CN117894134A - Automatic generation and display method and system for alarm assembly based on AI large model - Google Patents
Automatic generation and display method and system for alarm assembly based on AI large model Download PDFInfo
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Abstract
The invention provides an automatic generation and display method and system for an alarm assembly based on an AI large model, wherein the method comprises the following steps: receiving an alarm instruction sent by target equipment; analyzing the alarm instruction to determine the equipment identification and the current abnormal data of the target equipment; constructing query information based on the equipment identifier and the abnormal data, and processing the query information to generate a componentized processing flow aiming at the alarm instruction, wherein the componentized processing flow comprises one or more operable control keys; and acquiring the processing information issued by the componentization processing flow, and releasing the alarm instruction after checking the correctness of the processing information. The technical scheme provided by the invention can intelligently guide personnel to solve abnormal conditions.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to an automatic generation and display method and system for an alarm assembly based on an AI large model.
Background
At present, when an alarm processing is performed on a device cluster, an alarm strategy is usually pre-written in a device by a device side, and when abnormal data occurs in the device, the alarm strategy sounds an alarm.
However, the current alarm process generally only has an alarm function, and then when determining the reason of the alarm, the alarm still needs to be analyzed by experienced personnel. Obviously, the alarm mode can not directly guide a user to solve abnormal conditions, and does not have the capability of problem investigation and solution.
Disclosure of Invention
The invention provides an automatic generation and display method and system for an alarm assembly based on an AI large model, which can intelligently guide personnel to solve abnormal conditions.
In view of this, the present invention provides a method for automatically generating and displaying an alarm component based on an AI large model, the method comprising:
receiving an alarm instruction sent by target equipment;
analyzing the alarm instruction to determine the equipment identification and the current abnormal data of the target equipment;
constructing query information based on the equipment identifier and the abnormal data, and processing the query information to generate a componentized processing flow aiming at the alarm instruction, wherein the componentized processing flow comprises one or more operable control keys;
and acquiring the processing information issued by the componentization processing flow, and releasing the alarm instruction after checking the correctness of the processing information.
In one embodiment, constructing query information based on the device identification and the anomaly data includes:
obtaining a fault manual corresponding to the equipment identifier, wherein the fault manual comprises a plurality of pieces of fault information, and each piece of fault information is associated with a respective representative abnormal characteristic;
analyzing the abnormal data to generate one or more abnormal characteristics characterized by the abnormal data;
matching the one or more abnormal features in fault information of the fault manual to determine one or more target fault information corresponding to the one or more abnormal features;
and determining actual fault information in the target fault information, and generating query information corresponding to the actual fault information.
In one embodiment, matching the one or more anomaly characteristics in the fault information of the fault manual comprises:
constructing a plurality of abnormal feature combinations based on the one or more abnormal features, wherein the abnormal feature combinations comprise part or all of the abnormal features;
and matching each abnormal feature combination in the fault information of the fault manual to obtain target fault information corresponding to each abnormal feature combination.
In one embodiment, determining actual fault information in the target fault information includes:
for any two pieces of first fault information and second fault information in the target fault information, if the abnormal characteristics corresponding to the first fault information are contained in the abnormal characteristics corresponding to the first fault information, eliminating the first fault information from the target fault information;
and taking the final residual target fault information as actual fault information.
In one embodiment, the method further comprises:
if the alarm instruction sent by the target equipment is received again within a specified period after the alarm instruction is released, marking the target equipment, and reporting the equipment model of the target equipment to an administrator equipment;
and after reporting the equipment model to the administrator equipment, shielding an alarm instruction sent by the target equipment.
The invention also provides an AI large model-based alarm assembly automatic generation display system, which comprises:
the instruction receiving unit is used for receiving an alarm instruction sent by the target equipment;
the instruction analysis unit is used for analyzing the alarm instruction to determine the equipment identification and the current abnormal data of the target equipment;
the componentization processing unit is used for constructing query information based on the equipment identifier and the abnormal data, and processing the query information to generate a componentization processing flow aiming at the alarm instruction, wherein the componentization processing flow comprises one or more operable control keys;
and the verification unit is used for acquiring the processing information issued by the componentization processing flow and releasing the alarm instruction after verifying the correctness of the processing information.
In one embodiment, the componentized processing unit is specifically configured to obtain a fault manual corresponding to the device identifier, where the fault manual includes a plurality of pieces of fault information, and each piece of fault information is associated with a respective representative abnormal feature; analyzing the abnormal data to generate one or more abnormal characteristics characterized by the abnormal data; matching the one or more abnormal features in fault information of the fault manual to determine one or more target fault information corresponding to the one or more abnormal features; and determining actual fault information in the target fault information, and generating query information corresponding to the actual fault information.
In one embodiment, the componentized processing unit is specifically further configured to construct a plurality of abnormal feature combinations based on the one or more abnormal features, where the abnormal feature combinations include some or all of the abnormal features; and matching each abnormal feature combination in the fault information of the fault manual to obtain target fault information corresponding to each abnormal feature combination.
In one embodiment, the componentized processing unit is specifically further configured to reject, for any two first fault information and second fault information in the target fault information, the first fault information from the target fault information if the abnormal feature corresponding to the first fault information is included in the abnormal feature corresponding to the first fault information; and taking the final residual target fault information as actual fault information.
In one embodiment, the system further comprises:
the shielding unit is used for marking the target equipment and reporting the equipment model of the target equipment to the manager equipment if the alarm instruction sent by the target equipment is received again within a specified period after the alarm instruction is released; and after reporting the equipment model to the administrator equipment, shielding an alarm instruction sent by the target equipment.
According to the technical scheme provided by the invention, the query information can be automatically constructed by analyzing the alarm instruction, and the componentization processing flow can be generated aiming at the query information. The modularized processing flow comprises the operable control keys, and an operator can timely solve abnormal conditions by triggering the control keys according to the flow, so that the processing efficiency of the alarm instruction is improved.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims thereof as well as the appended drawings.
The technical scheme of the invention is further described in detail through the drawings and the embodiments.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
FIG. 1 is a schematic diagram of steps of an automatic generation display method of an alarm assembly based on an AI large model in an embodiment of the invention;
fig. 2 is a schematic diagram of a functional module of an automatic generation display system of an alarm assembly based on an AI large model in an embodiment of the invention.
Detailed Description
The preferred embodiments of the present invention will be described below with reference to the accompanying drawings, it being understood that the preferred embodiments described herein are for illustration and explanation of the present invention only, and are not intended to limit the present invention.
Referring to fig. 1, an embodiment of the present application provides a method for automatically generating and displaying an alarm component based on an AI large model, where the method includes:
s1: receiving an alarm instruction sent by target equipment, wherein the specific steps comprise,
step A1: receiving an alarm instruction sent by the target equipment according to the single data received by the instruction receiving unit and the frame header of the alarm instruction by using the formula (1)
Wherein J 16 (1) First byte data representing an alarm instruction sent by the target device, i.e. when receiving data the system automatically recognizes whether the received byte is A 16 If yes, let the first byte data be A 16 ；J 16 (a) A byte data representing an alarm instruction sent by the target equipment is received; a is that 16 The expression (a-1) indicates that upon receipt of byte A 16 Then the a-1 byte data is received again; n represents the total number of bytes of standard data of the alarm instruction; a is that 16 Standard frame header data representing an alarm instruction;
step A2: judging whether the received data is accurate or not according to the data frame tail check and the parity check of the received data by using a formula (2)
Wherein R representsJudging whether the received data is an accurate judgment value; j (J) 16 (n) represents an nth byte of data for receiving an alert instruction from the target device; e (E) 16 Standard end-of-frame data representing an alarm instruction; the absolute value is calculated by the expression;representation of data J 16 Bit exclusive or is performed on the 1 st to n-2 th bytes; q { } represents that the parity of the data in the brackets is obtained, the function value is 1 if the value in the brackets is odd, and the function value is 0 if the value in the brackets is even; j (J) 16 (n-1) represents n-1 th byte data of an alarm instruction transmitted from the target device, and is also a parity bit of the alarm instruction;
if r=0, it indicates that the received data is accurate;
if R is not equal to 0, indicating that the received data is wrong;
step A3: if the error alarm instruction is received for more than 5 times, judging whether the equipment has instruction sending faults or not according to the accuracy of the 5-time frame tail data of the received error alarm instruction by utilizing a formula (3)
Wherein G represents a determination value of an instruction transmission failure; j_k 16 (n) nth byte data representing a kth received false alarm instruction; z []A 0-check function, wherein the function value is 1 if the value in the bracket is 0, and is 0 if the value in the bracket is not 0;
if g=1, indicating that the device has an instruction sending fault;
if g=0, indicating that the device has no instruction sending fault;
the beneficial effects of the technical scheme are as follows: the formula (1) in the step A1 is utilized to receive the alarm instruction sent by the target equipment according to the single data received by the instruction receiving unit and the frame header of the alarm instruction, so that the alarm instruction is accurately and efficiently received, the reception of interference data can be stopped, and the efficiency of a system is improved; and then judging whether the received data is accurate or not according to the data frame tail check and the parity check of the received data by utilizing the formula (2) in the step A2, thereby verifying the accuracy from two aspects and ensuring the reliability of the system; then, judging whether the equipment has an instruction sending fault according to the accuracy of 5 times of frame tail data of the received error alarm instruction by utilizing the formula (3) in the step (A3), and further judging that the alarm instruction is the instruction sending fault under the condition that the frame head and the frame tail of a plurality of times of frames are correct, and meanwhile, judging that the alarm instruction is the alarm instruction, so as to prevent the fault from being undetected for unmanned maintenance;
s2: analyzing the alarm instruction to determine the equipment identification and the current abnormal data of the target equipment;
s3: constructing query information based on the equipment identifier and the abnormal data, and processing the query information to generate a componentized processing flow aiming at the alarm instruction, wherein the componentized processing flow comprises one or more operable control keys;
s4: and acquiring the processing information issued by the componentization processing flow, and releasing the alarm instruction after checking the correctness of the processing information.
In one embodiment, constructing query information based on the device identification and the anomaly data includes:
obtaining a fault manual corresponding to the equipment identifier, wherein the fault manual comprises a plurality of pieces of fault information, and each piece of fault information is associated with a respective representative abnormal characteristic;
analyzing the abnormal data to generate one or more abnormal characteristics characterized by the abnormal data;
matching the one or more abnormal features in fault information of the fault manual to determine one or more target fault information corresponding to the one or more abnormal features;
and determining actual fault information in the target fault information, and generating query information corresponding to the actual fault information.
In this embodiment, each piece of fault information that may occur to the device may be listed in the fault manual, and each piece of fault information may correspond to its own representative abnormal feature. For example, for certain fault information, the corresponding representative abnormal feature may be that certain index data is too high and the equipment temperature is too high. By analyzing the abnormal data in the actual alarm instruction, the abnormal characteristics of the alarm instruction can be determined. The abnormal characteristics represented by the alarm instruction can be matched with the representative abnormal characteristics associated with the fault information, so that the target fault information for generating the alarm instruction can be determined. In practical application, the determined target fault information may be multiple, and the final actual fault information can be determined through further screening.
In one embodiment, matching the one or more anomaly characteristics in the fault information of the fault manual comprises:
constructing a plurality of abnormal feature combinations based on the one or more abnormal features, wherein the abnormal feature combinations comprise part or all of the abnormal features;
and matching each abnormal feature combination in the fault information of the fault manual to obtain target fault information corresponding to each abnormal feature combination.
In one embodiment, determining actual fault information in the target fault information includes:
for any two pieces of first fault information and second fault information in the target fault information, if the abnormal characteristics corresponding to the first fault information are contained in the abnormal characteristics corresponding to the first fault information, eliminating the first fault information from the target fault information;
and taking the final residual target fault information as actual fault information.
For example, there is A, B, C for the anomaly, then the constructed anomaly combination can be A, B, C, AB, AC, BC and ABC. In the fault manual, fault information that matches each abnormal feature combination can be queried. For example, in the fault manual, if the representative abnormal feature associated with a certain fault information is BC, the fault information may be used as the fault information corresponding to the alarm instruction. Of course, in practical applications, not every fault information is real fault information, because when there is A, B, C an abnormal feature, the corresponding feature combination should be ABC in practice, and other features included in the feature combination can be ignored.
Thus, assuming that the abnormal feature corresponding to the first fault information is AC and the abnormal feature corresponding to the second fault information is ABC, the first fault information may be removed from the target fault information. Screening one by one in this way eventually leaves the most widely covered fault information that can be used as the final actual fault information.
In one embodiment, the method further comprises:
if the alarm instruction sent by the target equipment is received again within a specified period after the alarm instruction is released, marking the target equipment, and reporting the equipment model of the target equipment to an administrator equipment;
and after reporting the equipment model to the administrator equipment, shielding an alarm instruction sent by the target equipment.
After the device model is reported to the manager device, the manager can perform manual detection, and meanwhile, the alarm instruction can be shielded to prevent other alarm instructions from being submerged.
Referring to fig. 2, in another aspect of the present invention, there is provided an automatic generation display system for an alarm assembly based on an AI large model, the system comprising:
the instruction receiving unit is used for receiving an alarm instruction sent by the target equipment;
the instruction analysis unit is used for analyzing the alarm instruction to determine the equipment identification and the current abnormal data of the target equipment;
the componentization processing unit is used for constructing query information based on the equipment identifier and the abnormal data, and processing the query information to generate a componentization processing flow aiming at the alarm instruction, wherein the componentization processing flow comprises one or more operable control keys;
and the verification unit is used for acquiring the processing information issued by the componentization processing flow and releasing the alarm instruction after verifying the correctness of the processing information.
In one embodiment, the componentized processing unit is specifically configured to obtain a fault manual corresponding to the device identifier, where the fault manual includes a plurality of pieces of fault information, and each piece of fault information is associated with a respective representative abnormal feature; analyzing the abnormal data to generate one or more abnormal characteristics characterized by the abnormal data; matching the one or more abnormal features in fault information of the fault manual to determine one or more target fault information corresponding to the one or more abnormal features; and determining actual fault information in the target fault information, and generating query information corresponding to the actual fault information.
In one embodiment, the componentized processing unit is specifically further configured to construct a plurality of abnormal feature combinations based on the one or more abnormal features, where the abnormal feature combinations include some or all of the abnormal features; and matching each abnormal feature combination in the fault information of the fault manual to obtain target fault information corresponding to each abnormal feature combination.
In one embodiment, the componentized processing unit is specifically further configured to reject, for any two first fault information and second fault information in the target fault information, the first fault information from the target fault information if the abnormal feature corresponding to the first fault information is included in the abnormal feature corresponding to the first fault information; and taking the final residual target fault information as actual fault information.
In one embodiment, the system further comprises:
the shielding unit is used for marking the target equipment and reporting the equipment model of the target equipment to the manager equipment if the alarm instruction sent by the target equipment is received again within a specified period after the alarm instruction is released; and after reporting the equipment model to the administrator equipment, shielding an alarm instruction sent by the target equipment.
According to the technical scheme provided by the invention, the query information can be automatically constructed by analyzing the alarm instruction, and the componentization processing flow can be generated aiming at the query information. The modularized processing flow comprises the operable control keys, and an operator can timely solve abnormal conditions by triggering the control keys according to the flow, so that the processing efficiency of the alarm instruction is improved.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (10)
1. An automatic generation and display method of an alarm component based on an AI large model is characterized by comprising the following steps:
receiving an alarm instruction sent by target equipment;
analyzing the alarm instruction to determine the equipment identification and the current abnormal data of the target equipment;
constructing query information based on the equipment identifier and the abnormal data, and processing the query information to generate a componentized processing flow aiming at the alarm instruction, wherein the componentized processing flow comprises one or more operable control keys;
and acquiring the processing information issued by the componentization processing flow, and releasing the alarm instruction after checking the correctness of the processing information.
2. The method of claim 1, wherein constructing query information based on the device identification and the anomaly data comprises:
obtaining a fault manual corresponding to the equipment identifier, wherein the fault manual comprises a plurality of pieces of fault information, and each piece of fault information is associated with a respective representative abnormal characteristic;
analyzing the abnormal data to generate one or more abnormal characteristics characterized by the abnormal data;
matching the one or more abnormal features in fault information of the fault manual to determine one or more target fault information corresponding to the one or more abnormal features;
and determining actual fault information in the target fault information, and generating query information corresponding to the actual fault information.
3. The method of claim 2, wherein matching the one or more anomaly characteristics in fault information of the fault manual comprises:
constructing a plurality of abnormal feature combinations based on the one or more abnormal features, wherein the abnormal feature combinations comprise part or all of the abnormal features;
and matching each abnormal feature combination in the fault information of the fault manual to obtain target fault information corresponding to each abnormal feature combination.
4. A method according to claim 2 or 3, characterized in that determining actual fault information in the target fault information comprises:
for any two pieces of first fault information and second fault information in the target fault information, if the abnormal characteristics corresponding to the first fault information are contained in the abnormal characteristics corresponding to the first fault information, eliminating the first fault information from the target fault information;
and taking the final residual target fault information as actual fault information.
5. The method according to claim 1, wherein the method further comprises:
if the alarm instruction sent by the target equipment is received again within a specified period after the alarm instruction is released, marking the target equipment, and reporting the equipment model of the target equipment to an administrator equipment;
and after reporting the equipment model to the administrator equipment, shielding an alarm instruction sent by the target equipment.
6. The method of claim 1, wherein receiving an alert command from a target device comprises:
step A1: receiving an alarm instruction sent by the target equipment according to the single data received by the instruction receiving unit and the frame header of the alarm instruction by using the formula (1)
Wherein J 16 (1) First byte data representing an alarm instruction sent by the target device, i.e. when receiving data the system automatically recognizes whether the received byte is A 16 If yes, let the first byte data be A 16 ；J 16 (a) A byte data representing an alarm instruction sent by the target equipment is received; a is that 16 The expression (a-1) indicates that upon receipt of byte A 16 Then the a-1 byte data is received again; n represents the total number of bytes of standard data of the alarm instruction; a is that 16 Standard frame header data representing an alarm instruction;
step A2: judging whether the received data is accurate or not according to the data frame tail check and the parity check of the received data by using a formula (2)
Wherein R represents a determination value for determining whether the received data is accurate; j (J) 16 (n) n-th byte data representing an alarm instruction received from the target device；E 16 Standard end-of-frame data representing an alarm instruction; the absolute value is calculated by the expression;representation of data J 16 Bit exclusive or is performed on the 1 st to n-2 th bytes; q { } represents that the parity of the data in the brackets is obtained, the function value is 1 if the value in the brackets is odd, and the function value is 0 if the value in the brackets is even; j (J) 16 (n-1) represents n-1 th byte data of an alarm instruction transmitted from the target device, and is also a parity bit of the alarm instruction;
if r=0, it indicates that the received data is accurate;
if R is not equal to 0, indicating that the received data is wrong;
step A3: if the error alarm instruction is received for more than 5 times, judging whether the equipment has instruction sending faults or not according to the accuracy of the 5-time frame tail data of the received error alarm instruction by utilizing a formula (3)
Wherein G represents a determination value of an instruction transmission failure; j_k 16 (n) nth byte data representing a kth received false alarm instruction; z []A 0-check function, wherein the function value is 1 if the value in the bracket is 0, and is 0 if the value in the bracket is not 0;
if g=1, indicating that the device has an instruction sending fault;
if g=0, it indicates that the device has no instruction transmission failure.
7. An AI large model-based alert component automatic generation display system, the system comprising:
the instruction receiving unit is used for receiving an alarm instruction sent by the target equipment;
the instruction analysis unit is used for analyzing the alarm instruction to determine the equipment identification and the current abnormal data of the target equipment;
the componentization processing unit is used for constructing query information based on the equipment identifier and the abnormal data, and processing the query information to generate a componentization processing flow aiming at the alarm instruction, wherein the componentization processing flow comprises one or more operable control keys;
and the verification unit is used for acquiring the processing information issued by the componentization processing flow and releasing the alarm instruction after verifying the correctness of the processing information.
8. The system according to claim 7, wherein the componentized processing unit is configured to obtain a fault manual corresponding to the device identifier, the fault manual including a plurality of fault information, each fault information being associated with a respective representative anomaly characteristic; analyzing the abnormal data to generate one or more abnormal characteristics characterized by the abnormal data; matching the one or more abnormal features in fault information of the fault manual to determine one or more target fault information corresponding to the one or more abnormal features; and determining actual fault information in the target fault information, and generating query information corresponding to the actual fault information.
9. The system according to claim 8, wherein the componentized processing unit is further configured to construct a plurality of abnormal feature combinations based on the one or more abnormal features, the abnormal feature combinations including some or all of the abnormal features; and matching each abnormal feature combination in the fault information of the fault manual to obtain target fault information corresponding to each abnormal feature combination.
10. The system according to claim 8 or 9, wherein the componentized processing unit is specifically further configured to, for any two of the first fault information and the second fault information in the target fault information, reject the first fault information from the target fault information if the abnormal feature corresponding to the first fault information is included in the abnormal feature corresponding to the first fault information; and taking the final residual target fault information as actual fault information.
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