Method for quickly positioning substation personnel

Abstract

The invention relates to the technical field of power system transformer substation safety management, in particular to a transformer substation personnel rapid positioning method which comprises the following steps: step 1, arranging various types of sensors in a key area of a transformer substation, including an infrared sensor, an ultrasonic sensor, an optical sensor and a floor with a gravity sensor, a cross monitoring network is formed; 2, data preprocessing: carrying out noise filtering and signal enhancement processing on the data collected by each sensor so as to improve the data quality; and step 3, carrying out fusion processing on the preprocessed data collected by each sensor by adopting a machine learning algorithm to realize accurate positioning. Through the gravity sensor and the LED light bars (red light and green light) embedded in the floor, the system not only can accurately detect and indicate the position of a person, but also can dynamically display a path of no passing or safe evacuation.

Description

Technical Field

[0001] The invention relates to the technical field of power system substation safety management, and in particular to a method for quickly locating substation personnel. Background Art

[0002] With the rapid development of the power industry, the safety management of substations has received increasing attention. Existing personnel positioning technologies such as RFID and Wi-Fi positioning have certain limitations, such as low positioning accuracy and high equipment costs. Therefore, a positioning method that can provide higher accuracy, lower cost and is easy to implement is needed to improve the safety management efficiency of substations.

[0003] For example, an adaptive positioning method and system for indoor personnel in a substation proposed in application number CN202210586957.3 uses wearing tags for positioning. However, this positioning method still has certain problems, such as being affected by the transmitted signal.

[0004] Therefore, we propose a method for rapid positioning of substation personnel in order to solve the above problems. Summary of the invention

[0005] The purpose of the present invention is to provide a method for quickly locating personnel in a substation to solve the current market problems raised by the above background technology.

[0006] To achieve the above object, the present invention provides the following technical solution: a method for quickly locating personnel in a substation, comprising the following steps:

[0007] Step 1: Arrange various types of sensors in key areas of the substation, including infrared sensors, ultrasonic sensors, optical sensors, and floors with gravity sensors to form a cross-monitoring network;

[0008] Step 2: Data preprocessing: the data collected by each sensor is subjected to noise filtering and signal enhancement processing to improve data quality;

[0009] Step 3: Use machine learning algorithms to fuse the pre-processed data collected by each sensor to achieve precise positioning;

[0010] Step 4: Calculate the personnel's location in real time based on the fused data, and provide real-time location information to the management personnel through the user interface;

[0011] Step 5: The system dynamically adjusts the sensor working state according to the personnel position to optimize system performance;

[0012] Step 6: When the system detects that a person has entered a dangerous area or an accident has occurred, it automatically triggers an alarm and calculates the shortest evacuation route;

[0013] Step 7: Use the floor with gravity sensors to monitor the weight changes of people, so as to quickly determine the location of people, and simulate the walking route of people through the sequence of weight changes;

[0014] Furthermore, the arrangement of the various types of sensors in step 1 is optimized according to the specific geographical and structural characteristics of the substation to ensure full coverage of key areas without blind spots.

[0015] Furthermore, the data preprocessing in step 2 includes using digital filtering technology to remove environmental noise and using an enhancement algorithm to improve weak signals.

[0016] Furthermore, the machine learning algorithm in step three includes but is not limited to support vector machine (SVM), random forest (RF) or deep learning network, which is used to improve the accuracy and efficiency of data fusion.

[0017] Furthermore, the real-time location information in step 4 can display the location of the personnel in a graphical interface and provide a historical trajectory query function.

[0018] Furthermore, adjusting the working state of the sensor in step five includes but is not limited to adjusting the sensing range, scanning frequency and power output of the sensor to adapt to different environmental conditions and save energy.

[0019] Furthermore, the floor surface with the gravity sensor is also provided with a green light and a red light.

[0020] Furthermore, in an emergency, a green light provided on the floor surface with a gravity sensor instructs personnel to quickly move to a safe area.

[0021] Furthermore, a red light provided on the floor surface of the gravity sensor will light up in unsafe or prohibited areas, instructing personnel to stop moving forward or change routes.

[0022] Compared with the prior art, the present invention has the following beneficial effects:

[0023] 1. The present invention can realize high-precision real-time positioning of personnel in the substation by integrating infrared sensors, ultrasonic sensors, optical sensors and gravity sensing floor sensing technologies. This multi-sensor fusion method is more accurate than the traditional single sensor system, reduces false alarms and missed alarms, and thus significantly improves the reliability of the monitoring system.

[0024] 2. Through the gravity sensor and LED light bar (red and green) embedded in the floor, the system can not only accurately detect and indicate the location of personnel, but also dynamically display the prohibited passage or safe evacuation path. This function is particularly important in emergency situations, such as fire, electrical failure, etc., and can promptly guide personnel to evacuate to a safe area quickly, effectively avoiding or reducing personal injuries caused by accidents.

[0025] 3. The intelligent sensing and dynamic adjustment functions of this system enable the sensors and warning systems in the relevant areas to be activated only when human activity is detected, which not only improves the system's response speed but also significantly reduces energy consumption. For example, areas during non-working hours or without human activity can automatically switch to low-power mode, thus achieving a greener and more economical operation.

[0026] 3. In an emergency, the system can calculate and indicate the shortest and safest evacuation route in real time. The green lights on the floor light up in sequence according to the evacuation path, intuitively guiding people to move quickly to the safe exit. This intuitive visual guidance is more effective than traditional voice or text instructions, especially when the line of sight is blocked or the environment is noisy.

[0027] 4. The sensors and equipment used in the present invention all adopt existing mature technologies and are easy to obtain and install. In addition, the design of the entire system takes into account the ease of user operation and the convenience of subsequent maintenance, making the system not only suitable for new substations, but also convenient for upgrading and renovating existing substations. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 It is a schematic diagram of the process of the present invention; DETAILED DESCRIPTION

[0029] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0030] Environment settings:

[0031] The present invention is implemented in a city substation with a capacity of 110 kV. The area of ​​the substation is about 3,000 square meters, and it mainly includes key parts such as a transformer area, a switchgear area and a control room.

[0032] like Figure 1 As shown, a method for quickly locating substation personnel includes the following steps:

[0033] Sensor layout and installation:

[0034] Infrared sensors: 30 infrared sensors are installed and evenly distributed in high-risk areas of the substation, such as near transformers and around switchgear, to detect unauthorized activities of personnel in prohibited areas.

[0035] Ultrasonic sensors: 20 ultrasonic sensors are deployed at the entrances and exits of the substation and important passages to track the entry, exit and movement paths of people.

[0036] Optical sensors: 10 high-resolution optical sensors are installed to cover the control room and other monitoring blind spots, providing video surveillance support.

[0037] Gravity-sensing floor: Smart floors with gravity sensors are laid in all areas where people frequently move around. LED light strips embedded in the floor alternate between red and green lights to indicate traffic status.

[0038] Data Collection and Processing:

[0039] All sensor data is sent to the central processing unit (CPU) in real time via wired and wireless networks. The CPU is equipped with a high-performance data processor and a custom-developed software platform that includes:

[0040] Noise filtering module: used to remove environmental noise and occasional interference.

[0041] Signal Enhancement Module: Strengthens weak signals received from sensors.

[0042] Data fusion algorithm: Use machine learning techniques (such as random forests and deep learning networks) to analyze and fuse data from different sensors to improve positioning accuracy.

[0043] Safety and traffic instructions:

[0044] When the system detects that a person is about to enter or has entered a prohibited area, a red light on the floor of the corresponding area will immediately light up to warn the person to stop or change route.

[0045] In an emergency, such as a fire or other safety incident, the system will calculate and display a safe evacuation route, and the green lights on the floor will light up in sequence, guiding people to evacuate quickly to the nearest safe exit.

[0046] Tested and verified:

[0047] After the system was installed, a two-week field test was conducted to verify its stability and effectiveness. The test results showed that the system can accurately locate people under various environmental conditions and successfully indicate safe and prohibited areas.

[0048] Although the present invention has been described in detail with reference to the aforementioned embodiments, it is still possible for those skilled in the art to modify the technical solutions described in the aforementioned embodiments, or to make equivalent substitutions for some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for quickly locating substation personnel, characterized in that: The following steps are involved: Step 1: Arrange various types of sensors in key areas of the substation, including infrared sensors, ultrasonic sensors, optical sensors, and floors with gravity sensors to form a cross-monitoring network; Step 2: Data preprocessing: the data collected by each sensor is subjected to noise filtering and signal enhancement processing to improve data quality; Step 3: Use machine learning algorithms to fuse the pre-processed data collected by each sensor to achieve precise positioning; Step 4: Calculate the personnel's location in real time based on the fused data, and provide real-time location information to the management personnel through the user interface; Step 5: The system dynamically adjusts the working state of the sensor according to the personnel position to optimize the system performance; Step 6: When the system detects that a person has entered a dangerous area or an accident has occurred, it automatically triggers an alarm and calculates the shortest evacuation route; Step 7: Use a floor with a gravity sensor to monitor the weight changes of people, so as to quickly determine the location of people and simulate the walking route of people through the sequence of weight changes.

2. A method for rapid positioning of substation personnel according to claim 1, characterized in that: The arrangement of the various types of sensors in step 1 is optimized according to the specific geographical and structural characteristics of the substation to ensure full coverage of key areas without blind spots.

3. A method for rapid positioning of substation personnel according to claim 1, characterized in that: The data preprocessing in step 2 includes using digital filtering technology to remove environmental noise and using an enhancement algorithm to improve weak signals.

4. A method for rapid positioning of substation personnel according to claim 1, characterized in that: The machine learning algorithm in step three includes but is not limited to support vector machine (SVM), random forest (RF) or deep learning network, which is used to improve the accuracy and efficiency of data fusion.

5. A method for rapid positioning of substation personnel according to claim 1, characterized in that: The real-time location information in step 4 can display the personnel location in a graphical interface and provide a historical trajectory query function.

6. A method for rapid positioning of substation personnel according to claim 1, characterized in that: Adjusting the working state of the sensor in step five includes but is not limited to adjusting the sensing range, scanning frequency and power output of the sensor to adapt to different environmental conditions and save energy.

7. A method for rapid positioning of substation personnel according to claim 1, characterized in that: The floor surface with the gravity sensor is also provided with a green light and a red light.

8. A method for rapid positioning of substation personnel according to claim 7, characterized in that: In an emergency, a green light arranged on the floor surface with a gravity sensor instructs personnel to quickly move to a safe area.

9. A method for rapid positioning of substation personnel according to claim 7, characterized in that: A red light disposed on the floor surface of the gravity sensor will light up in unsafe or prohibited areas, instructing personnel to stop or change routes.

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