Operation energy consumption intelligent detection system suitable for electronic monitoring equipment

Abstract

The invention belongs to the technical field of electronic monitoring equipment management, and particularly relates to an operation energy consumption intelligent detection system suitable for electronic monitoring equipment, which comprises a dust deposition tracing analysis module, an energy consumption upper limit accurate analysis module, an operation energy consumption evaluation module, an energy-saving stability decision module and a background supervision end, the energy consumption upper limit accurate analysis module is used for analyzing to determine the energy consumption upper limit threshold value of the electronic monitoring equipment, and the operation energy consumption evaluation module compares the energy consumption data of the electronic monitoring equipment in the detection period with the corresponding energy consumption upper limit threshold value to accurately judge the energy consumption exceeding condition of the electronic monitoring equipment. And the energy consumption performance of the electronic monitoring equipment in the monitoring period is analyzed through the energy-saving stability decision-making module, and the electronic monitoring equipment is maintained and replaced or supervised in an enhanced manner when the energy-saving stability abnormal signal is generated, so that the subsequent monitoring energy-saving performance and the operation safety are ensured, and the management difficulty of the electronic monitoring equipment is remarkably reduced.

Description

Technical Field

[0001] The invention relates to the technical field of electronic monitoring equipment management, and in particular to an intelligent detection system for operating energy consumption of electronic monitoring equipment. Background Art

[0002] Electronic monitoring equipment is widely used in enterprises, families, schools, hospitals, public places, industrial production, public safety and other fields. It mainly uses cameras to capture images and combines digital image processing technology, network transmission technology, etc. to achieve real-time monitoring of the monitored area, video storage, playback analysis and other functions;

[0003] With the widespread application of electronic monitoring equipment, its energy consumption problem has become increasingly prominent. At present, it is impossible to reasonably allocate matching judgment criteria when conducting energy consumption detection of electronic monitoring equipment, which is not conducive to ensuring the accuracy of energy consumption judgment results. It is also difficult to progressively analyze the energy-saving abnormal conditions and replacement urgency of electronic monitoring equipment, which increases the difficulty of managing electronic monitoring equipment and has a low degree of intelligence.

[0004] In view of the above technical defects, a solution is now proposed. Summary of the invention

[0005] The purpose of the present invention is to provide an intelligent detection system for operating energy consumption of electronic monitoring equipment, which solves the problem that the prior art cannot reasonably allocate matching judgment criteria for electronic monitoring equipment, is not conducive to ensuring the accuracy of energy consumption judgment results, and is difficult to progressively analyze energy-saving abnormalities and replacement urgency of electronic monitoring equipment, which increases the difficulty of managing electronic monitoring equipment and has a low level of intelligence.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] Applicable to the intelligent detection system of energy consumption of electronic monitoring equipment, including dust accumulation tracing analysis module, energy consumption upper limit accurate analysis module, operation energy consumption evaluation module, energy saving stability decision module and background supervision terminal;

[0008] The dust accumulation traceability analysis module traces and analyzes the dust accumulation status inside the electronic monitoring equipment, obtains the dust accumulation traceability detection value through analysis, and sends the dust accumulation traceability detection value to the energy consumption upper limit precision analysis module;

[0009] The energy consumption upper limit accurate analysis module determines the energy consumption upper limit threshold of the electronic monitoring equipment through analysis, and sends the energy consumption upper limit threshold of the electronic monitoring equipment to the operation energy consumption evaluation module and the background supervision end;

[0010] The operation energy consumption evaluation module monitors the operation energy consumption of the electronic monitoring equipment during the detection period, collects the energy consumption data of the electronic monitoring equipment during the detection period, compares the energy consumption data with the corresponding energy consumption upper limit threshold, and generates an energy consumption exceeding standard warning signal if the energy consumption data exceeds the corresponding energy consumption upper limit threshold, and sends the energy consumption exceeding standard warning signal to the background supervision end;

[0011] The energy-saving stability decision module is used to set the monitoring period, analyze the energy consumption performance of the electronic monitoring equipment within the monitoring period, generate an energy-saving stability qualified signal or an energy-saving stability abnormal signal through analysis, and send the energy-saving stability qualified signal or the energy-saving stability abnormal signal to the background supervision end; when the background supervision end receives the energy consumption exceeding standard warning signal or the energy-saving stability abnormal signal, it will issue a corresponding warning.

[0012] Furthermore, the specific analysis process of the dust accumulation traceability analysis module is as follows:

[0013] Collecting real-time dust concentration data of the environment in which the electronic monitoring device is located, comparing the real-time dust concentration data with a preset real-time dust concentration data threshold, and if the real-time dust concentration data exceeds the preset real-time dust concentration data threshold, determining that the electronic monitoring device is in a high-pollution surrounding state;

[0014] Obtain the time when the electronic monitoring device was cleaned and decontaminated internally last time and mark it as the cleaning interval time, and mark the interval between the current time and the cleaning interval time as the cleaning interval time;

[0015] The total duration that the electronic monitoring equipment is in a high-pollution surround state within the cleaning interval is obtained and marked as the total high-pollution time value, and the average of all real-time dust concentrations within the cleaning interval is calculated to obtain the dust surround detection value; the dust accumulation traceability value is obtained by numerically calculating the cleaning interval, the total high-pollution time value and the dust surround detection value.

[0016] Furthermore, the specific analysis process of the energy consumption upper limit precise analysis module is as follows:

[0017] The production date of the electronic monitoring equipment is collected, and the interval between the current date and the production date is marked as the production time; all single durations of the electronic monitoring equipment in the high temperature and humidity damage state during the historical operation stage are obtained, and the single duration is numerically compared with the preset single duration threshold, and the number of occurrences of the single duration in the historical operation stage exceeding the preset single duration threshold is marked as the high temperature and humidity damage amplitude-frequency value, and all single durations of the electronic monitoring equipment in the high temperature and humidity damage state during the historical operation stage are summed up to obtain the total temperature and humidity high damage time value;

[0018] Obtain the dust accumulation traceability detection value of the electronic monitoring equipment, and obtain the energy consumption judgment value by numerically calculating the production time, the temperature and humidity high loss amplitude and frequency value, the temperature and humidity high loss total time value and the dust accumulation traceability detection value; set several groups of preset energy consumption judgment value ranges in advance, and each group of preset energy consumption judgment value ranges corresponds to a group of energy consumption upper limit thresholds;

[0019] The energy consumption judgment value of the electronic monitoring device is compared with all preset energy consumption judgment value ranges one by one, the preset energy consumption judgment value range containing the energy consumption judgment value is marked as the matching range, and the energy consumption upper limit threshold corresponding to the matching range is marked as the energy consumption upper limit threshold of the electronic monitoring device.

[0020] Further, the analysis and judgment method of the high temperature and humidity damage state is as follows:

[0021] The real-time temperature of the electronic monitoring device is collected and marked as the temperature value of the monitoring device, and the real-time humidity of the environment in which the electronic monitoring device is located is collected and marked as the humidity value of the monitoring device. The temperature and humidity damage assessment value is obtained by weighted summing the monitoring device temperature value and the monitoring device humidity value. The temperature and humidity damage assessment value is numerically compared with the preset temperature and humidity damage assessment threshold. If the temperature and humidity damage assessment value exceeds the preset temperature and humidity damage assessment threshold, it is judged that the electronic monitoring device is in a high temperature and humidity damage state.

[0022] Furthermore, the specific analysis process of the energy-saving stability decision module includes:

[0023] The total energy consumption and total operation time of the electronic monitoring equipment during the monitoring period are obtained, and the ratio of the total energy consumption to the total operation time of the electronic monitoring equipment during the monitoring period is marked as an energy-saving abnormality value;

[0024] When an energy consumption exceeding standard warning signal is generated, the value exceeding the corresponding energy consumption data compared with the corresponding energy consumption upper limit threshold is marked as an energy consumption exceeding condition value; the total number of times the electronic monitoring equipment generates an energy consumption exceeding standard warning signal during the monitoring period is obtained and marked as the energy consumption exceeding standard frequency, and all energy consumption exceeding condition values ​​of the electronic monitoring equipment during the monitoring period are averaged to obtain the energy consumption exceeding inspection value;

[0025] The energy-saving stability coefficient is obtained by numerically calculating the energy-saving abnormality value, the energy consumption exceeding the table frequency and the energy consumption exceeding the inspection value, and the energy-saving stability coefficient is numerically compared with the preset energy-saving stability coefficient threshold. If the energy-saving stability coefficient exceeds the preset energy-saving stability coefficient threshold, an energy-saving stability abnormality signal is generated; if the energy-saving stability coefficient does not exceed the preset energy-saving stability coefficient threshold, an energy-saving stability qualified signal is generated.

[0026] Furthermore, the energy-saving stability decision module is communicatively connected to the replacement urgency assessment module. The energy-saving stability decision module sends the energy-saving stability abnormal signal to the replacement urgency assessment module. When the replacement urgency assessment module receives the energy-saving stability abnormal signal, it evaluates and analyzes the replacement urgency of the electronic monitoring equipment, generates a replacement high emergency signal or a replacement low emergency signal through analysis, and sends the replacement high emergency signal or the replacement low emergency signal to the background supervision end. When the background supervision end receives the replacement high emergency signal, it issues a corresponding warning.

[0027] Furthermore, the specific analysis process of replacing the urgency assessment module is as follows:

[0028] Collect all single durations during which the electronic monitoring equipment stops running due to faults during the monitoring period, mark the number of single durations that exceed the corresponding preset single duration threshold during the monitoring period as the abnormal high delay value of monitoring, and sum up all single durations during which the electronic monitoring equipment cannot run due to faults during the monitoring period to obtain the total duration value of poor monitoring;

[0029] The monitoring capture evaluation value of the electronic monitoring equipment during the monitoring period is obtained, and the replacement urgency coefficient is obtained by numerically calculating the monitoring capture evaluation value, the abnormal high delay value of monitoring, the total time value of poor monitoring and the energy-saving stability coefficient. The replacement urgency coefficient is numerically compared with the preset replacement urgency coefficient threshold. If the replacement urgency coefficient exceeds the preset replacement urgency coefficient threshold, a high-urgency replacement signal for the corresponding electronic monitoring equipment is generated; if the replacement urgency coefficient does not exceed the preset replacement urgency coefficient threshold, a low-urgency replacement signal for the corresponding electronic monitoring equipment is generated.

[0030] Furthermore, the replacement urgency assessment module is communicatively connected to the monitoring screen capture analysis module, which analyzes the monitoring performance of the electronic monitoring equipment within the monitoring period, obtains the monitoring capture evaluation value of the electronic monitoring equipment through analysis, and sends the monitoring capture evaluation value to the replacement urgency assessment module.

[0031] Further, the analysis and acquisition method of monitoring and capturing evaluation value is as follows:

[0032] Several detection time points are set within the monitoring cycle, the monitoring screen of the electronic monitoring device at the corresponding detection time point is obtained, the clarity, resolution and color reproduction of the corresponding monitoring screen are collected, and the clarity, resolution and color reproduction are compared with the corresponding preset data requirements respectively. If the clarity, resolution or color reproduction of the corresponding detection time point does not meet the corresponding preset data requirements, the corresponding detection time point is marked as a bad screen time point;

[0033] The ratio of the number of bad picture points during the monitoring period is obtained and marked as the picture monitoring anomaly value, and the number of occurrences when the consecutive number of bad picture points during the monitoring period exceeds the preset consecutive number threshold is marked as the high continuous frequency detection value, and the average transmission delay duration of the picture monitored by the electronic monitoring device during the monitoring period is obtained and marked as the monitoring delay value, and the monitoring capture evaluation value of the electronic monitoring device during the monitoring period is obtained by numerically calculating the picture monitoring anomaly value, the high continuous frequency detection value and the monitoring delay value.

[0034] Compared with the prior art, the present invention has the following beneficial effects:

[0035] 1. In the present invention, the dust accumulation condition inside the electronic monitoring device is traced and analyzed by the dust accumulation traceability analysis module to obtain the dust accumulation traceability detection value, which provides data support for the energy consumption upper limit precision analysis module. The energy consumption upper limit precision analysis module reasonably allocates the energy consumption upper limit threshold to the corresponding electronic monitoring device through analysis. The operation energy consumption evaluation module compares the energy consumption data of the electronic monitoring device during the detection period with the corresponding energy consumption upper limit threshold and determines whether to generate an energy consumption exceeding standard warning signal, thereby realizing accurate monitoring and evaluation of the energy consumption condition of the electronic monitoring device, which is conducive to ensuring the safe, stable and energy-saving operation of the electronic monitoring device;

[0036] 2. In the present invention, the energy consumption performance of the electronic monitoring equipment within the monitoring period is analyzed through the energy-saving stability decision module. When the energy-saving stability abnormal signal is generated, the replacement urgency of the electronic monitoring equipment is evaluated and analyzed through the replacement urgency assessment module to generate a replacement high emergency signal or a replacement low emergency signal. When the replacement high emergency signal is generated, the corresponding electronic monitoring equipment is replaced as soon as possible to ensure the subsequent monitoring effect, significantly reduce the management difficulty of the electronic monitoring equipment, and have a high degree of intelligence. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to facilitate understanding by those skilled in the art, the present invention is further described below in conjunction with the accompanying drawings;

[0038] Figure 1 This is a system block diagram of Embodiment 1 of the present invention;

[0039] Figure 2 This is a system block diagram of Embodiment 2 of the present invention. DETAILED DESCRIPTION

[0040] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0041] Embodiment 1: Figure 1 As shown, the intelligent detection system for operating energy consumption of electronic monitoring equipment proposed by the present invention includes a dust accumulation tracing analysis module, an energy consumption upper limit precision analysis module, an operating energy consumption evaluation module, an energy-saving stability decision module and a background supervision terminal;

[0042] The dust accumulation traceability analysis module traces and analyzes the dust accumulation status inside the electronic monitoring equipment, obtains the dust accumulation traceability detection value through analysis, and sends the dust accumulation traceability detection value to the energy consumption upper limit precision analysis module, providing data support for the energy consumption upper limit precision analysis module, ensuring the comprehensiveness of its analysis process and the accuracy of the analysis results; the specific analysis process of the dust accumulation traceability analysis module is as follows:

[0043] Collect real-time dust concentration data of the environment where the electronic monitoring device is located, compare the real-time dust concentration data with a preset real-time dust concentration data threshold, if the real-time dust concentration data exceeds the preset real-time dust concentration data threshold, it indicates that the cleanliness of the environment where the electronic monitoring device is located is poor, which easily leads to dust adhesion inside, and then judge that the electronic monitoring device is in a high-pollution surrounding state;

[0044] Obtain the time when the electronic monitoring device was cleaned and decontaminated internally last time and mark it as the cleaning interval time, and mark the interval between the current time and the cleaning interval time as the cleaning interval time;

[0045] The total time that the electronic monitoring device is in a high pollution surrounding state within the cleaning interval is obtained and marked as the total high pollution time value, and the average of all real-time dust concentrations within the cleaning interval is calculated to obtain the dust surrounding detection value;

[0046] The dust accumulation traceability value JP is obtained by numerically calculating the dust cleaning interval JM, the total high pollution time value JW and the dust surrounding detection value JR through the formula JP=hg1*JM+(hg2*JW+hg3*JR) / hg1; wherein, hg1, hg2, hg3 are preset proportional coefficients, hg3>hg2>hg1>0; and, the larger the value of the dust accumulation traceability value JP is, the more serious the dust accumulation pollution in the electronic monitoring equipment may be, the less conducive it is to the heat dissipation efficiency of the electronic monitoring equipment, and the more likely it is to increase its operating energy consumption.

[0047] The energy consumption upper limit accurate analysis module determines the energy consumption upper limit threshold of the electronic monitoring equipment through analysis, and sends the energy consumption upper limit threshold of the electronic monitoring equipment to the operation energy consumption assessment module and the background supervision end, so as to reasonably allocate the energy consumption upper limit threshold to the corresponding electronic monitoring equipment and improve the accuracy of its energy consumption analysis results; the specific analysis process of the energy consumption upper limit accurate analysis module is as follows:

[0048] The production date of the electronic monitoring equipment is collected, and the interval between the current date and the production date is marked as the production time; all single durations of the electronic monitoring equipment in the temperature and humidity high damage state during the historical operation stage are obtained, and the single duration is compared with the preset single duration threshold, and the number of occurrences of the single duration in the historical operation stage exceeding the preset single duration threshold is marked as the temperature and humidity high damage amplitude-frequency value, and all single durations of the electronic monitoring equipment in the temperature and humidity high damage state during the historical operation stage are summed up to obtain the temperature and humidity high damage total time value, and the dust accumulation traceability detection value of the electronic monitoring equipment is obtained;

[0049] By formula The production time SW, the temperature and humidity high loss amplitude-frequency value SY, the temperature and humidity high loss total time value SN and the dust accumulation traceability detection value SP are numerically calculated to obtain the energy consumption judgment value NP; wherein ng1, ng2, ng3, ng4 are preset proportional coefficients with values ​​greater than zero, and the larger the value of the energy consumption judgment value, the more serious the aging of the electronic monitoring equipment is, and the larger its operating energy consumption is relatively;

[0050] A plurality of preset energy consumption determination value ranges are set in advance, and each preset energy consumption determination value range corresponds to a set of energy consumption upper limit thresholds; wherein the energy consumption upper limit thresholds are all positive numbers, and the larger the value of the corresponding preset energy consumption determination value range is, the larger the value of the energy consumption upper limit threshold adapted thereto is;

[0051] The energy consumption judgment value NP of the electronic monitoring device is compared with all preset energy consumption judgment value ranges one by one, the preset energy consumption judgment value range containing the energy consumption judgment value NP is marked as a matching range, and the energy consumption upper limit threshold corresponding to the matching range is marked as the energy consumption upper limit threshold of the electronic monitoring device, thereby providing a judgment standard for the operation energy consumption analysis process of the electronic monitoring device and ensuring the accuracy of its analysis results.

[0052] Furthermore, the analysis and judgment method of the temperature and humidity high damage state is as follows: the real-time temperature of the electronic monitoring device is collected and marked as the temperature value of the monitoring device, and the real-time humidity of the environment in which the electronic monitoring device is located is collected and marked as the humidity value of the monitoring device. It should be noted that when the electronic monitoring device is in a high temperature or high humidity environment, it is easy to cause the aging and performance degradation of its internal components, thereby increasing its operating energy consumption; the temperature value WL of the monitoring device and the humidity value SL of the monitoring device are weighted and calculated by the formula WS=b1*WL+b2*SL to obtain the temperature and humidity damage assessment value WS;

[0053] Among them, b1 and b2 are preset weight coefficients with values ​​greater than zero, and the larger the value of the temperature and humidity damage assessment value WS is, the greater the damage suffered by the electronic monitoring equipment is relatively; the temperature and humidity damage assessment value is numerically compared with the preset temperature and humidity damage assessment threshold. If the temperature and humidity damage assessment value exceeds the preset temperature and humidity damage assessment threshold, it indicates that the damage suffered by the electronic monitoring equipment is relatively large, and the electronic monitoring equipment is judged to be in a high temperature and humidity damage state.

[0054] The operating energy consumption assessment module monitors the operating energy consumption of the electronic monitoring equipment during the detection period, collects the energy consumption data of the electronic monitoring equipment during the detection period, and compares the energy consumption data with the corresponding energy consumption upper limit threshold. If the energy consumption data exceeds the corresponding energy consumption upper limit threshold, it indicates that the operating energy consumption of the electronic monitoring equipment during the detection period is extremely high, and the probability of abnormal energy consumption is high. In this way, an energy consumption exceeding standard warning signal is generated, and the energy consumption exceeding standard warning signal is sent to the background supervision end. When the background supervision end receives the energy consumption exceeding standard warning signal, it issues a corresponding warning to remind management personnel to conduct cause investigation and analysis in time and make reasonable improvement measures to ensure the safe, stable and energy-saving operation of the electronic monitoring equipment.

[0055] The energy-saving stability decision module is used to set a monitoring period, preferably, the monitoring period is thirty-five days; analyze the energy consumption performance of the electronic monitoring equipment within the monitoring period, generate an energy-saving stability qualified signal or an energy-saving stability abnormal signal through analysis, and send the energy-saving stability qualified signal or the energy-saving stability abnormal signal to the background supervision end;

[0056] When the back-end monitoring terminal receives an abnormal signal of energy-saving stability, it will issue a corresponding warning. When the management personnel receive an abnormal stability signal, they can repair or replace the electronic monitoring equipment or strengthen supervision as needed to ensure the subsequent monitoring energy saving and operation safety, and significantly reduce the difficulty of managing electronic monitoring equipment. The specific analysis process of the energy-saving stability decision module is as follows:

[0057] The total energy consumption and total operation time of the electronic monitoring equipment during the monitoring period are obtained, and the ratio of the total energy consumption to the total operation time of the electronic monitoring equipment during the monitoring period is marked as an energy-saving abnormality value; wherein, the larger the value of the energy-saving abnormality value is, the more abnormal the operation energy consumption of the electronic monitoring equipment is;

[0058] When an energy consumption exceeding standard warning signal is generated, the value exceeding the corresponding energy consumption data compared with the corresponding energy consumption upper limit threshold is marked as an energy consumption exceeding condition value; the total number of times the electronic monitoring equipment generates an energy consumption exceeding standard warning signal during the monitoring period is obtained and marked as the energy consumption exceeding standard frequency, and all energy consumption exceeding condition values ​​of the electronic monitoring equipment during the monitoring period are averaged to obtain the energy consumption exceeding inspection value;

[0059] By formula The energy-saving stability coefficient XP is obtained by numerically calculating the energy-saving abnormality value XM, the energy consumption exceeding table frequency XF and the energy consumption exceeding detection value XQ; wherein fy1, fy2 and fy3 are preset proportional coefficients with values ​​greater than zero, and the larger the value of the energy-saving stability coefficient XP, the worse the energy-saving performance of the electronic monitoring equipment during the monitoring period;

[0060] The energy-saving stability coefficient XP is numerically compared with the preset energy-saving stability coefficient threshold. If the energy-saving stability coefficient XP exceeds the preset energy-saving stability coefficient threshold, it indicates that the energy-saving performance of the electronic monitoring equipment during the monitoring period is poor, and an energy-saving stability abnormality signal is generated; if the energy-saving stability coefficient XP does not exceed the preset energy-saving stability coefficient threshold, it indicates that the energy-saving performance of the electronic monitoring equipment during the monitoring period is good, and an energy-saving stability qualified signal is generated.

[0061] Embodiment 2: Figure 2 As shown, the difference between this embodiment and the first embodiment is that the energy-saving stability decision module is communicatively connected to the replacement urgency assessment module, the energy-saving stability decision module sends the energy-saving stability abnormality signal to the replacement urgency assessment module, and the replacement urgency assessment module evaluates and analyzes the replacement urgency of the electronic monitoring device when receiving the energy-saving stability abnormality signal, and generates a replacement high urgency signal or a replacement low urgency signal through analysis;

[0062] And the replacement high emergency signal or the replacement low emergency signal is sent to the background monitoring end. When the background monitoring end receives the replacement high emergency signal, it issues a corresponding warning. When the management personnel receive the replacement high emergency signal, they replace the corresponding electronic monitoring equipment as soon as possible to ensure the subsequent monitoring effect, further reduce the management difficulty of the electronic monitoring equipment, and have a high degree of intelligence. The specific analysis process of the replacement urgency assessment module is as follows:

[0063] Collect all single durations of electronic monitoring equipment stopping operation due to failure during the monitoring period (i.e., the data value of the duration of the corresponding stopping process), mark the number of single durations exceeding the corresponding preset single duration threshold during the monitoring period as the abnormal high delay value of monitoring, and sum up all single durations of electronic monitoring equipment failing to operate due to failure during the monitoring period to obtain the total duration of poor monitoring, and obtain the monitoring capture evaluation value of the electronic monitoring equipment during the monitoring period;

[0064] The replacement urgency coefficient TL is obtained by numerically calculating the monitoring capture evaluation value WP, the monitoring abnormal high delay value LX, the monitoring bad total time value LS and the energy-saving stability coefficient XP through the formula TL=(ku1*WP+ku2*LX+ku3*LS+ku4*XP) / 4; wherein ku1, ku2, ku3 and ku4 are preset proportional coefficients with values ​​greater than zero, and the larger the value of the replacement urgency coefficient TL is, the worse the comprehensive performance of the electronic monitoring equipment is, and the more it needs to be replaced as soon as possible;

[0065] The replacement urgency coefficient TL is numerically compared with the preset replacement urgency coefficient threshold. If the replacement urgency coefficient TL exceeds the preset replacement urgency coefficient threshold, it indicates that the overall performance of the electronic monitoring equipment is poor and the electronic monitoring equipment needs to be replaced as soon as possible, then a high urgency signal for replacement of the corresponding electronic monitoring equipment is generated; if the replacement urgency coefficient TL does not exceed the preset replacement urgency coefficient threshold, it indicates that the overall performance of the electronic monitoring equipment is good and the electronic monitoring equipment does not need to be replaced, then a low urgency signal for replacement of the corresponding electronic monitoring equipment is generated.

[0066] Embodiment 3: Figure 2 As shown, the difference between this embodiment and the first and second embodiments is that the replacement urgency assessment module is connected to the monitoring screen capture analysis module in communication, and the monitoring screen capture analysis module analyzes the monitoring performance of the electronic monitoring device within the monitoring period, obtains the monitoring capture evaluation value WP of the electronic monitoring device through analysis, and sends the monitoring capture evaluation value WP to the replacement urgency assessment module to provide data support for the replacement urgency assessment module, thereby ensuring the accuracy of its analysis results; the analysis and acquisition method of the monitoring capture evaluation value is as follows:

[0067] Several detection time points are set within the monitoring cycle, and the monitoring screen of the electronic monitoring device at the corresponding detection time point is obtained, and the clarity, resolution and color reproduction degree of the corresponding monitoring screen are collected (the smaller the value, the closer to the real color). If it is necessary to explain, the larger the values ​​of clarity and resolution and the smaller the value of color reproduction, the better the picture condition of the monitoring screen at the corresponding detection time point;

[0068] The clarity, resolution and color reproduction are compared with the corresponding preset data requirements respectively. If the clarity, resolution or color reproduction at the corresponding detection time point does not meet the corresponding preset data requirements, the corresponding detection time point is marked as a bad picture time point;

[0069] The ratio of the number of bad picture points in the monitoring period is obtained and marked as the picture monitoring abnormality value, and the number of occurrences of the consecutive number of bad picture points in the monitoring period exceeding the preset consecutive number threshold is marked as the high continuous frequency detection value, and the average transmission delay duration of the picture monitored by the electronic monitoring device in the monitoring period is obtained and marked as the monitoring delay value;

[0070] By formula The image monitoring value RN, the high-frequency detection value RX and the monitoring delay value RY are numerically calculated to obtain the monitoring capture value WP of the electronic monitoring equipment during the monitoring period; wherein su1, su2 and su3 are preset proportional coefficients whose values ​​are greater than zero, and the larger the value of the monitoring capture value WP is, the worse the monitoring effect of the electronic monitoring equipment during the monitoring period is.

[0071] The working principle of the present invention is as follows: when in use, the dust accumulation condition inside the electronic monitoring device is traced and analyzed through the dust accumulation tracing analysis module to obtain the dust accumulation tracing detection value, and provide data support for the energy consumption upper limit precise analysis module. The energy consumption upper limit precise analysis module determines the energy consumption upper limit threshold of the electronic monitoring device through analysis, and can reasonably allocate the energy consumption upper limit threshold to the corresponding electronic monitoring device, thereby improving the accuracy of its energy consumption analysis result. The operation energy consumption evaluation module compares the energy consumption data of the electronic monitoring device during the detection period with the corresponding energy consumption upper limit threshold and determines whether to generate an energy consumption exceeding standard warning signal. When the energy consumption exceeding standard warning signal is generated, the cause investigation and analysis is carried out and reasonable improvement measures are taken to ensure the safe, stable and energy-saving operation of the electronic monitoring device. The energy consumption performance of the electronic monitoring device within the monitoring period is analyzed through the energy-saving stability decision module to generate an energy-saving stability qualified signal or an energy-saving stability abnormal signal. When the energy-saving stability abnormal signal is generated, the electronic monitoring device can be repaired, replaced or strengthened supervision as needed to ensure the subsequent monitoring energy saving and operation safety, and significantly reduce the management difficulty of the electronic monitoring device.

[0072] The above formulas are all dimensionless and numerical calculations. The formula is a formula obtained by collecting a large amount of data and performing software simulation to obtain the most recent real situation. The preset parameters in the formula are set by technicians in this field according to actual conditions. 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 contents 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 technicians in the relevant technical field can understand and use the present invention well. The present invention is only limited by the claims and their full scope and equivalents.

Claims

1. Applicable to the intelligent detection system of energy consumption of electronic monitoring equipment, characterized in that: It includes dust accumulation traceability analysis module, energy consumption upper limit precision analysis module, operation energy consumption assessment module, energy saving stability decision module and background supervision terminal; The dust accumulation traceability analysis module traces and analyzes the dust accumulation status inside the electronic monitoring equipment, obtains the dust accumulation traceability detection value through analysis, and sends the dust accumulation traceability detection value to the energy consumption upper limit precision analysis module; The energy consumption upper limit accurate analysis module determines the energy consumption upper limit threshold of the electronic monitoring equipment through analysis, and sends the energy consumption upper limit threshold of the electronic monitoring equipment to the operation energy consumption evaluation module and the background supervision end; The operation energy consumption evaluation module monitors the operation energy consumption of the electronic monitoring equipment during the detection period, collects the energy consumption data of the electronic monitoring equipment during the detection period, compares the energy consumption data with the corresponding energy consumption upper limit threshold, and generates an energy consumption exceeding standard warning signal if the energy consumption data exceeds the corresponding energy consumption upper limit threshold, and sends the energy consumption exceeding standard warning signal to the background supervision end; The energy-saving stability decision module is used to set the monitoring period, analyze the energy consumption performance of the electronic monitoring equipment within the monitoring period, generate an energy-saving stability qualified signal or an energy-saving stability abnormal signal through analysis, and send the energy-saving stability qualified signal or the energy-saving stability abnormal signal to the background supervision end; when the background supervision end receives the energy consumption exceeding standard warning signal or the energy-saving stability abnormal signal, it will issue a corresponding warning.

2. The intelligent detection system for energy consumption of electronic monitoring equipment according to claim 1 is characterized in that: The specific analysis process of the dust accumulation traceability analysis module is as follows: Collecting real-time dust concentration data of the environment in which the electronic monitoring device is located, if the real-time dust concentration data exceeds a preset real-time dust concentration data threshold, it is determined that the electronic monitoring device is in a high-pollution surrounding state; Obtain the time when the electronic monitoring device was cleaned and decontaminated internally last time and mark it as the cleaning interval time, and mark the interval between the current time and the cleaning interval time as the cleaning interval time; The total duration that the electronic monitoring equipment is in a high-pollution surround state within the cleaning interval is obtained and marked as the total high-pollution time value, and the average of all real-time dust concentrations within the cleaning interval is calculated to obtain the dust surround detection value; the dust accumulation traceability value is obtained by numerically calculating the cleaning interval, the total high-pollution time value and the dust surround detection value.

3. The intelligent detection system for energy consumption of electronic monitoring equipment according to claim 1 is characterized in that: The specific analysis process of the energy consumption upper limit precise analysis module is as follows: The production date of the electronic monitoring equipment is collected, and the interval between the current date and the production date is marked as the production time; all single durations of the electronic monitoring equipment in the high temperature and humidity damage state during the historical operation stage are obtained, and the number of occurrences of the single duration in the historical operation stage exceeding the preset single duration threshold is marked as the high temperature and humidity damage amplitude-frequency value, and all single durations of the electronic monitoring equipment in the high temperature and humidity damage state during the historical operation stage are summed up to obtain the total temperature and humidity high damage time value; Obtain the dust accumulation traceability detection value of the electronic monitoring equipment, and obtain the energy consumption judgment value by numerically calculating the production time, the temperature and humidity high loss amplitude and frequency value, the temperature and humidity high loss total time value and the dust accumulation traceability detection value; set several groups of preset energy consumption judgment value ranges in advance, and each group of preset energy consumption judgment value ranges corresponds to a group of energy consumption upper limit thresholds; The energy consumption judgment value of the electronic monitoring device is compared with all preset energy consumption judgment value ranges one by one, the preset energy consumption judgment value range containing the energy consumption judgment value is marked as the matching range, and the energy consumption upper limit threshold corresponding to the matching range is marked as the energy consumption upper limit threshold of the electronic monitoring device.

4. The intelligent detection system for energy consumption of electronic monitoring equipment according to claim 3 is characterized in that: The analysis and judgment methods of high temperature and humidity damage status are as follows: The real-time temperature of the electronic monitoring device is collected and marked as the temperature value of the monitoring device, and the real-time humidity of the environment in which the electronic monitoring device is located is collected and marked as the humidity value of the monitoring device. The temperature and humidity damage assessment value is obtained by weighted summing the monitoring device temperature value and the monitoring device humidity value. If the temperature and humidity damage assessment value exceeds the preset temperature and humidity damage assessment threshold, it is judged that the electronic monitoring device is in a high temperature and humidity damage state.

5. The intelligent detection system for energy consumption of electronic monitoring equipment according to claim 1 is characterized in that: The specific analysis process of the energy-saving stability decision module includes: The energy-saving stability coefficient is obtained by numerically calculating the energy-saving abnormality value, the energy consumption exceeding the table frequency and the energy consumption exceeding the inspection value. If the energy-saving stability coefficient exceeds the preset energy-saving stability coefficient threshold, an energy-saving stability abnormality signal is generated; if the energy-saving stability coefficient does not exceed the preset energy-saving stability coefficient threshold, an energy-saving stability qualified signal is generated.

6. The intelligent detection system for energy consumption of electronic monitoring equipment according to claim 5 is characterized in that: The energy-saving stability decision module is communicatively connected to the replacement urgency assessment module. The energy-saving stability decision module sends the energy-saving stability abnormality signal to the replacement urgency assessment module. When the replacement urgency assessment module receives the energy-saving stability abnormality signal, it evaluates and analyzes the replacement urgency of the electronic monitoring equipment, generates a replacement high urgency signal or a replacement low urgency signal through analysis, and sends the replacement high urgency signal or the replacement low urgency signal to the background supervision end.

7. The intelligent detection system for energy consumption of electronic monitoring equipment according to claim 6 is characterized in that: The specific analysis process of replacing the urgency assessment module is as follows: The monitoring capture evaluation value of the electronic monitoring equipment in the monitoring period is obtained, and the replacement urgency coefficient is obtained by numerically calculating the monitoring capture evaluation value, the monitoring abnormal high delay value, the total monitoring bad time value and the energy-saving stability coefficient. If the replacement urgency coefficient exceeds the preset replacement urgency coefficient threshold, a replacement high urgency signal of the corresponding electronic monitoring equipment is generated; If the replacement urgency coefficient does not exceed the preset replacement urgency coefficient threshold, a replacement low urgency signal for the corresponding electronic monitoring device is generated.

8. The intelligent detection system for energy consumption of electronic monitoring equipment according to claim 7 is characterized in that: The replacement urgency assessment module is communicatively connected to the monitoring screen capture and analysis module. The monitoring screen capture and analysis module analyzes the monitoring performance of the electronic monitoring equipment within the monitoring period, obtains the monitoring capture and evaluation value of the electronic monitoring equipment through the analysis, and sends the monitoring capture and evaluation value to the replacement urgency assessment module.

9. The intelligent detection system for energy consumption of electronic monitoring equipment according to claim 8 is characterized in that: The analysis and acquisition method of monitoring and capturing evaluation value is as follows: A number of detection time points are set within the monitoring period, and the proportion of the number of time points with poor picture quality within the monitoring period is obtained and marked as the picture monitoring anomaly value, and the number of occurrences when the consecutive number of poor picture time points within the monitoring period exceeds a preset consecutive number threshold is marked as a high continuous frequency detection value, and the average transmission delay duration of the picture monitored by the electronic monitoring equipment within the monitoring period is obtained and marked as the monitoring delay value, and the monitoring capture evaluation value of the electronic monitoring equipment during the monitoring period is obtained by numerically calculating the picture monitoring anomaly value, the high continuous frequency detection value and the monitoring delay value.

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