Power distribution construction process-oriented edge-end equipment physical ID optimization scheduling method

Abstract

The invention relates to a power distribution construction process-oriented edge-end equipment physical ID optimization scheduling method, which comprises the following steps of: 1, generating an equipment physical ID for power distribution equipment in a power distribution construction process, obtaining position information of the equipment, and positioning the equipment; step 2, constructing an edge-end equipment object ID optimization scheduling model; step 3, based on the edge-end equipment physical ID optimization scheduling model constructed in the step 2, solving a model minimum value according to a distance minimum principle, realizing optimization networking, and obtaining a single-cycle networking result; and step 4, setting a sampling period based on the single-loop networking optimization result obtained in the step 3, and obtaining an optimization scheduling result of edge-end equipment networking. According to the invention, on-site loop optimization networking can be realized, the information interaction capability of the construction site is improved, and the synchronization capability of on-site data such as the construction process, personnel, equipment and tasks in the power distribution construction site is further improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of construction process optimization and scheduling, and relates to an "edge-to-end" equipment physical ID optimization and scheduling method, and in particular to an "edge-to-end" equipment physical ID optimization and scheduling method for a power distribution construction process. Background Art

[0002] At present, a major problem in power grid construction is the difficulty in synchronizing the construction progress with on-site data such as personnel, equipment, and tasks. The supervision and dispatching department is unable to obtain the on-site progress in the first place, making it difficult to ensure the efficiency and quality of the construction process. In addition, personnel management is difficult, resulting in difficulties in the implementation and assessment of the responsibility system for construction accidents. The human and material costs of on-site construction management are difficult to control efficiently, and the on-site replacement of construction units may occur, which in turn causes confusion in the division of responsibilities, making it difficult to trace the source of maintenance and failures in the future.

[0003] Traditionally, the supervision and dispatching of the construction process of power transmission projects mostly rely on manual inspections. In terms of scope, as the workload of line inspections in the ever-changing power grid construction continues to increase, when problems such as trees being too high in the defense zone are discovered during work, the on-site staff can only use simple records first and then return to the work area to log in to the system for entry, which not only affects work efficiency but also causes duplication of work.

[0004] In addition, most projects are located in remote and harsh geographical environments with many risk points, making it difficult for safety monitoring personnel to cover all aspects.

[0005] To this end, in order to address the problems of difficulty in synchronizing construction progress and on-site data, difficulty in information exchange, and low work efficiency in power distribution construction sites, the present invention proposes an "edge-to-end" equipment physical ID optimization scheduling method for the power distribution construction process, which utilizes the power distribution equipment networking technology to effectively improve the intelligent interaction capability of construction site equipment, realize circular networking, and reduce program complexity.

[0006] After searching, no public documents of the prior art identical or similar to the present invention were found. Summary of the invention

[0007] The purpose of the present invention is to overcome the shortcomings of the prior art and propose an "edge-to-end" equipment physical ID optimization scheduling method for the power distribution construction process, which can realize on-site cyclic optimization networking, improve the information interaction capability of the construction site, and thus improve the construction progress and on-site data synchronization capability such as personnel, equipment, and tasks in the power distribution construction site.

[0008] The present invention solves the practical problem by adopting the following technical solutions:

[0009] A method for optimizing the physical ID scheduling of "edge-to-end" equipment for power distribution construction process, comprising the following steps:

[0010] Step 1: Generate a physical ID for the power distribution equipment in the power distribution construction process, obtain the location information of the equipment, and locate the equipment;

[0011] Step 2: Based on the physical ID of the equipment and the equipment location information generated in step 1, an “edge-to-end” equipment physical ID optimization scheduling model is constructed;

[0012] Step 3: Based on the physical ID optimization scheduling model of the "edge-end" device constructed in step 2, the minimum value of the model is solved according to the minimum distance principle to achieve optimized networking and obtain a single-cycle networking result;

[0013] Step 4: Based on the single-cycle networking optimization result obtained in step 3, set the sampling period to obtain the optimized scheduling result of the "edge-end" device networking.

[0014] Moreover, the specific steps of step 1 include:

[0015] 1-1: Generate an ID for the device: Generate a unique ID for the device using the universal unique identifier method;

[0016] 1-2: Obtain device location information: By placing a satellite positioning module in the device, the location of the device is transmitted to the control center.

[0017] Moreover, the specific steps of step 2 include:

[0018] Step 2-1: Based on the physical ID of the device generated in step 1 and the device location information, a radiation domain model of a single device is constructed on-site to obtain the radiation domain of the device containing the physical ID;

[0019] Step 2-2: Based on the radiation domain model of the single device obtained in step 2-1, construct the boundary of the radiation domain intersection interval between the two devices, thereby completing the construction of the radiation domain intersection interval model between the two devices;

[0020] Step 2-3: Build a cross network of multiple devices;

[0021] Step 2-4: Considering the attenuation of the cross-interval of the radiation domain for the communication distance, the cross-network of multiple devices constructed in step 2-3 is optimized, and then an "edge-end" device physical ID optimization scheduling model is constructed.

[0022] Moreover, the specific steps of step 2-1 include:

[0023] (1) Based on the device location information obtained in step 1, a device is defined as a reference point. The communication range of any device is defined as a sphere centered on the device. The radius of the sphere is determined by the power of the communication device. The communication range of the reference device can be constructed. The lower radiation domain is:

[0024]

[0025] Where x, y, and z represent the coordinate axes of the spatial rectangular coordinate system; R o Represents the communication range of the reference device;

[0026] (2) Similarly, based on the device location information in step 1 and the ID generated for the device, the device ID is the device within the communication range of n devices. The lower radiation domain is:

[0027]

[0028] Where x idn ,y idn 、z idn They represent the position of the device with physical ID n relative to the reference point; x idn and idn Calculated based on satellite positioning results; idn Calculated based on the equipment elevation at the construction site, it can be ignored when measurement is difficult; R idn Indicates the communication range of the device with device ID n.

[0029] (3) Then, the radiation domain model of a single device is constructed, and the radiation domain of the device containing the physical ID is obtained.

[0030] Moreover, the specific method for obtaining the radiation domain of the device containing the physical ID in step (3) of step 2-1 is: according to the communication range parameter of the communication device, the communicative range of the corresponding device ID is assigned as a constant; each device with a physical ID is subjected to the operation of step (2), thereby obtaining the radiation domain of each device containing the physical ID.

[0031] Moreover, the specific steps of step 2-2 include:

[0032] (1) Construct a radiation domain intersection interval model for devices with device IDs n and m. First, based on the expression of the communicable distance in the radiation domain model for devices with device IDs n and m, determine the radiation domain intersection interval boundary curve and the spatial connection line of the devices:

[0033]

[0034] Where x idm ,y idm 、zidm They represent the position of the physical device with ID m relative to the reference point; R idm The device ID is m, which is the communication range of the device.

[0035] (2) The cone surface expression can be obtained based on the boundary curve and the connecting line:

[0036]

[0037] The double cone is a closed part enclosed by the above two sets of surface equations, where x', y', z', x", y", z" are the cone offset coordinates; k represents the sum of the normal distances of the two cones, specifically expressed as:

[0038]

[0039] Therefore, the construction of the boundary of the radiation domain intersection interval between the two devices is completed;

[0040] (3) Based on the constructed boundary of the radiation domain intersection interval between the two devices, the radiation domain intersection interval between the two devices is calculated. From the geometric relationship, the radiation domain intersection interval is the internal area surrounded by the cone surface, which constitutes the radiation domain intersection interval model between the two devices.

[0041] Moreover, the specific steps of steps 2-3 include:

[0042] (1) Extend the intersection of the radiation domains of two devices to more than two devices. If the radiation domains of three devices intersect, 2 to 3 intersections of radiation domains can be created. If the radiation domains of t devices intersect, 2 to 3 intersections of radiation domains can be created. The radiation domain intersection interval;

[0043] (2) A cross-network of multiple devices is constructed based on the cross-intervals of the radiation domains of multiple devices, that is, each device is connected in the generated double cone, thereby completing the construction of a cross-network of multiple devices.

[0044] Moreover, the specific method of steps 2-4 is:

[0045] Based on the attenuation operation algorithm of the cross-interval of the radiation domain, the objective function of the physical ID optimization scheduling model of the “edge-end” equipment is established:

[0046] The attenuation calculation formula is as follows:

[0047] Δ=69.55+26.16lgf c -13.82lgh+(0.449-0.0655lgh)lgd

[0048] Where: f cis the operating frequency, MHz; h is the effective antenna height of the base station transmission, which is a fixed value in meters; d is the length of the connecting line in the intersection interval of the radiation domain, and is also the independent variable of the objective function of step 2, in meters.

[0049] The objective function is constructed as:

[0050]

[0051] Where F is the objective function; Δ i is the attenuation of the ith connection.

[0052] Moreover, the specific steps of step 3 include:

[0053] 3-1. Disconnect unnecessary connections: Disconnect unnecessary connections within the ring node based on the distance optimization principle;

[0054] 3-2. According to the geometric constraints of the double cone formed in the radiation domain intersection interval model in step 2-2, the minimum value of the distance in the "edge-end" equipment physical ID optimization scheduling model is solved. The d value corresponding to the minimum value is the optimal connection line, and then the optimized network is completed;

[0055] 3-3. According to step 3-2, the d value corresponding to the minimum value of the "edge-end" device physical ID optimization scheduling model is retained, and the single-cycle networking result is completed.

[0056] Moreover, the specific method of step 4 is:

[0057] After the network optimization in step 3, a sampling period is set for the next task cycle at the construction site. After repeated sampling, dynamic networking is achieved to obtain the results of optimized scheduling of the physical ID of the "edge-to-end" equipment for the power distribution construction process.

[0058] Advantages and beneficial effects of the present invention:

[0059] 1. The present invention proposes a technical route for constructing a multi-device communication range constraint, which overcomes the difficulty of information exchange on the construction site in the prior art through the communication range of the terminal devices of the construction site personnel and equipment, and realizes terminal ID communication and networking.

[0060] 2. In the present invention patent, taking into account the defects of project diversity, equipment types, and large differences in personnel levels during power construction, a technical solution of optimizing the scheduling model of the physical ID of the "edge-to-end" equipment is adopted; by solving the minimum value of the model, the best networking solution is obtained, thereby overcoming the technical difficulties in synchronizing construction site data in the prior art.

[0061] 3. The present invention adopts a dynamic optimization technical solution, which can realize dynamic optimization of equipment through sampling cycles. The present invention has a fast update speed, small transmission loss and improved work efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0062] Figure 1 is a process flow chart of the present invention;

[0063] Figure 2 is a schematic diagram of a radiation domain model of a field-built device in the present invention;

[0064] Figure 3 It is a schematic diagram of optimizing the communication distance between devices in the present invention. DETAILED DESCRIPTION

[0065] The embodiments of the present invention are further described in detail below with reference to the accompanying drawings:

[0066] A physical ID optimization scheduling method for "edge-to-end" equipment in power distribution construction process, such as Figure 1 As shown, the following steps are included:

[0067] Step 1: Generate a physical ID for the power distribution equipment in the power distribution construction process, obtain the location information of the equipment, and locate the equipment;

[0068] The specific steps of step 1 include:

[0069] 1-1: Generate an ID for the device: Generate a unique ID for the device using the Universally Unique Identifier (UUID) method.

[0070] In this embodiment, a UUID generator may be used in a networked computer to generate batch IDs for devices, or a 128-bit digital (or 32-bit hexadecimal string) ID may be generated according to unit requirements.

[0071] 1-2: Obtain device location information: By placing a satellite positioning module in the device, the location of the device is transmitted to the control center.

[0072] In this embodiment, it is difficult to obtain the location of the device through the local area network at the construction site, so it is necessary to place a satellite positioning module in the device and transmit the precise location of the device to the control center.

[0073] Step 2: Based on the physical ID of the equipment and the equipment location information generated in step 1, an "edge-to-end" equipment physical ID optimization scheduling model is constructed;

[0074] The specific steps of step 2 include:

[0075] Step 2-1: Based on the physical ID of the device generated in step 1 and the device location information, a radiation domain model of a single device is constructed on-site to obtain the radiation domain of the device containing the physical ID;

[0076] The specific steps of step 2-1 include:

[0077] (1) Based on the device location information obtained in step 1, a device is defined as a reference point. The communication range of any device is defined as a sphere centered on the device. The radius of the sphere is determined by the power of the communication device. The communication range of the reference device can be constructed. The lower radiation domain is:

[0078]

[0079] Where x, y, and z represent the coordinate axes of the spatial rectangular coordinate system; R o Represents the communication range of the reference device;

[0080] (2) Similarly, based on the device location information in step 1 and the ID generated for the device, the device ID is the device within the communication range of n devices. The lower radiation domain is:

[0081]

[0082] Where x idn ,y idn 、z idn They represent the position of the device with physical ID n relative to the reference point; x idn and idn Calculated based on satellite positioning results; idn Calculated based on the equipment elevation at the construction site, it can be ignored when measurement is difficult; R idn Indicates the communication range of the device with device ID n.

[0083] (3) Then, the radiation domain model of a single device is constructed, and the radiation domain of the device containing the physical ID is obtained;

[0084] The specific method of obtaining the radiation domain containing the physical ID device in step (3) is:

[0085] According to the communication range parameter of the communication device, the communication range of the corresponding device ID is assigned as a constant; each device with a physical ID is operated in step (2) to obtain the radiation domain of each device with a physical ID.

[0086] Step 2-2: Based on the radiation domain model of the single device obtained in step 2-1, construct the boundary of the radiation domain intersection interval between the two devices, thereby completing the construction of the radiation domain intersection interval model between the two devices;

[0087] Step 2-2 needs to construct the boundary of the radiation domain intersection interval between the two devices based on the radiation domain model of the single device in step 2-1. The boundary curve of the intersection interval and the device form a double cone shape, and the optimal communication distance line is in the double cone.

[0088] The specific steps of step 2-2 include:

[0089] (1) Construct a radiation domain intersection interval model for devices with device IDs n and m. First, based on the expression of the communicable distance in the radiation domain model for devices with device IDs n and m, determine the radiation domain intersection interval boundary curve and the spatial connection line of the devices:

[0090]

[0091] Where x idm ,y idm 、z idm They represent the position of the physical device with ID m relative to the reference point; R idm The device ID is m, which is the communication range of the device.

[0092] (2) The cone surface expression can be obtained based on the boundary curve and the connecting line:

[0093]

[0094] The double cone is a closed part enclosed by the above two sets of surface equations, where x', y', z', x", y", z" are the cone offset coordinates; k represents the sum of the normal distances of the two cones, specifically expressed as:

[0095]

[0096]

[0097] Therefore, the construction of the boundary of the radiation domain intersection interval between the two devices is completed;

[0098] (3) Based on the constructed boundary of the radiation domain intersection interval between the two devices, the radiation domain intersection interval between the two devices is calculated. From the geometric relationship, the radiation domain intersection interval is the internal area surrounded by the cone surface, which constitutes the radiation domain intersection interval model between the two devices.

[0099] Step 2-3: Build a cross-network of multiple devices;

[0100] Step 2-3 builds a cross network of multiple devices based on the radiation domain model of a single device described in step 2-1 and the radiation domain cross section model between two devices described in step 2-2.

[0101] In this embodiment, there are more than two devices that need to communicate, so the steps for building a cross network of multiple devices are as follows:

[0102] The specific steps of step 2-3 include:

[0103] (1) Extend the intersection of the radiation domains of two devices to more than two devices. If the radiation domains of three devices intersect, 2 to 3 intersections of radiation domains can be created. If the radiation domains of t devices intersect, 2 to 3 intersections of radiation domains can be created. The radiation domain intersection interval;

[0104] In this embodiment, the connection lines between the devices are contained in the radial intersection area, and it is necessary to avoid generating redundant connections.

[0105] (2) A cross-network of multiple devices is constructed based on the cross-intervals of the radiation domains of multiple devices, that is, each device is connected in the generated double cone, thereby completing the construction of a cross-network of multiple devices.

[0106] Step 2-4: Considering the attenuation of the cross-interval of the radiation domain for the communication distance, the cross-network of multiple devices constructed in step 2-3 is optimized, and then the physical ID optimization scheduling model of the "edge-end" device is constructed;

[0107] In this embodiment, the radiation intersection domains of multiple devices constructed in step 2-3 can be regarded as geometric constraints, thereby converting the optimization scheduling problem into a mathematical problem. The present invention optimizes the network by comprehensively considering the attenuation of the radiation domain intersection interval.

[0108] The specific method of steps 2-4 is:

[0109] Based on the attenuation operation algorithm of the cross-interval of the radiation domain, the objective function of the physical ID optimization scheduling model of the “edge-end” equipment is established:

[0110] The attenuation calculation formula is as follows:

[0111] Δ=69.55+26.16lgf c -13.82lgh+(0.449-0.0655lgh)lgd

[0112] Where: f c is the operating frequency, MHz; h is the effective antenna height of the base station transmission, which is a fixed value in meters; d is the length of the connecting line in the intersection interval of the radiation domain, and is also the independent variable of the objective function of step 2, in meters.

[0113] In this embodiment, according to the attenuation calculation formula, it can be known that the attenuation amount is a function of the operating frequency and the length of the connecting line; the operating frequency of the communication equipment is a preset value and can be used as a constant, and the logarithmic function is a monotonic function, so this problem can be regarded as a constrained multidimensional linear function solution problem.

[0114] The objective function is constructed as:

[0115]

[0116] Where F is the objective function; Δ i is the attenuation of the ith connection.

[0117] Step 3: Based on the physical ID optimization scheduling model of the "edge-end" device constructed in step 2, the minimum value of the model is solved according to the minimum distance principle to achieve optimized networking and obtain a single-cycle networking result;

[0118] The specific method of step 3 is:

[0119] Based on the objective function of the "edge-end" device physical ID optimization scheduling model constructed in step 2, solve the minimum value and optimize the network according to the principle of minimum distance. The steps are divided into three points:

[0120] 3-1 Disconnect unnecessary connections: There are redundant connections in the network, which will form a ring and increase the communication burden. According to the principle of optimal distance, disconnect the redundant connections within the ring node.

[0121] 3-2 According to the geometric constraints of the double cone formed in the radiation domain intersection interval model in step 2-2, solve the minimum value of the distance in the "edge-end" equipment physical ID optimization scheduling model. The d value corresponding to the minimum value is the optimal connecting line, and then complete the optimized network.

[0122] 3-3. According to step 3-2, the d value corresponding to the minimum value of the "edge-end" device physical ID optimization scheduling model is retained, and the single-cycle networking result is completed.

[0123] Step 4: Based on the single-cycle networking optimization result obtained in step 3, set the sampling period to obtain the optimized scheduling result of the "edge-end" device networking.

[0124] The specific method of step 4 is:

[0125] After the network optimization in step 3, a sampling period is set for the next task cycle at the construction site. After repeated sampling, dynamic networking is achieved to obtain the results of optimized scheduling of the physical ID of the "edge-to-end" equipment for the power distribution construction process.

[0126] In this embodiment, step 4 is to set the sampling period to achieve "edge-end" device networking. Completing step 3 can be regarded as completing single-cycle networking, and setting the sampling period can achieve fully automatic dynamic networking; at the same time, manual intervention can stop entering the next networking cycle. When entering the next cycle, it will enter step 2, and then complete another round of networking update.

[0127] The present invention is further described below through specific examples:

[0128] An "edge-to-end" equipment physical ID optimization scheduling method for the power distribution construction process, the steps of which are as follows: assigning ID to equipment → obtaining the location of each device → building an optimization scheduling model → optimizing the network according to the communication attenuation equation → entering the next sampling cycle.

[0129] The specific instructions are as follows: ① Assigning an ID to a device is the basis for realizing this invention. You can use a computer with an Internet connection to log in to the UUID generation website, or you can assign an ID yourself based on the device data and number. ② To obtain the location of the device, you need to install a satellite positioning module in the device, and send the collected location information to the control center. ③ Constructing a radiation domain model, that is, using geometric methods to represent the communication range of the device, provides a basis for constructing a cross model. ④ Based on the radiation domain model, construct a radiation domain cross model, and its communication connection lines are contained in the model. ⑤ Establish an attenuation operation for the radiation domain cross interval, and construct an objective function for optimizing scheduling. ⑥ Solve the minimum value of the objective function to achieve the purpose of optimizing communication connections. ⑦ Manually determine whether to stop the cyclic networking. If there is no signal to stop the cycle, you can enter the next cycle.

[0130] Figure 2 It is a schematic diagram of the radiation domain model of the equipment constructed on site in the present invention. The circle represents the radiation domain of the equipment; the short dashed lines represent planes with different elevations; and the closed intervals surrounded by the long dashed lines represent the cross-intervals of the radiation domain divided by the constructed radiation domain model.

[0131] First, define a device with device ID m as a reference point at the construction site. The communication range of the device is defined as a sphere centered on the device. The lower radiation domain is:

[0132]

[0133] Where R idm Represents the communication range of the reference device; the center of this point corresponds to the origin of the xyz coordinate axis.

[0134] Similarly, other devices within the communication range The lower radiation domain is:

[0135]

[0136] Where x idn ,y idn 、z idn They represent the position of the device with physical ID n relative to the reference point; x idn and idn Calculated based on satellite positioning results; idn Calculated based on the equipment elevation at the construction site, it can be ignored when measurement is difficult; R idn Indicates that the physical ID is within the communication range of n devices.

[0137] According to the above radiation domain model, the intersection of the radiation domain between two devices is composed of spherical segments. The boundary curve of the spherical segment and the device form a double cone shape, and the optimal communication distance line is in the double cone. Figure 2 The middle is bounded by a long dashed line.

[0138] Figure 3 Schematic diagram of optimizing communication distance between devices in the present invention. There are three devices in the figure, with IDs n, m, and w respectively; the long dashed line represents the double cone boundary, and the short dashed line represents the communication distance. It can be noted that the communication distance between device n and device w is the geometric distance between the two; the communication between device n and device m needs to cross obstacles, so there is a turn; the communication between device m and device w is disconnected due to the long distance.

[0139] It should be emphasized that the embodiments described in the present invention are illustrative rather than restrictive. Therefore, the present invention includes but is not limited to the embodiments described in the specific implementation manner. Any other implementation manners derived by those skilled in the art based on the technical solution of the present invention also fall within the scope of protection of the present invention.

Claims

1. A method for optimizing the physical ID of "edge-to-end" equipment for power distribution construction process, characterized by: The following steps are involved: Step 1: Generate a physical ID for the power distribution equipment in the power distribution construction process, obtain the location information of the equipment, and locate the equipment; Step 2: Based on the physical ID of the equipment and the equipment location information generated in step 1, an "edge-to-end" equipment physical ID optimization scheduling model is constructed; Step 3: Based on the physical ID optimization scheduling model of the "edge-end" device constructed in step 2, the minimum value of the model is solved according to the minimum distance principle to achieve optimized networking and obtain a single-cycle networking result; Step 4: Based on the single-cycle networking optimization result obtained in step 3, set the sampling period to obtain the optimized scheduling result of the "edge-end" device networking.

2. According to claim 1, a method for optimizing the physical ID of "edge-to-end" equipment for power distribution construction process, characterized in that: The specific steps of step 1 include: 1-1: Generate an ID for the device: Generate a unique ID for the device using a universal unique identifier method; 1-2: Obtain device location information: By placing a satellite positioning module in the device, the location of the device is transmitted to the control center.

3. According to claim 1, a method for optimizing the physical ID of "edge-to-end" equipment for power distribution construction process, characterized in that: The specific steps of step 2 include: Step 2-1: Based on the physical ID of the device and the device location information generated in step 1, a radiation domain model of a single device is constructed on-site to obtain the radiation domain of the device containing the physical ID; Step 2-2: Based on the radiation domain model of the single device obtained in step 2-1, construct the boundary of the radiation domain intersection interval between the two devices, thereby completing the construction of the radiation domain intersection interval model between the two devices; Step 2-3: Build a cross network of multiple devices; Step 2-4: Considering the attenuation of the cross-interval of the radiation domain for the communication distance, the cross-network of multiple devices constructed in step 2-3 is optimized, and then an "edge-end" device physical ID optimization scheduling model is constructed.

4. According to claim 3, a method for optimizing the physical ID of "edge-to-end" equipment for power distribution construction process, characterized in that: The specific steps of step 2-1 include: (1) Based on the device location information obtained in step 1, a device is defined as a reference point. The communication range of any device is defined as a sphere centered on the device. The radius of the sphere is determined by the power of the communication device. The communication range of the reference device can be constructed. The lower radiation domain is: Where x, y, and z represent the coordinate axes of the spatial rectangular coordinate system; R o Represents the communication range of the reference device; (2) Similarly, based on the device location information in step 1 and the ID generated for the device, the device ID is the device within the communication range of n devices. The lower radiation domain is: Where x idn ,y idn 、z idn They represent the position of the device with physical ID n relative to the reference point; x idn and idn Calculated based on satellite positioning results; idn Calculated based on the equipment elevation at the construction site, it can be ignored when measurement is difficult; R idn The device ID is n, which is the communication range of the device. (3) Then, the radiation domain model of a single device is constructed, and the radiation domain of the device containing the physical ID is obtained.

5. According to claim 4, a method for optimizing the physical ID of "edge-to-end" equipment for power distribution construction process, characterized in that: The specific method for obtaining the radiation domain of the device containing the physical ID in step (3) of step 2-1 is: according to the communication range parameter of the communication device, assign a constant value to the communicative range of the corresponding device ID; perform the operation of step (2) on each device with a physical ID, and then obtain the radiation domain of each device containing the physical ID.

6. According to claim 3, a method for optimizing the physical ID of "edge-to-end" equipment for power distribution construction process, characterized in that: The specific steps of step 2-2 include: (1) Construct a radiation domain intersection interval model for devices with device IDs n and m. First, based on the expression of the communicable distance in the radiation domain model for devices with device IDs n and m, determine the radiation domain intersection interval boundary curve and the spatial connection line of the devices: Where x idm ,y idm 、z idm They represent the position of the physical device with ID m relative to the reference point; R idm The device ID is m, which is the communication range of the device. (2) The cone surface expression can be obtained based on the boundary curve and the connecting line: The double cone is a closed part enclosed by the above two sets of surface equations, where x', y', z', x", y", z" are the cone offset coordinates; k represents the sum of the normal distances of the two cones, specifically expressed as: Therefore, the construction of the boundary of the radiation domain intersection interval between the two devices is completed; (3) Based on the constructed boundary of the radiation domain intersection interval between the two devices, the radiation domain intersection interval between the two devices is calculated. From the geometric relationship, the radiation domain intersection interval is the internal area surrounded by the cone surface, which constitutes the radiation domain intersection interval model between the two devices.

7. According to claim 3, a method for optimizing the physical ID of "edge-to-end" equipment for power distribution construction process, characterized in that: The specific steps of step 2-3 include: (1) Extend the intersection of the radiation domains of two devices to more than two devices. If the radiation domains of three devices intersect, 2 to 3 intersections of radiation domains can be created. If the radiation domains of t devices intersect, 2 to 3 intersections of radiation domains can be created. The radiation domain intersection interval; (2) A cross-network of multiple devices is constructed based on the cross-intervals of the radiation domains of multiple devices, that is, each device is connected in the generated double cone, thereby completing the construction of a cross-network of multiple devices.

8. According to claim 3, a method for optimizing the physical ID of "edge-to-end" equipment for power distribution construction process, characterized in that: The specific method of steps 2-4 is: Based on the attenuation operation algorithm of the cross-interval of the radiation domain, the objective function of the physical ID optimization scheduling model of the "edge-end" equipment is established: The attenuation calculation formula is as follows: Δ=69.55+26.16lgf c -13.82lgh+(0.449-0.0655lgh)lgd Where: f c is the operating frequency, MHz; h is the effective antenna height of the base station transmission, which is a fixed value in meters; d is the length of the connection line in the intersection interval of the radiation domain, which is also the independent variable of the objective function of step 2, in meters; The objective function is constructed as: Where F is the objective function; Δ i is the attenuation of the ith connection.

9. According to claim 1, a method for optimizing the physical ID of "edge-to-end" equipment for power distribution construction process, characterized in that: The specific steps of step 3 include: 3-1. Disconnect unnecessary connections: Disconnect unnecessary connections within the ring node based on the distance optimization principle; 3-2. According to the geometric constraints of the double cone formed in the radiation domain intersection interval model in step 2-2, the minimum value of the distance in the "edge-end" equipment physical ID optimization scheduling model is solved. The d value corresponding to the minimum value is the optimal connection line, and then the optimization network is completed; 3-3. According to step 3-2, the d value corresponding to the minimum value of the "edge-end" device physical ID optimization scheduling model is retained, and the single-cycle networking result is completed.

10. According to claim 3, a method for optimizing the physical ID of "edge-to-end" equipment for power distribution construction process, characterized in that: The specific method of step 4 is: After the network optimization in step 3, a sampling period is set for the next task cycle at the construction site. After repeated sampling, dynamic networking is achieved to obtain the results of optimized scheduling of the physical ID of the "edge-to-end" equipment for the power distribution construction process.

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