Networking monitoring type dustbin operation state evaluation method for smart city

Abstract

The invention discloses a smart city networking monitoring type garbage can operation state evaluation method, and relates to the technical field of garbage can monitoring, and the method comprises the following steps: collecting equipment information and system information during operation of a networking monitoring type garbage can; performing comprehensive analysis on the equipment information and the system information, establishing a data analysis model, and generating an operation state evaluation index; and the operation state evaluation indexes are compared with the operation state evaluation indexes, and the operation state of the networking monitoring type dustbin is evaluated. The operation state of the networked monitoring type dustbin is obtained through the operation state evaluation index, when the operation state of the networked monitoring type dustbin becomes poor, a maintainer is prompted to maintain the networked monitoring type dustbin in advance, the timeliness of maintenance of the networked monitoring type dustbin is improved, and the maintenance efficiency of the networked monitoring type dustbin is improved. And the situation that the maintenance difficulty is increased and the maintenance time is prolonged due to the fact that the networking monitoring type garbage can breaks down is effectively prevented, and efficient use of the networking monitoring type garbage can is facilitated.

Description

Technical Field

[0001] The present invention relates to the technical field of garbage bin monitoring, and in particular to a method for evaluating the operating status of a networked monitoring garbage bin for a smart city. Background Art

[0002] The concept of smart city refers to an urban development model that uses information and communication technology to improve the efficiency of urban operations and the quality of life of citizens. Among them, networked monitoring trash cans are a technological innovation in smart cities. Networked monitoring trash cans refer to traditional trash cans that are embedded with sensors, communication equipment and data analysis technology to achieve intelligent management and monitoring of trash cans. These trash cans can sense information such as garbage capacity, filling level, garbage classification, and environmental conditions around the trash cans in real time, and transmit these data to the city management center or relevant departments through the Internet.

[0003] The prior art has the following deficiencies:

[0004] 1. Most of the existing technologies use regular maintenance to maintain networked monitoring trash bins. When the operating status of networked monitoring trash bins for smart cities deteriorates, it cannot be discovered in time. As time goes by, networked monitoring trash bins will fail. It can only be discovered when the networked monitoring trash bins fail. At this time, arranging maintenance personnel for maintenance will lead to serious lag in maintenance. When the networked monitoring trash bin fails, maintenance will be more difficult and take longer, which will affect the efficient use of the networked monitoring trash bins.

[0005] 2. When maintaining a networked monitoring type trash bin, the prior art cannot obtain the maintenance status of the networked monitoring type trash bin through the operating status of the networked monitoring type trash bin, cannot identify the maintenance results, and thus cannot know the maintenance status of the networked monitoring type trash bin.

[0006] The above information disclosed in this Background section is only for enhancement of understanding of the background of the present disclosure and therefore it may contain information that does not constitute the prior art that is already known to one of ordinary skill in the art. Summary of the invention

[0007] The purpose of the present invention is to provide a method for evaluating the operating status of a networked monitored garbage bin for a smart city. The present invention obtains the operating status of the networked monitored garbage bin through an operating status evaluation index. When the operating status of the networked monitored garbage bin deteriorates, the maintenance personnel are prompted to perform maintenance on the networked monitored garbage bin in advance, thereby improving the timeliness of maintenance of the networked monitored garbage bin, and effectively preventing the networked monitored garbage bin from malfunctioning, which increases the difficulty of maintenance and thus increases the maintenance time, thereby facilitating the efficient use of the networked monitored garbage bin to solve the problems in the above-mentioned background technology.

[0008] In order to achieve the above object, the present invention provides the following technical solution: a method for evaluating the operating status of a networked monitoring garbage bin for a smart city, comprising the following steps:

[0009] Collect equipment information and system information when the network-monitored trash bin is running;

[0010] Comprehensively analyze equipment information and system information, establish a data analysis model, and generate an operation status evaluation index;

[0011] Compare the operation status evaluation index with the operation status evaluation index, evaluate the operation status of the networked monitoring type garbage bin, and determine whether to issue an early warning prompt based on the evaluation results;

[0012] A comprehensive analysis is conducted on the status assessment index generated by the networked monitoring trash bin during the maintenance process, and the maintenance results are identified.

[0013] Preferably, the device information includes the abnormal operation time of the sensor and the maximum operating temperature of the battery. After collection, the abnormal operation time of the sensor and the maximum operating temperature of the battery are calibrated as CY x and SM x The system information includes the system data transmission stability coefficient and the sensor fault alarm frequency. After collection, the system data transmission rate coefficient and the sensor fault alarm frequency are calibrated as CSX respectively. x and GJP x .

[0014] Preferably, the logic for obtaining the abnormal operation time of the sensor is as follows:

[0015] The operating voltage of the sensor within the time t is obtained and the voltage is calibrated as Vd. The voltage when the sensor is operating efficiently is set to a gradient range of Vmin~Vmax. The voltage Vd when the sensor is operating is compared with Vmin~Vmax. If Vd is not between Vmin~Vmax, the corresponding time is recorded, and the total recorded time is recorded as ty. Ty represents the total time that Vd is not between Vmin~Vmax within the time t. The expression for calculating the abnormal operating time of the sensor is: y represents the number of the sensor, y=1, 2, 3, 4, ..., N, where N is a positive integer.

[0016] Preferably, the logic for obtaining the maximum battery operating temperature is as follows:

[0017] The battery operating temperature at different times within a time t is obtained, and the battery operating temperature is calibrated as Wj, where j represents the number of the battery operating temperature at different times, j=1, 2, 3, 4, ..., m, and m is a positive integer. The battery operating temperatures at different times are obtained to establish a data set B, then B={Wj}={W1, W2, W3, ..., Wm}. After obtaining, the battery operating temperatures in the data set are sorted in order, and the maximum value of the battery operating temperature in the data set is selected. The maximum value of the battery operating temperature is calibrated as Wmax, and the basis for obtaining the maximum battery operating temperature is: SM x =Wmax.

[0018] Preferably, the logic of obtaining the system data transmission stability coefficient is as follows:

[0019] Obtain the data transmission rate at different times within time t, and calibrate the data transmission rate as Vq, where q represents the number of the data transmission rate, q = 1, 2, 3, 4, ..., h, and h is a positive integer. Obtain the system data transmission stability coefficient through the standard deviation of the obtained data transmission rate, and calibrate the standard deviation value of Vq as LS, then:

[0020]

[0021] , where is the average value of the data transmission rate at different times, LS is the standard deviation of the data transmission rate at different times, and the system data transmission stability coefficient CSX is obtained through the standard deviation of the data transmission rate at different times x .

[0022] Preferably, the logic of obtaining the sensor fault alarm frequency is as follows:

[0023] Get the number of sensor failures issued by the alarm system within time t, and calibrate the total number of sensor failures obtained as Ct. Then the expression for calculating the sensor failure alarm frequency is: GJP x =Ct / t;

[0024] To obtain the total number of sensor failures reported by the alarm system, perform the following steps:

[0025] S1: Use the management interface or application associated with the waste bin monitoring system to access the functions and settings of the alarm system;

[0026] S2: In the alarm system interface, find the section or option related to the alarm history record;

[0027] S3: Check the alarm of sensor failure within time t;

[0028] S4: Based on the screening results, record the total number of sensor failures within time t.

[0029] Preferably, the abnormal operation time CY of the sensor is obtained. x 、Battery operating maximum temperature SM x , System data transmission rate coefficient CSX x And sensor fault alarm frequency GJP x After that, a data analysis model is established to generate the operation status evaluation index PGx, based on the formula:

[0030]

[0031] Where α, β, γ, and δ are the abnormal operation duration CY of the sensor respectively. x 、Battery operating maximum temperature SM x , System data transmission rate coefficient CSX x , Sensor failure alarm frequency GJP x The preset proportional coefficient is , and α, β, γ, and δ are all greater than 0.

[0032] Preferably, after obtaining the operating status evaluation index of the networked monitored trash bin, the operating status evaluation index is compared with the operating status evaluation index reference threshold. If the operating status evaluation index is greater than or equal to the operating status evaluation index reference threshold, a low operating status signal is generated and sent to the mobile terminal, and an early warning prompt is issued to remind maintenance personnel that the operating status of the networked monitored trash bin is poor and needs timely maintenance. If the operating status evaluation index is less than the operating status evaluation index reference threshold, a high operating status signal is generated and sent to the mobile terminal, and no early warning prompt is issued.

[0033] Preferably, during the maintenance time of the networked monitoring type garbage bin, v operation status evaluation indexes PGx are obtained to establish a data set P, then P = {PGx} = {PG 1, PG 2, ..., PG v}, v is a positive integer, and the average value and discrete degree value of the v operation status evaluation indexes PGx are calculated;

[0034] If the average value of the operation status evaluation index PGx is greater than or equal to the risk index reference threshold, a maintenance failure signal is generated and sent to the mobile terminal to remind the maintenance personnel that the network-monitored garbage bin maintenance has failed;

[0035] If the average value of the operation status evaluation index PGx is less than the risk index reference threshold and the dispersion value is greater than or equal to the dispersion reference threshold, a maintenance instability signal is generated and sent to the mobile terminal for maintenance personnel to know. The maintenance instability signal indicates that the networked monitoring type garbage bin after maintenance is sometimes good and sometimes bad, and has poor stability, and further maintenance of the networked monitoring type garbage bin is required;

[0036] If the average value of the operation status evaluation index PGx is less than the risk index reference threshold and the discreteness value is less than the discreteness reference threshold, a maintenance success signal is generated and sent to the mobile terminal to prompt the maintenance personnel that the networked monitoring garbage bin maintenance is successful;

[0037] The calculation formula of the discrete degree value of the operating status evaluation index PGx in the above data set is:

[0038]

[0039] ; In the formula, is the average value of the operating status evaluation index PGx in the data set, and PX is the discrete degree value of the operating status evaluation index PGx in the data set.

[0040] In the above technical solution, the technical effects and advantages provided by the present invention are:

[0041] 1. The present invention generates an operation status evaluation index by collecting equipment information and system information of the networked monitoring type garbage bin during operation, and obtains the operation status of the networked monitoring type garbage bin through the operation status evaluation index. When the operation status of the networked monitoring type garbage bin deteriorates, the maintenance personnel are prompted to perform maintenance on the networked monitoring type garbage bin in advance, thereby improving the timeliness of maintenance of the networked monitoring type garbage bin, effectively preventing the networked monitoring type garbage bin from malfunctioning and increasing the difficulty of maintenance and thus increasing the maintenance time, and facilitating the efficient use of the networked monitoring type garbage bin;

[0042] 2. The present invention obtains the maintenance status of the networked monitoring type garbage bin by obtaining the operation status evaluation index during the maintenance time of the networked monitoring type garbage bin, identifies the maintenance result, understands the maintenance status of the networked monitoring type garbage bin, and ensures that the networked monitoring type garbage bin after maintenance operates stably and maintains a high operating status. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0044] Figure 1 The present invention is a method flow chart of a method for evaluating the operating status of a networked monitoring garbage bin for a smart city. DETAILED DESCRIPTION

[0045] Example embodiments will now be described more fully with reference to the accompanying drawings. However, example embodiments can be implemented in a variety of forms and should not be construed as limited to the examples set forth herein; rather, these example embodiments are provided so that the description of the present disclosure will be more comprehensive and complete, and the concept of the example embodiments will be fully conveyed to those skilled in the art.

[0046] The present invention provides Figure 1 A method for evaluating the operating status of a networked monitoring garbage bin for a smart city is shown, comprising the following steps:

[0047] Collect equipment information and system information when the network-monitored trash bin is running;

[0048] The device information includes the abnormal operation time of the sensor and the maximum operating temperature of the battery. After collection, the abnormal operation time of the sensor and the maximum operating temperature of the battery are calibrated as CY x and SM x ;

[0049] Sensor overpressure operation may have the following effects on the operating status of the networked monitoring waste bin:

[0050] Data distortion or error: Sensor overpressure operation may cause abnormal or erroneous sensor readings. When the sensor's measurement range is exceeded, its output may be inaccurate or uninterpretable, which will affect the garbage bin monitoring system's correct judgment of the garbage bin status, resulting in false alarms or missing important information;

[0051] Degraded system performance: Over-pressure operation of the sensor may negatively affect the overall system performance of the waste bin. Operating the sensor at pressures beyond the design specifications may result in slower sensor response, reduced measurement accuracy, or damage to the sensor element, which may cause the system to react slowly and have reduced monitoring capabilities.

[0052] Increased energy consumption: Overpressure operation of the sensor may result in additional energy consumption. If the sensor continues to work under overpressure, a higher power supply may be required to maintain its normal operation, which may shorten the battery life of the trash bin and require more frequent battery replacement or charging, increasing maintenance costs and operational complexity.

[0053] System failure and damage: Long-term overpressure operation of the sensor may cause damage to the sensor or failure of other parts of the system. Sensors exceeding their tolerance range may cause circuit failure, component damage or overall sensor failure, which may cause the garbage bin monitoring system to fail to work properly and require repair or replacement of equipment, affecting the normal operation of the garbage bin;

[0054] Low-voltage operation of the sensor may have the following effects on the operating status of the networked monitoring trash bin:

[0055] Inaccurate or lost data: Low voltage operation may cause the output signal of the sensor to be unstable or distorted, resulting in inaccurate or lost data. The sensor requires sufficient voltage to work properly and produce accurate measurement results. Low voltage operation may affect the accuracy and stability of the sensor, making the monitoring data unable to correctly reflect the actual status of the trash bin;

[0056] System performance degradation: Low voltage operation of sensors may cause performance degradation of the entire trash bin monitoring system. Sensors may respond more slowly, have limited measurement range or unstable output under low voltage, which may cause the monitoring system to respond slowly, delay or malfunction, affecting accurate monitoring and management of the trash bin status;

[0057] Uneven energy consumption: Sensors operating at low voltage may result in uneven energy consumption. Specific sensors may consume battery energy or power resources faster, which may shorten battery life, require more frequent battery replacement or charging, and increase maintenance costs and operational complexity.

[0058] System failure and instability: Prolonged low-voltage operation of sensors may cause system failure and instability. Sensors may not work properly under low voltage, produce erroneous readings or cause failure of other components, which may cause the overall failure or instability of the waste bin monitoring system, requiring repair or replacement of equipment;

[0059] Delayed or false alarms: Low voltage operation may cause delayed or false alarms in the alarm system. Sensors may not detect abnormal conditions in time or fail to trigger alarms correctly under low voltage, thus delaying the warning and resolution of waste bin problems.

[0060] Therefore, by collecting the overpressure operation time of the sensor in the network-monitored trash bin, the operation status of the network-monitored trash bin can be evaluated;

[0061] The logic for obtaining the abnormal operation duration of the sensor is as follows:

[0062] The operating voltage of the sensor within the time t is obtained and the voltage is calibrated as Vd. The voltage when the sensor is operating efficiently is set to a gradient range of Vmin~Vmax. The voltage Vd when the sensor is operating is compared with Vmin~Vmax. If Vd is not between Vmin~Vmax, the corresponding time is recorded, and the total recorded time is recorded as ty. Ty represents the total time that Vd is not between Vmin~Vmax within the time t. The expression for calculating the abnormal operating time of the sensor is: y represents the number of the sensor, y=1, 2, 3, 4, ..., N, N is a positive integer;

[0063] It should be noted that the voltage of the sensor during operation is obtained through the sensor data interface. The sensor is usually connected to the electronic control unit or the main control board of the garbage bin through a specific interface. These interfaces may include an analog input interface or a digital input interface. By reading the voltage value of the sensor interface, the voltage information of the sensor during operation can be obtained;

[0064] If the battery temperature is too high, the operating status of the networked monitoring trash can may have the following effects:

[0065] Shortened battery life: High temperatures will accelerate the aging process of the battery, resulting in reduced battery capacity and performance. If the battery is exposed to high temperatures for a long time, the battery life may be significantly shortened, requiring more frequent battery replacement.

[0066] Reduced battery performance: High temperature environment will increase the volatilization of the electrolyte inside the battery, resulting in a reduction in battery capacity. The reduction in battery performance may cause the trash can to be unable to provide sufficient power support during use, affecting its normal operation;

[0067] Increased risk of battery damage: High temperatures can increase the rate of chemical reactions inside the battery, leading to increased pressure inside the battery, which may increase the risk of battery casing expansion, leakage or even explosion. Battery damage may cause the trash can to not work properly or cause other safety issues;

[0068] Safety hazards: Batteries at too high a temperature may cause fire or other safety accidents. Batteries in high temperature environments may become unstable, releasing more heat and energy, increasing the risk of fire.

[0069] Therefore, by collecting the maximum operating temperature of the battery in the networked monitoring type trash bin, the operating status of the networked monitoring type trash bin can be evaluated;

[0070] The logic for obtaining the maximum battery operating temperature is as follows:

[0071] The battery operating temperature at different times within a time t is obtained, and the battery operating temperature is calibrated as Wj, where j represents the number of the battery operating temperature at different times, j=1, 2, 3, 4, ..., m, and m is a positive integer. The battery operating temperatures at different times are obtained to establish a data set B, then B={Wj}={W1, W2, W3, ..., Wm}. After obtaining, the battery operating temperatures in the data set are sorted in order, and the maximum value of the battery operating temperature in the data set is selected. The maximum value of the battery operating temperature is calibrated as Wmax, and the basis for obtaining the maximum battery operating temperature is: SM x =Wmax;

[0072] It should be noted that the battery management system of the networked monitoring trash bin is usually equipped with a temperature sensor to monitor the temperature of the battery. By reading the value of the battery temperature sensor, the real-time temperature information of the battery can be obtained;

[0073] System information includes the system data transmission stability coefficient and sensor fault alarm frequency. After collection, the system data transmission rate coefficient and sensor fault alarm frequency are calibrated as CSX respectively. x and GJP x ;

[0074] System data transmission stability coefficient, that is, the stability of the system data transmission;

[0075] When the system data transmission rate of a networked monitoring trash bin fluctuates greatly, it may have the following impacts on its operating status:

[0076] Data delay: Fluctuations in the system data transmission rate may cause delayed data transmission. Increased delays may result in a decrease in the ability to monitor and respond in real time, making it impossible for managers to understand the status and operation of the trash bin in a timely manner.

[0077] Data inaccuracy: Fluctuations in transmission rates may result in lost or incomplete data transmission, which may lead to inaccurate or missing data, complicating managers’ decision-making and analysis, making it impossible to accurately assess the operating status and needs of the waste bin;

[0078] Difficulty in data processing: Highly fluctuating data transmission rates may increase the complexity of data processing. If the system cannot handle the rapidly changing data transmission rate, it may cause data congestion or system overload, thus affecting the normal operation of the trash bin;

[0079] Difficulties in monitoring and management: Fluctuating data transmission rates may cause difficulties in the monitoring and management process. Managers may not be able to obtain accurate data in real time, making it difficult to remotely monitor, troubleshoot, and optimize the management of waste bins.

[0080] Therefore, by collecting the stable status of system data transmission in the networked monitoring type garbage bin, the operating status of the networked monitoring type garbage bin can be evaluated;

[0081] The logic for obtaining the system data transmission stability coefficient is as follows:

[0082] The data transmission rate at different times within the time t is obtained, and the data transmission rate is calibrated as Vq, where q represents the number of the data transmission rate, q = 1, 2, 3, 4, ..., h, and h is a positive integer. The system data transmission stability coefficient is obtained by obtaining the standard deviation of the data transmission rate. The larger the standard deviation of the data transmission rate, the greater the volatility of the data transmission rate, and the smaller the standard deviation of the data transmission rate, the smaller the volatility of the data transmission rate. The standard deviation value of Vq is calibrated as LS, then:

[0083]

[0084] , where is the average value of the data transmission rate at different times, LS is the standard deviation of the data transmission rate at different times, and the system data transmission stability coefficient CSX is obtained through the standard deviation of the data transmission rate at different times x ;

[0085] It should be noted that the use of network monitoring tools, such as network traffic monitoring software or hardware devices, to monitor the data transmission between the networked monitoring trash bin and the city management center or relevant departments can obtain real-time network traffic data and transmission rate;

[0086] If the alarm system in a networked monitoring waste bin continuously issues alarms about sensor failures, this may have the following impacts on the operating status of the waste bin:

[0087] False alarms and interference: Frequent sensor failure alarms may cause false alarms and interference, causing managers and maintenance personnel to mistakenly believe that the sensor is faulty, when in fact the waste bin may be operating normally, which may lead to unnecessary maintenance actions or waste of resources, negatively affecting operation and maintenance efficiency;

[0088] Reduced reliability: If the alarm system cannot accurately identify sensor failures, then real sensor failures may be ignored or delayed, which may lead to reduced reliability of the monitoring system because the real problem cannot be discovered and solved in time, affecting the normal operation and management of the waste bin;

[0089] Inaccurate data: Sensor failure alarms may affect the accuracy of sensor data. If the faulty sensor continues to collect and transmit data, the data may be inaccurate or invalid, thus affecting the accurate assessment and decision-making of the bin status;

[0090] Therefore, collecting the sensor fault alarm frequency in the networked monitoring type trash bin can evaluate the operating status of the networked monitoring type trash bin;

[0091] The logic for obtaining the sensor fault alarm frequency is as follows:

[0092] Get the number of sensor failures issued by the alarm system within time t, and calibrate the total number of sensor failures obtained as Ct. Then the expression for calculating the sensor failure alarm frequency is: GJP x =Ct / t;

[0093] It should be noted that to obtain the total number of sensor failures issued by the alarm system, the following steps can be performed:

[0094] S1: Use the management interface or application associated with the waste bin monitoring system to access the functions and settings of the alarm system;

[0095] S2: In the alarm system interface, find the section or option related to the alarm history record;

[0096] S3: Check the alarm of sensor failure within time t;

[0097] S4: According to the screening results, record the total number of sensor failures within time t;

[0098] Comprehensively analyze equipment information and system information, establish a data analysis model, and generate an operation status evaluation index;

[0099] Get the abnormal operation time of the sensor CY x 、Battery operating maximum temperature SM x , System data transmission rate coefficient CSX x And sensor fault alarm frequency GJP x After that, a data analysis model is established to generate the operation status evaluation index PGx, based on the formula:

[0100]

[0101] Where α, β, γ, and δ are the abnormal operation duration CY of the sensor respectively. x 、Battery operating maximum temperature SM x , System data transmission rate coefficient CSX x , Sensor failure alarm frequency GJP x The preset proportional coefficient, and α, β, γ, δ are all greater than 0;

[0102] It can be seen from the formula that the longer the sensor abnormal operation time, the higher the battery operating maximum temperature, the larger the system data transmission rate coefficient, and the higher the sensor fault alarm frequency, that is, the larger the performance value of the operation status evaluation index PGx, the worse the operation status of the networked monitoring type trash can; the shorter the sensor abnormal operation time, the lower the battery operating maximum temperature, the smaller the system data transmission rate coefficient, and the lower the sensor fault alarm frequency, that is, the smaller the performance value of the operation status evaluation index PGx, the better the operation status of the networked monitoring type trash can;

[0103] Compare the operation status evaluation index with the operation status evaluation index, evaluate the operation status of the networked monitoring type garbage bin, and determine whether to issue an early warning prompt based on the evaluation results;

[0104] After obtaining the operation status evaluation index of the networked monitoring type garbage bin, the operation status evaluation index is compared with the operation status evaluation index reference threshold. If the operation status evaluation index is greater than or equal to the operation status evaluation index reference threshold, indicating that the operation status of the networked monitoring type garbage bin is poor, a low operation status signal is generated and sent to the mobile terminal, and an early warning prompt is issued to remind the maintenance personnel that the operation status of the networked monitoring type garbage bin is poor at this time and maintenance is required in time. In this way, the operation status of the networked monitoring type garbage bin can be evaluated. When the operation status of the networked monitoring type garbage bin deteriorates, it is known in time, and the networked monitoring type garbage bin is maintained in advance, thereby improving the timeliness of maintenance of the networked monitoring type garbage bin, effectively preventing the networked monitoring type garbage bin from malfunctioning, increasing the difficulty of maintenance and then increasing the maintenance time, and facilitating the efficient use of the networked monitoring type garbage bin. If the operation status evaluation index is less than the operation status evaluation index reference threshold, indicating that the operation status of the networked monitoring type garbage bin is good, a high operation status signal is generated and sent to the mobile terminal, and no early warning prompt is issued;

[0105] The present invention generates an operation status evaluation index by collecting device information and system information during the operation of the networked monitoring type garbage bin, and obtains the operation status of the networked monitoring type garbage bin through the operation status evaluation index. When the operation status of the networked monitoring type garbage bin deteriorates, the maintenance personnel are prompted to perform maintenance on the networked monitoring type garbage bin in advance, thereby improving the timeliness of the maintenance of the networked monitoring type garbage bin, effectively preventing the networked monitoring type garbage bin from malfunctioning and increasing the maintenance difficulty and thus the maintenance time, and facilitating the efficient use of the networked monitoring type garbage bin.

[0106] Comprehensively analyze the status evaluation index generated by the networked monitoring trash bin during the maintenance process and identify the maintenance results;

[0107] During the maintenance time of the networked monitoring type garbage bin, v operation status evaluation indexes PGx are obtained to establish a data set P, then P = {PGx} = {PG 1, PG 2, ..., PG v}, v is a positive integer, and the average values ​​and discrete values ​​of the v operation status evaluation indexes PGx are calculated. If the average value of the operation status evaluation index PGx is greater than or equal to the risk index reference threshold, a maintenance failure signal is generated and sent to the mobile terminal, prompting the maintenance personnel that the maintenance of the networked monitoring type garbage bin has failed; if the average value of the operation status evaluation index PGx is less than the risk index reference threshold and the discrete value is greater than the discrete reference threshold, a maintenance instability signal is generated and sent to the mobile terminal, and the maintenance personnel know that the maintenance of the networked monitoring type garbage bin is sometimes good and sometimes bad, and the stability is poor. Further maintenance of the networked monitoring type garbage bin is required to ensure that the networked monitoring type garbage bin after maintenance runs stably and maintains a high operating state; if the average value of the operation status evaluation index PGx is less than the risk index reference threshold, and the discrete value is less than the discrete reference threshold, a maintenance success signal is generated and sent to the mobile terminal, prompting the maintenance personnel that the maintenance of the networked monitoring type garbage bin is successful;

[0108] The calculation formula of the discrete degree value of the operating status evaluation index PGx in the above data set is:

[0109]

[0110] ; In the formula, is the average value of the operating status evaluation index PGx in the data set, and PX is the discrete degree value of the operating status evaluation index PGx in the data set;

[0111] The present invention obtains the maintenance status of the networked monitoring type garbage bin by obtaining the operation status evaluation index during the maintenance time of the networked monitoring type garbage bin, identifies the maintenance result, understands the maintenance status of the networked monitoring type garbage bin, and ensures that the networked monitoring type garbage bin after maintenance operates stably and maintains a high operating status.

[0112] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0113] In the description of this specification, the description with reference to the terms "one embodiment", "example", "specific example", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0114] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A method for evaluating the operating status of a networked monitoring garbage bin for a smart city, characterized in that: The following steps are involved: Collect equipment information and system information when the network-monitored trash bin is running; Comprehensively analyze equipment information and system information, establish a data analysis model, and generate an operation status evaluation index; Compare the operation status evaluation index with the operation status evaluation index, evaluate the operation status of the networked monitoring type garbage bin, and determine whether to issue an early warning prompt based on the evaluation results; A comprehensive analysis is conducted on the status assessment index generated by the networked monitoring trash bin during the maintenance process, and the maintenance results are identified.

2. A method for evaluating the operating status of a networked monitoring garbage bin for a smart city according to claim 1, characterized in that: The device information includes the abnormal operation time of the sensor and the maximum operating temperature of the battery. After collection, the abnormal operation time of the sensor and the maximum operating temperature of the battery are calibrated as CY x and SM x The system information includes the system data transmission stability coefficient and the sensor fault alarm frequency. After collection, the system data transmission rate coefficient and the sensor fault alarm frequency are calibrated as CSX respectively. x and GJP x .

3. A method for evaluating the operating status of a networked monitoring garbage bin for a smart city according to claim 2, characterized in that: The logic for obtaining the abnormal operation duration of the sensor is as follows: The operating voltage of the sensor within the time t is obtained and the voltage is calibrated as Vd. The voltage when the sensor is operating efficiently is set to a gradient range of Vmin~Vmax. The voltage Vd when the sensor is operating is compared with Vmin~Vmax. If Vd is not between Vmin~Vmax, the corresponding time is recorded, and the total recorded time is recorded as ty. Ty represents the total time that Vd is not between Vmin~Vmax within the time t. The expression for calculating the abnormal operating time of the sensor is: y represents the number of the sensor, y=1, 2, 3, 4, ..., N, where N is a positive integer.

4. A method for evaluating the operating status of a networked monitoring garbage bin for a smart city according to claim 3, characterized in that: The logic for obtaining the maximum battery operating temperature is as follows: The battery operating temperature at different times within a time t is obtained, and the battery operating temperature is calibrated as Wj, where j represents the number of the battery operating temperature at different times, j=1, 2, 3, 4, ..., m, and m is a positive integer. The battery operating temperatures at different times are obtained to establish a data set B, then B={Wj}={W1, W2, W3, ..., Wm}. After obtaining, the battery operating temperatures in the data set are sorted in order, and the maximum value of the battery operating temperature in the data set is selected. The maximum value of the battery operating temperature is calibrated as Wmax, and the basis for obtaining the maximum battery operating temperature is: SM x =Wmax.

5. A method for evaluating the operating status of a networked monitoring garbage bin for a smart city according to claim 4, characterized in that: The logic for obtaining the system data transmission stability coefficient is as follows: Obtain the data transmission rate at different times within time t, and calibrate the data transmission rate as Vq, where q represents the number of the data transmission rate, q = 1, 2, 3, 4, ..., h, and h is a positive integer. Obtain the system data transmission stability coefficient through the standard deviation of the obtained data transmission rate, and calibrate the standard deviation value of Vq as LS, then: , In the formula, is the average value of the data transmission rate at different times, LS is the standard deviation of the data transmission rate at different times, and the system data transmission stability coefficient CSX is obtained through the standard deviation of the data transmission rate at different times x .

6. A method for evaluating the operating status of a networked monitoring garbage bin for a smart city according to claim 5, characterized in that: The logic for obtaining the sensor fault alarm frequency is as follows: Get the number of sensor failures issued by the alarm system within time t, and calibrate the total number of sensor failures obtained as Ct. Then the expression for calculating the sensor failure alarm frequency is: GJP x =Ct / t; To obtain the total number of sensor failures reported by the alarm system, perform the following steps: S1: Use the management interface or application associated with the waste bin monitoring system to access the functions and settings of the alarm system; S2: In the alarm system interface, find the section or option related to the alarm history record; S3: Check the alarm of sensor failure within time t; S4: Based on the screening results, record the total number of sensor failures within time t.

7. A method for evaluating the operating status of a networked monitoring garbage bin for a smart city according to claim 6, characterized in that: Get the abnormal operation time of the sensor CY x 、Battery operating maximum temperature SM x , System data transmission rate coefficient CSX x And sensor fault alarm frequency GJP x After that, a data analysis model is established to generate the operation status evaluation index PGx, based on the formula: Where α, β, γ, and δ are the abnormal operation duration CY of the sensor respectively. x 、Battery operating maximum temperature SM x , System data transmission rate coefficient CSX x , Sensor failure alarm frequency GJP x The preset proportional coefficient is , and α, β, γ, and δ are all greater than 0.

8. A method for evaluating the operating status of a networked monitoring garbage bin for a smart city according to claim 7, characterized in that: After obtaining the operating status evaluation index of the networked monitored trash bin, the operating status evaluation index is compared with the operating status evaluation index reference threshold. If the operating status evaluation index is greater than or equal to the operating status evaluation index reference threshold, a low operating status signal is generated and sent to the mobile terminal, and an early warning is issued to remind maintenance personnel that the operating status of the networked monitored trash bin is poor and needs timely maintenance. If the operating status evaluation index is less than the operating status evaluation index reference threshold, a high operating status signal is generated and sent to the mobile terminal, and no early warning is issued.

9. A method for evaluating the operating status of a networked monitoring garbage bin for a smart city according to claim 8, characterized in that: During the maintenance period of the networked monitoring garbage bin, v operation status evaluation indexes PGx are obtained to establish a data set P, then P = {PGx} = {PG 1, PG 2, ..., PG v}, v is a positive integer, and the average value and discrete degree value of the v operation status evaluation indexes PGx are calculated; If the average value of the operation status evaluation index PGx is greater than or equal to the risk index reference threshold, a maintenance failure signal is generated and sent to the mobile terminal to remind the maintenance personnel that the network-monitored garbage bin maintenance has failed; If the average value of the operation status evaluation index PGx is less than the risk index reference threshold and the dispersion value is greater than or equal to the dispersion reference threshold, a maintenance instability signal is generated and sent to the mobile terminal for maintenance personnel to know. The maintenance instability signal indicates that the networked monitoring type garbage bin after maintenance is sometimes good and sometimes bad, and has poor stability, and further maintenance of the networked monitoring type garbage bin is required; If the average value of the operation status evaluation index PGx is less than the risk index reference threshold and the discreteness value is less than the discreteness reference threshold, a maintenance success signal is generated and sent to the mobile terminal to prompt the maintenance personnel that the networked monitoring garbage bin maintenance is successful; The calculation formula of the discrete degree value of the operating status evaluation index PGx in the above data set is: ； In the formula, is the average value of the operating status evaluation index PGx in the data set, and PX is the discrete degree value of the operating status evaluation index PGx in the data set.

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