Park equipment health evaluation method and device, storage medium and electronic equipment

Abstract

The application discloses a kind of park equipment health evaluation method, device, storage medium and electronic equipment, and the park is provided with multiple hierarchical collection devices, each hierarchical collection device is used to collect the equipment information of each park equipment, and the equipment information collected in real time and the abnormal data sent by the collection device of last level are sent to the collection device of next level, the method comprises: obtaining the equipment information of each park equipment sent by the collection device of highest level, and calculating the equipment health degree of each area and the equipment health degree of park according to area calculation scheme, and calculating the equipment health degree of each period and the equipment health degree of park according to time period calculation scheme;Health warning is carried out based on the health degree calculated by the two schemes.The application comprehensively evaluates the health degree of park operation, and provides good protection for daily operation of park.

Description

Technical Field

[0001] This invention relates to the field of data processing, and in particular to a method, apparatus, storage medium, and electronic device for evaluating the health of equipment in a park. Background Technology

[0002] With the development of technology, the informatization process of industrial parks is constantly advancing, and more and more equipment subsystems and information systems are being promoted and applied. Subsystems containing intelligent equipment, such as fire protection, security, parking, air conditioning, and dehumidifiers, have been widely adopted. However, these subsystems are independent of each other and lack data interconnection, creating the problem of "information silos." At the same time, the management and maintenance of numerous systems also bring inconvenience to managers and users.

[0003] Traditional operation and management methods are time-consuming, labor-intensive, and inefficient. Traditional operation and management relies on a single management system, supplemented by manual monitoring of the park's equipment and facilities to ensure their normal operation. However, current park health management involves complex processes across multiple departments and systems, resulting in long processing cycles, low efficiency, and significant time and labor costs. Summary of the Invention

[0004] In view of the above situation, it is necessary to provide a method, device, storage medium and electronic equipment for evaluating the health of park equipment to address the problem of low maintenance efficiency of park equipment in the existing technology.

[0005] This invention discloses a method for evaluating the health of equipment in a park. The park is equipped with multiple data collection devices, with each park device distributed and connected to one of these devices. The data collection devices are arranged hierarchically, with each level connected sequentially. The highest-level data collection device is connected to a terminal. Each level of data collection device collects equipment information from each park device and transmits the real-time collected equipment information, along with any abnormal data sent from the higher-level device, to the next lower-level device. The equipment information includes the park device's area identifier, device identifier, collection time, and abnormal events. The equipment health evaluation method is applicable to the device terminal and includes:

[0006] Obtain device information from each park's devices sent by the highest-level acquisition device; calculate the device health of each region according to the regional calculation scheme based on the device information; and calculate the device health of the entire park based on the device health of each region.

[0007] Based on the equipment information, calculate the equipment health status for each time period according to the time period calculation scheme, and calculate the equipment health status of the park based on the equipment health status for each time period;

[0008] Based on the equipment health status of each region and the equipment health status of the park calculated by the regional calculation scheme, and the equipment health status of each time period and the health status of the park calculated by the time period calculation scheme, a health warning is issued.

[0009] Furthermore, in the above-mentioned equipment health assessment method, the step of calculating the equipment health of each region according to the regional calculation scheme based on the equipment information includes:

[0010] Obtain the maximum allowed abnormal event threshold and health weight for each region;

[0011] Based on the equipment information, the actual number of equipment malfunction events occurring in each area is statistically analyzed;

[0012] The equipment health of each region is calculated based on the maximum permissible abnormal event threshold, health weight, and the actual number of abnormal events occurring in each region.

[0013] Furthermore, in the above-mentioned equipment health assessment method, the calculation formula for the equipment health status of each area is as follows:

[0014] S i =100*(1-A i / M i )*λ i , among which, S i For the device health status of the i-th region, A i M represents the actual number of equipment malfunction events occurring in the i-th region. i Let λ be the maximum permissible threshold for abnormal events in the i-th region. i Let be the health weight of the i-th region.

[0015] Furthermore, in the above-mentioned equipment health assessment method, the step of calculating the equipment health level for each time period based on the equipment information according to the time period calculation scheme includes:

[0016] Obtain the maximum allowed abnormal event threshold and health weight for each time period;

[0017] Based on the equipment information, the actual number of equipment malfunction events occurring in each time period is statistically analyzed.

[0018] The device health status is calculated based on the maximum permissible abnormal event threshold, health status weight, and the actual number of abnormal events occurring in each time period.

[0019] Furthermore, in the above-mentioned equipment health assessment method, the step of issuing a health warning based on the equipment health of each region and the equipment health of the park calculated according to the regional calculation scheme, and the equipment health of each time period and the health of the park calculated according to the time period calculation scheme, includes:

[0020] The calculated equipment health status of each region is compared with the corresponding regional health status threshold, and regions with equipment health status lower than the corresponding regional health status threshold are identified as abnormal health regions.

[0021] The calculated equipment health status for each time period is compared with the corresponding time period health status threshold, and the time periods in which the equipment health status is lower than the corresponding time period health status threshold are identified as abnormal health periods.

[0022] The equipment health of the park calculated by the regional calculation scheme and the time period calculation scheme are compared with the park health threshold of the corresponding scheme. If the equipment health of the park calculated by either scheme is lower than the park health threshold of the corresponding scheme, it is determined that the park is in an abnormal health condition.

[0023] Furthermore, in the aforementioned equipment health assessment method, the data acquisition devices at each level are used to collect equipment information of each park's equipment over a period of time at a preset frequency.

[0024] This invention also discloses a device for evaluating the health of equipment in a park. The park is equipped with multiple data collection devices, with each park device distributed and connected to one of these devices. These devices are arranged hierarchically, with each level connected sequentially. The highest-level device is connected to a terminal. Each level of data collection device collects equipment information from each park device and transmits the real-time collected information, along with any abnormal data from the previous level, to the next level. The equipment information includes the park device's area identifier, device identifier, collection time, and abnormal events. The device health evaluation device is applied to the device terminal and includes:

[0025] The acquisition module is used to acquire device information of various park devices sent by the highest-level acquisition device;

[0026] The calculation module is used to calculate the equipment health of each region according to the equipment information and a regional calculation scheme, and to calculate the equipment health of the entire park based on the equipment health of each region.

[0027] Based on the equipment information, calculate the equipment health status for each time period according to the time period calculation scheme, and calculate the equipment health status of the park based on the equipment health status for each time period;

[0028] The early warning module is used to issue health warnings based on the equipment health status of each region and the equipment health status of the park calculated by the regional calculation scheme, and the equipment health status of each time period and the park calculated by the time period calculation scheme.

[0029] Furthermore, in the aforementioned equipment health assessment device, the step of calculating the equipment health level of each region according to the regional calculation scheme based on the equipment information includes:

[0030] Obtain the maximum allowed abnormal event threshold and health weight for each region;

[0031] Based on the equipment information, the actual number of equipment malfunction events occurring in each area is statistically analyzed;

[0032] The equipment health of each region is calculated based on the maximum permissible abnormal event threshold, health weight, and the actual number of abnormal events occurring in each region.

[0033] The present invention also discloses a readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the equipment health assessment method for the park as described in any of the preceding claims.

[0034] The present invention also discloses an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the equipment health assessment method for the park as described above.

[0035] This invention uses a hierarchical data acquisition device to collect equipment information from various devices within a park. Based on regional and time-period calculation schemes, it performs health assessments on the park's equipment, enabling comprehensive analysis of all equipment within the park. This allows for targeted analysis of the health status of equipment at different locations within the park, comprehensively evaluating the park's operational health, providing robust assurance for the park's daily operations, and offering effective support for comprehensive security and routine maintenance within the park. Attached Figure Description

[0036] Figure 1 This is a flowchart of the equipment health assessment method for a park according to an embodiment of the present invention;

[0037] Figure 2 The specific implementation process of step S13;

[0038] Figure 3 This is a structural block diagram of the equipment health assessment device for the park in an embodiment of the present invention;

[0039] Figure 4 This is a schematic diagram of the structure of an electronic device in an embodiment of the present invention. Detailed Implementation

[0040] Embodiments of the present invention are described in detail below. Examples of these embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, and should not be construed as limiting the present invention.

[0041] These and other aspects of the embodiments of the invention will become clear from the following description and accompanying drawings. In these descriptions and drawings, some specific embodiments of the invention are specifically disclosed to illustrate some ways of implementing the principles of the embodiments of the invention; however, it should be understood that the scope of the embodiments of the invention is not limited thereto. Rather, the embodiments of the invention include all variations, modifications, and equivalents falling within the spirit and scope of the appended claims.

[0042] The equipment health assessment method for a park in this invention is used to conduct health assessments on various park equipment, such as access control devices, video surveillance systems, and alarm control panels. The park is equipped with multiple data acquisition devices, and the various park equipment are distributed and connected to these devices. One data acquisition device can connect to one or more park equipment. The data acquisition devices are arranged hierarchically, with each level connected sequentially, and the highest-level data acquisition device connected to a terminal. Each level can have one or more data acquisition devices, and a higher-level data acquisition device can connect to one or more lower-level data acquisition devices.

[0043] The system comprises several layers of data acquisition devices. Each layer collects device information from connected devices within the park and sends this information to the layer above it. Each layer of acquisition device then collects device information from its connected park devices in real time and sends this information, along with the information from the layer above, to the layer below. This device information includes the park device's area identifier, device identifier, collection time, and any abnormal events. These abnormal events may include device status anomalies, alarm anomalies, and command anomalies. The highest-level acquisition device then sends its own collected device information, along with information collected from other layers, to the device terminal.

[0044] In this invention, the acquisition devices at each level can be connected by wired or wireless communication methods. By connecting the acquisition devices in a hierarchical manner, it is easier to lay out the lines or form a network, and it can also improve the efficiency of information transmission.

[0045] Please see Figure 1 This is a method for evaluating the health of equipment in a park according to an embodiment of the present invention, applicable to the equipment terminal, and the method includes steps S11 to S13.

[0046] Step S11: Obtain device information of each park device sent by the highest-level acquisition device, calculate the device health of each region according to the regional calculation scheme based on the device information, and calculate the device health of the park based on the device health of each region.

[0047] Step S12: Calculate the equipment health status for each time period according to the equipment information and the time period calculation scheme, and calculate the equipment health status of the park according to the equipment health status for each time period.

[0048] The terminal device receives equipment information from the highest-level data collection device within the park. Understandably, each data collection device can collect equipment information from the park's equipment at a preset frequency for a given period. For example, it might collect equipment information for seven consecutive days each month and evaluate the equipment's health based on this data. By setting an appropriate task execution frequency, it aims to prevent equipment failures and provide maximum assurance for the normal operation of the equipment. Understandably, this preset frequency can be adjusted according to actual conditions. For example, if the health of the park's equipment is consistently good for an extended period, the collection frequency can be appropriately reduced; if poor equipment conditions are consistently detected, the collection frequency can be increased.

[0049] The terminal device calculates the health status of the park's equipment according to the acquired equipment information of each park's equipment, using both a regional calculation scheme and a time-based calculation scheme. Specifically, in one implementation of the present invention, the step of calculating the equipment health status of each region according to the regional calculation scheme based on the equipment information includes:

[0050] Obtain the maximum allowed abnormal event threshold and health weight for each region;

[0051] Based on the equipment information, the actual number of equipment malfunction events occurring in each area is statistically analyzed;

[0052] The equipment health of each region is calculated based on the maximum permissible abnormal event threshold, health weight, and the actual number of abnormal events occurring in each region.

[0053] The park is pre-planned with multiple zones, for example, divided by podium buildings, with each podium building constituting a zone. The terminal device is configured with the maximum permissible abnormal event threshold and health weight for each zone within the park. The maximum permissible abnormal event threshold is calculated based on factors such as the model, performance, and quantity of equipment in each zone, determining the expected number of abnormal events that may occur in each zone, and then using this information as the zone's maximum permissible abnormal event threshold. The degree of abnormality in each planned zone is analyzed using a zone abnormality weight ratio algorithm, and the overall operational health of the park is calculated according to the zone's proportion within the park. For example:

[0054] Time selection: 7 business days;

[0055] Park data collection area: Area 1 (the podium of Building 1);

[0056] Park surveillance equipment: 30 sets of video surveillance cameras;

[0057] Maximum permissible abnormal event threshold M1: 30 times;

[0058] Actual number of abnormal events sent (A1): 10 times;

[0059] The health score of the area within the park is λ1: 10%;

[0060] The health level of Area 1 (the podium of Building 1) is S1 = 100 * (1 - A1 / M1) * 10% = 6.7. The calculation method for other areas is the same, and will not be repeated here.

[0061] The formula for calculating the overall equipment health status Sn of the park is as follows: , where n is the number of zones in the park, Ai is the actual number of abnormal events occurring in the i-th zone, Mi is the maximum allowed abnormal event threshold for the i-th zone, and λi is the health weight of the i-th zone.

[0062] Furthermore, the step of calculating the device health status for each time period based on the device information according to the time period calculation scheme includes:

[0063] Obtain the maximum allowed abnormal event threshold and health weight for each time period;

[0064] Based on the equipment information, the actual number of equipment malfunction events occurring in each time period is statistically analyzed.

[0065] The device health status is calculated based on the maximum permissible abnormal event threshold, health status weight, and the actual number of abnormal events occurring in each time period.

[0066] The terminal device is also configured with the maximum permissible threshold for abnormal events and health weights for each time period in the park. These time periods are set according to the situation, for example, a day can be divided into 24 time periods, each hour being one period: (00:00-01:00), (01:00-02:00), (02:00-03:00), ..., (23:00-24:00). Specifically, the calculation scheme for this time period is as follows:

[0067] Time selection: 7 business days;

[0068] Park data collection period: (07:00-08:00)

[0069] Park surveillance equipment: 100 sets of video surveillance cameras;

[0070] Maximum permissible abnormal event threshold M1: 50 times;

[0071] Actual number of abnormal events A1: 10 times;

[0072] The weight of this period in the calculation of health status for a workday is λ1:10%.

[0073] The equipment health score for the period (07:00-08:00) is calculated as S1 = 100 * (1 - A1 / M1)) * 10% = 8. The calculation method for equipment health scores in other periods is the same and will not be elaborated here. The overall equipment health score for the park is then obtained. m is the number of time periods, Aj is the actual number of abnormal events occurring in the j-th time period, Mj is the maximum allowed abnormal event threshold in the j-th time period, and λj is the health weight in the j-th time period.

[0074] Step S13: Based on the equipment health of each region and the equipment health of the park calculated by the regional calculation scheme, and the equipment health of each time period and the health of the park calculated by the time period calculation scheme, a health warning is issued.

[0075] Specifically, such as Figure 2 As shown, in one embodiment of the present invention, a method for health early warning based on the equipment health of each region and the equipment health of the park calculated according to the regional calculation scheme, and the equipment health of each time period and the health of the park calculated according to the time period calculation scheme, includes:

[0076] Step S131: Compare the calculated equipment health of each region with the corresponding region health threshold, and identify regions where the equipment health is lower than the corresponding region health threshold as abnormal health regions.

[0077] Step S132: Compare the calculated equipment health status for each time period with the corresponding time period health status threshold, and determine the time periods when the equipment health status is lower than the corresponding time period health status threshold as abnormal health periods.

[0078] Step S133: Compare the equipment health of the park calculated by the regional calculation scheme and the time period calculation scheme with the park health threshold of the corresponding scheme, and determine the park health as abnormal when the equipment health of the park calculated by any scheme is lower than the park health threshold of the corresponding scheme.

[0079] In this embodiment, each region has a corresponding health threshold, which is set according to the equipment performance and regional requirements within that region. Each time period also has a corresponding health threshold, set according to the health requirements for that time period. Furthermore, the park health threshold can be set differently for different calculation schemes.

[0080] The equipment health level of each region is compared with the corresponding region health threshold. If the equipment health level of a region is lower than the corresponding region health threshold, the region is identified as an abnormal health region. The equipment health level of each time period is compared with the corresponding time period health threshold, and the time period below the corresponding time period health threshold is identified as an abnormal health period. Furthermore, the equipment health level of the park calculated by the region calculation scheme and the time period calculation scheme are compared with the park health threshold of the corresponding scheme. If the equipment health level of the park calculated by either scheme is lower than the park health threshold of the corresponding scheme, the park is identified as having an abnormal health.

[0081] Users can determine the overall status of equipment in the park based on the areas, time periods, and information on health anomalies. By combining the health scores of each area, fixed time period, and the overall park health score, users can promptly perform equipment maintenance.

[0082] This embodiment uses a hierarchical data acquisition device to collect equipment information from various devices within the park. It then uses regional and time-based calculation schemes to calculate the health status of the park's equipment, enabling comprehensive analysis of all equipment within the park. This allows for targeted analysis of the health status of equipment in different locations within the park, comprehensive assessment of the park's operational health, and provides robust assurance for the park's daily operations. It also provides effective support for the park's comprehensive security and routine maintenance.

[0083] Please see Figure 3 This invention provides a device health assessment device for a park, wherein the park is equipped with multiple data collection devices. Various park devices are distributed and connected to these devices, which are arranged hierarchically and connected sequentially. The highest-level device is connected to a terminal. Each level of data collection device collects device information from each park device and transmits the real-time collected device information, along with any abnormal data sent from the previous level, to the next level. The device information includes the park device's area identifier, device identifier, collection time, and abnormal events. The device health assessment device is applied to the device terminal and includes:

[0084] The acquisition module 31 is used to acquire the device information of each park device sent by the highest-level acquisition device;

[0085] Calculation module 32 is used to calculate the equipment health of each region according to the equipment information and the regional calculation scheme, and to calculate the equipment health of the entire park based on the equipment health of each region.

[0086] Based on the equipment information, calculate the equipment health status for each time period according to the time period calculation scheme, and calculate the equipment health status of the park based on the equipment health status for each time period;

[0087] The early warning module 33 is used to provide health warnings based on the equipment health of each region and the equipment health of the park calculated by the regional calculation scheme, and the equipment health of each time period and the health of the park calculated by the time period calculation scheme.

[0088] Furthermore, in the aforementioned equipment health assessment device, the step of calculating the equipment health level of each region according to the regional calculation scheme based on the equipment information includes:

[0089] Obtain the maximum allowed abnormal event threshold and health weight for each region;

[0090] Based on the equipment information, the actual number of equipment malfunction events occurring in each area is statistically analyzed;

[0091] The equipment health of each region is calculated based on the maximum permissible abnormal event threshold, health weight, and the actual number of abnormal events occurring in each region.

[0092] The device health evaluation device provided in this embodiment of the invention has the same implementation principle and technical effect as the aforementioned method embodiment. For the sake of brevity, any parts not mentioned in the device embodiment can be referred to the corresponding content in the aforementioned method embodiment.

[0093] In another aspect, the present invention also proposes an electronic device, please refer to [link to relevant documentation]. Figure 4 The image shows an electronic device according to an embodiment of the present invention, including a processor 10, a memory 20, and a computer program 30 stored in the memory and executable on the processor. When the processor 10 executes the computer program 30, it implements the above-described method for evaluating the health of equipment in a park.

[0094] The electronic device may be, but is not limited to, a personal computer, a mobile phone, or other computer equipment. In some embodiments, the processor 10 may be a central processing unit (CPU), a controller, a microcontroller, a microprocessor, or other data processing chip, used to run program code stored in the memory 20 or process data, etc.

[0095] The memory 20 includes at least one type of readable storage medium, such as flash memory, hard disk, multimedia card, card-type memory (e.g., SD or DX memory), magnetic memory, magnetic disk, optical disk, etc. In some embodiments, the memory 20 can be an internal storage unit of an electronic device, such as the hard disk of the electronic device. In other embodiments, the memory 20 can also be an external storage device of the electronic device, such as a plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, etc. Furthermore, the memory 20 can include both internal and external storage units of the electronic device. The memory 20 can be used not only to store application software and various types of data installed on the electronic device, but also to temporarily store data that has been output or will be output.

[0096] Optionally, the electronic device may further include a user interface, a network interface, a communication bus, etc. The user interface may include a display, an input unit such as a keyboard, and optionally, a standard wired interface or a wireless interface. Optionally, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, or an OLED (Organic Light-Emitting Diode) touchscreen, etc. The display may also be appropriately referred to as a screen or display unit, used to display information processed in the electronic device and to display a visual user interface. The network interface may optionally include a standard wired interface or a wireless interface (such as a Wi-Fi interface), typically used to establish communication connections between the device and other electronic devices. The communication bus is used to enable communication between these components.

[0097] It should be pointed out that, Figure 4 The structure shown does not constitute a limitation on the electronic device. In other embodiments, the electronic device may include fewer or more components than shown, or combine certain components, or have different component arrangements.

[0098] The present invention also proposes a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the above-described method for evaluating the health of equipment in a park.

[0099] Those skilled in the art will understand that the logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequential list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system or apparatus (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from or in conjunction with such an instruction execution system or apparatus). For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transmit programs for use by or in conjunction with an instruction execution system or apparatus.

[0100] More specific examples of computer-readable media (a non-exhaustive list) include: electrical connections (electronic devices) having one or more wires, portable computer disk drives (magnetic devices), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Furthermore, computer-readable media can even be paper or other suitable media on which the program can be printed, because the program can be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in computer memory.

[0101] It should be understood that various parts of the present invention can be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0102] In the description of this specification, references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0103] The embodiments described above are merely illustrative of several implementations of the present invention, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the present invention, and these modifications and improvements all fall within the scope of protection of the present invention. Therefore, the scope of protection of this patent should be determined by the appended claims.

Claims

1. A method for evaluating the health of equipment in a park, characterized in that, The park is equipped with multiple data collection devices. Various park devices are distributed and connected to these data collection devices, which are arranged hierarchically and connected sequentially. The highest-level data collection device is connected to a terminal. Each level of data collection device collects device information from the park's devices and transmits the real-time collected device information, along with any abnormal data sent from the higher-level device, to the next lower-level device. The device information includes the park device's area identifier, device identifier, collection time, and any abnormal events. The device health assessment method is applicable to the terminal and includes: Obtain device information from each park's devices sent by the highest-level acquisition device; calculate the device health of each region according to the regional calculation scheme based on the device information; and calculate the device health of the entire park based on the device health of each region. Based on the equipment information, calculate the equipment health status for each time period according to the time period calculation scheme, and calculate the equipment health status of the park based on the equipment health status for each time period; Based on the equipment health status of each region and the equipment health status of the park calculated by the regional calculation scheme, and the equipment health status of each time period and the equipment health status of the park calculated by the time period calculation scheme, health warnings are issued.

2. The equipment health assessment method as described in claim 1, characterized in that, The step of calculating the device health status of each region according to the regional calculation scheme based on the device information includes: Obtain the maximum allowed abnormal event threshold and health weight for each region; Based on the equipment information, the actual number of equipment malfunction events occurring in each area is statistically analyzed; The equipment health of each region is calculated based on the maximum permissible abnormal event threshold, health weight, and the actual number of abnormal events occurring in each region.

3. The equipment health assessment method as described in claim 2, characterized in that, The formula for calculating the equipment health status in each region is as follows: S i =100*(1-A i / M i )*λ i , among which, S i For the device health status of the i-th region, A i M represents the actual number of equipment malfunction events occurring in the i-th region. i Let λ be the maximum permissible threshold for abnormal events in the i-th region. i Let be the health weight of the i-th region.

4. The equipment health assessment method as described in claim 1, characterized in that, The step of calculating the device health status for each time period based on the device information and according to the time period calculation scheme includes: Obtain the maximum allowed abnormal event threshold and health weight for each time period; Based on the equipment information, the actual number of equipment malfunction events occurring in each time period is statistically analyzed. The device health status is calculated based on the maximum permissible abnormal event threshold, health status weight, and the actual number of abnormal events occurring in each time period.

5. The equipment health assessment method as described in claim 1, characterized in that, The steps for issuing a health warning, based on the equipment health status of each region and the equipment health status of the park calculated according to the regional calculation scheme, and the equipment health status of each time period and the equipment health status of the park calculated according to the time period calculation scheme, include: The calculated equipment health status of each region is compared with the corresponding region health status threshold, and regions with equipment health status lower than the corresponding region health status threshold are identified as abnormal health regions. The calculated equipment health status for each time period is compared with the corresponding time period health status threshold, and the time periods in which the equipment health status is lower than the corresponding time period health status threshold are identified as abnormal health periods. The equipment health of the park calculated by the regional calculation scheme and the time period calculation scheme are compared with the park health threshold of the corresponding scheme. If the equipment health of the park calculated by either scheme is lower than the park health threshold of the corresponding scheme, it is determined that the park is in an abnormal health condition.

6. The equipment health assessment method as described in claim 1, characterized in that, The data acquisition devices at each level are used to collect equipment information from various park devices over a period of time at a preset frequency.

7. A health assessment device for equipment in a park, characterized in that, The park is equipped with multiple data collection devices. Various park devices are distributed and connected to these data collection devices, which are arranged hierarchically and connected sequentially. The highest-level data collection device is connected to a terminal. Each level of data collection device collects device information from the park's devices and transmits the real-time collected device information, along with any abnormal data sent from the higher-level device, to the next lower-level device. The device information includes the park device's area identifier, device identifier, collection time, and any abnormal events. A device health evaluation device is applied to the terminal and includes: The acquisition module is used to acquire device information of various park devices sent by the highest-level acquisition device; The calculation module is used to calculate the equipment health of each region according to the equipment information and a regional calculation scheme, and to calculate the equipment health of the entire park based on the equipment health of each region. Based on the equipment information, calculate the equipment health status for each time period according to the time period calculation scheme, and calculate the equipment health status of the park based on the equipment health status for each time period; The early warning module is used to provide health warnings based on the equipment health status of each region and the equipment health status of the park calculated by the regional calculation scheme, as well as the equipment health status of each time period and the equipment health status of the park calculated by the time period calculation scheme.

8. The equipment health assessment device as described in claim 7, characterized in that, The step of calculating the device health status of each region according to the regional calculation scheme based on the device information includes: Obtain the maximum allowed abnormal event threshold and health weight for each region; Based on the equipment information, the actual number of equipment malfunction events occurring in each area is statistically analyzed; The equipment health of each region is calculated based on the maximum permissible abnormal event threshold, health weight, and the actual number of abnormal events occurring in each region.

9. A readable storage medium having a computer program stored thereon, characterized in that, When executed by the processor, the program implements the equipment health assessment method for the park as described in any one of claims 1 to 6.

10. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the equipment health assessment method for the park as described in any one of claims 1 to 6.

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