Intelligent inspection method, device and equipment of chemical equipment production line and storage medium

Abstract

This application relates to an intelligent inspection method, device, equipment, and storage medium for a chemical equipment production line, applied in the field of computer network operation and maintenance management. The method includes: controlling an image acquisition unit to capture images of the production equipment, obtaining several corresponding production image information; determining whether the production equipment is operating based on the several production image information; if the production equipment is not operating, determining that the production equipment is abnormal; if the production equipment is abnormal, obtaining the corresponding equipment number, generating an alarm signal based on the equipment number, and sending the alarm signal to the operator's intelligent terminal. The technical effect of this application is: improving the accuracy, detail, and timeliness of inspection results.

Description

Technical Field

[0001] This application relates to the technical field of computer network operation and maintenance management, and in particular to an intelligent inspection method, device, equipment and storage medium for a chemical equipment production line. Background Technology

[0002] A production line is an industrial production method where each production unit focuses on handling only one specific segment of the work. Production lines can be designed according to requirements, including conveyor capacity, conveyor speed, assembly stations, auxiliary components, etc. They are an organic combination of intelligent conveying inspection systems, accompanying fixtures, online dedicated machines, and testing equipment, capable of meeting the conveying requirements of a wide variety of products.

[0003] The production line is equipped with several production devices as needed. These devices perform welding or assembly operations on the chemical equipment located in the intelligent conveyor inspection system, enabling the chemical units on the production line to achieve certain functions. However, due to long-term use, the production equipment on the production line may experience mechanical failures, causing it to fail to operate according to production requirements and thus resulting in products that lack the necessary functions, are unsellable, and cause significant economic losses to the company.

[0004] In the process of developing this application, the inventors discovered that the technology has at least the following problems: Generally speaking, the existing production line inspection method is manual inspection, which makes it difficult to guarantee the accuracy, detail and timeliness of the inspection results, and the inspection results are highly subjective. Summary of the Invention

[0005] To improve the accuracy, detail, and timeliness of inspection results, this application provides an intelligent inspection method, device, equipment, and storage medium for a chemical equipment production line.

[0006] In a first aspect, this application provides an intelligent inspection method for a chemical equipment production line, which adopts the following technical solution: the method includes: controlling the image acquisition unit to take pictures of the production equipment to obtain a number of corresponding production image information;

[0007] Determine whether the production equipment is in operation based on several production image information;

[0008] If the production equipment is not operating, it is determined that the production equipment is malfunctioning.

[0009] If the production equipment malfunctions, the equipment number corresponding to the production equipment is obtained;

[0010] An alarm signal is generated based on the device number and sent to the staff's smart terminal.

[0011] Through the above technical solution, the intelligent inspection system continuously photographs the production equipment located on both sides of the intelligent inspection system using an image acquisition unit, acquiring multiple production image information. Based on these images, the system detects the operating status of the production equipment. Since the production equipment will exhibit certain movements when operating normally, the intelligent inspection system determines whether these movements occur based on the production image information. If movements are observed, it indicates that the equipment is operating normally. If the system determines that the equipment is not moving, it suggests a potential malfunction, and the intelligent inspection system immediately generates an alarm signal and sends it to the operator's smart terminal. By using production image information to check the operating status of the production equipment, the intelligent inspection system replaces manual inspection, reducing the possibility of lower accuracy, detail, and timeliness in inspection results due to manual inspection.

[0012] In one specific implementation scheme, the alarm signal is recorded, and the recorded alarm signal is recorded as a historical alarm signal, the historical alarm signal including at least the generation time;

[0013] Calculate the first time difference between the generation times of the historical alarm signals;

[0014] Determine whether the first time difference is consistent;

[0015] If the first time difference is consistent, control the self-cleaning device to clean the image acquisition unit;

[0016] Otherwise, the alarm signal will be sent to the staff's smart terminal.

[0017] Through the above technical solution, the intelligent inspection system determines whether the corresponding production equipment has been repeatedly identified as having operational problems based on the generation time of the alarm signal. When a production equipment is repeatedly identified as having operational problems, the intelligent inspection system will activate a self-cleaning device to clean the lens of the image acquisition unit. This reduces the possibility of the intelligent inspection system failing to detect the operation of the production equipment due to dirt on the lens of the image acquisition unit, thus causing false alarms and improving the ability of the intelligent inspection system to handle special situations.

[0018] In one specific implementation, when the self-cleaning device is turned off, a timer is started, a timer value is generated, and the status corresponding to the historical alarm signal is modified to "processed".

[0019] The time value is compared with a preset standard time value;

[0020] When the timeout value reaches the standard time value, the status of checking whether there are historical alarm signals is unprocessed.

[0021] If any of the historical alarm signals are in an unprocessed state, a termination command is generated and sent to the staff's smart terminal.

[0022] Through the above technical solution, the intelligent inspection system will start timing when the self-cleaning device finishes cleaning and obtain the corresponding timing value. If the intelligent inspection system generates a new alarm signal before the timing value reaches the preset standard time value, it means that the historical alarm signal generated by the intelligent inspection system is not a false alarm caused by dirt on the lens of the image acquisition unit, but a related fault has indeed occurred in the production equipment. At this time, the intelligent inspection system will directly generate a termination signal to remind the staff that the production equipment on the production line cannot work normally and needs to stop the operation of the production line to reduce the generation of more defective products on the production line.

[0023] In one specific implementation, a second time difference between the generation times of the historical alarm signals is calculated;

[0024] If the second time difference value is consistent, then obtain the unit number corresponding to the image acquisition unit;

[0025] An alarm signal is generated based on the unit number, and the alarm information is sent to the staff's smart terminal.

[0026] Through the above technical solution, if a new alarm signal is generated after the self-cleaning device has completed its operation, the intelligent inspection system will determine whether there is a pattern between the newly generated alarm signal and the previously generated alarm signal based on their generation times. If a pattern is found, the reason for the alarm signal generated by the intelligent inspection system is very likely due to a malfunction in the image acquisition unit itself. Therefore, the intelligent inspection system will generate an alarm signal based on the corresponding unit number of the image acquisition unit and send the generated alarm signal to the staff's smart terminal to request maintenance. This reduces the possibility of the intelligent inspection system misjudging a malfunction in the production equipment due to a malfunction in the image acquisition unit itself.

[0027] In one specific feasible implementation, the equipment operating parameters corresponding to the production equipment are obtained;

[0028] The device operating parameters are compared with the endpoint values ​​of a preset standard operating parameter range;

[0029] If the operating parameters of the device exceed or fall below the standard operating parameter range, an alarm signal will be generated.

[0030] Through the above technical solution, after the intelligent inspection system detects that the production is not operating normally through the production image information, it will obtain the equipment operating parameters of the production equipment at this time. If the obtained equipment operating parameters are not within the preset standard operating parameter range, the intelligent inspection system can determine that the production equipment has indeed malfunctioned. The intelligent inspection system will then immediately generate a corresponding alarm signal. By verifying the image detection results through the equipment operating parameters of the production equipment, the error rate of the alarm signal generated by the intelligent inspection system is further reduced, and the applicability of the intelligent inspection system is improved.

[0031] In a specific feasible implementation, if the device operating parameters are within the standard operating parameter range

[0032] The system queries the preset maintenance database for the most recent maintenance time based on the equipment number.

[0033] Get the current time value;

[0034] Calculate the time difference between the current time value and the time of the most recent maintenance.

[0035] The time difference between the current time value and the time of the most recent maintenance is recorded as the safe operating time value;

[0036] The safe operating time value is compared with the preset standard safe operating time value;

[0037] If the safe operating time value exceeds the standard safe operating time value, an alarm signal is generated.

[0038] Through the above technical solution, after the intelligent inspection system detects that production is not operating normally through production image information, it will obtain the equipment operating parameters at this time. If the obtained equipment operating parameters are within the preset standard operating parameter range, the operating status of the production equipment can be determined to be normal. At this time, the intelligent inspection system will check the most recent maintenance time of the production equipment. If the current time is close to the last maintenance time, the possibility of production equipment failure is low. The intelligent inspection system can determine that the production unit is operating normally at this time, which further reduces the error rate of alarm signals generated by the intelligent inspection system and improves the applicability of the intelligent inspection system.

[0039] In one specific implementation scheme, if the safe operating time value does not exceed the standard safe operating time value, the number of repairs is searched in a preset maintenance record table;

[0040] Compare the number of repairs to the standard number of repairs;

[0041] If the number of repairs exceeds the standard number of repairs, an alarm signal will be generated.

[0042] Through the above technical solution, when the current time is close to the last maintenance time, the intelligent inspection system determines whether to generate an alarm signal by querying the number of maintenance records for the production equipment. If a production equipment has a high number of maintenance records, it indicates that the possibility of a failure is high, and the intelligent inspection system needs to generate an alarm signal. This allows the intelligent inspection system to determine whether to generate an alarm signal based on the actual situation of the production equipment, thereby improving the applicability of the intelligent inspection system.

[0043] Secondly, this application provides an intelligent inspection device for a chemical equipment production line, adopting the following technical solution: the device includes:

[0044] The image acquisition module is used to control the image acquisition unit to take pictures of the production equipment and obtain a number of corresponding production image information;

[0045] The action judgment module is used to determine whether the production equipment is in motion based on several production image information.

[0046] An anomaly detection module is used to determine that the production equipment is malfunctioning if the production equipment is not operating.

[0047] The number acquisition module is used to acquire the equipment number corresponding to the production equipment if the production equipment malfunctions.

[0048] The signal generation module is used to generate an alarm signal based on the device number and send the alarm signal to the staff's smart terminal.

[0049] Thirdly, this application provides a computer device that adopts the following technical solution: it includes a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and executed as any of the intelligent inspection methods for chemical equipment production lines described above.

[0050] Fourthly, this application provides a computer-readable storage medium, which adopts the following technical solution: storing a computer program that can be loaded by a processor and executed as any of the above-mentioned intelligent inspection methods for chemical equipment production lines.

[0051] In summary, this application includes at least one of the following beneficial technical effects:

[0052] 1. The intelligent inspection system continuously photographs the production equipment located on both sides of the intelligent inspection system using an image acquisition unit, acquiring multiple production image information. Based on these images, the system detects the operating status of the production equipment. Since the production equipment will exhibit certain movements when operating normally, the intelligent inspection system determines whether these movements occur based on the production image information. If movements are observed, it indicates that the production equipment is operating normally. If the production image information indicates that the production equipment is not moving, it suggests a potential malfunction. The intelligent inspection system will immediately generate an alarm signal and send it to the operator's smart terminal. By using production image information to check the operating status of the production equipment, the intelligent inspection system replaces manual inspection, reducing the possibility of lower accuracy, detail, and timeliness of inspection results due to manual inspection.

[0053] 2. After the intelligent inspection system detects that production is not operating normally through production image information, it will obtain the equipment operating parameters at this time. If the obtained equipment operating parameters are within the preset standard operating parameter range, the system can determine that the production equipment is operating normally. At this time, the intelligent inspection system will check the most recent maintenance time of the production equipment. If the current time is close to the last maintenance time, the possibility of equipment failure is low, and the intelligent inspection system can determine that the production unit is operating normally. This further reduces the error rate of alarm signals generated by the intelligent inspection system and improves the applicability of the intelligent inspection system. Attached Figure Description

[0054] Figure 1 This is a flowchart of the intelligent inspection method for a chemical equipment production line in the embodiments of this application.

[0055] Figure 2 This is a structural block diagram of the intelligent inspection device for a chemical equipment production line in the embodiments of this application.

[0056] Reference numerals: 301, Image acquisition module; 302, Action judgment module; 303, Anomaly judgment module; 304, Number acquisition module; 305, Signal generation module. Detailed Implementation

[0057] The following is in conjunction with the appendix Figure 1-2 This application will be described in further detail.

[0058] This application discloses an intelligent inspection method for a chemical equipment production line. The method is applied to an intelligent inspection system, which includes an image acquisition unit for acquiring image data of production equipment on the production line and a self-cleaning device for cleaning the lens of the image acquisition unit. The image acquisition unit is pre-set on a predetermined track and, upon receiving a start command, travels along the predetermined track, which is located above the production line. During its travel along the track, the image acquisition unit captures images of the production equipment below.

[0059] like Figure 1 As shown, the method includes the following steps:

[0060] S10, control the image acquisition unit to take pictures of the production equipment.

[0061] Specifically, in this embodiment, the intelligent inspection system can continuously photograph the production equipment on the production line over a period of time by calling the image acquisition unit, obtaining several production image information corresponding to each production equipment. Then, the intelligent inspection system preprocesses the collected production image information, and the clarity of the preprocessed production image information is significantly improved.

[0062] In this embodiment, the image acquisition unit can be a camera, so the acquired production image information can be a photograph of the production equipment. Alternatively, the image acquisition unit can be a video camera, so the acquired production image information can be video of the production equipment. When the image acquisition unit is a camera, the intelligent inspection system can periodically call the camera to take pictures of the production equipment, for example, every 1 minute or 2 minutes, to obtain image data of the production equipment.

[0063] When the image acquisition unit is a camera, the intelligent inspection system can continuously capture images of the production equipment after the intelligent inspection process of the chemical equipment production line begins, thereby obtaining video of the production equipment; or, when the image acquisition unit receives a recording start command triggered by the worker, it calls the camera and captures video of the production equipment. After obtaining the video of the production equipment captured by the camera, it will extract the video frame by frame to obtain several corresponding production image information. It should be noted that the frame extraction frequency mentioned here can be adjusted by the worker. Since different products on the production line may have different corresponding action frequencies of the production equipment, the worker can adjust the frame extraction frequency according to the actual situation of the production workshop to ensure that the extracted production image information can capture the process of the production equipment's actions. This helps to reduce the possibility that the intelligent inspection system will misjudge the status of the production equipment due to unreasonable frame extraction frequency settings that fail to capture the actions of the production equipment.

[0064] S20 determines whether the production equipment is in operation based on several production image information.

[0065] Specifically, the production image information obtained by the intelligent inspection system is processed according to a preset cycle. Within one cycle, the production equipment operates on only one product. Since the lens of the image acquisition unit remains constant, if the production equipment operates on products on the production line according to production needs within the same cycle, the position of the production equipment will differ in different production image information. Therefore, the intelligent inspection system can determine whether the production equipment has taken action within that cycle by comparing the production image information within the same cycle to identify any discrepancies.

[0066] S30: If the production equipment is not operating, it is determined that the production equipment is malfunctioning.

[0067] Specifically, if the intelligent inspection system cannot detect any action taken by the production image information within the current cycle, the intelligent inspection system will directly determine that the operating status of the production equipment is abnormal at this time.

[0068] S40, If the production equipment malfunctions, obtain the equipment number corresponding to the production equipment;

[0069] Specifically, each piece of equipment on the production line has a unique equipment number, allowing staff to locate the corresponding equipment. If the intelligent inspection system determines an anomaly in a production piece based on production image information, it will query the equipment number of the production piece corresponding to the image acquisition unit that acquired the image information.

[0070] S50 generates an alarm signal based on the device number.

[0071] Specifically, after the intelligent inspection system identifies the equipment number corresponding to a faulty production device, it generates an alarm message based on that equipment number. This alarm signal includes the equipment number of the faulty production device and is then sent to the operator's smart terminal. This method of determining whether production equipment is faulty through image acquisition effectively reduces manual inspections, lowers the subjectivity of inspection results, and improves the accuracy and timeliness of the results.

[0072] In one embodiment, to improve the accuracy of the intelligent inspection system in determining whether production equipment has a fault, an alarm signal is sent to the worker's smart terminal. Specifically, the following steps can be performed:

[0073] Once the intelligent inspection system generates an alarm signal, it records the alarm signal, which is the number of times the intelligent inspection system modifies the alarm information corresponding to the production equipment in the preset alarm record table. The alarm signals already recorded in the alarm record table are historical alarm signals, and the generation time of the historical alarm signals is also recorded in the alarm record table. The intelligent inspection system calculates the time difference between the historical alarm times corresponding to the production equipment in the alarm record table, records several calculated time differences as the first time difference, and compares several first time differences to determine whether the first time differences are consistent. If the calculated first time differences are consistent, it means that the production equipment has been continuously judged as having an operational fault in the current time period. Therefore, there may be dirt on the lens of the image acquisition unit that acquires image data corresponding to the production equipment, resulting in incomplete image acquisition information and failure to successfully capture the relevant actions of the production equipment. The intelligent inspection system mistakenly judges the production equipment as faulty. Therefore, the intelligent inspection system will control the self-cleaning device to clean the lens of the image acquisition unit to reduce the impact of the dirt on the intelligent inspection system's judgment results.

[0074] In one embodiment, to reduce the likelihood of defective products being produced on the production line, after the self-cleaning device cleans the image acquisition unit, the following steps may also be performed:

[0075] When the self-cleaning device completes its cleaning action and shuts off, the intelligent inspection system starts timing, generating a time value. Simultaneously, the system updates the status of historical alarm signals to "processed" and compares the time value with a preset standard time value. When the time value reaches the standard time value, the intelligent inspection system immediately stops timing. If a new alarm signal is generated during the timing process, it indicates that the alarm signal is not due to dirt on the image acquisition unit's lens. In this case, the intelligent inspection system generates a termination command and sends it to the operator's smart terminal. It should be noted that because stopping the production line would result in significant economic losses, this termination command is used to inform the operator of a production equipment malfunction and suggest suspending the production line, not to authorize the intelligent inspection system to stop the production line altogether. By checking for unprocessed historical alarm signals after the image acquisition unit's self-cleaning action, the intelligent inspection system determines whether the production equipment is truly malfunctioning. This reduces the likelihood of the intelligent inspection system allowing equipment to continue operating when malfunctioning, thereby decreasing the possibility of producing more defective products on the production line.

[0076] In one embodiment, considering the possibility that a malfunction in the image acquisition unit might cause the intelligent inspection system to misjudge the production equipment as malfunctioning, a termination command is generated and sent to the worker's smart terminal. Specifically, this can be achieved through the following steps:

[0077] If the intelligent inspection system generates a new alarm signal when the timing value has not reached the standard time value (i.e., a historical alarm signal in the alarm record table that is in an unprocessed state), it will calculate the second time difference between all historical alarm signals corresponding to the production equipment and determine whether several second time differences are consistent. If several second time differences are consistent, it is possible that the image acquisition unit itself is malfunctioning, causing the intelligent inspection system to judge the production equipment's operating status as faulty. In this case, the intelligent inspection system will obtain the unit number corresponding to the image acquisition unit, generate a corresponding alarm signal based on the obtained unit number, and send the generated alarm signal to the staff's smart terminal. The staff can view the corresponding alarm signal on their smart terminal and repair the image acquisition unit that may be malfunctioning, which helps to reduce the possibility of the intelligent inspection system misjudging the production equipment's operating status due to the image acquisition unit itself malfunctioning.

[0078] In one embodiment, to reduce misjudgments of production equipment malfunctions by the intelligent inspection system and improve the accuracy of the inspection results, an alarm signal is generated based on the equipment number. Specifically, the following steps can be performed:

[0079] The intelligent inspection system acquires the operating parameters of the production equipment and compares them with the endpoints of the pre-set standard operating parameter range. If the acquired operating parameters exceed or fall below the preset standard operating parameter range, and the intelligent inspection system has already determined that the production equipment is malfunctioning based on the production image information, then the possibility of a malfunction is extremely high, and the intelligent inspection system will immediately generate an alarm signal. The intelligent inspection system checks the operating status of the production equipment through two different methods. An alarm is only generated when both detection methods indicate a malfunction. This helps reduce misjudgments of equipment malfunctions and improves the accuracy of the inspection results.

[0080] In one embodiment, considering the detection results of two detection methods for production equipment by the intelligent inspection system—one indicating a production equipment malfunction and the other indicating normal operation—the intelligent inspection system may be unable to accurately perform subsequent processing. Therefore, after comparing the equipment operating parameters with the endpoint values ​​of a preset standard operating parameter range, the following steps can also be performed:

[0081] If the equipment operating parameters obtained by the intelligent inspection system are within the preset standard equipment operating parameter range, the intelligent inspection system can determine that the production equipment is operating normally based solely on the equipment operating parameters. However, the intelligent inspection system can determine that the production equipment is malfunctioning based on the production image information. The detection results corresponding to the two different detection methods are inconsistent. Therefore, the intelligent inspection system queries the preset maintenance database for the last maintenance time of the production equipment, which is the most recent maintenance time. It should be noted that after each maintenance of a piece of production equipment, the staff records the maintenance time in the maintenance database. After the intelligent inspection system finds the most recent maintenance time for the production equipment, it obtains the current time value and calculates the difference between the two, which is the safe operating time difference. If the calculated safe operating time difference exceeds the preset standard safe operating time difference in the intelligent inspection system, the intelligent inspection system will generate an alarm signal. The intelligent inspection system determines whether to generate an alarm signal by calculating how much time has passed since the last maintenance of the production equipment. Therefore, if the production equipment has not been maintained for a long period of time, the possibility of a malfunction is high, and the intelligent inspection system will generate an alarm signal. This allows the intelligent inspection system to make a more scientific judgment on the actual operating status of the production equipment when two detection results are inconsistent, improving the system's ability to handle abnormal requests and thus enhancing its applicability.

[0082] In one embodiment, to further improve the applicability of the intelligent inspection system, after comparing the safe operating time value with the preset standard safe operating time value, the following steps can also be performed:

[0083] If the safe operating time of a production device fails to meet the preset standard safe operating time, the intelligent inspection system will search for the corresponding maintenance record in the preset maintenance record table. The maintenance record includes the number of maintenance visits and the time for each visit. After finding the number of maintenance visits for the production device, the intelligent inspection system will compare it with the standard maintenance visit. If the number of maintenance visits exceeds the standard maintenance visit, the intelligent inspection system will directly generate an alarm signal. It should be noted that to reduce the possibility of excessive maintenance visits for certain production devices due to long usage time, which could impact the subsequent processing of the intelligent inspection system, the maintenance record table in the intelligent inspection system will be periodically cleared. The specific clearing frequency is set by the staff. The intelligent inspection system determines the likelihood of a malfunction during the operation of the production device by querying the number of maintenance visits, and then decides whether to generate an alarm signal, further improving the applicability of the intelligent inspection system.

[0084] Figure 1 This is a flowchart illustrating an intelligent inspection method for a chemical equipment production line in one embodiment. It should be understood that, although... Figure 1 The steps in the flowchart are shown sequentially as indicated by the arrows, but these steps are not necessarily executed in the order indicated by the arrows; unless explicitly stated otherwise, there is no strict order requirement for the execution of these steps, and they can be executed in other orders; and Figure 1 At least some of the steps in the process may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these sub-steps or stages is not necessarily sequential, but can be executed in turn or alternately with other steps or at least some of the sub-steps or stages of other steps.

[0085] Based on the above method, this application also discloses an intelligent inspection device for a chemical equipment production line.

[0086] like Figure 2 As shown, the device includes the following modules:

[0087] The image acquisition module 301 is used to control the image acquisition unit to take pictures of the production equipment and obtain a number of corresponding production image information;

[0088] The action judgment module 302 is used to determine whether the production equipment is in motion based on several production image information;

[0089] The anomaly detection module 303 is used to determine that the production equipment is abnormal if the production equipment is not operating.

[0090] The number acquisition module 304 is used to acquire the equipment number corresponding to the production equipment if an abnormality occurs in the production equipment.

[0091] The signal generation module 305 is used to generate an alarm signal based on the device number and send the alarm signal to the staff's smart terminal.

[0092] In one embodiment, the signal generation module 305 is further configured to record alarm signals and record the alarm signals that have been recorded as historical alarm signals, wherein the historical alarm signals include at least the generation time.

[0093] Calculate the first time difference between the generation times of the historical alarm signals;

[0094] Determine if the time difference is consistent.

[0095] If the difference is consistent at the first moment, the self-cleaning device is controlled to clean the image acquisition unit;

[0096] Otherwise, an alarm signal will be sent to the staff's smart terminal.

[0097] In one embodiment, the signal generation module 305 is further configured to start a timer when the self-cleaning device is turned off, generate a timer value, and modify the status corresponding to the historical alarm signal to "processed".

[0098] Compare the time value with the preset standard time value;

[0099] When the timer value reaches the standard time value, check if there are any historical alarm signals; the status is "unprocessed".

[0100] If a historical alarm signal is in an unprocessed state, a termination command is generated and sent to the staff's smart terminal.

[0101] In one embodiment, the signal generation module 305 is further configured to calculate a second time difference between the generation times of historical alarm signals;

[0102] If the second time difference is consistent, then obtain the unit number corresponding to the image acquisition unit;

[0103] An alarm signal is generated based on the unit number, and the alarm information is sent to the staff's smart terminal.

[0104] In one embodiment, the signal generation module 305 is further configured to acquire the equipment operating parameters corresponding to the production equipment;

[0105] Compare the equipment operating parameters with the endpoint values ​​of the preset standard operating parameter range;

[0106] If the equipment's operating parameters exceed or fall outside the standard operating parameter range, an alarm signal will be generated.

[0107] In one embodiment, the signal generation module 305 is further configured to, if the device operating parameters are within the standard operating parameter range

[0108] The system retrieves the most recent maintenance time from the pre-set maintenance database based on the equipment number.

[0109] Get the current time value;

[0110] Calculate the time difference between the current time value and the time of the most recent maintenance.

[0111] The time difference between the current time value and the time of the most recent maintenance is recorded as the safe operating time value;

[0112] Compare the safe operating time value with the preset standard safe operating time value;

[0113] If the safe operating time exceeds the standard safe operating time, an alarm signal will be generated.

[0114] In one embodiment, the signal generation module 305 is further configured to look up the number of repairs in a preset maintenance record table if the safe operating time value does not exceed the standard safe operating time value.

[0115] Compare the number of repairs with the standard number of repairs;

[0116] If the number of repairs exceeds the standard number of repairs, an alarm signal will be generated.

[0117] This application also discloses a computer device.

[0118] Specifically, the computer device includes a memory and a processor, with the memory storing a computer program that can be loaded by the processor and executed to perform the intelligent inspection method for the aforementioned chemical equipment production line.

[0119] This application also discloses a computer-readable storage medium.

[0120] Specifically, the computer-readable storage medium stores a computer program that can be loaded by a processor and executed, such as the intelligent inspection method for the aforementioned chemical equipment production line. The computer-readable storage medium includes, for example, various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0121] This specific embodiment is merely an explanation of the present invention and is not intended to limit the invention. After reading this specification, those skilled in the art can make modifications to this embodiment without contributing any inventive step, but such modifications are protected by patent law as long as they are within the scope of the claims of the present invention.

Claims

1. An intelligent inspection method for a chemical equipment production line, characterized in that, The method is applied to an intelligent inspection system, which includes at least an image acquisition unit for acquiring images corresponding to production equipment. The method includes: The image acquisition unit is controlled to take pictures of the production equipment to obtain a number of corresponding production image information; Determine whether the production equipment is in operation based on several production image information; If the production equipment is not operating, it is determined that the production equipment is malfunctioning. If the production equipment malfunctions, the equipment number corresponding to the production equipment is obtained; An alarm signal is generated based on the device number, and the alarm signal is sent to the staff's smart terminal; The intelligent inspection system also includes a self-cleaning device for the lens of the clean image acquisition unit, and the sending of the alarm signal to the staff's smart terminal specifically includes: The alarm signals are recorded, and the recorded alarm signals are designated as historical alarm signals, which include at least the generation time. Calculate the first time difference between the generation times of the historical alarm signals; Determine whether the first time difference is consistent; If the first time difference is consistent, control the self-cleaning device to clean the image acquisition unit; Otherwise, the alarm signal will be sent to the staff's smart terminal; The status of the historical alarm signal includes processed and unprocessed. After the self-cleaning device is controlled to clean the image acquisition unit, the following steps are also included: When the self-cleaning device is turned off, a timer is started, a timer value is generated, and the status corresponding to the historical alarm signal is changed to "processed". The time value is compared with a preset standard time value; When the timeout value reaches the standard time value, the status of checking whether there are historical alarm signals is unprocessed. If any of the historical alarm signals are in an unprocessed state, a termination command is generated and sent to the staff's smart terminal. The process of generating a termination command and sending the termination command to the staff's smart terminal specifically includes: Calculate the second time difference between the generation times of the historical alarm signals; If the second time difference value is consistent, then obtain the unit number corresponding to the image acquisition unit; An alarm signal is generated based on the unit number and sent to the staff's smart terminal.

2. The method according to claim 1, characterized in that, The step of generating an alarm signal based on the device number specifically includes: Obtain the equipment operating parameters corresponding to the production equipment; The device operating parameters are compared with the endpoint values ​​of a preset standard operating parameter range; If the operating parameters of the device exceed or fail to reach the standard operating parameter range, an alarm signal will be generated.

3. The method according to claim 2, characterized in that, After comparing the device operating parameters with the endpoint values ​​of a preset standard operating parameter range, the method further includes: If the equipment operating parameters are within the standard operating parameter range The system queries the preset maintenance database for the most recent maintenance time based on the equipment number. Get the current time value; Calculate the time difference between the current time value and the time of the most recent maintenance. The time difference between the current time value and the time of the most recent maintenance is recorded as the safe operating time value; The safe operating time value is compared with the preset standard safe operating time value; If the safe operating time value exceeds the standard safe operating time value, an alarm signal is generated.

4. The method according to claim 3, characterized in that, After comparing the safe operating time value with the preset standard safe operating time value, the method further includes: If the safe operating time value does not exceed the standard safe operating time value, then the number of repairs is searched in the preset maintenance record table; Compare the number of repairs to the standard number of repairs; If the number of repairs exceeds the standard number of repairs, an alarm signal will be generated.

5. An intelligent inspection device for a chemical equipment production line, applied to the method described in any one of claims 1-4, characterized in that, The device includes: The image acquisition module (301) is used to control the image acquisition unit to take pictures of the production equipment and obtain a number of corresponding production image information; The action judgment module (302) is used to determine whether the production equipment is in motion based on several production image information. Anomaly detection module (303) is used to determine that the production equipment is abnormal if the production equipment is not operating. The number acquisition module (304) is used to acquire the equipment number corresponding to the production equipment if the production equipment malfunctions. The signal generation module (305) is used to generate an alarm signal according to the device number and send the alarm signal to the staff's smart terminal.

6. A computer device, characterized in that, It includes a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and executed according to any one of claims 1 to 4.

7. A computer-readable storage medium, characterized in that, The computer program is stored that can be loaded by a processor and executed according to any one of claims 1 to 4.

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