A packaging equipment monitoring system based on data analysis

Abstract

The present invention discloses a packaging equipment monitoring system based on data analysis, which belongs to the technical field of packaging equipment monitoring, and comprises an equipment analysis module, a modification module and a monitoring module; the equipment analysis module is used for analyzing the packaging equipment, determining the monitoring items corresponding to the packaging equipment and the monitoring methods corresponding to the monitoring items; the modification module is used for monitoring and modifying the packaging equipment, obtaining the corresponding monitoring items and the monitoring methods, and modifying the packaging equipment according to the monitoring items and the monitoring methods; the monitoring module is used for real-time monitoring of the packaging equipment, obtaining the monitoring data corresponding to the monitoring items, verifying the monitoring data, obtaining the verification results, and displaying the verification results in real time in a preset display interface; through the mutual cooperation among the equipment analysis module, the modification module and the monitoring module, intelligent monitoring of packaging equipment without intelligent monitoring is realized, and the problems of low efficiency and susceptibility to restrictions of manual monitoring are solved.

Description

[0001] This application is a divisional application of the application filed on October 7, 2023, with application number 202311279269.3 and invention name “A packaging equipment monitoring system based on data analysis”. Technical Field

[0002] The invention belongs to the technical field of packaging equipment monitoring, and in particular is a packaging equipment monitoring system based on data analysis. Background Art

[0003] Packaging equipment refers to equipment that can complete all or part of the product and commodity packaging process. The packaging process includes the main processes such as filling, wrapping, and sealing, as well as related processes before and after, such as cleaning, stacking, and disassembly. In addition, packaging also includes processes such as metering or stamping on the package. Using mechanical packaging products can improve productivity, reduce labor intensity, adapt to the needs of large-scale production, and meet the requirements of cleanliness and hygiene.

[0004] Existing packaging equipment monitoring is usually managed based on manual experience and judged based on the performance characteristics of the packaging equipment during use. However, manual monitoring has the disadvantages of low efficiency and personnel limitations, especially in small and medium-sized production enterprises. Due to the limitations of their own technical and management capabilities, it is difficult for small and medium-sized production enterprises to use highly intelligent and automated packaging systems like large production enterprises. Due to the limitations of their own technical and management capabilities, it is difficult for small and medium-sized production enterprises to perform intelligent monitoring of the packaging equipment without intelligent monitoring that they are currently using, resulting in the only way to monitor it is through manual methods.

[0005] Therefore, in order to solve the current problem of enterprises' demand for intelligent monitoring of packaging equipment without intelligent monitoring function, the present invention provides a packaging equipment monitoring system based on data analysis. Summary of the invention

[0006] In order to solve the problems existing in the above solutions, the present invention provides a packaging equipment monitoring system based on data analysis.

[0007] The purpose of the present invention can be achieved through the following technical solutions:

[0008] A packaging equipment monitoring system based on data analysis, including an equipment analysis module, a modification module and a monitoring module;

[0009] The equipment analysis module is used to analyze the packaging equipment and determine the monitoring items corresponding to the packaging equipment and the monitoring methods corresponding to the monitoring items.

[0010] Furthermore, the working method of the device analysis module includes:

[0011] Acquire packaging equipment information, collect corresponding fault data based on the packaging equipment information, and set corresponding monitoring points according to the fault data;

[0012] Set each candidate monitoring method corresponding to each of the monitoring points, evaluate each of the candidate monitoring methods, and obtain a corresponding evaluation value; eliminate the candidate monitoring methods whose evaluation values ​​are lower than a threshold value X1, and set monitoring items according to the remaining monitoring points with the candidate monitoring methods; and set the candidate monitoring method with the highest evaluation value as the target monitoring method of the monitoring item.

[0013] Furthermore, the setting method of the selected monitoring method includes:

[0014] Establishing a fault monitoring library, wherein the fault monitoring library is used to store monitoring methods for various fault types under different circumstances;

[0015] According to the packaging equipment information, monitoring points and corresponding fault types, the corresponding candidate monitoring methods are matched from the fault monitoring library.

[0016] Further, the method of evaluating the selected monitoring methods includes:

[0017] Analyze the application value corresponding to the selected monitoring method according to the packaging equipment information, and mark the application value as AP;

[0018] Obtaining an estimated cost of the candidate monitoring method, and marking the estimated cost as CO;

[0019] Count the proportion of the fault types corresponding to the selected monitoring methods, and mark the proportion of the fault types as c;

[0020] According to the evaluation formula EV=b1×AP-b2×(CO 1.19 ÷c) calculate the corresponding evaluation value EV; where b1 and b2 are proportional coefficients, with a value range of 0 <b1≤1,0<b2≤1。

[0021] The modification module is used to monitor and modify the packaging equipment, obtain corresponding monitoring items and monitoring methods, and modify the packaging equipment according to the monitoring items and monitoring methods.

[0022] Furthermore, modification tutorials are provided according to the modification needs of the enterprise.

[0023] The monitoring module is used to monitor the packaging equipment in real time, obtain monitoring data corresponding to each monitoring item, verify the monitoring data, obtain verification results, and display the verification results in real time in a preset display interface.

[0024] Furthermore, the method for verifying the monitoring data includes:

[0025] Identify the fault type corresponding to each monitoring item and set the corresponding fault reference range;

[0026] The monitoring data is analyzed and compared with the corresponding fault reference range to obtain the corresponding verification result.

[0027] Furthermore, it also includes an installation module, which is used to provide installation guidance to the auxiliary demand enterprises and determine the target installation points of the monitoring equipment corresponding to the monitoring items.

[0028] Furthermore, the working method of the installation module includes:

[0029] Establishing an installation matching library, the installation matching library is used to store candidate device installation data, the candidate device installation data includes candidate device information, optimization items, installation point coordinates, initial priority value and discount value;

[0030] Match the corresponding candidate equipment installation data according to the packaging equipment and monitoring items of the auxiliary demand enterprise; identify each candidate installation point and obtain the initial priority value corresponding to each candidate installation point;

[0031] The auxiliary demand enterprise determines the discount value corresponding to each of the to-be-selected installation points;

[0032] The initial priority value and discount value are marked as CST and ZC respectively, and the corresponding installation value AM is calculated according to the installation evaluation formula AM=CST-ZC, and the candidate installation point with the highest installation value is selected as the target installation point, wherein the value range of the initial priority value is [80, 100], and the value range of the discount value is [0, 100].

[0033] Compared with the prior art, the present invention has the following beneficial effects:

[0034] Through the cooperation between the equipment analysis module, modification module and monitoring module, intelligent monitoring of packaging equipment without intelligent monitoring is realized, solving the problem of low efficiency and susceptibility to restrictions of manual monitoring. Through the setting of the equipment analysis module, it helps enterprises to conduct intelligent analysis of packaging equipment, determine the monitoring items suitable for the enterprise, and provide corresponding monitoring methods for the enterprise, so that enterprises can modify packaging equipment that cannot be intelligently monitored without sufficient relevant professional knowledge, and provide technical support for solving the current enterprise's demand for intelligent monitoring of packaging equipment without intelligent monitoring function. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0036] Figure 1 This is a principle block diagram of the present invention. DETAILED DESCRIPTION

[0037] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. 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.

[0038] like Figure 1 As shown, a packaging equipment monitoring system based on data analysis includes an equipment analysis module, a modification module and a monitoring module;

[0039] The equipment analysis module is used to analyze the packaging equipment and determine the corresponding monitoring items; the specific process is as follows:

[0040] Obtain packaging equipment information, including equipment brand, type, model and other related equipment data; obtain various fault data of the packaging equipment based on the obtained packaging equipment information and current big data technology, identify the various fault types in the fault data, and count the corresponding proportions of each fault type; identify the corresponding monitoring points of each fault type on the packaging equipment. The monitoring point is the location on the packaging equipment that needs to be monitored if the corresponding fault type is to be monitored.

[0041] According to the monitoring point and the corresponding fault type, various candidate monitoring methods that can realize the monitoring of the monitoring point are determined. The candidate monitoring methods are all existing monitoring technologies or monitoring methods adapted based on existing technologies, such as video monitoring, program development monitoring, etc., and their monitoring functions can be realized by using relevant technologies; specifically, various fault types that may occur in packaging equipment can be summarized, and monitoring methods for various fault types under different packaging equipment conditions can be manually set. After summarizing, a corresponding fault monitoring library is established, and corresponding monitoring methods are matched according to packaging equipment information, monitoring points and corresponding fault types, and marked as candidate monitoring methods.

[0042] Evaluate each monitoring point from the perspective of the implementation of the candidate monitoring methods to obtain the evaluation values of the candidate monitoring methods at each monitoring point. Eliminate the candidate monitoring methods with evaluation values lower than the threshold X1, and set the monitoring items according to the monitoring points where there are still candidate monitoring methods left; that is, monitor this type of fault at this monitoring point, and select the remaining candidate monitoring method with the highest evaluation value as the target monitoring method.

[0043] Among them, the methods for evaluating the candidate monitoring methods include:

[0044] Estimate the cost of the candidate monitoring method and mark it as the estimated cost; analyze the application situation of the candidate monitoring method on this packaging equipment, that is, judge whether it can be applied. If it can be applied, determine what modifications are needed to implement the candidate monitoring method, and set the corresponding application value according to the modification of the packaging equipment; the larger the application value, the more suitable the candidate monitoring method is for application on the packaging equipment. For example, for the video monitoring method, installing the corresponding video monitoring equipment and supporting the corresponding analysis program can be achieved, and the modification can be realized without affecting the operation of the packaging equipment, and the application value is the full value of 100; if the control program of the packaging equipment needs to be modified to obtain its operating parameters, if the packaging equipment can be modified, but the modification will greatly affect the operation of the packaging equipment, the application value will be gradually reduced according to the degree of influence. If it cannot be applied, the application value is 0, and others are between 0 and 100; the degree of influence of different packaging equipment under different modifications can be preset, and then the corresponding application value can be set; after summarization, matching is carried out.

[0045] Preferably, in order to reduce the workload and realize the intelligent analysis of the application value, it can be analyzed according to the characteristics corresponding to the influence of the packaging equipment, that is, which characteristics in the packaging equipment cause adverse effects on this candidate monitoring method, and then set the application value of this candidate monitoring method under the corresponding characteristics. Integrate it into a training set manually, establish a corresponding application analysis model based on the CNN network or DNN network, train through the established training set, and analyze through the application analysis model after successful training to obtain the corresponding application value. Since the neural network is an existing technology in this field, the specific establishment and training processes are not described in detail in the present invention.

[0046] Mark the obtained application value as AP, mark the estimated cost as CO, and mark the proportion of the fault type corresponding to this candidate monitoring method as c;

[0047] Remove the dimension and take its numerical value for calculation. Calculate the corresponding evaluation value EV according to the evaluation formula EV = b1×AP - b2×(CO 1.19 ÷c); in the formula, b1 and b2 are both proportionality coefficients, and the value ranges are 0 < b1 ≤ 1, 0 < b2 ≤ 1, which are adjusted by enterprise managers according to their own needs.

[0048] Through the setting of the equipment analysis module, it is possible to help enterprises conduct intelligent analysis of packaging equipment, determine the monitoring items that are suitable for the enterprise, and provide enterprises with corresponding monitoring methods, so that enterprises can modify packaging equipment that cannot be intelligently monitored without sufficient relevant professional knowledge, and provide technical support to solve the current enterprise's demand for intelligent monitoring of packaging equipment without intelligent monitoring function.

[0049] The modification module is used to perform monitoring modification on the packaging equipment, obtain corresponding monitoring items and monitoring methods, perform monitoring modification on the packaging equipment according to the obtained monitoring items and monitoring methods, and realize real-time acquisition of monitoring data of corresponding monitoring items after modification.

[0050] In one embodiment, in order to facilitate enterprises to modify packaging equipment on their own in certain situations, a modification tutorial can be generated based on packaging equipment information, monitoring items and monitoring methods, and the enterprise modifies the packaging equipment based on the obtained modification tutorial.

[0051] The monitoring module is used to monitor the packaging equipment in real time, obtain the monitoring data corresponding to each monitoring item in real time, verify the obtained monitoring data, determine whether the corresponding monitoring item has an abnormal situation, obtain the verification result, and display the obtained verification result in real time in a preset display interface.

[0052] Through the mutual cooperation among the equipment analysis module, modification module and monitoring module, intelligent monitoring of packaging equipment without intelligent monitoring can be realized, solving the problems of low efficiency and susceptibility to restrictions of manual monitoring.

[0053] The display interface is set up according to the enterprise's monitoring needs, such as establishing a visual model of packaging equipment, marking the location of each monitoring item, and displaying the corresponding monitoring data and corresponding verification results in real time in the model.

[0054] Methods for verifying monitoring data include:

[0055] Identify the fault type corresponding to each monitoring item, obtain the fault manifestations corresponding to the fault type, and form a fault reference range, that is, the monitoring data range corresponding to the fault manifestation;

[0056] The acquired monitoring data is analyzed and compared with the corresponding fault reference range to obtain the corresponding verification results, including normal verification and abnormal verification; some monitoring data need to be identified, converted, etc. accordingly, and can be processed according to the corresponding existing methods.

[0057] In one embodiment, in some cases, some enterprises may think that it is cumbersome to make procedural changes, such as changing the control program of packaging equipment, etc., and generally can only accept monitoring items with minor changes such as installing a camera device, because they lack corresponding technical personnel, so that enterprises can only make small-scale improvements and optimizations; and for the above situation, in order to pursue low cost and save trouble, enterprises will install corresponding monitoring equipment according to the experience of workers, which has great one-sidedness and limitations, and it is very easy to fail to bring out the best performance of the corresponding monitoring equipment; therefore, in order to solve the above problem and realize the intelligent setting of external additional equipment, an installation module is set in this embodiment, and the installation module is used to intelligently analyze the best installation position of the monitoring device, assist the enterprise in installing the monitoring device, and bring out the best performance of the monitoring device. The specific method includes:

[0058] First, obtain each packaging equipment that may have the above background problems, analyze them according to the corresponding enterprises, and mark them as alternative equipment; determine the monitoring items that the enterprise of each alternative equipment may apply, and mark them as optimization items; set the initial priority value of each installation point of each optimization item corresponding to each alternative equipment; that is, in the space with only alternative equipment, analyze its various installation points and set the initial priority value of each installation point. The value range of the initial priority value is [80, 100]. Those below 80 are not optional installation points, and the installation points are not limited to alternative equipment, but are also allowed in the corresponding space; evaluate according to the monitoring effect that can be achieved, The monitoring effects corresponding to 80 and 100 are used as benchmarks, and the corresponding initial priority values ​​are set according to other effect differences. The above can be set manually, and experienced technicians in this field determine the possible alternative equipment, optimization items, and the initial priority values ​​of each installation point corresponding to the optimization items, as well as the discount values ​​of each installation point under the interference factors that may be encountered during the actual installation process. For example, if the corresponding installation point cannot be installed due to obstruction by objects, the discount value is 100, which is set according to the degree of influence, and the value range is [0, 100]. The alternative equipment installation data is formed, and the installation matching library is established.

[0059] Because this embodiment is applied to enterprises without technical experience, they directly purchase corresponding equipment for application, and therefore do not hire corresponding technical personnel. Therefore, data setting and installation point preset can be quickly implemented in the above manner, which has a higher installation guidance effect than the enterprise's own setting; and in the above background, the requirements for installation accuracy are not very high, which meets the application needs.

[0060] According to the enterprise's packaging equipment and monitoring items, the corresponding alternative equipment installation data is matched, each candidate installation point is identified, and the initial priority value corresponding to each candidate installation point is obtained; the enterprise selects the obstacle type corresponding to each candidate installation point, and matches the corresponding discount value according to the selected obstacle type; the obtained initial priority value and discount value are marked as CST and ZC respectively, and the corresponding installation value AM is calculated according to the installation evaluation formula AM=CST-ZC, and the candidate installation point with the highest installation value is selected as the target installation point, and the enterprise installs the corresponding monitoring equipment at the target installation point.

[0061] In order to make a distinction, the enterprise in this embodiment is marked as an auxiliary demand enterprise.

[0062] The above formulas are all calculated by removing dimensions and taking numerical values. The formula is a formula that is closest to the actual situation obtained by collecting a large amount of data and performing software simulation. The preset parameters and preset thresholds in the formula are set by technical personnel in this field according to actual conditions or obtained by simulating a large amount of data.

[0063] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A packaging equipment monitoring system based on data analysis, It is characterized in that Includes equipment analysis module, modification module and monitoring module; The equipment analysis module is used to analyze the packaging equipment and determine the monitoring items corresponding to the packaging equipment and the monitoring methods corresponding to each monitoring item; The modification module is used to monitor and modify the packaging equipment, obtain corresponding monitoring items and monitoring methods, and modify the packaging equipment according to the monitoring items and monitoring methods; The monitoring module is used to monitor the packaging equipment in real time, obtain monitoring data corresponding to each monitoring item, verify the monitoring data, obtain verification results, display the verification results in real time in a preset display interface, establish a packaging equipment visualization model, and mark the position of each monitoring item; The working methods of the equipment analysis module include: Acquire packaging equipment information, collect corresponding fault data based on the packaging equipment information, and set corresponding monitoring points according to the fault data; Set each candidate monitoring method corresponding to each monitoring point, evaluate each candidate monitoring method, and obtain a corresponding evaluation value; eliminate the candidate monitoring methods whose evaluation values ​​are lower than the threshold value X1, and set monitoring items according to the remaining monitoring points with the candidate monitoring methods; and set the candidate monitoring method with the highest evaluation value as the target monitoring method of the monitoring item; The setting methods of the selected monitoring methods include: Establishing a fault monitoring library, wherein the fault monitoring library is used to store monitoring methods for various fault types under different circumstances; Matching the corresponding monitoring method to be selected from the fault monitoring library according to the packaging equipment information, monitoring points and corresponding fault types; Methods for evaluating candidate monitoring methods include: Analyze the application value corresponding to the selected monitoring method according to the packaging equipment information, and mark the application value as AP; Obtaining an estimated cost of the candidate monitoring method, and marking the estimated cost as CO; Count the proportion of the fault types corresponding to the selected monitoring methods, and mark the proportion of the fault types as c; According to the evaluation formula EV=b1×AP-b2×(CO 1.19 ÷c) calculate the corresponding evaluation value EV, where b1 and b2 are proportional coefficients, ranging from 0 <b1≤1,0<b2≤1。 2. A packaging equipment monitoring system based on data analysis according to claim 1, It is characterized in that The modification module provides modification tutorials based on the company's modification needs.

3. A packaging equipment monitoring system based on data analysis according to claim 1, It is characterized in that The methods for verifying monitoring data include: Identify the fault type corresponding to each monitoring item and set the corresponding fault reference range; The monitoring data is analyzed and compared with the corresponding fault reference range to obtain the corresponding verification result.

4. A packaging equipment monitoring system based on data analysis according to claim 1, It is characterized in that It also includes an installation module, which is used to provide installation guidance to auxiliary demand enterprises and determine the target installation points of the monitoring equipment corresponding to the monitoring items.

5. A packaging equipment monitoring system based on data analysis according to claim 4, It is characterized in that The working methods for installing modules include: Establishing an installation matching library, the installation matching library is used to store candidate device installation data, the candidate device installation data includes candidate device information, optimization items, installation point coordinates, initial priority value and discount value; Match the corresponding candidate equipment installation data according to the packaging equipment and monitoring items of the auxiliary demand enterprise; identify each candidate installation point and obtain the initial priority value corresponding to each candidate installation point; The auxiliary demand enterprise determines the discount value corresponding to each of the to-be-selected installation points; The initial priority value and discount value are marked as CST and ZC respectively, and the corresponding installation value AM is calculated according to the installation evaluation formula AM=CST-ZC, and the candidate installation point with the highest installation value is selected as the target installation point, wherein the value range of the initial priority value is [80, 100], and the value range of the discount value is [0, 100].

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