An industrial field safety diagnosis method and platform

Abstract

The present application relates to a kind of industrial field safety diagnosis method and platform, method includes: drawing industrial field 3D isomorphic model;Safety-related subsystem and safety-related information acquisition of associated equipment are monitored;According to monitoring information, the safety state diagnosis of each target item in industrial field is carried out;Target item includes: the behavior of people, the state of things, environmental factors and the execution of management;When safety diagnosis result indicates that there is unsafe target item, the position of unsafe area is determined according to unsafe target item;The position of unsafe area is visualized in industrial field 3D isomorphic model and is displayed.The present application carries out real-time diagnosis according to the monitoring information collected to each target item in industrial field, and the position of unsafe area obtained is visualized in industrial field 3D isomorphic model and is displayed, through visual display, guide shift personnel to quickly locate and view field situation, help shift personnel to exclude unsafe state as soon as possible.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of industrial site safety diagnosis, in particular to an industrial site safety diagnosis method and platform. BACKGROUND

[0002] Safety production is the first priority of all enterprise development. For industrial sites, it involves many types of hazards, wide distribution, and is difficult to control, and is the main place where safety accidents occur. In recent years, through continuous safety risk identification of the site from four aspects of people, things, environment, and management, a series of preventive measures are taken, and management is continuously strengthened, and the safety awareness of operating personnel is improved. From entry education, project briefing, process inspection to acceptance, there are strict safety management systems.

[0003] In order to ensure the safety of industrial sites, enterprises basically configure fire fighting systems, perimeter security systems, video monitoring systems, access control systems, and positioning systems, etc. However, each system is independent, and its monitoring room may be distributed in the guard, fire department, central control room, etc. or several places, and it is necessary to configure relevant duty personnel to work in shifts for 24 hours, which requires a large amount of human resources, and the personnel themselves have high quality requirements, and cannot quickly eliminate unsafe states, and the safety factor of industrial sites is low, and the personal safety and work safety of workers cannot be guaranteed. SUMMARY

[0004] The purpose of the present application is to provide an industrial site safety diagnosis method and platform, which can quickly eliminate unsafe states, thereby greatly improving the safety factor of industrial sites and guaranteeing the personal safety and work safety of workers.

[0005] To achieve the above purpose, the present application provides the following scheme:

[0006] An industrial site safety diagnosis method, comprising:

[0007] drawing an industrial site 3D equal ratio model;

[0008] obtaining monitoring information collected by safety-related subsystems and safety-related Internet of Things devices; the safety-related subsystems include fire fighting systems, positioning systems, perimeter systems, monitoring systems, access control systems, and broadcasting systems; the safety-related Internet of Things devices include liquid level meters, pressure sensing devices, environmental monitoring instruments, and epidemic prevention monitoring devices;

[0009] diagnosing the safety state of each target item in the industrial site according to the monitoring information to obtain a safety diagnosis result; the target items include human behavior, object state, environmental factors, and management execution conditions;

[0010] When the safety diagnosis result indicates that there is a non-safe target item, a position of a non-safe area is determined according to the non-safe target item;

[0011] The position of the non-safe area is visually displayed in the 3D equal ratio model of the industrial site.

[0012] Optionally, the safety state diagnosis of each target item in the industrial site according to the monitoring information to obtain a safety diagnosis result specifically includes:

[0013] The safety state diagnosis of each target item in the industrial site according to the monitoring information to obtain a safety diagnosis result is performed by using a signal combination alarm method, and the signal combination alarm method specifically includes: combining a plurality of monitoring information corresponding to any target item to obtain combined monitoring information, and performing safety state diagnosis on the any target item according to the combined monitoring information to obtain a safety diagnosis result; the monitoring information includes operation state information of the safety-related subsystem and the safety-related Internet of Things device.

[0014] Optionally, the safety state diagnosis of each target item in the industrial site according to the monitoring information to obtain a safety diagnosis result specifically includes:

[0015] The safety state diagnosis of each target item in the industrial site according to the monitoring information to obtain a safety diagnosis result is performed by using an AI intelligent identification method, and the AI intelligent identification method specifically includes: decomposing a real-time video of the industrial site collected into a plurality of images; and performing safety state diagnosis on each target item in the industrial site according to the images by using an AI algorithm to obtain a safety diagnosis result.

[0016] Optionally, the safety state diagnosis of each target item in the industrial site according to the monitoring information to obtain a safety diagnosis result specifically includes:

[0017] The safety state diagnosis of each target item in the industrial site according to the monitoring information to obtain a safety diagnosis result is performed by using a process control method, and the process control method specifically includes: controlling a work task process and a safety task process.

[0018] The control of the work task process specifically includes:

[0019] Determination of work information, the work information including work name, work location, work time, work unit, and work attention item content.

[0020] According to the operation information, operation data, access permission of the operation personnel, safety equipment and operation regulation action data are obtained, the operation data includes operation unit qualification, operation personnel data and operation safety education record, and the operation regulation action data includes image, text or voice of operation regulation action;

[0021] It is judged whether the operation personnel has access permission, and a first judgment result is obtained;

[0022] If the first judgment result is no, the behavior of the operation personnel is diagnosed as a non-safe state, and an alarm is generated;

[0023] It is judged whether an operation task end instruction is received, and a second judgment result is obtained;

[0024] If the second judgment result is yes, it is judged whether an operation action data complete instruction uploaded by the current operation personnel is received, and a third judgment result is obtained;

[0025] If the third judgment result is yes, the access permission of the non-operation personnel is released;

[0026] If the third judgment result is no, the current operation personnel continues to upload operation action data, and returns to the step of judging whether an operation action data complete instruction uploaded by the current operation personnel is received;

[0027] The safety task flow is controlled, and specifically includes:

[0028] Safety task information is set, and the safety task information includes a task period, a task content, a task location and safety equipment to be carried;

[0029] The safety task information is sent to the current operation personnel;

[0030] Safety task regulation action data uploaded by the current operation personnel is obtained, the safety task regulation action data is an action performed by the current operation personnel according to the safety task information, and the safety task regulation action data includes image, text or voice of safety task regulation action;

[0031] Each target item in the safety task regulation action data uploaded by the current operation personnel is diagnosed in a safe state, and when there is a non-safe target item or a safety task is not executed, it is diagnosed as a non-safe state.

[0032] Optionally, the position of the non-safe area is determined according to the non-safe target item, and specifically includes:

[0033] According to the monitoring information corresponding to the non-safe target item, an influence point or an influence surface of the non-safe target item is determined.

[0034] Optionally, when the safety diagnosis result indicates that there is a non-safe target item, the method further comprises:

[0035] diagnosing an alarm; the diagnosing an alarm specifically includes displaying the impact point or impact surface of the non-safe target item in the 3D isometric model of the industrial site.

[0036] Optionally, the method further comprises:

[0037] determining the authenticity of the safety diagnosis result by using a diagnosis tracing method;

[0038] The diagnosis tracing method specifically includes:

[0039] acquiring non-safe historical data corresponding to the non-safe target item in the safety diagnosis result; the non-safe historical data is monitoring data corresponding to the non-safe target item in historical data;

[0040] comparing the monitoring information corresponding to the non-safe target item with the non-safe historical data to obtain a comparison result;

[0041] judging the authenticity of the safety diagnosis result according to the comparison result; if the monitoring information corresponding to the non-safe target item matches the non-safe historical data, the safety diagnosis result is true.

[0042] Optionally,

[0043] after determining the position of the non-safe area, further comprising: tracing and confirming the alarm information by using the monitoring information corresponding to the non-safe target item and the camera in linkage.

[0044] Optionally, the method further comprises:

[0045] generating a diagnosis report; the diagnosis report includes the frequency of the diagnosing an alarm, the time when the diagnosing an alarm occurs, a statistical analysis chart file, the actual safety management situation of the industrial site, and a weak item of safety management.

[0046] An industrial site safety diagnosis platform for implementing the industrial site safety diagnosis method described above, comprising: a perception layer, a network layer, a safety diagnosis layer, an application display layer, and a data center; the perception layer, the network layer, the safety diagnosis layer, and the application display layer are all connected with the data center.

[0047] The perception layer comprises a safety-related subsystem and a safety-related Internet of Things (IoT) device, and is configured to collect monitoring information of the industrial site; the safety-related subsystem comprises a fire-fighting system, a positioning system, a perimeter system, a monitoring system, an access control system and a broadcasting system; the safety-related IoT device comprises a liquid level meter, a pressure sensing device, an environmental monitoring instrument and an epidemic prevention monitoring device.

[0048] The network layer comprises an IoT and an Internet; the IoT is configured to link the safety-related subsystem and the safety-related IoT device, and the Internet is configured to transmit the monitoring information to the safety diagnosis layer.

[0049] The safety diagnosis layer is configured to diagnose a safety state of each target item in the industrial site according to the monitoring information, and obtain a safety diagnosis result; the target item comprises a human behavior, a state of an object, an environmental factor and an execution of management.

[0050] The application display layer is configured to determine a position of a non-safety area according to the non-safety target item when the safety diagnosis result indicates that there is a non-safety target item, and visually display the position of the non-safety area in the 3D isometric model of the industrial site.

[0051] According to the embodiments of the present application, the following technical effects are achieved: the present application provides an industrial site safety diagnosis method and platform, the method comprising: drawing a 3D isometric model of an industrial site; obtaining monitoring information collected by a safety-related subsystem and a safety-related IoT device; the safety-related subsystem comprises a fire-fighting system, a positioning system, a perimeter system, a monitoring system, an access control system and a broadcasting system; the safety-related IoT device comprises a liquid level meter, a pressure sensing device, an environmental monitoring instrument and an epidemic prevention monitoring device; diagnosing a safety state of each target item in the industrial site according to the monitoring information, and obtaining a safety diagnosis result; the target item comprises a human behavior, a state of an object, an environmental factor and an execution of management; determining a position of a non-safety area according to the non-safety target item when the safety diagnosis result indicates that there is a non-safety target item; and visually displaying the position of the non-safety area in the 3D isometric model of the industrial site. According to the monitoring information collected by the safety-related subsystem and the safety-related IoT device, the present application diagnoses each target item in the industrial site in real time, thereby determining the position of the non-safety area, and visually displaying the position of the non-safety area in the 3D isometric model of the industrial site. Through the visual display, a duty officer can quickly locate and view the site, help the duty officer to quickly eliminate the non-safety state, thereby greatly improving the safety factor of the industrial site, and protecting the personal safety and work safety of the staff. BRIEF DESCRIPTION OF DRAWINGS

[0052] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the accompanying drawings needed to be used in the embodiments will be briefly introduced as follows. Obviously, the accompanying drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can also be obtained from these drawings without any creative effort.

[0053] Figure 1 The industrial field safety diagnosis method flowchart provided for the embodiment 1 of the present application is shown in the figure.

[0054] Figure 2 The industrial field safety diagnosis platform structure diagram provided for the embodiment 2 of the present application is shown in the figure.

[0055] Figure 3 The sensing layer Internet of Things equipment state access diagram in the embodiment 2 of the present application is shown in the figure.

[0056] Figure 4 The unsafe behavior diagnosis method diagram of the human in the embodiment 2 of the present application is shown in the figure.

[0057] Figure 5 The unsafe state diagnosis method diagram of the object in the embodiment 2 of the present application is shown in the figure.

[0058] Figure 6 The unsafe factor diagnosis method diagram of the environment in the embodiment 2 of the present application is shown in the figure.

[0059] Figure 7 The ineffective management execution diagnosis method diagram in the embodiment 2 of the present application is shown in the figure.

[0060] Figure 8 The diagnosis flowchart of the industrial field safety diagnosis platform in the embodiment 2 of the present application is shown in the figure.

[0061] The application shows a layer 1, a 3D isometric real-time diagnosis positioning module 1-1, a diagnosis alarm module 1-2, a preplan pushing module 1-3, a diagnosis tracing module 1-4, a diagnosis report module 1-5, a task management module 1-6, a diagnosis configuration module 1-7, a safety diagnosis layer 2, a human behavior 2-1, a state of things 2-2, environmental factors 2-3, and an execution of management 2-4, a signal combination alarm method 2-5, an AI intelligent identification method 2-6, a process control method 2-7, unqualified personnel wearing operation equipment 2-1-1, abnormal personnel posture 2-1-2, personnel entering an unauthorized area 2-1-3, personnel not carrying necessary safety tools 2-1-4, safety-related Internet of Things equipment offline 2-2-1, safety-related Internet of Things equipment failure 2-2-2, safety tool loss 2-2-3, special vehicle on site 2-2-4, special equipment not used in a standard way 2-2-5, safety tool out of limit 2-2-6, dangerous gas enrichment 2-3-1, environment temperature and humidity not up to standard 2-3-2, air quality not up to standard 2-3-3, fire hazard 2-3-4, unknown intrusion hazard 2-3-5, safety task not executed in time 2-4-1, safety hazard not rectified in time 2-4-2, safety education not in place 2-4-3, operation data not in a standard way 2-4-4, inspection work not in place 2-4-5, personnel qualification not in compliance 2-4-6, network layer 3, Internet of Things 3-1, Internet 3-2, perception layer 4, safety-related Internet of Things equipment 4-7, intelligent gateway 4-8, data center 5, data service module 5-1, data storage module 5-2. DETAILED DESCRIPTION

[0062] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.

[0063] The purpose of the present application is to provide an industrial site safety diagnosis method and platform, which can quickly eliminate unsafe states, thereby greatly improving the safety factor of the industrial site and protecting the personal safety and operation safety of workers.

[0064] In order to make the above-mentioned purposes, characteristics and advantages of the present application more apparent and easy to understand, the present application will be further described in detail below with reference to the drawings and specific embodiments.

[0065] Embodiment 1

[0066] An industrial site safety diagnosis method, referring to Figure 1 , comprising:

[0067] Step S1: Draw a 3D equal ratio model of the industrial site. Use 3D software to scale the industrial site by equal ratio.

[0068] Step S2: Obtain monitoring information collected by safety-related subsystems and safety-related Internet of Things devices; the safety-related subsystems include a fire fighting system, a positioning system, a perimeter system, a monitoring system, an access control system, and a broadcast system; the safety-related Internet of Things devices include a liquid level meter, a pressure sensing device, an environmental monitoring instrument, and an epidemic prevention monitoring device, specifically:

[0069] The monitoring information collected by the fire fighting system includes a smoke sensor state signal, a smoke sensing signal, and a fire alarm signal. The monitoring information collected by the positioning system includes a positioning base station state signal and personnel positioning information signal. The monitoring information collected by the perimeter system includes a base station state signal, a short circuit signal, and a touch net alarm signal. The monitoring information collected by the monitoring system includes a monitoring camera state signal and real-time video stream. The monitoring information collected by the access control system includes a card swiping device state signal and personnel card swiping information. The monitoring information collected by the broadcast system includes a broadcast device state signal. Broadcast information can be output to the broadcast system, and when the safety diagnosis result has a non-safe target item, safety is the first priority, and the industrial site operator is notified in time to perform related operations.

[0070] The safety-related Internet of Things devices include liquid level monitoring related devices for monitoring overflow, pressure sensing devices for monitoring burst pipes, temperature and humidity devices for monitoring equipment operating environment, toxic gas, flammable and explosive gas, air particulate matter, illumination, noise related devices for monitoring personnel activity environment, and epidemic prevention devices for monitoring whether the epidemic prevention meets enterprise standards.

[0071] Step S3: Diagnose the safety state of each target item in the industrial site according to the monitoring information to obtain a safety diagnosis result; the target items include human behavior, object state, environmental factors, and management execution.

[0072] Among them, the signal combination alarm method, AI intelligent recognition method and process control method can be used to diagnose the safety state of each target item in the industrial site, specifically:

[0073] (1) A signal combination alarm method is used to diagnose the safety state of each target item in the industrial field according to monitoring information, and a safety diagnosis result is obtained, wherein the monitoring information includes the running state information of safety-related Internet of Things devices and safety-related subsystems. The signal combination alarm method specifically includes: combining a plurality of monitoring information corresponding to any target item to obtain combined monitoring information, and diagnosing the safety state of any target item according to the combined monitoring information to obtain a safety diagnosis result. Specifically, a target item can correspond to one monitoring information or a plurality of monitoring information, and a mathematical rule for diagnosis can be set for the monitoring information corresponding to the target item, thereby performing safety state diagnosis.

[0074] In this embodiment, it is also necessary to diagnose the running state of safety-related Internet of Things devices and safety-related subsystems in real time, and the running state includes: online state / offline state, running state / stop state, normal state / fault state, and the device offline state or fault state is a non-safe state. For safety-related Internet of Things devices without online / offline and normal / fault signals, safety-related Internet of Things device data is connected to an intelligent gateway, and self-owned code for judging whether the trend of different types of signals is abnormal is filled in the gateway, thereby assisting in judging whether the safety-related Internet of Things device is online.

[0075] (2) An AI intelligent recognition method is used to diagnose the safety state of each target item in the industrial field according to monitoring information, and a safety diagnosis result is obtained, wherein the AI intelligent recognition method specifically includes: decomposing the collected real-time video of the industrial field into a plurality of images; and diagnosing the safety state of each target item in the industrial field according to the images using an AI algorithm to obtain a safety diagnosis result.

[0076] (3) A process control method is used to diagnose the safety state of each target item in the industrial field according to monitoring information, and a safety diagnosis result is obtained, wherein the process control method specifically includes: controlling the operation task process and the safety task process.

[0077] Specifically, the operation task process is controlled, which specifically includes:

[0078] determining operation information, wherein the operation information includes operation name, operation location, operation time, operation unit, and operation attention item content;

[0079] According to the operation information, operation materials are obtained, operation personnel access permissions are confirmed, safety equipment is configured, and operation regulation action materials are obtained, wherein the operation materials include operation unit qualification, operation personnel materials, and operation safety education records; and the operation regulation action materials include images, texts, or voices of operation regulation actions;

[0080] determining whether the operation personnel has access permission to obtain a first determination result;

[0081] If the first determination result is no, the behavior of the worker is diagnosed as a non-safe state, and an alarm is generated;

[0082] It is determined whether an instruction for ending the work task is received, and a second determination result is obtained;

[0083] If the second determination result is yes, it is determined whether an instruction for uploading complete work action data by the current worker is received, and a third determination result is obtained;

[0084] If the third determination result is yes, the access permission restriction of the non-worker is released;

[0085] If the third determination result is no, the current worker continues to upload work action data, and returns to the step of determining whether an instruction for uploading complete work action data by the current worker is received. The specific implementation process of controlling the work task flow is as follows:

[0086] During the work planning, work information is filled in, and complete data is uploaded; during the work auditing, according to the work information, it is confirmed that the work data is complete, a virtual work space configuration permission (only the worker can access the work site) is drawn, necessary safety tools to be carried and worn are configured, and a work process checking mechanism is configured. During the work, the work space permission of the worker is confirmed through AI intelligent identification and positioning information, and during the work, if a person without work space permission enters, it is diagnosed as a non-safe state, and an alarm is generated; when the work starts, the worker's handheld terminal scans NFC to determine the work site and the work safety tools to be carried; during the work, images, texts or voices of the specified actions are uploaded; during the work, the specified personnel at each level check the process according to the same permission control and record requirements; when the work is completed, the work is confirmed to be completed after the specified actions are confirmed to be completely executed and the data is complete, and then the virtual work control permission control is cancelled (that is, the access permission restriction of the non-worker is released, and when the non-worker enters, it will not be diagnosed as a non-safe state).

[0087] The safety task flow is controlled, specifically including:

[0088] Setting safety task information; the safety task information includes task period, task content, task site, and safety tools to be carried;

[0089] The safety task information is sent to the current worker;

[0090] Obtaining the safety task action data uploaded by the current worker, the safety task action data being the action performed by the current worker according to the safety task information, and the safety task action data including images, texts or voices of the safety task action;

[0091] Diagnosing the safety state of each target item in the safety task action data uploaded by the current worker, and diagnosing as a non-safety state when there is a non-safety target item or a safety task is not performed.

[0092] When the safety task is planned, the safety task information is determined; when the safety task is performed, the worker's handheld terminal scans the NFC to determine the work site and the complete carrying of the work safety appliance; during the safety task, the images, texts or voices of the safety task action are uploaded, and the state of the target item involved in the safety task is judged. The safety task is not performed in time or the safety check content is found to be abnormal during the performance, and both are diagnosed as a non-safety state of the target item.

[0093] When the process control is performed, the characteristics of the NFC short-distance communication are applied to ensure that the specified personnel use the specified tools to complete the specified work at the specified site, and each step is monitored and diagnosed in real time. Compared with the previous safety management process of oral education, paper specification and on-site execution, the safety guarantee degree is stronger.

[0094] In the embodiment, the target items are as follows:

[0095] The behaviors of the person include whether the worker wears the work equipment, whether the worker's posture is abnormal, whether the worker enters an unauthorized area, and whether the worker carries the necessary safety protection appliance.

[0096] The state of the object includes whether the safety-related Internet of Things device is offline, whether the safety-related Internet of Things device is faulty, whether the safety appliance at the specified position is missing, whether the special vehicle enters the site, whether the special equipment is used in a standard manner, and whether the safety appliance is used beyond the limit. The state of the front-end device itself is taken as a target item, and when the device itself is abnormal, the monitoring result is not reliable. Through the monitoring of the state of the device itself, the stability is stronger, and the diagnosis result is more reliable.

[0097] The environmental factors include whether the dangerous gas is sufficient, whether the industrial site work environment temperature and humidity and air quality meet the standards, whether the fire-fighting system monitors fire hazards, and whether the perimeter system monitors unknown intrusion hazards.

[0098] The execution of the management includes whether the safety task is performed in time, whether the safety hazards are rectified in time, whether the safety education is in place, whether the work data is standardized, whether the inspection work is in place, and whether the personnel qualification is standardized.

[0099] Step S4: When the safety diagnosis result indicates that there is a non-safe target item, the position of a non-safe area is determined according to the non-safe target item, specifically, the impact point or impact surface of the non-safe target item is determined according to the monitoring information corresponding to the non-safe target item, and 3D isometric real-time diagnosis positioning is realized.

[0100] For example, the impact surface refers to when a target item is in a non-safe state, the associated area will be in a non-safe state, for example, when the monitoring of hydrogen sulfide hazardous gas exceeds the standard, the current area is in a non-safe state; the impact point refers to when a target item is in a non-safe state, the surrounding area will not be in a non-safe state, for example, the monitoring of the number of fire extinguishers in the fire cabinet is insufficient.

[0101] When the safety diagnosis result indicates that there is a non-safe target item, the method of the embodiment further includes diagnosis alarm; the diagnosis alarm specifically includes displaying the impact point or impact surface of the non-safe target item in the 3D isometric model of the industrial site. Wherein, the display is color changing in the 3D isometric model of the industrial site to remind, and the diagnosis time and diagnosis content are recorded.

[0102] When the diagnosis alarm is made, the method of the embodiment further includes preplan pushing, pushing the non-safe state exclusion scheme of the current target item, and the scheme is recorded when the diagnosis configuration is made.

[0103] The method further includes determining the authenticity of the safety diagnosis result by using a diagnosis tracing method.

[0104] The diagnosis tracing method specifically includes:

[0105] The non-safe historical data corresponding to the non-safe target item in the safety diagnosis result is obtained; the non-safe historical data is the monitoring data corresponding to the non-safe target item in the historical data, and the text, image, video and audio data associated with the diagnosis alarm that has occurred are viewed, so as to facilitate the on-duty personnel to confirm whether the diagnosis alarm is a real alarm.

[0106] The monitoring information corresponding to the non-safe target item is compared with the non-safe historical data to obtain a comparison result.

[0107] The authenticity of the safety diagnosis result is judged according to the comparison result, if the monitoring information corresponding to the non-safe target item matches the non-safe historical data, the safety diagnosis result is true.

[0108] The method further comprises: performing statistical analysis on all alarms in the field in a period of time to generate a diagnosis report; and the diagnosis report comprises frequency of target item diagnosis alarm, time statistical analysis chart file of diagnosis alarm occurrence, reaction to actual safety management of the industrial field, and found weak items of safety management.

[0109] Meanwhile, the method of the embodiment further comprises task management and diagnosis configuration, the task management refers to managing work orders and safety tasks, and strictly configuring target item content in each step of the task execution process. The work order refers to performing construction work in the field, which may involve climbing, confined spaces, using special equipment, etc., and is relatively dangerous, and safety monitoring of the work process is the key to ensuring safety of the industrial field. The safety task refers to dividing the inspection item content in the professional agency safety evaluation procedure into different period safety tasks according to levels, and completing the same safety inspection by the field staff, dispersing the annual concentrated inspection and rectification work to the whole year, improving the frequency of the inspection and rectification work, and is the most effective execution of the safety management system.

[0110] The diagnosis configuration refers to configuring target item content, diagnosis logic, influence surface or influence point; and configuring target item content involved in the work order and safety task.

[0111] Step S5: visualizing the position of the non-safety area in the 3D isometric model of the industrial field, specifically by changing the bottom color of the influence point or influence surface to a red color with a transparency of 25%.

[0112] The work management system flow specification method inserts multiple target items according to work requirements; then the target items are associated with the 3D field drawn in the isometric field one by one, to realize real-time online safety diagnosis of the field in all directions of people, objects, environment and management. When a non-safety target item is diagnosed, the specific position of the non-safety target item is located through the 3D isometric field, after the position of the non-safety area is determined, the alarm information is traced and confirmed through the corresponding monitoring information of the linked camera and the non-safety target item, and the corresponding processing plan is pushed, to assist the on-duty personnel to quickly eliminate the non-safety state of the target item, ensure safety of the field, and finally form a safety diagnosis report, to assist the safety officer to find safety improvement and upgrading content of the industrial field, and continuously improve the safety coefficient of the industrial field.

[0113] Embodiment 2

[0114] The application provides an industrial field safety diagnosis platform, referring to Figure 2, including: a perception layer 4, a network layer 3, a security diagnosis layer 2, an application display layer 1, and a data center 5; the perception layer 4, the network layer 3, the security diagnosis layer 2, and the application display layer 1 are connected with the data center 5. The data center includes a data service module 5-1 and a data storage module 5-2.

[0115] The perception layer 4 includes a safety-related subsystem and a safety-related IOT device, and is used to collect monitoring information of an industrial site; the safety-related subsystem includes a fire-fighting system, a positioning system, a perimeter system, a monitoring system, an access control system, and a broadcasting system; the safety-related IOT device includes a liquid level meter, a pressure sensing device, an environmental monitoring instrument, and an epidemic prevention monitoring device, etc.

[0116] As shown in Figure 3 The perception layer safety-related IOT device 4-7 is connected to the data center through an intelligent gateway 4-8. The intelligent gateway 4-8 is configured with different python executable programs for judging the state of the safety-related IOT device 4-7 itself.

[0117] The safety-related IOT device 4-7 is divided into network access and communication line access according to the communication carrier.

[0118] (a) The network access safety-related IOT device 4-7 is configured with a network connectivity detection python executable program to judge whether the network is connected. When the network is interrupted, it is determined that the IOT device is in an abnormal running state.

[0119] (b) The communication line access IOT device (switching value) is configured with a device power supply condition detection python executable program to judge whether the device power supply current and voltage value are within the normal range. When the current and voltage value is 0 or exceeds the normal range, it is determined that the IOT device is in an abnormal running state. The normal range of voltage is divided into 24v, 220v, and 380v according to the power supply condition of the IOT device itself.

[0120] The communication line access IOT device (analog quantity) is configured with a device power supply condition detection python executable program and a data change detection python executable program. The device power supply condition detection python executable program judges whether the device power supply current and voltage value are within the normal range. When the current and voltage value is 0 or exceeds the normal range, it is determined that the IOT device is in an abnormal running state. The normal range of voltage is divided into 24v, 220v, and 380v according to the power supply condition of the IOT device itself. The data change detection python executable program judges whether the data change frequency meets the configuration requirements. If it does not meet the configuration frequency, it is determined that the IOT device is in an abnormal state. The data zero (or NULL value) frequency judges whether the IOT data transmission data is frequently lost. If the loss frequency reaches the set threshold, it is determined that the safety-related IOT device is in an abnormal running state.

[0121] Network layer 3 includes Internet of Things 3-1 and Internet 3-2; the Internet of Things 3-1 is used for linking the safety-related subsystem and the safety-related Internet of Things device, and the Internet 3-2 is used for sending the monitoring information to the safety diagnosis layer.

[0122] The safety diagnosis layer 2 is used for safety state diagnosis of each target item in the industrial site according to the monitoring information, and safety diagnosis results are obtained; the target items include human behavior 2-1, object state 2-2, environmental factors 2-3, and management execution 2-4. The diagnosis methods used include signal combination alarm method 2-5, AI intelligent recognition method 2-6, and process control method 2-7.

[0123] The application display layer 1 is used for determining the location of the non-safe area according to the non-safe target item when the safety diagnosis result indicates that there is a non-safe target item; and visualizing the location of the non-safe area in the industrial site 3D scale model. The application display layer 1 specifically includes 3D scale site real-time diagnosis positioning module 1-1, diagnosis alarm module 1-2, preplan pushing module 1-3, diagnosis tracing module 1-4, diagnosis report module 1-5, task management module 1-6, and diagnosis configuration module 1-7.

[0124] As shown in Figure 8 , the data center 5 is deployed on the database server; the application display layer 1 and the safety diagnosis layer 2 are deployed on the platform server; the AI intelligent recognition 2-6 is deployed on the AI algorithm server, and one or more AI algorithm servers can be selected to provide real-time AI intelligent recognition service according to the algorithm model quantity and the number of monitoring cameras.

[0125] Through the diagnosis configuration module 1-7, the diagnosis correlation data and diagnosis rules of each safety monitoring item, the influence area or influence point, and the non-safe state exclusion preplan are configured. After the configuration is completed, the safety diagnosis layer 2 diagnoses all target items in real time, and when a non-safe target item is diagnosed, the 3D scale site real-time diagnosis is formed and the diagnosis alarm is stored in the data storage module 5-2 of the data center 5. At the same time, according to the target item non-safe state exclusion preplan of the preplan pushing module 1-3 and the diagnosis configuration module 1-7, the on-duty personnel is guided to exclude the non-safe state of the target item according to the steps.

[0126] The specific implementation of the diagnosis configuration and diagnosis of each safety monitoring item is shown in the following example of each safety diagnosis item in the safety diagnosis layer 2. The diagnosis method of the non-safe target item is shown in Figure 4 、 5 , 6, 7, Figure 4 is a non-safe human behavior diagnosis method schematic diagram, Figure 5A schematic diagram of an unsafe state diagnosis method for an object, Figure 6 A schematic diagram of an unsafe factor diagnosis method for an environment, Figure 7 A schematic diagram of an ineffective execution diagnosis method for management.

[0127] (1) The unsafe behavior of a person is divided into: 2-1-1 personnel wearing operation equipment not qualified, 2-1-2 personnel posture abnormal, 2-1-3 personnel entering an unauthorized area, and 2-1-4 personnel not carrying necessary safety protection devices.

[0128] 2-1-1 personnel wearing operation equipment not qualified refers to personnel not wearing safety helmets, protective clothing, protective gloves, goggles, work clothes, safety boots, etc. one or more protective equipment when entering a designated area or designated operation. In the diagnosis configuration, determine the content of the protection required in each area, and configure the corresponding AI intelligent recognition algorithm for the monitoring camera head entering the area. The designated operation is configured in the task configuration module 1-6. The operation area and protection requirements are configured when the operation task is configured. After the configuration is completed, the AI intelligent recognition 2-6 monitors the designated area monitoring camera in real time, and identifies the operation equipment wearing state when it is monitored that someone enters the area. If it is completely worn according to the configuration requirements, it is judged as a safe state, otherwise it is diagnosed as an unsafe state. The AI intelligent recognition 2-6 of the designated operation needs to monitor and identify in real time after starting the operation.

[0129] 2-1-2 personnel posture abnormal refers to personnel not being allowed to make a cell phone, smoke, etc. behavior when entering a designated area; personnel climbing in an inappropriate area; personnel showing abnormal behavior of falling down. In the diagnosis configuration module, configure the corresponding AI intelligent recognition 2-6 algorithm for each monitoring camera in the area that needs to be monitored. After the configuration is completed, the AI intelligent recognition 2-6 monitors the configuration camera video image in real time, and diagnoses as an unsafe state when it is identified that the related personnel posture exists abnormally.

[0130] 2-1-3 Personnel enters an unauthorized area, which refers to an open area other than the access control area, and only personnel with certain qualifications or corresponding levels can enter. When configuring the diagnosis, draw a virtual space on the 3D isometric field visualization interface, and configure the information of personnel who can enter. After the configuration is completed, the signal combination alarm 2-5 monitors the real-time personnel positioning information in the field. When someone enters the virtual permission area, it is determined whether the personnel have permission. If they do not have permission, it is diagnosed as a non-safe state. At the same time, in order to prevent personnel from entering without carrying a positioning card, the AI intelligent identification 2-6 identifies the video images of the monitoring cameras in the monitoring area in real time. When a person is identified and there is no positioning information in the current area, it is diagnosed as a non-safe state. The task configuration can also configure temporary permission areas, which are cancelled after the task is completed. The diagnosis configuration of the virtual permission area is valid for a long time and is not cancelled after the task is completed. It can be added, deleted, modified, enabled, and disabled according to the time and field requirements.

[0131] 2-1-4 Personnel do not carry necessary safety protection tools, which refers to personnel not carrying safety ropes, portable toxic gas detectors, etc. when performing related work. This non-safe target item needs to be configured with safety tools that need to be carried during task execution when task management is performed. After the configuration is completed, the process control starts the task, and the operator needs to click on the handheld terminal to start the work task. According to the task configuration requirements, the safety protection tools are scanned by NFC to confirm that the safety protection tools have been carried. If it is not confirmed within 10 minutes of starting the work, it is diagnosed as a non-safe state.

[0132] (2) The unsafe state of the object includes: safety-related Internet of Things equipment offline 2-2-1, safety-related Internet of Things equipment failure 2-2-2, safety tool loss 2-2-3, special vehicle presence 2-2-4, special equipment not used in a standard manner 2-2-5, safety tool over-limit 2-2-6.

[0133] 2-2-1 Safety protection Internet of Things equipment offline, which refers to the device status signal uploaded by the perception layer 4 being in an offline state, and is diagnosed as a non-safe state.

[0134] 2-2-2 Safety protection Internet of Things equipment failure, which refers to the device status signal uploaded by the perception layer 4 being in a failure state, and is diagnosed as a non-safe state.

[0135] 2-2-3 Safety appliance missing, refers to the number of safety appliances placed in the specified position does not meet the requirements. In the diagnosis configuration, the number of various safety appliances required in each position area is associated, if there is an intelligent tool cabinet in the area, the signal of the intelligent safety cabinet is directly accessed by the sensing layer 4, if there is no intelligent tool cabinet, the AI intelligent identification 2-6 algorithm is configured to monitor the number of safety appliances in the area. After the configuration is completed, the signal combination alarm 2-5 diagnoses the safety monitoring item according to the data uploaded by the 4 sensing layer, and when the number is less than the diagnosis configuration, it is diagnosed as a non-safe state; AI intelligent identification 2-6 real-time monitoring of video images in the specified position, when the number identified is less than the diagnosis configuration 1-7, it is diagnosed as a non-safe state.

[0136] 2-2-4 Special vehicle is present, refers to the presence of special vehicles such as tower cranes, forklifts, chemical tank trucks, and sludge trucks in the field that can cause personnel injury. All monitoring cameras in the industrial field are configured with special vehicle recognition algorithms, and AI intelligent identification 2-6 monitors the appearance of special vehicles in the video images of the monitoring camera, and diagnoses the area where the current camera is located as a non-safe state.

[0137] 2-2-5 Special equipment is not used in a standard manner, refers to the use of special equipment by personnel who do not have the qualifications to operate the special equipment. During task management, the special equipment required for task execution is configured, and during task execution, the process control 2-7 queries the special equipment operation qualifications of the personnel who start the work by scanning the code, and if the work personnel do not have valid special equipment qualifications, it is diagnosed as a non-safe state.

[0138] 2-2-6 Safety appliance over-limit, refers to the expiration of safety appliances without replacement. During task management, the safety task is configured with a safety appliance inspection and replacement period. After the configuration is completed, the safety task is issued according to the period, and the process control 2-7 detects that there is a safety task timeout, and diagnoses it as a non-safe state.

[0139] (3) Unsafe factors of the environment include: dangerous gas abundance 2-3-1, environmental temperature and humidity not meeting the standards 2-3-2, air quality not meeting the standards 2-3-3, fire hazards 2-3-4, and unknown intrusion hazards 2-3-5.

[0140] 2-3-1 Dangerous gas abundance, refers to the concentration of toxic and harmful gases and flammable and explosive gases being too high. 1-7 diagnoses the configuration of safety detection items affecting the area, and the concentration is too high. After the configuration is completed, 2-5 signal combination alarm real-time diagnoses the monitoring data uploaded by the 4 sensing layer, and when it exceeds the specified value, it is diagnosed as a non-safe state.

[0141] 2-3-2 On-site working environment temperature and humidity, refers to the environmental temperature and humidity of the working area not meeting the working conditions of the device, equipment, and personnel. Diagnose the influence area and non-safe state numerical interval of the safety detection item. After the configuration is completed, the 2-5 signal combination alarm diagnoses the monitoring data uploaded by the 4 sensing layers in real time, and is diagnosed as a non-safe state when the data falls into the non-safe state numerical interval.

[0142] 2-3-3 Air quality not meeting standards, refers to the air quality of the working area not meeting the working conditions of the personnel. Diagnose the influence area and non-safe state numerical interval of the safety detection item. After the configuration is completed, the signal combination alarm 2-5 diagnoses the monitoring data uploaded by the 4 sensing layers in real time, and is diagnosed as a non-safe state when the data falls into the non-safe state numerical interval.

[0143] 2-3-4 Fire hazard, refers to the alarm uploaded by the fire-fighting system. Diagnose the influence area of the safety detection item. After the configuration is completed, the signal combination alarm 2-5 diagnoses the monitoring data uploaded by the 4 sensing layers in real time, and is diagnosed as a non-safe state when the alarm data group is true.

[0144] 2-3-5 Unknown intrusion hazard, refers to the alarm uploaded by the perimeter system. 1-7 diagnoses the influence area of the safety detection item. After the configuration is completed, the 2-5 signal combination alarm diagnoses the monitoring data uploaded by the 4 sensing layers in real time, and is diagnosed as a non-safe state when the alarm data group is true. The on-off quantity represents: 0 is false, no alarm; 1 is true, with alarm.

[0145] (4) Ineffective management includes: safety tasks not executed in time 2-4-1, safety hazards not rectified in time 2-4-2, safety education not in place 2-4-3, operation data not standardized 2-4-4, inspection work not in place 2-4-5, personnel qualifications not in compliance 2-4-6.

[0146] 2-4-1 Safety tasks not executed in time, refers to the safety tasks required in the safety management system not being completed within the effective period. 1-6 task management configures the task execution period when configuring the safety task, and after the configuration is completed, the process control 2-7 monitors the non-execution of the task expiration and diagnoses it as a non-safe state.

[0147] 2-4-2 Safety hazards not rectified in time, refers to the safety tasks being executed according to the safety management system being unable to be completed with qualified results due to external influences. The task management configures the qualified completion standard when configuring the safety task, and after the configuration is completed, the process control 2-7 monitors the existence of unqualified completion in the task and diagnoses it as a non-safe state.

[0148] 2-4-3 Safety education is not in place, which refers to the safety education before operation required in the safety management system is not completed as required. The task management configures the content of safety education required, the necessary uploaded files, and the personnel who audit the completion of safety education when configuring the operation task. After completion of the configuration, the process control 2-7 monitors that there are incomplete files, no one audits, or does not pass the audit in the task, and then diagnoses as a non-safe state.

[0149] 2-4-4 Operation materials are not standardized, which refers to the materials required to be submitted during the operation process in the safety management system are incomplete or the content does not meet the requirements. The task management configures the materials required to be uploaded during the operation process and the auditing personnel when configuring the operation task. After completion of the configuration, the process control 2-7 monitors that there are incomplete files, no one audits, or does not pass the audit in the task, and then diagnoses as a non-safe state.

[0150] 2-4-5 Inspection work is not in place, which refers to the management personnel at all levels of the enterprise must complete the relevant inspection, guidance, and education work on site according to the frequency during the operation process required in the safety management system. The task management configures the level of management personnel required during the operation process and the inspection cycle. After completion of the configuration, the process control 2-7 pushes the inspection task to the corresponding level of management personnel according to the configured inspection cycle, and if the task is not completed in time, it is diagnosed as a non-safe state.

[0151] 2-4-6 Personnel qualification is not in compliance, which refers to the operation personnel do not have the operation qualification certificate required in the safety management system for the operation, or the certificate is not within the valid period. The diagnosis configuration module 1-7 manages the registration of personnel qualification information. The task management module 1-6 configures the personnel qualification required for the operation when configuring the operation task. When the operation starts, the operation personnel scans the face to confirm the operation personnel. The process control 2-7 queries the personnel qualification information configured in the diagnosis and the information configured in the task management, and if the qualification cannot be matched, it is diagnosed as a non-safe state.

[0152] Industrial site safety diagnosis platform diagnosis result display and processing:

[0153] The diagnosis process of the industrial site safety diagnosis platform is as follows: Figure 8As shown, when the safety diagnosis layer 2 diagnoses that there is a non-safe target item, the query diagnosis configuration module 1-7 displays the influence area point or surface of the safety monitoring item in the 3D isometric field real-time diagnosis positioning 1-1, which is specifically manifested as changing the bottom color of the influence point or influence surface, changing the color to red with a transparency of 25%, so that the target of the platform safety diagnosis result is stronger and the concentration is focused. Clicking the influence point or influence surface can view the current target item state and its associated data, pictures, videos and other materials, while the preplan pushing module 1-3 pushes the non-safe target item exclusion scheme. The diagnosis alarm module 1-2 stores this diagnosis record into the data storage module 5-2 of the data center 5. The diagnosis alarm module 1-2 displays the target item statistical information in the form of a floating window on the 3D isometric model visualization interface, and the specific information is the number of non-safe target items in each region. Clicking the number can expand the detailed diagnosis alarm list content, which includes: target item, diagnosis abnormality occurrence time, influence point or influence surface, associated monitoring camera, associated file data, associated processing preplan, and the last operation alarm elimination in the list is used to eliminate the non-safe state of the misdiagnosed target item.

[0154] The industrial field safety diagnosis platform of the present application can temporarily configure a work space for a work task, manage the space in terms of authority, and display in a 3D isometric field interface. The work space and authority can be temporarily configured and cancelled, which improves the flexibility of the platform. Viewing the platform screen can learn about the current field work conditions, including: work content, work staff, work deadline, work area. This facilitates the on-duty personnel to pay attention to the area being worked on, and improves the work safety guarantee strength; at the same time, the target item of the industrial field safety diagnosis platform of the present application changes the management safety item in the behavior and management specification of the person, which was originally completely managed by the safety consciousness of the staff, to a strong supervision safety monitoring through process control, AI intelligent identification and NFC short distance transmission technology, reduces the influence of people on the safety guarantee of the industrial field, improves the execution degree of the safety guarantee specification, and improves the safety guarantee strength of the industrial field.

[0155] The embodiments in the specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the embodiments can be mutually referred to.

[0156] The principles and implementation modes of the present application are described by applying specific examples in this paper, and the above description of the embodiments is only used to help understand the method of the present application and its core idea; at the same time, for those skilled in the art, according to the idea of the present application, the specific implementation mode and application range will be changed. In summary, the content of the specification should not be understood as a limitation of the present application.

Claims

1. An industrial field safety diagnostic method characterized by, The method comprises the following steps: drawing a 3D equal ratio model of an industrial site; acquiring monitoring information collected by safety-related subsystems and safety-related Internet of Things devices; the safety-related subsystems include a fire-fighting system, a positioning system, a perimeter system, a monitoring system, an access control system, and a broadcasting system; the safety-related Internet of Things devices include a liquid level meter, a pressure sensing device, an environmental monitoring instrument, and an epidemic prevention monitoring device; diagnosing the safety states of each target item in the industrial site according to the monitoring information to obtain a safety diagnosis result, specifically comprising: diagnosing the safety states of each target item in the industrial site according to a signal combination alarm method, an AI intelligent recognition method, or a process control method selected according to the target item; the process control method specifically comprises: controlling a work task process and a safety task process, specifically comprising: determining work information, which includes a work name, a work location, a work time, a work unit, and work attention item content; acquiring work materials, confirming work personnel access permissions, configuring safety tools, and acquiring work prescribed action materials according to the work information; the work materials include a work unit qualification, work personnel information, and work safety education records; the work prescribed action materials include images, texts, or voices of work prescribed actions; judging whether the work personnel has access permissions to obtain a first judgment result; if the first judgment result is no, diagnosing the behavior of the work personnel as a non-safe state and triggering an alarm; judging whether an instruction to end the work task is received to obtain a second judgment result; if the second judgment result is yes, judging whether an instruction that the work action materials uploaded by the current work personnel are complete is received to obtain a third judgment result; if the third judgment result is yes, releasing the access permission restrictions for non-work personnel; if the third judgment result is no, the current work personnel continues to upload work action materials, and returns to the step of judging whether an instruction that the work action materials uploaded by the current work personnel are complete is received; controlling the safety task process, specifically comprising: setting safety task information; the safety task information includes a task period, a task content, a task location, and safety tools that need to be carried; sending the safety task information to the current work personnel; acquiring safety task prescribed action materials uploaded by the current work personnel; the safety task prescribed action materials are actions performed by the current work personnel according to the safety task information; the safety task prescribed action materials include images, texts, or voices of safety task prescribed actions; diagnosing the safety states of each target item in the safety task prescribed action materials uploaded by the current work personnel; when there is a non-safe target item or a safety task that is not performed, the diagnosis result is a non-safe state; the target items include human behavior, object state, environmental factors, and management execution; the human behavior includes whether the personnel are qualified to wear work equipment, whether the personnel posture is abnormal, whether the personnel enter an unauthorized area, and whether the personnel carry necessary safety tools. The state of the object includes whether a safety-related IoT device is offline, whether the safety-related IoT device is malfunctioning, whether a safety appliance at a specified location is missing, whether a special vehicle enters the site, whether a special device is used in a standard manner, and whether a safety appliance is used beyond the limit; The environmental factors include whether a dangerous gas is sufficient, whether the temperature and humidity and air quality of the industrial site operation environment meet the standards, whether the fire control system monitors fire hazards, and whether the perimeter system monitors unknown intrusion hazards; The execution of the management includes whether safety tasks are performed in a timely manner, whether safety hazards are rectified in a timely manner, whether safety education is in place, whether operation materials are standardized, whether inspection work is in place, and whether personnel qualifications are in compliance; When the safety diagnosis result indicates that there is a non-safe target item, the position of a non-safe area is determined according to the non-safe target item; The position of the non-safe area is visually displayed in the 3D isometric model of the industrial site.

2. The industrial field safety diagnostic method of claim 1, wherein, The safety state of each target item in the industrial site is diagnosed according to the monitoring information to obtain a safety diagnosis result, specifically including: The safety state of each target item in the industrial site is diagnosed according to the monitoring information to obtain a safety diagnosis result, specifically including:

3. The industrial field safety diagnostic method of claim 1, wherein, The safety state of each target item in the industrial site is diagnosed according to the monitoring information to obtain a safety diagnosis result, specifically including: The safety state of each target item in the industrial site is diagnosed according to the monitoring information to obtain a safety diagnosis result, specifically including:

4. The industrial field safety diagnostic method of claim 1, wherein, The position of the non-safe area is determined according to the non-safe target item, specifically including: The influence point or influence surface of the non-safe target item is determined according to the monitoring information corresponding to the non-safe target item.

5. The industrial field safety diagnostic method of claim 4, wherein, When the safety diagnosis result indicates that there is a non-safe target item, the method further includes: The diagnosis alarm specifically includes displaying the influence point or influence surface of the non-safe target item in the 3D isometric model of the industrial site.

6. The industrial field safety diagnostic method of claim 1, wherein, The method further includes: The authenticity of the safety diagnosis result is determined by a diagnosis tracing method; The diagnosis tracing method specifically includes: Non-safe historical data corresponding to the non-safe target item in the safety diagnosis result is obtained; the non-safe historical data is monitoring data corresponding to the non-safe target item in historical data; The monitoring information corresponding to the non-safe target item is compared with the non-safe historical data to obtain a comparison result; and The comparison result is compared with the safety diagnosis result to determine the authenticity of the safety diagnosis result. According to the comparison result, the authenticity of the safety diagnosis result is judged. If the monitoring information corresponding to the non-safe target item matches the non-safe historical data, the safety diagnosis result is true.

7. The industrial field safety diagnostic method of claim 1, wherein, After determining the location of the non-safe area, the method further comprises: tracing and confirming the alarm information through the monitoring information corresponding to the non-safe target item and the camera in linkage.

8. The industrial field safety diagnostic method of claim 1, wherein, The method further comprises: generating a diagnosis report; the diagnosis report includes the frequency of diagnosis alarm, the time of diagnosis alarm occurrence, statistical analysis chart file, actual safety management situation of industrial field and weak safety management item.

9. An industrial field safety diagnosis platform implementing the industrial field safety diagnosis method according to claims 1-8, characterized by, It includes: a perception layer, a network layer, a safety diagnosis layer, an application display layer and a data center; the perception layer, the network layer, the safety diagnosis layer and the application display layer are connected with the data center; The perception layer includes safety-related subsystems and safety-related Internet of Things devices, which are used to collect monitoring information of industrial field; the safety-related subsystems include fire fighting system, positioning system, perimeter system, monitoring system, access control system and broadcasting system; the safety-related Internet of Things devices include liquid level meter, pressure sensing device, environmental monitoring instrument and epidemic prevention monitoring device; The network layer includes Internet of Things and Internet; the Internet of Things is used to link the safety-related subsystems and the safety-related Internet of Things devices, and the Internet is used to send the monitoring information to the safety diagnosis layer; The safety diagnosis layer is used to diagnose the safety state of each target item in the industrial field according to the monitoring information, and obtain a safety diagnosis result; the target item includes human behavior, object state, environmental factor and management execution; The application display layer is used to determine the location of a non-safe area according to a non-safe target item when the safety diagnosis result indicates that there is a non-safe target item; and the location of the non-safe area is visually displayed in a 3D equal ratio model of the industrial field.

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