High-temperature steam fryer operation fault analysis and diagnosis system

Abstract

The invention belongs to the technical field of steam fryer operation supervision, and particularly relates to a high-temperature steam fryer operation fault analysis and diagnosis system which comprises a steam fryer monitoring module, a fault analysis and diagnosis module, a power supply control module, a use risk assessment module, a cloud server and a user side. The operation process of the high-temperature steam fryer is monitored through the steam fryer monitoring module, and the fault analysis and diagnosis module analyzes and identifies the operation fault of the high-temperature steam fryer based on the intelligent fault identification model and determines the fault type. When it is judged that the high-temperature steam fryer has an operation fault, the power supply of the high-temperature steam fryer is cut off through the power supply control module, potential safety hazards caused by the fault are reduced, and the use risk of the corresponding high-temperature steam fryer is evaluated and analyzed through the risk evaluation module; when the high-risk signal is generated, operation supervision of the high-temperature steam fryer is enhanced, the subsequent use effect and use safety of the high-temperature steam fryer are guaranteed, and the intelligent degree is high.

Description

Technical Field

[0001] The present invention relates to the technical field of steam fryer operation supervision, and specifically to a high-temperature steam fryer operation fault analysis and diagnosis system. Background Art

[0002] The high-temperature steam fryer generates high-temperature steam through a heating system to cook food, which has the advantages of fast cooking speed and good food taste, and is suitable for cooking various ingredients such as meat, seafood, vegetables, etc. It is one of the indispensable cooking tools in modern family and commercial kitchens;

[0003] However, during the use of high-temperature steam fryers at present, it is difficult to accurately identify their operation faults and evaluate their use risks, which is not conducive to ensuring the use effect and safety of high-temperature steam fryers, and the manufacturers of high-temperature steam fryers cannot detailedly master the usage conditions of various models of products and accurately feedback the necessity of recalling corresponding products, which is not conducive to the healthy and stable development of the manufacturers and has a low degree of intelligence;

[0004] In view of the above technical defects, a solution is proposed now. Summary of the Invention

[0005] The purpose of the present invention is to provide a high-temperature steam fryer operation fault analysis and diagnosis system, which solves the problems that in the prior art, it is difficult to accurately identify the operation faults of high-temperature steam fryers and evaluate their use risks, and the manufacturers of high-temperature steam fryers cannot detailedly master the usage conditions of various models of products and accurately feedback the necessity of recalling corresponding products, and has a low degree of intelligence.

[0006] To achieve the above purpose, the present invention provides the following technical solutions:

[0007] A high-temperature steam fryer operation fault analysis and diagnosis system includes a steam fryer monitoring module, a fault analysis and diagnosis module, a power control module, a use risk assessment module, a cloud server and a user terminal; the steam fryer monitoring module monitors the operation process of the high-temperature steam fryer, collects various operation data of the high-temperature steam fryer, and sends the various operation data of the high-temperature steam fryer to the fault analysis and diagnosis module;

[0008] The fault analysis and diagnosis module preprocesses the received operation data, analyzes and identifies the operation faults of the high-temperature steam fryer based on an intelligent fault identification model and determines the fault type, generates a fault alarm message when it is determined that the high-temperature steam fryer has an operation fault, and sends the fault alarm message to the power control module, the cloud server and the user terminal;

[0009] When the power control module receives a fault alarm message, it disconnects the power supply of the high-temperature steam fryer. When the user terminal receives a fault alarm message, it issues a warning. The cloud server generates corresponding maintenance and treatment suggestion messages based on the fault alarm message and sends the maintenance and treatment suggestion messages to the user terminal;

[0010] The usage risk assessment module is used to set a detection period of L1 days. When the number of days reaches L1, it assesses and analyzes the usage risk of the corresponding high-temperature steam fryer, generates a high usage risk signal or a low usage risk signal for the corresponding high-temperature steam fryer through the analysis, and sends the high usage risk signal or the low usage risk signal of the corresponding high-temperature steam fryer to the user terminal. When the user terminal receives a high usage risk signal, it issues a warning.

[0011] Furthermore, the specific assessment and analysis process of the usage risk assessment module is as follows:

[0012] Collect the total running duration of the corresponding high-temperature steam fryer in the historical stage and mark it as the fryer operation value, and collect the interval duration from the production date of the corresponding high-temperature steam fryer to the current date and mark it as the fryer production value. Compare the fryer operation value and the fryer production value with the preset fryer operation threshold and the preset fryer production threshold respectively. If the fryer operation value or the fryer production value exceeds the corresponding preset threshold, a high usage risk signal for the corresponding high-temperature steam fryer is generated;

[0013] If both the fryer operation value and the fryer production value do not exceed the corresponding preset thresholds, collect the impact strength and impact duration when the corresponding high-temperature steam fryer is subjected to external impact, compare the impact strength and impact duration with the preset impact strength threshold and the preset impact duration threshold respectively. If both the impact strength and the impact duration exceed the corresponding preset thresholds, mark the corresponding external impact process as a harmful process;

[0014] Obtain the number of harmful processes corresponding to the high-temperature steam fryer in the historical stage and mark it as the impact hazard characteristic coefficient; compare the impact hazard characteristic coefficient with the preset impact hazard characteristic coefficient threshold. If the impact hazard characteristic coefficient exceeds the preset impact hazard characteristic coefficient threshold, a high usage risk signal for the corresponding high-temperature steam fryer is generated.

[0015] Furthermore, if the impact hazard characteristic coefficient does not exceed the preset impact hazard characteristic coefficient threshold, collect the occurrence frequency of the corresponding high-temperature steam fryer being suspended due to operation failure during the detection period and calculate the ratio with the running duration of the corresponding high-temperature steam fryer during the detection period to obtain the fryer operation-stop coefficient, and retrieve the power control abnormality coefficient of the corresponding high-temperature steam fryer during the detection period;

[0016] The usage risk assessment value is calculated by weighted summation of the real-time value of the fryer during operation, the real-time value of the fryer during production, the impact risk characteristic coefficient, the fryer operation-stop coefficient, and the power control difference coefficient. The usage risk assessment value is numerically compared with the preset usage risk assessment threshold. If the usage risk assessment value exceeds the preset usage risk assessment threshold, a high usage risk signal for the corresponding high-temperature steam fryer is generated; otherwise, a low usage risk signal is generated.

[0017] Furthermore, the usage risk assessment module is communicatively connected to the control traceability module. The control traceability module analyzes the control performance of the power control module, generates the power control difference coefficient of the corresponding high-temperature steam fryer through the analysis, and sends the power control difference coefficient of the corresponding high-temperature steam fryer to the usage risk assessment module.

[0018] Furthermore, the method for analyzing and obtaining the power control difference coefficient is specifically as follows:

[0019] Obtain the generation moment of the corresponding fault alarm information and mark it as the fault alarm moment, and collect the moment when the power control module cuts off the power of the corresponding high-temperature steam fryer and mark it as the power cut-off moment. Mark the interval duration between the power cut-off moment and the fault alarm moment as the power cut-off efficiency value;

[0020] Obtain all the power cut-off efficiency values corresponding to the high-temperature steam fryer during the detection period, calculate the mean value of all the power cut-off efficiency values to obtain the power cut-off efficiency table value, mark the maximum power cut-off efficiency value as the power cut-off risk table value, and mark the number of power cut-off efficiency values exceeding the preset power cut-off efficiency threshold during the detection period as the power cut-off efficiency difference value; The power control difference coefficient of the corresponding high-temperature steam fryer is obtained through numerical calculation of the power cut-off efficiency table value, the power cut-off risk table value, and the power cut-off efficiency difference value.

[0021] Furthermore, the cloud server is communicatively connected to the same-type recall necessity analysis module. The same-type recall necessity analysis module is used to set the monitoring period, obtain all the sold high-temperature steam fryers of the corresponding model produced during the monitoring period, and the cloud server sends the operation fault information of all the sold high-temperature steam fryers of the corresponding model produced during the monitoring period to the same-type recall necessity analysis module;

[0022] The same-type recall necessity analysis module analyzes the recall necessity of the high-temperature steam fryers of the corresponding model produced during the monitoring period, judges whether to generate an emergency recall signal through the analysis, and sends the emergency recall signal to the cloud server. The cloud server issues an alarm message to remind the high-temperature steam fryer manufacturer to recall the product.

[0023] Furthermore, the specific analysis process of the same-type recall necessity analysis module includes:

[0024] Obtain all the sold high-temperature steam fryers of the corresponding model produced within the monitoring period, mark the corresponding high-temperature steam fryer as the tracking object i, and i is a natural number greater than 1; collect all the fault information that occurred during the operation of the tracking object i in the historical stage, and classify all the occurred faults;

[0025] Obtain the number of times the corresponding type of fault occurred during the operation of the tracking object i in the historical stage and mark it as the fault tracking value, and calculate the ratio of the fault tracking value to the total operation duration of the tracking object i in the historical stage to obtain the fault characteristic value;

[0026] Obtain the fault characteristic values of all the sold high-temperature steam fryers of the corresponding model produced within the monitoring period that involve the corresponding type of fault, mark the average value of all the fault characteristic values as the fault analysis coefficient, and compare the fault analysis coefficient with the corresponding preset fault analysis coefficient threshold. If the fault analysis coefficient exceeds the corresponding preset fault analysis coefficient threshold, then mark the corresponding type of fault as a suspicious fault; if there is a suspicious fault, generate an emergency recall signal.

[0027] Furthermore, if there is no suspicious fault, collect all the types of faults involved in the tracking object i. Each type of fault is preset to correspond to a set of preset weight values greater than zero. Mark the product of the fault characteristic value of the corresponding type of fault and the corresponding preset weight value as the fault hazard value, mark the sum value of the fault hazard values of all the types of faults involved in the tracking object i as the fryer application warning value, and compare the fryer application warning value with the preset fryer application warning threshold. If the fryer application warning value exceeds the preset fryer application warning threshold, then mark the tracking object i as a non-usable object;

[0028] Obtain the ratio of the number of non-usable objects and mark it as the non-usable detection value, and calculate the average value of the fryer application warning values of all the sold high-temperature steam fryers of the corresponding model produced during the monitoring period to obtain the fryer application performance value. Calculate the weighted sum of the non-usable detection value and the fryer application performance value to obtain the recall necessity coefficient, and compare the recall necessity coefficient with the preset recall necessity coefficient threshold. If the recall necessity coefficient exceeds the preset recall necessity coefficient threshold, then generate an emergency recall signal.

[0029] Furthermore, the same-category recall necessity analysis module is communicatively connected to the manufacturer rectification warning module. The same-category recall necessity analysis module sends the emergency recall signal to the manufacturer rectification warning module. The manufacturer rectification alarm module is used to set the trace period. If an emergency recall signal is received within the trace period, then generate a manufacturer rectification alarm message and send it to the cloud server;

[0030] If no emergency recall signal is received during the tracing period, collect the sales volume, total sales profit, and the number of complaints received for the high-temperature steam fryers produced by the manufacturer during the tracing period, and mark them as the manufacturer's sales inspection value, manufacturer's profit value, and manufacturer's complaint value respectively;

[0031] Calculate the rectification warning value by performing numerical calculations on the manufacturer's sales inspection value, manufacturer's profit value, and manufacturer's complaint value. Compare the rectification warning value with the preset rectification warning threshold. If the rectification warning value exceeds the preset rectification warning threshold, generate a manufacturer rectification warning message and send it to the cloud server.

[0032] Compared with the prior art, the beneficial effects of the present invention are:

[0033] 1. In the present invention, the operation process of the high-temperature steam fryer is monitored by the steam fryer monitoring module, and the operation faults of the high-temperature steam fryer are analyzed and identified by the fault analysis and diagnosis module. When it is determined that the high-temperature steam fryer has an operation fault, the power supply of the high-temperature steam fryer is disconnected to reduce the safety hazards brought by the fault. Moreover, the usage risk of the corresponding high-temperature steam fryer is evaluated and analyzed by using the risk assessment module. When a high-risk signal is generated, the operation supervision of the high-temperature steam fryer is strengthened to ensure its subsequent usage effect and usage safety;

[0034] 2. In the present invention, the necessity of recalling the corresponding models of high-temperature steam fryers produced during the monitoring period is analyzed by the similar recall necessity analysis module, which can reasonably analyze and accurately evaluate the usage conditions of various models of high-temperature steam fryers produced within a certain period. When an emergency recall signal is generated, the high-temperature steam fryer manufacturer is reminded to recall the corresponding products, reducing the adverse impact on the development of the manufacturer. Moreover, the manufacturer rectification alarm module is used for analysis to determine whether to generate a manufacturer rectification warning message. When a manufacturer rectification warning message is generated, the manufacturer is reminded to promptly carry out corresponding rectification measures, which is beneficial to the subsequent healthy and stable development of the manufacturer. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] For the convenience of those skilled in the art to understand, the present invention will be further described below with reference to the accompanying drawings;

[0036] Figure 1 It is the system block diagram of the first embodiment in the present invention;

[0037] Figure 2 It is the system block diagram of the second and third embodiments in the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0038] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. 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.

[0039] Embodiment 1: As Figure 1 shown, a high-temperature steam fryer operation fault analysis and diagnosis system proposed by the present invention includes a steam fryer monitoring module, a fault analysis and diagnosis module, a power control module, a usage risk assessment module, a cloud server, and a user terminal; the steam fryer monitoring module is integrated with temperature sensors, pressure sensors, current sensors, etc., monitors the operation process of the high-temperature steam fryer based on various sensors, collects various operation data of the high-temperature steam fryer (including data such as temperature, pressure, and current), and sends the various operation data of the high-temperature steam fryer to the fault analysis and diagnosis module;

[0040] The fault analysis and diagnosis module preprocesses the received operation data, such as cleaning, filtering, etc., to improve the data quality, analyzes and identifies the operation faults of the high-temperature steam fryer based on an intelligent fault identification model and determines the fault type (for example, the intelligent fault identification model monitors key parameters in real time according to preset thresholds, determines that there is a fault when the parameters exceed the normal range, and deeply analyzes the corresponding warning data based on machine learning or deep learning algorithms to identify the fault type);

[0041] When it is determined that the high-temperature steam fryer has an operation fault, a fault alarm message is generated and sent to the power control module, the cloud server, and the user terminal; when the power control module receives the fault alarm message, it disconnects the power supply of the high-temperature steam fryer, the user terminal issues a warning when it receives the fault alarm message, the cloud server generates corresponding maintenance and treatment suggestion information based on the fault alarm message, and sends the maintenance and treatment suggestion information to the user terminal to facilitate the maintenance and treatment of the high-temperature steam fryer and significantly improve the maintenance efficiency.

[0042] The usage risk assessment module is used to set a detection period of L1 days. Preferably, the detection period is 30 days; when the number of days reaches L1, the usage risk of the corresponding high-temperature steam fryer is evaluated and analyzed, and a high usage risk signal or a low usage risk signal of the corresponding high-temperature steam fryer is generated through the analysis, and the high usage risk signal or the low usage risk signal of the corresponding high-temperature steam fryer is sent to the user terminal. When the user terminal receives the high usage risk signal, it issues a warning to remind the user to strengthen the operation supervision of the high-temperature steam fryer and replace the high-temperature steam fryer as needed to ensure the subsequent usage effect and usage safety; the specific evaluation and analysis process of the usage risk assessment module is as follows:

[0043] Collect the total running duration of the corresponding high-temperature steam fryer in the historical stage and mark it as the fryer running value, and collect the interval duration from the production date of the corresponding high-temperature steam fryer to the current date and mark it as the fryer production value. Compare the fryer running value and the fryer production value with the preset fryer running threshold and the preset fryer production threshold respectively. If the fryer running value or the fryer production value exceeds the corresponding preset threshold, it indicates that the high-temperature steam fryer tends to be scrapped and there are relatively large potential safety hazards in the use of the high-temperature steam fryer, then generate a high-risk signal for the use of the corresponding high-temperature steam fryer;

[0044] If both the fryer running value and the fryer production value do not exceed the corresponding preset thresholds, then collect the impact force (i.e., the data value of the average impact force of the external force impact) and the impact duration when the corresponding high-temperature steam fryer is subjected to an external force impact (such as being collided or dropped). Compare the impact force and the impact duration with the preset impact force threshold and the preset impact duration threshold respectively. If both the impact force and the impact duration exceed the corresponding preset thresholds, it indicates that the damage caused to the high-temperature steam fryer during the corresponding external force impact process is relatively serious, then mark the corresponding external force impact process as a hazard process;

[0045] Obtain the number of hazard processes corresponding to the corresponding high-temperature steam fryer in the historical stage and mark it as the impact hazard characteristic coefficient. Compare the impact hazard characteristic coefficient with the preset impact hazard characteristic coefficient threshold. If the impact hazard characteristic coefficient exceeds the preset impact hazard characteristic coefficient threshold, it indicates that the damage suffered by the high-temperature steam fryer in the historical stage is relatively serious and there are relatively large risks in the use of the high-temperature steam fryer, then generate a high-risk signal for the use of the corresponding high-temperature steam fryer.

[0046] Furthermore, if the impact hazard characteristic coefficient does not exceed the preset impact hazard characteristic coefficient threshold, then collect the occurrence frequency of the corresponding high-temperature steam fryer being suspended due to operating failures during the detection period and calculate the ratio with the running duration of the corresponding high-temperature steam fryer during the detection period to obtain the fryer running-stop coefficient, and retrieve the power control difference coefficient of the corresponding high-temperature steam fryer during the detection period;

[0047] Through the formula XP = a×TK + t×SW + q×NS + m×WX + g×QP, perform weighted summation calculation on the fryer running value TK, the fryer production value SW, the impact hazard characteristic coefficient NS, the fryer running-stop coefficient WX, and the power control difference coefficient QP to obtain the use risk assessment value XP; where a, t, q, m, g are preset weight coefficients with values greater than zero, and moreover, the larger the value of the use risk assessment value XP, the greater the comprehensive use risk of the high-temperature steam fryer;

[0048] The use risk assessment value XP will be numerically compared with a preset use risk assessment threshold. If the use risk assessment value XP exceeds the preset use risk assessment threshold, it indicates that the overall use risk of the high-temperature steam fryer is relatively large, and a high-use risk signal for the corresponding high-temperature steam fryer will be generated; if the use risk assessment value XP does not exceed the preset use risk assessment threshold, it indicates that the overall use risk of the high-temperature steam fryer is relatively small, and a low-use risk signal for the corresponding high-temperature steam fryer will be generated.

[0049] It should be noted that the use risk assessment module is communicatively connected to the control traceability module. The control traceability module analyzes the control performance of the power control module, generates the power control difference coefficient QP of the corresponding high-temperature steam fryer through the analysis, and sends the power control difference coefficient QP of the corresponding high-temperature steam fryer to the use risk assessment module. This can not only accurately evaluate the control performance of the power control module during the detection period, but also provide data support for the analysis process of the use risk assessment module to ensure the accuracy of its analysis results. The method for analyzing and obtaining the power control difference coefficient is as follows:

[0050] Obtain the generation time of the corresponding fault alarm information and mark it as the fault alarm time, and collect the time when the power control module cuts off the power of the corresponding high-temperature steam fryer and mark it as the power cut time. Mark the interval duration between the power cut time and the fault alarm time as the power cut efficiency value. Among them, the larger the value of the power cut efficiency value, the slower the response of the power control module to the corresponding control process.

[0051] Obtain all the power cut efficiency values corresponding to the high-temperature steam fryer during the detection period, calculate the average value of all the power cut efficiency values to obtain the power cut efficiency table value, mark the largest power cut efficiency value as the power cut risk table value, and mark the number of power cut efficiency values exceeding the preset power cut efficiency threshold during the detection period as the power cut efficiency difference value.

[0052] Through the formula QP = (ws × YN + hy × SP) / 2 + ep × LX, numerically calculate the power cut efficiency table value YN, the power cut risk table value SP, and the power cut efficiency difference value LX to obtain the power control difference coefficient QP of the corresponding high-temperature steam fryer. Among them, ws, hy, and ep are preset weight coefficients greater than zero. Moreover, the larger the value of the power control difference coefficient QP, the more difficult it is for the power control module to cut off the power of the high-temperature steam fryer in a timely manner during the detection period, and the more serious the potential safety hazards.

[0053] Embodiment 2: As Figure 2As shown, the difference between this embodiment and the first embodiment is that the cloud server is communicatively connected to a similar recall necessity analysis module. The similar recall necessity analysis module is used to set a monitoring period. Preferably, the monitoring period is six months. It obtains all the sold high-temperature steam fryers of the corresponding model produced within the monitoring period. The cloud server sends the operation failure information of all the sold high-temperature steam fryers of the corresponding model produced within the monitoring period to the similar recall necessity analysis module;

[0054] The similar recall necessity analysis module analyzes the recall necessity of the high-temperature steam fryers of the corresponding model produced within the monitoring period, judges whether to generate an emergency recall signal through the analysis, and sends the emergency recall signal to the cloud server. The cloud server issues an alarm message to remind the high-temperature steam fryer manufacturer to recall the products, which can reasonably analyze and accurately evaluate the usage status of various models of high-temperature steam fryers produced within a certain period, and timely remind the manufacturer to recall the high-temperature steam fryers of the corresponding model, reducing the adverse impact on the development of the manufacturer. The specific analysis process of the similar recall necessity analysis module is as follows:

[0055] Obtain all the sold high-temperature steam fryers of the corresponding model produced within the monitoring period (preferably, the number of sold high-temperature steam fryers should be greater than half of the total number of high-temperature steam fryers of the corresponding model produced within the monitoring period, and the operation duration of the high-temperature steam fryers obtained and used for analysis should be greater than the set preset usage duration threshold), mark the corresponding high-temperature steam fryers as tracking object i, and i is a natural number greater than 1; collect all the failure information that occurred during the operation of tracking object i in the historical stage, and classify all the occurred failures;

[0056] Obtain the number of times of the corresponding type of failure that occurred during the operation of tracking object i in the historical stage and mark it as the failure tracking value, and calculate the ratio of the failure tracking value to the total operation duration of tracking object i in the historical stage to obtain the failure characteristic value;

[0057] Obtain the failure characteristic values of the corresponding type of failure involved in all the sold high-temperature steam fryers of the corresponding model produced within the monitoring period, mark the average value of all the failure characteristic values as the failure analysis coefficient, and compare the failure analysis coefficient with the corresponding preset failure analysis coefficient threshold. If the failure analysis coefficient exceeds the corresponding preset failure analysis coefficient threshold, mark the corresponding type of failure as a suspicious failure;

[0058] If there is a suspicious failure, it indicates that there are serious safety hazards in the high-temperature steam fryers of the corresponding model produced within the monitoring period and product recall is required in a timely manner, then an emergency recall signal is generated.

[0059] Furthermore, if there are no suspicious faults, all types of faults related to the tracking object i are collected. A set of preset weight values greater than zero are preset for each type of fault in advance. The values of all preset weight values are positive numbers. Moreover, the higher the potential safety hazard brought by the corresponding type of fault, the greater the value of the preset weight value matched with it;

[0060] Mark the product of the fault feature value of the corresponding type of fault and the corresponding preset weight value as the fault hazard value. Mark the sum value of the fault hazard values of all types of faults related to the tracking object i as the fryer application warning value. Compare the fryer application warning value with the preset fryer application warning threshold numerically. If the fryer application warning value exceeds the preset fryer application warning threshold, mark the tracking object i as a non - available object;

[0061] Obtain the proportion of the number of non - available objects and mark it as the non - available detection value. And calculate the average value of the fryer application warning values of all the sold high - temperature steam fryers of the corresponding model produced during the monitoring period to obtain the fryer application performance value;

[0062] Calculate the weighted sum of the non - available detection value YF and the fryer application performance value GX through the formula XN = rg×YF + fk×GX to obtain the recall necessity coefficient XN, where rg and fk are preset proportionality coefficients greater than zero. And the larger the value of the recall necessity coefficient XN, the worse the comprehensive quality of the high - temperature steam fryers of the corresponding model produced during the monitoring period, and the more urgent it is to recall the products in time;

[0063] Compare the recall necessity coefficient XN with the preset recall necessity coefficient threshold numerically. If the recall necessity coefficient XN exceeds the preset recall necessity coefficient threshold, indicating that the comprehensive quality of the high - temperature steam fryers of the corresponding model produced during the monitoring period is poor and the products need to be recalled in time, then generate an emergency recall signal.

[0064] Example 3: As Figure 2 shown, the difference between this example and Example 1 and Example 2 is that the same - type recall necessity analysis module is communicatively connected to the manufacturer rectification warning module. The same - type recall necessity analysis module sends the emergency recall signal to the manufacturer rectification warning module. The manufacturer rectification alarm module is used to set the trace period. Preferably, the trace period is forty - five days. If the manufacturer rectification alarm module receives the emergency recall signal within the trace period, indicating that the manufacturer needs to take corresponding rectification measures in time, then generate a manufacturer rectification alarm message and send it to the cloud server;

[0065] If the emergency recall signal is not received within the trace period, then collect the sales volume, total sales profit and the number of complaints received by the manufacturer for the high - temperature steam fryers produced by the manufacturer during the trace period and mark them as the manufacturer sales inspection value, manufacturer profit value and manufacturer complaint value respectively;

[0066] The manufacturer's sales inspection value FY, manufacturer's profit value YM, and manufacturer's sued value QN are numerically calculated through the formula ZP = cp / FY + sn / YM + ey×QN to obtain the rectification warning value ZP; where cp, sn, and ey are preset proportionality coefficients greater than zero, and the larger the value of the rectification warning value ZP, the more urgently the manufacturer needs to take corresponding rectification measures;

[0067] The rectification warning value ZP is numerically compared with a preset rectification warning threshold. If the rectification warning value ZP exceeds the preset rectification warning threshold, indicating that the manufacturer needs to take corresponding rectification measures in a timely manner, a manufacturer rectification warning message is generated and sent to the cloud server; when the cloud server receives the manufacturer rectification warning message, it reminds the manufacturer to carry out corresponding rectification measures in a timely manner, such as strengthening the production quality control of high-temperature steam fryers and improving sales services, which is beneficial to the subsequent healthy and stable development of the manufacturer.

[0068] The working principle of the present invention: During use, the operation process of the high-temperature steam fryer is monitored by the steam fryer monitoring module. The fault analysis and diagnosis module analyzes and identifies the operation faults of the high-temperature steam fryer based on the intelligent fault identification model and determines the fault type. When it is determined that the high-temperature steam fryer has an operation fault, a fault alarm message is generated. When the power control module receives the fault alarm message, it disconnects the power supply of the high-temperature steam fryer to reduce the safety hazards brought by the fault. Moreover, the use risk assessment module is used to evaluate and analyze the use risk of the corresponding high-temperature steam fryer. When a high-risk signal is generated, the operation supervision of the high-temperature steam fryer is strengthened and the high-temperature steam fryer is replaced as needed to ensure the subsequent use effect and use safety, with a high degree of intelligence.

[0069] The above formulas are all dimensionless and take their numerical calculations. The formula is obtained by collecting a large amount of data for software simulation to get a formula closest to the real situation. The preset parameters in the formula are set by those skilled in the art according to the actual situation. The preferred embodiments of the present invention disclosed above are only used to help illustrate the present invention. The preferred embodiments do not elaborate on all the details, nor do they limit the present invention to only the specific implementation manners. Obviously, many modifications and variations can be made according to the content of this specification. These embodiments are selected and specifically described in this specification to better explain the principle and practical application of the present invention, so that those skilled in the art in the relevant technical field can well understand and utilize the present invention. The present invention is only limited by the claims and their full scope and equivalents.

Claims

1. A high-temperature steam fryer operation fault analysis and diagnosis system, characterized in that: It includes a steam fryer monitoring module, a fault analysis and diagnosis module, a power control module, a use risk assessment module, a cloud server and a user end; the steam fryer monitoring module monitors the operation process of the high-temperature steam fryer, collects various operation data of the high-temperature steam fryer, and sends the various operation data of the high-temperature steam fryer to the fault analysis and diagnosis module; The fault analysis and diagnosis module pre-processes the received operating data, analyzes and identifies the operating faults of the high-temperature steam fryer based on the intelligent fault identification model and determines the fault type, generates fault alarm information when it is determined that the high-temperature steam fryer has an operating fault, and sends the fault alarm information to the power control module, the cloud server and the user end; uses the risk assessment module to evaluate and analyze the use risk of the corresponding high-temperature steam fryer, generates a high-risk use signal or a low-risk use signal of the corresponding high-temperature steam fryer through analysis, and issues an early warning when the user end receives a high-risk use signal.

2. A high temperature steam fryer operation fault analysis and diagnosis system according to claim 1, characterized in that: The specific assessment and analysis process using the risk assessment module is as follows: If the fryer operation time value or the fryer production time value exceeds the corresponding preset threshold, a high-risk signal for the use of the corresponding high-temperature steam fryer is generated; if the fryer operation time value and the fryer production time value do not exceed the corresponding preset threshold, the impact characteristic coefficient is numerically compared with the preset impact characteristic coefficient threshold. If the impact characteristic coefficient exceeds the preset impact characteristic coefficient threshold, a high-risk signal for the use of the corresponding high-temperature steam fryer is generated.

3. A high temperature steam fryer operation fault analysis and diagnosis system according to claim 2, characterized in that: If the impact characteristic coefficient does not exceed the preset impact characteristic coefficient threshold, the use risk assessment value is calculated by weighted summing the fryer operation time value, the fryer production time value, the impact characteristic coefficient, the fryer operation and stop coefficient and the power supply control coefficient. If the use risk assessment value exceeds the preset use risk assessment threshold, a high-risk use signal of the corresponding high-temperature steam fryer is generated; Otherwise a low risk signal is generated.

4. A high temperature steam fryer operation fault analysis and diagnosis system according to claim 2, characterized in that: The risk assessment module is used to communicate with the control tracing module, and the control tracing module analyzes the control performance of the power control module, generates the power control error coefficient of the corresponding high-temperature steam fryer through analysis, and sends the power control error coefficient of the corresponding high-temperature steam fryer to the risk assessment module.

5. A high temperature steam fryer operation fault analysis and diagnosis system according to claim 4, characterized in that: The specific method for analyzing and obtaining the power supply control coefficient is as follows: The power control coefficient of the corresponding high-temperature steam fryer is obtained by numerically calculating the cut-off power effect table value, the cut-off power danger table value and the cut-off power effect abnormal value.

6. A high temperature steam fryer operation fault analysis and diagnosis system according to claim 1, characterized in that: The cloud server is communicated with the similar recall necessity analysis module, which analyzes the necessity of recalling the corresponding model of high-temperature steam fryers produced within the monitoring period, determines whether to generate an emergency recall signal through analysis, and sends the emergency recall signal to the cloud server.

7. A high temperature steam fryer operation fault analysis and diagnosis system according to claim 6, characterized in that: The specific analysis process of the similar recall necessity analysis module includes: The fault characteristic values ​​of the corresponding types of faults involved in all sold high-temperature steam fryers of the corresponding models produced during the monitoring period are obtained, and the average value of all fault characteristic values ​​is marked as the fault analysis coefficient. If the fault analysis coefficient exceeds the corresponding preset fault analysis coefficient threshold, the corresponding type of fault is marked as a suspected fault; if there is a suspected fault, an emergency recall signal is generated.

8. A high temperature steam fryer operation fault analysis and diagnosis system according to claim 7, characterized in that: If there is no suspected fault, the necessary recall coefficient is calculated by weighted summing the non-available detection value and the fryer operation performance value. If the necessary recall coefficient exceeds a preset necessary recall coefficient threshold, an emergency recall signal is generated.

9. A high temperature steam fryer operation fault analysis and diagnosis system according to claim 6, characterized in that: The necessity analysis module for similar recalls is communicatively connected to the manufacturer's rectification warning module. The necessity analysis module for similar recalls sends an emergency recall signal to the manufacturer's rectification warning module. If an emergency recall signal is received within the traceability period, a manufacturer rectification alarm message is generated. If no emergency recall signal is received within the traceability period, a rectification warning value is numerically compared with a preset rectification warning threshold. If the rectification warning value exceeds the preset rectification warning threshold, a manufacturer rectification warning message is generated.

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