A working environment monitoring system and method for intelligent electrical cabinet

Abstract

The present invention relates to the technical field of electrical cabinets, and specifically to a working environment monitoring system and method for intelligent electrical cabinets, comprising: a single-chip microcomputer, a monitoring layer, an analysis layer and a determination layer; the single-chip microcomputer is the main control end of the system, and is used to control the operation and stop of each operation layer of the system; the working environment parameters of the electrical cabinet are collected by the monitoring layer, and the monitoring layer synchronously identifies the stability of the working environment of the electrical cabinet based on the collected working environment parameters of the electrical cabinet, and the analysis layer operates to receive the working environment parameters of the electrical cabinet collected in the monitoring layer. The present invention analyzes the stability of the working environment of the electrical cabinet by analyzing the working environment parameters of the electrical cabinet and the environmental parameters of the electrical cabinet deployment area, and collects the working environment parameters of the electrical cabinet through further configured electrical cabinet working environment parameter collection logic, and makes a final risk assessment of the operation risk of the electrical cabinet in combination with the analysis result of the working environment stability of the electrical cabinet.

Description

Technical Field

[0001] The present invention relates to the technical field of electrical cabinets, and in particular to a working environment monitoring system and method for intelligent electrical cabinets. Background Art

[0002] An electrical cabinet is a cabinet used to install and accommodate various electrical components and equipment.

[0003] Electrical cabinets are generally made of solid metal materials and have certain protective properties, such as dustproof, moisture-proof, and impact-proof. The internal space is reasonably planned and has mounting brackets, partitions, etc. to facilitate the fixation and wiring of electrical components. Electrical cabinets can provide a centralized and safe installation environment for electrical equipment, which is easy to manage and maintain. At the same time, it can also play a certain electromagnetic shielding role for internal equipment, reducing the impact of external interference on equipment operation.

[0004] At present, the monitoring of electrical cabinets during daily operation is often carried out through manual inspections, combined with simple temperature and humidity monitoring equipment. This monitoring method has a low degree of intelligence, and the monitoring results of the working environment safety of the electrical cabinet are often determined independently by the inspection staff, which has large errors and uncertainties. Summary of the invention

[0005] In view of the above-mentioned shortcomings of the prior art, the present invention provides a working environment monitoring system and method for an intelligent electrical cabinet, which solves the technical problems raised in the above-mentioned background technology.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0007] In a first aspect, a working environment monitoring system for an intelligent electrical cabinet includes: a single chip computer, a monitoring layer, an analysis layer, and a determination layer;

[0008] The single-chip microcomputer is the main control end of the system, which is used to control the operation and stop of each operating layer of the system;

[0009] The working environment parameters of the electrical cabinet are collected through the monitoring layer. The monitoring layer synchronously identifies the stability of the working environment of the electrical cabinet based on the collected working environment parameters of the electrical cabinet. The analysis layer operates to receive the working environment parameters of the electrical cabinet collected in the monitoring layer, and analyzes the operating risk of the electrical cabinet based on the working environment parameters of the electrical cabinet. The determination layer further receives the operating risk analysis results of the electrical cabinet in the analysis layer, and determines whether there is an operating risk in the current electrical cabinet based on the analysis results. If the determination result is yes, the electrical cabinet with operating risk is sniffed;

[0010] The analysis layer includes a receiving module, an analyzing module and a storage module. The receiving module is used to receive the working environment parameters of the electrical cabinet collected in the monitoring layer. The analyzing module is used to traverse the working environment parameters of the electrical cabinet received in the receiving module, and analyze the operating risk of the electrical cabinet based on the working environment parameters of the electrical cabinet. The storage module is used to receive the operating risk of the electrical cabinet analyzed in the analyzing module, and store the analysis results of the operating risk of the electrical cabinet.

[0011] The risk analysis logic of the electrical cabinet operation in the analysis module is expressed as follows:

[0012]

[0013] Where: f is the risk performance value of the electrical cabinet operation; C1, C2, C3 are the temperatures of the electrical cabinet working environment parameters collected by the monitoring layer for the first, second, and third time; RH1, RH2, RH3 are the humidity of the electrical cabinet working environment parameters collected by the monitoring layer for the first, second, and third time; ρ1, ρ2, ρ3 are the PM2.5 content in the air of the electrical cabinet working environment parameters collected by the monitoring layer for the first, second, and third time; E MIN E is the minimum electromagnetic interference intensity of the working environment parameters of the electrical cabinet collected by the monitoring layer for the first, second and third time; MAX is the maximum electromagnetic interference intensity of the working environment parameters of the electrical cabinet collected by the monitoring layer for the first, second and third time; f is the operational risk performance value of the electrical cabinet group; f j is the performance value of the operation risk of the electrical cabinet in the jth group; m is the set of electrical cabinets in the electrical cabinet group; G is the performance value of the working environment stability of the electrical cabinet;

[0014] Among them, the smaller the operation risk performance value f of the electrical cabinet, the smaller the operation risk of the electrical cabinet, and vice versa, the greater the operation risk of the electrical cabinet. The smaller the operation risk performance value f of the electrical cabinet group, the smaller the operation risk of the electrical cabinet group, and vice versa, the greater the operation risk of the electrical cabinet group.

[0015] Furthermore, the monitoring layer includes a collection module, a logic module and an identification module. The collection module is used to collect the working environment parameters of the electrical cabinet. The logic module is used to set the operation logic of the collection module. The identification module is used to receive the working environment parameters of the electrical cabinet collected by the collection module, and identify the stability of the working environment of the electrical cabinet based on the working environment parameters of the electrical cabinet.

[0016] The acquisition module is integrated with a temperature and humidity sensor, an air quality sensor, and an electromagnetic interference sensor. The electrical cabinets are centrally deployed indoors. A set of acquisition modules is installed at all the intersections of the inner corners of the room where the electrical cabinets are located and on the surface of each set of electrical cabinets. The operation logic of the acquisition module set in the logic module includes:

[0017] Logic1: Controls the operation of the collection modules installed at the intersection of all the inner corners of the room where the electrical cabinet is located, and collects the working environment parameters of the electrical cabinet;

[0018] Logic2: Controls the operation of the collection modules installed on the surface of each group of electrical cabinets in the room where the electrical cabinets are located, and collects the working environment parameters of the electrical cabinets.

[0019] Furthermore, after the logic module collects the working environment parameters of the electrical cabinet based on Logic1, it transmits the working environment parameters of the electrical cabinet to the identification module. The identification module identifies that the working environment of the electrical cabinet is stable based on the received working environment parameters of the electrical cabinet. After the identification is completed, the logic module further runs based on Logic2. After the collection of the working environment parameters of the electrical cabinet is completed again, the analysis layer is triggered to run. The collection modules installed at the intersection of all the inner corners of the room where the electrical cabinet is located are integrated by a group of temperature and humidity sensors;

[0020] The identification module runs and synchronously obtains temperature and humidity data of the area corresponding to the deployment location of the electrical cabinet, and identifies that the working environment of the electrical cabinet is stable based on the temperature and humidity data of the area corresponding to the deployment location of the electrical cabinet and the collected working environment parameters of the electrical cabinet.

[0021] Furthermore, before the identification module is run, Logic1 in the logic module is run twice, and the two runs of Logic1 correspond to the same timestamp in two consecutive days. The identification logic of the stability of the working environment of the electrical cabinet in the identification module is expressed as:

[0022]

[0023] Where: G is the stability performance value of the working environment of the electrical cabinet; C is the temperature of the area corresponding to the deployment location of the electrical cabinet; RH is the humidity of the area corresponding to the deployment location of the electrical cabinet; n is the set of acquisition modules applied in the Logic1 operation phase; Ci is the temperature collected by the i-th group of acquisition modules; RH i is the humidity collected by the i-th group of collection modules; C i+1 is the temperature collected by the i+1th group of collection modules; RH i+1 is the humidity collected by the i-th group of collection modules; λ is the compensation;

[0024] in, Table pair The average, Table pair The average is calculated, the compensation is 0<λ≤1, and in the acquisition modules applied in the Logic1 running stage, the greater the distance between the two farthest acquisition modules, the greater the compensation λ value, otherwise, the smaller the compensation λ value, the closer the performance value G of the working environment stability of the electrical cabinet is to 1, which means that the working environment stability of the electrical cabinet is better, otherwise, it means that the working environment stability of the electrical cabinet is worse.

[0025] Furthermore, the electromagnetic interference intensity in the working environment parameters of the electrical cabinet is obtained by the following formula:

[0026]

[0027] Where: I is the interference source current; μ0 is the vacuum magnetic permeability; r is the distance from the acquisition module to the interference source; h is the height of the interference source; θ is the angle between the acquisition module parameter acquisition end direction and the current direction; q is the frequency; σ is the dielectric conductivity;

[0028] Wherein, ω=2πq. When calculating the electromagnetic interference intensity, the interference source in the area corresponding to the deployment location of the electrical cabinet is known.

[0029] Furthermore, the electrical cabinet working environment parameters used in the electrical cabinet operation risk analysis logic in the analysis module are no less than three groups, and the electrical cabinet working environment parameters used in the electrical cabinet operation risk analysis logic in the analysis module are all derived from the operation of Logic2 in the logic module;

[0030] When the storage module stores the results of the risk analysis of the operation of the electrical cabinet, the operation risk performance value f of the electrical cabinet and the operation risk performance value f of the electrical cabinet group are differentiated and stored, and the operation risk performance value f of each electrical cabinet is further differentiated and stored according to the electrical cabinet from which it comes.

[0031] Furthermore, the determination layer includes a setting module, a determination module and a sniffing module. The setting module is used to set the threshold value for determining the operation risk of the electrical cabinet. The determination module is used to receive the operation risk performance value f of the electrical cabinet and the operation risk performance value f of the electrical cabinet group analyzed in the analysis layer, and compare the operation risk performance value f of the electrical cabinet group with the threshold value for determining the operation risk of the electrical cabinet set in the setting module and the two groups of performance values ​​to determine whether the electrical cabinet and the electrical cabinet group have operation risks. The sniffing module is used to receive the determination results of the electrical cabinet and the electrical cabinet group in the determination module, and sniff the electrical cabinet with operation risks based on the determination results.

[0032] Among them, two groups of electrical cabinet operation risk determination thresholds are set in the setting module, and the two groups of electrical cabinet operation risk determination thresholds are respectively applied to the electrical cabinet operation risk performance value f and the electrical cabinet group operation risk performance value ftotal.

[0033] Furthermore, when determining whether the electrical cabinet and the electrical cabinet group have operation risks, the determination module prioritizes the operation risk performance value f of the electrical cabinet group based on the determination threshold;

[0034] The electrical cabinet with operation risk sniffed by the sniffing module is: the electrical cabinet corresponding to the electrical cabinet operation risk performance value f whose operation risk performance value f is not within the judgment threshold.

[0035] Furthermore, the single chip microcomputer is interactively connected to a collection module, a receiving module and a setting module through a wireless network, the collection module is interactively connected to a logic module and an identification module through a wireless network, the receiving module is interactively connected to an analysis module and a storage module through a wireless network, and the setting module is interactively connected to a determination module and a sniffing module through a wireless network.

[0036] In a second aspect, a working environment monitoring method for a smart electrical cabinet comprises the following steps:

[0037] Step 1: Deploy the electrical cabinet working environment parameter collection equipment in the electrical cabinet installation area to obtain the environmental parameters of the electrical cabinet installation area;

[0038] Step 11: Setting stage of deployment logic of equipment for collecting working environment parameters of electrical cabinet;

[0039] Step 2: Identify the stability of the working environment of the electrical cabinet based on the environmental parameters of the electrical cabinet installation area;

[0040] Step 21: Setting stage of the electrical cabinet working environment stability identification logic;

[0041] Step 3: Obtain the identification result of the working environment stability of the electrical cabinet, and analyze the operating risk of the electrical cabinet in combination with the collected working environment parameters of the electrical cabinet;

[0042] Step 31: Setting stage of risk analysis logic of electrical cabinet operation;

[0043] Step 4: Set the electrical cabinet operation risk determination threshold, and determine whether the electrical cabinet has an operation risk based on the comparison between the electrical cabinet operation risk analysis result and the electrical cabinet operation risk determination threshold;

[0044] Step 5: Obtain the results of the electrical cabinet operation risk determination, and sniff out the electrical cabinets with operation risks based on the determination results.

[0045] Compared with the known public technology, the technical solution provided by the present invention has the following advantages:

[0046] Beneficial effects:

[0047] The present invention provides a working environment monitoring system for an intelligent electrical cabinet. During operation, the system analyzes the stability of the working environment of the electrical cabinet by analyzing the working environment parameters of the electrical cabinet and the environmental parameters of the electrical cabinet deployment area, and collects the working environment parameters of the electrical cabinet through a further configured electrical cabinet working environment parameter collection logic. Combined with the analysis result of the working environment stability of the electrical cabinet, a final risk assessment is made on the operation risk of the electrical cabinet, so that the electrical cabinet can be intelligently monitored in real time during operation, and the daily operation stability of the electrical cabinet is guaranteed. When there is an operation risk in the electrical cabinet, the operation risk target of the electrical cabinet is accurately found, so as to ensure that the risk problem of the electrical cabinet with the operation risk can be solved more efficiently.

[0048] At the same time, based on the configuration of the working environment monitoring method for the intelligent electrical cabinet, further operation logic is provided for the above system to ensure that the system runs more stably, the system operation logic forms a closed loop, and the electrical cabinet is monitored and guarded stably and continuously. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0050] Figure 1 It is a structural schematic diagram of a working environment monitoring system for an intelligent electrical cabinet;

[0051] Figure 2 A schematic diagram of a process for monitoring the working environment of an intelligent electrical cabinet;

[0052] Figure 3 This is a schematic diagram of the installation position of the acquisition module relative to the electrical cabinet in the present invention;

[0053] The numbers in the figure represent: 1. Electrical cabinet deployment area; 2. Electrical cabinet; 3. Logic1 in the logic module corresponds to the installation position of the acquisition module. DETAILED DESCRIPTION

[0054] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are 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.

[0055] The present invention will be further described below in conjunction with the embodiments.

[0056] Embodiment 1:

[0057] A working environment monitoring system for an intelligent electrical cabinet in this embodiment is as follows: Figure 1 As shown, it includes: a single chip microcomputer, a monitoring layer, an analysis layer and a determination layer;

[0058] The single-chip microcomputer is the main control end of the system, which is used to control the operation and stop of each operating layer of the system;

[0059] The working environment parameters of the electrical cabinet are collected through the monitoring layer. The monitoring layer synchronously identifies the stability of the working environment of the electrical cabinet based on the collected working environment parameters of the electrical cabinet. The analysis layer operates to receive the working environment parameters of the electrical cabinet collected in the monitoring layer, and analyzes the operating risk of the electrical cabinet based on the working environment parameters of the electrical cabinet. The determination layer further receives the operating risk analysis results of the electrical cabinet in the analysis layer, and determines whether there is an operating risk in the current electrical cabinet based on the analysis results. If the determination result is yes, the electrical cabinet with operating risk is sniffed;

[0060] The monitoring layer includes a collection module, a logic module and an identification module. The collection module is used to collect the working environment parameters of the electrical cabinet. The logic module is used to set the operation logic of the collection module. The identification module is used to receive the working environment parameters of the electrical cabinet collected by the collection module and identify the stability of the working environment of the electrical cabinet based on the working environment parameters of the electrical cabinet.

[0061] The acquisition module is integrated with temperature and humidity sensors, air quality sensors, and electromagnetic interference sensors. The electrical cabinets are centrally deployed indoors. A set of acquisition modules is installed at all the intersections of the inner corners of the room where the electrical cabinets are located and on the surface of each set of electrical cabinets. The operation logic of the acquisition module set in the logic module includes:

[0062] Logic1: Controls the operation of the collection modules installed at the intersection of all the inner corners of the room where the electrical cabinet is located, and collects the working environment parameters of the electrical cabinet;

[0063] Logic2: Controls the operation of the collection modules installed on the surface of each group of electrical cabinets in the room where the electrical cabinets are located, and collects the working environment parameters of the electrical cabinets;

[0064] The analysis layer includes a receiving module, an analyzing module and a storage module. The receiving module is used to receive the working environment parameters of the electrical cabinet collected in the monitoring layer. The analyzing module is used to traverse the working environment parameters of the electrical cabinet received in the receiving module, and analyze the operating risk of the electrical cabinet based on the working environment parameters of the electrical cabinet. The storage module is used to receive the operating risk of the electrical cabinet analyzed in the analyzing module, and store the analysis results of the operating risk of the electrical cabinet.

[0065] The risk analysis logic of the electrical cabinet operation in the analysis module is expressed as:

[0066]

[0067] Where: f is the risk performance value of the electrical cabinet operation; C1, C2, C3 are the temperatures of the electrical cabinet working environment parameters collected by the monitoring layer for the first, second, and third time; RH1, RH2, RH3 are the humidity of the electrical cabinet working environment parameters collected by the monitoring layer for the first, second, and third time; ρ1, ρ2, ρ3 are the PM2.5 content in the air of the electrical cabinet working environment parameters collected by the monitoring layer for the first, second, and third time; E MIN E is the minimum electromagnetic interference intensity of the working environment parameters of the electrical cabinet collected by the monitoring layer for the first, second and third time; MAX is the maximum electromagnetic interference intensity of the working environment parameters of the electrical cabinet collected by the monitoring layer for the first, second and third time; f is the operational risk performance value of the electrical cabinet group; f j is the performance value of the operation risk of the electrical cabinet in the jth group; m is the set of electrical cabinets in the electrical cabinet group; G is the performance value of the working environment stability of the electrical cabinet;

[0068] Among them, the smaller the operation risk performance value f of the electrical cabinet is, the smaller the operation risk of the electrical cabinet is; conversely, the greater the operation risk of the electrical cabinet is; the smaller the operation risk performance value f of the electrical cabinet group is, the smaller the operation risk of the electrical cabinet group is; conversely, the greater the operation risk of the electrical cabinet group is;

[0069] The electromagnetic interference intensity in the working environment parameters of the electrical cabinet is obtained by the following formula:

[0070]

[0071] Where: I is the interference source current; μ0 is the vacuum magnetic permeability; r is the distance from the acquisition module to the interference source; h is the height of the interference source; θ is the angle between the acquisition module parameter acquisition end direction and the current direction; q is the frequency; σ is the dielectric conductivity;

[0072] Among them, ω = 2πq, when the electromagnetic interference intensity is calculated, the interference source in the area corresponding to the deployment location of the electrical cabinet is known;

[0073] The determination layer includes a setting module, a determination module and a sniffing module. The setting module is used to set the threshold value for determining the operation risk of the electrical cabinet. The determination module is used to receive the operation risk performance value f of the electrical cabinet and the operation risk performance value f of the electrical cabinet group analyzed in the analysis layer, and compare the operation risk determination threshold value of the electrical cabinet set in the setting module with the two groups of performance values ​​to determine whether the electrical cabinet and the electrical cabinet group have operation risks. The sniffing module is used to receive the determination results of the electrical cabinet and the electrical cabinet group in the determination module, and sniff the electrical cabinet with operation risks based on the determination results.

[0074] Among them, two groups of electrical cabinet operation risk determination thresholds are set in the setting module, and the two groups of electrical cabinet operation risk determination thresholds are respectively applied to the electrical cabinet operation risk performance value f and the electrical cabinet group operation risk performance value f total;

[0075] The single chip microcomputer is interactively connected with an acquisition module, a receiving module and a setting module through a wireless network; the acquisition module is interactively connected with a logic module and an identification module through a wireless network; the receiving module is interactively connected with an analysis module and a storage module through a wireless network; and the setting module is interactively connected with a judgment module and a sniffing module through a wireless network.

[0076] In this embodiment, the single-chip microcomputer control system runs, the acquisition module runs to collect the working environment parameters of the electrical cabinet, the logic module synchronously sets the running logic of the acquisition module, the identification module further receives the working environment parameters of the electrical cabinet collected by the acquisition module, identifies the stability of the working environment of the electrical cabinet based on the working environment parameters of the electrical cabinet, and then receives the working environment parameters of the electrical cabinet collected in the monitoring layer by the receiving module, the analysis module further traverses the working environment parameters of the electrical cabinet received in the receiving module, analyzes the operating risk of the electrical cabinet based on the working environment parameters of the electrical cabinet, and receives the operating risk of the electrical cabinet analyzed in the analysis module through the storage module, stores the analysis results of the operating risk of the electrical cabinet, and finally sets the operating risk judgment threshold of the electrical cabinet through the setting module, the judgment module runs to receive the operating risk performance value f of the electrical cabinet analyzed in the analysis layer and the operating risk performance value f of the electrical cabinet group, combines the electrical cabinet operating risk judgment threshold set in the setting module with the two groups of performance values ​​for comparison, and judges whether the electrical cabinet and the electrical cabinet group have operating risks, the sniffing module receives the judgment results of the electrical cabinet and the electrical cabinet group in the judgment module in real time, and sniffs the electrical cabinet with operating risks based on the judgment results;

[0077] Through the operation of the system in the above embodiment, an intelligent working environment monitoring system is provided for the electrical cabinet, which effectively reduces the cost of monitoring the working environment of the electrical cabinet and improves the accuracy and effectiveness of the monitoring results of the working environment of the electrical cabinet.

[0078] See also Figure 3 As shown, based on the electrical cabinet deployment area 1, electrical cabinet 2, and acquisition module installation position 3 corresponding to Logic1 in the logic module marked in the figure, the relative position relationship between the electrical cabinet 2 in the electrical cabinet deployment area 1 and the acquisition module installation position 3 corresponding to Logic1 in the logic module is further demonstrated.

[0079] Embodiment 2:

[0080] In terms of specific implementation, based on Example 1, this example refers to Figure 1 The working environment monitoring system for the intelligent electrical cabinet in Example 1 is further described in detail:

[0081] After the logic module collects the working environment parameters of the electrical cabinet based on Logic1, it transmits the working environment parameters of the electrical cabinet to the identification module. The identification module identifies that the working environment of the electrical cabinet is stable based on the received working environment parameters of the electrical cabinet. After the identification is completed, the logic module further runs based on Logic2. After the working environment parameters of the electrical cabinet are collected again, the analysis layer is triggered to run. The collection modules installed at the intersection of all the inner corners of the room where the electrical cabinet is located are integrated by a group of temperature and humidity sensors;

[0082] Identify the module operation results, synchronously obtain the temperature and humidity data of the area corresponding to the deployment location of the electrical cabinet, and identify whether the working environment of the electrical cabinet is stable based on the temperature and humidity data of the area corresponding to the deployment location of the electrical cabinet and the collected working environment parameters of the electrical cabinet.

[0083] Through the above settings, the application logics of Logic1 and Logic2 set in the logic module are further limited, so that the application operation based on Logic1 and Logic2 provides necessary operation data support for the operation of the system in the above embodiment 1.

[0084] like Figure 1 As shown in the figure, before the identification module runs, Logic1 in the logic module runs twice, and the two runs of Logic1 correspond to the same timestamp on two consecutive days. The identification logic of the working environment stability of the electrical cabinet in the identification module is expressed as:

[0085]

[0086] Where: G is the stability performance value of the working environment of the electrical cabinet; C is the temperature of the area corresponding to the deployment location of the electrical cabinet; RH is the humidity of the area corresponding to the deployment location of the electrical cabinet; n is the set of acquisition modules applied in the Logic1 operation phase; Ci is the temperature collected by the i-th group of acquisition modules; RH i is the humidity collected by the i-th group of collection modules; C i+1 is the temperature collected by the i+1th group of collection modules; RH i+1 is the humidity collected by the i-th group of collection modules; λ is the compensation;

[0087] in, Table pair The average, Table pair The average is calculated, the compensation is 0<λ≤1, and in the acquisition modules applied in the Logic1 running stage, the greater the distance between the two farthest acquisition modules, the greater the compensation λ value, otherwise, the smaller the compensation λ value, the closer the performance value G of the working environment stability of the electrical cabinet is to 1, which means that the working environment stability of the electrical cabinet is better, otherwise, it means that the working environment stability of the electrical cabinet is worse.

[0088] Through the above settings, the stability of the working environment of the electrical cabinet is obtained by using a specified obtaining logic, and further provides operating parameter support for the electrical cabinet operation risk analysis logic of the system in Example 1, ensuring that the system outputs stable output of the electrical cabinet operation risk;

[0089] It should be noted that the temperature C and humidity RH of the area corresponding to the electrical cabinet deployment location refer to the temperature and humidity of the area where the electrical cabinet is deployed. They can be the natural environment temperature and humidity at the county, city, or provincial level in the area where the electrical cabinet is deployed as reported on the Internet.

[0090] like Figure 1 As shown, there are no less than three groups of electrical cabinet working environment parameters used in the electrical cabinet operation risk analysis logic in the analysis module, and the electrical cabinet working environment parameters used in the electrical cabinet operation risk analysis logic in the analysis module are all derived from the operation of Logic2 in the logic module;

[0091] In the stage of storing the operation risk analysis results of the electrical cabinet, the storage module stores the operation risk performance value f of the electrical cabinet and the operation risk performance value f of the electrical cabinet group separately, and further stores the operation risk performance value f of each electrical cabinet separately according to the electrical cabinet from which it comes;

[0092] When determining whether there is an operation risk in the electrical cabinet and the electrical cabinet group, the determination module prioritizes the operation risk performance value f of the electrical cabinet group based on the determination threshold;

[0093] The electrical cabinet with operation risk sniffed by the sniffing module is: the electrical cabinet corresponding to the electrical cabinet operation risk performance value f whose operation risk performance value f is not within the judgment threshold.

[0094] Through the above settings, the logic of the sniffing module sniffing the electrical cabinets with operation risks is further limited, so that after the system makes a judgment on the operation risks of the electrical cabinet group and each electrical cabinet, it can further sniff the electrical cabinets with operation risks, providing convenience for the electrical cabinet management users when maintaining the electrical cabinets with operation risks.

[0095] Embodiment 3:

[0096] In terms of specific implementation, based on Example 1, this example refers to Figure 2 The working environment monitoring system for the intelligent electrical cabinet in Example 1 is further described in detail:

[0097] A method for monitoring the working environment of an intelligent electrical cabinet comprises the following steps:

[0098] Step 1: Deploy the electrical cabinet working environment parameter collection equipment in the electrical cabinet installation area to obtain the environmental parameters of the electrical cabinet installation area;

[0099] Step 11: Setting stage of deployment logic of equipment for collecting working environment parameters of electrical cabinet;

[0100] Step 2: Identify the stability of the working environment of the electrical cabinet based on the environmental parameters of the electrical cabinet installation area;

[0101] Step 21: Setting stage of the electrical cabinet working environment stability identification logic;

[0102] Step 3: Obtain the identification result of the working environment stability of the electrical cabinet, and analyze the operating risk of the electrical cabinet in combination with the collected working environment parameters of the electrical cabinet;

[0103] Step 31: Setting stage of risk analysis logic of electrical cabinet operation;

[0104] Step 4: Set the electrical cabinet operation risk determination threshold, and determine whether the electrical cabinet has an operation risk based on the comparison between the electrical cabinet operation risk analysis result and the electrical cabinet operation risk determination threshold;

[0105] Step 5: Obtain the results of the electrical cabinet operation risk determination, and sniff out the electrical cabinets with operation risks based on the determination results.

[0106] In summary, during operation, the system in the above embodiment analyzes the stability of the working environment of the electrical cabinet by analyzing the working environment parameters of the electrical cabinet and the environmental parameters of the area where the electrical cabinet is deployed, and collects the working environment parameters of the electrical cabinet through further configured electrical cabinet working environment parameter collection logic. Combined with the results of the electrical cabinet working environment stability analysis, a final risk assessment is made on the operation risk of the electrical cabinet, so that the electrical cabinet can obtain intelligent real-time working environment monitoring during operation, ensuring the daily operation stability of the electrical cabinet, and when there is an operation risk of the electrical cabinet, accurately find the operation risk target of the electrical cabinet, ensuring that the risk problems of the electrical cabinet with operation risks can be solved more efficiently.

[0107] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements will not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A working environment monitoring system for an intelligent electrical cabinet, characterized in that: include: Single chip microcomputer, monitoring layer, analysis layer and decision layer; The single-chip microcomputer is the main control end of the system, which is used to control the operation and stop of each operating layer of the system; The working environment parameters of the electrical cabinet are collected through the monitoring layer. The monitoring layer synchronously identifies the stability of the working environment of the electrical cabinet based on the collected working environment parameters of the electrical cabinet. The analysis layer operates to receive the working environment parameters of the electrical cabinet collected in the monitoring layer, and analyzes the operating risk of the electrical cabinet based on the working environment parameters of the electrical cabinet. The determination layer further receives the operating risk analysis results of the electrical cabinet in the analysis layer, and determines whether there is an operating risk in the current electrical cabinet based on the analysis results. If the determination result is yes, the electrical cabinet with operating risk is sniffed; The analysis layer includes a receiving module, an analyzing module and a storage module. The receiving module is used to receive the working environment parameters of the electrical cabinet collected in the monitoring layer. The analyzing module is used to traverse the working environment parameters of the electrical cabinet received in the receiving module, and analyze the operating risk of the electrical cabinet based on the working environment parameters of the electrical cabinet. The storage module is used to receive the operating risk of the electrical cabinet analyzed in the analyzing module, and store the analysis results of the operating risk of the electrical cabinet. The risk analysis logic of the electrical cabinet operation in the analysis module is expressed as follows: Where: f is the risk performance value of the electrical cabinet operation; C1, C2, C3 are the temperatures of the electrical cabinet working environment parameters collected by the monitoring layer for the first, second, and third time; RH1, RH2, RH3 are the humidity of the electrical cabinet working environment parameters collected by the monitoring layer for the first, second, and third time; ρ1, ρ2, ρ3 are the PM2.5 content in the air of the electrical cabinet working environment parameters collected by the monitoring layer for the first, second, and third time; E MIN E is the minimum electromagnetic interference intensity of the working environment parameters of the electrical cabinet collected by the monitoring layer for the first, second and third time; MAX is the maximum electromagnetic interference intensity of the working environment parameters of the electrical cabinet collected by the monitoring layer for the first, second and third time; f is the operational risk performance value of the electrical cabinet group; f j is the performance value of the operation risk of the electrical cabinet in the jth group; m is the set of electrical cabinets in the electrical cabinet group; G is the performance value of the working environment stability of the electrical cabinet; Among them, the smaller the operation risk performance value f of the electrical cabinet, the smaller the operation risk of the electrical cabinet, and vice versa, the greater the operation risk of the electrical cabinet. The smaller the operation risk performance value f of the electrical cabinet group, the smaller the operation risk of the electrical cabinet group, and vice versa, the greater the operation risk of the electrical cabinet group.

2. A working environment monitoring system for an intelligent electrical cabinet according to claim 1, characterized in that: The monitoring layer includes a collection module, a logic module and an identification module. The collection module is used to collect the working environment parameters of the electrical cabinet. The logic module is used to set the operation logic of the collection module. The identification module is used to receive the working environment parameters of the electrical cabinet collected by the collection module and identify the stability of the working environment of the electrical cabinet based on the working environment parameters of the electrical cabinet. The acquisition module is integrated with a temperature and humidity sensor, an air quality sensor, and an electromagnetic interference sensor. The electrical cabinets are centrally deployed indoors. A set of acquisition modules is installed at all the intersections of the inner corners of the room where the electrical cabinets are located and on the surface of each set of electrical cabinets. The operation logic of the acquisition module set in the logic module includes: Logic1: Controls the operation of the collection modules installed at the intersection of all the inner corners of the room where the electrical cabinet is located, and collects the working environment parameters of the electrical cabinet; Logic2: Controls the operation of the collection modules installed on the surface of each group of electrical cabinets in the room where the electrical cabinets are located, and collects the working environment parameters of the electrical cabinets.

3. A working environment monitoring system for an intelligent electrical cabinet according to claim 2, characterized in that: After the logic module collects the working environment parameters of the electrical cabinet based on Logic1, it transmits the working environment parameters of the electrical cabinet to the identification module. The identification module identifies that the working environment of the electrical cabinet is stable based on the received working environment parameters of the electrical cabinet. After the identification is completed, the logic module further runs based on Logic2. After the collection of the working environment parameters of the electrical cabinet is completed again, the analysis layer is triggered to run. The collection modules installed at the intersection of all the inner corners of the room where the electrical cabinet is located are integrated by a group of temperature and humidity sensors; The identification module runs and synchronously obtains temperature and humidity data of the area corresponding to the deployment location of the electrical cabinet, and identifies that the working environment of the electrical cabinet is stable based on the temperature and humidity data of the area corresponding to the deployment location of the electrical cabinet and the collected working environment parameters of the electrical cabinet.

4. A working environment monitoring system for an intelligent electrical cabinet according to claim 2, characterized in that: Before the identification module is run, Logic1 in the logic module is run twice, and the two runs of Logic1 correspond to the same timestamp on two consecutive days. The identification logic of the working environment stability of the electrical cabinet in the identification module is expressed as: In the formula: G is the stability performance value of the working environment of the electrical cabinet; C is the temperature of the area corresponding to the deployment location of the electrical cabinet; RH is the humidity of the area corresponding to the deployment location of the electrical cabinet; n is the set of acquisition modules applied in the Logic1 operation stage; Ci is the temperature collected by the i-th group of acquisition modules; RH i is the humidity collected by the i-th group of collection modules; C i+1 is the temperature collected by the i+1th group of collection modules; RH i+1 The humidity collected by the i-th group of collection modules; λ is compensation; in, Table pair The average, Table pair The average is calculated, the compensation is 0<λ≤1, and in the acquisition modules applied in the Logic1 running stage, the greater the distance between the two farthest acquisition modules, the greater the compensation λ value, otherwise, the smaller the compensation λ value, the closer the performance value G of the working environment stability of the electrical cabinet is to 1, which means that the working environment stability of the electrical cabinet is better, otherwise, it means that the working environment stability of the electrical cabinet is worse.

5. The working environment monitoring system for an intelligent electrical cabinet according to claim 1, characterized in that: The electromagnetic interference intensity in the working environment parameters of the electrical cabinet is obtained by the following formula: Where: I is the interference source current; μ0 is the vacuum magnetic permeability; r is the distance from the acquisition module to the interference source; h is the height of the interference source; θ is the angle between the acquisition module parameter acquisition end direction and the current direction; q is the frequency; σ is the dielectric conductivity; Wherein, ω=2πq. When calculating the electromagnetic interference intensity, the interference source in the area corresponding to the deployment location of the electrical cabinet is known.

6. A working environment monitoring system for an intelligent electrical cabinet according to claim 1, characterized in that: There are no less than three groups of electrical cabinet working environment parameters used in the electrical cabinet operation risk analysis logic in the analysis module, and the electrical cabinet working environment parameters used in the electrical cabinet operation risk analysis logic in the analysis module are all derived from the operation of Logic2 in the logic module; When the storage module stores the results of the risk analysis of the operation of the electrical cabinet, the operation risk performance value f of the electrical cabinet and the operation risk performance value f of the electrical cabinet group are differentiated and stored, and the operation risk performance value f of each electrical cabinet is further differentiated and stored according to the electrical cabinet from which it comes.

7. A working environment monitoring system for an intelligent electrical cabinet according to claim 1, characterized in that: The determination layer includes a setting module, a determination module and a sniffing module. The setting module is used to set the threshold value for determining the operation risk of the electrical cabinet. The determination module is used to receive the operation risk performance value f of the electrical cabinet and the operation risk performance value f of the electrical cabinet group analyzed in the analysis layer, and compare the operation risk determination threshold value of the electrical cabinet set in the setting module with the two groups of performance values ​​to determine whether the electrical cabinet and the electrical cabinet group have operation risks. The sniffing module is used to receive the determination results of the electrical cabinet and the electrical cabinet group in the determination module, and sniff the electrical cabinet with operation risks based on the determination results. Among them, two groups of electrical cabinet operation risk determination thresholds are set in the setting module, and the two groups of electrical cabinet operation risk determination thresholds are respectively applied to the electrical cabinet operation risk performance value f and the electrical cabinet group operation risk performance value ftotal.

8. A working environment monitoring system for an intelligent electrical cabinet according to claim 7, characterized in that: When determining whether the electrical cabinet and the electrical cabinet group have operation risks, the determination module prioritizes the operation risk performance value f of the electrical cabinet group based on the determination threshold; The electrical cabinet with operation risk sniffed by the sniffing module is: the electrical cabinet corresponding to the electrical cabinet operation risk performance value f whose operation risk performance value f is not within the judgment threshold.

9. The working environment monitoring system for an intelligent electrical cabinet according to claim 1, characterized in that: The single chip microcomputer is interactively connected to a collection module, a receiving module and a setting module through a wireless network; the collection module is interactively connected to a logic module and an identification module through a wireless network; the receiving module is interactively connected to an analysis module and a storage module through a wireless network; and the setting module is interactively connected to a determination module and a sniffing module through a wireless network.

10. A method for monitoring the working environment of a smart electrical cabinet, the method being an implementation method of a system for monitoring the working environment of a smart electrical cabinet as claimed in any one of claims 1 to 9, characterized in that: The following steps are involved: Step 1: Deploy the electrical cabinet working environment parameter collection equipment in the electrical cabinet installation area to obtain the environmental parameters of the electrical cabinet installation area; Step 11: Setting stage of deployment logic of equipment for collecting working environment parameters of electrical cabinet; Step 2: Identify the stability of the working environment of the electrical cabinet based on the environmental parameters of the electrical cabinet installation area; Step 21: Setting stage of the electrical cabinet working environment stability identification logic; Step 3: Obtain the identification result of the working environment stability of the electrical cabinet, and analyze the operating risk of the electrical cabinet in combination with the collected working environment parameters of the electrical cabinet; Step 31: Setting stage of risk analysis logic of electrical cabinet operation; Step 4: Set the electrical cabinet operation risk determination threshold, and determine whether the electrical cabinet has an operation risk based on the comparison between the electrical cabinet operation risk analysis result and the electrical cabinet operation risk determination threshold; Step 5: Obtain the electrical cabinet operation risk determination result, and sniff the electrical cabinet with operation risk based on the determination result.

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