Operation detection method and system for fireworks and firecrackers-related drug equipment

By obtaining the operating parameters of the fireworks and firecrackers -related equipment and using multiple classification models for classification, the problems that cannot be accurately detected in the existing technologies cannot accurately detect the operating status of the drug -related equipment, realize the accurate and efficient testing of the operating status of the equipment, and improve the safety. And reliability.

CN116973147BActive Publication Date: 2025-01-28JIANGSU YUDE XINGYAN INTELLIGENT TECH CO LTD
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Patent Information

Application Number
CN202310678255.2
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2023-06-08
Publication Date
2025-01-28
Estimated Expiration
2043-06-08

AI Technical Summary

Technical Problem

The prior art cannot accurately and effectively detect the operating status of fireworks and firecrackers-related equipment, resulting in low safety and reliability.

Method used

By obtaining the operating parameters of the drug -related equipment, such as temperature, current waveform, voltage waveform and speed, multiple classification models are used to classify these parameters to obtain a variety of prediction results and confirm the operating status of the device based on these prediction results.

Benefits of technology

The accurate, efficient and real -time detection of the operating status of the drug -related equipment, greatly improving safety and reliability.

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Abstract

The present invention provides an operation detection method and system for drugs-related equipment of fireworks and firecrackers, wherein the operation detection method for drugs-related equipment of fireworks and firecrackers comprises the following steps: obtaining the operation parameters of the drugs-related equipment; using multiple classification models to classify the operation parameters respectively to obtain multiple prediction results; and confirming the operation status of the drugs-related equipment according to the multiple prediction results. The operation detection method for drugs-related equipment of fireworks and firecrackers according to the present invention can accurately and efficiently perform real-time detection of the operation status of the drugs-related equipment according to the operation parameters of the drugs-related equipment, thereby greatly improving safety and reliability.
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Description

Technical Field

[0001] The present invention relates to the technical field of drug-related equipment detection, and in particular to an operation detection method for fireworks and firecrackers' drug-related equipment and an operation detection system for fireworks and firecrackers' drug-related equipment. Background Art

[0002] Fireworks and firecrackers usually have chemical mixers, chemical presses, chemical drums and other equipment. These equipment need to be operated with great care and be managed and maintained in accordance with relevant regulations. In addition, during the manufacturing process of fireworks and firecrackers, strict safety operating procedures need to be followed to ensure the safety of workers and the surrounding environment. However, during the production process, chemical equipment may leak, causing dangerous substances such as gunpowder dust to leak out, thus causing fires, explosions and other accidents.

[0003] In the related technology, it is impossible to accurately and effectively detect the operating status of drug-related equipment, so the safety and reliability are low. Summary of the invention

[0004] In order to solve the above technical problems, the present invention provides an operation detection method for drug-related equipment of fireworks and firecrackers, which can accurately and efficiently perform real-time detection of the operating status of the drug-related equipment according to the operating parameters of the drug-related equipment, thereby greatly improving safety and reliability.

[0005] The technical solution adopted by the present invention is as follows:

[0006] A method for detecting the operation of fireworks and firecrackers' drug-related equipment comprises the following steps: obtaining the operation parameters of the drug-related equipment; using multiple classification models to classify the operation parameters respectively to obtain multiple prediction results; and confirming the operation status of the drug-related equipment according to the multiple prediction results.

[0007] In one embodiment of the present invention, the operating parameters include temperature, current waveform, voltage waveform and rotation speed.

[0008] In one embodiment of the present invention, a classifier is provided in each of the classification models, and a plurality of the classification models are used to classify the operating parameters respectively to obtain a plurality of the prediction results, including: in each of the classification models, the temperature, the current waveform, the voltage waveform and the speed are normalized to obtain temperature data, current waveform data, voltage waveform data and speed data, and the temperature data, the current waveform data, the voltage waveform data and the speed data are weighted to obtain corresponding weighted data, and the weighted data are classified by the corresponding classifier to obtain the corresponding prediction result.

[0009] In one embodiment of the present invention, the operating status of the drug-related equipment is confirmed based on the multiple prediction results, including: counting the number of times each prediction result appears, and filtering the prediction result with the largest number of appearances; determining whether the prediction result with the largest number of appearances is greater than one; if not, confirming that the prediction result with the largest number of appearances is the operating status of the drug-related equipment; if yes, selecting the prediction result with the highest confidence from the prediction results with the largest number of appearances as the operating status of the drug-related equipment.

[0010] A system for detecting operation of fireworks and firecrackers' drug-related equipment, comprising: a first acquisition module, the first acquisition module is used to acquire the operation parameters of the drug-related equipment; a second acquisition module, the second acquisition module is used to classify the operation parameters respectively using multiple classification models to obtain multiple prediction results; an operation status confirmation module, the operation status confirmation module is used to confirm the operation status of the drug-related equipment according to the multiple prediction results.

[0011] In one embodiment of the present invention, the operating parameters include temperature, current waveform, voltage waveform and rotation speed.

[0012] In one embodiment of the present invention, a classifier is set in each of the classification models, and the second acquisition module is specifically used to: in each of the classification models, the temperature, the current waveform, the voltage waveform and the speed are normalized to obtain temperature data, current waveform data, voltage waveform data and speed data, and the temperature data, the current waveform data, the voltage waveform data and the speed data are weighted to obtain corresponding weighted data, and the weighted data is classified by the corresponding classifier to obtain the corresponding prediction result.

[0013] In one embodiment of the present invention, the operating status confirmation module is specifically used to: count the number of times each prediction result appears, and filter the prediction result with the largest number of occurrences; determine whether the prediction result with the largest number of occurrences is greater than one; if not, confirm that the prediction result with the largest number of occurrences is the operating status of the drug-related equipment; if yes, select the prediction result with the highest confidence from the prediction results with the largest number of occurrences as the operating status of the drug-related equipment.

[0014] Beneficial effects of the present invention:

[0015] The present invention can accurately and efficiently perform real-time detection of the operating status of drug-related equipment according to the operating parameters of the drug-related equipment, thereby greatly improving safety and reliability. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1It is a flow chart of the operation detection method of fireworks and firecrackers drug-related equipment according to an embodiment of the present invention;

[0017] Figure 2 It is a block diagram of an operation detection system for fireworks and firecrackers drug-related equipment according to an embodiment of the present invention. DETAILED DESCRIPTION

[0018] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0019] Figure 1 It is a flow chart of a method for detecting operation of fireworks and firecrackers-related drug equipment according to an embodiment of the present invention.

[0020] like Figure 1 As shown, the operation detection method of fireworks and firecrackers related drug equipment according to the embodiment of the present invention may include the following steps:

[0021] S1, obtain the operating parameters of the drug-related equipment.

[0022] In one embodiment of the present invention, the operating parameters may include temperature, current waveform, voltage waveform and rotation speed.

[0023] Among them, the power waveform detection method can be used to obtain the current waveform and voltage waveform of the drug-related equipment in real time. The temperature can include the ambient temperature and ambient humidity of the drug-related equipment and the temperature of the drug-related equipment.

[0024] S2, multiple classification models are used to classify the operating parameters respectively to obtain multiple prediction results.

[0025] Among them, the number of classification models can be an odd number, and a classifier is set in each of the classification models. For example, there can be three classification models, and each corresponding classification model can be respectively set with a decision tree, a support vector machine and a nearest neighbor algorithm.

[0026] In one embodiment of the present invention, in each of the classification models, the temperature, the current waveform, the voltage waveform and the rotational speed are normalized to obtain temperature data, current waveform data, voltage waveform data and rotational speed data, and the temperature data, the current waveform data, the voltage waveform data and the rotational speed data are weighted to obtain corresponding weighted data, and the weighted data are classified by the corresponding classifier to obtain the corresponding prediction result.

[0027] That is, each classification model can output a prediction result for a given operating parameter, for example, the machine operating status is normal, a minor fault, a major fault, etc. Moreover, each prediction result can correspond to a confidence level.

[0028] S3, confirming the operating status of the drug-related equipment based on multiple prediction results.

[0029] Specifically, first, the number of occurrences of each prediction result can be counted, and the prediction result with the most occurrences can be selected. Then, it is determined whether the prediction result with the most occurrences is greater than one. If not, the prediction result with the most occurrences is confirmed to be the operating status of the drug-related equipment; if yes, the prediction result with the highest confidence is selected from the prediction results with the most occurrences as the operating status of the drug-related equipment.

[0030] In summary, according to the operation detection method of fireworks and firecrackers drug-related equipment according to the embodiment of the present invention, the operation parameters of the drug-related equipment are obtained, and multiple classification models are used to classify the operation parameters respectively to obtain multiple prediction results, and the operation status of the drug-related equipment is confirmed according to the multiple prediction results. As a result, the operation status of the drug-related equipment can be accurately and efficiently detected in real time according to the operation parameters of the drug-related equipment, which greatly improves safety and reliability.

[0031] Corresponding to the operation detection method of fireworks and firecrackers' drug-related equipment in the above-mentioned embodiment, the present invention proposes an operation detection system for fireworks and firecrackers' drug-related equipment.

[0032] like Figure 2 As shown, the operation detection system for fireworks and firecrackers-related equipment according to the embodiment of the present invention may include: a first acquisition module 100 , a second acquisition module 200 and an operation status confirmation module 300 .

[0033] Among them, the first acquisition module 100 is used to obtain the operating parameters of the drug-related equipment; the second acquisition module 200 is used to use multiple classification models to classify the operating parameters respectively to obtain multiple prediction results; the operating status confirmation module 300 is used to confirm the operating status of the drug-related equipment based on multiple prediction results.

[0034] In one embodiment of the present invention, the operating parameters include temperature, current waveform, voltage waveform and rotation speed.

[0035] In one embodiment of the present invention, a classifier is set in each of the classification models, and the second acquisition module 200 is specifically used to: in each of the classification models, the temperature, the current waveform, the voltage waveform and the speed are normalized to obtain temperature data, current waveform data, voltage waveform data and speed data, and the temperature data, the current waveform data, the voltage waveform data and the speed data are weighted to obtain corresponding weighted data, and the weighted data is classified by the corresponding classifier to obtain the corresponding prediction result.

[0036] In one embodiment of the present invention, the operating status confirmation module 300 is specifically used to: count the number of times each prediction result appears, and filter the prediction result with the most appearances; determine whether the prediction result with the most appearances is greater than one; if not, confirm that the prediction result with the most appearances is the operating status of the drug-related equipment; if yes, select the prediction result with the highest confidence from the prediction results with the most appearances as the operating status of the drug-related equipment.

[0037] It should be noted that a more specific embodiment of the operation detection system for fireworks and firecrackers' drug-related equipment of the present invention can refer to the embodiment of the operation detection method for fireworks and firecrackers' drug-related equipment mentioned above, which will not be described in detail here.

[0038] According to the operation detection system of fireworks and firecrackers involving drugs in the embodiment of the present invention, the operation parameters of the drugs-related equipment are obtained by the first acquisition module, and the operation parameters are classified by the second acquisition module using multiple classification models to obtain multiple prediction results, and the operation status of the drugs-related equipment is confirmed according to the multiple prediction results by the operation status confirmation module. Therefore, the operation status of the drugs-related equipment can be accurately and efficiently detected in real time according to the operation parameters of the drugs-related equipment, which greatly improves safety and reliability.

[0039] In the description of the present invention, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. "Multiple" means two or more, unless otherwise clearly and specifically defined.

[0040] In the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", "connected", "fixed" and the like 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 a direct connection or an indirect connection through an intermediate medium, it can be the internal connection of two elements or the interaction relationship between two elements. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0041] In the present invention, unless otherwise clearly specified and limited, a first feature being "above" or "below" a second feature may mean that the first and second features are in direct contact, or the first and second features are in indirect contact through an intermediate medium. Moreover, a first feature being "above", "above" or "above" a second feature may mean that the first feature is directly above or obliquely above the second feature, or simply means that the first feature is higher in level than the second feature. A first feature being "below", "below" or "below" a second feature may mean that the first feature is directly below or obliquely below the second feature, or simply means that the first feature is lower in level than the second feature.

[0042] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, unless they are contradictory.

[0043] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, segment or portion of code that includes one or more executable instructions for implementing the steps of a specific logical function or process, and the scope of the preferred embodiments of the present invention includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by those skilled in the art to which the embodiments of the present invention belong.

[0044] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in combination with these instruction execution systems, devices or apparatuses. For the purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in combination with these instruction execution systems, devices or apparatuses. More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic devices), a portable computer disk box (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), a fiber optic device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium and then editing, interpreting or processing in other suitable ways if necessary, and then stored in a computer memory.

[0045] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, a plurality of steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0046] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

[0047] In addition, each functional unit in each embodiment of the present invention may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0048] The storage medium mentioned above may be a read-only memory, a magnetic disk or an optical disk, etc. Although the embodiments of the present invention have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limiting the present invention. A person of ordinary skill in the art may change, modify, replace and modify the above embodiments within the scope of the present invention.

Claims

1. A method for detecting the operation of fireworks and firecrackers-related equipment, characterized in that: The following steps are involved: Obtaining the operating parameters of the drug-related equipment; wherein the operating parameters include temperature, current waveform, voltage waveform and rotation speed; Using multiple classification models to classify the operating parameters respectively to obtain multiple prediction results; wherein a classifier is set in each of the classification models, and using multiple classification models to classify the operating parameters respectively to obtain multiple prediction results, including: in each of the classification models, normalizing the temperature, the current waveform, the voltage waveform and the speed to obtain temperature data, current waveform data, voltage waveform data and speed data, and weighting the temperature data, the current waveform data, the voltage waveform data and the speed data to obtain corresponding weighted data, and classifying the weighted data by the corresponding classifier to obtain the corresponding prediction result; Confirming the operating status of the drug-related equipment based on the multiple prediction results; wherein, confirming the operating status of the drug-related equipment based on the multiple prediction results includes: counting the number of times each prediction result appears, and filtering the prediction result with the largest number of appearances; determining whether the prediction result with the largest number of appearances is greater than one; if not, confirming that the prediction result with the largest number of appearances is the operating status of the drug-related equipment; if yes, selecting the prediction result with the highest confidence from the prediction results with the largest number of appearances as the operating status of the drug-related equipment.

2. An operation detection system for fireworks and firecrackers-related drug equipment, characterized in that: include: A first acquisition module, the first acquisition module is used to acquire the operating parameters of the drug-related equipment; wherein the operating parameters include temperature, current waveform, voltage waveform and rotation speed; A second acquisition module, the second acquisition module is used to classify the operating parameters respectively by using multiple classification models to obtain multiple prediction results; wherein a classifier is set in each of the classification models, and the second acquisition module is specifically used to: in each of the classification models, normalize the temperature, the current waveform, the voltage waveform and the speed to obtain temperature data, current waveform data, voltage waveform data and speed data, and perform weighted processing on the temperature data, the current waveform data, the voltage waveform data and the speed data to obtain corresponding weighted data, and classify the weighted data by the corresponding classifier to obtain the corresponding prediction result; An operating status confirmation module, the operating status confirmation module is used to confirm the operating status of the drug-related equipment based on the multiple prediction results; wherein the operating status confirmation module is specifically used to: count the number of times each prediction result appears, and filter the prediction result with the largest number of appearances; determine whether the prediction result with the largest number of appearances is greater than one; if not, confirm that the prediction result with the largest number of appearances is the operating status of the drug-related equipment; if yes, select the prediction result with the highest confidence from the prediction results with the largest number of appearances as the operating status of the drug-related equipment.

Citation Information

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  • Equipment detection method and device based on joint learning

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