A monitoring method and system for intelligent security remote monitoring equipment

Abstract

The present invention discloses a method and system for monitoring intelligent security remote monitoring equipment, wherein the method comprises: obtaining a timing cycle T and a historical fault number N of a remote monitoring equipment, screening out problematic equipment, setting an initial detection cycle T p ; Set the detection node according to the detection cycle. When the dispatch center is at the test node, it sends a detection command to the problem device. After receiving the detection command, the problem device packages the collected data and sends it to the dispatch center. The dispatch center determines whether the problem device is faulty based on the decompressed data; obtain the time when the problem device fails in the historical data, generate a set U, and calculate the device failure volatility S; calculate the detection cycle T according to the formula p , at the end of the current timing period, update the detection period T p , reset the detection node, and start the next timing cycle. The present invention solves the problem that it is impossible to find out the failure of the remote monitoring equipment in time.

Description

Technical Field

[0001] The present invention relates to the field of remote monitoring technology, and in particular to a monitoring method and system for intelligent security remote monitoring equipment. Background Art

[0002] Remote monitoring equipment is an important innovation in modern technology. It enables remote monitoring and control of equipment through the network. It is currently widely used in many fields, such as industrial production, smart home, public safety, etc., to improve management efficiency, ensure the normal operation of equipment and enhance safety. Remote monitoring equipment monitors the entire system through the cooperation of sensors and dispatch centers. With the development of Internet of Things technology, remote monitoring equipment has become more and more popular and important.

[0003] The remote monitoring system is mainly composed of remote monitoring equipment and a dispatch center. The remote monitoring equipment is responsible for collecting data and transmitting the collected data to the dispatch center. The dispatch center manages multiple remote monitoring equipment through the network to achieve comprehensive monitoring of the entire system. In order to save the processing pressure of the dispatch center, the system sets a timing cycle. When the timing cycle of the remote monitoring equipment ends, the collected data will be sent to the dispatch center for processing.

[0004] In the prior art, the timing cycle of the remote monitoring device is determined by the system. After one timing cycle ends, the next timing cycle starts immediately, and this process is repeated continuously. At the end of each timing cycle, the remote monitoring device sends the data collected during the timing cycle to the dispatch center. If the remote monitoring device is damaged, the data cannot be sent back to the dispatch center. If the dispatch center does not receive the data within the specified time, it is considered that the remote monitoring device is damaged; during the timing cycle, the interaction between the remote monitoring device and the dispatch center is limited, and the equipment failure cannot be discovered during this period. The timing cycle is set too long, resulting in the dispatch center being unable to discover the equipment failure in time. Summary of the invention

[0005] The purpose of the present invention is to provide a monitoring method and system for intelligent security remote monitoring equipment to solve the above technical problems.

[0006] The purpose of the present invention can be achieved through the following technical solutions:

[0007] A method for monitoring an intelligent security remote monitoring device comprises the following steps:

[0008] Obtain the timing cycle T and historical fault count N of the remote monitoring device, select the remote monitoring devices with fault count N ≥ n and mark them as problematic devices, where n is the preset fault threshold. The dispatch center sets a detection cycle T p , set the initial value of the detection cycle to T p =T / N;

[0009] Set the detection nodes in the current timing cycle, and the interval between adjacent detection nodes is T p When the detection node is reached, the dispatch center sends a detection instruction to the problematic device. After receiving the detection instruction, the problematic device packages the data collected in the current timing period and sends it to the dispatch center. The dispatch center decompresses the packaged data and determines whether the problematic device has a fault based on the decompressed data.

[0010] If the problem device does not fail in the current timing cycle, the next timing cycle is entered and the detection cycle is adjusted. The specific adjustment process is as follows:

[0011] Obtain the time when the problem equipment fails in the historical data, sort them according to the order of failure occurrence to generate a data set U = (U1, U2, ..., U i , ..., U N ), where U i =T i -T is , T i represents the time when the i-th failure occurs, T is Indicates the start time of the timing cycle corresponding to the i-th fault;

[0012] Calculate the failure fluctuation rate S, the calculation formula of S is:

[0013] Among them, U y is the preset expected value, t is one unit of standard time;

[0014] Recalculate the detection period T according to the formula p , the calculation formula is:

[0015] Among them, N p Represents the number of timing cycles between the current timing cycle and the timing cycle of the most recent device failure, and updates the detection cycle T p , reset the detection node and start the next timing cycle.

[0016] As a further solution of the present invention: when calculating the detection period T p During the process, when T p >T, let the detection period T p =T.

[0017] As a further solution of the present invention: in the calculation process of the fault fluctuation rate S, when S<1, the fault fluctuation rate S=1.

[0018] As a further solution of the present invention: according to the calculation result of the fault fluctuation rate S, if S=1, at the beginning of the distance timing period, node U y An additional detection node is set up at each location.

[0019] As a further solution of the present invention: after receiving the detection instruction, the problematic device packages the data collected by the previous detection node and the detection node and sends them to the dispatching center.

[0020] As a further solution of the present invention: the detection period T is calculated by another formula: p , the formula is:

[0021] Where ΔN=N p -N, Max (ΔN, 1) means taking the maximum value between ΔN and 1.

[0022] As a further solution of the present invention: setting the waiting time T wait , waiting time T wait The value range is T p / 2<T wait <T p After the dispatch center sends the inspection command, it enters the waiting time. If it does not receive the data packaged by the problem device during the waiting time, it is determined that the problem device has failed, stops sending the inspection command, and notifies the staff to repair the equipment. According to the updated T p Reset waiting time T wait .

[0023] An intelligent security remote monitoring equipment monitoring system, comprising:

[0024] Remote monitoring equipment: The remote monitoring equipment performs data collection tasks according to the system preset timing cycle T, and after completing a timing cycle collection task, the collected data is packaged and transmitted to the dispatch center. If the remote monitoring equipment fails, the data cannot be transmitted.

[0025] Dispatching center: obtains the timing cycle T and historical fault count N of the remote monitoring device, selects the remote monitoring devices with fault count N ≥ n and marks them as problematic devices, where n is the preset fault threshold. The dispatching center sets a detection cycle T p , set the initial value of the detection cycle to T p =T / N.

[0026] Set the detection nodes in the current timing cycle, and the interval between adjacent detection nodes is T pWhen the detection node is reached, the dispatch center sends a detection instruction to the problematic device. After receiving the detection instruction, the problematic device packages the data collected from the start of the timing cycle to the current time and sends it to the dispatch center. The dispatch center decompresses the packaged data and determines whether the problematic device has a fault based on the decompressed data.

[0027] Obtain the time when the problem equipment fails in the historical data, sort them according to the order of failure occurrence to generate a data set U = (U1, U2, ..., U i , ..., U N ), where U i =T i -T is , T i represents the time when the i-th failure occurs, T is Indicates the start time of the timing cycle corresponding to the i-th fault;

[0028] Calculate the failure fluctuation rate S, the calculation formula of S is:

[0029] Among them, U y is the preset expected value, t is one unit of standard time;

[0030] Recalculate the detection period T according to the formula p , the calculation formula is:

[0031] At the end of the current timing period, the detection period T is updated. p and the value of the number of faults N, reset the detection node, and start the next timing cycle.

[0032] Beneficial effects of the present invention: In the present invention, the detection frequency of the problem equipment is increased by calculating the detection cycle and setting the detection nodes, and whether the problem equipment is faulty is determined based on the data packaged by the problem equipment, and the detection cycle is dynamically adjusted based on the result. Compared with the prior art, the problem of failure to detect faults in time is solved, and the present invention has the function of dynamic adjustment by analyzing the detection results and adjusting the detection cycle. This solution not only solves the problem that the dispatch center cannot detect the failure of the remote monitoring equipment in time, but also saves network resources to a certain extent. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] The present invention will be further described below in conjunction with the accompanying drawings.

[0034] Figure 1 The present invention is a flowchart of a monitoring method for intelligent security remote monitoring equipment. DETAILED DESCRIPTION

[0035] 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.

[0036] See also Figure 1 As shown, the present invention is a monitoring method for intelligent security remote monitoring equipment, comprising the following steps:

[0037] Obtain the timing cycle T and historical fault count N of the remote monitoring device, select the remote monitoring devices with fault count N ≥ n and mark them as problematic devices, where n is the preset fault threshold. The dispatch center sets a detection cycle T p , set the initial value of the detection cycle to T p =T / N;

[0038] Set the detection nodes in the current timing cycle, and the interval between adjacent detection nodes is T p When the detection node is reached, the dispatch center sends a detection instruction to the problematic device. After receiving the detection instruction, the problematic device packages the data collected in the current timing period and sends it to the dispatch center. The dispatch center decompresses the packaged data and determines whether the problematic device has a fault based on the decompressed data.

[0039] If the problem device does not fail in the current timing cycle, the next timing cycle is entered and the detection cycle is adjusted. The specific adjustment process is as follows:

[0040] Obtain the time when the problem equipment fails in the historical data, sort them according to the order of failure occurrence to generate a data set U = (U1, U2, ..., U i , ..., U N ), where U i =T i -T is , T i represents the time when the i-th failure occurs, T is Indicates the start time of the timing cycle corresponding to the i-th fault;

[0041] Calculate the failure fluctuation rate S, the calculation formula of S is:

[0042] Among them, U y is the preset expected value, t is one unit of standard time;

[0043] Recalculate the detection period T according to the formula p , the calculation formula is:

[0044] Among them, N p Represents the number of timing cycles between the current timing cycle and the timing cycle of the most recent device failure, and updates the detection cycle T p , reset the detection node and start the next timing cycle.

[0045] First of all, it is worth noting that, as mentioned in the background technology, the timing cycle of the remote monitoring system is set by the system. When the dispatch center screens the problem equipment, the screening criterion is whether the number of failures of the remote monitoring equipment exceeds the preset failure threshold. The equipment marked as a problem equipment indicates that the working state of the remote monitoring equipment is unstable and the probability of failure is high. In order to timely discover the failure of the remote monitoring equipment and avoid occupying too many resources for monitoring equipment failure, therefore, in the present invention, the detection cycle is only adjusted for the problem equipment whose number of failures exceeds the failure threshold.

[0046] In a preferred embodiment of the present invention, the detection period T p The value has an upper limit, and the detection period T is calculated by the formula p , when T p >T, let the detection period T p =T; In this preferred embodiment, the present invention provides for setting the detection node within the timing period. If the calculated detection period is greater than the timing period, the detection node cannot be set within the timing period. This is different from the specific adjustment process of the present invention. Therefore, T p =T.

[0047] In a preferred embodiment of the present invention, during the calculation of the fault fluctuation rate S, when S < 1, the fault fluctuation rate S is set to 1, and the node U is y An additional detection node is set at this preferred embodiment; in some special cases in the present invention, the time when the problem equipment fails in the historical data is obtained, if the failure fluctuation rate S obtained by calculation is less than 1, in the calculation detection period T p This may cause T p >T, then it is meaningless to set the detection nodes according to the detection cycle, and y An additional detection node is set up at this time point to strengthen the detection of problematic devices at this time point.

[0048] It should be noted that the detection cycle T p There are different reasons why it is greater than T. One is that the problem equipment has not failed. By calculating the detection cycle T p Gradually increases, resulting in T p >T; the other is due to U y Special circumstances caused by unreasonable settings.

[0049] In a preferred embodiment of the present invention, after the problematic device receives the detection instruction, it packages the data collected by the previous detection node and the detection node and sends them to the dispatching center; in this preferred scheme, the data collected by the previous detection node and the detection node are packaged, with the aim of reducing the packaging of duplicate data, which is used to reduce network pressure and save network resources when network resources are tight.

[0050] In a preferred embodiment of the present invention, the detection period T is calculated by another formula: p , the formula is:

[0051] Where ΔN=N p -N, Max (ΔN, 1) means taking the maximum value between ΔN and 1; in this preferred solution, for the detection period T p When the faulty device does not fail within the specified number of timing cycles, a new detection cycle is calculated by the formula;

[0052] The difference between the two schemes is that the original scheme focuses on smooth adjustment of detection time and is suitable for fault times N<N 标 The optimal solution focuses on key detection of problem equipment, and the number of failures N>N 标 The device in question, where N 标 is the default value.

[0053] In a preferred embodiment of the present invention, the waiting time T is set wait , waiting time T wait The value range is T p / 2<T wait <T p After the dispatch center sends the inspection command, it enters the waiting time. If it does not receive the data packaged by the problem device during the waiting time, it is determined that the problem device has failed, stops sending the inspection command, and notifies the staff to repair the equipment. According to the updated T p Reset waiting time T wait ; The purpose of this preferred embodiment is to avoid misjudgment by the dispatch center.

[0054] It should be noted that in actual processes, the time consumed for data transmission is not taken into consideration in the present invention.

[0055] An intelligent security remote monitoring equipment monitoring system, comprising:

[0056] Remote monitoring equipment: The remote monitoring equipment performs data collection tasks according to the system preset timing cycle T, and after completing a timing cycle collection task, the collected data is packaged and transmitted to the dispatch center. If the remote monitoring equipment fails, the data cannot be transmitted.

[0057] Dispatching center: obtains the timing cycle T and historical fault count N of the remote monitoring device, selects the remote monitoring devices with fault count N ≥ n and marks them as problematic devices, where n is the preset fault threshold. The dispatching center sets a detection cycle T p , set the initial value of the detection cycle to T p =T / N.

[0058] Set the detection nodes in the current timing cycle, and the interval between adjacent detection nodes is T p When the detection node is reached, the dispatch center sends a detection instruction to the problematic device. After receiving the detection instruction, the problematic device packages the data collected from the start of the timing cycle to the current time and sends it to the dispatch center. The dispatch center decompresses the packaged data and determines whether the problematic device has a fault based on the decompressed data.

[0059] Obtain the time when the problem equipment fails in the historical data, sort them according to the order of failure occurrence to generate a data set U = (U1, U2, ..., U i , ..., U N ), where U i =T i -T is , T i represents the time when the i-th failure occurs, T is Indicates the start time of the timing cycle corresponding to the i-th fault;

[0060] Calculate the failure fluctuation rate S, the calculation formula of S is:

[0061] Among them, U y is the preset expected value, t is one unit of standard time;

[0062] Recalculate the detection period T according to the formula p , the calculation formula is:

[0063] At the end of the current timing period, the detection period T is updated. p and the value of the number of faults N, reset the detection node, and start the next timing cycle.

[0064] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A monitoring method for intelligent security remote monitoring equipment, characterized in that: The following steps are involved: Obtain the timing cycle T and historical fault count N of the remote monitoring device, select the remote monitoring devices with historical fault count N ≥ n and mark them as problematic devices, where n is the preset fault threshold. The dispatch center sets a detection cycle T p , set the initial value of the detection cycle to T p =T / N; Set the detection nodes in the current timing cycle, and the interval between adjacent detection nodes is T p When the detection node is reached, the dispatch center sends a detection instruction to the problematic device. After receiving the detection instruction, the problematic device packages the data collected in the current timing period and sends it to the dispatch center. The dispatch center decompresses the packaged data and determines whether the problematic device has a fault based on the decompressed data. If the problem device does not fail in the current timing cycle, the next timing cycle is entered and the detection cycle is adjusted. The specific adjustment process is as follows: Obtain the time when the problem equipment fails in the historical data, sort them according to the order of failure occurrence to generate a data set U = (U1, U2, ..., U i , ..., U N ), where U i =T i -T is , T i represents the time when the i-th failure occurs, T is Indicates the start time of the timing cycle corresponding to the i-th fault; Calculate the failure fluctuation rate S, the calculation formula of S is: Among them, U y is the preset expected value, t is one unit of standard time; Recalculate the detection period T according to the following formula p , the calculation formula is: Among them, N p Represents the number of timing cycles between the current timing cycle and the timing cycle of the most recent device failure, and updates the detection cycle T p , reset the detection node and start the next timing cycle.

2. The intelligent security remote monitoring device monitoring method according to claim 1 is characterized in that: In calculating the detection period T p During the process, when T p >T, let the detection period T p =T.

3. The intelligent security remote monitoring device monitoring method according to claim 1 is characterized in that: In the calculation process of the fault fluctuation rate S, when S<1, the fault fluctuation rate S=1.

4. The intelligent security remote monitoring device monitoring method according to claim 3 is characterized in that: According to the calculation results of the fault fluctuation rate, if S=1, at the beginning of the distance timing cycle, node U y An additional detection node is set up at each location.

5. The method for monitoring a smart security remote monitoring device according to claim 1, characterized in that: After receiving the detection instruction, the problematic device packages the data collected by the previous detection node and the detection node and sends them to the dispatch center.

6. The method for monitoring a remote monitoring device for intelligent security according to claim 1, characterized in that: Another formula can be used to calculate the detection period T p , the formula is: Where ΔN=N p -N, Max (ΔN, 1) means taking the maximum value between ΔN and 1.

7. The method for monitoring a smart security remote monitoring device according to claim 1, characterized in that: Set the waiting time T wait , waiting time T wait The value range is T p / 2<T wait <T p After the dispatch center sends the inspection command, it enters the waiting time. If it does not receive the data packaged by the problem device during the waiting time, it is determined that the problem device has failed, stops sending the inspection command, and notifies the staff to repair the equipment. According to the updated T p Reset waiting time T wait .

8. An intelligent security remote monitoring equipment monitoring system, characterized in that: Including: Remote monitoring equipment: The remote monitoring equipment performs data collection tasks according to the preset timing cycle T of the system, and after completing a collection task of a timing cycle, the collected data is packaged and transmitted to the dispatch center. If the remote monitoring equipment fails, the data cannot be transmitted; Dispatching center: Obtain the timing cycle T and the number of historical failures N of the remote monitoring equipment, and select the remote monitoring equipment with the number of historical failures N ≥ n and mark them as problem equipment, n The dispatch center sets a detection period Tp for the preset fault threshold, and sets the initial value of the detection period to Tp=T / N; sets detection nodes in the current timing period, and the interval between adjacent detection nodes is Tp. When reaching the detection node, the dispatch center sends a detection instruction to the problem device. After receiving the detection instruction, the problem device packages the data collected from the start time of the timing period to the current time and sends it to the dispatch center. The dispatch center decompresses the packaged data and determines whether the problem device has a fault based on the decompressed data; obtains the time when the problem device fails in the historical data, and sorts them according to the order of failure to generate a data set U=(U1, U2, ..., Ui, ..., UN), where Ui=Ti-Tis, Ti represents the time when the i-th fault occurs, and Tis represents the start time of the timing period corresponding to the i-th fault; calculates the fault volatility S, and the calculation formula of S is: Among them, U y is the preset expected value, t is one unit of standard time; Recalculate the detection period T according to the following formula p , the calculation formula is: At the end of the current timing period, the detection period T is updated. p and the value of the number of faults N, reset the detection node, and start the next timing cycle.

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