A generation system of message monitoring information sent to a fire fighting APP

Abstract

The application relates to the field of fire-fighting equipment monitoring, in particular to a message monitoring information generation system for sending to a fire-fighting APP, which highlights the importance of each preset index in analyzing damage degree by referring to a reference weight, so that the evaluation of the damage degree of the initial fire-fighting equipment is more accurate and objective, the damage degree is converted into intuitive target state information, the historical acquisition information corresponding to each target fire-fighting equipment, the current acquisition information corresponding to each initial fire-fighting equipment and the reference weight are comprehensively considered to represent the similarity between the target fire-fighting equipment and the candidate initial fire-fighting equipment, which is used to screen out the initial fire-fighting equipment closest to the state of the target fire-fighting equipment, so that the reference fire-fighting equipment screened out and the target fire-fighting equipment have certain commonality in the historical change track, are more in line with the situation that the equipment state continuously evolves in the actual scene, and are helpful to the analog analysis in the fire-fighting equipment management to more accurately evaluate and monitor the state of the target fire-fighting equipment.

Description

Technical Field

[0001] The present invention relates to the field of firefighting equipment monitoring, and in particular to a system for generating message monitoring information sent to a firefighting APP. Background Art

[0002] In the field of modern fire management, with the continuous development of science and technology, the requirements for monitoring and management of firefighting equipment are increasing. Traditional firefighting equipment management often relies on regular manual inspections, which have many limitations. On the one hand, manual inspections cannot fully and comprehensively grasp the status information of a large amount of firefighting equipment in real time, and are prone to missed inspections or untimely inspections. For example, some firefighting equipment may be installed in hidden or difficult-to-reach locations, and inspectors may not be able to detect equipment defects or potential failures in a timely manner. On the other hand, manual recording and analysis of firefighting equipment data is inefficient and has limited accuracy, making it difficult to accurately assess and predict equipment status, and unable to provide timely and reliable data support for firefighting decision-making.

[0003] At the same time, with the increasing number of firefighting equipment and their increasingly complex functions, different types of firefighting equipment have unique operating parameters and performance indicators. Traditional unified management models cannot meet the needs of refined management of diverse equipment. Moreover, in real-world environments, firefighting equipment is subject to various interference factors, such as electromagnetic interference, ambient temperature, and humidity changes. These interference factors can have varying degrees of impact on the normal operation and performance of the equipment, but traditional management methods cannot effectively quantify the impact of these interference factors on equipment status assessment.

[0004] In addition, in terms of information transmission, traditional firefighting equipment management lacks effective integration with modern mobile terminal applications, making it difficult for firefighters to obtain the latest status information of firefighting equipment in a timely manner, resulting in delayed responses, inaccurate decisions and other problems when responding to emergencies such as fires.

[0005] Therefore, how to improve the accuracy of status monitoring of fire-fighting equipment and provide accurate message monitoring information to fire-fighting APP in a timely manner has become an urgent problem to be solved. Summary of the Invention

[0006] In response to the above technical problems, the technical solution adopted by the present invention is a system for generating message monitoring information sent to a fire protection APP, the generating system including a processor and a memory storing a computer program, the memory also storing M initial fire protection equipment, N target fire protection equipment, current collection information of each initial fire protection equipment within a first preset time period and historical collection information within a second preset time period, and historical collection information of each target fire protection equipment within a second preset time period, wherein the current collection information includes equipment identification information, equipment current status information and current interference information, the equipment current status information includes current status data corresponding to K preset indicators, the current interference information includes current interference data corresponding to K interference indicators, the historical collection information includes equipment identification information, equipment historical status information and historical interference information, the equipment historical status information includes historical status data corresponding to K preset indicators, the historical interference information includes historical interference data corresponding to P interference indicators, the second preset time period is earlier than the first preset time period, M, N, K and P are all integers greater than 0, and when the computer program is executed by the processor, the following steps are implemented:

[0007] S1. Obtain reference weights corresponding to each preset indicator and each interference indicator based on all historical device status information and all historical interference information.

[0008] S2, obtaining the damage degree corresponding to each initial fire-fighting device according to the current status information of each initial fire-fighting device and the reference weight corresponding to each preset indicator.

[0009] S3, acquiring target status information corresponding to each initial fire-fighting equipment according to the damage degree corresponding to each initial fire-fighting equipment, wherein the target status information includes normal, repair and scrap.

[0010] S4. Based on the historical collection information corresponding to each target fire-fighting equipment, the current collection information corresponding to each initial fire-fighting equipment, the reference weight corresponding to each preset indicator and the reference weight corresponding to each interference indicator, the reference fire-fighting equipment corresponding to each target fire-fighting equipment is screened out from all the initial fire-fighting equipment.

[0011] S5. Acquire target state information corresponding to each target fire-fighting device according to the target state corresponding to the reference fire-fighting device corresponding to each target fire-fighting device.

[0012] S6: Input the target status information corresponding to each initial fire-fighting device and the target status information corresponding to each target fire-fighting device into the corresponding fire-fighting APP.

[0013] The present invention has at least the following beneficial effects: according to all the historical status information of the equipment and all the historical interference information, the reference weight corresponding to each preset indicator and each interference indicator is quantified; according to the current status information of each initial fire-fighting equipment and the reference weight corresponding to each preset indicator, the damage degree corresponding to each initial fire-fighting equipment is quantified; the importance of each preset indicator in monitoring the damage degree of the fire-fighting equipment is highlighted through the reference weight, so that the assessment of the damage degree of the equipment is more accurate and objective, and the damage degree is converted into intuitive target state information; and the historical collection information corresponding to each target fire-fighting equipment and the current collection information corresponding to each initial fire-fighting equipment are comprehensively considered, combined with the reference weight corresponding to each preset indicator and each interference indicator. The reference weight corresponding to the indicator is used to characterize the first similarity between the target fire-fighting equipment and each candidate initial fire-fighting equipment, and is used to screen out the initial fire-fighting equipment that is closest to the status of the target fire-fighting equipment, so that the screened reference fire-fighting equipment and the target fire-fighting equipment have certain commonalities in historical change trajectories, which is more in line with the continuous evolution of equipment status in actual scenarios, thereby indirectly characterizing the target status of the target fire-fighting equipment, and facilitating analogical analysis in fire-fighting equipment management to more accurately evaluate and monitor the status of the target fire-fighting equipment, so that relevant firefighters can easily obtain the latest status information of fire-fighting equipment through the fire APP, so as to make timely and accurate decisions in daily management and in response to emergencies such as fires. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0015] Figure 1 A flowchart of an execution computer program of a system for generating message monitoring information sent to a fire protection APP provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0016] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making any creative efforts shall fall within the scope of protection of the present invention.

[0017] It should be noted that the terms "first", "second", etc. in the description and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It is understood that, where appropriate, the above-mentioned terms used to distinguish similar objects can be interchanged so that the present invention can also implement other embodiments other than the above-mentioned illustrated embodiments or described embodiments. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or server that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0018] like Figure 1 As shown, the first embodiment of the present invention provides a system for generating message monitoring information sent to a fire protection APP, the generating system including a processor and a memory storing a computer program, the memory further storing M initial fire protection equipment, N target fire protection equipment, current collection information of each initial fire protection equipment within a first preset time period and historical collection information within a second preset time period, and historical collection information of each target fire protection equipment within a second preset time period, wherein the current collection information includes equipment identification information, equipment current status information and current interference information, the equipment current status information includes current status data corresponding to K preset indicators, the current interference information includes current interference data corresponding to K interference indicators, the historical collection information includes equipment identification information, equipment historical status information and historical interference information, the equipment historical status information includes historical status data corresponding to K preset indicators, the historical interference information includes historical interference data corresponding to P interference indicators, the second preset time period is earlier than the first preset time period, M, N, K and P are all integers greater than 0, and when the computer program is executed by the processor, the following steps are implemented:

[0019] S1. Obtain reference weights corresponding to each preset indicator and each interference indicator based on all historical device status information and all historical interference information.

[0020] Firefighting equipment can include fire detectors, fire extinguishing equipment, fire emergency rescue equipment, and fire smoke and exhaust equipment. For example, fire detectors can include smoke detectors, temperature detectors, combustible gas detectors, and other types of detectors. Firefighting equipment can include fire extinguishers, fire hydrants, automatic sprinkler systems, and other types of equipment. Firefighting emergency rescue equipment can include fire emergency lighting, fire doors, firewalls, and other types of equipment. Fire smoke and exhaust equipment can include smoke exhaust fans and other types of equipment.

[0021] Currently, firefighting equipment management relies on regular manual inspections. However, given the large number and widespread distribution of firefighting equipment, it's difficult to inspect all of them in real time. Consequently, only a portion of the equipment can be inspected and the corresponding collected information can be obtained within a certain period of time. Accordingly, the first preset time period can refer to a period prior to the current time point, and the second preset time period can refer to a historical period prior to the first preset time period. Therefore, this embodiment considers firefighting equipment inspected within the first preset time period as initial firefighting equipment. Based on the current collected information from the initial firefighting equipment within the first preset time period, the status of the initial firefighting equipment can be detected, providing a timely and direct representation of the current status of the initial firefighting equipment. Furthermore, firefighting equipment not inspected within the first preset time period is considered target firefighting equipment. Based on the historical collected information of the target firefighting equipment within the second preset time period, the current collected information of the initial firefighting equipment, and the historical collected information, the status of the target firefighting equipment can be detected, indirectly representing the current status of the initial firefighting equipment. This provides a data foundation for timely identification of faulty equipment and subsequent repair and replacement, thereby improving fire safety reliability.

[0022] The historically collected information may be the relevant information collected for the last time by the corresponding firefighting equipment within the second preset time period.

[0023] The equipment identification information may include information such as the type of fire-fighting equipment and the expiration date of the shelf life, and is used to identify the corresponding fire-fighting equipment.

[0024] The K preset indicators corresponding to firefighting equipment can be set based on the type of firefighting equipment. For example, the K preset indicators corresponding to fire extinguisher-type firefighting equipment may include appearance defects and the pressure difference between the fire extinguisher's pressure and the standard pressure. The K preset indicators corresponding to fire hydrant-type firefighting equipment may include appearance defects, the pressure difference between the fire hydrant's static pressure and the standard static pressure, and the pressure difference between the fire hydrant's dynamic pressure and the standard dynamic pressure. The K preset indicators corresponding to firefighting emergency lighting equipment may include appearance defects, the illumination difference between the firefighting emergency lighting fixture and the standard illumination, and the angle difference between the firefighting emergency lighting fixture's viewing angle and the standard viewing angle.

[0025] Since fire-fighting equipment in actual environments will be affected by various interference factors such as electromagnetic interference, ambient temperature, ambient humidity, and changes in wind intensity, which will have different degrees of impact on the normal operation and performance of the fire-fighting equipment, the P interference indicators corresponding to the fire-fighting equipment may include electromagnetic interference intensity, ambient temperature, ambient humidity, and wind intensity.

[0026] Therefore, by collecting equipment identification information, status data of each preset indicator and interference data of each interference indicator during manual inspection, the historical collection information of the target fire-fighting equipment, the current collection information and historical collection information of the initial fire-fighting equipment are obtained as the basis for detecting the current status of the fire-fighting equipment.

[0027] As described above, through in-depth analysis of the historical equipment status information and historical interference information accumulated in the past, the reference weights corresponding to each preset indicator and each interference indicator are determined, which serve as the measurement standard for the subsequent evaluation of the status of fire-fighting equipment. It is used to reasonably highlight the importance of certain key indicators when comprehensively considering various indicators, while also taking into account other relatively minor but still influential indicators, so as to more accurately judge the overall condition of the equipment.

[0028] In a specific embodiment, the K preset indicators include appearance defects, and the memory further stores a preset defect detection model, current collected images of each initial fire-fighting device within a first preset time period and historical collected images within a second preset time period, and historical collected images of each target fire-fighting device within the second preset time period. When the computer program is executed by the processor, the following steps are further implemented:

[0029] S10: Input the current collected image corresponding to each initial fire-fighting equipment into a preset defect detection model to obtain the current defect level of the corresponding initial fire-fighting equipment.

[0030] S20: Inputting the historically collected images corresponding to each initial fire-fighting equipment into a preset defect detection model to obtain the historical defect level of the corresponding initial fire-fighting equipment.

[0031] S30: Inputting the historically collected images corresponding to each target fire-fighting equipment into a preset defect detection model to obtain the historical defect level of the corresponding target fire-fighting equipment.

[0032] S40: Determine the current defect level of each initial fire-fighting equipment as current status data corresponding to the appearance defect of the initial fire-fighting equipment within a first preset time period.

[0033] S50: Determine the historical defect level of each initial fire-fighting equipment as historical status data corresponding to the appearance defects of the initial fire-fighting equipment within a second preset time period.

[0034] S60: Determine the historical defect level of each target fire-fighting equipment as historical status data corresponding to the appearance defects of the target fire-fighting equipment within a second preset time period.

[0035] The pre-set defect detection model is pre-trained using a large amount of labeled image data of exterior defects. It can identify various exterior defect features of firefighting equipment in captured images, such as dents, cracks, and loose or missing parts. When fed with current and historical images, the pre-set defect detection model analyzes and processes the images based on its learned feature patterns, ultimately outputting the defect level of the corresponding firefighting equipment. For example, the defect level can be set on a scale of 1-5, with level 1 indicating essentially no exterior defects and level 5 indicating severe exterior defects that significantly impact the proper functioning of the firefighting equipment.

[0036] As described above, based on the preset defect detection model, the features of the collected images are analyzed to obtain the current defect level and historical defect level of the initial fire-fighting equipment, as well as the historical defect level of the target fire-fighting equipment, providing a data basis for monitoring the target status of the fire-fighting equipment.

[0037] In one embodiment, S1 includes the following steps:

[0038] S11, based on all historical status information of the equipment and all historical interference information, standardize all historical status data corresponding to each preset indicator and all historical interference data corresponding to each interference indicator to obtain all historical status standard data corresponding to each preset indicator and all historical interference standard data corresponding to each interference indicator.

[0039] S12 , obtaining the chaos degree corresponding to each preset indicator and the chaos degree corresponding to each interference indicator according to all historical state standard data corresponding to each preset indicator and all historical interference standard data corresponding to each interference indicator.

[0040] S13, according to the chaos degree corresponding to each preset indicator and the chaos degree corresponding to each interference indicator, obtaining a reference weight corresponding to each preset indicator and a reference weight corresponding to each interference indicator, wherein the reference weight and the corresponding chaos degree are negatively correlated.

[0041] The magnitudes of different indicators may vary significantly. Therefore, this embodiment normalizes the original historical state data and historical interference data to enable more accurate and fair comparison of the data characteristics of different indicators in subsequent analysis. Those skilled in the art will appreciate that any standardization method in the prior art falls within the scope of protection of the present invention, and will not be described in detail here. For example, standardization methods include regularization methods, normalization methods, and scaling methods.

[0042] For each preset indicator, its degree of chaos is analyzed based on all its corresponding historical state standard data. For each interference indicator, its degree of chaos is analyzed based on all its corresponding historical interference standard data. Correspondingly, the greater the degree of chaos, the greater the data uncertainty of the corresponding indicator and the smaller the amount of information. Therefore, the reference weight is negatively correlated with the corresponding degree of chaos.

[0043] The degree of chaos can be measured by calculating statistics such as the degree of discreteness of the data, and the value range of the reference weight can be set, such as [0,1]. Then, linear mapping is performed according to the quantitative value of the degree of chaos to obtain the reference weight corresponding to each preset indicator and the reference weight corresponding to each interference indicator, which are used to characterize the importance of each indicator in monitoring the target state of fire-fighting equipment.

[0044] As mentioned above, by standardizing the original historical status data and historical interference data, the foundation is laid for the subsequent accurate analysis of the characteristics of each indicator, so that historical status data and historical interference data of different magnitudes and properties can be compared and analyzed under the same standard, avoiding analysis deviations caused by excessive data differences. By quantifying the degree of confusion of each indicator, a clear intermediate variable is provided for determining the reference weight, making the determination of the reference weight more scientific and reasonable, thereby improving the accuracy of subsequent status monitoring of fire-fighting equipment.

[0045] S2: Obtain the damage degree corresponding to each initial fire-fighting device according to the current status information of each initial fire-fighting device and the reference weight corresponding to each preset indicator.

[0046] In one embodiment, S2 includes the following steps:

[0047] S21 , for any initial fire-fighting equipment, standardize the current state data corresponding to the K preset indicators corresponding to the current initial fire-fighting equipment to obtain the current state standard data corresponding to the K preset indicators corresponding to the current initial fire-fighting equipment.

[0048] S22 , for any preset indicator corresponding to the current initial fire-fighting equipment, determine the product of the current state standard data corresponding to the current preset indicator and the corresponding reference weight as the damage sub-level corresponding to the current preset indicator.

[0049] S23, traversing all preset indicators corresponding to the current initial fire-fighting equipment, and obtaining all damage sub-levels corresponding to the current initial fire-fighting equipment.

[0050] S24: Determine the sum of all damage sub-levels corresponding to the current initial fire-fighting equipment as the damage level corresponding to the current preset indicator.

[0051] S25, traverse all initial fire-fighting devices, and obtain the damage degree corresponding to each preset index.

[0052] According to the current state information of each initial fire-fighting device and the reference weight value of each preset index obtained in advance, the damage degree corresponding to each initial fire-fighting device is quantitatively calculated, so that the evaluation of the damage of the device is more accurate and objective, and a key basis is provided for subsequent judgment of the target state of the device, thereby realizing effective monitoring and management of the state of the fire-fighting device.

[0053] S3, according to the damage degree corresponding to each initial fire-fighting device, obtain the target state information corresponding to each initial fire-fighting device, wherein the target state information includes normal, maintenance and scrap.

[0054] In a specific embodiment, the memory also stores a preset first damage degree threshold and a preset second damage degree threshold, and S3 includes the following steps:

[0055] S31, for any initial fire-fighting device, if the damage degree corresponding to the current initial fire-fighting device is less than or equal to the preset first damage degree threshold, it is determined that the target state information corresponding to the current initial fire-fighting device is normal.

[0056] S32, if the damage degree corresponding to the current initial fire-fighting device is greater than the preset first damage degree threshold and less than the preset second damage degree threshold, it is determined that the target state information corresponding to the current initial fire-fighting device is maintenance.

[0057] S33, if the damage degree corresponding to the current initial fire-fighting device is greater than or equal to the preset second damage degree threshold, it is determined that the target state information corresponding to the current initial fire-fighting device is scrap.

[0058] The specific values of the preset first damage degree threshold and the preset second damage degree threshold can be set by the implementer according to the actual situation.

[0059] According to the damage degree of each initial fire-fighting device and the preset damage degree threshold, the state of each initial fire-fighting device is classified and determined, thereby determining the target state information corresponding to each initial fire-fighting device, realizing the conversion from the quantitative damage degree to the intuitive device state classification, and providing a clear basis for subsequent management measures for fire-fighting devices in different states.

[0060] S4, according to the historical collection information corresponding to each target fire-fighting device, the current collection information corresponding to each initial fire-fighting device, the reference weight value corresponding to each preset index and the reference weight value corresponding to each interference index, filter the reference fire-fighting device corresponding to each target fire-fighting device from all initial fire-fighting devices.

[0061] In a specific embodiment, S4 includes the following steps:

[0062] S41, based on the current collected information corresponding to each initial fire-fighting device, the current state data corresponding to the K preset indicators corresponding to each initial fire-fighting device and the current interference data corresponding to the P interference indicators are standardized to obtain the current state standard data corresponding to the K preset indicators corresponding to each initial fire-fighting device and the current interference standard data corresponding to the P interference indicators.

[0063] S42, based on the historical collection information corresponding to each target fire-fighting equipment, the historical status data corresponding to the K preset indicators corresponding to each target fire-fighting equipment and the historical interference data corresponding to the P interference indicators are standardized to obtain the historical status standard data corresponding to the K preset indicators corresponding to each target fire-fighting equipment and the historical interference standard data corresponding to the P interference indicators.

[0064] S43, for any target fire-fighting equipment, perform a consistency comparison between the equipment identification information corresponding to the current target fire-fighting equipment and the equipment identification information corresponding to each initial fire-fighting equipment, and obtain a consistency comparison result between the current target fire-fighting equipment and each initial fire-fighting equipment, wherein the consistency comparison result includes consistency and inconsistency.

[0065] S44, each initial fire-fighting equipment that is consistent with the current target fire-fighting equipment as a result of consistency comparison is determined as a candidate fire-fighting equipment corresponding to the current target fire-fighting equipment.

[0066] S45. Based on the historical status standard data corresponding to the K preset indicators corresponding to the current target fire-fighting equipment and the historical interference standard data corresponding to the P interference indicators, the current status standard data corresponding to the K preset indicators corresponding to each initial fire-fighting equipment and the current interference standard data corresponding to the P interference indicators, the reference weight corresponding to each preset indicator and the reference weight corresponding to each interference indicator, the first similarity degree between the current target fire-fighting equipment and each initial fire-fighting equipment is obtained.

[0067] S46 , based on the first similarity between the current target fire-fighting equipment and each initial fire-fighting equipment, select reference fire-fighting equipment corresponding to the current target fire-fighting equipment from all the initial fire-fighting equipment.

[0068] S47, traverse all target fire-fighting equipment, and obtain the reference fire-fighting equipment corresponding to each target fire-fighting equipment.

[0069] Among them, in order to accurately compare the various indicator data between the initial fire-fighting equipment and the target fire-fighting equipment, and to screen out the initial fire-fighting equipment that is closest to the target fire-fighting equipment, it is necessary to first standardize the current collection information and historical collection information corresponding to the initial fire-fighting equipment, as well as the historical collection information corresponding to the target fire-fighting equipment, to provide unified standards and comparability.

[0070] Specifically, by comparing the equipment identification information of the target firefighting equipment with that of the initial firefighting equipment, a preliminary screening of initial firefighting equipment that may be of the same type or have some relevance to the target firefighting equipment is performed, thereby narrowing the scope of subsequent similarity comparisons. Furthermore, by comprehensively considering the historical state standard data and historical interference standard data of the target firefighting equipment, as well as the current state standard data and current interference standard data of the initial firefighting equipment, and combining the reference weights corresponding to each preset indicator and interference indicator, a first degree of similarity is calculated between the target firefighting equipment and each candidate initial firefighting equipment. This is used to screen out the initial firefighting equipment with the state closest to the target firefighting equipment, thereby indirectly representing the target state of the target firefighting equipment.

[0071] As described above, the historical collection information corresponding to each target fire-fighting equipment and the current collection information corresponding to each initial fire-fighting equipment are comprehensively considered, and the reference weight corresponding to each preset indicator and the reference weight corresponding to each interference indicator are combined to characterize the first similarity between the target fire-fighting equipment and each candidate initial fire-fighting equipment, so as to screen out the initial fire-fighting equipment that is closest to the status of the target fire-fighting equipment, so that the screened reference fire-fighting equipment and the target fire-fighting equipment have certain commonalities in terms of historical change trajectories, which is more in line with the continuous evolution of equipment status in actual scenarios, thereby indirectly characterizing the target status of the target fire-fighting equipment, and facilitating analogical analysis in fire-fighting equipment management to more accurately evaluate and predict the status of the target equipment.

[0072] In a specific embodiment, S45 includes the following steps:

[0073] S451, the similarity between the historical status standard data corresponding to the i-th preset indicator corresponding to the current target fire-fighting equipment and the current status standard data corresponding to the i-th preset indicator corresponding to each initial fire-fighting equipment is determined as the i-th first similarity between the current target fire-fighting equipment and each initial fire-fighting equipment, where i = 1, 2, ..., K, K refers to the total number of preset indicators.

[0074] S452, the similarity between the historical interference standard data corresponding to the j-th interference indicator corresponding to the current target fire-fighting equipment and the current interference standard data corresponding to the j-th preset indicator corresponding to each initial fire-fighting equipment is determined as the j-th second similarity between the current target fire-fighting equipment and each initial fire-fighting equipment, where j = 1, 2, ..., P, P refers to the total number of interference indicators.

[0075] S453, according to the reference weight corresponding to each preset indicator and the reference weight corresponding to each interference indicator, the K first similarities and P second similarities between the current target fire-fighting equipment and each initial fire-fighting equipment are weightedly summed to obtain the first similarity between the current target fire-fighting equipment and each initial fire-fighting equipment.

[0076] As mentioned above, by respectively calculating the similarity between the historical data of the target fire-fighting equipment and the current data of the initial fire-fighting equipment in terms of the preset indicators and the interference indicators, and combining the reference weights corresponding to each indicator, we can finally obtain a first similarity value that can comprehensively reflect the similarity between the current target fire-fighting equipment and each initial fire-fighting equipment, which provides a key basis for the subsequent accurate screening of the reference fire-fighting equipment corresponding to the target fire-fighting equipment.

[0077] In a specific embodiment, the memory further stores a preset current information weight and a preset historical information weight, and S4 further includes the following steps:

[0078] S410, based on the historical collection information corresponding to each initial fire-fighting device, the historical status data corresponding to the K preset indicators corresponding to each initial fire-fighting device and the historical interference data corresponding to the P interference indicators are standardized to obtain the historical status standard data corresponding to the K preset indicators corresponding to each initial fire-fighting device and the historical interference standard data corresponding to the P interference indicators.

[0079] S420, based on the historical status standard data corresponding to the K preset indicators corresponding to the current target fire-fighting equipment and the historical interference standard data corresponding to the P interference indicators, the historical status standard data corresponding to the K preset indicators corresponding to each initial fire-fighting equipment and the historical interference standard data corresponding to the P interference indicators, the reference weight corresponding to each preset indicator and the reference weight corresponding to each interference indicator, obtain the second similarity between the current target fire-fighting equipment and each initial fire-fighting equipment.

[0080] S430, based on the first similarity between the current target fire-fighting equipment and each initial fire-fighting equipment, the preset current information weight, the second similarity between the current target fire-fighting equipment and each initial fire-fighting equipment, and the preset historical information weight, obtain the target similarity between the current target fire-fighting equipment and each initial fire-fighting equipment.

[0081] S440 , based on the target similarity between the current target fire-fighting equipment and each initial fire-fighting equipment, select reference fire-fighting equipment corresponding to the current target fire-fighting equipment from all the initial fire-fighting equipment.

[0082] As mentioned above, by introducing preset current information weights and historical information weights, the impact of current collected information and historical collected information from different information sources on the similarity between the target fire-fighting equipment and the initial fire-fighting equipment is further comprehensively considered. It can be judged from the current real-time indicator similarity, and it can also be considered from the historical long-term operating trends, response to interference and other aspects. This ensures that the screened reference fire-fighting equipment can maintain a high similarity with the target equipment in multiple dimensions. The target similarity is used to more accurately screen the basis for reference fire-fighting equipment, so that the screening results can more comprehensively and accurately reflect the actual similarity between the equipment.

[0083] S5. Acquire target state information corresponding to each target fire-fighting device according to the target state corresponding to the reference fire-fighting device corresponding to each target fire-fighting device.

[0084] The target state corresponding to the reference fire-fighting equipment corresponding to each target fire-fighting equipment is determined as the target state corresponding to the target fire-fighting equipment.

[0085] In the above, by referring to the target state of the reference fire-fighting equipment corresponding to each target fire-fighting equipment, the target state information corresponding to each target fire-fighting equipment itself is inferred and determined. The similarity between the reference fire-fighting equipment and the target fire-fighting equipment and the clear target state of the reference fire-fighting equipment are utilized, providing an indirect but effective method for the status evaluation of the target fire-fighting equipment.

[0086] S6: Input the target status information corresponding to each initial fire-fighting device and the target status information corresponding to each target fire-fighting device into the corresponding fire-fighting APP.

[0087] Among them, the target status corresponding to each initial fire-fighting equipment and the target status information corresponding to each target fire-fighting equipment are input into the corresponding fire-fighting APP, so that relevant fire-fighting personnel can conveniently obtain the latest status information of the fire-fighting equipment through the fire-fighting APP, so as to make timely and accurate decisions in daily management and response to emergencies such as fires.

[0088] In the above, the reference weight corresponding to each preset indicator and each interference indicator is quantified according to all the historical status information of the equipment and all the historical interference information. The damage degree corresponding to each initial fire-fighting equipment is quantified according to the current status information of each initial fire-fighting equipment and the reference weight corresponding to each preset indicator. The reference weight highlights the importance of each preset indicator in analyzing the damage degree of the fire-fighting equipment, making the assessment of the damage degree of the equipment more accurate and objective, converting the damage degree into intuitive target status information, and comprehensively considering the historical collection information corresponding to each target fire-fighting equipment and the current collection information corresponding to each initial fire-fighting equipment, combined with the reference weight corresponding to each preset indicator and the reference weight corresponding to each interference indicator. The reference weight is used to characterize the first similarity between the target fire-fighting equipment and each candidate initial fire-fighting equipment, and is used to screen out the initial fire-fighting equipment that is closest to the status of the target fire-fighting equipment, so that the screened reference fire-fighting equipment and the target fire-fighting equipment have certain commonalities in historical change trajectories, which is more in line with the continuous evolution of equipment status in actual scenarios, thereby indirectly characterizing the target status of the target fire-fighting equipment, and facilitating analogical analysis in fire-fighting equipment management to more accurately evaluate and monitor the status of the target fire-fighting equipment, so that relevant firefighters can easily obtain the latest status information of fire-fighting equipment through the fire APP, so as to make timely and accurate decisions in daily management and in response to emergencies such as fires.

[0089] Although some specific embodiments of the present invention have been described in detail by way of example, it should be understood by those skilled in the art that the above examples are for illustration only and are not intended to limit the scope of the present invention. It should also be understood by those skilled in the art that various modifications may be made to the embodiments without departing from the scope and spirit of the present invention. The scope of the present invention is defined by the appended claims.

Claims

1. A system for generating message monitoring information sent to a fire protection APP, characterized in that: The generation system includes a processor and a memory storing a computer program, wherein the memory further stores M initial fire-fighting equipment, N target fire-fighting equipment, current collected information of each initial fire-fighting equipment within a first preset time period and historical collected information within a second preset time period, and historical collected information of each target fire-fighting equipment within the second preset time period, wherein the current collected information includes equipment identification information, equipment current state information, and current interference information, the equipment current state information includes current state data corresponding to K preset indicators, the current interference information includes current interference data corresponding to K interference indicators, the historical collected information includes equipment identification information, equipment historical state information, and historical interference information, the equipment historical state information includes historical state data corresponding to K preset indicators, and the historical interference information includes historical interference data corresponding to P interference indicators, the second preset time period is earlier than the first preset time period, M, N, K, and P are all integers greater than 0, and when the computer program is executed by the processor, the following steps are implemented: S1, based on all historical device status information and all historical interference information, obtain the reference weight corresponding to each preset indicator and each interference indicator; S2, obtaining the damage degree corresponding to each initial fire-fighting device based on the current status information of each initial fire-fighting device and the reference weight corresponding to each preset indicator; S3, acquiring target status information corresponding to each initial fire-fighting equipment according to the damage degree corresponding to each initial fire-fighting equipment, wherein the target status information includes normal, repair, and scrapped; S4, based on the historical collected information corresponding to each target fire-fighting device, the current collected information corresponding to each initial fire-fighting device, the reference weight corresponding to each preset indicator, and the reference weight corresponding to each interference indicator, screening out a reference fire-fighting device corresponding to each target fire-fighting device from all the initial fire-fighting devices, wherein S4 includes the following steps: S41, based on the currently collected information corresponding to each initial fire-fighting device, standardize the current state data corresponding to the K preset indicators and the current interference data corresponding to the P interference indicators corresponding to each initial fire-fighting device to obtain the current state standard data corresponding to the K preset indicators and the current interference standard data corresponding to the P interference indicators corresponding to each initial fire-fighting device; S42, based on the historical collected information corresponding to each target fire-fighting device, standardize the historical status data corresponding to the K preset indicators and the historical interference data corresponding to the P interference indicators corresponding to each target fire-fighting device, and obtain the historical status standard data corresponding to the K preset indicators and the historical interference standard data corresponding to the P interference indicators corresponding to each target fire-fighting device; S43: For any target firefighting equipment, performing a consistency comparison between the equipment identification information corresponding to the current target firefighting equipment and the equipment identification information corresponding to each initial firefighting equipment, obtaining a consistency comparison result between the current target firefighting equipment and each initial firefighting equipment, wherein the consistency comparison result includes consistency and inconsistency; S44, determining each initial fire-fighting equipment that is consistent with the current target fire-fighting equipment as a candidate fire-fighting equipment corresponding to the current target fire-fighting equipment; S45, obtaining a first degree of similarity between the current target fire-fighting equipment and each of the initial fire-fighting equipment based on the historical state standard data corresponding to the K preset indicators and the historical interference standard data corresponding to the P interference indicators corresponding to the current target fire-fighting equipment, the current state standard data corresponding to the K preset indicators and the current interference standard data corresponding to the P interference indicators corresponding to each of the initial fire-fighting equipment, the reference weight corresponding to each preset indicator, and the reference weight corresponding to each interference indicator; S46, based on the first similarity between the current target fire-fighting equipment and each initial fire-fighting equipment, selecting a reference fire-fighting equipment corresponding to the current target fire-fighting equipment from all the initial fire-fighting equipment; S47, traverse all target fire-fighting equipment and obtain the reference fire-fighting equipment corresponding to each target fire-fighting equipment; S5, acquiring target state information corresponding to each target fire-fighting device according to the target state corresponding to the reference fire-fighting device corresponding to each target fire-fighting device; S6. Input the target status information corresponding to each initial fire-fighting device and the target status information corresponding to each target fire-fighting device into the corresponding fire-fighting APP.

2. The generation system according to claim 1, characterized in that The K preset indicators include appearance defects. The memory further stores a preset defect detection model, current collected images of each initial fire-fighting device within the first preset time period and historical collected images within the second preset time period, and historical collected images of each target fire-fighting device within the second preset time period. When the computer program is executed by the processor, the following steps are further implemented: S10, inputting the currently acquired image corresponding to each initial fire-fighting equipment into the preset defect detection model to obtain the current defect level of the corresponding initial fire-fighting equipment; S20, inputting the historically collected images corresponding to each initial fire-fighting equipment into the preset defect detection model to obtain the historical defect level of the corresponding initial fire-fighting equipment; S30, inputting the historically collected images corresponding to each target fire-fighting equipment into the preset defect detection model to obtain the historical defect level of the corresponding target fire-fighting equipment; S40, determining the current defect level of each initial fire-fighting equipment as current status data corresponding to the appearance defect of the initial fire-fighting equipment within the first preset time period; S50, determining the historical defect level of each initial fire-fighting equipment as historical status data corresponding to the appearance defect of the initial fire-fighting equipment within the second preset time period; S60: Determine the historical defect level of each target fire-fighting equipment as historical status data corresponding to the appearance defects of the corresponding target fire-fighting equipment within the second preset time period.

3. The generation system according to claim 1, characterized in that S1 includes the following steps: S11, based on all historical device status information and all historical interference information, standardize all historical status data corresponding to each preset indicator and all historical interference data corresponding to each interference indicator to obtain all historical status standard data corresponding to each preset indicator and all historical interference standard data corresponding to each interference indicator; S12, obtaining the chaos degree corresponding to each preset indicator and the chaos degree corresponding to each interference indicator based on all historical state standard data corresponding to each preset indicator and all historical interference standard data corresponding to each interference indicator; S13, according to the chaos degree corresponding to each preset indicator and the chaos degree corresponding to each interference indicator, obtaining a reference weight corresponding to each preset indicator and a reference weight corresponding to each interference indicator, wherein the reference weight and the corresponding chaos degree are negatively correlated.

4. The generation system according to claim 1, characterized in that S2 includes the following steps: S21, for any initial fire-fighting equipment, performing standardization processing on the current state data corresponding to the K preset indicators corresponding to the current initial fire-fighting equipment, and obtaining the current state standard data corresponding to the K preset indicators corresponding to the current initial fire-fighting equipment; S22, for any preset indicator corresponding to the current initial fire-fighting equipment, multiplying the current state standard data corresponding to the current preset indicator and the corresponding reference weight value as the damage sub-level corresponding to the current preset indicator; S23, traversing all preset indicators corresponding to the current initial fire-fighting equipment to obtain all damage sub-levels corresponding to the current initial fire-fighting equipment; S24, determining the damage degree corresponding to the current preset indicator as the sum of all damage sub-degrees corresponding to the current initial fire-fighting equipment; S25, traverse all initial fire-fighting equipment to obtain the damage degree corresponding to each preset indicator.

5. The generation system according to claim 1, characterized in that The memory further stores a preset first damage degree threshold and a preset second damage degree threshold. S3 includes the following steps: S31, for any initial fire-fighting equipment, if the damage level corresponding to the current initial fire-fighting equipment is less than or equal to the preset first damage level threshold, determining that the target state information corresponding to the current initial fire-fighting equipment is normal; S32, if the damage degree corresponding to the current initial fire-fighting equipment is greater than the preset first damage degree threshold and less than the preset second damage degree threshold, determining that the target state information corresponding to the current initial fire-fighting equipment is maintenance; S33: If the damage degree corresponding to the current initial fire-fighting equipment is greater than or equal to the preset second damage degree threshold, determine that the target state information corresponding to the current initial fire-fighting equipment is scrapped.

6. The generation system according to claim 1, characterized in that S45 includes the following steps: S451, determining the similarity between the historical state standard data corresponding to the i-th preset indicator corresponding to the current target fire-fighting equipment and the current state standard data corresponding to the i-th preset indicator corresponding to each initial fire-fighting equipment as the i-th first similarity between the current target fire-fighting equipment and each initial fire-fighting equipment, where i=1, 2, ..., K, where K refers to the total number of preset indicators; S452, determining the similarity between the historical interference standard data corresponding to the j-th interference index corresponding to the current target fire-fighting equipment and the current interference standard data corresponding to the j-th preset index corresponding to each initial fire-fighting equipment as the j-th second similarity between the current target fire-fighting equipment and each initial fire-fighting equipment, where j=1, 2, ..., P, and P refers to the total number of interference indexes; S453, according to the reference weight corresponding to each preset indicator and the reference weight corresponding to each interference indicator, the K first similarities and P second similarities between the current target fire-fighting equipment and each initial fire-fighting equipment are weightedly summed to obtain the first similarity between the current target fire-fighting equipment and each initial fire-fighting equipment.

7. The generation system according to claim 1, characterized in that The memory also stores a preset current information weight and a preset historical information weight. S4 further includes the following steps: S410, based on the historical collected information corresponding to each initial fire-fighting device, standardize the historical status data corresponding to the K preset indicators and the historical interference data corresponding to the P interference indicators corresponding to each initial fire-fighting device, and obtain the historical status standard data corresponding to the K preset indicators and the historical interference standard data corresponding to the P interference indicators corresponding to each initial fire-fighting device; S420, obtaining a second degree of similarity between the current target fire-fighting equipment and each of the initial fire-fighting equipment based on the historical state standard data corresponding to the K preset indicators and the historical interference standard data corresponding to the P interference indicators corresponding to the current target fire-fighting equipment, the historical state standard data corresponding to the K preset indicators and the historical interference standard data corresponding to the P interference indicators corresponding to each of the initial fire-fighting equipment, a reference weight corresponding to each preset indicator, and a reference weight corresponding to each interference indicator; S430, obtaining a target similarity between the current target firefighting equipment and each initial firefighting equipment based on the first similarity between the current target firefighting equipment and each initial firefighting equipment, the preset current information weight, the second similarity between the current target firefighting equipment and each initial firefighting equipment, and the preset historical information weight; S440 , based on the target similarity between the current target fire-fighting equipment and each initial fire-fighting equipment, select reference fire-fighting equipment corresponding to the current target fire-fighting equipment from all the initial fire-fighting equipment.

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