Intelligent monitoring method and system for security power supply, and medium
By integrating sensors in the security power supply system, real-time monitoring and analysis of multiple parameter information, and generating real-time alarm values and early warning risk values, the problem that the existing technology cannot alarm potential problems is solved, and the ability to accurately monitor and detect abnormalities early is achieved.
Patent Information
- Application Number
- CN202411732522.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-29
- Publication Date
- 2025-06-06
AI Technical Summary
The existing security power monitoring methods cannot alarm potential problems, and the judgment is not accurate enough when affected by environmental factors, which is prone to misjudgment.
Integrate sensors in the security power system to monitor the environment and working parameter information in real time, transmit data to the remote monitoring center through wireless transmission technology, combine multiple parameter information for comprehensive analysis, generate real-time alarm values and early warning risk values, judge whether abnormal alarm commands are generated, and switch to backup power.
By comprehensively analyzing multiple parameter information, the detection errors are reduced and monitoring accuracy can be improved. Potential abnormal problems can be detected early, and abnormal occurrences can be reduced, and the normal and stable operation of the security system can be ensured.
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Figure CN120109993A_ABST
Abstract
Description
Technical Field
[0001] The present invention belongs to the technical field of security power supply monitoring, and in particular relates to an intelligent monitoring method, system and medium for security power supply. Background Art
[0002] Security power supply refers to a power supply system that is specially designed to provide stable and reliable power supply for security equipment. In security systems, the stability and reliability of power supply are crucial, because any power failure may cause the failure of key equipment such as monitoring systems, alarm systems, access control systems, etc., thus affecting the effectiveness of security prevention.
[0003] The existing method for monitoring security power supplies is generally to set some alarm thresholds and monitor the quality of the security power supply according to the alarm thresholds. However, when the alarm occurs, the security power supply has already become abnormal, and an alarm can only be issued for problems that have already occurred, but not for potential problems. In addition, due to the influence of environmental factors, judgment based only on a certain alarm threshold is not accurate enough and is prone to misjudgment. Summary of the invention
[0004] The object of the present invention is to provide a method, system and medium for intelligent monitoring of security power supply, so as to solve the problems faced in the above-mentioned background technology.
[0005] The purpose of the present invention can be achieved through the following technical solutions:
[0006] An intelligent monitoring method for a security power supply, the monitoring method comprising:
[0007] Step 1: Integrate various sensors into the security power supply system to monitor and obtain parameter information related to the security power supply in real time;
[0008] Step 2: Using wireless transmission technology to transmit the collected parameter information to the remote monitoring center;
[0009] Step 3: The remote monitoring center processes and analyzes the acquired parameter information to generate a real-time alarm value and a warning risk value, and determines whether to generate an abnormal alarm instruction based on the size of the real-time alarm value and the warning risk value;
[0010] Step 4: When an abnormal alarm command is generated, a corresponding alarm is issued and the security power supply is switched to the backup power supply.
[0011] Furthermore, the parameter information includes environmental parameter information and working parameter information. The environmental parameter information includes the temperature value and humidity value of the location where the security power supply is located, the dust concentration value on the security power supply and the vibration frequency of the security power supply. The working parameter information includes the current value and voltage value generated by the security power supply and the temperature value of the power supply.
[0012] Furthermore, the method for generating the abnormal alarm instruction in step three is:
[0013] Obtain the current value I generated by the security power supply in real time X , voltage value U X And the temperature value T X , so through formula D X =α 1 *|I X -I X0 |+α 2 *|U X -U X0 |+α 3 *|T X -T X0 |Get the real-time alarm value D X ;
[0014] The real-time alarm value D X The preset real-time alarm threshold D Xth To compare:
[0015] When D X >D Xth When , an abnormal alarm instruction is generated;
[0016] Among them, I X0 It is the preset standard current value when the security power supply is working, U X0 It is the preset standard voltage value when the security power supply is working. X0 It is the preset standard temperature value when the security power supply is working. 1 , α 2 and α 3 are the preset weight coefficients for each.
[0017] Furthermore, the method for generating an abnormal alarm instruction in step three also includes:
[0018] In D X ≤D Xth In this state, the voltage value, current value and temperature value of the security power supply under charging condition are obtained, and a curve U of the voltage value of the security power supply under charging condition is drawn up. C (t), current variation curve with time I C (t) and the temperature versus time curve T C (t);
[0019] So through the formula The charging status value S is obtained C ;
[0020] Among them, t 1 is the charging start time, t2 is the charging end time, a 1 、a 2 and a 3 are their respective weight coefficients, U C 0(t),I C 0(t), and T C 0(t) are respectively the standard voltage value changing with time curve, the standard current value changing with time curve and the standard temperature changing with time curve preset by the security power supply under charging condition;
[0021] At the same time, when the security power supply is discharged, the voltage value, current value and temperature value of the security power supply are obtained at intervals over time. D (t), I D (t), T D (t), thereby obtaining the voltage difference value ΔU, current difference value ΔI and temperature difference value ΔT in each time interval, and through the formula B = β 1 *ΔU+β 2 *ΔI+β 3 *ΔT obtains the comprehensive difference value B of each time period, and according to the comprehensive difference value at n time intervals, draws up a curve B(x) of the comprehensive difference value B changing with time interval x;
[0022] So through the formula The discharge status value S is obtained D ;
[0023] Then through the formula Obtain the early warning risk value DR of the security power supply;
[0024] The obtained early warning risk value DR is compared with the preset early warning risk threshold DR th To compare:
[0025] When DR>DR th When , an abnormal alarm instruction is generated;
[0026] Among them, β 1 , β 2 , β 3 are their respective weight coefficients, B i is the comprehensive value of the difference at the i-th time interval, And i∈[1,n],x 1 is the first time interval, x 2 is the last time interval, max B is the maximum difference comprehensive value, min B is the minimum difference comprehensive value, B th is the preset comparison difference, is the environmental impact coefficient, τ1 and τ 2 The respective proportionality coefficients.
[0027] Furthermore, the voltage difference value ΔU, the current difference value ΔI and the temperature difference value ΔT are obtained by:
[0028] By formula The voltage difference value ΔU is obtained;
[0029] By formula The current difference value ΔI is obtained;
[0030] By formula Obtain the temperature difference value ΔT;
[0031] Among them, t a is the start time of the set time interval, t b The end time of the set time interval, U D 0(t),I D 0(t),T D 0(t) are standard curves of the voltage value, current value and temperature value preset over time during the time interval under the discharge condition of the security power supply.
[0032] Furthermore, the environmental impact coefficient The acquisition method is:
[0033] Install dust sensors at several key locations of the security power supply to obtain the dust concentration F at each location j , so that through the formula Dust factor
[0034] By formula Environmental Impact Factor
[0035] Among them, E H E is the humidity value of the location where the security power supply is located. T is the temperature value of the location of the security power supply, z is the vibration frequency of the security power supply when it is working, E T0 and E H0 are the optimal temperature and humidity values of the preset security power supply working environment, m is the total number of installed dust sensors, and j∈[1,m], max F is the maximum dust concentration, and p is the number of dust sensors whose detected dust concentration is higher than the average dust concentration.
[0036] An intelligent monitoring system for a security power supply, the system comprising:
[0037] A data acquisition module, which is used to monitor and obtain parameter information related to the security power supply;
[0038] A transmission module, wherein the transmission module is used to transmit the acquired parameter information to a remote monitoring center;
[0039] A remote monitoring center, which is used to analyze and process the acquired parameter information, thereby determining whether to generate an abnormal alarm instruction to perform abnormal detection on the security power supply;
[0040] Execution module, when an abnormal alarm instruction is generated, the execution module will issue a corresponding alarm and switch the security power supply to the backup power supply.
[0041] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the above-mentioned intelligent monitoring method for security power supply.
[0042] Beneficial effects of the present invention:
[0043] The present invention obtains multiple parameter information of the security power supply, including the environmental parameter information and the working parameter information of the security power supply, and performs comprehensive analysis in combination with these parameters to determine whether the security power supply is abnormal, thereby reducing the detection error and making the monitoring of the security power supply more accurate.
[0044] The present invention can not only give a real-time alarm for the security power supply but also make risk early warning judgments. The potential risks of the security power supply can be judged by the conditions of the security power supply during charging and discharging, so as to discover potential abnormal problems early and deal with them in time to reduce the occurrence of abnormalities, thereby ensuring the normal and stable operation of security.
[0045] Of course, any product implementing the present invention does not necessarily need to achieve all of the advantages described above at the same time. BRIEF DESCRIPTION OF THE DRAWINGS
[0046] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.
[0047] Figure 1 is a flow chart of the method of the present invention;
[0048] Figure 2 It is a system block diagram of the present invention. DETAILED DESCRIPTION
[0049] 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.
[0050] In one embodiment, a method for intelligent monitoring of a security power supply is disclosed, such as Figure 1 As shown, the monitoring method includes:
[0051] Step 1: Integrate various sensors in the security power supply system to monitor and obtain parameter information related to the security power supply in real time. The parameter information includes environmental parameter information and working parameter information. The environmental parameter information includes the temperature and humidity values of the location where the security power supply is located, the dust concentration value on the security power supply, and the vibration frequency of the security power supply. The working parameter information includes the current value, voltage value, and temperature value generated by the security power supply.
[0052] Step 2: Using wireless transmission technology to transmit the collected parameter information to the remote monitoring center;
[0053] Step 3: The remote monitoring center processes and analyzes the acquired parameter information to generate a real-time alarm value and a warning risk value, and determines whether to generate an abnormal alarm instruction based on the size of the real-time alarm value and the warning risk value;
[0054] Step 4: When an abnormal alarm command is generated, a corresponding alarm is issued and the security power supply is switched to the backup power supply.
[0055] Through the above technical scheme, the present application obtains multiple parameter information of the security power supply, including the environmental parameter information and working parameter information of the security power supply, and conducts a comprehensive analysis based on these parameters to determine whether the security power supply is abnormal, thereby reducing the detection error and making the monitoring of the security power supply more accurate; at the same time, the present application can not only provide real-time alarm for the security power supply but also conduct risk warning judgment, and judge the potential risks of the security power supply through the conditions of the security power supply during charging and discharging, so as to discover potential abnormal problems early and deal with them in time to reduce the occurrence of abnormalities, thereby ensuring the normal and stable operation of security.
[0056] The method for generating an abnormal alarm instruction in step 3 is: real-time acquisition of the current value I generated by the security power supply X , voltage value U X And the temperature value T X , so through formula D X =α 1 *|I X -IX0 |+α 2 *|U X -U X0 |+α 3 *|T X -T X0 |Get the real-time alarm value D X ;
[0057] The real-time alarm value D X The preset real-time alarm threshold D Xth To compare:
[0058] When D X >D Xth When , an abnormal alarm instruction is generated;
[0059] Among them, I X0 It is the preset standard current value when the security power supply is working, U X0 It is the preset standard voltage value when the security power supply is working. X0 It is the preset standard temperature value when the security power supply is working. 1 , α 2 and α 3 are the preset weight coefficients for each.
[0060] The above technical solution provides one of the methods for generating abnormal alarm instructions. Since the abnormal performance of security power supply is mostly abnormal temperature, abnormal current or abnormal voltage, the current value I generated by the security power supply is first obtained in real time. X , voltage value U X And the temperature value T X , and compare it with the preset standard value, so as to obtain the X =α 1 *|I X -I X0 |+α 2 *|U X -U X0 |+α 3 *|T X -T X0 |Get the real-time alarm value D X , because faults usually affect each other when they occur, such as when a short circuit occurs, the power supply temperature will also rise. Therefore, it is not accurate to judge whether the security power supply is abnormal based on a single item. Therefore, the real-time alarm value can be obtained by comprehensive analysis through the above formula, which can detect the security power supply more accurately. It can be seen from the formula that the greater the difference between the obtained value and the standard value, the greater the possibility that the security power supply is abnormal. Therefore, after obtaining the real-time alarm value, the obtained real-time alarm value D X The preset real-time alarm threshold D XthCompare: When D X >D Xth When the power supply is abnormal, it means that the power supply is abnormal, and an abnormal alarm instruction is generated. In this way, the parameters of multiple detection items of the power supply can be integrated to understand the status of the power supply more accurately in real time, reduce the occurrence of misjudgment, and make the alarm more accurate.
[0061] It should be noted that the preset standard current value I XO , the preset standard voltage value U when the security power supply is working X0 , the preset standard temperature value T when the security power supply is working X0 The preset weight coefficient α can be determined based on the historical operation data of the security power supply. 1 , α 2 and α 3 And real-time alarm threshold D Xth It can be determined based on empirical data, which will not be described in detail here.
[0062] The method for generating an abnormal alarm instruction in step 3 further includes: X ≤D Xth In this state, the voltage value, current value and temperature value of the security power supply under charging condition are obtained, and a curve U of the voltage value of the security power supply under charging condition is drawn up. c (t), current variation curve with time I C (t) and the temperature versus time curve T C (t);
[0063] So through the formula The charging status value S is obtained C ;
[0064] Among them, t 1 is the charging start time, t 2 is the charging end time, a 1 、a 2 and a 3 are their respective weight coefficients, U C 0(t),I C 0(t), and T c 0(t) are respectively the standard voltage value changing with time curve, the standard current value changing with time curve and the standard temperature changing with time curve preset by the security power supply under charging condition;
[0065] At the same time, when the security power supply is discharged, the voltage value, current value and temperature value of the security power supply are obtained at intervals over time. D (t), I D (t), TD (t), thereby obtaining the voltage difference value ΔU, current difference value ΔI and temperature difference value ΔT in each time interval, and through the formula B = β 1 *ΔU+β 2 *ΔI+β 3 *ΔT obtains the comprehensive difference value B of each time period. According to the comprehensive difference value at n time intervals, a curve B(x) of the comprehensive difference value B changing with time interval x is drawn up, where t a is the start time of the set time interval, t b The end time of the set time interval, U D 0(t),I D 0(t),T D 0(t) are standard curves of the voltage value, current value and temperature value preset during the time interval under the discharge condition of the security power supply over time;
[0066] So through the formula The discharge status value S is obtained D ;
[0067] Then through the formula Obtain the early warning risk value DR of the security power supply;
[0068] The obtained early warning risk value DR is compared with the preset early warning risk threshold DR th To compare:
[0069] When DR>DRt h When , an abnormal alarm instruction is generated;
[0070] Among them, β 1 , β 2 , β 3 are their respective weight coefficients, B i is the comprehensive value of the difference at the i-th time interval, And i∈[1,n],x 1 is the first time interval, x 2 is the last time interval, max B is the maximum difference comprehensive value, min B is the minimum difference comprehensive value, B th is the preset comparison difference, is the environmental impact coefficient, τ 1 and τ 2 The respective proportionality coefficients.
[0071] The above technical solution provides another method for generating abnormal alarm instructions. First, when no real-time alarm instruction occurs, that is, in DX ≤D Xth In this state, the voltage value, current value and temperature value of the security power supply under charging condition are obtained, and a curve U of the voltage value of the security power supply under charging condition is drawn up. C (t), current variation curve with time I C (t) and the temperature versus time curve T C (t), so through the formula The charging status value S is obtained C ; Compare the voltage change, current change and temperature change during the charging period with the preset standard voltage change, current change and temperature change. It can be seen that the larger the difference, the greater the possibility of potential abnormality of the security power supply. At the same time, when the security power supply is discharged, the voltage value, current value and temperature value of the security power supply are obtained at intervals at a certain time interval. The time change curve U D (t), I D (t), T D (t), thereby obtaining the voltage difference value ΔU, current difference value ΔI and temperature difference value ΔT in each time interval, and through the formula B = β 1 *ΔU+β 2 *ΔI+β 3 *ΔT obtains the comprehensive difference value B of each time period. According to the comprehensive difference value at n time intervals, a curve B(x) of the comprehensive difference value B changing with time interval x is drawn up, where Since the discharge process is long, the discharge process is divided into n time intervals, and the voltage difference value ΔU, current difference value ΔI and temperature difference value ΔT in each time interval are obtained. It can be seen that although it does not make a real-time alarm, the larger the standard deviation value is from the preset standard deviation value, the greater the potential risk is. Since a single detection time interval has accidental factors, the formula B = β 1 *ΔU+β 2 *ΔI+β 3 *ΔT obtains the comprehensive difference value B of each time period, and according to the comprehensive difference value at n time intervals, draws up the curve B(x) of the comprehensive difference value B changing with time interval x, so that through the formula The discharge status value S is obtained D ;formula It indicates the fluctuation between the comprehensive difference values obtained within n time intervals. Obviously, the larger the value, the more unstable the system is, and the greater the possibility of abnormality. The formula It represents an average difference comprehensive value in n time intervals. Since the smaller the difference comprehensive value, the better the security power supply condition, the larger the average difference comprehensive value, the greater the possibility of abnormality. The formula It indicates the difference between the maximum difference comprehensive value and the minimum difference comprehensive value in the entire practice interval. The larger the value, the greater the possibility of abnormality in the security power supply. Therefore, when the discharge condition value S D The larger the value, the greater the possibility that the security power supply is abnormal. Finally, according to the status of the security power supply during charging and discharging and combined with environmental factors, a comprehensive analysis is conducted. The formula Obtain the early warning risk value DR of the security power supply; then compare the obtained early warning risk value DR with the preset early warning risk threshold DR th Compare, when DR>DR th When the power supply is faulty, it indicates that there is a potential abnormal risk in the security power supply. Then, an abnormal alarm instruction is generated to timely repair and inspect the security power supply to avoid the occurrence of abnormal security power supply failure.
[0072] It should be noted that the weight coefficient a 1 、a 2 、a 3 and β 1 , β 2 , β 3 , proportionality coefficient τ 1 and τ 2 can be formulated based on empirical data.
[0073] The preset standard voltage value over time curve, standard current value over time curve and standard temperature over time curve of the security power supply under charging condition U C 0(t),I C 0(t),T C 0(t) and the standard curve U of the preset voltage, current and temperature value of the security power supply during the time interval under the discharge condition. D 0(t),I D 0(t),T D 0(t) can be determined based on the historical operation data of the security power supply, and the early warning risk threshold DR th And the preset comparison difference B th This can be determined based on empirical data combined with historical data of relevant power models in big data, which will not be elaborated here.
[0074] Environmental impact factor The acquisition method is: install dust sensors at several key locations of the security power supply to obtain the dust concentration F at each location j , so that through the formula Dust factor
[0075] By formula Environmental Impact Factor
[0076] Among them, E H E is the humidity value of the location where the security power supply is located. T is the temperature value of the location of the security power supply, z is the vibration frequency of the security power supply when it is working, E TO and E HO are the optimal temperature and humidity values of the preset security power supply working environment, m is the total number of installed dust sensors, and j∈[1,m], max F is the maximum dust concentration, and p is the number of dust sensors whose detected dust concentration is higher than the average dust concentration.
[0077] The above technical solution provides a specific method for obtaining the environmental impact coefficient. The cause of the abnormality of the security power supply is not only related to the abnormal voltage, current and other abnormalities during operation, but also related to the environmental factors of the location. For example, high temperature will cause the temperature of the electronic components inside the security power supply to rise, accelerating the aging of the components, while too low temperature may cause condensation inside the power supply, causing short circuit or corrosion. In a high humidity environment, the metal parts inside the security power supply are prone to rust and corrosion, and static electricity is easily generated in an ultra-dry environment. Excessive dust accumulation will affect the heat dissipation of the security power supply and easily cause short circuits. If the vibration frequency of the security power supply itself is too high, it may cause the welding points and connectors inside the power supply to loosen or break, etc. Therefore, dust sensors are installed at several key positions of the security power supply to obtain the dust concentration F at each position. j , so that through the formula The dust factor φ is obtained F , and obtain the humidity value, temperature value and vibration frequency of the location of the security power supply, so as to use the formula φ env =φ F p +|E T -E T0 | 2 +|E H -E H0 | 3 +e z The environmental impact factor φ is obtained env ; From the formula, it can be seen that the larger the value, the greater the impact of the environment on the security power supply, and the greater the possibility of potential abnormalities in the security power supply. Therefore, when analyzing the early warning risk value of the security power supply, taking environmental factors into consideration can more accurately judge the status of the security power supply.
[0078] It should be noted that the optimal temperature and humidity values of the security power supply working environment are E T0 and E H0 It is determined based on the factory parameters of the security power supply itself, and no further explanation is given here.
[0079] An intelligent monitoring system for security power supply, the system is implemented by the above-mentioned intelligent monitoring method for security power supply, such as Figure 2 As shown, the monitoring system includes:
[0080] Data acquisition module, which is used to monitor and obtain parameter information related to security power supply;
[0081] A transmission module, which is used to transmit the acquired parameter information to a remote monitoring center;
[0082] Remote monitoring center: The remote monitoring center is used to analyze and process the acquired parameter information to determine whether to generate an abnormal alarm instruction to detect abnormalities in the security power supply;
[0083] Execution module, when an abnormal alarm instruction is generated, the execution module will issue a corresponding alarm and switch the security power supply to the backup power supply.
[0084] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the above-mentioned intelligent monitoring method for security power supply.
[0085] The above contents are merely examples and explanations of the concept of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the claims, they should all fall within the protection scope of the present invention.
Claims
1. An intelligent monitoring method for security power supply, characterized in that: The monitoring method comprises: Step 1: Integrate various sensors into the security power supply system to monitor and obtain parameter information related to the security power supply in real time; Step 2: Using wireless transmission technology to transmit the collected parameter information to the remote monitoring center; Step 3: The remote monitoring center processes and analyzes the acquired parameter information to generate a real-time alarm value and a warning risk value, and determines whether to generate an abnormal alarm instruction based on the size of the real-time alarm value and the warning risk value; Step 4: When an abnormal alarm command is generated, a corresponding alarm is issued and the security power supply is switched to the backup power supply.
2. The intelligent monitoring method for security power supply according to claim 1, characterized in that: The parameter information includes environmental parameter information and working parameter information. The environmental parameter information includes the temperature value and humidity value of the location where the security power supply is located, the dust concentration value on the security power supply and the vibration frequency of the security power supply. The working parameter information includes the current value and voltage value generated by the security power supply and the temperature value of the power supply.
3. The intelligent monitoring method of a security power supply according to claim 2, characterized in that: The method for generating an abnormal alarm instruction in step 3 is: Obtain the current value I generated by the security power supply in real time X , voltage value U X And the temperature value T X , so through formula D X =α1*|I X -I X0 |+α2*|U X -U X0 |+α3*|T X -T X0 |Get the real-time alarm value D X ; The real-time alarm value D X The preset real-time alarm threshold D Xth To compare: When D X >D Xth When , an abnormal alarm instruction is generated; Among them, I X0 It is the preset standard current value when the security power supply is working, U X0 It is the preset standard voltage value when the security power supply is working. X0 It is the preset standard temperature value when the security power supply is working, and α1, α2 and α3 are the preset weight coefficients respectively.
4. The intelligent monitoring method for security power supply according to claim 3, characterized in that: The method for generating an abnormal alarm instruction in step 3 further includes: In D X ≤D Xth In this state, the voltage value, current value and temperature value of the security power supply under charging condition are obtained, and a curve U of the voltage value of the security power supply under charging condition is drawn up. C (t), current variation curve with time I C (t) and the temperature versus time curve T C (t); So through the formula The charging status value S is obtained C ; Among them, t1 is the charging start time, t2 is the charging end time, a1, a2 and a3 are their respective weight coefficients, U C0 (t), I C0 (t) and T C0 (t) are respectively the standard voltage value variation curve over time, the standard current value variation curve over time and the standard temperature variation curve over time of the security power supply under charging condition; At the same time, when the security power supply is discharged, the voltage value, current value and temperature value of the security power supply are obtained at intervals over time. D (t), I D (t), T D (t), thereby obtaining the voltage difference value ΔU, current difference value ΔI and temperature difference value ΔT in each time interval, and obtaining the comprehensive difference value B of each time period through the formula B=β1*ΔU+β2*ΔI+β3*ΔT. According to the comprehensive difference value at n time intervals, a curve B(x) of the comprehensive difference value B changing with the time interval x is drawn up; So through the formula The discharge status value S is obtained D ; Then through the formula Obtain the early warning risk value DR of the security power supply; The obtained early warning risk value DR is compared with the preset early warning risk threshold DR th To compare: When DR>DR th When , an abnormal alarm instruction is generated; Among them, β1, β2, β3 are their respective weight coefficients, B i is the comprehensive value of the difference at the i-th time interval, And i∈[1,n], x1 is the first time interval, x2 is the last time interval, max B is the maximum difference comprehensive value, min B is the minimum difference comprehensive value, B th is the preset comparison difference, is the environmental impact coefficient, τ1 and τ2 are their respective proportionality coefficients.
5. The intelligent monitoring method for security power supply according to claim 4, characterized in that: The method for obtaining the voltage difference value ΔU, the current difference value ΔI and the temperature difference value ΔT is as follows: By formula The voltage difference value ΔU is obtained; By formula The current difference value ΔI is obtained; By formula Obtain the temperature difference value ΔT; Among them, t a is the start time of the set time interval, t b The end time of the set time interval, U D0 (t), I D0 (t), T D0 (t) Standard curves of the voltage value, current value and temperature value preset during the time interval under the discharge condition of the security power supply.
6. The intelligent monitoring method of a security power supply according to claim 4, characterized in that: Environmental impact factor The acquisition method is: Install dust sensors at several key locations of the security power supply to obtain the dust concentration F at each location j , so that through the formula Dust factor By formula Environmental Impact Factor Among them, E H E is the humidity value of the location where the security power supply is located. T is the temperature value of the location of the security power supply, z is the vibration frequency of the security power supply when it is working, E T0 and E H0 are the optimal temperature and humidity values of the preset security power supply working environment, m is the total number of installed dust sensors, and j∈[1,m], max F is the maximum dust concentration, and p is the number of dust sensors whose detected dust concentration is higher than the average dust concentration.
7. An intelligent monitoring system for a security power supply, the system being implemented by the intelligent monitoring method for a security power supply according to any one of claims 1 to 6, characterized in that: The system comprises: A data acquisition module, which is used to monitor and obtain parameter information related to the security power supply; A transmission module, wherein the transmission module is used to transmit the acquired parameter information to a remote monitoring center; A remote monitoring center, which is used to analyze and process the acquired parameter information, thereby determining whether to generate an abnormal alarm instruction to perform abnormal detection on the security power supply; Execution module, when an abnormal alarm instruction is generated, the execution module will issue a corresponding alarm and switch the security power supply to the backup power supply.
8. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.