A remote security management and control method supporting local area network
By supporting remote security management and control methods of LAN, real-time data analysis and remote control services are used to solve the problems of security risks in the intelligent substation security system, efficient security management is achieved, operation and maintenance costs and manual operation risks are reduced, and the operation and maintenance costs are reduced, ensuring that Safe operation of the substation.
Patent Information
- Application Number
- CN202410683469.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-05-30
- Publication Date
- 2024-12-06
- Estimated Expiration
- 2044-05-30
AI Technical Summary
The existing smart substation security system may cause safety hazards when the entrance and exit control is not strict, and cannot meet the safety management needs of substations. Especially when unattended, there is a risk of theft and damage.
Adopt remote security management and control methods that support LAN, and realize automated analysis and remote control services through real-time door opening recording and reporting, video surveillance, door status display, abnormal statistics, remote control and alarm processing, combined with online real-time data reporting and sensor analysis, to achieve automated analysis and remote control services, reducing Manual operation to improve safety.
It realizes remote security management with high data timeliness, diverse management and control methods and easy maintenance, reduces safety hazards, reduces operation and maintenance pressure and costs, improves the degree of automation, and ensures the long-term and reliable operation of the equipment.
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Figure CN118612248B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of intelligent auxiliary systems for transformer substations, and in particular to a remote security management and control method supporting a local area network. Background Art
[0002] Substations are important places that provide electricity for the normal operation of cities. The safety of substations is the prerequisite for ensuring their normal operation. Therefore, a good substation security system and professional maintenance personnel are the top priorities for ensuring the normal operation of substations. Different areas in substations have different sources of danger, and there are strict management requirements within substations. With the continuous development of the number and size of substations, the management of substations tends to be automated and intelligent. Management personnel often need to manage and maintain several substations. Many substations are unattended, and many equipment in substations are relatively expensive. In order to ensure the safe operation of substations and prevent damage or theft, To prevent unauthorized persons from entering the substation, the substation security system is particularly important. During the operation of the existing security system of the intelligent substation, due to the lax control of the entrances and exits, safety hazards may occur, which may cause serious losses to life and property safety and seriously affect the safe operation of the substation. The existing security system can no longer meet the development and security needs of the existing substation; for this reason, the applicant proposes a remote security management and control method that supports the local area network according to the needs. On the basis of the traditional security system, real-time door opening record reporting, real-time video monitoring, door status display, abnormal statistics, remote control, and abnormal alarm processing are added. Online real-time data reporting sensor analysis and remote control services, at the same time, targeted monitoring of individual key entrances and exits, and patrol monitoring of all points, in order to achieve the purpose of reducing manual operation, key monitoring, comprehensive analysis and abnormal alarm processing, thereby reducing safety hazards. Summary of the invention
[0003] In order to solve the above technical problems, the present invention proposes a remote security management and control method supporting a local area network. When the system is monitored in real time, a device ledger is established through relevant communication protocols, and sensor data is fed back to the monitoring platform in real time, so that the platform can see the device status at a glance. At the same time, the monitoring platform performs in-depth statistical analysis on the data, discovers abnormalities in time, and issues alarm information to achieve the purpose of timely handling hidden dangers. The remote security management and control method supporting a local area network has the characteristics of high data timeliness, diverse management and control means, and easy maintenance. It is remotely controlled and convenient and fast.
[0004] To achieve the above object, the technical solution adopted by the present invention is:
[0005] A remote security management and control method supporting a local area network, characterized in that: the specific steps of the remote security management and control method supporting a local area network are:
[0006] Step 1: The user creates a ledger. The user will need to create a ledger for the security equipment connected to the system and perform systematic modeling and maintenance;
[0007] Step 2: Access the local area network, connect the security equipment and system that need remote security management to the same local area network, and establish a communication channel between the system and the security equipment;
[0008] Step 3: Obtain security equipment data, establish equipment records through the communication channel established between the system and the security equipment, use relevant communication protocols to collect sensor data of security equipment, clean and analyze the data, and obtain current state quantity data from the analysis node;
[0009] Step 4: Perform sensor analysis and remote services. Through sensor analysis and remote control services, perform data aggregation and attribute analysis on sensor data of each node, use data collection and analysis algorithms to determine whether the current security equipment status and data are abnormal, and realize automated analysis.
[0010] Step 5: Push alarm. The system sends out alarm information after detecting abnormality through sensor analysis and remote control service information.
[0011] Step 6: Eliminate the alarm. After obtaining the alarm information, the on-duty personnel will confirm and process it, remotely control the security equipment to perform relevant operations, eliminate the alarm information after processing, and save the relevant data for later review;
[0012] Step 7: Data summary and export: the system regularly summarizes data and generates report exports.
[0013] Furthermore, the specific steps of establishing the equipment ledger in step 3, using relevant communication protocols, collecting the sensor data of the security equipment, cleaning and analyzing the data, and obtaining the current state quantity data of the analysis node are as follows:
[0014] 1) Obtain sensor node data based on the communication channel established between the system and the security equipment, generate data strips for the access sensor node data, model and virtualize the data strips to expand them into devices, and configure the device's affiliation;
[0015] 2) Establish the logical relationship between sensors and models, refine the abnormal state identification to the model level, establish a real-time analysis library according to the national grid standards and the specific requirements of the site, and collect the sensor data of security equipment according to the affiliation of the equipment in the model;
[0016] 3) Clean and analyze the collected sensor data, clean the data under abnormal conditions according to the logical relationship between the sensor and the model, eliminate the factors that affect the analysis in the data, and analyze the nodes to obtain the current state quantity data.
[0017] Furthermore, the data collection and analysis algorithm in step 4 is specifically as follows:
[0018] 1) Model creation: the system is connected to the security host, a door model is established, and the security equipment data model in the system is generated through the creation of the model by sensors. One or more associated sensor nodes are set for the security equipment in the data model, and the function types of the nodes are set as open door, close door, open door disarm and close door deployment, and the device sensor configuration items are associated with the door model; the system has a self-detection function, automatically puts the model into control, and obtains the sensor report value;
[0019] 2) Process the sensor reported value, let a be the signal node of sensor door 1, k0 be the position-in-place time, k1 be the closing position time, k be the warning value, if a reports a status value of 0, it is considered as position-in-place, at this time the position-in-place time is equal to k0, if a+k0≤k, the state is normal, a keeps monitoring; when the state value 1 is received for the first time, that is, a=1 &&a+k0≤k, it is considered as closing position; if a reports a status value of 0, at this time the position-in-place time is equal to k0, if a+k0≤k, the state is normal, a keeps monitoring, when the state value 1 is received again, and a=0&&a+k0≥k, it is considered as the door has not been closed for a long time, the model sensor value will report the information for analysis and remote control service;
[0020] 3) Offline position analysis of security equipment: Calculate the time and number of equipment position changes based on the signal position change reporting and analysis service of the door; if the previous point is offline and the next point becomes online, then the time is counted as the online position change time and the number is counted as 1; if the previous point is assumed to be offline and the next point is still offline, then the time is counted as the offline time and the number is counted as 0; summarize the status points of the day in a list in the order of reporting, and loop through the list; first set an initial point b, and set the value of this point to the first point b1 in the list. If the status of b is online 1, then the timestamp of b1 minus the timestamp of b is the online time; if the status of b is offline 0, then the timestamp of b1 minus the timestamp of b is the offline time; loop into the next point b2, and set the value of the initial point to b1 at this time, and then repeat the operation to obtain the statistics table of offline position changes of security equipment.
[0021] The benefits of this application are:
[0022] 1. Wide application scope;
[0023] The scope of application of this method is wide, including but not limited to application scenarios such as substations and centralized control stations that require data collection and analysis;
[0024] 2. High degree of digitization;
[0025] Compared with the existing security system and manual station control, this method introduces real-time data flow, data cleaning and aggregation, abnormality identification, intelligent linkage and alarm, remote control, etc., avoiding the risk of negligence and high cost that may exist in general manual operation, while reducing the pressure of operation and maintenance, improving digitization, and realizing high-digital system analysis;
[0026] 3. Effectively reduce security costs;
[0027] This method fundamentally solves the problem that the previous security system requires manual guarding and manual identification, and solves the problems of high labor costs and low processing efficiency. It only needs to pay attention to the real-time data status reported by the system, and analyze the data in real time, supplemented by various remote control means and linkage functions. According to the notification, the final manual verification and confirmation can be carried out in time to discover the potential safety hazards caused by abnormal status, and intervene in advance to eliminate the defects, effectively reducing security costs;
[0028] 4. High degree of automation;
[0029] This method can fully cover application scenarios such as substations, conduct statistical analysis of automated equipment status, greatly reduce manual labor, improve the accuracy of potential fault detection, ensure long-term and reliable operation of equipment, and improve the overall quality and efficiency of operation and maintenance work. BRIEF DESCRIPTION OF THE DRAWINGS
[0030] Figure 1 It is a schematic diagram of the working process of the present invention;
[0031] Figure 2 It is a schematic diagram of the linkage interface of the present invention;
[0032] Figure 3 It is a schematic diagram for an overview of the application of the present invention;
[0033] Figure 4 It is a schematic diagram of the state interface of the present invention;
[0034] Figure 5 This is a schematic diagram of the rule configuration interface of the present invention;
[0035] Figure 6 This is a schematic diagram of the remote control interface of the present invention;
[0036] Figure 7 This is a real-time data schematic diagram of the present invention. DETAILED DESCRIPTION
[0037] The present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments:
[0038] like Figure 1 As shown, a remote security management and control method supporting a local area network is shown, and the specific steps of the remote security management and control method supporting a local area network are shown as follows:
[0039] Step 1: The user creates a ledger. The user will need to create a ledger for the security equipment connected to the system and perform systematic modeling and maintenance;
[0040] Step 2: Access the LAN, connect the security equipment and system that need remote security management to the same LAN, and establish a communication channel between the system and the security equipment; the cables of the security equipment connected to the system must support the Wiegand protocol;
[0041] Step 3: Obtain security equipment data, establish equipment records through the communication channel established between the system and the security equipment, use relevant communication protocols to collect sensor data of security equipment, clean and analyze the data, and obtain current state quantity data from the analysis node;
[0042] Step 4: Perform sensor analysis and remote services. Through sensor analysis and remote control services, perform data aggregation and attribute analysis on sensor data of each node, use data collection and analysis algorithms to determine whether the current security equipment status and data are abnormal, and realize automated analysis.
[0043] Step 5: Push alarm. The system sends out alarm information after detecting abnormality through sensor analysis and remote control service information.
[0044] Step 6: Eliminate the alarm. After obtaining the alarm information, the on-duty personnel will confirm and process it, remotely control the security equipment to perform relevant operations, eliminate the alarm information after processing, and save the relevant data for later review;
[0045] Step 7: Data summary and export: the system regularly summarizes data and generates report exports.
[0046] The specific steps for establishing the equipment ledger in step 3, using relevant communication protocols, collecting the sensor data of security equipment, cleaning and analyzing the data, and obtaining the current state quantity data of the analysis node are as follows:
[0047] Step 1: Obtain sensor node data based on the communication channel established between the system and the security equipment, generate data strips for the access sensor node data, model and virtualize the data strips to expand them into devices, and configure the affiliation of the devices;
[0048] Step 2: Establish the logical relationship between the sensor and the model, refine the abnormal state identification to the model level, establish a real-time analysis library according to the national grid standards and the specific requirements of the site, and collect the sensor data of the security equipment according to the affiliation of the equipment in the model;
[0049] Step 3: Clean and analyze the collected sensor data. Clean the data under abnormal conditions according to the logical relationship between the sensor and the model, eliminate the factors that affect the analysis in the data, and analyze the nodes to obtain the current state quantity data.
[0050] The data collection and analysis algorithm in step 4 is specifically as follows:
[0051] 1) Model creation: the system is connected to the security host, and a door model is established. The security equipment data model in the system is generated by creating the model through sensors. When creating basic information, it is necessary to set the IP connection account and password of the device in accordance with certain specifications. One or more associated sensor nodes are set for the security equipment in the data model, and the function types of the nodes are set to open the door, close the door, open the door to disarm, and close the door to deploy. The device sensor configuration item is associated with a door model, which will be visible on the user side. In the future, you only need to operate the model without the tedious identification of sensors. It also supports the rebinding and unbinding of sensors and models. The system has a self-detection function, which automatically puts the model under control and obtains the sensor report value.
[0052] 2) Process the sensor reported value, let a be the signal node of sensor door 1, k0 be the position-in-place time, k1 be the closing position time, k be the warning value, if a reports a status value of 0, it is considered as position-in-place, at this time the position-in-place time is equal to k0, if a+k0≤k, the state is normal, a keeps monitoring; when the state value 1 is received for the first time, that is, a=1 &&a+k0≤k, it is considered as closing position; if a reports a status value of 0, at this time the position-in-place time is equal to k0, if a+k0≤k, the state is normal, a keeps monitoring, when the state value 1 is received again, and a=0&&a+k0≥k, it is considered as the door has not been closed for a long time, the model sensor value will report the information for analysis and remote control service;
[0053] 3) Offline position analysis of security equipment: Calculate the time and number of equipment position changes based on the signal position change reporting and analysis service of the door; if the previous point is offline and the next point becomes online, then the time is counted as the online position change time and the number is counted as 1; if the previous point is assumed to be offline and the next point is still offline, then the time is counted as the offline time and the number is counted as 0; summarize the status points of the day in a list in the order of reporting, and loop through the list; first set an initial point b, and set the value of this point to the first point b1 in the list. If the status of b is online 1, then the timestamp of b1 minus the timestamp of b is the online time; if the status of b is offline 0, then the timestamp of b1 minus the timestamp of b is the offline time; loop into the next point b2, at this time set the value of the initial point to b1, and then repeat the operation to obtain the statistics table of offline position changes of security equipment.
[0054] The remote security management and control method of the local area network of the present invention, through the internal and external relevant communication protocols, is established through the sensor model, and the data is fed back in real time for sensor analysis and remote control services, and then reported to the security platform and other platforms. It can not only perform security management and control on key areas, but also take different measures and business analysis remotely to achieve practical purposes. The system has the characteristics of high data timeliness and convenient monitoring. It fundamentally solves the problems of manual guarding and manual identification, and solves the problems of high labor costs and low processing efficiency. It only needs to pay attention to the real-time data status reported by the system, and analyze the data in real time, assisted by various remote control means and linkage functions, and finally check and confirm according to the notification, so as to promptly discover the safety hazards caused by abnormal status, and intervene in advance to eliminate the defects.
[0055] like Figure 2-7 As shown in the figure, the organizational structure of the municipal power company is generally divided into three layers, namely the municipal company, operation and maintenance team, and substation. The municipal company and operation and maintenance team only need to pay attention to the equipment status statistics, such as Figure 3 As shown, the overall situation of the model under the power supply company's operation and maintenance team is generally displayed; after selecting the substation level or entering through the page data, the status and operation of each specific device in the substation are displayed, such as Figure 2 As shown, the security equipment can be linked, such as Figure 4 as shown; Figure 5 The rule configuration shown can define the status alarm rules of all nodes and provide them to the analysis service as the basis for data collection and analysis; as shown in Figure 6, the remote function supports the control of each specific device; Figure 7 You can view real-time data as shown.
[0056] The above description is only a preferred embodiment of the present invention and does not constitute any other form of limitation to the present invention. Any modification or equivalent change made based on the technical essence of the present invention still falls within the scope of protection required by the present invention.
Claims
1. A remote security management and control method supporting local area network, Features: The specific steps of the remote security management and control method supporting local area network are: Step 1: The user creates a ledger. The user will need to create a ledger for the security equipment connected to the system and perform systematic modeling and maintenance; Step 2: Access the LAN, connect the security equipment and system that need remote security management to the same LAN, and establish a communication channel between the system and the security equipment; Step 3: Obtain security equipment data, establish equipment records through the communication channel established between the system and the security equipment, use relevant communication protocols to collect sensor data of security equipment, clean and analyze the data, and obtain current state quantity data from the analysis node; The specific steps of establishing the equipment ledger in step 3, using relevant communication protocols, collecting the sensor data of the security equipment, cleaning and analyzing the data, and obtaining the current state quantity data of the analysis node are as follows: 1) Obtain sensor node data based on the communication channel established between the system and the security equipment, generate data strips for the access sensor node data, model and virtualize the data strips to expand them into devices, and configure the device's affiliation; 2) Establish the logical relationship between sensors and models, refine the abnormal state identification to the model level, establish a real-time analysis library according to the national grid standards and the specific requirements of the site, and collect the sensor data of security equipment according to the affiliation of the equipment in the model; 3) Clean and analyze the collected sensor data, clean the data under abnormal conditions according to the logical relationship between the sensor and the model, eliminate the factors that affect the analysis in the data, and analyze the nodes to obtain the current state quantity data; Step 4: Perform sensor analysis and remote services. Through sensor analysis and remote control services, perform data aggregation and attribute analysis on sensor data of each node, use data collection and analysis algorithms to determine whether the current security equipment status and data are abnormal, and realize automated analysis. The data collection and analysis algorithm in step 4 is specifically as follows: 1) Model creation: the system is connected to the security host, a door model is established, and the security equipment data model in the system is generated through the creation of the model by sensors. One or more associated sensor nodes are set for the security equipment in the data model, and the function types of the nodes are set as open door, close door, open door disarm and close door deployment, and the device sensor configuration items are associated with the door model; the system has a self-detection function, automatically puts the model into control, and obtains the sensor report value; 2) Process the sensor reported value, let a be the signal node of sensor door 1, k0 be the position-off time, k1 be the position-closed time, k be the warning value, if a reports a status value of 0, it is considered as position-off, at this time the position-off time is equal to k0, if a+k0≤k, the state is normal, a keeps monitoring; when the state value 1 is received for the first time, that is, a=1 && a+k0≤k, it is considered as closed; if a reports a status value of 0, at this time the position-off time is equal to k0, if a+k0≤k, the state is normal, a keeps monitoring, when the state value 1 is received again, and a=0 && a+k0≥k, it is considered as the door has not been closed for a long time, the model sensor value reports the information for analysis and remote control service; 3) Offline position analysis of security equipment, based on the door signal position reporting analysis service, calculate the time and number of equipment position changes; If the previous point is offline and the next point becomes online, the time is counted as the online change time, and the number is counted as 1; If the previous point is assumed to be offline and the next point is also offline, then the time is counted as offline time and the number is counted as 0; summarize the status points of the day in a list according to the reporting order, and loop through the list; first set an initial point b, and set the value of this point to the first point b1 in the list. If the status of b is online 1, then the timestamp of b1 minus the timestamp of b is the online time; if the status of b is offline 0, then the timestamp of b1 minus the timestamp of b is the offline time; loop into the next point b2, at this time set the value of the initial point to b1, and then repeat the operation to obtain the statistics table of the offline position change of security equipment; Step 5: Push alarm. The system sends out alarm information after detecting abnormality through sensor analysis and remote control service information. Step 6: Eliminate the alarm. After obtaining the alarm information, the on-duty personnel will confirm and process it, remotely control the security equipment to perform relevant operations, eliminate the alarm information after processing, and save the relevant data for later review; Step 7: Data summary and export: the system regularly summarizes data and generates report exports.
