Method and system for evaluating service life of key accessory of gas appliance

Abstract

The invention provides a gas appliance key accessory service life evaluation method and system, and relates to the technical field of gas safety, the gas appliance key accessory service life evaluation method comprises the following steps: obtaining rubber pipe accessory data of each key node uploaded by a user according to a sampling period; according to the rubber pipe fitting data, the current rubber pipe state is evaluated, and state change data is obtained; according to the state change data and the rubber pipe basic data, obtaining a rubber pipe simulation model containing each key node; and carrying out analogue simulation through the rubber pipe simulation model to predict the residual life of the rubber pipe fitting. According to the evaluation method and system provided by the invention, the residual life of the rubber pipe fitting can be accurately controlled, and the rubber pipe fitting can be replaced in time within a conservative time period, so that major accidents caused by damage of the rubber pipe fitting are avoided.

Description

Technical Field

[0001] The present invention relates to the field of gas safety technology, and in particular to a method and system for evaluating the life of key accessories of a gas appliance. Background Art

[0002] Gas stove hoses are used to connect gas pipes or cylinders to gas stoves, delivering gas. The service life of gas stove hoses is typically short, ranging from 18 months to two years. However, due to the complex operating environments, their service life is affected by a variety of factors.

[0003] Existing critical hose fittings for gas appliances, such as those used in kitchens, have a limited lifespan when manufactured. However, various environmental factors can cause these fittings to age and wear to varying degrees. These factors make it impossible to estimate the lifespan of these fittings within a conservative timeframe, leading to untimely replacement and significant safety risks. Summary of the Invention

[0004] In view of the shortcomings of the prior art described above, the purpose of the present invention is to provide a method and system for evaluating the life of key accessories of gas appliances, which is used to solve the problem in the prior art that the service life of hose accessories cannot be evaluated due to the inconvenience of detecting the hose after installation, and the hose accessories cannot be replaced within a relatively conservative time period, which poses a major safety hazard.

[0005] To achieve the above-mentioned and other related purposes, the present invention provides a method for assessing the life of key accessories of gas appliances, comprising: obtaining hose accessory data of each key node uploaded by a user according to a sampling period; evaluating the current hose status based on the hose accessory data to obtain status change data; obtaining a hose simulation model containing each key node based on the status change data and the basic hose data; and predicting the remaining life of the hose accessories by performing simulation using the hose simulation model.

[0006] In one embodiment of the present invention, it also includes: receiving safety hazard points entered during the installation of hose accessories as key nodes; obtaining point importance based on the key nodes and corresponding layout status information; obtaining comprehensive point importance based on each key layout that affects the key nodes in the layout status information and the point importance; and obtaining a sampling period based on the comprehensive point importance.

[0007] In one embodiment of the present invention, the importance of the point is obtained according to the key node and the corresponding layout status information, including: according to the key node, searching the layout status information for the key layout that affects the key node; according to the type of the key layout, obtaining the layout influence of the key layout on the key node; according to the type influence of the key layout and the layout influence of the key layout on the key node, to obtain the importance of the point.

[0008] In one embodiment of the present invention, the layout influence of the key layout on the key node is obtained according to the type of the key layout, including: obtaining the influence mode of the key layout on the key node according to the type of the key layout; when the influence mode is direct influence, obtaining the first layout influence of the key layout on the key node according to the type of the key layout; when the influence mode is indirect influence, obtaining the second layout influence of the key layout on the key node according to the type of the key layout and the weakening degree of the influence of the key layout on the key node; and using the first layout influence and / or the second layout influence as the layout influence.

[0009] In one embodiment of the present invention, based on the type of the key layout and the degree of influence reduction of the key layout on the key node, a second layout influence of the key layout on the key node is obtained, including: based on the type of the key layout and the distance between the key layout and the key node, obtaining the degree of influence reduction of the key layout on the key node; based on the type of the key layout and the degree of influence reduction, obtaining the second layout influence of the key layout on the key node.

[0010] In one embodiment of the present invention, obtaining the hose fitting data of each key node uploaded by the user according to the sampling period includes: obtaining the hose appearance image of each key node uploaded by the user according to the sampling period; performing image detection on the hose appearance image to obtain image abnormality features; obtaining derivative test steps of the demand test based on the image abnormality features; sequentially receiving the hose test data uploaded by the user according to the hose test steps; performing abnormality detection on the hose test data to obtain derivative abnormality features; continuing to execute the step of obtaining the derivative test steps of the demand test based on the derived abnormality features to obtain all the hose test data; and using the hose appearance image and all the hose test data as the hose fitting data.

[0011] In one embodiment of the present invention, based on the abnormal image features, derived test steps of the required test are obtained, including: based on the feature type of the abnormal image features, all the steps to be tested corresponding to the feature type and the required test weight corresponding to each step to be tested are obtained; based on the feature value of the abnormal image features and the required test weight corresponding to each step to be tested, the required test degree of each step to be tested is obtained; the required test degree of each step to be tested is compared, and the step to be tested corresponding to the maximum required test degree is obtained as the derived test step of the required test.

[0012] In one embodiment of the present invention, the hose accessory data includes a hose appearance image and hose test data; based on the hose accessory data, the current hose state is evaluated to obtain state change data, including: comparing the hose appearance image with the hose initial appearance image to obtain first-category state change data; comparing the hose test data with the hose initial test data to obtain test difference data; obtaining second-category state change data based on the test difference data and corresponding derived test steps; and using the first-category state change data and the second-category state change data as the state change data.

[0013] In one embodiment of the present invention, simulation is performed using a hose simulation model to predict the remaining life of hose accessories, including: performing simulation using the hose simulation model to obtain hose accessory prediction data for key nodes in the next sampling period; determining whether the hose accessory prediction data is greater than a set value: if so, continuing to upload the hose accessory data for each key node according to the sampling period, and re-updating the hose simulation model; if not, adjusting the sampling period based on the hose accessory prediction data and the set value, uploading the hose accessory data for each key node according to the adjusted sampling period, and re-updating the hose simulation model, and when the adjusted sampling period is less than the set period, the time corresponding to the adjusted sampling period when it is less than the set period is used as the remaining life of the hose accessory.

[0014] To achieve the above-mentioned purpose and other related purposes, the present invention also provides a life assessment system for key accessories of gas appliances, including: an acquisition unit for acquiring hose accessory data of each key node uploaded by the user according to a sampling period; an evaluation unit for evaluating the current hose status based on the hose accessory data and acquiring status change data; a modeling unit for acquiring a hose simulation model containing each key node based on the status change data and the hose basic data; and a prediction unit for predicting the remaining life of the hose accessories through simulation using the hose simulation model.

[0015] As described above, a method and system for evaluating the life of key accessories of gas appliances of the present invention has the following beneficial effects: by configuring the key nodes of the hose accessories during the installation process, it is possible to more conservatively determine the sampling period after the hose is installed based on the set key nodes, and use the hose accessory data obtained during this hose sampling period to evaluate the hose status, so as to accurately determine the hose simulation model corresponding to the current hose status, so that the corresponding hose simulation model can be used to perform simulation to accurately predict the remaining life of the hose accessories, thereby achieving accurate control of the remaining life of the hose accessories, and timely replacement of the hose accessories within the conservative time period to avoid major accidents caused by damage to the hose accessories. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 A flow chart of a method for evaluating the life of key gas appliance components provided by an embodiment of the present invention.

[0017] Figure 2 Shown is a structural block diagram of a gas appliance key component life assessment system provided by an embodiment of the present invention.

[0018] Figure 3 Shown is a structural schematic diagram of an electronic device according to an embodiment of the present invention.

[0019] Component number description

[0020] Electronic device 1; gas appliance key component life assessment system 11; memory 12; processor 13; acquisition unit 111; assessment unit 112; modeling unit 113; prediction unit 114. DETAILED DESCRIPTION

[0021] The following describes the embodiments of the present invention through specific examples. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments. The details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that the following embodiments and features in the embodiments can be combined with each other unless they conflict.

[0022] It should be noted that the illustrations provided in the following embodiments are merely schematic illustrations of the basic concept of the present invention. Therefore, the illustrations only show components related to the present invention and are not drawn according to the number, shape, and size of components in actual implementation. In actual implementation, the type, quantity, and proportion of each component may be changed arbitrarily, and the component layout may also be more complex.

[0023] In the following description, numerous details are discussed to provide a more thorough explanation of the embodiments of the present invention. However, it will be apparent to those skilled in the art that the embodiments of the present invention may be practiced without these specific details. In other embodiments, well-known structures and devices are shown in block diagram form rather than in detail to avoid obscuring the embodiments of the present invention.

[0024] The present invention provides a method for evaluating the life of key accessories of gas appliances. By configuring key nodes of hose accessories during the installation process and obtaining hose accessory data of a corresponding sampling period based on the key nodes, the hose status is evaluated to determine whether the current hose has undergone a state change, thereby constructing a hose simulation model based on the state change data. The hose simulation model can be used to perform simulation to accurately predict the remaining life of the hose accessories, thereby achieving accurate control of the remaining life of the hose accessories and timely replacement of the hose accessories within a conservative time period to avoid major accidents caused by damage to the hose accessories.

[0025] Figure 1 The flowchart of the life evaluation method of key gas appliance parts in an exemplary embodiment of the present invention is shown, which is applied to the life evaluation system of key gas appliance parts, including steps S10 to S40. Figure 1 The technical solution of this application will be described in detail.

[0026] First, step S10 is executed to obtain the hose fitting data of each key node uploaded by the user according to the sampling period.

[0027] The key nodes in the present invention may be location nodes in a home kitchen that may affect the use of hose accessories, i.e., potential safety hazards. Of course, they may also be scenarios where gas appliances are used, such as in commercial kitchens.

[0028] At the system's pre-set sampling period, users can use their mobile devices to collect hose accessory data corresponding to key nodes. Alternatively, staff can regularly visit the system to collect hose accessory data at key nodes. This data is then uploaded to the gas appliance key accessory lifespan assessment system, enabling the system to capture hose accessory data at key nodes and assess the service life of the hose accessories.

[0029] Before step S10, that is, before obtaining the hose fitting data of each key node uploaded by the user according to the sampling period, the following steps may be further included:

[0030] Receive safety hazard points recorded during the installation of hose accessories as key nodes;

[0031] Obtain the importance of points based on key nodes and corresponding layout status information;

[0032] According to each key layout that affects the key node in the layout status information and the importance of the point, the comprehensive point importance is obtained;

[0033] Obtain the sampling period based on the importance of the comprehensive points.

[0034] Before users upload hose fitting data for each key node into the gas appliance key fitting life assessment system, the system will further determine the collection cycle after the hose fitting is installed. That is, after the hose fitting is installed, staff can enter the corresponding locations of the hose fittings with safety hazards, i.e., the safety hazard points, as key nodes into the gas appliance key fitting life assessment system based on the safety hazards existing around the hose fittings. Of course, the layout status information of the corresponding key nodes will also be entered during the entry. The gas appliance key fitting life assessment system can then determine the point importance of each key node based on the layout status information of each key node. Based on each key layout that affects the key node and the corresponding point importance, the comprehensive point importance of each key node is first determined. The sampling cycle for the hose fittings is then determined based on the comprehensive point importance. When determining the sampling period for hose accessories based on the comprehensive point importance, the comprehensive point importance of all key nodes can be comprehensively determined. For example, the comprehensive point importance of each key node can be compared to obtain a ranking of the comprehensive point importance from small to large. Then, in a relatively conservative manner, the sampling period corresponding to the maximum comprehensive point importance can be selected as the final sampling period. In addition, the comprehensive point importance is negatively correlated with its corresponding sampling period. That is, the larger the point importance value, the more important the corresponding key node, and the shorter the corresponding sampling period that needs to be checked. Of course, when sorting the comprehensive point importance, it can also be sorted from large to small.

[0035] Wherein, obtaining the importance of the points according to the key nodes and the corresponding layout status information may further include:

[0036] According to the key node, searching the layout state information for a key layout that affects the key node; wherein the layout state information includes the key layout and other layouts that affect the key node;

[0037] According to the type of key layout, the layout influence of the key layout on the key nodes is obtained;

[0038] The importance of the points can be obtained based on the type influence of the key layout and the layout influence of the key layout on the key nodes.

[0039] The gas appliance key component life assessment system of the present invention determines the point importance of each key node based on the key nodes and their corresponding layout status information. The layout status information can then be searched based on the determined key nodes to obtain the key layouts in the layout status information that affect the key nodes. The layout influence of the key layout on the key node is then determined based on the type of the key layout. Furthermore, the point importance of each key node is ultimately determined based on the type of influence of the key layout.

[0040] Specifically, when a user uploads hose accessory information, they can upload all layout status information and key nodes for the hose accessory. Of course, other key information can also be uploaded. For example, a worker may enter various details about the hose accessory during installation as layout status information, including key layouts that influence key nodes. The system can then directly query key layouts that influence these key nodes based on the key nodes. For example, key layouts could include sink location layout, gas stove location layout, water heater location layout, and spatial layout. The sink location layout, gas stove location layout, and water heater location layout all have varying degrees of impact on the hose accessory during use, depending on the distance between the installation location and the key nodes. This type of impact can be defined as indirect. The impact of spatial layout on hose configuration is relatively fixed. For example, the impact of oil contamination, temperature, and other factors within the space caused by spatial layout on different hose accessory locations (including key nodes) is generally consistent. Therefore, this type of impact can be defined as direct.

[0041] Obtaining the layout influence of the key layout on the key nodes according to the type of the key layout may further include:

[0042] According to the type of key layout, the impact of the key layout on the key nodes is obtained;

[0043] When the impact mode is direct impact, the first layout impact degree of the key layout on the key node is obtained according to the type of the key layout;

[0044] When the impact mode is indirect, the second layout impact of the key layout on the key node is obtained according to the type of the key layout and the weakening degree of the impact of the key layout on the key node;

[0045] The first layout influence and / or the second layout influence are used as the layout influence.

[0046] In the process of determining the layout influence of the key layout on the key nodes according to the type of key layout through the life assessment system of key accessories of gas appliances, the way in which the key layout affects the key nodes can be obtained according to the type of key layout. For example, when the key layout is a spatial layout such as oil pollution or temperature, it can be determined that it is a direct influence, and then according to the type of key layout, such as the spatial layout formed by oil pollution, the oil pollution layout influence of the entire spatial layout can be obtained according to the spatial layout volume and the oil pollution layout influence per unit volume, as one of the influences in the first layout influence. Of course, the spatial layout formed by temperature can also be included, and the temperature layout influence can also be calculated in the same way as one of the influences in the first layout influence.

[0047] When the key layouts are the pool location layout, the gas stove location layout, and the water heater location layout, they can be determined to have an indirect impact. Then, based on the impact reduction per unit length of each key layout, the impact reduction degree of the key layout to the key node is determined, and then the second layout impact degree of the key layout on the key node is further determined. For example, after determining the distance between the pool location layout and the key node, the impact reduction degree of the pool location layout to the key node can be determined based on the reduction factor per unit length corresponding to the pool location layout. Then, based on the maximum layout impact corresponding to the pool location layout, the impact reduction degree is subtracted to obtain the second layout impact degree of the pool location layout on the key node. The first layout impact degree and / or the second layout impact degree are then integrated to obtain the overall layout impact degree of the key node. For example, if the first layout impact degree and the second layout impact degree exist independently, only the independent one is used as the layout impact degree. If the first layout impact degree and the second layout impact degree exist simultaneously, the two are superimposed to obtain the overall layout impact degree of the key node.

[0048] Obtaining a second layout influence of the key layout on the key node according to the type of the key layout and the degree of weakening of the influence of the key layout on the key node may further include:

[0049] According to the type of key layout and the distance between the key layout and the key node, the influence weakening degree of the key layout to the key node is obtained;

[0050] According to the type and influence reduction degree of the key layout, a second layout influence degree of the key layout on the key node is obtained.

[0051] When calculating the second layout impact of a key layout on a key node using the gas appliance key component life assessment system, a corresponding weakening factor is obtained based on the key layout type. Then, based on the weakening factor and the distance between the key layout and the key node, the weakening degree of the impact of the key layout on the key node can be calculated. Furthermore, based on the key layout type, the corresponding maximum layout impact is also obtained. Subtracting the maximum layout impact from the weakening degree of the impact yields the second layout impact of the key node.

[0052] Specifically, the calculation formula for the second layout influence is: ,in, Expressed as the second layout influence, Type represented as key layout The corresponding maximum layout influence, Expressed as the distance between the key layout and the key node, Type represented as key layout The corresponding attenuation factor, Expressed as impact reduction.

[0053] In step S10, the hose fitting data of each key node uploaded by the user according to the sampling period is obtained, including:

[0054] Obtain the hose appearance images of each key node uploaded by the user according to the sampling period;

[0055] Perform image detection on the hose appearance image to obtain image abnormality features;

[0056] Obtain the derivative test steps of the required test based on the abnormal features of the image;

[0057] Receive the hose test data uploaded by the user in sequence according to the hose test steps;

[0058] Perform anomaly detection on hose test data to obtain derived anomaly features;

[0059] Based on the derived abnormality characteristics, continue to execute the steps of obtaining the derived test steps of the requirement test to obtain all the hose test data;

[0060] The hose appearance image and all hose test data are used as hose accessory data.

[0061] After the gas appliance key component lifespan assessment system determines the sampling period, users can upload hose accessory data for each key node to the system at the corresponding sampling period node. Specifically, users can first upload hose appearance images for each key node. After the gas appliance key component lifespan assessment system obtains the hose appearance images, it first performs image detection on the hose appearance images to identify corresponding abnormal image features, such as yellowing of the hose surface, cracks on the hose surface, or uneven thickness at the corresponding key nodes. Based on these abnormal image features, the system then further determines the required test steps. For example, if cracks are detected on the hose surface, a further test step, such as a press test, can be prompted to further test the hose material properties. If the press test indicates a rebound anomaly, it is determined to be a derived abnormal feature, and further derived test steps are performed, thereby obtaining all the hose test data based on the hose appearance image. Then, the hose appearance image and all hose test data are used as hose accessory data to evaluate the current hose status and determine the status change data to build a hose simulation model.

[0062] Based on the abnormal features of the image, the derived test steps of the required test are obtained, including:

[0063] According to the feature type of the abnormal image feature, all the steps to be tested corresponding to the feature type and the required test weight corresponding to each step to be tested are obtained;

[0064] Obtain the required test degree of each step to be tested according to the feature value of the image abnormality feature and the required test weight corresponding to each step to be tested;

[0065] Compare the required test degrees of each step to be tested, and obtain the step to be tested corresponding to the maximum required test degree as the derivative test step of the required test.

[0066] After obtaining the image abnormality feature, when determining the derivative test steps of the corresponding demand test through the gas appliance key parts life assessment system, all the test steps corresponding to the feature type and the demand test weight corresponding to each test step can be obtained according to the feature type of the image abnormality feature. For example, when the feature type of the image abnormality feature is the presence of cracks on the surface of the key node, all the test steps corresponding to the presence of cracks on the surface of the key node can be found according to the feature type of the presence of cracks on the surface of the key node, such as press-rebound test, air tightness test, etc. Then, according to the crack degree value of the key node surface and the demand test weight corresponding to the test steps such as press-rebound test, air tightness test, etc., the demand test degree of each test step to be tested is calculated. Then, based on the test steps to be tested, the demand test degree of each test step to be tested is compared, so that the test step to be tested corresponding to the maximum demand test degree can be obtained as the derivative test step of the demand test, so as to achieve the most effective test processing for the key node and improve the efficiency of the test.

[0067] Specifically, the calculation formula for the degree of demand testing is: ,in, Expressed as The degree of requirement testing for each step to be tested, Represented as the eigenvalue of the image abnormality feature, Expressed as requirement test weight.

[0068] Similarly, when continuing to execute the steps of obtaining the derived test steps of the required test based on the derived abnormal features, the corresponding steps when executing the step of "obtaining the derived test steps of the required test based on the image abnormal features" can also be adopted to obtain all the hose test data corresponding to the image abnormal features and the derived abnormal features.

[0069] Next, step S20 is executed: the current hose state is evaluated according to the hose accessory data to obtain state change data.

[0070] Hose component data can include both hose appearance images and hose test data. When evaluating the current hose status based on this data, the hose appearance image and test data can be evaluated separately. The two evaluation results are then combined to determine state change data. This state change data can then be used to accurately construct a hose simulation model.

[0071] In step S20, the current hose status is evaluated based on the hose accessory data to obtain status change data, including:

[0072] Compare the hose appearance image with the hose initial appearance image to obtain first-type state change data;

[0073] Compare the hose test data with the hose initial test data to obtain test difference data;

[0074] Obtain the second type of state change data based on the test difference data and the corresponding derived test steps;

[0075] The first type of state change data and the second type of state change data are regarded as state change data.

[0076] When evaluating the current hose state based on the hose appearance image, the hose appearance image can be compared with the initial hose appearance image to obtain first-category state change data. For example, by comparing the current hose surface with the initial hose surface corresponding to installation, the surface difference between the two can be determined. For example, if the current hose surface has cracks, the surface difference between the two, i.e., the crack degree, can be used as the first-category state change data. When testing according to the derived test steps, the hose is pressed to observe the rebound behavior at this time, and the rebound data is then compared with the initial rebound data of the hose during installation to obtain the test rebound difference between the two as the test difference data. The state change data for each key node can then be determined based on the first-category state change data and the second-category state change data (i.e., other derived second-category state change data). For example, after determining the test rebound difference, the corresponding derived test steps can be used to determine changes in the hose fitting material. For example, if the hose fitting rebound slows down, it can indicate that the hose fitting at the corresponding key node has hardened to a certain degree. Then, a hose simulation model can be constructed based on the degree of hardening and other types of second-type state change data combined with the hose basic data.

[0077] Specifically, the difference between the hose test data and the hose initial test data is calculated to obtain the test difference data. The formula is: ,in, Represented as test difference data, Represents the initial test data of the hose, Expressed as hose test data.

[0078] Next, step S30 is executed to obtain a hose simulation model including each key node according to the state change data and the hose basic data.

[0079] After obtaining state change data, such as localized hardening of a hose, the corresponding state change data and basic hose data can be combined to create a hose simulation model containing key nodes. The basic hose data is constructed based on the materials used in the hose accessory production process and the length and shape of the hose after installation.

[0080] Next, step S40 is executed to perform simulation using the hose simulation model to predict the remaining life of the hose accessories.

[0081] When simulating with the hose simulation model, the remaining life of the hose accessories can be predicted based on the current state change data and the corresponding acquisition cycle time.

[0082] Specifically, simulation is performed on the hose simulation model to predict the remaining life of hose accessories, including:

[0083] Through the simulation of the hose simulation model, the predicted data of the hose accessories at the key nodes in the next sampling period are obtained;

[0084] Determine whether the predicted data of the hose accessories is greater than the set value:

[0085] If so, continue to upload the hose fittings data of each key node according to the sampling period and re-update the hose simulation model;

[0086] If not, the sampling period is adjusted according to the predicted data and set value of the hose accessories, and the hose accessories data of each key node are uploaded according to the adjusted sampling period, and the hose simulation model is updated again. When the adjusted sampling period is less than the set period, the time corresponding to the adjusted sampling period when it is less than the set period is used as the remaining life of the hose accessories.

[0087] When predicting the remaining life of hose accessories, a hose simulation model based on state change data can be used to simulate the next sampling cycle, thereby obtaining predicted hose accessory data for key nodes in the next sampling cycle. The predicted hose accessory data is then determined to be greater than a set value. If the predicted hose accessory data is greater than the set value, the current sampling cycle can continue. Therefore, the hose accessory data for each key node can be uploaded and the hose simulation model can be updated. At this point, the remaining life of the hose accessory does not need to be evaluated. If the predicted hose accessory data is less than or equal to the set value, the current sampling cycle is no longer conservative and needs to be shortened. This difference is calculated by taking the difference between the predicted hose accessory data and the set value to obtain the difference data. The predicted hose accessory data corresponds to the state change data; that is, it is the predicted data obtained by simulating the predicted state change data over the sampling cycle. If no state change data exists, the prediction can also be based on the natural aging cycle. Based on the difference data, a table can be looked up to obtain the cycle adjustment corresponding to the predicted hose fitting data. If multiple hose fitting predictions exist, the maximum cycle adjustment is selected as the adjustment for the sampling period. After adjusting the sampling period using the cycle adjustment, the hose fitting data for each key node is uploaded during the adjusted sampling period, and the hose simulation model is updated to ensure consistent prediction accuracy. If, within a certain adjusted sampling period, the next adjusted sampling period is predicted to be less than the set period, this indicates that the hose fitting can no longer be used during the next adjusted sampling period. Therefore, the hose fitting needs to be promptly replaced to prevent safety hazards.

[0088] Please refer to 2. The present invention also provides a life assessment system 11 for key accessories of gas appliances, including: an acquisition unit 111, used to obtain hose accessory data of each key node uploaded by the user according to a sampling period; an evaluation unit 112, used to evaluate the current hose state based on the hose accessory data and obtain state change data; a modeling unit 113, used to obtain a hose simulation model containing each key node based on the state change data and the hose basic data; and a prediction unit 114, used to predict the remaining life of the hose accessories by performing simulation with the hose simulation model.

[0089] It should be noted that the gas appliance key component life assessment system 11 provided in the above-described embodiment and the gas appliance key component life assessment method provided in the above-described embodiment are based on the same concept. The specific manner in which each module and unit performs operations has been described in detail in the method embodiment and will not be repeated here. In actual applications, the gas appliance key component life assessment system 11 provided in the above-described embodiment can, as needed, allocate the above-described functions to different functional modules, i.e., divide the internal structure of the device into different functional modules to complete all or part of the functions described above. This is not a limitation herein.

[0090] See also Figure 3 The electronic device 1 may include a memory 12, a processor 13 and a bus, and may also include a computer program stored in the memory 12 and executable on the processor 13, such as a life assessment program for key gas appliance accessories.

[0091] The memory 12 includes at least one type of readable storage medium, including flash memory, a removable hard disk, a multimedia card, a card-type memory (e.g., SD or DX memory), a magnetic memory, a magnetic disk, an optical disk, and the like. In some embodiments, the memory 12 may be an internal storage unit of the electronic device 1, such as a removable hard disk of the electronic device 1. In other embodiments, the memory 12 may be an external storage device of the electronic device 1, such as a plug-in removable hard disk, a Smart Media Card (SMC), a Secure Digital (SD) card, a flash memory card, and the like. Furthermore, the memory 12 may include both an internal storage unit and an external storage device of the electronic device 1. The memory 12 can be used not only to store application software installed in the electronic device 1 and various types of data, such as code for life assessment of key gas appliance components, but also to temporarily store data that has been output or is about to be output.

[0092] In some embodiments, the processor 13 may be comprised of an integrated circuit, such as a single packaged integrated circuit or multiple packaged integrated circuits with the same or different functions, including one or more central processing units (CPUs), microprocessors, digital processing chips, graphics processors, and combinations of various control chips. The processor 13 is the control core (control unit) of the electronic device 1, connecting the various components of the electronic device 1 via various interfaces and circuits. It executes programs or modules stored in the memory 12 (e.g., a lifespan assessment program for key gas appliance components) and accesses data stored in the memory 12 to perform various functions and process data.

[0093] The processor 13 executes the operating system and various installed applications of the electronic device 1. The processor 13 executes the applications to implement the steps in the above-mentioned method for evaluating the life of key gas appliance parts.

[0094] Exemplarily, the computer program may be divided into one or more modules, which are stored in the memory 12 and executed by the processor 13 to implement the present application. The one or more modules may be a series of computer program instruction segments capable of performing specific functions, and the instruction segments are used to describe the execution process of the computer program in the electronic device 1. For example, the computer program may be divided into units in a life assessment system for key gas appliance components.

[0095] The above-mentioned integrated unit implemented in the form of a software functional module can be stored in a computer-readable storage medium, which can be either non-volatile or volatile. The above-mentioned software functional module, stored in a storage medium, includes a number of instructions for causing a computer device (which can be a personal computer, computer device, or network device, etc.) or a processor to perform some of the functions of the gas appliance key component life assessment method described in various embodiments of this application.

[0096] In summary, the present invention discloses a method and system for evaluating the life of key accessories of gas appliances. By configuring the key nodes of the hose accessories during the installation process, it is possible to conservatively determine the sampling period after the hose is installed based on the set key nodes, and use the hose accessory data obtained during this hose sampling period to evaluate the hose status, so as to accurately determine the hose simulation model corresponding to the current hose status, so that the corresponding hose simulation model can be used for simulation to accurately predict the remaining life of the hose accessories, thereby achieving accurate control of the remaining life of the hose accessories and timely replacement of the hose accessories within a conservative time period to avoid major accidents caused by damage to the hose accessories. Therefore, the present invention effectively overcomes the various shortcomings of the prior art and has high industrial utilization value.

[0097] The above embodiments are merely illustrative of the principles and effects of the present invention and are not intended to limit the present invention. Anyone skilled in the art may modify or alter the above embodiments without departing from the spirit and scope of the present invention. Therefore, all equivalent modifications or alterations made by one of ordinary skill in the art without departing from the spirit and technical principles disclosed herein are intended to be covered by the claims of the present invention.

Claims

1. A method for evaluating the life of key gas appliance accessories, characterized in that: include: Obtain the hose fittings data of each key node uploaded by the user according to the sampling period; Evaluate the current hose status based on the hose accessory data and obtain status change data; Obtaining a hose simulation model including each key node according to the state change data and hose basic data; The remaining life of the hose accessories is predicted by performing simulations using the hose simulation model.

2. The method for evaluating the life of key gas appliance components according to claim 1, characterized in that: Also includes: Receive the safety hazard points entered during the installation of the hose accessories as the key nodes; According to the key nodes and the corresponding layout status information, the importance of the points is obtained; Obtaining a comprehensive point importance according to each key layout affecting the key node in the layout state information and the point importance; The sampling period is obtained according to the importance of the comprehensive point.

3. The method for evaluating the life of key gas appliance components according to claim 2, characterized in that: According to the key nodes and the corresponding layout status information, the importance of the points is obtained, including: According to the key node, searching the layout state information for a key layout that affects the key node; Obtaining, according to the type of the key layout, a layout influence of the key layout on the key node; The importance of the point is obtained according to the type influence of the key layout and the layout influence of the key layout on the key node.

4. The method for evaluating the life of key gas appliance components according to claim 3, characterized in that: Acquiring, according to the type of the key layout, a layout influence of the key layout on the key node, including: Obtaining, according to the type of the key layout, an impact mode of the key layout on the key node; When the influence mode is direct influence, obtaining a first layout influence degree of the key layout on the key node according to the type of the key layout; When the influence mode is indirect influence, a second layout influence degree of the key layout on the key node is obtained according to the type of the key layout and the weakening degree of the influence of the key layout on the key node; The first layout impact and / or the second layout impact is used as the layout impact.

5. The method for evaluating the life of key gas appliance components according to claim 4, characterized in that: Obtaining a second layout influence of the key layout on the key node according to the type of the key layout and the weakening degree of the influence of the key layout on the key node, including: Obtaining, according to the type of the key layout and the distance between the key layout and the key node, the degree of weakening of the influence of the key layout on the key node; A second layout influence of the key layout on the key node is obtained according to the type of the key layout and the influence reduction degree.

6. The method for evaluating the life of key gas appliance components according to claim 1, characterized in that: Obtain the hose fittings data of each key node uploaded by the user according to the sampling period, including: Obtain the hose appearance images of each key node uploaded by the user according to the sampling period; Performing image detection on the hose appearance image to obtain abnormal image features; Obtaining derivative test steps of the required test according to the abnormal features of the image; Receive the hose test data uploaded by the user in sequence according to the hose test steps; performing anomaly detection on the hose test data to obtain derived anomaly features; According to the derived abnormality feature, continue to perform the step of obtaining the derived test step of the required test to obtain all the hose test data; The hose appearance image and all the hose test data are used as the hose accessory data.

7. The method for evaluating the life of key gas appliance components according to claim 6, characterized in that: According to the abnormal features of the image, derived test steps of the required test are obtained, including: According to the feature type of the abnormal image feature, all steps to be tested corresponding to the feature type and the required test weight corresponding to each step to be tested are obtained; Obtaining a required test degree for each step to be tested according to a feature value of the abnormal image feature and a required test weight corresponding to each step to be tested; The required test degrees of each of the steps to be tested are compared, and the step to be tested corresponding to the maximum required test degree is obtained as a derivative test step of the required test.

8. The method for evaluating the life of key gas appliance components according to claim 1, characterized in that: The hose accessory data includes hose appearance images and hose test data; Based on the hose accessory data, the current hose status is evaluated and status change data is obtained, including: Comparing the hose appearance image with the hose initial appearance image to obtain first type of state change data; Comparing the hose test data with initial hose test data to obtain test difference data; Acquire second-category state change data according to the test difference data and corresponding derivative test steps; The first-category state change data and the second-category state change data are used as the state change data.

9. The method for evaluating the life of key gas appliance components according to claim 1, characterized in that: The remaining life of hose accessories is predicted by simulation using the hose simulation model, including: Perform simulation on the hose simulation model to obtain the hose fitting prediction data of the key node in the next sampling period; Determine whether the predicted data of the hose fitting is greater than the set value: If so, continue uploading the hose fitting data of each key node according to the sampling period and re-update the hose simulation model; If not, the sampling period is adjusted according to the hose fitting prediction data and the set value, the hose fitting data of each key node is uploaded according to the adjusted sampling period, and the hose simulation model is re-updated. When the adjusted sampling period is less than the set period, the time of the adjusted sampling period corresponding to the time when it is less than the set period is used as the remaining life of the hose fitting.

10. A life assessment system for key gas appliance components, characterized in that: include: An acquisition unit is used to acquire the hose fittings data of each key node uploaded by the user according to the sampling period; An evaluation unit, configured to evaluate the current hose status based on the hose accessory data and obtain status change data; A modeling unit, configured to obtain a hose simulation model including key nodes based on the state change data and the hose basic data; as well as The prediction unit is used to predict the remaining life of the hose accessories by performing simulation through the hose simulation model.

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