this embodiment, the device status identifier is added to the composite identifier to improve the identification security of the device identifier.

[0074] In this embodiment, the device status identifier is associated with the device's status information in order to obtain the specific situation of the device to be controlled.

[0075] The beneficial effects of the above scheme are:

[0076] The security and reliability of equipment identification are improved by using single-device identification and composite identification. The control mode is selected based on the status information of the equipment to be controlled and the ideal requirements to improve the adaptability of the control. The control is optimized to a certain extent by using control effect and compensation effect to ensure the precision and accuracy of the control.

[0077] In some embodiments of the centralized control method for equipment in this application, a composite identifier for the device to be controlled is generated based on multiple device identifiers of the device to be controlled, including:

[0078] The various device identifiers of the device to be controlled include serial number, IP address, MAC address, and device status identifier;

[0079] The serial number, IP address, MAC address, and device status identifier are mapped to corresponding elements to obtain the first element, the second element, the third element, and the fourth element, respectively.

[0080] The fifth element is derived from the first, second, third, and fourth elements;

[0081]

[0082] Where L is the fifth element, α1 is the transformation coefficient corresponding to the first element, Q1 is the first element, α2 is the transformation coefficient jointly corresponding to the second and third elements, Q2 is the second element, Q 02 The second element is assumed to be Q3, and Q is the third element. 03 As a preset third element, α3 is the transformation coefficient corresponding to the fourth element, Q4 is the fourth element, and αQ max For α1Q1, The maximum value among α3Q4 and α3Q4, [] is the integer symbol;

[0083] A composite identifier for the device to be controlled is generated based on the fifth element.

[0084] In this embodiment, the serial number is a unique identifier assigned during device manufacturing, typically specified by the device manufacturer. The serial number is usually stored in the device's firmware or chip and is not easily changed. The IP address is a unique identifier for the device on the internet and can be used to locate the device on the network. The MAC address is a unique identifier for the device's network interface card and can be used to address and identify the device on a local area network. The device status identifier is an identifier indicating the device's current state.

[0085] In this embodiment, the serial number, IP address, MAC address and device status identifier each have a corresponding mapping element. The mapping relationship is bijective, that is, each identifier has only one corresponding mapping element.

[0086] In this embodiment, the first element, the second element, the third element, the fourth element, and the fifth element can all be numerical values.

[0087] In this embodiment, both the second and third elements are network identifiers. Therefore, an α2 is used to represent the conversion coefficient that corresponds to both the second and third elements. It is the average of the second and third elements.

[0088] In this embodiment, a composite identifier for the device to be controlled is generated based on the fifth element, and different fifth element intervals correspond to different composite identifiers.

[0089] In some embodiments of this application, single device identifier identification is performed using multiple device identifiers of the device to be controlled, and composite identifier identification is performed using composite identifiers of the device to be controlled, including:

[0090] The serial number, IP address, MAC address and device status identifier are identified sequentially. Once all are successfully identified, the result of the first identification is obtained.

[0091] Then, perform composite identification on the composite identifier. If successful, a second recognition result is obtained.

[0092] If the first identification is successful and the second identification is successful, then the identification of both single device identifiers and composite identifiers is successful.

[0093] Otherwise, the identification will fail, and both single-device identification and composite identification will be checked.

[0094] In this embodiment, the first successful identification result and the second successful identification result indicate that both the single device identifier and the composite identifier have been successfully identified, and the device identification is complete.

[0095] In some embodiments of this application, otherwise, the identification fails, and checks are performed on single device identifiers and composite identifiers, including:

[0096] Each equipment label is checked individually, and if any abnormalities are found, the corresponding equipment label is modified or adjusted.

[0097] The composite identifier is re-determined based on the modified or adjusted equipment identifier, and then the identification of single equipment identifiers and composite identifiers is performed.

[0098] In this embodiment, whether it is a single device identifier recognition failure or a composite identifier recognition failure, it indicates that the single device identifier is incorrect. Therefore, it is necessary to check each device identifier one by one. The check may involve some related network security technologies to detect the identifiers tampered with by attackers.

[0099] The beneficial effects of the above scheme are:

[0100] By mapping multiple device identifiers to obtain multiple mapping elements, a composite identifier is calculated. The identity of a device is verified by using both a single device identifier and the composite identifier, thereby improving the security and reliability of device identification.

[0101] In some embodiments of the centralized control method for equipment disclosed in this application, a control mode is selected based on the state information of the equipment to be controlled and the desired requirements, including:

[0102] The status information of the equipment to be controlled includes operating information, evaluation information, and maintenance information;

[0103] Calculate the sub-correlation degree between each type of operational information and each type of evaluation information, and determine the first total correlation degree for each type of operational information. Filter out the operational information whose first total correlation degree exceeds the first correlation degree threshold to construct the first effective operational information set.

[0104] The maintenance information includes the number of maintenance operations, the type of each fault, and the time of each maintenance operation. The sub-correlation degree of each type of operational information with each fault type and each maintenance time is calculated, and the second total correlation degree of each type of operational information is determined. Operational information with a second total correlation degree exceeding the second correlation degree threshold is filtered out to construct a second effective set of operational information.

[0105] The union of the first and second effective operating information sets is taken as the third effective operating information set;

[0106] The status level of the equipment to be controlled is determined based on the third effective operational information set, evaluation information, and maintenance information.

[0107]

[0108] Where K is the status level of the device to be controlled, δ1 is the influence weight corresponding to the operation information, n is the number of types of operation information in the third effective operation information set, and β i W represents the weight corresponding to the i-th third valid running information. i For the i-th third valid operational information, δ2 is the influence weight corresponding to the evaluation information, m is the number of evaluation information types, and γ j E represents the weight corresponding to the j-th evaluation information. j For the j-th evaluation information, k1 is the first preset constant, exp is the exponential function, b is the number of repairs, and ρ o Let t be the severity weight corresponding to the fault type in the o-th maintenance. o Let k be the maintenance time for the o-th maintenance, k2 be the second preset constant, and [] be the integer symbol;

[0109] The ideal requirement for the device to be controlled is the evaluation information under ideal conditions, and the control modes include the first control mode and the second control mode.

[0110] If the status level of the device to be controlled matches the evaluation information under the ideal state according to the preset matching relationship, then the first control mode is selected for control.

[0111] Otherwise, select the second control mode for control.

[0112] In this embodiment, the operating information is the operating parameters of the equipment such as voltage, current, and temperature; the evaluation information is the evaluation parameters of the equipment such as working efficiency and energy consumption; and the maintenance information is the maintenance-related data such as the number of maintenance operations, the type of each fault, and the time of each maintenance operation.

[0113] It should be noted that in this step, the operating information is the current data of the equipment, the evaluation information is the equipment data corresponding to the operating information, and the maintenance information is all past and present data.

[0114] In this embodiment, the sub-correlation degree between each type of operational information and each type of evaluation information is calculated, and the first total correlation degree for each type of operational information is determined. For example, the correlation degree between current and evaluation information, which includes efficiency and energy consumption, is calculated. The correlation degree (sub-correlation degree) between current and effect and energy consumption is calculated respectively, thereby obtaining the total correlation degree (first total correlation degree). The process for the second total correlation degree is similar.

[0115] In this embodiment, the union of the first and second valid operational information sets is taken as the third valid operational information set. In practical terms, the first valid operational information set represents the types of operational information filtered from the evaluation information, and the second valid operational information set represents the types of operational information filtered from the maintenance information. The union of the two represents the types of operational information shared by both maintenance and evaluation information. Because both evaluation and maintenance information affect the equipment's state, filtering out the valid operational information (the third valid operational information set) facilitates the subsequent determination of the equipment's state level.

[0116] In this embodiment, the higher the status level of the device to be controlled, the better the current status of the device. This indicates the correction to the sum of the impacts of maintenance on operational and evaluation information. The value ranges from 0.1 to 0.24.

[0117] In this embodiment, a higher state level of the controlled device indicates that the ideal requirements are easier to achieve, while a lower state level indicates that the ideal requirements cannot be achieved. If the state level of the controlled device matches the evaluation information under the ideal state according to a preset matching relationship, it means that the current device state can achieve the ideal requirements, and control in the first control mode is initiated. Otherwise, control in the second control mode is initiated.

[0118] It should be noted that the preset matching relationship between the state level and the evaluation information under the ideal state means that different state levels correspond to different ranges of evaluation information, and the matching relationship is satisfied if they are in accordance with the requirements.

[0119] In some embodiments of this application, the device to be controlled is controlled according to a corresponding control mode, including:

[0120] The first control mode includes:

[0121] Obtain the parameter control range that matches the status level of the device to be controlled, and control the device to be controlled according to the parameter control range;

[0122] The second control mode includes:

[0123] The parameter control range is obtained based on the correspondence between evaluation information and operation information, and the equipment to be controlled is controlled according to the parameter control range.

[0124] Furthermore, in the second control mode, if the status level of the device to be controlled matches the evaluation information under the ideal state according to a preset matching relationship, the second control mode will be switched to the first control mode for control.

[0125] In this embodiment, in the first control mode, control is performed according to the parameter control range corresponding to the state level of the device to be controlled.

[0126] In this embodiment, in the second control mode, since the state level cannot achieve the ideal requirement, the evaluation information is controlled to be as close as possible to the ideal requirement. That is, the parameter control range is obtained based on the correspondence between the evaluation information and the operating information, and then controlled accordingly. This means that different changes in operating information have different effects on the evaluation information; the operating parameters are controlled within a reasonable range to avoid exceeding that range, thereby obtaining the parameter control range.

[0127] It should be noted that there may be some overlap between parameter control and operation information, but this will not affect equipment control.

[0128] The beneficial effects of the above scheme are:

[0129] The status level of the equipment is determined by analyzing operational, evaluation, and maintenance information. This helps determine whether the status level matches the ideal requirements, allowing for the selection of the appropriate control mode to improve the adaptability of equipment control and ensure efficient and safe operation.

[0130] In some embodiments of the centralized control method for equipment disclosed in this application, compensation is performed on the control of the equipment to be controlled in the corresponding control mode based on the control effect, including:

[0131] Select one evaluation information from the evaluation information as the control effect. If the control effect is better than the expected control effect, no compensation is required.

[0132] Otherwise, compensation is performed on the parameter control range according to the corresponding control mode.

[0133] In this embodiment, the expected control effect is determined by the duration of the control of the device to be controlled and the control mode.

[0134] In this embodiment, compensating for the parameter control range according to the corresponding control mode means adjusting the size of the parameter control range according to the control mode.

[0135] In some embodiments of this application, the calculation of the compensation effect of the controlled device over a period of time and the prediction of the future compensation effect of the controlled device include:

[0136]

[0137] Where P represents the compensation effect, Y1 represents the expected control effect, and Y2 represents the actual control effect;

[0138] A compensation effect curve is established based on the compensation effect of the device under control over a period of time. The compensation effect curve is divided into several sub-curves according to the time length, and the average change in the slope of each sub-curve is calculated.

[0139] The compensation effect curve is extended based on the average change in slope of each sub-curve and the time sequence to obtain the future compensation effect curve, thereby predicting the future compensation effect of the controlled equipment.

[0140] In some additional embodiments of this application, the formula is improved to enhance the accuracy of the compensation effect calculation.

[0141]

[0142] Where exp is the exponential function, V1 is the influence of the dynamic response speed of the centralized control center system, V2 is the influence of measurement error and noise, V3 is the influence of external interference and load change, V4 is the normal influence of the sum of the three, and k3 is the third preset constant.

[0143] This indicates the adjustment of the original compensation effect by the above factors.

[0144] In some embodiments of this application, the compensation is adjusted based on future compensation effects, including:

[0145] Based on the control mode, a standard line for the compensation effect is drawn on the future compensation effect curve, and the compensation amount is adjusted according to the deviation between the standard line and the future compensation effect curve.

[0146] In this embodiment, the standard line for compensation effect is a horizontal line, and both the compensation effect curve and the future compensation effect curve are relationship curves with time on the horizontal axis and compensation effect on the vertical axis.

[0147] In this embodiment, the compensation amount (adjustment amount of the parameter control range) is adjusted based on the deviation between the compensation effect standard line and the future compensation effect curve.

[0148] By applying the above technical solutions, multiple device identifiers of the device to be controlled are obtained, and a composite identifier of the device to be controlled is generated based on these identifiers. Single device identifiers are identified using the multiple device identifiers, and composite identifiers are identified using the composite identifier. These multiple device identifiers include device status identifiers. After successful identification of both single and composite identifiers, the status information of the device to be controlled is determined based on the device status identifier. Ideal requirements of the device to be controlled are received, and a control mode is selected based on the device's status information and ideal requirements. The device is then controlled according to the corresponding control mode. The control effect of the device under control for a period of time is obtained, and compensation is applied to the control of the device under control in the corresponding control mode based on the control effect. The compensation effect of the device under control over a period of time is calculated, and the future compensation effect is predicted. The compensation is then adjusted based on the future compensation effect. This application uses multiple device identifiers and composite identifiers to identify devices, thereby improving the accuracy of device identification and device security. By selecting a suitable control mode based on status information and ideal requirements, and applying certain compensations, the adaptability and accuracy of centralized control are improved, resources are saved, and the safe operation of the equipment is ensured.

[0149] Through the above description of the embodiments, those skilled in the art can clearly understand that the present invention can be implemented in hardware or by means of software plus necessary general-purpose hardware platforms. Based on this understanding, the technical solution of the present invention can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (such as a CD-ROM, USB flash drive, external hard drive, etc.) and includes several instructions to cause a computer device (such as a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments of the present invention.

[0150] To further illustrate the technical concept of this invention, the technical solution of this invention will now be described in conjunction with specific application scenarios.

[0151] Correspondingly, this application also provides a centralized control system for equipment, such as... Figure 2 As shown, the system includes:

[0152] The generation module 201 is used to obtain multiple device identifiers of the device to be controlled, and generate a composite identifier of the device to be controlled based on the multiple device identifiers of the device to be controlled;

[0153] The identification module 202 is used to identify a single device identifier through multiple device identifiers of the device to be controlled, and to identify a composite identifier through a composite identifier of the device to be controlled. The multiple device identifiers include device status identifiers.

[0154] The determination module 203 is used to determine the status information of the device to be controlled based on the device status identifier after both the single device identifier and the composite identifier of the device to be controlled have been successfully identified.

[0155] Selection module 204 is used to receive the ideal requirements of the device to be controlled, select the control mode based on the status information of the device to be controlled and the ideal requirements, and control the device to be controlled according to the corresponding control mode.

[0156] The compensation module 205 is used to obtain the control effect of the device to be controlled after a period of time in the control mode, and to compensate the control of the device to be controlled in the corresponding control mode according to the control effect.

[0157] The prediction module 206 is used to calculate the compensation effect of the controlled equipment over a period of time, predict the future compensation effect of the controlled equipment, and adjust the compensation based on the future compensation effect.

[0158] In some embodiments of this application, the generation module 201 is used for:

[0159] The various device identifiers of the device to be controlled include serial number, IP address, MAC address, and device status identifier;

[0160] The serial number, IP address, MAC address, and device status identifier are mapped to corresponding elements to obtain the first element, the second element, the third element, and the fourth element, respectively.

[0161] The fifth element is derived from the first, second, third, and fourth elements;

[0162]

[0163] Where L is the fifth element, α1 is the transformation coefficient corresponding to the first element, Q1 is the first element, α2 is the transformation coefficient jointly corresponding to the second and third elements, Q2 is the second element, Q 02 The second element is assumed to be Q3, and Q is the third element. 03 As a preset third element, α3 is the transformation coefficient corresponding to the fourth element, Q4 is the fourth element, and αQ max For α1Q1, The maximum value among α3Q4 and α3Q4, [] is the integer symbol;

[0164] A composite identifier for the device to be controlled is generated based on the fifth element.

[0165] In some embodiments of this application, the identification module 202 is used for:

[0166] The serial number, IP address, MAC address and device status identifier are identified sequentially. Once all are successfully identified, the result of the first identification is obtained.

[0167] Then, perform composite identification on the composite identifier. If successful, a second recognition result is obtained.

[0168] If the first identification is successful and the second identification is successful, then the identification of both single device identifiers and composite identifiers is successful.

[0169] Otherwise, the identification will fail, and both single-device identification and composite identification will be checked.

[0170] In some embodiments of this application, the identification module 202 is used for:

[0171] Each equipment label is checked individually, and if any abnormalities are found, the corresponding equipment label is modified or adjusted.

[0172] The composite identifier is re-determined based on the modified or adjusted equipment identifier, and then the identification of single equipment identifiers and composite identifiers is performed.

[0173] In some embodiments of this application, the selection module 204 is used for:

[0174] The status information of the equipment to be controlled includes operating information, evaluation information, and maintenance information;

[0175] Calculate the sub-correlation degree between each type of operational information and each type of evaluation information, and determine the first total correlation degree for each type of operational information. Filter out the operational information whose first total correlation degree exceeds the first correlation degree threshold to construct the first effective operational information set.

[0176] The maintenance information includes the number of maintenance operations, the type of each fault, and the time of each maintenance operation. The sub-correlation degree of each type of operational information with each fault type and each maintenance time is calculated, and the second total correlation degree of each type of operational information is determined. Operational information with a second total correlation degree exceeding the second correlation degree threshold is filtered out to construct a second effective set of operational information.

[0177] The union of the first and second effective operating information sets is taken as the third effective operating information set;

[0178] The status level of the equipment to be controlled is determined based on the third effective operational information set, evaluation information, and maintenance information.

[0179]

[0180] Where K is the status level of the device to be controlled, δ1 is the influence weight corresponding to the operation information, n is the number of types of operation information in the third effective operation information set, and β i W represents the weight corresponding to the i-th third valid running information. iFor the i-th third valid operational information, δ2 is the influence weight corresponding to the evaluation information, m is the number of evaluation information types, and γ j E represents the weight corresponding to the j-th evaluation information. j For the j-th evaluation information, k1 is the first preset constant, exp is the exponential function, b is the number of repairs, and ρ o Let t be the severity weight corresponding to the fault type in the o-th maintenance. o Let k be the maintenance time for the o-th maintenance, k2 be the second preset constant, and [] be the integer symbol;

[0181] The ideal requirement for the device to be controlled is the evaluation information under ideal conditions, and the control modes include the first control mode and the second control mode.

[0182] If the status level of the device to be controlled matches the evaluation information under the ideal state according to the preset matching relationship, then the first control mode is selected for control.

[0183] Otherwise, select the second control mode for control.

[0184] In some embodiments of this application, the selection module 204 is used for:

[0185] The first control mode includes:

[0186] Obtain the parameter control range that matches the status level of the device to be controlled, and control the device to be controlled according to the parameter control range;

[0187] The second control mode includes:

[0188] The parameter control range is obtained based on the correspondence between evaluation information and operation information, and the equipment to be controlled is controlled according to the parameter control range.

[0189] Furthermore, in the second control mode, if the status level of the device to be controlled matches the evaluation information under the ideal state according to a preset matching relationship, the second control mode will be switched to the first control mode for control.

[0190] In some embodiments of this application, the compensation module 205 is used for:

[0191] Select one evaluation information from the evaluation information as the control effect. If the control effect is better than the expected control effect, no compensation is required.

[0192] Otherwise, compensation is performed on the parameter control range according to the corresponding control mode.

[0193] In some embodiments of this application, the prediction module 206 is used for:

[0194]

[0195] Where P represents the compensation effect, Y1 represents the expected control effect, and Y2 represents the actual control effect;

[0196] A compensation effect curve is established based on the compensation effect of the device under control over a period of time. The compensation effect curve is divided into several sub-curves according to the time length, and the average change in the slope of each sub-curve is calculated.

[0197] The compensation effect curve is extended based on the average change in slope of each sub-curve and the time sequence to obtain the future compensation effect curve, thereby predicting the future compensation effect of the controlled equipment.

[0198] In some embodiments of this application, the prediction module 206 is used for:

[0199] Based on the control mode, a standard line for the compensation effect is drawn on the future compensation effect curve, and the compensation amount is adjusted according to the deviation between the standard line and the future compensation effect curve.

[0200] Those skilled in the art will understand that the modules in the system of the implementation scenario can be distributed throughout the system of the implementation scenario as described, or they can be modified to reside in one or more systems different from this implementation scenario. The modules of the above-mentioned implementation scenario can be merged into one module, or they can be further divided into multiple sub-modules.

[0201] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application.

Claims

1. A centralized control method for equipment, characterized in that, The method includes: Obtain multiple device identifiers of the device to be controlled, and generate a composite identifier for the device to be controlled based on the multiple device identifiers; Single device identification can be performed by using multiple device identifiers of the device to be controlled, and composite identification can be performed by using composite identifiers of the device to be controlled. Multiple device identifiers include device status identifiers. After both the single device identifier and the composite identifier of the device to be controlled have been successfully identified, the status information of the device to be controlled is determined based on the device status identifier. Receive the desired requirements of the device to be controlled, select the control mode based on the status information of the device to be controlled and the desired requirements, and control the device to be controlled according to the corresponding control mode; The control effect of the device under control in the control mode is obtained after a period of time, and the control of the device under control in the corresponding control mode is compensated based on the control effect. Calculate the compensation effect of the controlled equipment over a period of time, predict the future compensation effect of the controlled equipment, and adjust the compensation based on the future compensation effect; The control mode is selected based on the status information of the device to be controlled and the ideal requirements, including: The status information of the equipment to be controlled includes operating information, evaluation information, and maintenance information; Calculate the sub-correlation degree between each type of operational information and each type of evaluation information, and determine the first total correlation degree for each type of operational information. Filter out the operational information whose first total correlation degree exceeds the first correlation degree threshold to construct the first effective operational information set. The maintenance information includes the number of maintenance operations, the type of each fault, and the time of each maintenance operation. The sub-correlation degree of each type of operational information with each fault type and each maintenance time is calculated, and the second total correlation degree of each type of operational information is determined. Operational information with a second total correlation degree exceeding the second correlation degree threshold is filtered out to construct a second effective set of operational information. The union of the first and second effective operating information sets is taken as the third effective operating information set; The status level of the equipment to be controlled is determined based on the third effective operational information set, evaluation information, and maintenance information. ； Where K represents the status level of the device to be controlled. Here, n represents the influence weight corresponding to the operational information, and n is the number of types of operational information in the third set of effective operational information. The weight corresponding to the i-th third valid running information. For the i-th third valid running information, The evaluation information represents the influence weight, where m is the number of evaluation information types. The weight corresponding to the j-th evaluation information is... For the j-th evaluation information, Let be the first preset constant, exp be the exponential function, and b be the number of repairs. The severity weight is the value corresponding to the fault type in the o-th maintenance. The repair time for the 0th repair is... This is the second preset constant, and [] is the rounding symbol; The ideal requirement for the device to be controlled is the evaluation information under ideal conditions, and the control modes include the first control mode and the second control mode. If the status level of the device to be controlled matches the evaluation information under the ideal state according to the preset matching relationship, then the first control mode is selected for control. Otherwise, select the second control mode for control.

2. The centralized control method for equipment as described in claim 1, characterized in that, And generate a composite identifier for the device to be controlled based on multiple device identifiers, including: The various device identifiers of the device to be controlled include serial number, IP address, MAC address, and device status identifier; The serial number, IP address, MAC address, and device status identifier are mapped to corresponding elements to obtain the first element, the second element, the third element, and the fourth element, respectively. The fifth element is derived from the first, second, third, and fourth elements; ； Where L is the fifth element, The conversion factor is the one corresponding to the first element. As the first element, The conversion coefficients are the common conversion coefficients for the second and third elements. As the second element, Preset the second element, As the third element, As a preset third element, The conversion factor corresponding to the fourth element. As the fourth element, for , and The maximum value among the three, [] is the integer part; A composite identifier for the device to be controlled is generated based on the fifth element.

3. The centralized control method for equipment as described in claim 2, characterized in that, Single-device identification can be performed using multiple device identifiers of the device to be controlled, and composite identification can be performed using composite identifiers of the device to be controlled, including: The serial number, IP address, MAC address and device status identifier are identified sequentially. Once all are successfully identified, the result of the first identification is obtained. Then, perform composite identification on the composite identifier. If successful, a second recognition result is obtained. If the first identification is successful and the second identification is successful, then the identification of both single device identifiers and composite identifiers is successful. Otherwise, the identification will fail, and both single-device identification and composite identification will be checked.

4. The centralized control method for equipment as described in claim 3, characterized in that, Otherwise, the identification fails, and single-item identification and composite identification are checked, including: Each equipment label is checked individually, and if any abnormalities are found, the corresponding equipment label is modified or adjusted. The composite identifier is re-determined based on the modified or adjusted equipment identifier, and then the identification of single equipment identifiers and composite identifiers is performed.

5. The centralized control method for equipment as described in claim 1, characterized in that, And control the device to be controlled according to the corresponding control mode, including: The first control mode includes: Obtain the parameter control range that matches the status level of the device to be controlled, and control the device to be controlled according to the parameter control range; The second control mode includes: The parameter control range is obtained based on the correspondence between evaluation information and operation information, and the equipment to be controlled is controlled according to the parameter control range. Furthermore, in the second control mode, if the status level of the device to be controlled matches the evaluation information under the ideal state according to a preset matching relationship, the second control mode will be switched to the first control mode for control.

6. The centralized control method for equipment as described in claim 5, characterized in that, Based on the control effect, compensation is made for the control of the device to be controlled in the corresponding control mode, including: Select one evaluation information from the evaluation information as the control effect. If the control effect is better than the expected control effect, no compensation is required. Otherwise, compensation is performed on the parameter control range according to the corresponding control mode.

7. The centralized control method for equipment as described in claim 1, characterized in that, Calculate the compensation effect of the controlled equipment over a period of time, and predict the future compensation effect of the controlled equipment, including: ； Where P represents the compensation effect. To achieve the desired control effect, For actual control effect; A compensation effect curve is established based on the compensation effect of the device under control over a period of time. The compensation effect curve is divided into several sub-curves according to the time length, and the average change in the slope of each sub-curve is calculated. The compensation effect curve is extended based on the average change in slope of each sub-curve and the time sequence to obtain the future compensation effect curve, thereby predicting the future compensation effect of the controlled equipment.

8. The centralized control method for equipment as described in claim 7, characterized in that, The compensation will be adjusted based on the future effects of the compensation, including: Based on the control mode, a standard line for the compensation effect is drawn on the future compensation effect curve, and the compensation amount is adjusted according to the deviation between the standard line and the future compensation effect curve.

9. A centralized control system for equipment, characterized in that, The system includes: The generation module is used to obtain multiple device identifiers of the device to be controlled, and generate a composite identifier of the device to be controlled based on the multiple device identifiers. The identification module is used to identify a single device identifier through multiple device identifiers of the device to be controlled, and to identify a composite identifier through a composite identifier of the device to be controlled. The multiple device identifiers include device status identifiers. The determination module is used to determine the status information of the device to be controlled based on the device status identifier after both the single device identifier and the composite identifier of the device to be controlled have been successfully identified. The selection module is used to receive the ideal requirements of the device to be controlled, select the control mode based on the status information of the device to be controlled and the ideal requirements, and control the device to be controlled according to the corresponding control mode. The compensation module is used to obtain the control effect of the device under control after a period of time in the control mode, and to compensate the control of the device under control in the corresponding control mode based on the control effect. The prediction module is used to calculate the compensation effect of the controlled equipment over a period of time, predict the future compensation effect of the controlled equipment, and adjust the compensation based on the future compensation effect. The control mode is selected based on the status information of the device to be controlled and the ideal requirements, including: The status information of the equipment to be controlled includes operating information, evaluation information, and maintenance information; Calculate the sub-correlation degree between each type of operational information and each type of evaluation information, and determine the first total correlation degree for each type of operational information. Filter out the operational information whose first total correlation degree exceeds the first correlation degree threshold to construct the first effective operational information set. The maintenance information includes the number of maintenance operations, the type of each fault, and the time of each maintenance operation. The sub-correlation degree of each type of operational information with each fault type and each maintenance time is calculated, and the second total correlation degree of each type of operational information is determined. Operational information with a second total correlation degree exceeding the second correlation degree threshold is filtered out to construct a second effective set of operational information. The union of the first and second effective operating information sets is taken as the third effective operating information set; The status level of the equipment to be controlled is determined based on the third effective operational information set, evaluation information, and maintenance information. ； Where K represents the status level of the device to be controlled. Here, n represents the influence weight corresponding to the operational information, and n is the number of types of operational information in the third set of effective operational information. The weight corresponding to the i-th third valid running information. For the i-th third valid running information, The evaluation information represents the influence weight, where m is the number of evaluation information types. The weight corresponding to the j-th evaluation information is... For the j-th evaluation information, Let be the first preset constant, exp be the exponential function, and b be the number of repairs. The severity weight is the value corresponding to the fault type in the o-th maintenance. The repair time for the 0th repair is... This is the second preset constant, and [] is the rounding symbol; The ideal requirement for the device to be controlled is the evaluation information under ideal conditions, and the control modes include the first control mode and the second control mode. If the status level of the device to be controlled matches the evaluation information under the ideal state according to the preset matching relationship, then the first control mode is selected for control. Otherwise, select the second control mode for control.

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