CN113050478A - Method for monitoring and early warning operation state of transformer substation constructor - Google Patents
Method for monitoring and early warning operation state of transformer substation constructor Download PDFInfo
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Abstract
The invention belongs to the technical field of electric power. A method for monitoring and early warning the operation state of a transformer substation constructor is characterized by comprising the following steps: 1) preparing an intelligent Internet-based operating personnel safety state risk management and control system, 2) before operation starts, identifying the operating personnel by using a fingerprint identification sensor, detecting the physical condition of the operating personnel by using a breath alcohol concentration detection sensor and a blood pressure monitoring sensor, and detecting the mental state of the operating personnel by using a high-definition camera; 3) during the operation, the vital signs of the operator during the operation are monitored in real time through a heart rate monitoring sensor and a temperature sensor integrated on the wearable device; and monitoring and recording the geographical position information of the dispatched operators by using the bucket positioning system, and uploading the geographical position information to the management platform. The invention can monitor and early warn the safety state of the operating personnel.
Description
Technical Field
The invention belongs to the technical field of electric power, and particularly relates to a method for monitoring and early warning the operation state of a transformer substation constructor.
Background
The power grid operation is a work with high specialty and high risk, for example, the transmission and distribution site operation has the characteristics of a plurality of points, wide area, long wire, high altitude, complex terrain, bad natural environment and the like, so that the operation risk is high. Therefore, the grid operation has strict regulations on conditions of dispatched operators, and the specific details are specified in the national grid company enterprise standard Q/GDW1799.2-2013 'national grid company electric power safety work regulation', which is released and implemented in 2013, 11, 6.4 by the national grid company, and particularly the safety responsibility of the personnel listed in the 5.3.11 work ticket. The specific contents are as follows:
5.3.11.1 work ticket issuer: c) confirming whether the assigned work responsible persons and the staff of the work shifts are appropriate and sufficient;
5.3.11.2 job principal (guardian): f) paying attention to whether the physical condition and the mental state of the staff member show abnormal signs or not and whether the staff changes properly or not;
5.3.11.5 staff members: b) obey the command of the working responsible person (guardian) and the special custodian, strictly obey the regulation and the labor discipline, work in a determined working range, be responsible for the behavior of the person in the work and care about the work safety.
The "proper", "physical condition", "mental state" and "concerned" in the regulations are the requirements for the safety state of the operators, but the basic conditions are judged by subjective people at present, scientific and accurate diagnosis basis is lacked, and hidden dangers are left in the safety production.
At present, the research on the safety state risk management and control system of the operating personnel is still in a starting stage, a system for comprehensively monitoring the health and mental states of the operating personnel in real time is not available, and an effective management platform is also lacked.
The invention applies advanced technologies such as intelligent internet technology, artificial intelligence technology and the like, builds a set of operation personnel safety state risk management and control system based on the intelligent internet, actively monitors the safety state of operation personnel, and mainly solves the following existing difficulties:
1. before the operation starts, the working responsible person is difficult to comprehensively and objectively acquire the real-time state of the working person
In view of the high risk of the grid work, it is necessary to ensure the physical condition and mental state of the personnel before the work. At present, the working responsible person carries out partial and subjective judgment on the state of the working person by manual modes such as observation, inquiry and the like before the operation, and the comprehensive and objective examination on physical indexes such as the breath alcohol concentration, the heart rate, the blood pressure, the body temperature, the mental state and the like of the working person is difficult. If the operator is put into operation in a poor state, not only is the operating efficiency reduced, but also the operating risk is increased.
2. In the operation process, the mental state and physical condition of the operator lack real-time accurate monitoring and early warning
The power grid operation is often performed under the harsh condition of the natural environment, and generally works under high-risk environments such as high-voltage equipment inspection, cable trench inspection, climbing and the like. In order to ensure the personal safety of the operators, the real-time monitoring and recording of the mental state and physical condition of the operators in the operation process are very important. At present, a working responsible person (guardian) is required to pay attention to whether the mental state and physical condition of a working member (operator) show abnormal signs, and the attention means mainly adopts only timing observation, key observation and the like, and means lack real-time performance and early warning of risk runaway, so that the personal safety of the operator cannot be guaranteed.
3. On the operation management, the existing operation risk management and control platform has a blind area, and can not carry out effective analysis and early warning on the safety state of an operator.
In the operation of the power grid, related supervision mechanisms not only pay attention to the safety condition of the operation process, but also pay more attention to the safety state of the operation personnel, namely 'operation safety and personnel safety'. Although the management platform of the operation safety risk management and control system is presented at present, the effective management of the operation process risk is realized, but the integration and monitoring functions of the platform on the physical condition, the mental state information and the geographic position information of the operation personnel are not complete, and the effective analysis, early warning and safety state of the operation personnel can not be comprehensively and efficiently carried out
Disclosure of Invention
The invention aims to provide a method for monitoring and early warning the operation state of a transformer substation constructor, which can monitor and early warn the safety state of the constructor.
In order to realize the purpose of the invention, the technical scheme adopted by the invention is as follows: a method for monitoring and early warning the operation state of a transformer substation constructor is characterized by comprising the following steps:
1) the intelligent Internet-based operating personnel safety state risk management and control system comprises a breath alcohol concentration detection sensor, a blood pressure monitoring sensor, a fingerprint identification sensor, a high-definition camera, a temperature sensor, a heart rate monitoring sensor, a Beidou positioning system, intelligent terminal equipment, wearable equipment, a server and a management platform; the management platform comprises a computer and a mobile phone, a PC end webpage client built based on a B/S framework is installed on the computer, and a mobile phone APP developed based on Android is installed on the mobile phone; the intelligent terminal equipment comprises an ARM microprocessor based on a Linux operating system;
the breath alcohol concentration detection sensor, the blood pressure monitoring sensor, the fingerprint identification sensor and the high-definition camera are respectively connected with the input end of the intelligent terminal equipment through data lines; the temperature sensor, the heart rate monitoring sensor, the Beidou positioning system and the embedded processor are respectively installed on the wearable device in an embedded mode, and the temperature sensor, the heart rate monitoring sensor and the Beidou positioning system are respectively connected with the input end of the embedded processor; the ARM microprocessor of the intelligent terminal device and the embedded processor on the wearable device are in communication connection with the server through network communication respectively, and the server is in communication connection with the computer and the mobile phone through the network communication respectively;
2) before the operation is started, identifying the operator by using a fingerprint identification sensor, detecting the physical condition of the operator by using a breath alcohol concentration detection sensor and a blood pressure monitoring sensor, and detecting the mental state of the operator by using a high-definition camera; if the detection is abnormal, the intelligent terminal gives an alarm and informs a management platform, and further informs a manager to take corresponding measures;
3) during the operation, the vital signs of the operator during the operation are monitored in real time through a heart rate monitoring sensor and a temperature sensor integrated on the wearable device; when vital signs of workers are abnormal, the wearable equipment gives an alarm, and uploads alarm information to the server to notify management platform workers, and meanwhile, the server sends messages to mobile phone APPs of workers and other staff members to notify the workers to take corresponding measures; monitoring and recording the geographical position information of the dispatched operators by using a bucket positioning system, and uploading the geographical position information to a management platform; when finding that the operation track of the operator has a large deviation from the working place, the manager communicates through the mobile phone APP to inquire about relevant conditions in time.
The intelligent internet-based operating personnel safety state risk management and control system further comprises an air pressure sensor, wherein the air pressure sensor is embedded in the wearable device and connected with the input end of the embedded processor; the air pressure sensor monitors and records the altitude information of the dispatched operators and uploads the information to the management platform.
The intelligent terminal device and the embedded processor on the wearable device upload physical conditions, mental state information and geographic position information of operating personnel to the server through network communication, the server transmits the information to the PC end webpage client built based on the B/S framework and the mobile phone APP developed based on the Android through the network communication, and the PC end webpage client built based on the B/S framework is displayed to a visual operation interface of a manager through a webpage.
The innovation points of the invention are as follows:
1. the mental state and physical condition monitoring and early warning of the operating personnel are introduced into the power grid operation
The physical condition and mental state of the operator before operation are detected through various sensors integrated on the intelligent terminal and fatigue identification technology. In the operation process, the measured data such as body temperature, heart rate and geographic position information are uploaded to the management platform and the mobile phone APP through wearing wearable equipment (such as a bracelet). The acquired data is processed and analyzed according to medical knowledge and related algorithms, and early warning can be performed if abnormality occurs or abnormal trends exist.
2. Risk management and control for applying intelligent internet technology to safety state of operating personnel
Various sensors used for detection form a local sensing network, data on the local sensing network are converged to embedded equipment to form local information nodes, the nodes distributed at different positions finally gather safety state data of operating personnel to a Web server through an intelligent Internet, and a front-end webpage client and a mobile phone APP display data information of the Web server through calling of the Web server to form a whole intelligent Internet system.
3. Platform for establishing real-time supervision on safety state of operator
A PC end webpage client built based on the B/S framework and a mobile phone APP developed based on the Android jointly form a management platform with complete functions, and real-time supervision of the mental state and the physical condition of an operator is achieved. The webpage client built based on the B/S framework can enter the management platform only by logging in a corresponding website through a browser without installing a specific application program on a computer. The management platform integrates the safety state information of the operating personnel uploaded in the server and displays the physical condition, mental state information, alarm information and the like of the operating personnel on the webpage client in real time. The safety state alarm information and the weather early warning information pushed by the server can be sent to a working responsible person and a manager in real time based on the mobile phone APP developed by the Android.
The invention has the beneficial effects that: the invention can monitor and early warn the safety state of the operating personnel.
1. The method and the system can comprehensively and objectively check various physical indexes of the operator before operation, such as the breath alcohol concentration, the heart rate, the blood pressure, the body temperature, the mental state and the like, ensure the appropriateness of the assigned operator (staff of a worker), ensure the working efficiency and ensure the operation safety;
2. the method and the system can monitor and early warn the mental state and the physical state of the operator in real time in the operation process, particularly when the operator patrols lines and ascends for operation in areas with severe natural environments, the physical state and the mental state of the operator in the monitoring work are not abnormal, and the alarm can be given and the quick and efficient processing can be carried out even if the operator is abnormal (the personal safety of the operator can be effectively ensured);
3. the method and the system thereof comprehensively monitor the safety state of the personnel before and during the operation in real time, reduce the incidence rate of safety accidents, improve the rescue speed after the accidents occur, and reduce the economic and property loss to the minimum while ensuring the personal safety;
4. the method and the system thereof can effectively analyze and early warn the self safety state of the operating personnel, and realize the real-time supervision of the safety state data of the personnel;
5. the human and cultural care of the power enterprise is embodied by monitoring the physical and mental health of the operating personnel, and the relationship between the enterprise and the personnel is promoted; through the mutual reminding mechanism of the health state and the mental condition abnormal information of the mobile phone APP of the operating personnel, the team cohesion among the operating personnel is improved, and the working efficiency is indirectly improved.
Drawings
FIG. 1 is a schematic representation of the process of the present invention.
Fig. 2 is a schematic structural diagram of the intelligent internet-based worker safety state risk management and control system.
Reference numbers in the figures: 1-sensor information acquisition layer, 2-embedded equipment, 3-server layer and 4-client layer (management platform).
Detailed Description
As shown in fig. 1 and 2, a method for monitoring and warning the operation state of a transformer substation constructor (i.e., a construction operator) includes the following steps:
1) prepare operation personnel safety state risk management and control system based on intelligence internet, including breathing alcohol concentration detection sensor, blood pressure monitoring sensor, fingerprint identification sensor, high definition digtal camera, temperature sensor, heart rate monitoring sensor, big dipper positioning system (GPS positioning device), baroceptor (information such as altitude monitors and takes notes), intelligent terminal equipment, wearing equipment (if: bracelet), server, management platform; the management platform comprises a computer (PC end) and a mobile phone, wherein a PC end webpage client (B/S architecture webpage client for short) built based on a B/S architecture is installed on the computer, and a mobile phone APP developed based on Android is installed on the mobile phone; the intelligent terminal equipment comprises an ARM microprocessor based on a Linux operating system;
the breath alcohol concentration detection sensor, the blood pressure monitoring sensor, the fingerprint identification sensor and the high-definition camera are respectively connected with the input end of the intelligent terminal equipment through data lines; the temperature sensor, the heart rate monitoring sensor, the Beidou positioning system, the embedded processor and the air pressure sensor are respectively installed on the wearable device (such as a bracelet) in an embedded mode, and the temperature sensor, the heart rate monitoring sensor, the Beidou positioning system and the air pressure sensor are respectively connected with the input end of the embedded processor; the ARM microprocessor of the intelligent terminal device and the embedded processor on the wearable device are in communication connection with the server through network communication respectively, and the server is in communication connection with a computer (PC end) and a mobile phone through network communication respectively;
the intelligent terminal equipment and the embedded processor on the wearable equipment upload physical conditions, mental state information and geographic position information of operators to a server (Web server) through network communication, the server transmits the information to a PC (personal computer) end webpage client built based on a B/S (browser/Server) framework and a mobile phone APP developed based on Android through the network communication, and the PC end webpage client built based on the B/S framework is presented to a visual operation interface of a manager through a webpage;
2) before the operation is started, identifying the operator by using a fingerprint identification sensor, detecting the physical condition of the operator by using a breath alcohol concentration detection sensor and a blood pressure monitoring sensor, and detecting the mental state of the operator by using a high-definition camera; if the detection is abnormal, the intelligent terminal gives an alarm and informs a management platform, and further informs a manager to take corresponding measures;
3) in the operation process, the vital signs of the operator during operation are monitored in real time through a heart rate monitoring sensor and a temperature sensor integrated on the wearable device (such as an intelligent bracelet); when vital signs of workers are abnormal, wearable equipment (such as an intelligent bracelet) gives an alarm, alarm information is uploaded to a server to inform management platform workers, and meanwhile, the server sends messages to mobile phone APPs of workers and other workers and informs the workers to take corresponding measures; monitoring and recording geographical position information (motion trail and altitude) of a dispatched operator by using a bucket positioning system (GPS positioning equipment) and an air pressure sensor, and uploading the geographical position information to a management platform; when finding that the operation track of the operator has a large deviation from the working place, the manager communicates through the mobile phone APP to inquire about relevant conditions in time.
A management platform: the PC end and the mobile phone APP can achieve data synchronization, the PC end is a strong point made by the system, can retrieve, modify and read any collected monitoring data, can also send early warning information and transmit part of data with the mobile phone, and certainly, the mobile phone can also transmit data with the management platform and perform mutual data transmission.
The intelligent terminal and the wearing equipment (such as a bracelet) of the system are developed based on an embedded technology. The embedded technology is a special computer with strict requirements on functions, cost, volume, power consumption, etc., based on computer technology, with an embedded system as an application center (ledeb. embedded computer technology and its applications [ J ]. computer engineering, 1998,24(10): 7-11.). The embedded system integrates application software and hardware, mainly comprises an embedded processor, related supporting hardware, an embedded operating system and an application software system, has the characteristics of high response speed, small software code, high automation and the like, and is suitable for various occasions. The embedded device widely used mainly comprises an ARM processor and a Linux. Embedded technology is currently used more and more extensively in grid-related operations. At present, the application of the embedded technology in the power system includes the aspects of automation, microcomputer protection, and electric charge settlement, and has already made more progress in some fields, and with the development of the embedded technology, the relevant departments of the country and researchers of the embedded technology should further develop the embedded technology on the basis of increasing the application strength of the embedded technology in the existing power system, so as to not only improve the working efficiency of the whole power system, but also promote the development of the science and technology of the country (ludongmei.
The intelligent terminal device and the wearable device (such as a bracelet) are in embedded type, different types of data information collected between the intelligent terminal device and the wearable device are subjected to data storage and processing through the data processor and are uploaded to the management platform, and of course, many working sites exist, so that many users of the wearable device can appear, and many intelligent terminal devices also exist.
In order to solve the problem of risk control of the safety state of an operator, the invention provides an intelligent Internet-based risk control system for the safety state of the operator. The system can comprehensively and objectively check various physical indexes and mental states of the operating personnel such as breath alcohol concentration, heart rate, blood pressure, body temperature and the like by using the intelligent terminal equipment and the wearable equipment before the operation process. The mental state and the physical condition of the operating personnel are accurately monitored and early warned in real time through the wearable equipment in the operating process. In the aspect of operation management, monitored data and geographical position information are uploaded to a server in a mode that a sensor information acquisition layer (detection equipment) is communicated with an intelligent internet, a manager masters information such as a safety state and a geographical position of an operator through a management platform (a PC (personal computer) end webpage client and a mobile phone APP (application) which are built based on a B/S (browser/server) framework), and the operator acquires the safety state information through the mobile phone APP. The system can guarantee the personal safety of the operating personnel, improve the management efficiency of the operating personnel and reduce the occurrence rate of safety events.
As shown in fig. 1, the method includes monitoring the safety state of the personnel before the operation starts and during the operation, and building a management platform, specifically:
1. intelligent terminal
The intelligent terminal solves the problem by aiming at the current situation that a working person in charge cannot comprehensively and objectively acquire the real-time state of the working person before the operation starts and by using the intelligent terminal. The fingerprint identification sensor is used for identifying the operating personnel, and the breathing alcohol concentration, the blood pressure sensor and the high-definition camera which are integrated on the intelligent terminal are used for detecting the physical condition and the mental state of the operating personnel. The body condition of the operating personnel is judged by applying relevant medical indexes in the detection process, and a human face fatigue detection technology (high-definition camera) is innovatively introduced to detect whether the operating personnel is in a fatigue state (mental state is detected). If the detection is abnormal, the intelligent terminal gives an alarm and informs the management platform, and further informs the management personnel to take corresponding measures.
2. Wearable device
Aiming at the current situation that the mental state and physical condition of an operator lack real-time accurate monitoring and early warning in the operation process, a new mode of monitoring and early warning by using wearable equipment is researched. The vital signs of the operating personnel during operation are monitored in real time through the heart rate and the temperature sensors integrated on the wearable device (such as an intelligent bracelet). When the vital sign of an operator appears unusually, the wearing equipment (like intelligent bracelet) reports to the police to upload alarm information to server, notify management platform personnel, the server sends the message to the cell-phone APP of work person in charge and other work class members simultaneously, notifies it to take corresponding measure. Through integrated GPS positioning device and baroceptor on the wearing formula equipment (like intelligent bracelet), monitor and the record to information such as movement track, height above sea level of dispatching the operation personnel to upload to management platform. When finding that the operation track of the operator has larger deviation with the working place, the manager can communicate with the mobile phone APP to inquire about relevant conditions in time. Meanwhile, the system can monitor and remind the local weather condition in real time through the geographic position information uploaded by the wearable device (such as an intelligent bracelet), and remind the working responsible personnel and the management personnel in real time when severe weather occurs, and provide corresponding measures.
3. Management platform
Aiming at the operation management, the existing operation risk management and control platform has a blind area, the effective analysis and early warning current situation of the safety state of an operator can not be carried out, and a new mode built by the efficient management platform is researched and planned overall. The PC end of the management platform adopts an advanced B/S framework, the mobile phone end adopts an application program developed based on Android, and the embedded equipment (intelligent terminal and wearable equipment) uploads the physical condition, mental state information and geographical position information of an operator to the Web server through the network and then presents the information to a visual operation interface of a manager through a webpage. The systems composed of the sensors and the embedded devices are distributed in each branch company, and form an intelligent internet system together with a management platform (a B/S architecture webpage client and a mobile phone APP), so that the management platform can be logged in under the condition of a network. And an interface compatible with the existing platform is reserved, so that the integration of the platforms is facilitated. The platform utilizes the data uploaded in the server in real time to carry out effective analysis and early warning on the safety state of the operator through a corresponding algorithm.
The intelligent terminal equipment and the wearing equipment (such as a bracelet) of the system are developed based on an embedded technology. The embedded technology is a special computer with strict requirements on functions, cost, volume, power consumption, etc., based on computer technology, with an embedded system as an application center (reference: Lidelyuan embedded computer technology and its application [ J ]. computer engineering, 1998,24(10): 7-11). The embedded system integrates application software and hardware, mainly comprises an embedded processor, related supporting hardware, an embedded operating system and an application software system, has the characteristics of high response speed, small software code, high automation and the like, and is suitable for various occasions. The embedded device widely used mainly comprises an ARM processor and a Linux. Embedded technology is currently used more and more extensively in grid-related operations. A management platform of an operating personnel state risk management and control system based on the intelligent Internet is developed based on a B/S architecture. The B/S architecture is collectively referred to as Browser/Server, i.e., Browser (Browser) \ Server (Server) architecture, Browser refers to a Web Browser. The system of the B/S framework does not need to be specially installed, and only a Web browser is needed. The B/S architecture has the following advantages: the client does not need to be installed, and only a Web browser is needed. The B/S framework can be directly placed on a wide area network, the aim of accessing multiple clients is achieved through certain authority control, and the interactivity is strong. The B/S framework can be used for upgrading the server without upgrading a plurality of clients. The version can be updated at any time without the need for a user to re-download. The B/S architecture is an upgrade or improvement of the C/S architecture in the view of some developers. Compared with the C/S architecture, the user interface of the B/S architecture is realized by the browser, the browser interface only bears a small amount of logical operation, and most of instruction logic is completed by the server. In the mode, the operation load of the browser interface is reduced, and system maintenance and upgrading and reconstruction are facilitated. Developers develop application software based on the B/S architecture on the local area network, and the application software is connected to the database through the Internet. In addition, by using the unique property of the Internet, different persons in different places can access the system through the Internet access system at different times { the structural analysis of Huiwen, B \ S and C \ S [ J ]. electronic technology and software engineering, 2017(5) }. Currently, the B/S architecture is applied to a power grid related management platform.
The face recognition system mainly comprises four components, which are respectively: the method comprises the steps of face image acquisition and detection, face image preprocessing, face image AI segmentation, feature extraction, matching and identification. The mainstream face detection method adopts an Adaboost learning algorithm based on the above features. In the process of face detection, an Adaboost algorithm is used for picking out some rectangular features (weak classifiers) which can represent the face most, the weak classifiers are constructed into a strong classifier according to a weighted voting mode, and then a plurality of strong classifiers obtained by training are connected in series to form a cascade-structured stacked classifier, so that the detection speed of the classifier is effectively improved. The face image preprocessing comprises light compensation, gray level transformation, histogram equalization, normalization, geometric correction, filtering, sharpening and the like of the face image. The face image feature extraction mainly uses a template matching method to obtain feature data which is helpful for face classification according to the shape description of face organs and the distance characteristics between the face organs, and the feature components of the feature data generally comprise Euclidean distance, curvature, angle and the like between feature points. The human face is composed of parts such as eyes, a nose, a mouth, a chin and the like, and geometric description of the parts and the structural relationship among the parts can be used as important features for recognizing the human face. Matching and identifying the face image: and searching and matching the extracted feature data of the face image with a feature template stored in a database through an AI segmentation image model, and outputting a result obtained by matching when the similarity exceeds the threshold by setting a threshold. The fatigue recognition technology mainly extracts the characteristics related to the positioning and fatigue of human eyes, irises and mouths and judges the conditions of mouth angle, canthus and eyelid droop. In addition, in clinical experiments, the heart rate signals contain rich human body physiological information, and characteristic indexes reflecting the health state of the human body can be obtained through analysis and processing of the heart rate information, so that diagnosis and degree grading of mental fatigue are realized. Therefore, the fatigue degree can be comprehensively judged in a mode of combining fatigue recognition technology and heart rate monitoring.
Android-based mobile terminal APP development technology: android Applications (APP) are written in the Java language. Compiled bytecode, as well as other data and resource files required by the application, are bound together by the aapt tool, called Android package, which is an archive file with an apk suffix. This file is also the file that the user downloads to their device. All code is in a single apk file, constituting an "application". The main development processes comprise demand analysis, prototype design, UI design, development, test debugging and APP release.
The sensing and detecting technology, the artificial intelligence technology and the intelligent internet communication technology are mature technologies and are widely applied to various fields of industrial control, electromechanical integration and human life.
The intelligent internet-based worker safety state risk management and control system adopts a layered system architecture and is divided into a sensor information acquisition layer 1, an embedded equipment layer 2, a server layer 3 and a client layer 4. The system architecture is shown in fig. 2.
The sensor information acquisition layer mainly comprises various hardware sensors for acquiring data, and signals such as fingerprint, human face characteristics, body temperature, heart rate, breath alcohol concentration, blood pressure and the like acquired by the sensors are converted into electric signals which can be identified by the microprocessor; the embedded device layer can be subdivided into intelligent terminal equipment and wearable equipment, the intelligent terminal equipment mainly comprises a Linux operating system, an ARM microprocessor, a screen and the like, and mainly realizes the functions of processing sensor data, displaying a man-machine interaction interface, uploading data information to a Web server and the like of the intelligent terminal; the wearable device mainly comprises a bracelet and is used for monitoring health information and geographical position information of an operator in real time; the server layer mainly realizes the function of a database by the Web server layer, and stores the data uploaded by the embedded equipment for the webpage client to read. The client layer is composed of a B/S framework webpage client layer and a mobile phone APP developed based on Android and used for achieving the management platform, management personnel can log in corresponding webpages through a browser to conduct management operation, and operating personnel can check state information of the operating personnel or the operating personnel through the mobile phone APP in real time. The intelligent Internet-based worker safety state risk management and control system mainly develops research from the following aspects:
1. aiming at the current situation that a working person in charge cannot comprehensively and objectively acquire the real-time state of the working person before the operation starts, a new mode for solving the problem by using an intelligent terminal is researched. The body condition and mental state of the operating personnel are detected by utilizing the temperature, the heart rate, the breath alcohol concentration, the blood pressure sensor and the high-definition camera which are integrated on the embedded equipment layer (the intelligent terminal and the wearable equipment). In the detection process, the body condition of the operator is judged by using relevant medical indexes, and whether the operator is in a tired state or not is detected by using a face tiredness detection technology. And if the abnormality is detected, the intelligent terminal gives an alarm and informs the management platform to prohibit the intelligent terminal from participating in subsequent operation. The method can objectively check whether the operator meets the requirement, and has high reliability. The research content can be subdivided into the following aspects:
(1) the camera collects and processes the face information;
(2) the method comprises the following steps of researching the problems of debugging and accessing of a body temperature sensor, a heart rate detection sensor, a breath alcohol concentration sensor and a blood pressure monitoring sensor into embedded equipment (an intelligent terminal);
(3) the computer image processing technology is applied to research the realization of the fatigue recognition algorithm.
(4) Visualization allows the study of human-computer interaction interfaces: the functions of data display, networking and the like are completed through the research on screen programming, communication and UI design on the embedded equipment (intelligent terminal).
(5) The embedded equipment (intelligent terminal) Web server realizes the network communication function based on the research of Socket programming under a TCP/IP protocol;
2. aiming at the current situation that the mental state and physical condition of an operator lack real-time accurate monitoring and early warning in the operation process, a new mode of monitoring and early warning by using wearable equipment is researched. Carry out real-time supervision to operation personnel's security state through integrated rhythm of the heart, temperature, GPS equipment, baroceptor etc. on the wearing equipment (like intelligent bracelet). The research content can be subdivided into the following aspects:
(1) research on the processing of the acquired data on the wearable device (bracelet);
(2) research on alarm measures includes that when vital signs of workers are abnormal, wearable equipment (such as an intelligent bracelet) alarms, alarm information is uploaded to a server to notify management platform workers, and meanwhile the server sends a message to a mobile phone APP of the workers together to notify the workers of taking corresponding measures;
(3) to the research of operation personnel movement track, through integrated GPS positioning device and baroceptor on the wearing equipment (like intelligent bracelet) to the information such as movement track, height above sea level of dispatching the operation personnel monitor and the record to upload to management platform. When finding that the operation track of the operator has larger deviation with the work place, the manager can communicate through the mobile phone APP to inquire about relevant conditions in time;
(4) to the research of early warning process under bad weather, the geographical position information that system accessible wearing equipment (like intelligent bracelet) uploaded in real time carries out real-time supervision and warning to local weather condition, reminds the operating personnel in real time when bad weather appears to provide corresponding counter-measure
3. Aiming at the current situation that the existing operation risk management and control platform has a blind area and cannot carry out effective analysis and early warning on the safety state of an operator, a new mode built by the efficient management platform is researched and planned. The management platform Web page client side adopts an advanced B/S framework, and embedded equipment (intelligent terminals and wearable equipment) uploads physical condition and mental state information, identity information and geographical position information of operating personnel to a Web server through a network and then presents the information to a visual operation interface of a manager through a Web page. The mobile phone end APP adopts an application program developed based on Android, so that an operator can obtain push information of the management platform in real time through the APP. Content can be subdivided into the following:
(1) building a management platform based on a B/S architecture, wherein a manager can log in the management platform to operate as long as a network exists;
(2) the design and research work of the management and platform webpage UI is presented to a visual operation interface of a manager in a webpage form by using JavaScript;
(3) communication between a management platform webpage and a server is completed by researching an application layer http protocol, so that safety state data of an operator are obtained;
(4) and developing mobile terminal APP based on Android.
Claims (3)
1. A method for monitoring and early warning the operation state of a transformer substation constructor is characterized by comprising the following steps:
1) the intelligent Internet-based operating personnel safety state risk management and control system comprises a breath alcohol concentration detection sensor, a blood pressure monitoring sensor, a fingerprint identification sensor, a high-definition camera, a temperature sensor, a heart rate monitoring sensor, a Beidou positioning system, intelligent terminal equipment, wearable equipment, a server and a management platform; the management platform comprises a computer and a mobile phone, a PC end webpage client built based on a B/S framework is installed on the computer, and a mobile phone APP developed based on Android is installed on the mobile phone; the intelligent terminal equipment comprises an ARM microprocessor based on a Linux operating system;
the breath alcohol concentration detection sensor, the blood pressure monitoring sensor, the fingerprint identification sensor and the high-definition camera are respectively connected with the input end of the intelligent terminal equipment through data lines; the temperature sensor, the heart rate monitoring sensor, the Beidou positioning system and the embedded processor are respectively installed on the wearable device in an embedded mode, and the temperature sensor, the heart rate monitoring sensor and the Beidou positioning system are respectively connected with the input end of the embedded processor; the ARM microprocessor of the intelligent terminal device and the embedded processor on the wearable device are in communication connection with the server through network communication respectively, and the server is in communication connection with the computer and the mobile phone through the network communication respectively;
2) before the operation is started, identifying the operator by using a fingerprint identification sensor, detecting the physical condition of the operator by using a breath alcohol concentration detection sensor and a blood pressure monitoring sensor, and detecting the mental state of the operator by using a high-definition camera; if the detection is abnormal, the intelligent terminal gives an alarm and informs a management platform, and further informs a manager to take corresponding measures;
3) during the operation, the vital signs of the operator during the operation are monitored in real time through a heart rate monitoring sensor and a temperature sensor integrated on the wearable device; when vital signs of workers are abnormal, the wearable equipment gives an alarm, and uploads alarm information to the server to notify management platform workers, and meanwhile, the server sends messages to mobile phone APPs of workers and other staff members to notify the workers to take corresponding measures; monitoring and recording the geographical position information of the dispatched operators by using a bucket positioning system, and uploading the geographical position information to a management platform; when finding that the operation track of the operator has a large deviation from the working place, the manager communicates through the mobile phone APP to inquire about relevant conditions in time.
2. The method for monitoring and early warning the operation state of the constructor of the transformer substation according to claim 1, which is characterized in that: the intelligent internet-based operating personnel safety state risk management and control system further comprises an air pressure sensor, wherein the air pressure sensor is embedded in the wearable device and connected with the input end of the embedded processor; the air pressure sensor monitors and records the altitude information of the dispatched operators and uploads the information to the management platform.
3. The method for monitoring and early warning the operation state of the constructor of the transformer substation according to claim 1, which is characterized in that: the intelligent terminal device and the embedded processor on the wearable device upload physical conditions, mental state information and geographic position information of operating personnel to the server through network communication, the server transmits the information to the PC end webpage client built based on the B/S framework and the mobile phone APP developed based on the Android through the network communication, and the PC end webpage client built based on the B/S framework is displayed to a visual operation interface of a manager through a webpage.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113507653A (en) * | 2021-07-07 | 2021-10-15 | 中国电建集团河北省电力勘测设计研究院有限公司 | Power plant booster station electric five-prevention system and method based on intelligent identification |
| CN113591577A (en) * | 2021-06-30 | 2021-11-02 | 安徽省国维通信工程有限责任公司 | Artificial intelligence video image detecting system in communication engineering |
| CN114190925A (en) * | 2021-11-23 | 2022-03-18 | 首都体育学院 | Motion state risk detection system and method |
| CN117196314A (en) * | 2023-09-26 | 2023-12-08 | 广州市汇源通信建设监理有限公司 | Building construction safety monitoring system and method based on Internet of things |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113591577A (en) * | 2021-06-30 | 2021-11-02 | 安徽省国维通信工程有限责任公司 | Artificial intelligence video image detecting system in communication engineering |
| CN113507653A (en) * | 2021-07-07 | 2021-10-15 | 中国电建集团河北省电力勘测设计研究院有限公司 | Power plant booster station electric five-prevention system and method based on intelligent identification |
| CN113507653B (en) * | 2021-07-07 | 2023-09-26 | 中国电建集团河北省电力勘测设计研究院有限公司 | Intelligent identification-based electric five-prevention system and method for booster station of power plant |
| CN114190925A (en) * | 2021-11-23 | 2022-03-18 | 首都体育学院 | Motion state risk detection system and method |
| CN117196314A (en) * | 2023-09-26 | 2023-12-08 | 广州市汇源通信建设监理有限公司 | Building construction safety monitoring system and method based on Internet of things |
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