Safety early warning method and device and electronic equipment

Abstract

The embodiment of the invention provides a safety early warning method and device and electronic equipment, and relates to the technical field of safety production, and the method comprises the steps: obtaining target information and standard information, the target information comprises actual operation information and / or actual operation information, and the standard information comprises operation standard information and / or standard operation information; according to the target information and the standard information, target abnormal features are determined, and the target features comprise abnormal operation features and / or abnormal operation features; and generating target early warning information according to the target features. In this way, the target features can be automatically and accurately recognized according to the target information and the standard information, the target early warning information can be automatically generated according to the target features, the safety early warning intelligent level can be improved, and the safety early warning precision can be improved.

Description

Technical Field

[0001] The embodiments of the present application relate to the field of production safety technology, and in particular to a safety warning method, device and electronic equipment. Background Art

[0002] In production safety, safety warning is mainly used to prevent accidents. At present, in the relevant technologies, safety warning in production safety process mostly relies on manual work, which has problems such as low intelligence level and poor accuracy of safety warning.

[0003] Therefore, a new technical solution is urgently needed to solve the above technical problems. Summary of the invention

[0004] According to the embodiments of the present application, a security warning method, device and electronic equipment are provided, which are conducive to realizing automatic and accurate identification of target characteristics based on target information and standard information, and automatic generation of target warning information based on target characteristics, which is conducive to improving the intelligence level of security warnings and improving the accuracy of security warnings.

[0005] In a first aspect of the present application, a safety warning method is provided, comprising: obtaining target information and standard information, wherein the target information comprises: actual operation information and / or actual operation information, and the standard information comprises: operation standard information and / or standard operation information; Determine target abnormal characteristics according to the target information and the standard information, wherein the target characteristics include: abnormal operation characteristics and / or abnormal operation characteristics; Generate target warning information based on target characteristics.

[0006] In some feasible implementations, determining target abnormal features according to target information and standard information includes: Determine actual operation characteristics based on actual operation information; Determine the standard characteristics of operations based on standard information; When the similarity between the actual operation feature and the operation standard feature is less than or equal to the preset similarity, the actual operation feature is determined to be an abnormal operation feature.

[0007] In some feasible implementations, the above method further includes: Determine the necessary operation feature set based on the operation standard information; Determine an actual operation feature set according to the actual operation information; When it is determined that the actual operation feature set lacks any feature in the necessary operation feature set, target warning information is generated.

[0008] In some feasible implementations, determining the target abnormality feature according to the target information and the standard information includes: Determine actual operation characteristics based on actual operation information; Determine standard operation characteristics based on standard operation information; When the difference between the actual operation feature and the standard operation feature is greater than or equal to the preset difference, the actual operation feature is determined to be an abnormal operation feature.

[0009] In some feasible implementations, the method as described in any of the above items further includes: Obtain historical accident data; Generate anomaly feature sets based on historical accident data; Generate an actual feature set based on the target information; Determine the target feature based on the actual feature set and the abnormal feature set.

[0010] In some feasible implementations, the recognition window size corresponding to the abnormal operation feature is less than or equal to the first preset size; and / or, The identification window size corresponding to the abnormal operation feature is smaller than or equal to the second preset size.

[0011] In some feasible implementations, the above method further includes: The second preset size is modified according to the life information of the target device.

[0012] In some feasible implementations, the above method further includes: Determine the target hazard level based on the risk value corresponding to each target feature, the category to which each target feature belongs, and the weight corresponding to the above category; Determine the target receiving node set according to the target danger level; Send target warning information according to the target receiving node set.

[0013] In a second aspect of the present application, a safety warning device is provided, comprising: An acquisition unit, acquiring target information and standard information, wherein the target information includes: actual operation information and / or actual operation information, and the standard information includes: operation standard information and / or standard operation information; A determination unit determines target abnormal characteristics according to the target information and the standard information, wherein the target characteristics include: abnormal operation characteristics and / or abnormal operation characteristics; The generation unit generates target warning information according to target characteristics.

[0014] In a third aspect of the present application, an electronic device is provided, comprising: a processor and a memory, wherein the memory stores computer program instructions, and the computer program instructions are used by the processor to execute the security warning method as described in any one of the above items when the processor is running.

[0015] The embodiments of the present application provide a safety warning method, device and electronic device, wherein the method includes: obtaining target information and standard information, wherein the target information includes: actual operation information and / or actual operation information, and the standard information includes: operation standard information and / or standard operation information; determining target abnormal characteristics based on the target information and standard information, wherein the target characteristics include: abnormal operation characteristics and / or abnormal operation characteristics; generating target warning information based on the target characteristics. The present application is conducive to realizing automatic and accurate identification of target characteristics based on target information and standard information, and automatic generation of target warning information based on target characteristics, which is conducive to improving the intelligent level of safety warning and improving the accuracy of safety warning.

[0016] It should be understood that the contents described in the summary of the invention are not intended to limit the key or important features of the embodiments of the present application, nor are they intended to limit the scope of the present application. Other features of the present application will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The above and other features, advantages and aspects of the embodiments of the present application will become more apparent with reference to the following detailed description in conjunction with the accompanying drawings. In the accompanying drawings, the same or similar reference numerals represent the same or similar elements, wherein: Figure 1 A schematic diagram of a process of a safety warning method provided in an embodiment of the present application; Figure 2 A structural schematic diagram of a safety warning device provided in an embodiment of the present application; Figure 3 A structural schematic diagram of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0018] In order to make the purpose, technical solution and advantages of the embodiments of the present disclosure clearer, the technical solution in the embodiments of the present disclosure will be clearly and completely described below in conjunction with the drawings in the embodiments of the present disclosure. Obviously, the described embodiments are part of the embodiments of the present disclosure, not all of the embodiments. Based on the embodiments in the present disclosure, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present disclosure.

[0019] In addition, the term "and / or" in this article is only a description of the association relationship between the associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship.

[0020] According to a first aspect of an embodiment of the present application, a security warning method is proposed. Figure 1 A schematic diagram of a safety warning method 100 provided in an embodiment of the present application is shown in FIG. Figure 1 As shown, the method 100 includes: Step S110, acquiring target information and standard information, wherein the target information includes: actual operation information and / or actual operation information, and the standard information includes: operation standard information and / or standard operation information.

[0021] Exemplarily, the above-mentioned actual operation information can be determined by real-time analysis of the target person's operation video data captured by the camera at the target position.

[0022] The actual operation information may include actual operation power, actual operation pressure, actual operation temperature, and / or actual vibration frequency, etc. The actual operation information may be determined by retrieving IoT data in real time, analyzing monitoring data of target pressure sensors, target temperature sensors and other devices at the target device, and / or analyzing the operation log of the target device.

[0023] Exemplarily, the above-mentioned operating standard information can be determined by parsing the regulations manual, and / or the safety operation manual.

[0024] Exemplarily, the standard operation information can be determined by parsing the instruction manual and / or querying the brand information of the target device. The standard operation information can include: the operating power, operating pressure, operating temperature, and / or vibration frequency of the target device in a safe operating state.

[0025] Step S120, determining target abnormal characteristics according to the target information and the standard information, wherein the target characteristics include: abnormal operation characteristics and / or abnormal operation characteristics.

[0026] It should be noted that a target pre-cleaning operation may be performed on the target information and the standard information in advance to remove abnormal values ​​in the target information and the standard information, supplement missing values ​​in the target information and the standard information, and / or deduplicate duplicate data in the target information and the standard information.

[0027] In some feasible implementations, determining the target abnormal feature based on the target information and the standard information includes: determining the actual operation feature based on the actual operation information; determining the operation standard feature based on the standard information; and determining the actual operation feature as an abnormal operation feature when the similarity between the actual operation feature and the operation standard feature is less than or equal to a preset similarity.

[0028] It should be noted that the above-mentioned preset similarity can be set in grades according to the safety production requirements of the target enterprise. Among them, the above-mentioned preset similarity is positively correlated with the safety production requirements of the target enterprise, that is, the higher the safety production requirements of the target enterprise, the higher the preset similarity. Among them, the similarity between the above-mentioned actual operation characteristics and the operation standard characteristics can be determined based on the Euclidean distance.

[0029] For example, the actual operation features of the target person may be determined by analyzing the target person's operation video data frame by frame, wherein the actual operation features may include: actual action features and / or position features corresponding to the actual action.

[0030] For example, the operation standard features may be determined by parsing the rules and regulations manual and / or the safety operation manual, wherein the operation standard features may include: action standard features and / or position features corresponding to the action standards.

[0031] Specifically, when the actual operation feature is wearing safety equipment, the action feature similarity can be determined based on the actual action feature and the action standard feature. When the action feature similarity is less than or equal to the preset action feature similarity, the actual action feature is determined to be an abnormal operation feature.

[0032] And / or, the position feature similarity is determined based on the position feature corresponding to the actual action and the position feature corresponding to the action standard. When the position feature similarity is less than or equal to the preset position feature similarity, the position feature corresponding to the actual action is an abnormal operation feature.

[0033] For example: the actual action characteristics of the target person wearing protective equipment and / or the wearing position characteristics can be determined by analyzing the target person's operation video data frame by frame. When the similarity between the actual action characteristics of wearing protective equipment and the standard action characteristics of wearing protective equipment is less than or equal to the corresponding preset wearing feature similarity, the actual action characteristics of the user wearing protection are determined to be abnormal operation characteristics. And / or, when the similarity between the actual wearing position characteristics of the protective equipment and the standard wearing position characteristics of the protective equipment is less than or equal to the corresponding preset position feature similarity, the actual position characteristics of the user wearing protection are determined to be abnormal operation characteristics. Among them, the above-mentioned protective users may include: wearing safety helmets, insulating shoes, etc.

[0034] Based on this, the above method can accurately determine the actual operation characteristics according to the actual operation information; accurately determine the operation standard characteristics according to the standard information. When the similarity between the actual operation characteristics and the operation standard characteristics is less than or equal to the preset similarity, the actual operation characteristics are automatically and accurately determined as abnormal operation characteristics, which is conducive to improving the determination efficiency and determination accuracy of abnormal operation characteristics, thereby improving the determination efficiency and determination accuracy of target abnormal characteristics.

[0035] In some feasible implementations, the above-mentioned determination of target abnormal characteristics based on target information and standard information includes: determining actual operating characteristics based on actual operating information; determining standard operating characteristics based on standard operating information; and determining that the actual operating characteristics are abnormal operating characteristics when the difference between the actual operating characteristics and the standard operating characteristics is greater than or equal to a preset difference.

[0036] Exemplarily, actual operating power characteristics, actual operating pressure characteristics, actual operating temperature characteristics, and / or actual vibration frequency characteristics of the target device may be determined based on actual operating information of the target device.

[0037] In some feasible implementations, the actual operating power characteristic curve, the actual operating pressure characteristic curve, the actual operating temperature characteristic curve, and / or the actual vibration frequency characteristic curve of the target device may be output according to the actual operating information of the target device.

[0038] Exemplarily, the standard operation power feature, standard operation pressure feature, standard operation temperature feature, and / or standard vibration frequency feature of the target device may be determined according to the standard operation information.

[0039] In some feasible implementations, a standard operating power characteristic curve, a standard operating pressure characteristic curve, a standard operating temperature characteristic curve, and / or a standard vibration frequency characteristic curve of the target device may be output according to the standard operating information of the target device.

[0040] Specifically, when the difference between the actual operation power characteristic curve and the standard operation power characteristic curve is greater than or equal to a preset power difference, the actual operation power characteristic is determined to be an abnormal operation characteristic.

[0041] Specifically, when the difference between the actual operating pressure characteristic curve and the standard operating pressure characteristic curve is greater than or equal to a preset pressure difference, the actual operating pressure characteristic is determined to be an abnormal operating characteristic.

[0042] Specifically, when the difference between the actual operating temperature characteristic curve and the standard operating temperature characteristic curve is greater than or equal to a preset temperature difference, the actual operating temperature characteristic is determined to be an abnormal operating characteristic.

[0043] Specifically, when the difference between the actual vibration frequency characteristic curve and the standard vibration frequency characteristic curve is greater than or equal to the preset vibration frequency difference, the actual operation vibration frequency characteristic is determined to be an abnormal operation characteristic.

[0044] It should be noted that the above-mentioned preset power difference, preset pressure difference, preset temperature difference, and / or preset vibration frequency difference are negatively correlated with the target enterprise's production safety needs, that is, the higher the target enterprise's production safety needs, the smaller the above-mentioned preset power difference, preset pressure difference, preset temperature difference, and / or preset vibration frequency difference.

[0045] Therefore, the above method can accurately determine the actual operation characteristics based on the actual operation information; accurately determine the standard operation characteristics based on the standard operation information, and automatically and accurately determine the actual operation characteristics as abnormal operation characteristics when the difference between the actual operation characteristics and the standard operation characteristics is greater than or equal to the preset difference, which is conducive to improving the determination efficiency and accuracy of abnormal operation characteristics, thereby improving the determination efficiency and accuracy of target abnormal characteristics.

[0046] Step S130, generating target warning information according to the target characteristics.

[0047] It should be noted that the above-mentioned target warning information may include: abnormal operation characteristics, and / or abnormal operation characteristics analysis report. Among them, the above-mentioned abnormal operation characteristics, and / or abnormal operation characteristics analysis report may include: abnormal operation characteristics, and / or abnormal operation characteristics, dangerous accidents that are expected to be caused; abnormal operation characteristics, and / or abnormal operation characteristics, the degree of danger that is expected to be caused; abnormal operation characteristics, and / or abnormal operation characteristics, corresponding rectification strategies; abnormal operation characteristics, and / or abnormal operation characteristics, corresponding risk types; abnormal operation characteristics, and / or abnormal operation characteristics, corresponding risk probabilities, etc.

[0048] Exemplarily, corresponding target abnormal operation warning information may be generated based on the abnormal operation characteristics, and / or corresponding target abnormal operation warning information may be generated based on the above-mentioned abnormal operation characteristics.

[0049] Based on this, the safety warning method proposed in this application includes: obtaining target information and standard information, wherein the target information includes: actual operation information and / or actual operation information, and the standard information includes: operation standard information and / or standard operation information; determining target abnormal characteristics according to the target information and standard information, wherein the target characteristics include: abnormal operation characteristics and / or abnormal operation characteristics; generating target warning information according to the target characteristics. This application is conducive to realizing the automatic and accurate determination of abnormal operation characteristics and / or abnormal operation characteristics according to the target information and standard information, generating corresponding target warning information according to the abnormal operation characteristics and / or abnormal operation characteristics, and is conducive to realizing the parallel monitoring of the dangers caused by abnormal operation of personnel and / or the dangers caused by abnormal operation of equipment, and based on the abnormal operation characteristics and / or abnormal operation characteristics, accurately generating corresponding target warning information in parallel, improving the warning dimension and warning accuracy of the target warning information, thereby improving the automatic generation level of target warning information, improving the intelligent level of safety warning, and improving the accuracy of safety warning.

[0050] In some feasible implementations, the above method also includes: determining a necessary operation feature set based on operation standard information; determining an actual operation feature set based on actual operation information; and generating target warning information when it is determined that the actual operation feature set lacks any feature in the necessary operation feature set.

[0051] Exemplarily, the above-mentioned necessary operation feature set may include: multiple necessary operation features, and / or necessary operation sequence features between the multiple necessary operation features.

[0052] It should be noted that the above-mentioned necessary operation feature set may include: lack of the above-mentioned operation features, and / or, operation sequence features, and corresponding operation features that will cause serious accidents when executing the corresponding tasks. Among them, the above-mentioned serious accidents may include: casualties, and / or, equipment damage.

[0053] Exemplarily, the necessary operation feature set may include: power outage operation, power testing operation, ground wire connection operation, etc. in high-voltage electrical equipment maintenance tasks.

[0054] Exemplarily, the above-mentioned necessary operation feature set may also include: in a power outage task, a necessary operation sequence feature of first disconnecting the circuit breaker and then disconnecting the ground switch.

[0055] Exemplarily, the above-mentioned necessary operation feature set may also include: using insulating tools to operate in electrical operation tasks, etc.

[0056] Exemplarily, the above-mentioned necessary operation feature set may also include: operations of wearing protective gear, etc.

[0057] Exemplarily, the above-mentioned necessary operation feature set may also include: using a safety belt to operate in height work tasks, etc.

[0058] Exemplarily, the above-mentioned necessary operation feature set may also include: the arrangement of danger warnings, etc. The arrangement of the above-mentioned danger warnings may include: anti-slip warnings, and / or, height falling object warnings, etc.

[0059] Exemplarily, the above-mentioned actual operation feature set may include: all actual operation features of the target user in the process of performing the target task, and / or actual sequence features between all actual operation features. Among them, all the above-mentioned actual operation features correspond to all actual actions of the target user in the process of performing the target task. The actual sequence features between all the above-mentioned actual operation features correspond to the actual sequence between all actual actions of the target user.

[0060] Specifically, when it is determined that the actual operation feature set lacks any action feature in the necessary operation feature set, and / or when it is determined that there is a contradiction between the actual operation sequence feature in the actual operation feature set and the necessary operation feature sequence in the necessary operation feature set, target warning information corresponding to the lack of necessary operation features and / or contradictory sequence features is generated.

[0061] Based on this, the above method can accurately determine the necessary operation feature set based on the operation standard information; accurately determine the actual operation feature set based on the actual operation information; when it is determined that the actual operation feature set lacks any feature in the necessary operation feature set, accurately generate corresponding target warning information, which is conducive to intelligent and accurate prevention of major casualties and / or equipment damage accidents, reducing the risk of major accidents and promoting safe production.

[0062] In some feasible implementations, the method as described in any of the above items also includes: acquiring historical accident data; generating an abnormal feature set based on the historical accident data; generating an actual feature set based on the target information; and determining the target feature based on the actual feature set and the abnormal feature set.

[0063] In some feasible implementations, the above historical accident data includes: accident record archive data of the target enterprise within a preset time, accident case data with high reference value in the industry to which the target enterprise belongs, and / or fault alarm data of the target device. The data form of the above historical accident data may include: video data, and / or document data. The accident types of the above historical accident data may include: electric shock accident data, fire accident data, equipment damage accident data, etc.

[0064] The accident record file data of the target enterprise within the above preset time can be obtained by retrieving the data recorded by the target enterprise. The above preset time can be set by the target enterprise according to actual needs.

[0065] Among them, the accident case data with higher reference value in the industry to which the above-mentioned target enterprise belongs can be obtained based on the accident reports issued by the industry association to which the target enterprise belongs, and / or the regulatory agency to which the target enterprise belongs.

[0066] The fault alarm data of the target device may be determined based on the alarm record of the target device.

[0067] It should be noted that the above-mentioned abnormal feature set can be generated based on the accident record archive data of the target enterprise within the above-mentioned preset time, the accident case data with high reference value in the industry to which the target enterprise belongs, and / or the fault alarm data of the target equipment, wherein the above-mentioned abnormal feature set may include: an abnormal operation feature set, and / or an abnormal operation feature set.

[0068] Exemplarily, the cause of the target historical accident can be determined based on the historical accident data, and the abnormal features can be determined based on the cause of the target historical accident to generate the above-mentioned abnormal feature set.

[0069] Specifically, when the target historical accident is: the target personnel did not wear a safety belt during the high-altitude operation, resulting in the target personnel falling and being injured, the cause of the target historical accident is determined to be: the safety belt was not used during the high-altitude operation, and "not using a safety belt" is attributed to the target personnel abnormal operation feature set, and "high-altitude operation" is attributed to the target environment feature. It should be noted that in this case, the abnormal feature is the combined abnormal feature of "the target personnel did not use a safety belt" and "high-altitude operation", and the above-mentioned combined abnormal feature is attributed to the abnormal operation feature set to generate the abnormal feature set.

[0070] Specifically, when the target historical accident is: the target device is damaged due to overtemperature, the cause of the target historical accident is determined to be: the target device operating temperature is too high, then "operating temperature is too high" is attributed to the target device abnormal operation feature set to generate the abnormal feature set.

[0071] Specifically, when the target historical accident is: the target equipment is damaged due to abnormal pressure, the cause of the target historical accident is determined to be: abnormal operating pressure of the target equipment, then "abnormal operating pressure" is attributed to the abnormal operating feature set of the target equipment to generate the abnormal feature set.

[0072] Specifically, when the target historical accident is: the target device is damaged due to excessively high vibration frequency, the cause of the target historical accident is determined to be: the vibration frequency of the target device is too high, then "excessively high vibration frequency" is attributed to the abnormal operation feature set of the target device to generate an abnormal feature set.

[0073] It should be noted that the operating temperature threshold, operating pressure threshold, and / or vibration frequency threshold of the target device can be determined based on the fault alarm data of the target device, based on infrared thermal imaging data analysis, vibration frequency analysis, and / or oil analysis, and the above-mentioned target device operating temperature threshold, operating pressure threshold, and / or vibration frequency threshold can be attributed to the abnormal operation feature set of the target device to generate an abnormal feature set.

[0074] Exemplarily, the target information may include: actual operation image information of the target person, and / or actual operation status information of the target device. The actual feature set may include: actual operation feature set, and / or actual operation feature set.

[0075] Exemplarily, the actual operation features of the target person may be determined by analyzing and extracting frame by frame based on the actual operation image information of the target person, and the actual operation features may be attributed to an actual operation feature set to generate an actual feature set.

[0076] Exemplarily, the actual operating characteristics of the target device can be determined based on the actual operating status information of the target device, based on infrared thermal imaging data analysis, vibration frequency analysis, and / or oil analysis, and the above-mentioned actual operating characteristics can be attributed to the actual operating feature set to generate the actual feature set.

[0077] It should be noted that, when the similarity between any feature in the actual operation feature set and any feature in the abnormal operation feature set is greater than or equal to the preset operation similarity threshold, the actual operation feature is determined to be the target feature. The preset operation similarity threshold is negatively correlated with the target enterprise's demand for safe generation, that is, the higher the target enterprise's demand for safe generation, the lower the preset operation similarity threshold.

[0078] Exemplarily, when the similarity between any feature in the actual operation feature set and any feature in the abnormal operation feature set is greater than or equal to a preset operation similarity threshold, the actual operation feature is determined to be a target feature. The preset operation similarity threshold is negatively correlated with the target enterprise's demand for safe generation, that is, the higher the target enterprise's demand for safe generation, the lower the preset operation similarity threshold.

[0079] Based on this, the above method is conducive to achieving personalized and accurate generation of abnormal feature sets based on the actual accident situations of the target enterprise; personalized and accurate generation of actual feature sets based on the actual operation information of the target enterprise; thereby improving the efficiency and accuracy of accurately checking target features based on actual feature sets and abnormal feature sets; and improving the matching degree between the target feature checking results and the actual situation of the target enterprise.

[0080] In some feasible implementations, the identification window size corresponding to the abnormal operation feature is less than or equal to a first preset size; and / or the identification window size corresponding to the abnormal operation feature is less than or equal to a second preset size.

[0081] It should be noted that the first preset size corresponds to the maximum size of the recognition window used to capture abnormal behavior of the target person during operation. The second preset size corresponds to the maximum size of the recognition window used to monitor abnormal operation of the target device.

[0082] Based on this, the above-mentioned method of limiting the identification window size corresponding to the abnormal operation feature to be less than or equal to the first preset size; and / or the identification window size corresponding to the abnormal operation feature to be less than or equal to the second preset size is conducive to improving the recognition accuracy of the abnormal operation feature, and / or the abnormal operation feature, thereby improving the generation efficiency and response efficiency of the target warning information, and then improving the safety warning efficiency.

[0083] In some feasible implementations, the above method further includes: correcting the second preset size according to life information of the target device.

[0084] For example, the service life information of the target device can be determined based on the maintenance record and / or fault record of the target device, and the remaining life information of the target device can be determined based on the rated service life information of the target device and the service life information of the target device. According to the remaining life of the target device, the second preset size is reduced. The second preset size is positively correlated with the remaining life of the target device, that is, the shorter the remaining life of the target device, the smaller the second preset size.

[0085] It should be noted that the second preset size may also be dynamically adjusted according to the actual operation curve of the target device.

[0086] Exemplarily, the actual operation curves may include: an actual operation power characteristic curve, an actual operation pressure characteristic curve, an actual operation temperature characteristic curve, and / or an actual vibration frequency characteristic curve.

[0087] Specifically, the second preset size is negatively correlated with the fluctuation value of the actual operating power characteristic curve, the actual operating pressure characteristic curve, the actual operating temperature characteristic curve, and / or the actual vibration frequency characteristic curve, that is, the larger the fluctuation value of the actual operating power characteristic curve, the actual operating pressure characteristic curve, the actual operating temperature characteristic curve, and / or the actual vibration frequency characteristic curve, the smaller the second preset size is.

[0088] Based on this, the above method can be realized by correcting the above second preset size based on the life information of the target device, which is conducive to improving the matching of the maximum value of the identification window size corresponding to the abnormal operation characteristics of the target device and the life information of the target device, so as to improve the adaptability of the maximum value of the identification window size corresponding to the abnormal operation characteristics of the target device and the actual life cycle of the target device. When the remaining life of the target device is short, the maximum value of the identification window size corresponding to the abnormal operation characteristics of the target device is reduced, so as to realize the refined and strict monitoring of the aging equipment, thereby further accurately preventing the safety accidents caused by the abnormal operation of the aging equipment.

[0089] In some feasible implementations, the above method also includes: determining the target danger level based on the risk value corresponding to each target feature, the category to which each target feature belongs, and the weight corresponding to the above category; determining the target receiving node set based on the target danger level; and sending target warning information based on the target receiving node set.

[0090] For example, the risk value corresponding to each target feature can be determined according to the accident level caused by the target feature and the abnormal feature with the highest similarity in the abnormal feature set. The risk value is positively correlated with the accident level, that is, the higher the accident level, the higher the risk value.

[0091] Exemplarily, the categories to which the target features belong may include: abnormal operation features, and / or abnormal running features. The categories to which the target features belong may also be customized, expanded, and set according to the actual needs of the target enterprise.

[0092] It should be noted that the weight corresponding to the category to which the above target feature belongs can be determined according to the type of the target enterprise and / or the type of the target device.

[0093] For example, when the target enterprise is a labor-intensive enterprise and the working environment involves more manual operations, the weight corresponding to the abnormal operation feature is higher. Specifically, for manufacturing assembly lines, medical surgeries, etc., the weight corresponding to the above abnormal operation features is higher.

[0094] For example, when the target equipment is critical infrastructure equipment, such as nuclear power plant equipment or large data center equipment, the weight corresponding to the above abnormal operation characteristics is relatively high.

[0095] Exemplarily, the target risk probability of causing a safety accident can be determined based on the risk value of each target feature, the category to which each target feature belongs, and the weight corresponding to the above-mentioned category. According to the above-mentioned target risk probability, the target danger level can be determined; according to the above-mentioned target danger level, the target receiving node set can be determined. Among them, the target danger level is positively correlated with the above-mentioned target risk probability, that is, the higher the value of the above-mentioned target risk probability, the higher the above-mentioned target danger level. The number of target receiving nodes included in the target receiving node set, and / or the functional level of the management personnel corresponding to the target receiving node are positively correlated with the target danger level, that is, the higher the target danger level, the more the number of target receiving nodes included in the target receiving node set, and / or the higher the functional level of the management personnel corresponding to the target receiving node. Among them, the target receiving node set corresponding to each target danger level can be set according to the actual needs of the target enterprise.

[0096] Specifically, the target risk probability can be determined according to the following formula: (1) in, The target risk probability ， For the target features, The target feature The risk value, The target feature Category, For the category The weight of .

[0097] Specifically, when the target danger level corresponding to the target risk probability is determined to be level three according to the above formula (1), it can be determined that the target receiving node set includes: the target operator corresponding to each abnormal operation feature, the direct supervisor corresponding to the target operator, and the head of the department to which the target operator belongs; and / or, the direct person in charge of the target equipment corresponding to each abnormal operation feature, the direct supervisor corresponding to the direct person in charge, the head of the department to which the direct person in charge belongs, etc., and the target warning information containing the target danger analysis report is sent to the target operator corresponding to each abnormal operation feature, the direct supervisor corresponding to the target operator, and the head of the department to which the target operator belongs; and / or, the direct person in charge of the target equipment corresponding to each abnormal operation feature, the direct supervisor corresponding to the direct person in charge, the head of the department to which the direct person in charge belongs, etc. The corresponding device terminal provides convenience for the person in charge of each node to rectify and investigate the abnormal features. Among them, the above-mentioned target hazard analysis report may include: each abnormal operation feature, and / or, dangerous accidents that each abnormal operation feature is expected to cause; abnormal operation features, and / or, the corresponding degree of danger of the abnormal operation features; abnormal operation features, and / or, the corresponding rectification strategies of the abnormal operation features; abnormal operation features, and / or, the corresponding risk types of the abnormal operation features; abnormal operation features, and / or, the corresponding risk values ​​of the abnormal operation features, each abnormal operation feature, and / or, each abnormal operation feature calculated target risk probability, etc.

[0098] Based on this, the above method can realize automatic and accurate determination of the target danger level according to the risk value corresponding to each target feature, the category to which each target feature belongs, and the weight corresponding to the category; according to the target danger level, automatically and accurately determine the target receiving node set; according to the target receiving node set, accurately and automatically control the sending of target warning information to the terminal devices belonging to the persons in charge of each node in the target receiving node set, so as to remind the node persons involved in each abnormal feature to conduct abnormal investigation and rectification in time, so as to improve the efficiency of eliminating the above abnormal features, thereby further ensuring safe production.

[0099] It should be noted that, for the aforementioned method embodiments, for the sake of simplicity, they are all expressed as a series of action combinations, but those skilled in the art should be aware that the present application is not limited by the described order of actions, because according to the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all optional embodiments, and the actions and modules involved are not necessarily required by the present application.

[0100] The above is an introduction to the method embodiment. The following is a further explanation of the scheme described in this application through an apparatus embodiment.

[0101] According to a second aspect of the embodiments of the present application, a safety warning device is provided. Figure 2 Schematic diagram of a safety warning device 200 provided in an embodiment of the present application. Figure 2 The device 200 shown includes: an acquisition unit 210 , a determination unit 220 and a generation unit 230 .

[0102] The acquisition unit 210 acquires target information and standard information, wherein the target information includes: actual operation information and / or actual operation information, and the standard information includes: operation standard information and / or standard operation information; The determination unit 220 determines target abnormal characteristics according to the target information and the standard information, wherein the target characteristics include: abnormal operation characteristics and / or abnormal operation characteristics; The generating unit 230 generates target warning information according to the target characteristics.

[0103] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the described method can refer to the corresponding process in the aforementioned system embodiment, and will not be repeated here.

[0104] Figure 3 FIG. 1 is a schematic diagram of a structure of an electronic device suitable for implementing the embodiment of the present application. Figure 3 As shown, the electronic device 300 includes a central processing unit (CPU) 301, which can perform various appropriate actions and processes according to the program stored in the read-only memory (ROM) 302 or the program loaded from the storage part 308 into the random access memory (RAM) 303. In the RAM 303, various programs and data required for the operation of the terminal device or the server are also stored. The CPU 301, the ROM 302, and the RAM 303 are connected to each other via a bus 304. An input / output (I / O) interface 305 is also connected to the bus 304.

[0105] The following components are connected to the I / O interface 305: an input section 306 including a keyboard, a mouse, etc.; an output section 307 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker, etc.; a storage section 308 including a hard disk, etc.; and a communication section 309 including a network interface card such as a LAN card, a modem, etc. The communication section 309 performs communication processing via a network such as the Internet. A drive 310 is also connected to the I / O interface 305 as needed. A removable medium 311, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 310 as needed, so that a computer program read therefrom is installed into the storage section 308 as needed.

[0106] In particular, according to an embodiment of the present application, the above method flow steps can be implemented as a computer software program. For example, an embodiment of the present application includes a computer program product, which includes a computer program carried on a machine-readable medium, and the computer program includes a program code for executing the method shown in the flow chart. In such an embodiment, the computer program can be downloaded and installed from the network through the communication part 309, and / or installed from the removable medium 311. When the computer program is executed by the central processing unit (CPU) 301, the above-mentioned functions defined in the system of the present application are executed.

[0107] It should be noted that the computer-readable medium described in the present application may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present application, a computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, device or device. In the present application, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, which carries a computer-readable program code. This propagated data signal may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. Computer-readable signal media may also be any computer-readable medium other than computer-readable storage media, which may send, propagate or transmit a program for use by or in conjunction with an instruction execution system, apparatus or device. The program code contained on the computer-readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, optical cable, RF, etc., or any suitable combination of the above.

[0108] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present application. In this regard, each box in the flow chart or block diagram can represent a module, a program segment or a part of the code, and the aforementioned module, program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flow chart, and the combination of the boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs the specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0109] The units or modules involved in the embodiments described in the present application may be implemented by software or hardware. The units or modules described may also be arranged in a processor. The names of these units or modules do not, in some cases, constitute limitations on the units or modules themselves.

[0110] The above description is only a preferred embodiment of the present application and an explanation of the technical principles used. Those skilled in the art should understand that the scope of application involved in the present application is not limited to the technical solution formed by a specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the aforementioned application concept. For example, the above features are replaced with (but not limited to) technical features with similar functions applied in the present application.

Claims

1. A safety early warning method, characterized in that: include: Acquire target information and standard information, wherein the target information includes: actual operation information and / or actual operation information, and the standard information includes: operation standard information and / or standard operation information; Determining target abnormal characteristics according to the target information and the standard information, wherein the target characteristics include: abnormal operation characteristics and / or abnormal operation characteristics; According to the target characteristics, target warning information is generated.

2. The safety warning method according to claim 1, characterized in that: Determining target abnormal characteristics according to the target information and the standard information includes: determining actual operation characteristics according to the actual operation information; Determining operation standard characteristics based on the standard information; When the similarity between the actual operation feature and the operation standard feature is less than or equal to a preset similarity, the actual operation feature is determined to be the abnormal operation feature.

3. The safety warning method according to claim 2, characterized in that: Also includes: Determining a necessary operation feature set according to the operation standard information; Determining an actual operation feature set according to the actual operation information; When it is determined that the actual operation feature set lacks any feature in the necessary operation feature set, the target warning information is generated.

4. The safety warning method according to claim 3, characterized in that: Determining target abnormal characteristics according to the target information and the standard information includes: determining actual operation characteristics according to the actual operation information; determining standard operation characteristics according to the standard operation information; When the difference between the actual operation feature and the standard operation feature is greater than or equal to a preset difference, the actual operation feature is determined to be the abnormal operation feature.

5. The safety warning method according to any one of claims 1 to 4, characterized in that: Also includes: Obtain historical accident data; generating an abnormal feature set according to the historical accident data; generating an actual feature set according to the target information; The target feature is determined according to the actual feature set and the abnormal feature set.

6. The safety warning method according to claim 5, characterized in that: The identification window size corresponding to the abnormal operation feature is less than or equal to a first preset size; and / or, The identification window size corresponding to the abnormal operation feature is smaller than or equal to a second preset size.

7. The safety early warning method according to claim 6, characterized in that: The method further comprises: The second preset size is modified according to the life information of the target device.

8. The safety warning method according to claim 7, characterized in that: Also includes: Determine the target risk level according to the risk value corresponding to each of the target features, the category to which each of the target features belongs, and the weight corresponding to the category; Determine the target receiving node set according to the target danger level; The target early warning information is sent according to the target receiving node set.

9. A safety warning device, characterized in that: include: An acquisition unit, which acquires target information and standard information, wherein the target information includes: actual operation information and / or actual operation information, and the standard information includes: operation standard information and / or standard operation information; A determination unit, which determines target abnormality characteristics according to the target information and the standard information, wherein the target characteristics include: abnormal operation characteristics and / or abnormal operation characteristics; A generating unit generates target warning information according to the target characteristics.

10. An electronic device, characterized in that: include: A processor and a memory, wherein the memory stores computer program instructions, and the computer program instructions are used by the processor to execute the safety warning method according to any one of claims 1 to 8 when the processor is running.

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