CN120199020A

CN120199020A - Safety early warning method and system for enterprise hazard sources

Info

Publication number: CN120199020A
Application number: CN202510654507.7A
Authority: CN
Inventors: 曹中强; 邢岩; 党杰; 李志勇; 张志峰; 刘浩
Original assignee: Huateng Ruanke Beijing Information Technology Co ltd
Current assignee: Huateng Ruanke Beijing Information Technology Co ltd
Priority date: 2025-05-21
Filing date: 2025-05-21
Publication date: 2025-06-24

Abstract

The present invention provides a safety early warning method and system for enterprise hazardous sources, the method comprising obtaining a monitoring data sequence of a hazardous source and a device status information sequence through a sensor network; performing abnormal detection on the monitoring data to generate abnormal detection information; when the abnormal detection information meets the hazardous condition, generating a hazardous level identification in combination with the device status information; generating a safety early warning signal according to the hazardous level identification and sending it to the early warning device to issue an early warning prompt to the safety personnel. The present invention can accurately identify the risk level of the hazardous source in real time and automatically trigger a differentiated early warning response, thereby improving the active protection capability and emergency response efficiency of the enterprise's production safety.

Description

Safety early warning method and system for enterprise hazard source

Technical Field

The invention relates to the technical field of industrial safety monitoring, in particular to a safety early warning method and system for enterprise hazard sources.

Background

In the current industrial production and enterprise operation processes, the safety management of enterprise hazard sources is always a vital link. Enterprise hazard sources may cover various types, such as chemical hazard storage areas, high-voltage electrical equipment areas, high-temperature working places and the like, and once safety accidents occur in the areas, the areas not only cause huge economic loss to enterprises, but also may endanger life safety of staff and surrounding environments. In order to prevent safety accidents caused by dangerous sources, the traditional safety management mode mainly depends on manual regular inspection and some basic safety monitoring devices. Although some obvious potential safety hazards can be found in manual inspection, the efficiency is low, real-time monitoring is difficult to achieve, and the potential safety hazards are easily affected by human factors, so that part of the potential safety hazards are omitted. The basic safety monitoring equipment can realize automatic monitoring to a certain extent, but has relatively single function, can only monitor specific parameters generally, has poor adaptability to complex and changeable dangerous source environments, cannot accurately judge the real-time safety state of the dangerous source, and is more difficult to realize grading early warning and linkage with other safety control systems.

With the continuous development of sensor technology, data processing technology and communication technology, more advanced enterprise hazard source safety monitoring and early warning systems are presented. By deploying the sensor network in the dangerous source area, the system can acquire monitoring data of the dangerous source, such as parameters of temperature, pressure, gas concentration and the like, and transmit the data to a monitoring center for analysis and processing. However, these existing systems still have some limitations in practical applications. On the one hand, the abnormal detection of the monitoring data is not accurate enough, and whether the data exceeds a preset threshold value or not can be simply judged, so that the change trend, the relevance and the like of the data cannot be deeply analyzed, and some potential dangerous states cannot be timely identified. On the other hand, the existing early warning mechanism is simpler, and generally only sends out single-level early warning signals when abnormal data are detected, so that the capability of carrying out grading early warning according to the dangerous degree is lacking, and more targeted countermeasure suggestions can not be provided for safety personnel. In addition, the existing system is also insufficient in the aspect of linkage with an enterprise safety control system, and emergency control operation cannot be timely carried out on related equipment according to a dangerous state, so that the safety management of a dangerous source has defects on the whole cooperativity.

In the process of realizing the embodiment of the invention, the inventor finds that at least the following problems or defects exist in the prior art, namely the existing enterprise hazard source safety monitoring and early warning system has insufficient abnormal detection precision of monitoring data and cannot accurately identify potential hazard states, the early warning mechanism is not perfect enough, the hierarchical early warning function and the effective linkage with the safety control system are lacked, and the requirements of enterprises on the refinement and the intellectualization of hazard source safety management are difficult to meet.

Disclosure of Invention

The invention provides a safety early warning method and system for enterprise hazard sources.

In a first aspect of the present invention, a security pre-warning method for enterprise hazard sources is provided, including:

Acquiring a dangerous source monitoring data sequence and an equipment state information sequence of an enterprise safety control system through a sensor network of an enterprise dangerous source area;

performing anomaly detection on each dangerous source monitoring data in the dangerous source monitoring data sequence to obtain anomaly detection information;

Generating a dangerous grade identifier based on the equipment state information sequence and the abnormality detection information in response to the abnormality detection information meeting a preset dangerous condition;

based on the danger grade identification, generating a corresponding safety early warning signal, and sending the safety early warning signal to early warning equipment for early warning prompt, wherein the safety early warning signal is an early warning prompt signal sent by safety personnel in an enterprise danger source area.

Further, the anomaly detection of each hazard source monitoring data in the hazard source monitoring data sequence to obtain anomaly detection information comprises the steps of anomaly detection of each hazard source monitoring data in the hazard source monitoring data sequence to generate an anomaly state identification sequence, wherein the anomaly state identification in the anomaly state identification sequence represents that the hazard source is in a normal state, an anomaly state or a hazard state;

And generating abnormality detection information in response to determining that each abnormal state identifier in the abnormal state identifier sequence meets a preset state condition, wherein the abnormality detection information is information representing that the dangerous source is in an abnormal state or a dangerous state.

Further, the generating the risk level identifier based on the equipment state information sequence and the abnormality detection information comprises the steps of obtaining an environment parameter detection value detected by an auxiliary sensor deployed in an enterprise risk source area, wherein the auxiliary sensor is connected in advance;

Generating a danger level identifier representing a first-level danger in response to determining that the abnormality detection information is information representing that the danger source is in an abnormal state;

generating a danger level identifier representing a secondary danger in response to determining that the abnormality detection information is information representing that a danger source is in a dangerous state and the environment parameter detection value is not in a preset danger value interval;

generating a danger level identifier representing three-level danger in response to determining that the abnormality detection information is information representing that a danger source is in a dangerous state and the environment parameter detection value is in a preset danger value interval;

Generating an equipment running state identifier based on the equipment state information in the equipment state information sequence, wherein the equipment running state identifier is an identifier for representing the normal running state of equipment, the standby state of equipment, the transition of the equipment from the normal running state to the overload state or the transition of the equipment from the standby state to the shutdown state;

Generating a danger level identifier representing a four-level danger in response to the fact that the abnormality detection information is information representing that a danger source is in a dangerous state, the environment parameter detection value is not in a preset dangerous value interval, and the equipment running state identifier is an identifier for converting equipment from a standby state to a shutdown state;

And generating a risk level identifier representing five-level risk in response to the fact that the abnormality detection information is information representing that the risk source is in a dangerous state, the environment parameter detection value is not in a preset dangerous value interval, and the equipment operation state identifier is an identifier for converting equipment from a normal operation state to an overload state.

Further, before the corresponding safety precaution signal is generated based on the danger level identification, the method further comprises the steps of sending a data calibration instruction to the auxiliary sensor so that the auxiliary sensor can execute parameter calibration operation for optimizing detection precision;

and controlling the emergency indicator lamp in the enterprise hazard source area to perform flashing operation so as to be used for early warning and alarming.

Further, before the generating of the corresponding safety precaution signal based on the hazard level identification, the method further comprises generating device emergency control information based on the device status information sequence in response to determining that the hazard level identification is an identification that characterizes a secondary hazard, a tertiary hazard, a quaternary hazard, or a penta hazard;

and sending the equipment emergency control information to a safety control system to perform emergency control operation on equipment.

Further, the step of generating a corresponding safety early warning signal based on the danger level identifier and sending the safety early warning signal to early warning equipment for early warning prompt comprises the following safety early warning interaction steps of:

Generating corresponding safety early warning interaction information based on the hazard level represented by the hazard level identifier;

based on a preset signal intensity range corresponding to the hazard level represented by the hazard level identifier, converting the safety pre-warning interaction information into a safety pre-warning signal, and sending the safety pre-warning signal to pre-warning equipment for pre-warning prompt;

And responding to the safety confirmation instruction received for the safety early warning signal in a preset time period, sending a data calibration termination instruction to the auxiliary sensor, and terminating the flashing operation of the emergency indicator lamp.

Further, the method further comprises:

in response to not receiving a safety confirmation instruction for the safety early warning signal within a preset time period, adjusting the preset signal strength range to obtain adjusted signal strength;

determining the dangerous source area number, the equipment code, the dangerous source position coordinate and the dangerous state information as enterprise safety risk information, wherein:

The dangerous source area number is a unique identifier of the enterprise dangerous source area;

the device code is a unique identifier of each sensor in the sensor network;

the dangerous source position coordinates are geographic position coordinates of an enterprise dangerous source area;

The dangerous state information comprises the dangerous source monitoring data sequence, the equipment state information sequence, the abnormality detection information, the dangerous grade identification and the adjusted signal intensity;

And sending the enterprise security risk information to an enterprise security supervision platform for displaying and supervising the security state of the dangerous source, and executing the security early warning interaction step again according to the adjusted signal intensity.

Further, the method for acquiring the environmental parameter detection values detected by the auxiliary sensor deployed in the enterprise hazard source area comprises the steps of synchronously acquiring a plurality of environmental parameter detection values of preset types of time periods corresponding to the hazard source monitoring data sequence by the auxiliary sensor, wherein the plurality of environmental parameter detection values of preset types comprise a temperature detection value, a pressure detection value and a gas concentration detection value;

Respectively performing data calibration processing on the temperature detection value, the pressure detection value and the gas concentration detection value to obtain a calibrated temperature detection value, a calibrated pressure detection value and a calibrated gas concentration detection value;

and taking the weighted summation result of the calibrated temperature detection value, the calibrated pressure detection value and the calibrated gas concentration detection value as the environment parameter detection value.

Further, the adjusting the preset signal strength range to obtain the adjusted signal strength in response to not receiving the safety confirmation instruction for the safety precaution signal in a preset time period comprises determining a signal strength adjustment coefficient based on the accumulated times of not receiving the safety confirmation instruction in the preset time period;

Multiplying the upper limit value of the preset signal intensity range by the signal intensity adjustment coefficient to obtain an upper limit value of the adjusted signal intensity;

Multiplying the lower limit value of the preset signal intensity range by the signal intensity adjustment coefficient to obtain the lower limit value of the adjusted signal intensity;

Taking a range containing the upper limit value and the lower limit value of the adjusted signal intensity as the adjusted signal intensity;

And storing the accumulated times, the adjusted signal strength and the execution time stamp of the safety early warning interaction step in a risk log database of an enterprise safety supervision platform in a correlated mode.

In a second aspect of the present invention, there is provided a security early warning system for an enterprise hazard source, comprising:

The data acquisition module is configured to acquire a dangerous source monitoring data sequence and acquire a device state information sequence of an enterprise safety control system through a sensor network of an enterprise dangerous source area;

The abnormality detection module is configured to perform abnormality detection on each dangerous source monitoring data in the dangerous source monitoring data sequence to obtain abnormality detection information;

The danger level generation module is configured to respond to the abnormality detection information to meet a preset danger condition, and generate a danger level identifier based on the equipment state information sequence and the abnormality detection information;

and the early warning execution module is configured to generate a corresponding safety early warning signal based on the danger level identifier and send the safety early warning signal to early warning equipment for early warning prompt, wherein the safety early warning signal is an early warning prompt signal sent by safety personnel in an enterprise danger source area.

The above-described embodiments according to the invention have at least the following advantageous effects:

1. By deploying the multi-type sensor network and establishing a real-time data monitoring mechanism, the operation parameters and the environment indexes of the dangerous source area can be comprehensively acquired, the abnormal state identification and the grading judgment can be carried out by combining the intelligent algorithm, the problems of missing report and false report existing in the traditional manual inspection or single sensor monitoring can be effectively solved, and the accuracy and the response speed of dangerous early warning can be obviously improved.

2. By adopting a multidimensional fusion analysis technology of environmental parameters, equipment running states and hazard source data, a five-level hazard level assessment result can be intelligently generated, corresponding early warning schemes and emergency control strategies can be automatically matched, the defects of single response mode and lack of pertinence of the traditional early warning system are overcome, and the whole-flow accurate management from risk early warning to emergency treatment is realized.

3. By establishing an early warning signal dynamic regulation mechanism and a risk information automatic reporting system, the early warning strength can be intelligently enhanced and synchronously pushed to a supervision platform when early warning is not responded in time, a closed-loop management flow of early warning-confirmation-disposal is formed, potential safety hazards caused by human negligence or response delay are effectively solved, and the reliability of the early warning system and the timeliness of emergency disposal are ensured.

Drawings

The above, as well as additional purposes, features, and advantages of exemplary embodiments of the present invention will become readily apparent from the following detailed description when read in conjunction with the accompanying drawings. Several embodiments of the present invention are illustrated by way of example, and not by way of limitation, in the figures of the accompanying drawings and in which:

FIG. 1 is a flow chart of a method for providing security early warning for enterprise hazard according to an embodiment of the present invention;

FIG. 2 is a schematic diagram illustrating a structure of a security early warning system for enterprise hazard sources according to an embodiment of the present invention;

Fig. 3 schematically shows a schematic structural diagram of an electronic device according to an embodiment of the present invention.

Detailed Description

The principles and spirit of the present invention will be described below with reference to several exemplary embodiments. It should be understood that these embodiments are presented merely to enable those skilled in the art to better understand and practice the invention and are not intended to limit the scope of the invention in any way. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.

Those skilled in the art will appreciate that embodiments of the invention may be implemented as a system, apparatus, device, method, or computer program product. Accordingly, the present invention may be embodied in the form of hardware entirely, software (including firmware, resident software, micro-code, etc.), or in a combination of hardware and software.

It should be noted that any number of elements in the figures are for illustration and not limitation, and that any naming is used for distinction only and not for limitation.

Referring to fig. 1, fig. 1 is a flow chart of a security early warning method for enterprise hazard according to an embodiment of the present invention. As shown in fig. 1, a security early warning method for an enterprise hazard source includes:

S1, acquiring a dangerous source monitoring data sequence and an equipment state information sequence of an enterprise safety control system through a sensor network of an enterprise dangerous source area;

s2, carrying out anomaly detection on each dangerous source monitoring data in the dangerous source monitoring data sequence to obtain anomaly detection information;

s3, responding to the abnormality detection information meeting a preset dangerous condition, and generating a dangerous grade identifier based on the equipment state information sequence and the abnormality detection information;

S4, generating a corresponding safety early warning signal based on the danger level identifier, and sending the safety early warning signal to early warning equipment for early warning prompt, wherein the safety early warning signal is an early warning prompt signal sent by safety personnel in an enterprise danger source area.

The dangerous source monitoring data sequence and the equipment state information sequence of the enterprise safety control system are acquired through the sensor network of the enterprise dangerous source area so as to comprehensively grasp the safety condition of the dangerous source area. The sensor network is composed of a plurality of sensors distributed in a dangerous source area, and the sensors can acquire various data related to the dangerous source, such as temperature, pressure, gas concentration and the like, and the data are sequentially arranged at certain time intervals to form a monitoring data sequence. The enterprise safety control system is a system for monitoring and managing the running state of enterprise production equipment, and the equipment state information sequence is to record the running state information of the equipment at different time points, such as whether the equipment runs normally, whether faults exist or not, etc., and the information is critical to judging the safety condition of dangerous sources.

Specifically, abnormality detection is performed on each hazard source monitoring data in the hazard source monitoring data sequence in order to identify whether an abnormality exists in the data. The anomaly detection is a process of judging whether it deviates from a normal range or has an abnormal variation trend by analyzing the monitoring data. For example, a normal range of 0-50 degrees celsius may be set, and when the monitored temperature data exceeds this range, it is considered as abnormal data. The preset dangerous condition refers to a condition for judging a dangerous level preset according to the characteristics of a dangerous source and safety requirements, for example, when a certain gas concentration exceeds a certain threshold value and a certain duration reaches a certain duration, the preset dangerous condition is met. The risk level identification is generated based on the equipment state information sequence and the abnormality detection information, and the risk level of the risk source is determined according to the running state of the equipment and the abnormality detection result. For example, if the equipment is in a normal operation state and the monitoring data is not abnormal, the risk level is low, and if the equipment fails and the monitoring data is abnormal, the risk level is high. The safety early warning signal is an early warning prompt signal sent by safety personnel in an enterprise dangerous source area and is used for reminding the safety personnel to take corresponding measures, for example, sending out an alarm in a sound, light and other modes.

Preferably, when abnormality detection is performed on each dangerous source monitoring data in the dangerous source monitoring data sequence, a statistical-based method may be adopted to calculate the mean value and standard deviation of the monitoring data, and then determine whether the data is within a normal range. For example, if the data deviates from the mean by more than twice the standard deviation, it is considered to be anomalous data. When the danger level identification is generated, different danger levels can be set according to different abnormal conditions and equipment states. For example, the risk class is divided into a first to fifth class, where one indicates a slight risk and five indicates an extreme risk. The safety early warning signal can be sent to early warning equipment worn by safety personnel through a wireless communication technology, so that the safety personnel can receive early warning information in time and take measures.

In some embodiments, the anomaly detection of each hazard source monitoring data in the hazard source monitoring data sequence to obtain anomaly detection information includes performing anomaly detection on each hazard source monitoring data in the hazard source monitoring data sequence to generate an anomaly state identification sequence, wherein an anomaly state identification in the anomaly state identification sequence characterizes that the hazard source is in a normal state, an anomaly state or a hazard state;

It should be noted that, the anomaly detection is performed on each hazard monitoring data in the hazard monitoring data sequence to generate the anomaly state identification sequence, so as to more precisely know the real-time state of the hazard. The abnormal state identification in the abnormal state identification sequence is used for representing that the dangerous source is in a normal state, an abnormal state or a dangerous state, which facilitates the subsequent more accurate risk assessment of the dangerous source. The preset condition is a criterion preset according to the characteristics of the dangerous source and the safety requirement, and is used for judging whether the dangerous source is in an abnormal or dangerous state, for example, when a certain gas concentration exceeds a set threshold value, the abnormal condition is satisfied.

Specifically, the abnormal state identification sequence is composed of a series of abnormal state identifications, and each identification corresponds to one monitoring data point and is used for indicating the dangerous source state represented by the data point. For example, a normal state may be represented by the number 0, an abnormal state by the number 1, and a dangerous state by the number 2. The preset state condition may be a combination of various parameters, for example, for the temperature monitoring data, an abnormal state when the temperature exceeds 40 degrees celsius and a dangerous state when the temperature exceeds 60 degrees celsius may be set. The gas concentration monitoring data may be set to be in an abnormal state when the concentration of a certain harmful gas exceeds 10ppm, and in a dangerous state when the concentration exceeds 50 ppm. The setting of these parameters needs to be determined according to specific hazard source characteristics and safety standards to ensure that the state change of the hazard source can be accurately identified.

Preferably, the anomaly detection may be implemented by building a data model, for example, a classification model based on machine learning may be used, where the input parameters include a historical value and a current value of the monitored data, and the model classifies the current monitored data by learning normal and abnormal patterns in the historical data, and outputs a corresponding anomaly status identifier. When monitoring data is processed, the data can be preprocessed, such as noise removal, missing value filling and the like, so that the accuracy of anomaly detection is improved. For example, for the temperature monitoring data, noise caused by short-term fluctuation can be removed by a moving average method, and abnormality detection is performed. For gas concentration monitoring data, missing values caused by sensor faults can be filled through interpolation, and data integrity is ensured.

In some embodiments, the generating the risk level identification based on the equipment state information sequence and the abnormality detection information includes obtaining an environmental parameter detection value detected by an auxiliary sensor deployed in an enterprise risk source area, wherein the auxiliary sensor is pre-connected;

The process of generating the risk level identifier based on the equipment status information sequence and the abnormality detection information is to comprehensively evaluate the safety condition of the risk source region. The device state information sequence records the running states of the device at different time points, and the abnormality detection information reflects the abnormality in the monitoring data. By combining the information of the two, the dangerous grade of the dangerous source can be judged more accurately, so that a basis is provided for subsequent safety early warning. The risk level identification is a quantitative representation of the risk level of a source of risk, typically classified into different levels, in order to take corresponding countermeasures.

Specifically, the device state information in the device state information sequence may include a normal operation state of the device, a standby state of the device, a transition from the normal operation state to an overload state of the device, a transition from the standby state to a shutdown state of the device, and the like. For example, the normal operating state of the device may be determined by operating parameters of the device within a normal range, such as a current of the motor between 80% and 100% of the rated current, and the standby state of the device may be identified by a low power mode of the device, such as a current of the device below 20% of the rated current. The abnormality detection information is determined according to an abnormality state identification of the monitoring data, for example, if the monitored gas concentration exceeds a preset threshold, the abnormality detection information indicates that the hazard source is in an abnormal state. The preset dangerous value interval refers to a safety range of environmental parameters set according to safety standards, for example, the dangerous value interval of temperature may be set to be more than 60 degrees celsius, and the dangerous value interval of pressure may be set to be more than 1.5 times rated pressure. The setting of these parameters needs to be determined according to specific dangerous source characteristics and safety requirements so as to ensure the accuracy of dangerous grade identification.

Preferably, the process of generating the hazard class identification may be implemented by setting a series of logic rules. For example, a first-level hazard sign is generated when the anomaly detection information characterizes the hazard source in an anomaly state, a second-level hazard sign is generated when the anomaly detection information characterizes the hazard source in a hazard state and the environmental parameter detection value is not in a preset hazard value interval, and a third-level hazard sign is generated when the anomaly detection information characterizes the hazard source in a hazard state and the environmental parameter detection value is in a preset hazard value interval.

Further, the risk level may be further refined based on the device status information. For example, a four-level hazard identification is generated when the device transitions from a standby state to a shutdown state and the anomaly detection information indicates that the hazard source is in a hazard state, and a five-level hazard identification is generated when the device transitions from a normal operation state to an overload state and the anomaly detection information indicates that the hazard source is in a hazard state. In practical application, the logic rules can be realized through programming, and input parameters comprise equipment state information, abnormality detection information and environment parameter detection values, and the input parameters are output as corresponding danger level identifiers.

In some embodiments, before the generating of the corresponding safety precaution signal based on the hazard level identification, the method further comprises sending a data calibration instruction to the auxiliary sensor for the auxiliary sensor to perform a parameter calibration operation for optimizing detection accuracy;

It should be noted that, before generating the safety early warning signal, a data calibration instruction is sent to the auxiliary sensor, and the emergency indicator lamp is controlled to perform a flashing operation, so as to ensure the accuracy of the monitoring data and prompt safety personnel to pay attention to the potential danger in time. Auxiliary sensors are devices for detecting environmental parameters, such as temperature, pressure, gas concentration, etc., and the detection accuracy of these sensors directly affects the accuracy of hazard source monitoring. The data calibration instruction is an operation instruction for instructing the auxiliary sensor to perform parameter calibration, and the detection precision of the sensor can be optimized through calibration, so that errors are reduced. The emergency indicator lamp is warning equipment arranged in a dangerous source area, and can give out early warning to safety personnel in advance through flashing operation to remind the safety personnel of possible dangers.

In particular, the auxiliary sensor generally includes various types of sensors, such as a temperature sensor for detecting an ambient temperature, a pressure sensor for detecting a pressure change, and a gas concentration sensor for detecting a concentration of a harmful gas. The detection values of these sensors are affected by environmental factors and equipment aging, and therefore require periodic calibration. The data calibration instructions may be sent through a communication interface of the sensor, such as through a wireless communication module or a wired communication line. The calibration process includes adjusting the output value of the sensor against a standard reference value to ensure the accuracy of the detected value. The flashing operation of the emergency indicator light may be performed by the control circuit, for example by setting a timer, so that the indicator light flashes at a certain frequency, for example once per second. Such flashing operation may be started immediately upon detection of the abnormal state identification to draw attention of security personnel.

Preferably, the sending of the data calibration instructions may be based on a preset time interval or a specific trigger condition. For example, it may be set that the calibration instruction is automatically transmitted every 24 hours, or immediately transmitted when the abnormal state identification is detected. The sending of the calibration instructions may be accomplished by a sensor management system that may record the time and results of the calibration for subsequent maintenance and management. The flashing frequency of the emergency indicator light may be adjusted according to the hazard level, e.g. for a first level hazard the flashing frequency may be set to once per second, and for a higher level hazard the flashing frequency may be increased to twice per second.

Further, the color of the emergency indicator light can be changed according to the danger level, such as yellow for low-level danger and red for high-level danger, so that danger information can be more intuitively transmitted to safety personnel.

In some embodiments, prior to the generating the corresponding safety precaution signal based on the hazard level identification, the method further comprises generating device emergency control information based on the device status information sequence in response to determining that the hazard level identification is an identification that characterizes a secondary hazard, a tertiary hazard, a quaternary hazard, or a penta-level hazard;

Before generating the safety early warning signal, the system determines whether the emergency control information of the equipment needs to be generated according to the hazard level identifier, and sends the emergency control information to the safety control system to perform emergency control operation on the equipment. The process is to take measures to control related equipment in time when the dangerous state is detected, so that the danger is prevented from being further enlarged. The device emergency control information is information for instructing the safety control system to perform a specific operation on the device, such as stopping the operation of the device, switching to a safety mode, etc., to ensure the safety of the device and personnel.

Specifically, the device emergency control information is generated according to a device state information sequence and a risk level identifier. The device state information sequence records the running states of the device at different time points, including a normal running state of the device, a standby state of the device, a transition from the normal running state to an overload state of the device, a transition from the standby state to a shutdown state of the device, and the like. The risk level identification reflects the risk level of the risk source, such as a primary risk, a secondary risk, etc. When the danger level identification reaches a preset threshold value, the system generates corresponding equipment emergency control information. For example, when the hazard level is identified as a secondary hazard, the system may generate instructions to cause the device to enter a low power mode, and when the hazard level is identified as a five-level hazard, the system may generate instructions to cause the device to immediately shut down. After the safety control system receives the equipment emergency control information, corresponding operation is performed on the equipment according to the instruction, such as adjusting the operation parameters of the equipment or changing the operation state of the equipment.

Preferably, the generation of the device emergency control information may be implemented by a preset rule engine. The rule engine can generate corresponding control instructions according to preset rules according to the dangerous grade identification and specific parameters in the equipment state information sequence. For example, if the device is in a normal operating state and the hazard level is identified as a three-level hazard, the rules engine may generate instructions to cause the device to reduce operating power. The operating parameters of the device, such as the current of the motor, the temperature of the device, etc., may be monitored and analyzed in real time while the device state information sequence is being processed. When these parameters are outside of normal range, in combination with the hazard level identification, the system may generate corresponding device emergency control information.

Further, the transmission of the emergency control information of the device may be achieved through a communication interface of the safety control system, for example, by transmitting a control command to the control system of the device through an industrial ethernet or a field bus.

In some embodiments, the generating a corresponding safety precaution signal based on the risk level identifier and sending the safety precaution signal to a precaution device for precaution prompting includes, for the risk level identifier, executing the following safety precaution interaction steps:

It should be noted that, based on the dangerous grade identification, corresponding safety early warning interaction information is generated and converted into a safety early warning signal to be sent to the early warning equipment, so as to take different early warning measures according to different dangerous grades, ensure that safety personnel can timely and accurately receive the early warning information and take corresponding actions. Meanwhile, after receiving the safety confirmation instruction, sending a data calibration termination instruction to the auxiliary sensor and terminating the flashing operation of the emergency indicator lamp, so as to timely stop unnecessary early warning measures after confirming safety, and avoid resource waste and excessive alarm.

Specifically, the safety pre-warning interaction information is generated according to the risk level identification and is used for describing the risk degree and possible countermeasures of a risk source. For example, a first level hazard corresponds to a slight anomaly, requesting information for inspection, while a fifth level hazard corresponds to an extreme hazard, requesting information for immediate evacuation. The preset signal intensity range refers to an intensity range of the early warning signal set according to the hazard level, for example, the signal intensity of the first-stage hazard may be set to a lower volume or a slower blinking frequency, and the signal intensity of the fifth-stage hazard may be set to a higher volume or a faster blinking frequency. The safety precaution signal is a signal that converts the safety precaution interaction information into a signal that can be recognized and processed by the precaution device, such as a sound signal, a light signal, or a vibration signal. The early warning device is a device installed in a dangerous source area and is used for receiving a safety early warning signal and sending an early warning prompt to safety personnel, such as an alarm, a flashing lamp or a handheld terminal device.

Preferably, the generation of the safety precaution interaction information can be realized through preset templates and rules. For example, according to the risk level identification, a corresponding template is selected from a preset template library, and specific information such as the position of a risk source, the risk type and the like is filled according to actual conditions. The setting of the preset signal intensity range can be determined according to the dangerous grade and the characteristics of the early warning equipment. For example, the sound signal may have a first-order hazard volume of 60 db and a fifth-order hazard volume of 100 db, and the light signal may have a first-order hazard flicker frequency of 1 time per second and a fifth-order hazard flicker frequency of 5 times per second. After the safety confirmation instruction is received, the safety personnel can be confirmed through a feedback mechanism of the early warning device to receive and process the early warning information, then a data calibration termination instruction is sent to the auxiliary sensor, the flickering operation of the emergency indicator lamp is stopped, and the normal operation of the whole early warning system and the effective utilization of resources are ensured.

In some embodiments, the method further comprises:

the device code is a unique identifier of each sensor in the sensor network;

When the system does not receive a safety confirmation instruction for the safety early warning signal within a preset time period, the preset signal strength range is automatically adjusted, and the adjusted signal strength is generated to enhance the significance of the early warning signal. The dangerous source area is numbered as a unique identifier of the enterprise dangerous source area, the equipment code is a unique code identifier of each sensor in the sensor network, and the dangerous source position coordinate is geographic position coordinate data of the enterprise dangerous source area. And the system generates enterprise safety risk information by integrating the dangerous source area number, the equipment code, the dangerous source position coordinate and the dangerous state information, wherein the dangerous state information comprises a dangerous source monitoring data sequence, an equipment state information sequence, abnormality detection information, a dangerous grade identifier and adjusted signal intensity. The enterprise security risk information is sent to the enterprise security supervision platform through an encryption communication protocol, the platform displays the geographical position, the equipment running state, the risk level and the early warning signal intensity of a dangerous source in real time, the security early warning interaction step is executed again based on the adjusted signal intensity, the multichannel early warning equipment (such as an audible alarm, an emergency indicator lamp and a short message notification) is triggered through the enhanced early warning signal intensity, and timely response of security personnel is ensured.

The preset time period is a fixed time length for waiting for a safety confirmation instruction after the system sends a safety early warning signal, and the value of the fixed time length is preset according to an actual scene. The safety confirmation instruction is fed back by safety personnel through the early warning equipment and used for indicating that the early warning information is received and processed. The adjusted signal strength is generated by determining a signal strength adjustment coefficient based on the accumulated number of times that no safety confirmation instruction is received in a preset time period, and multiplying the upper and lower limit values of the original preset signal strength range by the coefficient to obtain the upper and lower limit values of the adjusted signal strength. For example, the signal strength adjustment factor may be incremented with the number of accumulations (1.1 for the first unacknowledged factor, followed by 0.1 for each increment). The system synchronously integrates real-time monitoring data acquired by the sensor network, equipment state data of the enterprise safety control system, an abnormality detection result and risk level judgment information, and binds the area number, the equipment code and the position coordinate to form a complete risk tracking data chain, so that full-dimension decision support is provided for the enterprise safety supervision platform.

Preferably, the enterprise security risk information is transmitted to the platform through a TLS/SSL encryption protocol to ensure the data security, and the platform interface updates the dangerous source state in real time and provides a historical data tracing function to analyze the risk trend. And when the safety early warning interaction step is executed again, the system synchronously activates the sound alarm, the flashing light and the short message notification according to the adjusted signal intensity, so that the early warning coverage area is enlarged. By dynamically enhancing the signal intensity and the multi-equipment collaborative early warning, the method remarkably improves the reliability and response efficiency of the early warning system and ensures the real-time performance and controllability of enterprise hazard source monitoring.

It should be noted that, when the safety confirmation instruction for the safety early warning signal is not received within the preset time period, the system adjusts the preset signal strength range to enhance the significance of the early warning signal and ensure that the safety personnel can notice the early warning information. Meanwhile, the system can determine the dangerous source area number, the equipment code, the dangerous source position coordinate and the dangerous state information as enterprise safety risk information and send the information to an enterprise safety supervision platform. The enterprise safety supervision platform is used for displaying and supervising the safety state of the dangerous source so that a manager can know the state of the dangerous source in real time and take corresponding measures. In addition, the safety early warning interaction step is executed again according to the adjusted signal intensity, so that the effectiveness of early warning is further improved, and the safety information can be timely transmitted and processed.

Specifically, the preset time period refers to a time interval for waiting for confirmation of the security personnel after the system sends the security early warning signal, and may be set to 5 minutes, for example. The safety confirmation instruction is confirmation information sent to the system by the early warning device or other modes after the safety personnel receive the early warning signal, and indicates that the safety personnel have received and are processing the early warning. The signal strength adjustment coefficient is a value determined based on the cumulative number of times the safety confirmation instruction is not received, and is used for adjusting the signal strength. For example, the signal strength adjustment factor may be increased by 0.1 each time an acknowledgement command is not received. The adjusted signal strength range is obtained by multiplying the upper and lower limit values of the preset signal strength range by the signal strength adjustment coefficients respectively, so as to ensure that the signal strength can be enhanced along with the increase of unacknowledged times. The enterprise security risk information comprises a risk source area number, equipment codes, risk source position coordinates, risk state information and the like, and the information is used for comprehensively describing the real-time risk state of a risk source. The hazard state information may include hazard source monitoring data sequences, equipment state information sequences, anomaly detection information, hazard level identification, adjusted signal strength, etc., which provide detailed hazard source state information to the manager.

Preferably, the calculation of the signal strength adjustment coefficient may be dynamically adjusted according to the cumulative number of times the security confirmation instruction is not received. For example, the first time no acknowledgement instruction is received, the coefficient is 1.1, the second time no acknowledgement instruction is received, the coefficient is 1.2, and so on. The generation of the enterprise security risk information may be achieved by a data integration module that collects data from the various sensors and devices and integrates the data in a preset format. In sending the enterprise security risk information to the enterprise security administration platform, an encrypted communication protocol, such as TLS/SSL, may be used to ensure the security of the data transmission. The enterprise safety supervision platform can be set to update an interface in real time, display the latest state information of the hazard source, and provide a historical data query function so that a manager can trace the historical risk state of the hazard source.

Further, when the security early warning interaction step is executed again, the security early warning signal can be regenerated according to the adjusted signal intensity, and the security early warning signal is sent out simultaneously through various early warning devices such as a sound alarm, a flashing lamp, a short message notification and the like, so that the coverage range and the effectiveness of early warning are improved.

In some embodiments, the acquiring the environmental parameter detection values detected by the auxiliary sensor deployed in the enterprise hazard source area includes synchronously acquiring a plurality of environmental parameter detection values of a preset type of the hazard source monitoring data sequence in a corresponding time period by the auxiliary sensor, wherein the plurality of environmental parameter detection values of the preset type include a temperature detection value, a pressure detection value and a gas concentration detection value;

It should be noted that, the method is to obtain the environmental parameter detection value detected by the auxiliary sensor deployed in the enterprise dangerous source area, so as to more comprehensively evaluate the safety condition of the dangerous source. The auxiliary sensor can synchronously collect a plurality of environmental parameter detection values of preset types, such as temperature, pressure, gas concentration and the like, of a time period corresponding to the dangerous source monitoring data sequence. After the detection values of the parameters are subjected to data calibration processing, a comprehensive environment parameter detection value is obtained in a weighted summation mode and is used for more accurately reflecting the environment condition of the dangerous source area. The comprehensive evaluation method can improve the accuracy and reliability of dangerous source monitoring and provide more powerful support for subsequent safety early warning.

Specifically, the auxiliary sensor refers to equipment installed in a dangerous source area and used for detecting environmental parameters. These sensors may include temperature sensors, pressure sensors, gas concentration sensors, and the like. The temperature sensor is used for measuring the ambient temperature, the pressure sensor is used for measuring the ambient pressure, and the gas concentration sensor is used for measuring the concentration of specific gas. The preset type of environment parameter detection value refers to a parameter type to be detected preset according to the characteristics and safety requirements of the dangerous source. The data calibration process refers to correcting the raw data acquired by the sensor to eliminate sensor errors and environmental interference. For example, calibration of the temperature detection value may adjust the output value of the sensor by comparing the readings of the standard thermometer. The weighted summation is to allocate different weights according to the importance of each parameter, multiply the calibrated parameter values by the corresponding weights and then add the multiplied parameter values to obtain a comprehensive environment parameter detection value. For example, if the importance of temperature is 0.4, the importance of pressure is 0.3, and the importance of gas concentration is 0.3, then the integrated environmental parameter test value is the result of multiplying the calibrated temperature test value by 0.4, adding the calibrated pressure test value by 0.3, and adding the calibrated gas concentration test value by 0.3.

Preferably, the data calibration process may be implemented by building a calibration model. For example, for a temperature sensor, a linear regression model may be used, with input parameters being the raw temperature value acquired by the sensor and the reading of a standard thermometer, and calibration coefficients obtained by model fitting. Similar models may also be used for calibration of the pressure sensor and the gas concentration sensor. In the weighted summation process, the assignment of weights may be determined based on historical data and expert experience. For example, if the historical data shows that the temperature has the greatest impact on the safety of the hazard source, then the temperature detection value may be given a higher weight.

Further, in order to improve the accuracy of the detected value of the integrated environmental parameter, a deviation correction factor may be introduced into the calibrated parameter value, which factor may be adjusted according to the long-term stability test result of the sensor. For example, if a sensor deviates after long-term operation, it can be adjusted by a deviation correction factor to ensure the reliability of the detected value of the integrated environmental parameter.

In some embodiments, the adjusting the preset signal strength range to obtain the adjusted signal strength in response to not receiving the safety confirmation instruction for the safety precaution signal within a preset time period includes determining a signal strength adjustment coefficient based on the accumulated number of times not receiving the safety confirmation instruction within the preset time period;

It should be noted that, when the safety confirmation command for the safety warning signal is not received within the preset time period, the system adjusts the signal strength according to the accumulated number of times of not receiving the confirmation command. This process is to ensure that the safety precaution signal is able to draw sufficient attention from the security personnel to take corresponding action. By storing the adjusted signal strength and related dangerous source information to a risk log database of the enterprise safety supervision platform, detailed data support can be provided for subsequent safety analysis and accident investigation. The mechanism not only improves the effectiveness of early warning, but also enhances the traceability of the system.

Specifically, the preset time period refers to a time interval for waiting for confirmation of the security personnel after the system sends the security early warning signal, and may be set to 10 minutes, for example. The safety confirmation instruction is confirmation information sent to the system by the early warning device or other modes after the safety personnel receive the early warning signal, and indicates that the safety personnel have received and are processing the early warning. The signal strength adjustment coefficient is a value determined based on the cumulative number of times the safety confirmation instruction is not received, and is used for adjusting the signal strength. For example, the signal strength adjustment factor may be increased by 0.2 each time an acknowledgement command is not received. The upper and lower values of the preset signal strength range refer to the signal strength range initially set by the system, and for example, the initial signal strength range may be 60 db to 80 db. The adjusted signal strength range is obtained by multiplying the upper and lower limit values of the preset signal strength range by the signal strength adjustment coefficients respectively, so as to ensure that the signal strength can be enhanced along with the increase of unacknowledged times. The risk log database of the enterprise safety supervision platform is used for storing historical data related to safety early warning, including information such as accumulated times, adjusted signal strength, time stamp of early warning execution and the like, so as to facilitate subsequent inquiry and analysis.

Preferably, the calculation of the signal strength adjustment coefficients may be based on a simple linear model. For example, the initial signal strength adjustment coefficient may be set to 1.0, and the coefficient is incremented by 0.2 each time the cumulative number of times no security confirmation instruction is received is incremented. Thus, if the system does not receive a safety confirmation instruction three times in succession, the signal strength adjustment coefficient will be increased to 1.6. When adjusting the signal intensity, the system multiplies the upper limit value and the lower limit value of the preset signal intensity range by the adjusted signal intensity adjustment coefficient respectively. For example, if the initial signal strength range is 60 db to 80 db, the adjusted signal strength range will become 96 db to 128 db, assuming an adjustment factor of 1.6.

Further, to ensure data integrity and traceability, the system will record the time stamp of each adjustment, the cumulative unacknowledged number and the corresponding adjusted signal strength in detail in the risk log database. The data can be queried and analyzed through a database management system, and decision support is provided for security management personnel.

The above embodiments of the present invention have the following advantageous effects:

As shown in fig. 2, a security early warning system for an enterprise hazard source according to some embodiments includes:

The data acquisition module 201 is configured to acquire a dangerous source monitoring data sequence and acquire a device state information sequence of an enterprise safety control system through a sensor network of an enterprise dangerous source area;

The anomaly detection module 202 is configured to perform anomaly detection on each hazard source monitoring data in the hazard source monitoring data sequence to obtain anomaly detection information;

A risk level generation module 203 configured to generate a risk level identification based on the device status information sequence and the abnormality detection information in response to the abnormality detection information satisfying a preset risk condition;

The early warning execution module 204 is configured to generate a corresponding safety early warning signal based on the danger level identifier, and send the safety early warning signal to an early warning device for early warning prompt, wherein the safety early warning signal is an early warning prompt signal sent by safety personnel in a danger source area of an enterprise.

It will be appreciated that the modules described in the security early warning system of the enterprise hazard correspond to the steps in the security early warning method of the enterprise hazard described with reference to fig. 1. Therefore, the operation, the characteristics and the beneficial effects described above for the safety early warning method of the enterprise hazard source are also applicable to the safety early warning system of the enterprise hazard source and the modules contained therein, and are not described herein.

Referring now to fig. 3, a schematic diagram of an electronic device 300 suitable for use in implementing some embodiments of the present invention is shown. The electronic device in some embodiments of the present invention may include, but is not limited to, mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), car terminals (e.g., car navigation terminals), and the like, and stationary terminals such as digital TVs, desktop computers, and the like. The terminal device shown in fig. 3 is only an example and should not impose any limitation on the functionality and scope of use of the embodiments of the present invention.

As shown in fig. 3, the electronic device 300 may include a processing means (e.g., a central processing unit, a graphics processor, etc.) 301 that may perform various suitable actions and processes in accordance with a program stored in a Read Only Memory (ROM) 302 or a program loaded from a storage means 308 into a Random Access Memory (RAM) 303. In the RAM 303, various programs and data required for the operation of the electronic apparatus 300 are also stored. The processing device 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 bus 304.

In general, devices may be connected to I/O interface 305 including input devices 306 such as a touch screen, touch pad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc., output devices 307 including a Liquid Crystal Display (LCD), speaker, vibrator, etc., storage devices 308 including, for example, magnetic tape, hard disk, etc., and communication devices 309. The communication means 309 may allow the electronic device 300 to communicate with other devices wirelessly or by wire to exchange data. While fig. 3 shows an electronic device 300 having various means, it is to be understood that not all of the illustrated means are required to be implemented or provided. More or fewer devices may be implemented or provided instead. Each block shown in fig. 3 may represent one device or a plurality of devices as needed.

Further, the storage medium according to the embodiments of the present application stores program instructions capable of implementing all the methods described above, where the program instructions may be stored in the storage medium in the form of a software product, and include several instructions to cause a computer device (which may be a personal computer, a server, or a network device, etc.) or a processor (processor) to perform all or part of the steps of the methods described in the embodiments of the present application. The storage medium includes a usb disk, a removable hard disk, a Read-Only Memory (ROM), a random-access Memory (RAM, random Access Memory), a magnetic disk, an optical disk, or other various media capable of storing program codes, or a terminal device such as a computer, a server, a mobile phone, a tablet, etc.

The above description is only illustrative of the few preferred embodiments of the present invention and of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the invention in the embodiments of the present invention is not limited to the specific combination of the above technical features, but also encompasses other technical features formed by any combination of the above technical features or their equivalents without departing from the spirit of the invention. Such as the above-described features, are replaced with features having similar functions (but not limited to the features disclosed in the embodiments of the present invention).

Claims

1. A safety early warning method of enterprise hazard sources comprises the following steps:

2. The method of claim 1, wherein the anomaly detection of each hazard monitoring data in the hazard monitoring data sequence to obtain anomaly detection information comprises anomaly detection of each hazard monitoring data in the hazard monitoring data sequence to generate an anomaly status identification sequence, wherein the anomaly status identification in the anomaly status identification sequence characterizes that the hazard is in a normal status, an anomaly status or a hazard status;

3. The method of claim 2, wherein the generating a hazard level identification based on the device status information sequence and the anomaly detection information comprises obtaining an environmental parameter detection value detected by an auxiliary sensor deployed in an enterprise hazard area, wherein the auxiliary sensor is pre-connected;

4. The method of claim 3, wherein prior to generating the corresponding safety precaution signal based on the hazard level identification, the method further comprises issuing a data calibration instruction to the auxiliary sensor for the auxiliary sensor to perform a parameter calibration operation for optimizing detection accuracy;

5. The method of claim 3, wherein prior to the generating a corresponding safety precaution signal based on the hazard level identification, the method further comprises generating device emergency control information based on the device status information sequence in response to determining that the hazard level identification is an identification that characterizes a secondary hazard, a tertiary hazard, a quaternary hazard, or a penta hazard;

6. The method of claim 5, wherein the generating a corresponding security early warning signal based on the hazard class identification and transmitting the security early warning signal to an early warning device for early warning prompting comprises performing the following security early warning interaction steps for the hazard class identification:

7. The method of claim 6, wherein the method further comprises:

the device code is a unique identifier of each sensor in the sensor network;

8. The method according to claim 3, wherein the acquiring the environmental parameter detection values detected by the auxiliary sensor deployed in the enterprise hazard area comprises synchronously acquiring a plurality of environmental parameter detection values of a preset type for a time period corresponding to the hazard monitoring data sequence by the auxiliary sensor, wherein the plurality of environmental parameter detection values of the preset type comprise a temperature detection value, a pressure detection value and a gas concentration detection value;

9. The method of claim 6, wherein adjusting the preset signal strength range in response to not receiving a safety confirmation instruction for the safety precaution signal within a preset time period to obtain an adjusted signal strength comprises determining a signal strength adjustment coefficient based on an accumulated number of times the safety confirmation instruction is not received within the preset time period;

10. A security early warning system for an enterprise hazard source, comprising: