Outdoor floor type metering box operation environment early warning system and method

Abstract

The invention belongs to the technical field of metering box operation supervision, and particularly relates to an outdoor floor type metering box operation environment early warning system and method, the system comprises an environment monitoring analysis unit, a man-machine interaction unit, a power supply management unit and a maintenance unit; according to the invention, the environment of the outdoor floor type metering box is comprehensively monitored through the environment monitoring and analyzing unit, environment abnormity is identified, and an inspection processing notice is sent out when environment early warning information is generated, so that the operation safety and reliability of the outdoor floor type metering box are remarkably improved; a man-machine interaction interface is provided for a user to check data and modify parameters conveniently, and the power management unit provides stable and reliable power supply for the environment monitoring and analyzing unit and the man-machine interaction unit, and can reasonably analyze the man-machine interaction operation performance condition and the system energy consumption performance and perform early warning in time; and corresponding improvement treatment measures can be taken in time, the system operation supervision difficulty is obviously reduced, and the operation effect and the operation safety and energy saving performance are ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of meter box operation supervision, and in particular to an outdoor floor-standing meter box operation environment early warning system and method. Background Art

[0002] Outdoor floor-standing meter boxes are widely used in power systems to measure electrical energy. Due to their long-term exposure to outdoor environments, they are easily affected by various environmental factors. If these environmental factors exceed the normal operating range of the meter box, they can easily cause damage to internal components of the meter box, inaccurate measurement, and even lead to safety accidents. Therefore, it is necessary to monitor the operating environment of outdoor floor-standing meter boxes. Currently, the operating environment monitoring systems for outdoor floor-standing meter boxes generally monitor the temperature and humidity of the meter box operating environment by installing temperature and humidity sensors and smoke concentration sensors. This makes it difficult to conduct comprehensive monitoring and analysis of the outdoor floor-standing meter box operating environment and achieve human-computer interaction and stable power supply for the system. Operation supervision is difficult, and it is impossible to reasonably evaluate the distribution and supervision performance of inspection and maintenance personnel in the distribution area of ​​outdoor floor-standing meter boxes and provide timely warnings. This is not conducive to ensuring the timeliness of meter box inspection and maintenance and reducing cost investment. In view of the above technical defects, a solution is now proposed. Summary of the Invention

[0003] The purpose of the present invention is to provide an outdoor floor-standing meter box operating environment early warning system and method, which solves the problems that the existing technology is difficult to comprehensively monitor and analyze the operating environment of the outdoor floor-standing meter box and realize human-computer interaction and stable power supply of the system, and is unable to reasonably evaluate and timely warn the distribution and supervision performance of inspection and maintenance personnel in the distribution area of ​​the outdoor floor-standing meter box, which is not conducive to ensuring the timeliness of meter box inspection and maintenance and reducing cost investment, and the operation supervision is difficult and the level of intelligence is low.

[0004] To achieve the above object, the present invention provides the following technical solutions: An outdoor floor-standing meter box operating environment early warning system includes an environmental monitoring and analysis unit, a human-computer interaction unit, a power management unit, and an inspection and maintenance unit. The environmental monitoring and analysis unit is used to comprehensively monitor the environment of the outdoor floor-standing meter box, identify environmental anomalies through analysis, and generate corresponding environmental early warning information. When the environmental early warning information is generated, it is sent to the inspection and maintenance unit. The human-computer interaction unit provides a human-computer interaction interface, through which users can view the real-time environmental parameter data, historical data curves and warning record information of the outdoor floor-standing metering box, as well as set warning thresholds, adjust sensor sampling frequencies and modify communication parameters through the human-computer interaction module; The power management unit uses solar power, battery power and AC power to provide a stable and reliable power supply for the environmental monitoring and analysis unit and the human-computer interaction unit. It also has a low-power consumption management function and uses energy consumption accuracy analysis to determine whether to generate an energy consumption alarm signal. When the energy consumption alarm signal is generated, it will be sent to the inspection and maintenance unit; when the inspection and maintenance unit receives environmental warning information or energy consumption alarm signal, it will notify relevant inspection and maintenance personnel to conduct inspection and processing.

[0005] Furthermore, the environmental monitoring and analysis unit includes a sensor integrated transmission module, an environmental data analysis module, and an environmental warning generation module; wherein the sensor integrated transmission module performs environmental monitoring on the outdoor floor-standing metering box based on a plurality of sensors, collects various environmental data, and sends the collected data to the environmental data analysis module; After the environmental data analysis module receives the environmental data sent by the sensor integrated transmission module, it parses the data to extract the data of each sensor, and compares the extracted data with the corresponding preset normal range threshold. If the data of a certain environmental parameter exceeds the corresponding preset normal range threshold, the environmental warning information is generated through the environmental warning generation module.

[0006] Furthermore, the sensor integrated transmission module includes a temperature sensor, a humidity sensor, a smoke concentration sensor, a water level sensor, a vibration sensor, a tilt sensor and a door magnetic sensor; wherein the temperature sensor and the humidity sensor are used to collect temperature and humidity data of the internal and external environments of the outdoor floor-standing metering box; the smoke concentration sensor is installed on the inner top of the outdoor floor-standing metering box and is used to collect smoke concentration data inside the metering box; The water level sensor is installed at the bottom of the outdoor floor-standing meter box to collect water level data around the meter box; the vibration sensor is installed on the box bracket of the outdoor floor-standing meter box to sense the vibration frequency and amplitude of the meter box; the tilt sensor is embedded in the box base of the outdoor floor-standing meter box to detect the tilt angle of the meter box; the door magnetic sensor is used to detect the open and closed status of the box door of the outdoor floor-standing meter box.

[0007] Furthermore, the specific analysis process of energy consumption accuracy analysis is as follows: Several analysis periods are set within a unit time, and the energy consumption data of the environmental monitoring and analysis unit and the human-computer interaction unit within the corresponding analysis period are collected. The energy consumption data are numerically compared with the corresponding preset energy consumption data threshold. If the energy consumption data exceeds the corresponding preset energy consumption data threshold, the corresponding analysis period is marked as an over-standard period. The number of over-standard periods within the unit time is obtained and the ratio is calculated with the total number of analysis periods to obtain an over-standard characteristic value. The over-standard characteristic value is numerically compared with the preset over-standard characteristic threshold. If the over-standard characteristic value exceeds the preset over-standard characteristic threshold, an energy consumption alarm signal is generated.

[0008] Furthermore, if the exceeding characteristic value does not exceed the preset exceeding characteristic threshold, the energy consumption data of the corresponding exceeding period is marked as the exceeding amplitude value compared with the corresponding preset energy consumption data threshold, and the average of all exceeding amplitude values ​​in the unit time is calculated to obtain the exceeding analysis value, and the exceeding amplitude value with the largest value in the unit time is marked as the exceeding amplitude value; The energy consumption assessment value is obtained by weighted summing up the exceeding characteristic value, exceeding analysis value and exceeding amplitude value, and the energy consumption assessment value is numerically compared with the preset energy consumption assessment threshold. If the energy consumption assessment value exceeds the preset energy consumption assessment threshold, an energy consumption alarm signal is generated.

[0009] Furthermore, the human-computer interaction unit also has an interactive performance self-assessment function, which determines whether to generate an interactive abnormality signal by analyzing its own interactive display operation status, and sends the interactive abnormality signal to the inspection and maintenance unit when it is generated.

[0010] Furthermore, the specific analysis process of the interactive performance self-assessment is as follows: A detection period of Y1 is set as the end date and traced back from the current date. When the user clicks on the human-computer interaction unit, the time difference between the user's click time and the time when the human-computer interaction unit makes a feedback is calculated to obtain a feedback efficiency value. The feedback efficiency value is then compared with a preset feedback efficiency threshold. If the feedback efficiency value exceeds the preset feedback efficiency threshold, the corresponding feedback efficiency value is marked as a feedback efficiency value. The number of feedback effectiveness values ​​within the detection period is obtained and the ratio thereof is calculated with the number of feedback efficiency values ​​to obtain an effectiveness detection value, and the average of all feedback efficiency values ​​within the detection period is calculated to obtain a feedback efficiency characteristic value. The effectiveness detection value and the feedback efficiency characteristic value are numerically compared with the preset effectiveness detection threshold and the preset feedback efficiency characteristic threshold respectively. If the effectiveness detection value or the feedback efficiency characteristic value exceeds the corresponding preset threshold, an interactive abnormal signal is generated; If neither the poor performance detection value nor the feed-back characteristic value exceeds the corresponding preset threshold, the real-time display brightness of the human-computer interaction unit is collected. When the real-time display brightness is not within the corresponding preset brightness range, the human-computer interaction unit is judged to be in a display non-compliance state; the total duration of the human-computer interaction unit in the display non-compliance state during the detection period is obtained and marked as the total display non-compliance time value, and the number of occurrences of the single continuous duration of the human-computer interaction unit in the display non-compliance state exceeding the corresponding preset time threshold during the detection period is marked as the display non-compliance frequency value; the total display non-compliance time value and the display non-compliance frequency value are numerically compared with the preset display non-compliance total time threshold and the preset display non-compliance frequency threshold respectively; if the total display non-compliance time value or the display non-compliance frequency value exceeds the corresponding preset threshold, an interaction abnormality signal is generated.

[0011] Furthermore, the inspection and maintenance unit is communicatively connected to the area allocation decision evaluation unit, which is used to obtain the area where the outdoor floor-standing meter boxes are distributed, mark the corresponding area as the target area i, and i is a natural number greater than or equal to 1; generate a decision evaluation qualified signal or a decision evaluation abnormal signal through area allocation decision evaluation analysis, and send the decision evaluation qualified signal or the decision evaluation abnormal signal to the inspection and maintenance unit.

[0012] Furthermore, the specific analysis process of regional allocation decision evaluation analysis is as follows: Set an evaluation period of Y2 days, obtain all outdoor floor-standing meter boxes in the target area i, mark the number of times all outdoor floor-standing meter boxes in the target area i need to be inspected and processed during the evaluation period as the inspection-required frequency, and collect the number of times the inspection and processing of the outdoor floor-standing meter boxes in the target area i is not completed within the specified time during the evaluation period and mark it as the late inspection frequency; The late detection characteristic value is calculated by comparing the late detection frequency with the required detection frequency, and the late detection characteristic value is compared with the preset late detection characteristic threshold. If the late detection characteristic value exceeds the preset late detection characteristic threshold, a decision evaluation abnormality signal is generated for the target area i. If the late inspection feature value does not exceed the preset late inspection feature threshold, all inspection and maintenance personnel corresponding to the target area i are obtained, the number of on-duty inspection and maintenance personnel in the target area i is obtained and the ratio is calculated with the corresponding total number of people to obtain the attendance coefficient, and the attendance coefficient is numerically compared with the preset attendance coefficient threshold. If the attendance coefficient does not exceed the preset attendance coefficient threshold, it is determined that the attendance is poor; The total duration of the target area i in the poor attendance state during the evaluation period is obtained and marked as the total poor attendance time value, and the number of occurrences of the target area i in the poor attendance state during the evaluation period exceeding the corresponding preset time threshold is marked as the poor attendance frequency value. The total poor attendance time value and the poor attendance frequency value are numerically compared with the preset poor attendance total time threshold and the preset poor attendance frequency threshold respectively. If the total poor attendance time value or the poor attendance frequency value exceeds the corresponding preset threshold, a decision evaluation abnormal signal for the target area i is generated; if both the total poor attendance time value and the poor attendance frequency value do not exceed the corresponding preset threshold, a decision evaluation qualified signal for the target area i is generated.

[0013] Furthermore, the present invention also proposes an outdoor floor-standing meter box operating environment early warning method, comprising the following steps: Step 1: Perform environmental monitoring on the outdoor floor-standing metering box based on several sensors; Step 2: Collect various environmental data from the outdoor floor-standing metering box; Step 3: Based on the environmental data, determine whether to generate environmental warning information by comparing the values ​​one by one; Step 4: When the environmental warning information is generated, notify the relevant inspection and maintenance personnel to conduct inspection and processing.

[0014] Compared with the prior art, the present invention has the following beneficial effects: 1. In the present invention, the environment of the outdoor floor-standing meter box is comprehensively monitored and environmental anomalies are identified through the environmental monitoring and analysis unit. When environmental warning information is generated, an inspection and processing notification is issued, which significantly improves the safety and reliability of the operation of the outdoor floor-standing meter box. In addition, it provides human-computer interaction functions and a stable and reliable power supply. It can also reasonably analyze the human-computer interaction operation performance and system energy consumption performance and issue timely warnings, which is conducive to timely making corresponding improvement measures, significantly reducing the difficulty of system operation supervision and ensuring its operation effect and operation safety and energy saving. 2. In the present invention, the regional allocation decision evaluation unit performs regional allocation decision evaluation and analysis to determine the personnel allocation supervision performance for the corresponding area within the evaluation period. When an abnormal decision evaluation signal is generated, the inspection and maintenance unit issues an early warning, and promptly strengthens the subsequent supervision of the inspection and maintenance personnel in the corresponding area and adaptively adjusts the number of inspection and maintenance personnel in the corresponding area to avoid insufficient or excessive inspection and maintenance capabilities in the corresponding area, ensuring the timeliness of inspection and maintenance while reducing cost investment, and has a high level of intelligence. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to facilitate understanding by those skilled in the art, the present invention will be further described below with reference to the accompanying drawings; Figure 1 This is a system block diagram of Embodiment 1 of the present invention; Figure 2 This is a system block diagram of Embodiment 2 of the present invention; Figure 3 This is a flow chart of the method of embodiment 3 of the present invention. DETAILED DESCRIPTION

[0016] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. 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 making creative efforts are within the scope of protection of the present invention.

[0017] Example 1: Figure 1As shown, the present invention proposes an outdoor floor-standing meter box operating environment early warning system, including an environmental monitoring and analysis unit, a human-computer interaction unit, a power management unit and an inspection and maintenance unit; the environmental monitoring and analysis unit is used to comprehensively monitor the environment of the outdoor floor-standing meter box, identify environmental anomalies through analysis and generate corresponding environmental early warning information, and send the environmental early warning information to the inspection and maintenance unit when it is generated. When the inspection and maintenance unit receives the environmental early warning information, it notifies relevant inspection and maintenance personnel to conduct inspection and processing.

[0018] It should be noted that the environmental monitoring and analysis unit includes a sensor integration transmission module, an environmental data analysis module, and an environmental warning generation module. The sensor integration transmission module uses a number of sensors to monitor the environment of the outdoor floor-standing meter box, collects various environmental data, and sends them to the environmental data analysis module. After preliminary filtering and amplification, the collected data is converted into a digital signal and waits to be read by the environmental data analysis module. After receiving the environmental data sent by the sensor integrated transmission module, the environmental data analysis module parses the data to extract the data of each sensor, and compares the extracted data with the corresponding preset normal range threshold. If the data of a certain environmental parameter exceeds the corresponding preset normal range threshold (for example, when the water level exceeds 1cm, a water flooding alarm is triggered; when the inclination angle is greater than 5°, it is judged as foundation settlement, etc.), the environmental warning generation module generates environmental warning information; among them, the environmental warning information includes information such as the time, type and value of the abnormal data.

[0019] In addition, the sensor integrated transmission module includes a temperature sensor, a humidity sensor, a smoke concentration sensor, a water level sensor, a vibration sensor, a tilt sensor, and a door magnetic sensor. Among them, the temperature sensor (-40°C to 85°C) and the humidity sensor (0-100%RH) are used to collect temperature and humidity data inside and outside the outdoor floor-standing meter box. The smoke concentration sensor is installed on the top of the outdoor floor-standing meter box to collect smoke concentration data inside the meter box. The water level sensor (accuracy ±1mm) is installed at the bottom of the outdoor floor-standing meter box to collect water level data around the meter box; the vibration sensor is installed on the box bracket of the outdoor floor-standing meter box to sense the vibration frequency and amplitude of the meter box; the tilt sensor (0~90°, accuracy ±0.5°) is embedded in the box base of the outdoor floor-standing meter box to detect the tilt angle of the meter box; the door magnetic sensor is used to detect the open or closed status of the door of the outdoor floor-standing meter box.

[0020] The human-computer interaction unit provides a human-computer interaction interface, which is implemented in the form of a touch screen. Users can use the human-computer interaction unit to view the real-time environmental parameter data, historical data curves and warning record information of the outdoor floor-standing metering box, as well as set warning thresholds, adjust sensor sampling frequencies and modify communication parameters through the human-computer interaction module. In addition, the human-machine interaction unit also has an interactive performance self-assessment function. It analyzes its own interactive display operation status to determine whether to generate an interactive table error signal. When the interactive table error signal is generated, it is sent to the inspection and maintenance unit. When the inspection and maintenance unit receives the interactive table error signal, it notifies the relevant inspection and maintenance personnel to inspect and handle it. It can reasonably analyze and accurately feedback the operating performance status of the human-machine interaction unit, so as to timely inspect and repair the human-machine interaction unit and improve its use effect and service life. The specific analysis process of the interactive performance self-assessment is as follows: A detection period of Y1 is set as the end date and traced back from the current date. Preferably, Y1 is fifteen days. When a user performs a click operation on the human-computer interaction unit, the time difference between the user's click time and the time when the human-computer interaction unit makes a feedback is calculated, and a feedback efficiency value is obtained based on the time difference. The larger the feedback efficiency value, the less timely the feedback for the corresponding click operation. The feedback efficiency value is compared with a preset feedback efficiency threshold. If the feedback efficiency value exceeds the preset feedback efficiency threshold, indicating that the feedback efficiency for the corresponding click operation is slow, the corresponding feedback efficiency value is marked as a poor feedback efficiency value. The number of feedback effectiveness values ​​in the detection period is obtained and the ratio thereof is calculated with the number of feedback efficiency values ​​to obtain an effectiveness detection value, and the average of all feedback efficiency values ​​in the detection period is calculated to obtain a feedback efficiency characteristic value, and the effectiveness detection value and the feedback efficiency characteristic value are numerically compared with the preset effectiveness detection threshold and the preset feedback efficiency characteristic threshold respectively. If the effectiveness detection value or the feedback efficiency characteristic value exceeds the corresponding preset threshold, it indicates that the click feedback performance of the human-computer interaction unit in the detection period is poor, and an interaction abnormality signal is generated; If the poor performance detection value and the feed-back efficiency characteristic value do not exceed the corresponding preset threshold value, the real-time display brightness of the human-computer interaction unit is collected, and the real-time display brightness is compared with the corresponding preset brightness range currently set. When the real-time display brightness is not within the corresponding preset brightness range, it is determined that the human-computer interaction unit is in a display non-compliant state; Obtain the total duration of the human-computer interaction unit in the display non-compliance state during the detection period and mark it as the total display non-compliance time value, and mark the number of occurrences during the detection period when the human-computer interaction unit is in the display non-compliance state for a single duration exceeding the corresponding preset time threshold as the display non-compliance frequency value; The total display non-conformity time value and the display non-conformity frequency value are numerically compared with the preset display non-conformity total time threshold and the preset display non-conformity frequency threshold. If the total display non-conformity time value or the display non-conformity frequency value exceeds the corresponding preset threshold, it indicates that the display brightness control performance of the human-computer interaction unit during the detection period is poor and needs to be inspected and repaired in time, then an interactive abnormal signal is generated.

[0021] The power management unit uses solar power, battery power, and mains power to provide a stable and reliable power supply for the environmental monitoring and analysis unit and the human-computer interaction unit. Solar power is an ideal power supply method, as it uses solar panels to convert solar energy into electrical energy to power the system. At the same time, the battery can serve as a backup power source to power the system when there is no sunlight. It also has a low-power management function (it can automatically adjust power consumption according to the system's operating status, such as reducing the sensor sampling frequency and shutting down unnecessary communication modules when the system is idle to extend the system's battery life), and uses energy consumption accuracy analysis to determine whether to generate an energy consumption alarm signal; When an energy consumption alarm signal is generated, it is sent to the inspection and maintenance unit. When the inspection and maintenance unit receives the energy consumption alarm signal, it notifies the relevant inspection and maintenance personnel to conduct inspection and processing. It can reasonably analyze and accurately evaluate the energy saving effect, so as to remind the inspection and maintenance personnel to take corresponding improvement measures in time, thereby improving the energy saving effect and ensuring operational safety. The specific analysis process of energy consumption accuracy analysis is as follows: Several analysis periods are set within a unit of time, and energy consumption data of the environmental monitoring and analysis unit and the human-computer interaction unit within the corresponding analysis period are collected. The energy consumption data is numerically compared with the corresponding preset energy consumption data threshold. If the energy consumption data exceeds the corresponding preset energy consumption data threshold, it indicates that the energy consumption of the corresponding analysis period is high, and the corresponding analysis period is marked as an exceeding-standard period. The number of exceeding-standard time periods per unit time is obtained and its ratio with the total number of analysis time periods is calculated to obtain the exceeding-standard characteristic value, and the exceeding-standard characteristic value is numerically compared with the preset exceeding-standard characteristic threshold. If the exceeding-standard characteristic value exceeds the preset exceeding-standard characteristic threshold, it indicates that the energy consumption per unit time is abnormal and the energy-saving effect is poor, and an energy consumption alarm signal is generated.

[0022] Furthermore, if the exceeding characteristic value does not exceed the preset exceeding characteristic threshold, the energy consumption data of the corresponding exceeding period is marked as the exceeding amplitude value compared with the corresponding preset energy consumption data threshold, and the average of all exceeding amplitude values ​​in the unit time is calculated to obtain the exceeding analysis value, and the exceeding amplitude value with the largest value in the unit time is marked as the exceeding amplitude value; The energy consumption assessment value is obtained by weightedly summing the exceeding characteristic value, exceeding analysis value and exceeding amplitude value, that is, the exceeding characteristic value, exceeding analysis value and exceeding amplitude value are respectively assigned corresponding preset weight coefficients, and the exceeding characteristic value, exceeding analysis value and exceeding amplitude value are respectively multiplied by the corresponding preset weight coefficients, and the sum of the three sets of multiplication results is marked as the energy consumption assessment value; and the larger the value of the energy consumption assessment value is, the more abnormal the energy consumption per unit time is, and the worse the energy saving effect is; the energy consumption assessment value is numerically compared with the preset energy consumption assessment threshold value. If the energy consumption assessment value exceeds the preset energy consumption assessment threshold value, it indicates that the energy consumption per unit time is abnormal and the energy saving effect is poor, and an energy consumption alarm signal is generated.

[0023] Example 2: Figure 2 As shown, the difference between this embodiment and the first embodiment is that the maintenance unit is communicatively connected to the area allocation decision evaluation unit. The area allocation decision evaluation unit is used to obtain the area where the outdoor floor-standing meter boxes are distributed, mark the corresponding area as the target area i, where i is a natural number greater than or equal to 1; through the area allocation decision evaluation analysis, the personnel allocation supervision performance for the corresponding area within the evaluation period is judged, and a decision evaluation qualified signal or a decision evaluation abnormal signal is generated accordingly; And send the decision evaluation qualified signal or decision evaluation abnormal signal to the inspection and maintenance unit. When the inspection and maintenance unit receives the decision evaluation abnormal signal, it will issue a corresponding warning to remind the background supervisor to strengthen the follow-up supervision of the inspection and maintenance personnel in the corresponding area, and make timely adaptive adjustments to the number of inspection and maintenance personnel in the corresponding area to avoid insufficient or excessive inspection and maintenance capacity in the corresponding area, ensure the timeliness of inspection and maintenance, reduce cost investment, and significantly reduce the difficulty of regional personnel supervision and allocation management; the specific analysis process of regional allocation decision evaluation analysis is as follows: An evaluation period of Y2 is set, preferably, Y2 is twenty days; all outdoor floor-standing meter boxes in the target area i are obtained, the number of times all outdoor floor-standing meter boxes in the target area i need to be inspected and processed during the evaluation period is marked as the required inspection frequency, and the number of times the inspection and processing of the outdoor floor-standing meter boxes in the target area i is not completed within the specified time during the evaluation period is collected and marked as the late inspection frequency; The late inspection characteristic value is calculated by comparing the late inspection frequency with the required inspection frequency. The late inspection characteristic value is then compared with the preset late inspection characteristic threshold. If the late inspection characteristic value exceeds the preset late inspection characteristic threshold, it indicates that the management performance of the meter box in the target area i during the evaluation period is poor, and it is necessary to strengthen the supervision of the inspection and maintenance personnel in the corresponding area or increase the number of personnel. In this case, a decision evaluation abnormality signal for the target area i is generated. If the late inspection feature value does not exceed the preset late inspection feature threshold, all inspection and maintenance personnel corresponding to the target area i are obtained, the number of on-duty inspection and maintenance personnel in the target area i is obtained and the ratio is calculated by comparing it with the corresponding total number of people to obtain the attendance coefficient. The attendance coefficient is numerically compared with the preset attendance coefficient threshold. If the attendance coefficient does not exceed the preset attendance coefficient threshold, it indicates that many inspection and maintenance personnel are currently off-duty, and it is determined that the attendance is poor. Obtain the total duration of the target area i in the poor attendance state during the evaluation period and mark it as the total poor attendance time value, and mark the number of occurrences of the target area i in the poor attendance state during the evaluation period exceeding the corresponding preset time threshold as the poor attendance frequency value, and compare the total poor attendance time value and the poor attendance frequency value with the preset poor attendance total time threshold and the preset poor attendance frequency threshold, respectively; If the total time value of poor attendance or the frequency value of poor attendance exceeds the corresponding preset threshold, it indicates that the number of inspection and maintenance personnel in the target area i during the evaluation period is too large, and the number of inspection and maintenance personnel in the corresponding area can be appropriately reduced, then a decision evaluation abnormal signal for the target area i is generated; if the total time value of poor attendance and the frequency value of poor attendance do not exceed the corresponding preset threshold, it indicates that the number arrangement and personnel supervision performance of the inspection and maintenance personnel in the target area i during the evaluation period are good, and there is no need to adjust the personnel allocation and supervision plan of the corresponding area, then a decision evaluation qualified signal for the target area i is generated.

[0024] Example 3: Figure 3 As shown, the difference between this embodiment and the first and second embodiments is that the present invention proposes an outdoor floor-standing meter box operating environment early warning method, comprising the following steps: Step 1: Perform environmental monitoring on the outdoor floor-standing metering box based on several sensors; Step 2: Collect various environmental data from the outdoor floor-standing metering box; Step 3: Based on the environmental data, determine whether to generate environmental warning information by comparing the values ​​one by one; Step 4: When the environmental warning information is generated, notify the relevant inspection and maintenance personnel to conduct inspection and processing.

[0025] The working principle of the present invention is as follows: when in use, the environment of the outdoor floor-standing meter box is comprehensively monitored and environmental anomalies are identified through the environmental monitoring and analysis unit. When the environmental warning information is generated, the inspection and maintenance personnel are notified through the inspection and maintenance unit to inspect and process the meter box. It can monitor various parameters of the operating environment of the meter box in real time and issue timely warnings for abnormal environments, thereby improving the safety and reliability of the meter box operation, and providing a human-computer interaction interface for users to view data and modify parameters. The power management unit provides a stable and reliable power supply for the environmental monitoring and analysis unit and the human-computer interaction unit, and can reasonably analyze the human-computer interaction operation performance and system energy consumption performance and issue timely warnings, which is conducive to timely making corresponding improvement measures, significantly reducing the difficulty of system operation supervision, and has a high level of intelligence.

[0026] The preferred embodiments of the present invention disclosed above are intended only to help illustrate the present invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the present invention to specific embodiments. Obviously, many modifications and variations are possible based on the contents of this specification. These embodiments are selected and described in detail in this specification to better explain the principles and practical applications of the present invention, thereby enabling those skilled in the art to better understand and utilize the present invention. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. An outdoor floor-standing meter box operating environment early warning system, characterized in that: It includes an environmental monitoring and analysis unit, a human-computer interaction unit, a power management unit, and an inspection and maintenance unit. The environmental monitoring and analysis unit is used to comprehensively monitor the environment of the outdoor floor-standing meter box, identify environmental anomalies through analysis, and generate corresponding environmental warning information. When the environmental warning information is generated, it will be sent to the inspection and maintenance unit. The human-computer interaction unit provides a human-computer interaction interface. The power management unit uses solar power, battery power and AC power to provide a stable and reliable power supply for the environmental monitoring and analysis unit and the human-computer interaction unit. It also uses energy consumption accuracy analysis to determine whether to generate an energy consumption alarm signal. When the energy consumption alarm signal is generated, it will be sent to the inspection and maintenance unit; when the inspection and maintenance unit receives the environmental warning information or energy consumption alarm signal, it will notify the relevant inspection and maintenance personnel to conduct inspection and processing.

2. The outdoor floor-standing meter box operating environment early warning system according to claim 1 is characterized in that: The environmental monitoring and analysis unit includes a sensor integrated transmission module, an environmental data analysis module and an environmental warning generation module; among them, the sensor integrated transmission module performs environmental monitoring on the outdoor floor-standing meter box based on several sensors; the environmental data analysis module parses the data to extract the data of each sensor. If the data of a certain environmental parameter exceeds the corresponding preset normal range threshold, the environmental warning information is generated through the environmental warning generation module.

3. The outdoor floor-standing meter box operating environment early warning system according to claim 2 is characterized in that: The sensor integrated transmission module includes a temperature sensor, a humidity sensor, a smoke concentration sensor, a water level sensor, a vibration sensor, a tilt sensor and a door magnetic sensor.

4. The outdoor floor-standing meter box operating environment early warning system according to claim 1 is characterized in that: The specific analysis process of energy consumption accuracy analysis is as follows: set a number of analysis periods within a unit time, collect the energy consumption data of the environmental monitoring and analysis unit and the human-computer interaction unit within the corresponding analysis period, and if the energy consumption data exceeds the corresponding preset energy consumption data threshold, the corresponding analysis period will be marked as an over-standard period; The number of exceeding-standard time periods per unit time is obtained and its ratio with the total number of analysis time periods is calculated to obtain the exceeding-standard characteristic value. If the exceeding-standard characteristic value exceeds the preset exceeding-standard characteristic threshold, an energy consumption alarm signal is generated.

5. The outdoor floor-standing meter box operating environment early warning system according to claim 4 is characterized in that: If the exceeding characteristic value does not exceed the preset exceeding characteristic threshold, the energy consumption assessment value is obtained by weighted summing the exceeding characteristic value, the exceeding analysis value and the exceeding amplitude value. If the energy consumption assessment value exceeds the preset exceeding characteristic threshold, an energy consumption alarm signal is generated.

6. The outdoor floor-standing meter box operating environment early warning system according to claim 1 is characterized in that: The human-computer interaction unit also has an interactive performance self-assessment function. It analyzes its own interactive display operating status to determine whether to generate an interactive abnormality signal. When an interactive abnormality signal is generated, it is sent to the inspection and maintenance unit.

7. The outdoor floor-standing meter box operating environment early warning system according to claim 6 is characterized in that: The specific analysis process of interactive performance self-assessment is as follows: if the performance poor detection value or the feed-back effect characteristic value exceeds the corresponding preset threshold, an interactive abnormality signal is generated; if both the performance poor detection value and the feed-back effect characteristic value do not exceed the corresponding preset threshold, the total display non-conformity time value and the display non-conformity frequency value are numerically compared with the preset display non-conformity total time threshold and the preset display non-conformity frequency threshold respectively; if the total display non-conformity time value or the display non-conformity frequency value exceeds the corresponding preset threshold, an interactive abnormality signal is generated.

8. The outdoor floor-standing meter box operating environment early warning system according to claim 1 is characterized in that: The inspection and maintenance unit is communicatively connected to the area allocation decision evaluation unit, which is used to obtain the area where the outdoor floor-standing meter boxes are distributed, mark the corresponding area as the target area i, and i is a natural number greater than or equal to 1; generate a decision evaluation qualified signal or a decision evaluation abnormal signal through area allocation decision evaluation analysis, and send the decision evaluation qualified signal or decision evaluation abnormal signal to the inspection and maintenance unit.

9. The outdoor floor-standing meter box operating environment early warning system according to claim 8 is characterized in that: The specific analysis process of regional allocation decision evaluation analysis is as follows: The late inspection characteristic value is obtained by calculating the ratio of the late inspection frequency to the required inspection frequency. If the late inspection characteristic value exceeds the preset late inspection characteristic threshold, a decision evaluation abnormal signal of the target area i is generated; if the late inspection characteristic value does not exceed the preset late inspection characteristic threshold, the total time value of poor attendance and the abnormal frequency value of poor attendance are numerically compared with the preset total time threshold of poor attendance and the preset abnormal frequency threshold of poor attendance respectively. If the total time value of poor attendance or the abnormal frequency value of poor attendance exceeds the corresponding preset threshold, a decision evaluation abnormal signal of the target area i is generated; otherwise, a decision evaluation qualified signal of the target area i is generated.

10. A method for early warning of the operating environment of an outdoor floor-standing meter box, characterized in that: The following steps are involved: Step 1: Environmental monitoring; Step 2: Collect environmental data; Step 3: Determine whether to generate environmental warning information; Step 4: Issue a notification when environmental warning information is generated.

Images