Factory affair equipment monitoring system and monitoring method
By building a factory equipment monitoring system, real-time acquisition and analysis of call information, scientific decision-making problems in the shortage of equipment calls are solved, real-time dynamic monitoring and refined management of the equipment call process are realized, and the automation level and security of factory equipment management are improved.
Patent Information
- Application Number
- CN202510820518.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-06-19
- Publication Date
- 2025-07-22
- Estimated Expiration
- 2045-06-19
AI Technical Summary
The existing technology cannot effectively conduct dynamic analysis of equipment in the production stage, resulting in the inability to provide scientific and timely reference when equipment calls are in short supply, affecting the operation efficiency of the factory.
Build a factory equipment monitoring system, including tracking modules, recording modules, update modules, monitoring modules and early warning modules. By obtaining call information in real time, analyzing deviation values and feedback calling reference values, outputting exception alarms, real-time dynamic monitoring and refined management of the device calling process.
It improves the automation level and scheduling response capabilities of factory equipment management, improves the timeliness and security of equipment management, can promptly detect abnormal usage status, and provide scientific decision-making basis.
Smart Images

Figure CN120355102A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of factory facility monitoring, and particularly to a factory facility monitoring system and a monitoring method. Background Art
[0002] In modern factory facility and warehouse management, equipment call and monitoring, as an important link to ensure the efficient operation of production, are facing increasing management requirements. Traditional equipment monitoring methods mostly rely on manual inspections or simple timed data collection. Such methods have problems such as insufficient data real-time performance, limited monitoring scope, and lagged response to abnormal situations, and are difficult to meet the equipment management requirements in high-intensity and complex environments. Currently, some factory facility monitoring systems mainly focus on the static recording of equipment status, fail to fully utilize historical data to deeply analyze the equipment mobilization rules, and thus cannot construct standard call paths and standard call durations, lacking the ability to provide real-time feedback on the deviation situations during the actual equipment call process. This results in the inability to provide scientific and timely reference bases for management personnel when equipment calls fail or scheduling is abnormal, reducing the efficiency of equipment resource scheduling and utilization. As a result, digital factory facility monitoring technologies have emerged.
[0003] For example, in the prior art, Chinese Patent Publication No.: CN116843497A discloses a multi-dimensional intelligent factory facility monitoring system based on Internet of Things technology, including: a production stage monitoring module, a production output monitoring module, a production management module, a quality monitoring module, an execution terminal, and a database. By obtaining the basic parameters of each production stage corresponding to each marked area in the factory area during the current monitoring period, and analyzing the stage evaluation coefficients corresponding to each marked area in the factory area during the current monitoring period, and at the same time analyzing the output evaluation coefficients corresponding to each marked area in the factory area during the current monitoring period, the production management evaluation coefficients corresponding to each marked area in the factory area during the current monitoring period are comprehensively analyzed, avoiding inaccurate data caused by manual statistical analysis.
[0004] However, although the above solution realizes the digitization of factory facility monitoring, in terms of equipment management in production management, it lacks the dynamic analysis of equipment related to the production stage, and thus cannot provide effective technical support when equipment calls are in short supply, affecting the operation efficiency of the factory area. Summary of the Invention
[0005] The purpose of the present invention is to provide a factory facility monitoring system and a monitoring method to solve the problem in the prior art that the dynamic analysis of equipment related to the production stage cannot be taken into account, resulting in the inability to provide effective technical support when equipment calls are in short supply, and thus affecting the operation efficiency of the factory area.
[0006] To this end, on the one hand, the present invention provides a plant facility monitoring system, which includes a tracking module, a recording module, an updating module, a monitoring module and an early warning module; the tracking module is used to obtain the call information of each current calling end, the recording module is connected to the tracking module and is configured to record the historical call information and the corresponding calling end, the updating module is connected to the recording module, and the updating module generates at least one standard call information of the corresponding type of equipment based on the recorded data of the recording module after a single call ends. The monitoring module is respectively connected to the tracking module, the recording module and the updating module, and the monitoring module is configured to, in response to a call failure of any calling end, analyze the difference between the call information of the calling end of the corresponding type of equipment with the call failure and the standard call information to determine the deviation value, and accumulate the deviation values of each calling end of the corresponding type of equipment with the call failure as the call reference value, and feedback the call reference value to the calling end with the call failure. The early warning module is connected to the monitoring module, accumulatively analyzes the deviation values determined each time by the monitoring module, and outputs an abnormal use warning in response to an abnormal state of the deviation value;
[0007] Wherein, the call information includes the call path and the call duration of each node in the call path, and the standard call information includes the standard call path of various types of equipment and the standard call duration of each node in the historical call information.
[0008] As a preferred technical solution of the plant facility monitoring system, the monitoring module is configured to execute the following process to determine the deviation value:
[0009] Based on the current call path obtained by the tracking module, match it with the standard call information in the recording module to determine the path similarity between the current call path and the standard call path;
[0010] Calculate the time difference between the call duration of each node in the current call path and the standard call duration, and exclude the cases where the time difference is negative, and sum the remaining time differences as the time difference degree;
[0011] Determine the deviation value based on the path similarity and the time difference degree;
[0012] Wherein, the deviation value is negatively correlated with the path similarity and positively correlated with the time difference degree.
[0013] As a preferred technical solution of the plant facility monitoring system, when the monitoring module outputs the call reference value to the calling end with the call failure, it also outputs the current call information of the calling end with the call duration greater than the preset duration and the lowest deviation value.
[0014] As a preferred technical solution of the plant facility monitoring system, the updating module is configured to execute the following process to determine the standard call path;
[0015] Classify the historical call information based on the device type;
[0016] Statistically analyze the call paths of various types of devices, and respectively use the call path with the highest frequency of occurrence in each type of device as the standard call path for the corresponding type of device.
[0017] As an optimal technical solution of the plant facility monitoring system, the update module is configured to execute the following process to determine the standard call duration of each node in the historical call information;
[0018] Statistically analyze the historical call durations of each node;
[0019] Use the average value of the historical call durations as the standard call duration of the node.
[0020] As an optimal technical solution of the plant facility monitoring system, the abnormal states responded by the early warning module include that the cumulative deviation value of the calling end exceeds the threshold, and that a new node appears in the call path.
[0021] As an optimal technical solution of the plant facility monitoring system, the plant facility monitoring system further includes a level conversion module, and the level conversion module converts the call reference value into multiple levels to represent the waiting degree required for the call of the calling end with a call failure.
[0022] As an optimal technical solution of the plant facility monitoring system, the plant facility monitoring system further includes a node division module, and the node division module is configured to execute the following process to determine the nodes in the call path:
[0023] Location parsing of the historical call information;
[0024] Analyze the equipment stay frequencies in each plant facility area, and determine the plant facility areas with equipment stay frequencies greater than the preset frequency as the nodes in the call path.
[0025] As an optimal technical solution of the plant facility monitoring system, the tracking module specifically includes:
[0026] A data acquisition unit for interacting with the equipment to obtain the calling end and the call duration;
[0027] A positioning unit for positioning the equipment location and generating a call path;
[0028] A data transmission unit for respectively outputting the calling end, the call duration, and the call path to the recording module and the monitoring module.
[0029] On the other hand, the present invention further provides a plant facility monitoring method, which is applied to the plant facility monitoring system according to any of the above solutions, and includes:
[0030] Obtain and record the call information of the calling end in real time;
[0031] In response to the failure of any calling end to make a call, determine and output the call reference value;
[0032] Identify the abnormal state of the calling end, and output an abnormal call warning in response to the abnormal state of any calling end.
[0033] The beneficial effects of the present invention are:
[0034] The plant facility monitoring system of the present invention can perform quantitative feedback on the current call status when a call fails by constructing a multi-module collaborative working mechanism. Users can analyze the controllability of waiting calls based on the feedback results, and can realize real-time dynamic monitoring and refined management of the equipment calling process, thereby effectively improving the automation level and scheduling response ability of plant facility management.
[0035] Furthermore, the tracking module of the present invention can improve the timeliness of equipment management through real-time call information acquisition, and can provide data support for subsequent feedback in a timely manner when the user fails to call the equipment, that is, when the stock of the same type of equipment has been called to zero.
[0036] Furthermore, the update module of the present invention dynamically updates the standard call information, improving the fit between the feedback data and the current state while ensuring subsequent data support.
[0037] In particular, when a call failure occurs, the monitoring module of the present invention performs differential analysis on each calling end of the corresponding equipment type and quantifies it as a deviation value. The higher the deviation value, the more difficult it is to predict and control the call path and duration of the equipment. Summing up the deviation values of each calling end and using it as the call reference value to feedback to the calling end with call failure can assist the calling end with call failure to analyze the instability of waiting calls, and then assist the calling end in making decisions. Moreover, when the monitoring module outputs the call reference value to the calling end with call failure, it also outputs the current call information of the calling end with the call duration greater than the preset duration and the lowest deviation value. The purpose of this information feedback is to provide the user with a calling device that may stop calling in a relatively short time and can be stably predicted and somewhat controllable to a certain extent. The user can make further decisions based on this feedback result combined with the call reference value.
[0038] Furthermore, through the warning mechanism of the warning module, the abnormal usage state of the equipment can be detected in a timely manner, further exerting the configuration function of the tracking module and improving the safety of plant facility monitoring. BRIEF DESCRIPTION OF THE DRAWINGS
[0039] Figure 1 It is the structural block diagram of the plant facility monitoring system in the embodiment of the present invention Figure 1 ;
[0040] Figure 2 is the structural block diagram of the plant facility monitoring system in the embodiment of the present invention Figure 2 ;
[0041] Figure 3 is the structural block diagram of the tracking module in the embodiment of the present invention;
[0042] Figure 4 is the flowchart of the plant facility monitoring method in the embodiment of the present invention. Detailed implementation manners
[0043] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.
[0044] In the description of the present invention, it should be noted that unless otherwise clearly defined and limited, the terms "installed", "connected" and "connected" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection or an integral connection; it can be a mechanical connection or an electrical connection; it can be directly connected or indirectly connected through an intermediate medium, and it can be the communication inside two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific situations.
[0045] The embodiments of the present invention will be described in detail below. Examples of the embodiments are shown in the accompanying drawings, where the same or similar reference numerals indicate the same or similar elements or elements with the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary only for explaining the present invention and should not be construed as a limitation of the present invention.
[0046] Such as Figure 1As shown in the figure, the present invention provides a plant facility monitoring system, which includes a tracking module, a recording module, an updating module, a monitoring module, and an early warning module; the tracking module is used to obtain the call information of each current calling end, the recording module is connected to the tracking module and is configured to record the historical call information and the corresponding calling end, the updating module is connected to the recording module, and the updating module generates at least one standard call information of the corresponding type of equipment based on the recorded data of the recording module after a single call ends. The monitoring module is respectively connected to the tracking module, the recording module, and the updating module. The monitoring module is configured to, in response to a call failure of any calling end, analyze the difference between the call information of the calling end of the corresponding type of equipment for the call failure and the standard call information to determine the deviation value, and accumulate the deviation values of each calling end of the corresponding type of equipment for the call failure as the call reference value, and feedback the call reference value to the calling end with the call failure. The early warning module is connected to the monitoring module, accumulatively analyzes the deviation values determined by the monitoring module each time, and outputs an abnormal use warning in response to the abnormal state of the deviation value;
[0047] Among them, the call information includes the call path and the call duration of each node in the call path, and the standard call information includes the standard call path of various types of equipment and the standard call duration of each node in the historical call information.
[0048] In the above embodiment, by constructing a multi-module collaborative working mechanism, it is possible to perform quantitative feedback on the current call status when a call fails. The user can analyze the controllability of waiting for a call based on the feedback result, and can realize real-time dynamic monitoring and refined management of the equipment call process, thereby effectively improving the automation level and scheduling response ability of plant facility management. On the basis of the above technical effects, when a call failure occurs, the monitoring module performs differential analysis on each calling end of the corresponding equipment type and quantifies it as a deviation value. The higher the deviation value, the more difficult it is to predict and uncontrollable the call path and duration of the equipment. Accumulating the deviation values of each calling end and using it as the call reference value and feedbacking it to the calling end with the call failure can assist the calling end with the call failure to analyze the instability of waiting for a call, and then assist the calling end in making a decision. Moreover, when the monitoring module outputs the call reference value to the calling end with the call failure, it also outputs the current call information of the calling end with the call duration greater than the preset duration and the lowest deviation value. The purpose of this information feedback is to provide the user with a calling device that may stop calling in a relatively short time and can be stably predicted and controllable to a certain extent. The user can make further decisions based on this feedback result combined with the call reference value.
[0049] Specifically, the monitoring module is configured to execute the following process to determine the deviation value:
[0050] Based on the current call path obtained by the tracking module, match it with the standard call information in the recording module to determine the path similarity between the current call path and the standard call path;
[0051] Calculate the time difference between the call duration of each node in the current call path and the standard call duration. After excluding the cases where the time difference is negative, sum the remaining time differences as the time difference degree;
[0052] Determine the deviation value based on the path similarity and the time difference degree;
[0053] Among them, the deviation value is negatively correlated with the path similarity and positively correlated with the time difference degree.
[0054] Exemplarily, the path similarity is the number K1 of the same nodes in the current call path and the standard call path. The determination of the deviation value includes:
[0055] Calculate the ratio M of the number K1 of the same nodes to the number K0 of nodes in the standard call path;
[0056] Calculate the ratio N of the time difference degree T1 to the total call duration T0 of each node in the standard call path;
[0057] Take the difference N - M between N and M as the deviation value. In implementation, the deviation value can also be determined by other means, as long as it satisfies the correlation constraint that the deviation value is negatively correlated with the path similarity and positively correlated with the time difference degree.
[0058] Specifically, while the monitoring module outputs the call reference value to the call end with a call failure, it also outputs the current call information of the call end whose call duration is greater than the preset duration and whose deviation value is the lowest. Specifically, the preset duration can be calibrated and configured based on the device type and the actual working condition. In this embodiment, the preset duration is 50% of the total call duration T0 of each node in the standard call path.
[0059] Specifically, the update module is configured to execute the following process to determine the standard call path;
[0060] Classify the historical call information based on the device type;
[0061] Statistically analyze the call paths of various types of devices, and respectively use the call path with the highest frequency of occurrence in each type of device as the standard call path for the corresponding type of device. Specifically, by statistically counting the frequencies of the call paths of each device, the most commonly used call path is identified therefrom. The path with the highest frequency often represents the optimal or most common call pattern during the normal use of the device. Using it as the standard call path can provide an objective and scientific reference basis for the subsequent calculation of the call deviation value by the system. At the same time, this method has the advantages of automation and dynamic adjustment, and can update the standard call path in real time as the historical data accumulates continuously to adapt to the changes in the actual usage situation. After determining the standard call path, the update module is configured to execute the following process to determine the standard call duration of each node in the historical call information;
[0062] Statistically count the call durations of each node in each instance;
[0063] Take the average value of the call durations in each instance as the standard call duration of the node.
[0064] Specifically, the abnormal states responded by the warning module include that the cumulative deviation value of the calling end (i.e., the sum of the deviation values of each call of the calling end) exceeds the threshold (the threshold in this embodiment is 1 and can be adjusted according to the actual working conditions), and that a new node appears in the call path. In the above embodiment, based on the comparison of historical data and the analysis of real-time call behavior, through the monitoring of the cumulative deviation value, the abnormal usage trend of the calling end can be effectively identified, and potential faults of the device or deviations in the call strategy can be warned in advance. At the same time, through the detection of new nodes, the system can discover the structural changes in the call path to ensure the controllability and stability of the device call process.
[0065] Please refer to Figure 2 As shown, the plant facility monitoring system further includes a level conversion module and a node division module. The level conversion module is connected to the monitoring module, and the node division module is connected to the recording module. The level conversion module converts the call reference value into multiple levels to represent the waiting degree required for the call of the calling end with a call failure. Specifically, the level conversion module receives the call reference value output by the monitoring module and maps the value to a preset multiple levels according to the set grading rules. Exemplarily, in this embodiment, the call reference value is divided into the following five levels: Level 1 to Level 5, and the call reference value is mapped to different levels by configuring a function for mapping the call reference value to different levels. In this embodiment, a piecewise linear mapping method is adopted to convert the call reference values in different intervals into the corresponding call levels. The purpose of level division is to enable the calling end with a call failure to quickly understand the call difficulty, which is more intuitive than the data.
[0066] The node division module is configured to execute the following process to determine the nodes in the call path:
[0067] Location parsing of historical call information;
[0068] Analyze the equipment stay frequency in each facility area, and determine the facility areas where the equipment stay frequency is greater than the preset frequency (3 times in this embodiment) as the nodes in the call path. The usage frequency of each area during the equipment call process is reflected through historical data, so as to accurately identify the key nodes in the call path. Using the preset threshold as the judgment basis can reduce the misjudgment risk caused by occasional stay data while ensuring the accuracy of node identification. It has the characteristics of automation and data-driven, and can dynamically update the node distribution of the call path according to the actual usage situation, providing an accurate regional division basis for subsequent standard call information generation and deviation value analysis.
[0069] Please refer to Figure 3 as shown, the tracking module specifically includes:
[0070] A data acquisition unit for interacting with the equipment to obtain the call end and call duration;
[0071] A positioning unit for positioning the equipment location and generating a call path;
[0072] A data transmission unit for outputting the call end, call duration, and call path to the recording module and monitoring module respectively.
[0073] Please refer to Figure 4 as shown, this embodiment also provides a method for monitoring plant equipment, including:
[0074] Step S1, obtain and record the call information of the call end in real time;
[0075] Step S2, in response to the call failure of any call end, determine the call reference value and output it;
[0076] Step S3, identify the abnormal state of the call end, and output an abnormal call warning in response to the abnormal state of any call end. In the above embodiment, through the real-time acquisition of call information, the timeliness of equipment management can be improved. When the user's call fails, that is, when the stock of the same type of equipment has been called to zero, data support can be provided for subsequent feedback in the first time. And the above warning mechanism can timely detect the abnormal usage state of the equipment, further play the configuration function of the tracking module, and improve the safety of plant equipment monitoring.
[0077] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architectures, functions, and operations of devices, methods, and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagram may represent a module, a segment of a program, or a part of code that contains one or more executable instructions for implementing a specified logical function. It should also be noted that, in some alternative implementations, the functions marked in the blocks may occur in a different order than that marked in the accompanying drawings. For example, two consecutive blocks shown may actually be executed substantially in parallel, and they may sometimes be executed in the reverse order, depending on the functions involved. It should also be noted that each block in the block diagram and / or flowchart, and combinations of blocks in the block diagram and / or flowchart, may be implemented by a dedicated hardware-based device that performs the specified functions or operations, or may be implemented by a combination of dedicated hardware and computer instructions.
[0078] Obviously, the above embodiments of the present invention are merely examples for clearly illustrating the present invention, rather than limiting the implementation manners of the present invention. For those of ordinary skill in the art, other different forms of changes or modifications can be made based on the above description. It is not necessary and impossible to list all the implementation manners here. Any modifications, equivalent replacements, and improvements made within the spirit and principle of the present invention shall be included in the protection scope of the claims of the present invention.
Claims
1. A plant facility monitoring system, characterized in that, Including: A tracking module for obtaining the call information of each current calling end; A recording module connected to the tracking module, configured to record historical call information and the corresponding calling ends; An updating module connected to the recording module. After a single call ends, the updating module generates at least one standard call information for the corresponding type of device based on the recorded data of the recording module; A monitoring module connected to the tracking module, the recording module and the updating module respectively. The monitoring module is configured to, in response to a call failure of any calling end, analyze the difference between the call information of the calling end corresponding to the call failure and the standard call information of the corresponding type of device to determine the deviation value, and accumulate the deviation values of the calling ends corresponding to the call failure of the corresponding type of device as the call reference value, and feedback the call reference value to the calling end where the call fails; An early warning module connected to the monitoring module, accumulating and analyzing the deviation values determined by the monitoring module each time, and outputting an abnormal use warning in response to an abnormal state of the deviation value; Wherein, the call information includes the call path and the call duration of each node in the call path, and the standard call information includes the standard call path of various types of devices and the standard call duration of each node in the historical call information.
2. The plant facility monitoring system according to claim 1, characterized in that The monitoring module is configured to execute the following process to determine the deviation value: Based on the current call path obtained by the tracking module, match it with the standard call information in the recording module to determine the path similarity between the current call path and the standard call path; Calculate the time difference between the call duration of each node in the current call path and the standard call duration, and exclude the cases where the time difference is negative, and sum the remaining time differences as the time difference degree; Determine the deviation value based on the path similarity and the time difference degree; Wherein, the deviation value is negatively correlated with the path similarity and positively correlated with the time difference degree.
3. The plant facility monitoring system according to claim 1, wherein, When the monitoring module outputs the call reference value to the calling end where the call fails, it also outputs the current call information of the calling end with a call duration greater than the preset duration and the lowest deviation value.
4. The plant facility monitoring system according to claim 1, characterized in that, The updating module is configured to execute the following process to determine the standard call path; Classify the historical call information based on the device type; Statistically analyze the call paths of various types of devices, and respectively take the call path with the highest frequency of occurrence in various types of devices as the standard call path of the corresponding type of device.
5. The plant facility monitoring system according to claim 4, characterized in that, The updating module is configured to execute the following process to determine the standard call duration of each node in the historical call information; Statistically analyze the historical call duration of each node; Take the average value of the historical call durations as the standard call duration of the node.
6. The plant facility monitoring system according to claim 1, wherein The abnormal states responded by the early warning module include that the cumulative deviation value of the calling end exceeds the threshold, and a new node appears in the call path.
7. The plant facility monitoring system according to claim 1, wherein, The plant facility monitoring system further includes a level conversion module, which converts the call reference value into multiple levels to represent the waiting degree required for the call of the calling end where the call fails.
8. The plant facility monitoring system according to claim 1, wherein The plant facility monitoring system further includes a node division module, which is configured to execute the following process to determine the nodes in the call path: Location parsing of historical call information; Analyze the equipment stay frequency in each facility area, and determine the facility areas with equipment stay frequency greater than the preset frequency as the nodes in the call path.
9. The plant facility monitoring system according to claim 1, wherein The tracking module specifically includes: A data acquisition unit for performing data interaction with the equipment to obtain the call end and the call duration; A positioning unit for positioning the equipment location and generating a call path; A data transmission unit for outputting the call end, the call duration, and the call path to the recording module and the monitoring module respectively.
10. A plant facility monitoring method, characterized in that, Applied to the facility equipment monitoring system according to any one of claims 1-9, including: Real-time obtain and record the call information of the call end; In response to the failure of any call end to make a call, determine and output a call reference value; Identify the abnormal state of the call end, and output an abnormal call alarm in response to the abnormal state of any call end.
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